niman

University of Wisconsin released (at GISAID) 36 recent (collected between 4/6-4/13) SARS CoV2 Wisconsin sequences. 31 were the Italian lineage.

This information is updated daily at 3 p.m., with COVID-19 results included as of 10 a.m. Confirmed COVID-19 Cases by Jurisdiction updated 4/18/2020 County Confirmed Cases Reported Deaths Alcona 1 Allegan 33 Alpena 2 1 Antrim 8 Arenac 9 Barry 21 1 Bay 79 2 Benzie 2 Berrien 153 8 Branch 35 2 Calhoun 136 5 Cass 22 1 Charlevoix 12 1 Cheboygan 14 1 Chippewa 1 Clare 8 1 Clinton 103 6 Crawford 26 2 Delta 12 1 Detroit City 7497 589 Dickinson 3 2 Eaton 88 5 Emmet 21 2 Genesee 1228 112 Gladwin 9 Gogebic 4 1 Grand Traverse 18 4 Gratiot 7 Hillsdale 89 11 Houghton 2 Huron 10 Ingham 304 6 Ionia 22 2 Iosco 11 1 Isabella 51 7 Jackson 232 9 Kalamazoo 154 9 Kalkaska 17 2 Kent 460 23 Lake 2 Lapeer 141 18 Leelanau 7 Lenawee 62 Livingston 276 10 Luce 1 Mackinac 4 Macomb 4251 384 Manistee 11 Marquette 29 6 Mason 4 Mecosta 12 1 Menominee 1 Midland 43 2 Missaukee 3 1 Monroe 224 10 Montcalm 24 1 Montmorency 4 Muskegon 136 5 Newaygo 7 Oakland 6021 458 Oceana 3 1 Ogemaw 5 Osceola 6 Oscoda 4 Otsego 54 5 Ottawa 98 5 Presque Isle 2 Roscommon 9 Saginaw 394 24 Sanilac 32 3 Schoolcraft 3 Shiawassee 91 2 St Clair 241 7 St Joseph 24 1 Tuscola 59 11 Van Buren 31 2 Washtenaw 870 29 Wayne 5974 481 Wexford 7 1 MDOC* 550 17 FCI** 45 Unknown 48 5 Out of State 74 1 Totals 30791 2308 City of Detroit and Wayne County are reported separately. *Michigan Department of Corrections **Federal Correctional Institute Note on cumulative counts: This report is provisional and subject to change. As public health investigations of individual cases continue, there will be corrections to the status and details of referred cases that result in changes to this report. Note on the deaths: Deaths must be reported by health care providers, medical examiners/coroners, and recorded by local health departments in order to be counted. Note on jurisdictional classification: In order to provide more accurate data, the “Other” jurisdiction category will no longer be used. Michigan Department of Corrections cases will be listed under “MDOC”. Federal Correctional Institution cases will be listed under “FCI”. Note on Case Fatality Rate: The case fatality rate is the number of people who have died from causes associated with COVID-19 out of the total number of people with confirmed COVID-19 infections. It is used as one measure of illness severity. Several factors can affect this number. Until recently, COVID-19 lab testing has prioritized for hospitalized individuals due to limited testing availability. As a result, COVID-19 infections were identified more often in people who were more severely ill. This would lead to a higher case fatality rate. As more people with mild illness are tested, it is likely the case fatality rate will go down. Links DAILY COUNTS LAB TESTING DATA ABOUT PLACES CORONAVIRUS SYMPTOMS Cumulative Total of Recovered COVID-19 Cases (as of 4/17/2020): 3,237 Note on recovery: During this response, MDHHS is reviewing vital records statistics to identify any laboratory confirmed COVID-19 cases who are 30 days out from their onset of illness to represent recovery status. As the pandemic continues to impact Michigan, this pool will expand to include more cases. Recovered is defined as the number of persons with a confirmed COVID-19 diagnosis who are alive 30 days post-onset (or referral date if onset is not available). The number of persons recovered on April 17, 2020 represents COVID-19 confirmed individuals with an onset date on or prior to March 18, 2020. These numbers will be updated every Saturday. Source: Michigan Disease Surveillance System and Vital Records Age Data of Overall Deceased Average Age 73.8 years Median Age 75 years Age Range 20-107 years Overall Case Fatality Rate Statewide Confirmed Cases 7% Cases by Sex Sex Percentage of Overall Cases by Sex Percentage of Deceased Cases by Sex Male 45% 56% Female 54% 44% Unknown 1% <1% Totals may not add to 100% due to rounding Cases by Age Age Percentage of Overall Cases by Age Percentage of Deceased Cases by Age 0 to 19 1% 0% 20 to 29 9% <1% 30 to 39 13% 1% 40 to 49 16% 4% 50 to 59 19% 9% 60 to 69 18% 19% 70 to 79 13% 28% 80+ 11% 38% Unknown <1% 0% Totals may not add to 100% due to rounding Cases by Race Race Percentage of Overall Cases by Race Percentage of Deceased Cases by Race American Indian or Alaska Native <1% <1% Asian/Pacific Islander 2% 1% Black or African American 33% 41% Caucasian 30% 43% Multiple Races 6% 1% Other 3% 2% Unknown 26% 11% Totals may not add to 100% due to rounding Cases by Hispanic/Latino Ethnicity Hispanic/Latino Ethnicity Percentage of Overall Cases by Ethnicity Percentage of Deceased Cases by Ethnicity Hispanic/Latino 2% 1% Non-Hispanic Latino 56% 71% Unknown 42% 28% Totals may not add to 100% due to rounding Cases by Arab Ethnicity Arab Ethnicity Percentage of Overall Cases by Ethnicity Percentage of Deceased Cases by Ethnicity Arab 1% 1% Non-Arab 23% 23% Unknown 76% 76% Totals may not add to 100% due to rounding https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173---,00.html

Bergen County: 12,163 Positive Test Results 741 Deaths Hudson County: 9,956 Positive Test Results 434 Deaths Essex County: 9,901 Positive Test Results 732 Deaths Union County: 8,959 Positive Test Results 356 Deaths Passaic County: 7,936 Positive Test Results 243 Deaths Middlesex County: 7,624 Positive Test Results 313 Deaths Ocean County: 4,548 Positive Test Results 212 Deaths Monmouth County: 4,528 Positive Test Results 221 Deaths Morris County: 3,984 Positive Test Results 255 Deaths Somerset County: 2,283 Positive Test Results 146 Deaths Mercer County: 2,215 Positive Test Results 110 Deaths Camden County: 1,918 Positive Test Results 73 Deaths Burlington County: 1,456 Positive Test Results 57 Deaths Gloucester County: 683 Positive Test Results 23 Deaths https://www.nj.gov/health/cd/topics/covid2019_dashboard.shtml Sussex County: 626 Positive Test Results 55 Deaths Warren County: 543 Positive Test Results 39 Deaths Hunterdon County: 391 Positive Test Results 17 Deaths Atlantic County: 382 Positive Test Results 19 Deaths Cumberland County: 272 Positive Test Results 4 Deaths Cape May County: 199 Positive Test Results 14 Deaths Salem County: 105 Positive Test Results 4 Deaths https://www.nj.gov/health/cd/topics/covid2019_dashboard.shtml

23,580 Cases Reported* 1,267 Deaths Reported Reported COVID-19 Patients in Hospitals 1,761 347 of those on ventilators Tests Completed 6,249 by State Lab Commercial Tests Completed 131,750 and Reported to State** 64 of 64 Parishes with Reported Cases http://ldh.la.gov/coronavirus/

https://www.azdhs.gov/preparedness/epidemiology-disease-control/infectious-disease-epidemiology/index.php#novel-coronavirus-home

https://idph.iowa.gov/Emerging-Health-Issues/Novel-Coronavirus?utm_medium=email&utm_source=govdelivery

The number of PUI being tested does not reflect the level of risk to the public in the state. For more information about the outbreak, potential risks, and protective recommendations, visit the SD-DOH website or CDC website. This table shows the total number of positive COVID-19 cases in South Dakota residents, the total number of persons that tested negative, and the total number of PUIs that are pending results. https://doh.sd.gov/news/Coronavirus.aspx SOUTH DAKOTA CASE COUNTS Test Results # of Cases Positive* 1542 Negative** 10118 Pending*** 1 *Positive test results include testing conducted by the South Dakota Public Health Laboratory and private laboratories. **Negative test results include testing conducted by the South Dakota Public Health Laboratory and private laboratories. ***Tests currently pending at the South Dakota Public Health Lab. This number does not include pending results at private labs. If you have been tested and are waiting for results, contact your healthcare provider COVID-19 IN SOUTH DAKOTA Number of Cases 1542 Ever Hospitalized* 68 Deaths** 7 Recovered 552 *Cumulative persons who have been hospitalized to date. **The Department does not report deaths until a certified death record has been filed. By law, a death record must be filed within 5 days of the date of death. COVID-19 CASES by SD COUNTY OF RESIDENCE County Total Positive Cases Total Negative Cases Total Cases Recovered Aurora 1 32 1 Beadle 21 157 19 Bennett 0 10 0 Bon Homme 4 84 3 Brookings 9 260 9 Brown 18 384 10 Brule 0 35 0 Buffalo 0 7 0 Butte 0 12 0 Campbell 0 7 0 Charles Mix 4 60 3 Clark 1 44 1 Clay 5 96 4 Codington 13 356 11 Corson 1 6 1 Custer 0 13 0 Davison 3 235 3 Day 1 41 0 Deuel 1 54 1 Dewey 0 19 0 Douglas 0 21 0 Edmunds 0 18 0 Fall River 1 9 1 Faulk 1 13 1 Grant 0 30 0 Gregory 0 27 0 Haakon 0 10 0 Hamlin 2 47 1 Hand 0 18 0 Hanson 0 17 0 Harding 0 1 0 Hughes 5 194 4 Hutchinson 2 69 2 Hyde 1 7 0 Jackson 0 3 0 Jerauld 4 24 4 Jones 0 4 0 Kingsbury 0 53 0 Lake 3 83 2 Lawrence 9 55 9 Lincoln 86 957 41 Lyman 2 15 2 Marshall 1 33 1 McCook 3 73 2 McPherson 0 11 0 Meade 1 50 1 Mellette 0 9 0 Miner 1 14 0 Minnehaha 1276 4080 374 Moody 1 66 0 Oglala Lakota 1 21 1 Pennington 10 309 6 Perkins 0 0 0 Potter 0 26 0 Roberts 4 70 4 Sanborn 3 31 1 Spink 3 76 2 Stanley 0 29 0 Sully 1 11 0 Todd 1 32 1 Tripp 0 47 0 Turner 5 106 3 Union 5 98 3 Walworth 5 23 0 Yankton 23 342 20 Ziebach 0 3 0 Unassigned* 0 970 0 *Laboratories report COVID-19 testing results to SD-DOH and include patient address that they have received from the medical provider, if available. SD-DOH reports information that we receive from the laboratories, which includes unassigned counties. AGE GROUP OF SOUTH DAKOTA COVID-19 CASES Age Range # of Cases # of Deaths 0 to 19 years 88 0 20 to 29 years 294 0 30 to 39 years 368 0 40 to 49 years 318 0 50 to 59 years 279 2 60 to 69 years 146 2 70 to 79 years 25 1 80+ years 24 2 SEX OF SOUTH DAKOTA COVID-19 CASES Sex # of Cases # of Deaths Male 839 5 Female 703 2 COVID-19 DEATHS IN SOUTH DAKOTA BY COUNTY County of Residence # of Deaths Beadle 2 McCook 1 Minnehaha 3 Pennington 1 Data is updated daily by about 12 noon and includes cases reported through 5 p.m. the previous day. *Note: numbers are provisional & subject to change Last updated: 11:30 a.m.; April 18, 2020 BACK TO TOP COMMUNITY IMPACT MAP Everyone has a role to play to get ready, stay healthy, and protect yourself, your family, and your community from COVID-19. The goal is to slow the spread of COVID-19 to reduce illness and death, while minimizing disruptions to daily life. What does “community mitigation” mean? Any actions that individuals, schools, businesses, and health care facilities take to slow the spread of the infection. CDC has developed steps that can be taken based on the level of COVID-19 spread in the community. As more COVID-19 is spread in a community, additional preventive steps can be taken. Community spread is defined as three levels: None: COVID-19 cases may occur in the community, but there is NO community transmission. Minimal to Moderate: There is a single case of community-acquired COVID-19 in a county. Substantial: There are five or more cases of community-acquired COVID-19 in a county or a distinct group of cases in a single area (e.g., city or county). NOTE: this data is best viewed on a desktop or laptop computer.

CONFIRMED CASES 4,500 TOTAL TESTED 42,538 REPORTED DEATHS 154 https://alpublichealth.maps.arcgis.com/apps/opsdashboard/index.html#/6d2771faa9da4a2786a509d82c8cf0f7

COVID-19 Data for Pennsylvania* Negative Positive Deaths 122,896 31,069 836 * Map, tables and case counts last updated at 12:00 p.m. on 4/18/2020 Positive case counts include confirmed and probable cases. Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/18/2020 View hospital dataOpens In A New Window (desktop version) View hospital dataOpens In A New Window (mobile version) Positive Cases by Age Range to Date Age Range Percent of Cases* 0-4 < 1% 5-12 < 1% 13-18 1% 19-24 6% 25-49 39% 50-64 28% 65+ 24% * Percentages may not total 100% due to rounding Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/18/2020 Hospitalization Rates by Age Range to Date Age Range Percent of Cases 0-29 2% 30-49 5% 50-64 9% 65-79 20% 80+ 22% Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/18/2020 County Case Counts to Date County Positives Negatives Deaths Adams 74 1144 1 Allegheny 1009 10870 47 Armstrong 36 442 2 Beaver 278 1603 31 Bedford 14 88 1 Berks 1748 3691 40 Blair 13 605 Bradford 24 367 Bucks 1619 5291 75 Butler 160 1738 5 Cambria 17 445 1 Cameron 1 19 Carbon 136 744 8 Centre 73 588 1 Chester 796 3772 36 Clarion 18 370 1 Clearfield 9 314 Clinton 11 96 Columbia 184 146 4 Crawford 16 543 Cumberland 176 825 4 Dauphin 343 2284 9 Delaware 2317 6047 77 Elk 2 109 Erie 58 1271 Fayette 66 1311 3 Forest 7 21 Franklin 106 2073 Fulton 2 52 Greene 24 317 Huntingdon 12 177 Indiana 47 410 4 Jefferson 2 240 Juniata 66 62 Lackawanna 620 1466 35 Lancaster 1113 5476 36 Lawrence 60 513 5 Lebanon 458 1864 4 Lehigh 2141 5561 29 Luzerne 1712 3113 32 Lycoming 36 723 McKean 4 122 Mercer 57 428 1 Mifflin 19 516 Monroe 943 1997 34 Montgomery 2781 11567 106 Montour 49 2917 Northampton 1396 4682 29 Northumberland 67 247 Perry 20 109 1 Philadelphia 8502 19417 136 Pike 295 923 8 Potter 4 50 Schuylkill 254 1411 5 Snyder 27 119 1 Somerset 17 289 Sullivan 1 20 Susquehanna 59 156 1 Tioga 14 166 1 Union 27 401 Venango 6 183 Warren 1 130 Washington 79 1492 2 Wayne 84 360 2 Westmoreland 280 3269 13 Wyoming 16 70 1 York 463 5064 4 Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/18/2020 View as a clickable county mapOpens In A New Window Incidence by County Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/18/2020 Incidence is calculated by dividing the current number of confirmed and probable COVID-19 cases reported to the Department by the 2018 county population data available from the Bureau of Health Statistics. The counties are divided into 6 relatively equally-sized groups based on their incidence rate (i.e. sestiles). Cases are determined using a national COVID-19 case definition. There currently is no way to estimate the true number of infected persons. Incidence rates are based on the number of known cases, not the number of true infected persons. Case Counts and Deaths by Sex to Date Sex Positive Cases Percent of Cases* Deaths Female 16455 53% 367 Male 14143 46% 464 Neither 1 0 0 Not reported 470 2% 5 * Percentages may not total 100% due to rounding Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/18/2020 Case Counts and Deaths by Race to Date* Race Positive Cases Percent of Cases** Deaths African American/Black 2670 9% 100 Asian 269 1% 12 White 5275 17% 307 Other 97 <1% 1 Not reported 22758 73% 416 * 75% of race is not reported. Little data is available on ethnicity. ** Percentages may not total 100% due to rounding Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/18/2020 Case Counts by Region to Date Region Positive Negative Inconclusive Northcentral 499 5840 7 Northeast 7375 19072 48 Northwest 224 4263 3 Southcentral 1738 14863 27 Southeast 18981 56672 366 Southwest 1975 22186 16 Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/18/2020 EpiCurve by Region Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/18/2020 Case counts are displayed by the date that the cases were first reported to the PA-NEDSS surveillance system. Case counts by date of report can vary significantly from day to day for a variety of reasons. In addition to changes due to actual changes in disease incidence, trends are strongly influenced by testing patterns (who gets tested and why), testing availability, lab analysis backlogs, lab reporting delays, new labs joining our electronic laboratory reporting system, mass screenings, etc. Trends need to be sustained for at least 2-3 weeks before any conclusions can be made regarding the progress of the pandemic. COVID-19 Cases Associated with Nursing Homes and Personal Care Homes to Date Facility County Number of Facilities Number of Cases Among Residents Number of Cases Among Employees Number of Deaths Adams 1 3 1 1 Allegheny 27 159 48 34 Beaver 3 166 10 26 Berks 13 291 46 18 Bucks 37 255 48 42 Butler 3 10 9 2 Carbon 2 29 1 7 Chester 17 141 19 27 Clarion 1 1 0 0 Clearfield 1 1 0 0 Columbia 1 13 2 0 Cumberland 3 58 6 2 Dauphin 3 45 2 3 Delaware 37 397 41 54 Erie 2 2 0 0 Fayette 1 3 0 1 Indiana 2 11 0 4 Lackawanna 9 220 18 20 Lancaster 18 238 53 25 Lebanon 1 8 1 0 Lehigh 14 140 28 12 Luzerne 12 155 15 24 Lycoming 1 0 1 0 Mercer 1 1 0 0 Monroe 7 65 18 15 Montgomery 58 695 20 77 Northampton 11 200 46 12 Perry 1 2 0 0 Philadelphia 46 735 3 36 Pike 1 17 1 1 Schuylkill 1 1 0 0 Susquehanna 3 36 3 1 Washington 3 4 1 1 Westmoreland 4 80 20 14 York 2 3 1 0 Pennsylvania 347 4185 462 459 Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/18/2020 https://www.health.pa.gov/topics/disease/coronavirus/Pages/Cases.aspx

Number of Confirmed Cases: 12,308 Number of negative test results: 53,062 Number of Deaths: 463 Number of Probable Deaths: 71 Hospitalizations: 2,757 ever hospitalized Released From Isolation: 771 Cases and Deaths Data Breakdown Note: Parenthesis = Number of confirmed deaths Asterisk = Number of probable deaths NH = Non-Hispanic By County County Cases Deaths Allegany 33 (1) Anne Arundel 1,005 (34) 7* Baltimore City 1,378 (40) 3* Baltimore County 1,664 (38) 7* Calvert 109 (2) Caroline 33 Carroll 308 (26) 2* Cecil 131 (3) Charles 347 (16) Dorchester 20 (1) Frederick 557 (23) 8* Garrett 4 Harford 195 5* Howard 508 (10) 2* Kent 16 (1) Montgomery 2,404 (70) 16* Prince George's 3,160 (85) 10* Queen Anne's 24 (2) St. Mary's 101 (1) Somerset 10 Talbot 16 (1) Washington 116 (3) Wicomico 138 (1) Worcester 31 Data Not Available (105) 11* By Age Range and Gender Age/Gender Cases Deaths 0-9 89 10-19 254 20-29 1,311 (2) 30-39 2,010 (8) 40-49 2,215 (9) 50-59 2,399 (24) 4* 60-69 1,831 (72) 12* 70-79 1,253 (93) 11* 80+ 946 (153) 33* Age Data Not Available (102) 11* Female: 6,652 (218) 37* Male: 5,656 (244) 34* Gender Data Not Available: (1) By Race and Ethnicity Race/Ethnicity Cases Deaths African-American (NH) 4,557 (183) 18* Asian (NH) 266 (15) 1* White (NH) 2,869 (148) 40* Hispanic 1,489 (20) Other (NH) 458 (14) 1* Data Not Available 2,669 (83) 11* https://coronavirus.maryland.gov/

DC COVID-19 Data for April 17, 2020 Total Tested Overall: 13,268 Total Positives: 2,666 Total Lives Lost: 91 Total Recovered: 608 Download copy of DC COVID-19 data Other Data Public Safety Agency Data Human Services Agency Data Hospital Status Data https://coronavirus.dc.gov/page/coronavirus-data

Total 17432 (100%) Hospitalized 3395 (19.48%) Deaths 668 (3.83%) COVID-19 Confirmed Cases By County: No. Cases No. Deaths Fulton 2037 74 Dougherty 1385 91 Dekalb 1366 23 Cobb 1085 51 Gwinnett 1037 36 Hall 605 6 Clayton 499 16 Henry 350 7 Sumter 306 14 Cherokee 274 8 Lee 269 15 Carroll 261 8 Richmond 246 10 Bartow 245 22 Douglas 222 6 Muscogee 210 4 Mitchell 209 23 Bibb 191 1 Forsyth 185 6 Chatham 174 5 Houston 164 10 Upson 164 8 Early 163 8 Coweta 153 3 Terrell 142 14 Randolph 140 12 Fayette 134 5 Paulding 132 5 Spalding 124 7 Floyd 121 8 Newton 121 3 Rockdale 117 6 Worth 116 4 Thomas 115 13 Crisp 113 2 Baldwin 112 2 Colquitt 108 5 Clarke 106 13 Columbia 91 1 Barrow 85 3 Lowndes 83 3 Tift 80 3 Troup 80 4 Ware 77 5 Coffee 74 3 Habersham 72 2 Dooly 69 4 Walton 58 3 Calhoun 57 2 Decatur 55 0 Gordon 55 5 Turner 51 2 Pierce 49 2 Oconee 48 0 Glynn 46 0 Jackson 46 1 Macon 46 0 Dawson 42 1 Whitfield 41 3 Butts 40 0 Greene 40 1 Meriwether 40 0 Laurens 39 1 Burke 38 2 Wilcox 38 0 Harris 36 2 Mcduffie 35 2 Johnson 33 1 Liberty 32 0 Oglethorpe 32 2 Peach 32 2 Bryan 31 2 Stephens 30 1 Pike 29 1 Polk 29 0 Camden 27 0 Grady 27 1 Bulloch 26 1 Marion 26 1 Effingham 25 1 Washington 24 1 Brooks 23 5 Lamar 22 0 Lumpkin 22 0 Haralson 20 1 Miller 20 0 Seminole 20 2 White 20 0 Wilkinson 20 1 Catoosa 19 0 Clay 19 2 Dodge 19 0 Morgan 19 0 Toombs 19 2 Appling 18 0 Murray 18 0 Bacon 17 1 Brantley 17 2 Putnam 17 1 Baker 16 2 Jones 16 0 Pickens 16 2 Pulaski 16 1 Talbot 16 1 Fannin 15 0 Irwin 15 0 Monroe 15 1 Schley 15 1 Stewart 15 0 Jasper 14 0 Madison 14 1 Telfair 14 0 Banks 13 0 Ben Hill 13 0 Crawford 13 0 Walker 13 0 Cook 12 1 Emanuel 12 0 Jenkins 12 1 Jefferson 11 1 Screven 11 1 Wilkes 11 0 Berrien 10 0 Franklin 10 0 Gilmer 10 0 Taylor 10 2 Towns 10 0 Union 10 1 Warren 10 0 Chattooga 9 1 Lincoln 9 0 Dade 8 1 Clinch 7 0 Elbert 7 0 Rabun 7 0 Wayne 7 0 Bleckley 6 0 Chattahoochee 6 0 Hancock 6 0 Lanier 6 1 Atkinson 5 0 Charlton 5 0 Hart 5 0 Heard 5 1 Jeff Davis 5 0 Tattnall 5 0 Webster 5 0 Candler 4 0 Echols 4 0 Mcintosh 4 0 Twiggs 4 0 Quitman 3 1 Wheeler 3 0 Evans 2 0 Long 2 0 Montgomery 2 0 Treutlen 1 0 Unknown 264 0 Non-Georgia Resident 774 7 *Based on patient county of residence when known COVID-19 Testing By Lab Type: No. Pos. Tests Total Tests Commercial Lab 16497 67077 Gphl 935 4616 Confirmed cases of COVID-19 by date of earliest known sign of illness. Please note that these data represent our most current understanding of the cases at the time of report. The most recent days of these trend data are impacted by a reporting lag that varies based on how the case is reported to public health and are subject to change. Cumulative confirmed cases of COVID-19 by date of earliest known sign of illness. Please note that these data represent our most current understanding of the cases at the time of report. The most recent days of these trend data are impacted by a reporting lag that varies based on how the case is reported to public health and are subject to change. Confirmed deaths of COVID-19 cases by date of death. Please note that these data represent our most current understanding of case deaths at the time of report. The most recent days of these trend data are impacted by a reporting lag that varies based on how the case is reported to public health and are subject to change. Cumulative confirmed deaths of COVID-19 cases by date of death. Please note that these data represent our most current understanding of case deaths at the time of report. The most recent days of these trend data are impacted by a reporting lag that varies based on how the case is reported to public health and are subject to change. COVID-19 Cases in Georgia by Race and Ethnicity Race Ethnicity Cases Deaths Black Or African American Hispanic/Latino 121 2 Black Or African American Non-Hispanic/Latino 3780 331 Black Or African American Unknown 808 16 White Hispanic/Latino 328 13 White Non-Hispanic/Latino 2672 232 White Unknown 475 10 American Indian/Native American Hispanic/Latino 1 0 American Indian/Native American Non-Hispanic/Latino 14 1 American Indian/Native American Unknown 1 0 Asian Hispanic/Latino 0 0 Asian Non-Hispanic/Latino 137 8 Asian Unknown 32 0 Native Hawaiian/Pacific Islander Hispanic/Latino 3 0 Native Hawaiian/Pacific Islander Non-Hispanic/Latino 7 1 Native Hawaiian/Pacific Islander Unknown 2 0 Other Hispanic/Latino 210 7 Other Non-Hispanic/Latino 55 1 Other Unknown 45 3 Unknown Hispanic/Latino 165 0 Unknown Non-Hispanic/Latino 339 7 Unknown Unknown 8237 36 COVID-19 Deaths in Georgia Age Gender County Underlying 71 MALE BACON Yes 95 MALE BAKER Yes 65 FEMALE BAKER Unk 57 MALE BALDWIN Yes 53 MALE BALDWIN Yes 64 MALE BARROW Yes 91 FEMALE BARROW Yes 66 MALE BARROW Yes 93 MALE BARTOW Yes 88 MALE BARTOW Yes 85 MALE BARTOW Yes 90 FEMALE BARTOW Yes 85 FEMALE BARTOW Yes 90 MALE BARTOW Yes 88 MALE BARTOW Yes 77 FEMALE BARTOW Yes 78 MALE BARTOW Yes 90 MALE BARTOW Yes 69 MALE BARTOW Yes 66 MALE BARTOW Yes 72 MALE BARTOW Yes 56 MALE BARTOW Yes 81 MALE BARTOW Yes 78 FEMALE BARTOW Yes 65 MALE BARTOW Yes 92 FEMALE BARTOW Yes 79 MALE BARTOW Yes 87 FEMALE BARTOW Yes 84 MALE BARTOW Yes 71 FEMALE BARTOW Yes 96 FEMALE BIBB Yes 79 FEMALE BRANTLEY Unk 79 FEMALE BRANTLEY Yes 87 MALE BROOKS Yes 88 FEMALE BROOKS Unk 73 MALE BROOKS Yes 92 FEMALE BROOKS Unk 87 MALE BROOKS Unk 70 FEMALE BRYAN Yes 63 MALE BRYAN Yes 65 MALE BULLOCH Unk 83 MALE BURKE Yes 67 FEMALE BURKE Unk 61 FEMALE CALHOUN Yes 59 FEMALE CALHOUN Yes 73 MALE CARROLL Yes 64 MALE CARROLL Yes 86 MALE CARROLL Unk 86 MALE CARROLL Unk 79 FEMALE CARROLL Unk 71 FEMALE CARROLL Unk 80 MALE CARROLL Unk 87 FEMALE CARROLL Unk 83 MALE CHATHAM Yes 84 FEMALE CHATHAM Yes 37 MALE CHATHAM Yes 57 MALE CHATHAM Yes 80 FEMALE CHATHAM Yes 82 MALE CHATTOOGA Yes 78 FEMALE CHEROKEE Yes 67 FEMALE CHEROKEE Yes 73 MALE CHEROKEE Yes 94 FEMALE CHEROKEE Yes 78 FEMALE CHEROKEE Yes 81 MALE CHEROKEE Yes 90 MALE CHEROKEE Yes 96 MALE CHEROKEE Yes 60 MALE CLARKE Yes 90 MALE CLARKE Unk 68 MALE CLARKE Unk 78 FEMALE CLARKE Unk 79 MALE CLARKE Yes 76 MALE CLARKE Unk 79 MALE CLARKE Yes 85 MALE CLARKE Unk 65 FEMALE CLARKE Unk 89 FEMALE CLARKE No 78 FEMALE CLARKE Yes 72 MALE CLARKE Yes 98 MALE CLARKE Yes 65 MALE CLAY Unk 81 MALE CLAY Yes 83 FEMALE CLAYTON Yes 54 MALE CLAYTON Yes 82 MALE CLAYTON Yes 51 FEMALE CLAYTON No 82 MALE CLAYTON Yes 70 FEMALE CLAYTON Unk 47 MALE CLAYTON Yes 50 MALE CLAYTON Yes 57 FEMALE CLAYTON Unk 56 MALE CLAYTON Yes 49 FEMALE CLAYTON Unk 67 MALE CLAYTON Unk 89 MALE CLAYTON Unk 64 MALE CLAYTON Unk 39 CLAYTON Unk 71 FEMALE CLAYTON Unk 29 MALE COBB No 67 MALE COBB No 50 MALE COBB Yes 83 MALE COBB Unk 75 FEMALE COBB Yes 81 FEMALE COBB Yes 87 FEMALE COBB Yes 57 MALE COBB Yes 85 MALE COBB Yes 54 FEMALE COBB Yes 77 MALE COBB Yes 89 FEMALE COBB Yes 78 MALE COBB Yes 70 FEMALE COBB Yes 71 MALE COBB Yes 68 MALE COBB Yes 82 MALE COBB Yes 75 FEMALE COBB Yes 76 MALE COBB Yes 97 MALE COBB No 87 MALE COBB Yes 94 MALE COBB Unk 77 MALE COBB Yes 56 MALE COBB No 85 FEMALE COBB Yes 33 FEMALE COBB Yes 87 FEMALE COBB Yes 67 FEMALE COBB Yes 67 MALE COBB Yes 63 FEMALE COBB Yes 82 MALE COBB Yes 33 MALE COBB Yes 71 MALE COBB Yes 75 MALE COBB Yes 66 MALE COBB Yes 82 FEMALE COBB No 93 MALE COBB Yes 78 MALE COBB Yes 36 MALE COBB Yes 86 MALE COBB Unk 65 MALE COBB Yes 73 MALE COBB Yes 71 MALE COBB Yes 76 MALE COBB Yes 75 MALE COBB Yes 51 MALE COBB Yes 77 MALE COBB Unk 66 MALE COBB Yes 75 FEMALE COBB Yes 78 FEMALE COBB Unk 80 MALE COBB Yes 66 MALE COFFEE Unk 64 MALE COFFEE Yes 55 FEMALE COFFEE Yes 76 FEMALE COLQUITT Unk 53 MALE COLQUITT Yes 81 MALE COLQUITT Unk 83 FEMALE COLQUITT Unk 51 MALE COLQUITT Unk 50 FEMALE COLUMBIA No 77 FEMALE COOK Yes 58 FEMALE COWETA Unk 77 MALE COWETA Yes 42 FEMALE COWETA Yes 71 MALE CRISP Unk 75 FEMALE CRISP Unk 79 FEMALE DADE Yes 80 MALE DAWSON Unk 99 FEMALE DEKALB No 56 MALE DEKALB Unk 68 MALE DEKALB Unk 83 MALE DEKALB Yes 69 MALE DEKALB Yes 65 FEMALE DEKALB Yes 81 MALE DEKALB Yes 89 FEMALE DEKALB Yes 98 MALE DEKALB Yes 46 FEMALE DEKALB Yes 84 FEMALE DEKALB Unk 74 MALE DEKALB Yes 66 MALE DEKALB Yes 62 FEMALE DEKALB Unk 70 MALE DEKALB Yes 81 MALE DEKALB Yes 91 FEMALE DEKALB Yes 31 MALE DEKALB Yes 88 FEMALE DEKALB Yes 75 MALE DEKALB Yes 91 MALE DEKALB Yes 66 MALE DEKALB Yes 96 FEMALE DEKALB Yes 67 MALE DOOLY No 54 FEMALE DOOLY Unk 65 MALE DOOLY Yes 68 MALE DOOLY Unk 66 FEMALE DOUGHERTY Yes 87 FEMALE DOUGHERTY Yes 63 FEMALE DOUGHERTY Yes 90 FEMALE DOUGHERTY Yes 82 FEMALE DOUGHERTY Yes 79 MALE DOUGHERTY Yes 70 MALE DOUGHERTY Yes 79 FEMALE DOUGHERTY Unk 81 FEMALE DOUGHERTY Yes 65 MALE DOUGHERTY Yes 46 MALE DOUGHERTY Yes 66 FEMALE DOUGHERTY Yes 85 FEMALE DOUGHERTY Yes 70 MALE DOUGHERTY Unk 75 FEMALE DOUGHERTY Yes 71 MALE DOUGHERTY Unk 71 MALE DOUGHERTY Yes 85 MALE DOUGHERTY Yes 64 FEMALE DOUGHERTY Yes 48 MALE DOUGHERTY Yes 86 MALE DOUGHERTY Unk 84 MALE DOUGHERTY Yes 81 FEMALE DOUGHERTY Unk 62 MALE DOUGHERTY Yes 85 FEMALE DOUGHERTY Yes 58 MALE DOUGHERTY Yes 61 FEMALE DOUGHERTY Yes 64 MALE DOUGHERTY Yes 54 MALE DOUGHERTY Unk 91 MALE DOUGHERTY Yes 78 MALE DOUGHERTY Unk 87 FEMALE DOUGHERTY Yes 83 FEMALE DOUGHERTY Yes 54 MALE DOUGHERTY Unk 65 MALE DOUGHERTY Yes 85 FEMALE DOUGHERTY Unk 96 MALE DOUGHERTY Unk 55 FEMALE DOUGHERTY Unk 86 FEMALE DOUGHERTY Unk 38 MALE DOUGHERTY Yes 91 FEMALE DOUGHERTY Unk 84 MALE DOUGHERTY Unk 62 MALE DOUGHERTY Yes 90 FEMALE DOUGHERTY Unk 71 MALE DOUGHERTY Unk 66 MALE DOUGHERTY Yes 66 FEMALE DOUGHERTY Yes 84 MALE DOUGHERTY Unk 68 FEMALE DOUGHERTY Yes 89 FEMALE DOUGHERTY Unk 61 MALE DOUGHERTY Unk FEMALE DOUGHERTY Unk 85 FEMALE DOUGHERTY Unk 67 FEMALE DOUGHERTY Yes 42 FEMALE DOUGHERTY Yes 66 FEMALE DOUGHERTY Yes 78 MALE DOUGHERTY Yes 47 FEMALE DOUGHERTY Yes 43 FEMALE DOUGHERTY Yes 79 MALE DOUGHERTY Yes 34 MALE DOUGHERTY Yes 69 FEMALE DOUGHERTY Yes 61 FEMALE DOUGHERTY Yes 63 FEMALE DOUGHERTY Yes 61 MALE DOUGHERTY Yes 48 FEMALE DOUGHERTY Yes 75 MALE DOUGHERTY Yes 86 FEMALE DOUGHERTY Unk 65 MALE DOUGHERTY Yes 45 FEMALE DOUGHERTY Yes 82 FEMALE DOUGHERTY Yes 69 MALE DOUGHERTY Yes 63 MALE DOUGHERTY Yes 70 MALE DOUGHERTY Yes 60 FEMALE DOUGHERTY Yes 87 FEMALE DOUGHERTY Unk 85 FEMALE DOUGHERTY Unk 98 FEMALE DOUGHERTY Unk 53 FEMALE DOUGHERTY Yes 68 MALE DOUGHERTY Unk 65 FEMALE DOUGHERTY Yes 71 MALE DOUGHERTY Yes 92 FEMALE DOUGHERTY Yes 92 FEMALE DOUGHERTY Unk 79 FEMALE DOUGHERTY Unk 75 MALE DOUGHERTY Yes 81 FEMALE DOUGHERTY Yes 97 FEMALE DOUGHERTY Unk 76 FEMALE DOUGHERTY Yes 74 MALE DOUGHERTY Unk 85 FEMALE DOUGHERTY Yes 56 MALE DOUGLAS Yes 32 MALE DOUGLAS Yes 66 MALE DOUGLAS No 84 MALE DOUGLAS Yes 78 MALE DOUGLAS Yes 58 FEMALE DOUGLAS Yes 54 MALE EARLY Unk 63 FEMALE EARLY Unk 58 MALE EARLY Unk 65 MALE EARLY Yes 92 FEMALE EARLY Unk 80 FEMALE EARLY Unk 79 MALE EARLY Unk 48 FEMALE EARLY Yes 56 MALE EFFINGHAM Yes 77 FEMALE FAYETTE Yes 79 MALE FAYETTE Yes 73 MALE FAYETTE Yes 85 FEMALE FAYETTE Unk 83 MALE FAYETTE Yes 62 MALE FLOYD Yes 80 MALE FLOYD Yes 70 MALE FLOYD Yes 73 FEMALE FLOYD Yes 75 MALE FLOYD Yes 66 FEMALE FLOYD Yes 75 FEMALE FLOYD Yes 65 FEMALE FLOYD Yes 85 MALE FORSYTH Unk 59 MALE FORSYTH Unk 60 MALE FORSYTH Unk 69 FEMALE FORSYTH Unk 87 MALE FORSYTH Unk 81 FEMALE FORSYTH Unk 85 FEMALE FULTON Unk 95 FEMALE FULTON Yes 94 FEMALE FULTON Yes 78 MALE FULTON Yes 70 FEMALE FULTON Yes 63 MALE FULTON Yes 59 MALE FULTON Yes 64 MALE FULTON Yes 50 FEMALE FULTON No 89 FEMALE FULTON Yes 53 MALE FULTON Unk 80 MALE FULTON Yes 92 FEMALE FULTON Yes 87 MALE FULTON Yes 85 MALE FULTON Yes 31 MALE FULTON No 80 FEMALE FULTON Yes 53 MALE FULTON Yes 97 FEMALE FULTON Yes 73 MALE FULTON Yes 88 MALE FULTON Yes 88 FEMALE FULTON Yes 78 MALE FULTON Unk 62 MALE FULTON Yes 78 MALE FULTON Unk 86 FEMALE FULTON Yes 82 MALE FULTON Yes 73 MALE FULTON Unk 77 FEMALE FULTON Yes 73 FEMALE FULTON Yes 75 MALE FULTON Yes 78 MALE FULTON Yes 85 MALE FULTON Unk 78 FEMALE FULTON Unk 62 MALE FULTON Yes 68 FEMALE FULTON Yes 67 MALE FULTON Yes 64 MALE FULTON Yes 90 FEMALE FULTON Yes 78 FEMALE FULTON Unk 70 FEMALE FULTON Yes 66 FEMALE FULTON Unk 67 MALE FULTON Yes 33 MALE FULTON Yes 70 FEMALE FULTON Yes 69 MALE FULTON Yes 68 MALE FULTON Yes 58 MALE FULTON Yes 75 FEMALE FULTON Yes 85 MALE FULTON Yes 84 FEMALE FULTON No 78 MALE FULTON Yes 80 FEMALE FULTON Yes 60 MALE FULTON Yes 66 FEMALE FULTON Yes 89 MALE FULTON Yes 77 MALE FULTON Yes 87 FEMALE FULTON Yes 90 FEMALE FULTON Unk 87 FEMALE FULTON Yes 96 MALE FULTON Yes 96 FEMALE FULTON Yes 96 FEMALE FULTON Unk 100 FEMALE FULTON Yes 76 FEMALE FULTON Yes 87 FEMALE FULTON Yes 84 MALE FULTON Yes 36 FEMALE FULTON Yes 73 MALE FULTON Yes 82 FEMALE FULTON Yes 89 MALE FULTON Yes 66 MALE FULTON No 93 FEMALE FULTON Unk 91 MALE FULTON Yes 70 FEMALE GORDON Yes 93 FEMALE GORDON Unk 78 MALE GORDON Yes 63 MALE GORDON Yes 69 MALE GORDON Yes 57 FEMALE GRADY Unk 100 FEMALE GREENE Unk 69 FEMALE GWINNETT Yes 81 MALE GWINNETT No 85 FEMALE GWINNETT Yes 80 MALE GWINNETT Yes 72 FEMALE GWINNETT Yes 89 MALE GWINNETT Unk 89 FEMALE GWINNETT Unk 73 FEMALE GWINNETT Yes 89 FEMALE GWINNETT Yes 75 FEMALE GWINNETT Yes 81 MALE GWINNETT Yes 96 FEMALE GWINNETT Yes 66 MALE GWINNETT Yes 44 MALE GWINNETT Yes 86 FEMALE GWINNETT Yes 63 MALE GWINNETT Yes 74 FEMALE GWINNETT Yes 66 FEMALE GWINNETT Yes 87 MALE GWINNETT Yes 82 FEMALE GWINNETT Yes 87 FEMALE GWINNETT Yes 68 FEMALE GWINNETT Unk 94 MALE GWINNETT Yes 78 MALE GWINNETT Yes 90 MALE GWINNETT Unk 70 MALE GWINNETT Yes 81 FEMALE GWINNETT Unk 81 MALE GWINNETT Unk 85 MALE GWINNETT Yes 63 FEMALE GWINNETT Yes 81 MALE GWINNETT Yes 61 MALE GWINNETT Yes 74 FEMALE GWINNETT Yes 81 FEMALE GWINNETT Yes 82 MALE GWINNETT Yes 73 MALE GWINNETT Unk 40 FEMALE HABERSHAM Yes 79 FEMALE HABERSHAM Yes 73 MALE HALL Yes 72 MALE HALL Yes 45 MALE HALL Yes 75 MALE HALL Unk 89 FEMALE HALL Yes 76 MALE HALL Yes 72 FEMALE HARALSON Yes 92 FEMALE HARRIS Yes 69 FEMALE HARRIS Unk 76 FEMALE HEARD Yes 68 MALE HENRY Unk 55 MALE HENRY Yes 73 MALE HENRY Yes 36 MALE HENRY Yes 80 MALE HENRY Yes 63 FEMALE HENRY Unk 79 FEMALE HENRY Unk 85 MALE HOUSTON Unk 64 MALE HOUSTON Yes 75 MALE HOUSTON Yes 75 FEMALE HOUSTON Yes 90 MALE HOUSTON Yes 74 FEMALE HOUSTON Yes 84 MALE HOUSTON Yes 64 MALE HOUSTON Yes 71 FEMALE HOUSTON Yes 78 MALE HOUSTON Yes 53 FEMALE JACKSON Unk 50 FEMALE JEFFERSON Yes 93 MALE JENKINS Yes 67 MALE JOHNSON Unk 75 FEMALE LANIER Yes 83 MALE LAURENS Yes 58 MALE LEE Yes 63 MALE LEE Yes 64 MALE LEE Yes 49 MALE LEE Yes 64 FEMALE LEE Yes 55 FEMALE LEE Yes 70 MALE LEE No 63 MALE LEE Yes 81 MALE LEE Unk 81 FEMALE LEE Yes 54 MALE LEE Yes 27 FEMALE LEE No 34 FEMALE LEE Unk 57 MALE LEE Unk 49 FEMALE LEE Yes 87 FEMALE LOWNDES Yes 90 FEMALE LOWNDES Unk 66 MALE LOWNDES Yes 71 MALE MADISON Yes 81 FEMALE MARION Yes 73 FEMALE MCDUFFIE Yes 45 MALE MCDUFFIE Unk 72 MALE MITCHELL Unk 65 MALE MITCHELL Yes 47 MALE MITCHELL Unk 85 FEMALE MITCHELL Yes 89 FEMALE MITCHELL Yes 79 MALE MITCHELL Yes 89 FEMALE MITCHELL Yes 56 FEMALE MITCHELL Yes 88 FEMALE MITCHELL Yes 55 FEMALE MITCHELL No 59 FEMALE MITCHELL Yes 72 MALE MITCHELL Yes 81 MALE MITCHELL Yes 48 MALE MITCHELL Unk 55 FEMALE MITCHELL Unk 93 FEMALE MITCHELL Unk 84 FEMALE MITCHELL Yes 73 MALE MITCHELL Unk 61 FEMALE MITCHELL Unk 68 MALE MITCHELL Unk 90 FEMALE MITCHELL Unk 97 FEMALE MITCHELL Yes 54 MALE MITCHELL Unk 77 MALE MONROE Yes 85 MALE MUSCOGEE Unk 22 FEMALE MUSCOGEE Yes 73 MALE MUSCOGEE Yes 65 FEMALE MUSCOGEE Unk 61 MALE NEWTON Yes 77 MALE NEWTON Yes 85 MALE NEWTON Yes 85 UNKNOWN OGLETHORPE Unk 83 MALE OGLETHORPE Unk 74 MALE PAULDING Yes 64 FEMALE PAULDING Yes 87 FEMALE PAULDING Yes 85 MALE PAULDING Yes 73 MALE PAULDING Yes 29 FEMALE PEACH Unk 57 FEMALE PEACH Yes 70 MALE PICKENS Yes 76 FEMALE PICKENS Yes 83 MALE PIERCE Unk 67 FEMALE PIERCE Unk 46 MALE PIKE Yes 63 MALE PULASKI Yes FEMALE PUTNAM Unk 61 MALE QUITMAN Yes 100 FEMALE RANDOLPH Unk 78 FEMALE RANDOLPH Unk 91 MALE RANDOLPH Unk 83 FEMALE RANDOLPH Unk 65 FEMALE RANDOLPH Unk 69 MALE RANDOLPH Yes 62 FEMALE RANDOLPH Unk 85 MALE RANDOLPH Unk 66 FEMALE RANDOLPH Yes 66 MALE RANDOLPH Unk 92 FEMALE RANDOLPH Unk 78 FEMALE RANDOLPH Yes 82 FEMALE RICHMOND Yes 90 FEMALE RICHMOND Unk 81 FEMALE RICHMOND Unk 33 FEMALE RICHMOND Yes 84 FEMALE RICHMOND Unk 67 FEMALE RICHMOND Yes 84 MALE RICHMOND Yes 72 FEMALE RICHMOND Yes 62 MALE RICHMOND Yes 70 FEMALE RICHMOND Yes 77 FEMALE ROCKDALE No 63 MALE ROCKDALE Yes 73 MALE ROCKDALE Yes 57 FEMALE ROCKDALE Yes 44 FEMALE ROCKDALE Yes 40 FEMALE ROCKDALE Yes 61 MALE SCHLEY Unk 67 FEMALE SCREVEN Yes 89 FEMALE SEMINOLE Unk 69 FEMALE SEMINOLE Unk 81 FEMALE SPALDING Unk 73 MALE SPALDING Yes 96 FEMALE SPALDING Unk 85 MALE SPALDING Yes 33 MALE SPALDING Yes 52 MALE SPALDING Unk 50 MALE SPALDING Unk 87 MALE STEPHENS Yes 88 MALE SUMTER Yes 63 MALE SUMTER Yes 87 FEMALE SUMTER Yes 45 MALE SUMTER Unk 63 MALE SUMTER Yes 65 MALE SUMTER Yes 66 MALE SUMTER Unk 68 MALE SUMTER Unk 71 FEMALE SUMTER Yes 72 MALE SUMTER Yes 73 MALE SUMTER Yes 63 MALE SUMTER Yes 68 FEMALE SUMTER Unk 85 MALE SUMTER Unk 74 MALE TALBOT Unk 60 FEMALE TAYLOR Yes 83 FEMALE TAYLOR Yes 81 MALE TERRELL Yes 79 FEMALE TERRELL Yes 78 MALE TERRELL Yes 77 MALE TERRELL Unk 58 MALE TERRELL Yes 68 FEMALE TERRELL Yes 82 MALE TERRELL Unk 77 MALE TERRELL Yes 97 FEMALE TERRELL Unk 88 FEMALE TERRELL Unk 73 FEMALE TERRELL Yes 79 MALE TERRELL Unk 75 MALE TERRELL Yes 60 MALE TERRELL Unk 77 FEMALE THOMAS Yes 82 MALE THOMAS Yes 95 FEMALE THOMAS Unk 59 MALE THOMAS Yes 87 FEMALE THOMAS Yes 73 MALE THOMAS Unk 84 FEMALE THOMAS Yes 82 MALE THOMAS Yes 75 MALE THOMAS Yes 89 FEMALE THOMAS Unk 77 FEMALE THOMAS Unk 84 FEMALE THOMAS Yes 90 MALE THOMAS Yes 91 MALE TIFT Yes 62 FEMALE TIFT Yes 80 MALE TIFT No 69 MALE TOOMBS Yes 77 MALE TOOMBS Yes 37 FEMALE TROUP Yes 61 FEMALE TROUP Yes 66 FEMALE TROUP Yes 82 FEMALE TROUP Yes 83 MALE TURNER Yes 75 FEMALE TURNER Yes 79 MALE UNION Yes 61 MALE UPSON Unk 70 FEMALE UPSON Unk 81 FEMALE UPSON Unk 82 MALE UPSON Unk 89 MALE UPSON No 74 MALE UPSON Yes 75 MALE UPSON Unk 62 MALE UPSON Yes 87 MALE WALTON Yes 74 MALE WALTON Unk 75 MALE WALTON Unk 75 MALE WARE Yes 44 MALE WARE Yes 82 FEMALE WARE Unk 62 FEMALE WARE Yes 71 MALE WARE Unk 66 MALE WASHINGTON Yes 81 MALE WHITFIELD Yes 93 MALE WHITFIELD Yes 78 MALE WHITFIELD Yes 63 MALE WILKINSON Yes 77 MALE WORTH Yes 48 MALE WORTH Yes 60 MALE WORTH Yes 75 MALE WORTH Yes 92 FEMALE NON-GEORGIA RESIDENT Yes 84 FEMALE NON-GEORGIA RESIDENT Unk 68 FEMALE NON-GEORGIA RESIDENT Unk FEMALE NON-GEORGIA RESIDENT Unk 79 FEMALE NON-GEORGIA RESIDENT Unk 82 MALE NON-GEORGIA RESIDENT Yes 53 MALE NON-GEORGIA RESIDENT Unk https://dph.georgia.gov/covid-19-daily-status-report

Apr 17 http://mediaarchives.gsradio.net/rense/special/rense_041720_hr3.mp3

By LOS ANGELES TIMES STAFF UPDATED APRIL 17, 9:05 P.M. PACIFIC 29,425 confirmed cases +1,269 on Friday 1,057 deaths +84 on Friday The coronavirus pandemic has spread rapidly across California. Experts say the true number of people infected is unknown and likely much higher than official tallies. To better understand the spread of the virus, The Times is conducting an independent, continual survey of dozens of local health agencies across the state. What we know Tallies continue to climb. Over the past week, the state has averaged 1,149 new cases and 65.6 new deaths per day. The largest single-day death toll so far was recorded Wednesday. Cases are widespread. Patients have tested positive in 53 of 58 counties, from Siskiyou County south to the border. Cities have been hit hard. The largest concentration is in Los Angeles County, home to nearly half of the deaths so far. California's totals sit far below New York, where more than 17,100 people have died. To combat the virus' spread, state and local officials have shuttered much of the government and economy. More: Symptoms How it spreads Get our newsletter Jump to section What's the trend over time? Where are the confirmed cases? Where are the cases in SoCal? Where are the cases in L.A.? How does California compare? Who has died? How many tests have been run? What is closed or restricted? What is the trend over time? The state’s first case was confirmed near the end of January. The total grew slowly at first, then much faster as tests became more widely available. The number of cases in California is now on pace to double every 14.9 days, a reflection of how widely the virus is spreading. Coronavirus can infect people so rapidly that government officials have issued shutdown orders aimed at slowing the growth of new cases and flattening this line. Cumulative cases by day Feb. 1Feb. 15Mar. 1Mar. 15Apr. 1Apr. 1505,00010,00015,00020,00025,00030,000State increasestesting Times survey of county and local health departments Local governments announce new cases and deaths each day, though bottlenecks in testing and reporting lags can introduce delays. For instance, some agencies do not report new totals on weekends, leading to lower numbers on those days. New cases by day Feb. 1Feb. 15Mar. 1Mar. 15Apr. 1Apr. 1505001,0001,5007-dayaverage7-dayaverage Deaths by day Feb. 1Feb. 15Mar. 1Mar. 15Apr. 1Apr. 150204060801007-dayaverage7-dayaverage The lines above are seven-day averages. They offer a more stable view of the trend than daily totals. That's why experts wait for lines like these to flatten before they say conditions are improving. Growth varies from county to county, but most areas are still climbing. The chart below is adjusted to show how quickly new cases are being confirmed in each county. A good sign is when a line flattens, which indicates that transmission is slowing in that area. Cumulative cases by county Current doubling time5 days7911 5 dayssince 10th case102030401020501002005001,0002,0005,00010,000Doublingevery dayDoublingevery dayEvery2 daysEvery2 daysEvery3 daysEvery3 daysEvery weekEvery weekEverymonthEverymonthKingsKingsTulareTulareStanislausStanislausRiversideRiversideImperialImperialKernKernInyoInyoSan JoaquinSan JoaquinFresnoFresnoMontereyMontereyMercedMercedSacramentoSacramentoSan BernardinoSan BernardinoAlamedaAlamedaSolanoSolanoLos AngelesLos AngelesSan BenitoSan BenitoNapaNapaContra CostaContra CostaMarinMarinSanta ClaraSanta ClaraOrangeOrangeSanta CruzSanta CruzSutterSutterMonoMonoMaderaMadera This chart tracks cumulative cases after each county confirmed its 10th case. Case counts are plotted on a logarithmic scale, which makes it easier to see when cases level off. Doubling rate is the estimate of how long it would take the county to double its number of cases, given the trend in the last week. Help us track the coronavirus by subscribing Your support makes our reporting possible. Get unlimited digital access today. Already a subscriber? Your contributions help us maintain this page. Thank you. Where are the confirmed cases? Cases have been reported in 53 of the state’s 58 counties, from Siskiyou County south to the border. CasesDeaths Confirmed cases1803107901,5002,150 Hover for more information. Los AngelesLos AngelesSan DiegoSan DiegoSacramentoSacramentoSan FranciscoSan FranciscoReddingRedding Early on, the largest concentrations were in the San Francisco Bay Area. Since then, cases have spread across the state and growth has accelerated in urban centers, like Los Angeles. Total cases Per 100k New cases (7-day average) 03102550100500 Total deaths Per 100k New deaths (7-day average) 0135101520 Los Angeles 11,421 113.1 Mar. 1Apr. 17 501 5.0 Mar. 1Apr. 17 Riverside 2,457 103.1 69 2.9 San Diego 2,158 65.3 70 2.1 Santa Clara 1,870 97.3 73 3.8 Orange 1,501 47.4 28 0.9 San Bernardino 1,096 51.3 55 2.6 Alameda 1,063 64.7 40 2.4 San Francisco 1,058 121.6 20 2.3 Sacramento 896 59.3 32 2.1 San Mateo 797 104.1 28 3.7 Contra Costa 648 57.2 19 1.7 Kern 578 65.5 3 0.3 San Joaquin 398 54.4 17 2.3 Ventura 396 46.7 13 1.5 Tulare 382 83.0 17 3.7 Santa Barbara 373 84.1 3 0.7 Fresno 311 31.8 7 0.7 Stanislaus 206 38.2 4 0.7 Marin 187 71.8 10 3.8 Sonoma 180 35.9 2 0.4 Solano 169 38.5 2 0.5 Imperial 155 86.0 3 1.7 Placer 130 34.2 8 2.1 San Luis Obispo 127 45.1 1 0.4 Yolo 126 58.6 8 3.7 Monterey 119 27.5 3 0.7 Santa Cruz 98 35.8 2 0.7 Merced 85 31.6 3 1.1 Humboldt 52 38.3 0 0.0 Napa 44 31.3 2 1.4 San Benito 44 74.1 2 3.4 Nevada 36 36.3 1 1.0 El Dorado 36 19.3 0 0.0 Madera 33 21.3 2 1.3 Shasta 26 14.5 3 1.7 Sutter 25 26.1 2 2.1 Mono 23 162.3 1 7.1 Kings 20 13.3 1 0.7 Inyo 18 99.5 0 0.0 Butte 16 7.0 0 0.0 Yuba 15 19.9 1 1.3 Calaveras 12 26.5 0 0.0 Amador 7 18.5 0 0.0 Lake 6 9.4 0 0.0 Siskiyou 5 11.5 0 0.0 Mendocino 5 5.7 0 0.0 Plumas 4 21.4 0 0.0 Glenn 4 14.3 0 0.0 Colusa 3 14.0 0 0.0 Tuolumne 2 3.7 0 0.0 Del Norte 2 7.3 0 0.0 Alpine 1 87.3 0 0.0 Tehama 1 1.6 1 1.6 Show less Where are the cases in Southern California? Residents of cities and neighborhoods all across the Southland have contracted the coronavirus. Here are the latest tallies released by each area's health department. 5500San DiegoSan DiegoSan ClementeSan ClementeOxnardOxnardSanta BarbaraSanta BarbaraPalm SpringsPalm SpringsPismo BeachPismo BeachBakersfieldBakersfieldVictorvilleVictorvilleSAN LUIS OBISPOSAN LUIS OBISPOKERNKERNSANTA BARBARASANTA BARBARAVENTURAVENTURALOS ANGELESLOS ANGELESORANGEORANGERIVERSIDERIVERSIDESAN BERNARDINOSAN BERNARDINOSAN DIEGOSAN DIEGO Search: Area County Cases San Diego San Diego 1,036 Long Beach Los Angeles 419 Riverside Riverside 407 Glendale Los Angeles 310 Bakersfield East Kern 292 Moreno Valley Riverside 249 Chula Vista San Diego 234 Melrose Los Angeles 228 Pasadena Los Angeles 215 Santa Clarita Los Angeles 188 Bakersfield West Kern 186 Torrance Los Angeles 181 Anaheim Orange 178 Other/unknown San Diego 167 North Hollywood Los Angeles 153 Santa Ana Orange 149 Inglewood Los Angeles 145 Carson Los Angeles 143 Sylmar Los Angeles 138 Fontana San Bernardino 133 Palmdale Los Angeles 131 Hollywood Los Angeles 126 South Gate Los Angeles 123 El Cajon San Diego 122 San Bernardino San Bernardino 121 Burbank Los Angeles 121 East Los Angeles Los Angeles 121 Yucaipa San Bernardino 119 Downey Los Angeles 118 Van Nuys Los Angeles 113 Irvine Orange 111 Corona Riverside 108 Santa Monica Los Angeles 107 West Hollywood Los Angeles 107 Hemet Riverside 106 Huntington Beach Orange 103 Indio Riverside 103 Lancaster Los Angeles 102 Simi Valley Ventura 100 Canoga Park Los Angeles 99 Perris Riverside 99 Westlake Los Angeles 97 Lynwood Los Angeles 95 Gardena Los Angeles 93 Norwalk Los Angeles 93 West Vernon Los Angeles 90 Newport Beach Orange 90 Santa Maria Santa Barbara 90 Reseda Los Angeles 89 Hawthorne Los Angeles 89 Silver Lake Los Angeles 88 Sherman Oaks Los Angeles 85 Redondo Beach Los Angeles 84 Compton Los Angeles 83 Coachella Riverside 82 Oxnard Ventura 82 Panorama City Los Angeles 81 Federal Prison, Lompoc Santa Barbara 80 Woodland Hills Los Angeles 80 Menifee Riverside 79 Temecula Riverside 78 Beverly Hills Los Angeles 78 Pico Rivera Los Angeles 77 Pico-Union Los Angeles 76 Unincorporated - Florence-Firestone Los Angeles 76 Bell Los Angeles 75 Palm Springs Riverside 74 Pacoima Los Angeles 73 Lake Elsinore Riverside 72 Palms Los Angeles 70 Palm Desert Riverside 70 San Pedro Los Angeles 70 Valley Kern 69 Montebello Los Angeles 69 Murrieta Riverside 69 Pomona Los Angeles 68 Northridge Los Angeles 67 Glassell Park Los Angeles 67 Rancho Cucamonga San Bernardino 66 Redlands San Bernardino 65 Boyle Heights Los Angeles 65 Jurupa Valley Riverside 64 Whittier Los Angeles 64 Other/unknown Orange 63 Exposition Park Los Angeles 63 Koreatown Los Angeles 62 Lompoc Santa Barbara 62 Temple-Beaudry Los Angeles 62 Winnetka Los Angeles 62 Escondido San Diego 62 Chino San Bernardino 61 Bellflower Los Angeles 61 Orange Orange 59 National City San Diego 59 Encino Los Angeles 59 North Hills Los Angeles 59 Wilshire Center Los Angeles 59 West Adams Los Angeles 58 Granada Hills Los Angeles 58 Ontario San Bernardino 58 Brentwood Los Angeles 58 East Hollywood Los Angeles 58 Thousand Oaks Ventura 58 Manhattan Beach Los Angeles 57 Covina Los Angeles 57 Little Armenia Los Angeles 56 Cathedral City Riverside 56 Spring Valley San Diego 56 West Covina Los Angeles 56 Central Los Angeles 55 Paramount Los Angeles 54 Garden Grove Orange 53 Buena Park Orange 53 Florence-Firestone Los Angeles 52 Eagle Rock Los Angeles 52 Tarzana Los Angeles 52 Huntington Park Los Angeles 52 Hancock Park Los Angeles 52 Rialto San Bernardino 51 Victorville San Bernardino 50 Carlsbad San Diego 50 Vernon Central Los Angeles 50 Beaumont Riverside 49 Highland San Bernardino 49 South Park Los Angeles 48 Hollywood Hills Los Angeles 48 Sun Valley Los Angeles 48 Fullerton Orange 48 Oceanside San Diego 48 El Monte Los Angeles 47 Bell Gardens Los Angeles 46 El Sereno Los Angeles 46 Lakewood Los Angeles 46 Eastvale Riverside 46 Rancho Palos Verdes Los Angeles 46 Chino Hills San Bernardino 46 Crestview Los Angeles 45 Valley Village Los Angeles 44 Highland Park Los Angeles 44 Lake Balboa Los Angeles 44 La Mesa San Diego 44 San Clemente Orange 43 Santa Barbara Santa Barbara 43 Wilmington Los Angeles 43 Upland San Bernardino 42 Athens-Westmont Los Angeles 42 Yorba Linda Orange 42 Westchester Los Angeles 42 Chatsworth Los Angeles 42 Altadena Los Angeles 41 Carthay Los Angeles 41 La Quinta Riverside 40 Arleta Los Angeles 40 Alhambra Los Angeles 40 Camarillo Ventura 39 Mar Vista Los Angeles 39 Little Bangladesh Los Angeles 39 Valley Glen Los Angeles 39 Baldwin Hills Los Angeles 38 Monterey Park Los Angeles 38 Westwood Los Angeles 38 West Los Angeles Los Angeles 38 Baldwin Park Los Angeles 37 Sunland Los Angeles 37 Harvard Park Los Angeles 37 Mission Viejo Orange 37 Del Rey Los Angeles 36 Palos Verdes Estates Los Angeles 36 Laguna Beach Orange 36 Watts Los Angeles 36 Culver City Los Angeles 36 Harbor Gateway Los Angeles 35 Cypress Orange 35 Cerritos Los Angeles 35 Maywood Los Angeles 35 Orcutt Santa Barbara 34 Vermont Vista Los Angeles 34 Encinitas San Diego 34 Hacienda Heights Los Angeles 33 Century Palms/Cove Los Angeles 33 Lawndale Los Angeles 33 Pacific Palisades Los Angeles 33 La Habra Orange 33 Venice Los Angeles 33 Porter Ranch Los Angeles 33 South Whittier Los Angeles 33 Placentia Orange 32 Mission Hills Los Angeles 32 Wholesale District Los Angeles 32 Vista San Diego 32 Laguna Niguel Orange 31 Paso Robles San Luis Obispo 31 Undetermined San Bernardino 31 Tustin Orange 31 West Carson Los Angeles 31 Hesperia San Bernardino 31 Wildomar Riverside 30 Ventura Ventura 30 Country Club Park Los Angeles 30 Glendora Los Angeles 29 San Fernando Los Angeles 29 San Jacinto Riverside 29 Colton San Bernardino 29 Costa Mesa Orange 29 Downtown Los Angeles 28 University Park Los Angeles 27 San Marcos San Diego 27 Arcadia Los Angeles 27 Hyde Park Los Angeles 27 Leimert Park Los Angeles 26 Century City Los Angeles 26 Cudahy Los Angeles 26 La Canada Flintridge Los Angeles 26 West Hills Los Angeles 26 Calabasas Los Angeles 26 Beverly Crest Los Angeles 26 La Mirada Los Angeles 26 Mid-city Los Angeles 26 Desert Hot Springs Riverside 26 Harbor City Los Angeles 25 Walnut Park Los Angeles 25 Harvard Heights Los Angeles 25 Lake Forest Orange 25 Willowbrook Los Angeles 25 Historic Filipinotown Los Angeles 25 Lomita Los Angeles 24 Moorpark Ventura 24 Lincoln Heights Los Angeles 24 Westminster Orange 24 Fountain Valley Orange 24 Temple City Los Angeles 24 Santee San Diego 23 Crenshaw District Los Angeles 23 Tujunga Los Angeles 23 Atascadero San Luis Obispo 23 Vermont Knolls Los Angeles 23 Mead Valley Riverside 23 Beverlywood Los Angeles 23 Rancho Mirage Riverside 23 Rowland Heights Los Angeles 23 San Juan Capistrano Orange 22 Diamond Bar Los Angeles 22 Agoura Hills Los Angeles 22 Studio City Los Angeles 22 Bel Air Los Angeles 22 Azusa Los Angeles 22 Miracle Mile Los Angeles 21 Lakeview Terrace Los Angeles 21 La Puente Los Angeles 21 Los Feliz Los Angeles 21 Vermont Square Los Angeles 21 Green Meadows Los Angeles 21 South County Santa Barbara 21 South Pasadena Los Angeles 21 Poway San Diego 20 South Carthay Los Angeles 20 Lennox Los Angeles 20 Duarte Los Angeles 20 Malibu Los Angeles 20 Mecca Riverside 19 Loma Linda San Bernardino 19 French Valley Riverside 19 Hermosa Beach Los Angeles 18 Lakeside San Diego 18 San Dimas Los Angeles 18 Lemon Grove San Diego 18 Victoria Park Los Angeles 18 West Whittier/Los Nietos Los Angeles 18 North County Santa Barbara 17 View Park/Windsor Hills Los Angeles 17 Arroyo Grande San Luis Obispo 17 Banning Riverside 16 Desert Kern 16 Adams-Normandie Los Angeles 16 Dana Point Orange 16 Rosemead Los Angeles 16 Brea Orange 16 Mt. Washington Los Angeles 16 Bonita San Diego 15 Apple Valley San Bernardino 15 Aliso Viejo Orange 15 Ladera Heights Los Angeles 15 Monrovia Los Angeles 15 Calimesa Riverside 15 Mountain Kern 15 Walnut Los Angeles 15 San Gabriel Los Angeles 15 Canyon Country Los Angeles 15 San Luis Obispo (city) San Luis Obispo 15 Grand Terrace San Bernardino 14 Temescal Valley Riverside 14 Quartz Hill Los Angeles 14 Laguna Hills Orange 14 Imperial Beach San Diego 14 Claremont Los Angeles 14 Rancho Santa Fe San Diego 14 El Sobrante Riverside 14 Norco Riverside 14 Good Hope Riverside 13 Rancho Santa Margarita Orange 13 Cloverdale/Cochran Los Angeles 13 Unincorporated - Covina Los Angeles 13 Other San Luis Obispo 12 Montclair San Bernardino 12 El Segundo Los Angeles 12 Stevenson Ranch Los Angeles 12 Gramercy Place Los Angeles 12 Valinda Los Angeles 12 Bloomington San Bernardino 12 Rolling Hills Estates Los Angeles 12 Oak Park Ventura 12 East Rancho Dominguez Los Angeles 12 La Palma Orange 12 Goleta Valley & Gaviota Santa Barbara 12 La Crescenta-Montrose Los Angeles 12 Cheviot Hills Los Angeles 12 Playa Vista Los Angeles 11 Nipomo San Luis Obispo 11 Ramona San Diego 11 La Verne Los Angeles 11 Thai Town Los Angeles 11 Del Mar San Diego 11 Lakeland Village Riverside 11 Santa Fe Springs Los Angeles 11 Park La Brea Los Angeles 11 Artesia Los Angeles 10 Woodcrest Riverside 10 Yucca Valley San Bernardino 10 Indian Wells Riverside 10 Atwater Village Los Angeles 10 Fallbrook San Diego 10 Athens Village Los Angeles 10 Figueroa Park Square Los Angeles 10 Elysian Valley Los Angeles 10 Echo Park Los Angeles 10 Barstow San Bernardino 9 Seal Beach Orange 9 Castaic Los Angeles 9 Bassett Los Angeles 9 Ladera Ranch Orange 9 Covina (Charter Oak) Los Angeles 9 Trabuco Canyon Orange 9 Reseda Ranch Los Angeles 9 Canyon Lake Riverside 8 Lake Los Angeles Los Angeles 8 Fillmore Ventura 8 Adelanto San Bernardino 8 San Marino Los Angeles 8 Westlake Ventura 8 Rancho Dominguez Los Angeles 8 Marina Peninsula Los Angeles 8 Rancho Park Los Angeles 8 Stanton Orange 8 Garnet Riverside 8 Cadillac-Corning Los Angeles 8 South San Gabriel Los Angeles 7 Northeast San Gabriel Los Angeles 7 Laguna Woods Orange 7 Lafayette Square Los Angeles 7 Thermal Riverside 7 Alsace Los Angeles 7 San Jose Hills Los Angeles 7 Santa Monica Mountains Los Angeles 7 Newbury Park Ventura 7 Shadow Hills Los Angeles 7 Toluca Lake Los Angeles 7 Home Gardens Riverside 7 Templeton San Luis Obispo 7 Santa Paula Ventura 6 Goleta Santa Barbara 6 East La Mirada Los Angeles 6 El Cerrito Riverside 6 Nuevo Riverside 6 Morro Bay San Luis Obispo 6 Port Hueneme Ventura 6 Solana Beach San Diego 6 West Puente Valley Los Angeles 6 Villa Park Orange 6 Jamul San Diego 6 Los Alamitos Orange 6 Coronado San Diego 6 Marina del Rey Los Angeles 6 Westlake Village Los Angeles 6 Reynier Village Los Angeles 6 Avocado Heights Los Angeles 5 Santa Ynez Valley Santa Barbara 5 Anza Riverside 5 Commerce Los Angeles 5 Bermuda Dunes Riverside 5 Elysian Park Los Angeles 5 View Heights Los Angeles 5 Rancho Mission Viejo Orange 5 Jefferson Park Los Angeles 5 Del Aire Los Angeles 5 La Rambla Los Angeles 5 Big Bear Lake San Bernardino 5 Unincorporated - Monrovia Los Angeles 5 Coto de Caza Orange 5 Crestline San Bernardino 5 Ojai Ventura 5 Pismo Beach San Luis Obispo 5 Oak Hills San Bernardino 5 Acton Los Angeles 5 Signal Hill Los Angeles 5 Morongo Valley San Bernardino 5 Valley Center San Diego 4 Mentone San Bernardino 4 Joshua Tree San Bernardino 4 Cherry Valley Riverside 4 Desert Palms Riverside 4 Twentynine Palms San Bernardino 4 East Hemet Riverside 4 Thousand Palms Riverside 4 Valle Vista Riverside 4 Lake Mathews Riverside 3 Santa Rosa Valley Ventura 3 Lake Sherwood Ventura 3 Phelan San Bernardino 3 Oasis Riverside 3 Idyllwild-Pine Cove Riverside 3 Oak View Ventura 2 Alpine San Diego 2 Pauma Valley San Diego 2 Desert Edge Riverside 2 Ranchita San Diego 2 Sky Valley Riverside 2 Fort Irwin San Bernardino 2 Landers San Bernardino 2 Blue Jay San Bernardino 2 Running Springs San Bernardino 2 Homeland Riverside 2 Piru Ventura 2 Bonsall San Diego 1 Boulevard San Diego 1 Green Acres Riverside 1 Isla Vista Santa Barbara 1 Wrightwood San Bernardino 1 Meadowbrook Riverside 1 Romoland Riverside 1 Potrero San Diego 1 Lakeview Riverside 1 Coronita Riverside 1 Winchester Riverside 1 Rimforest San Bernardino 1 Cabazon Riverside 1 Descanso San Diego 1 Blythe Riverside 1 Somis Ventura 1 Borrego Springs San Diego 1 Vista Santa Rosa Riverside San Clemente Island Los Angeles 1-4 Wellington Square Los Angeles 1-4 Rosewood/West Rancho Dominguez Los Angeles 1-4 Rosewood/East Gardena Los Angeles 1-4 Rosewood Los Angeles 1-4 Roosevelt Los Angeles 1-4 White Fence Farms Los Angeles 1-4 Rolling Hills Los Angeles 1-4 Unincorporated - El Monte Los Angeles 1-4 Unincorporated - Duarte Los Angeles 1-4 Regent Square Los Angeles 1-4 Playa Del Rey Los Angeles 1-4 Unincorporated - Claremont Los Angeles 1-4 Placerita Canyon Los Angeles 1-4 Vernon Los Angeles 1-4 Pellissier Village Los Angeles 1-4 Pearblossom/Llano Los Angeles 1-4 Palos Verdes Peninsula Los Angeles 1-4 Unincorporated - Cerritos Los Angeles 1-4 Unincorporated - Bradbury Los Angeles 1-4 Palisades Highlands Los Angeles 1-4 Valencia Los Angeles 1-4 Wiseburn Los Angeles 1-4 Unincorporated - Azusa Los Angeles 1-4 Val Verde Los Angeles 1-4 North Whittier Los Angeles 1-4 Westhills Los Angeles 1-4 North Lancaster Los Angeles 1-4 Newhall Los Angeles 1-4 Unincorporated - Arcadia Los Angeles 1-4 University Hills Los Angeles 1-4 Unincorporated - Angeles National Forest Los Angeles 1-4 Mandeville Canyon Los Angeles 1-4 Twin Lakes/Oat Mountain Los Angeles 1-4 Manchester Square Los Angeles 1-4 Longwood Los Angeles 1-4 Llano Los Angeles 1-4 Toluca Woods Los Angeles 1-4 Littlerock/Pearblossom Los Angeles 1-4 Littlerock/Juniper Hills Los Angeles 1-4 Toluca Terrace Los Angeles 1-4 Littlerock Los Angeles 1-4 Universal City Los Angeles 1-4 Unincorporated - Whittier Los Angeles 1-4 Unincorporated - West LA Los Angeles 1-4 Campo San Diego Little Tokyo Los Angeles 1-4 Leona Valley Los Angeles 1-4 Unincorporated - Walnut Los Angeles 1-4 Lake Manor Los Angeles 1-4 Westfield/Academy Hills Los Angeles 1-4 Lake Hughes Los Angeles 1-4 Sycamore Square Los Angeles 1-4 Sunrise Village Los Angeles 1-4 La Habra Heights Los Angeles 1-4 Kagel/Lopez Canyons Los Angeles 1-4 Sun Village Los Angeles 1-4 St Elmo Village Los Angeles 1-4 Irwindale Los Angeles 1-4 Industry Los Angeles 1-4 Hidden Hills Los Angeles 1-4 Hi Vista Los Angeles 1-4 Hawaiian Gardens Los Angeles 1-4 Southeast Antelope Valley Los Angeles 1-4 Unincorporated - South El Monte Los Angeles 1-4 Harbor Pines Los Angeles 1-4 Franklin Canyon Los Angeles 1-4 Unincorporated - Pomona Los Angeles 1-4 Faircrest Heights Los Angeles 1-4 Exposition Los Angeles 1-4 Unincorporated - Palmdale Los Angeles 1-4 Elizabeth Lake Los Angeles 1-4 South El Monte Los Angeles 1-4 El Camino Village Los Angeles 1-4 West Rancho Dominguez Los Angeles 1-4 East Whittier Los Angeles 1-4 East Pasadena Los Angeles 1-4 East Lancaster Los Angeles 1-4 South Edwards Los Angeles 1-4 South Antelope Valley Los Angeles 1-4 East Covina Los Angeles 1-4 Desert View Highlands Los Angeles 1-4 Unincorporated - Miracle Mile Los Angeles 1-4 Del Sur Los Angeles 1-4 Sierra Madre Los Angeles 1-4 Unincorporated - Lynwood Los Angeles 1-4 North Shore Riverside Unincorporated - Lakewood Los Angeles 1-4 Unincorporated - La Verne Los Angeles 1-4 Chinatown Los Angeles 1-4 Charter Oak Los Angeles 1-4 Brookside Los Angeles 1-4 Bradbury Los Angeles 1-4 Bouquet Canyon Los Angeles 1-4 Saugus/Canyon Country Los Angeles 1-4 Bandini Islands Los Angeles 1-4 Saugus Los Angeles 1-4 Avalon Los Angeles 1-4 Whittier Narrows Los Angeles 1-4 Angelino Heights Los Angeles 1-4 Santa Catalina Island Los Angeles 1-4 Angeles National Forest Los Angeles 1-4 Sand Canyon Los Angeles 1-4 Unincorporated - La Habra Heights Los Angeles 1-4 Anaverde Los Angeles 1-4 San Pasqual Los Angeles 1-4 Unincorporated - Hawthorne Los Angeles 1-4 West Chatsworth Los Angeles 1-4 San Francisquito Canyon/Bouquet Canyon Los Angeles 1-4 Unincorporated - Harbor Gateway Los Angeles 1-4 Unincorporated - Glendora Los Angeles 1-4 Agua Dulce Los Angeles 1-4 West Antelope Valley Los Angeles 1-4 Unincorporated - Del Rey Los Angeles 1-4 Show less The locations of some cases have not been disclosed. Orange and Los Angeles counties only report a range for areas with lower populations. Kern County only provides data for generalized regions. Where are the cases in L.A.? No county has recorded more cases than Los Angeles, home to a quarter of California’s population. Here's where cases have been confirmed so far, provided by the county’s health department. 25250DowntownDowntownSanta MonicaSanta MonicaLong BeachLong BeachLancasterLancaster Search: Cases Long Beach 419 Glendale 310 Melrose 228 Pasadena 215 Santa Clarita 188 Show all How does California compare? The coronavirus has hit most of the U.S., with the largest concentrations in and around New York City. California, America's most populous state, has one of the highest totals. It ranks much lower after adjusting for population. Total cases Per 100k New cases (7-day average) 010501005001k5k Total deaths Per 100k New deaths (7-day average) 051050100200500 New York 230,597 1175.4 Mar. 1Apr. 17 17,131 87.3 Mar. 1Apr. 17 New Jersey 78,467 883.5 3,840 43.2 Massachusetts 34,402 503.7 1,245 18.2 Michigan 30,023 301.5 2,227 22.4 Pennsylvania 29,888 233.7 921 7.2 California 29,425 75.2 1,057 2.7 Illinois 27,578 215.1 1,132 8.8 Florida 24,759 120.2 725 3.5 Louisiana 23,118 495.7 1,213 26.0 Texas 17,849 64.0 451 1.6 Georgia 17,194 167.0 650 6.3 Connecticut 16,809 469.3 1,036 28.9 Maryland 11,572 192.8 334 5.6 Washington 11,517 157.9 603 8.3 Indiana 10,154 153.0 522 7.9 Ohio 9,107 78.2 418 3.6 Colorado 8,691 157.1 372 6.7 Virginia 7,491 89.0 231 2.7 Tennessee 6,263 94.2 141 2.1 North Carolina 6,045 59.5 177 1.7 Missouri 5,371 88.2 184 3.0 Alabama 4,571 94.0 148 3.0 Arizona 4,511 64.9 169 2.4 Rhode Island 4,177 395.3 118 11.2 South Carolina 4,099 82.7 116 2.3 Wisconsin 4,053 70.1 206 3.6 Mississippi 3,793 126.9 140 4.7 Nevada 3,524 120.6 142 4.9 Utah 2,793 91.7 23 0.8 Kentucky 2,522 56.8 137 3.1 Washington D.C. 2,476 361.7 86 12.6 Oklahoma 2,465 62.9 136 3.5 Iowa 2,332 74.4 64 2.0 Delaware 2,317 244.0 61 6.4 Minnesota 2,070 37.5 111 2.0 Oregon 1,785 43.7 70 1.7 Kansas 1,730 59.5 82 2.8 Arkansas 1,695 56.7 37 1.2 Idaho 1,609 95.3 41 2.4 New Mexico 1,597 76.3 44 2.1 South Dakota 1,411 163.3 7 0.8 New Hampshire 1,287 95.8 37 2.8 Puerto Rico 1,068 31.5 58 1.7 Nebraska 1,066 56.0 24 1.3 Maine 827 62.0 29 2.2 Vermont 779 124.6 35 5.6 West Virginia 775 42.4 16 0.9 Hawaii 541 38.0 9 0.6 Montana 422 40.5 8 0.8 North Dakota 393 52.2 9 1.2 Alaska 309 41.8 9 1.2 Wyoming 305 52.4 2 0.3 Show less Who has died? Information is limited about the 1057 people who have died in California. Most county and city public health departments release little to no information about COVID-19 victims. The state has set few rules for what local agencies must release. So far, more men have been reported dead than women, but public health officials have not released the gender of most victims. Undisclosed 922 Men 79 Women 58 When an age has been disclosed, the victim has tended to be older. Unknown 554 Older than 60 436 Younger than 60 67 Victims have come from 37 of the state's 58 counties. Los Angeles County has reported the most so far. Male Female Undisclosed Los Angeles 503 deaths Santa Clara 73 deaths San Diego 70 deaths Riverside 69 deaths San Bernardino 55 deaths Alameda 40 deaths Sacramento 32 deaths San Mateo 28 deaths Orange 28 deaths San Francisco 20 deaths Contra Costa 19 deaths San Joaquin 17 deaths Tulare 17 deaths Ventura 13 deaths Marin 10 deaths Yolo 8 deaths Placer 8 deaths Fresno 7 deaths Stanislaus 4 deaths Shasta 3 deaths Merced 3 deaths Santa Barbara 3 deaths Imperial 3 deaths Monterey 3 deaths Kern 3 deaths Solano 2 deaths Sonoma 2 deaths San Benito 2 deaths Sutter 2 deaths Santa Cruz 2 deaths Napa 2 deaths Madera 2 deaths Kings 1 death Tehama 1 death Mono 1 death Nevada 1 death San Luis Obispo 1 death Yuba 1 death Do you know someone who has lost the battle with COVID-19? We'd like to hear from the loved ones of people who have died from the coronavirus. Please consider sharing their stories with us here. How many tests have been run? A disorganized web of city, county and state facilities, as well as a growing number of private for-profit labs, are conducting tests. Officials have struggled to keep tabs. After a series of what he called “fits and starts” in test tracking, Gov. Newsom on Saturday promised better organization and a “new day.” His administration now sets the total number of tests conducted in California at 258,800. Cumulative tests conducted by day Feb. 1Feb. 15Mar. 1Mar. 15Apr. 1Apr. 15050,000100,000150,000200,000250,000Data releasebeginsMore labscountedOvercountcorrectedNewsom vows'new day' California Department of Public Health At the end of March, a deluge of samples caused a bottleneck and delayed turnaround times. The number of pending tests ballooned. Those numbers dropped drastically Saturday after Newsom acknowledged that past counts were “not in the real time you deserve.” Pending vs. completed tests Feb. 1Feb. 15Mar. 1Mar. 15Apr. 1Apr. 15050,000100,000150,000200,000250,000 California Department of Public Health What is closed or restricted? Gov. Newsom has ordered all Californians to stay at home, placing mandatory restrictions on the lives of all 40 million residents. https://www.latimes.com/projects/california-coronavirus-cases-tracking-outbreak/

Total Number of Lab-Confirmed COVID-19 Cases in Utah Jurisdiction Cases Hospitalizations Deaths Bear River 52 9 0 Central Utah 11 1 0 Davis County 227 21 2 Salt Lake County 1456 126 12 San Juan 17 5 2 Southeast Utah 5 0 0 Southwest Utah 63 9 1 Summit County 311 29 0 Tooele County 38 4 0 TriCounty 9 1 0 Utah County 403 22 4 Wasatch County 103 5 1 Weber-Morgan 110 12 1 State Total 2805 244 23 COVID-19 Case Counts +− COVID-19 Case Counts 2004006008001,0001,2001,400 Leaflet | © OpenStreetMap contributors, CC-BY-SA COVID-19 Case Rates per 100,000 Population +− COVID-19 Case Rates 100200300400500600700 Leaflet | © OpenStreetMap contributors, CC-BY-SA Cases Reported by Indian Health Service and Tribal Nations (these cases are also reflected in case counts by health district) Reporting Jurisdiction Cases Navajo Nation Reservation (Utah) - Utah Navajo Health System 16 Uintah and Ouray Reservation: Uintah & Ouray Indian Health Services (IHS) 0 State Total 2805 COVID-19 Cases by the Date a Positive Test was Reported to Public Health Mar 01Mar 15Apr 01Apr 15050100150200 DateLab-Confirmed COVID-19 Cases COVID-19 Cases by Date of Symptom Onset or Diagnosis (data will backfill) Mar 01Mar 15Apr 01Apr 15050100150200 Date of Symptom Onset or DiagnosisNumber of lab-confirmed COVID-19 casesIllnesses that beganin this time maynot yet be reported Number of People Tested by Date Mar 15Apr 01Apr 150100020003000 NegativePositiveDateNumber of People TestedTest ResultTests completed in this timemay not yetbe reported Cumulative COVID-19 Cases with Estimated Recoveries (does not include the current day) * Mar 15Apr 01Apr 15010002000 DiedEstimated ActiveEstimated Recovered *DateCumulative CasesRecovery Status Data Notes: * The number of recovered persons is estimated by the number of cases whose first positive laboratory test was reported at least 21 days ago, excluding deaths. Laboratory: As of March 19th, 2020 all major private and public laboratories in Utah are reporting positive and negative COVID-19 (SARS-CoV-2) results to UDOH, positive cases are reported immediately. Negative results may have up to a 72-hour lag before being reported and results prior to March 19th may be under-reported. Laboratory positives may not match confirmed cases due to ongoing investigations and confirmatory testing. When available, laboratory data is shown by the date a sample was tested. If unavailable, it is shown by the date reported to public health. Case data: As of 4/15, case data are displayed by both the date the first positive laboratory result (FPLR) is reported to public health and the self-reported symptom onset date. Previously this was reported by the first day a person was reported (through laboratory results or contact tracing) to public health. The FPLR date will provide a more stable estimate of the new cases reported to public health, however, there will be small differences in cases by date as public health receives additional information. Onset date is taken preferentially from the following dates when available: 1) self-reported date of first symptoms, 2) date diagnosed by a clinician, 3) date first positive specimen was collected, 4) first report to public health. The actual number of cases in Utah is higher than what is reported due to mild cases not feeling ill enough to seek care, clinician judgement for testing, and expanding laboratory capacity. https://coronavirus.utah.gov/case-counts/

Updated: April 17, 2020 at 11:45 AM Confirmed Cases1 Recovered Hospitalizations Deaths 827 352 133 29 1Confirmed Cases: This number represents individuals with tests that come back positive from any approved lab. Number of Individuals with Negative COVID‑19 Test Results in Maine Updated: April 15, 202014,076 Maine CDC will publish negative results once a week on Wednesdays. Because of the number of outside labs that are testing samples from Maine, it is not currently possible to post a complete count of negative tests on a daily basis. https://www.maine.gov/dhhs/mecdc/infectious-disease/epi/airborne/coronavirus.shtml View a table of Maine COVID-19 Current Hospital Use and Capacity Data Maine COVID-19 Current Hospital Use and Capacity Data Updated: April 17, 2020 at 11:45 AM Hospitalized: Confirmed Cases Total Hospitalized 55 In Critical Care 28 On a Ventilator 8 Capacity Available Critical Care Beds 151 Total Critical Care Beds 321 Available Ventilators 309 Total Ventilators 344 Alternative Ventilators 240 View a Map of Cumulative Confirmed COVID‑19 Cases by County View a Table of Cumulative COVID‑19 Cases by County View a Table of Cumulative Confirmed COVID-19 Cases by Age View a Table of Cumulative Confirmed COVID-19 Cases by Sex

Confirmed Cases / Deaths by County County Confirmed Cases Deaths Adams 40 0 Asotin 11 0 Benton 293 32 Chelan 64 5 Clallam 14 0 Clark 246 14 Columbia 1 0 Cowlitz 27 0 Douglas 30 1 Ferry 1 0 Franklin 167 4 Garfield 0 0 Grant 132 2 Grays Harbor 12 0 Island 157 8 Jefferson 28 0 King 4,865 330 Kitsap 133 1 Kittitas 14 0 Klickitat 16 3 Lewis 19 2 Lincoln 2 0 Mason 22 0 Okanogan 14 0 Pacific 1 0 Pend Oreille 2 0 Pierce 1,031 30 San Juan 15 0 Skagit 222 6 Skamania 3 0 Snohomish 2,032 89 Spokane 290 15 Stevens 7 1 Thurston 89 1 Wahkiakum 2 0 Walla Walla 26 0 Whatcom 269 25 Whitman 12 0 Yakima 692 34 Unassigned 444 0 Total 11,445 603 Number of Individuals Tested Result Number of Individuals Tested Percent of Tests Negative 120,182 91% Positive 11,445 9% Patients Hospitalized and in the Intensive Care Unit (ICU) with Laboratory-Confirmed COVID‑19 Date Hospitals Reporting Total Patients Hospitalized with COVID‑19 Total Patients in the ICU with COVID‑19 4/10/2020 83 651 191 4/11/2020 50 528 166 4/12/2020 46 388 99 4/13/2020 89 645 194 4/14/2020 88 618 201 4/15/2020 87 622 195 4/16/2020 83 518 155 Every day, acute care hospitals in Washington are reporting the number of patients with laboratory-confirmed COVID-19 in their hospital and in their intensive care unit (ICU) to the Department of Health. The numbers in the columns represent the total number of patients hospitalized and in the ICU with laboratory-confirmed COVID-19 at all the hospitals reporting on that day. The number of hospitals reporting varies on a day to day basis, so counts are not directly comparable from day to day. There are 92 acute care hospitals in Washington, excluding our two military hospitals. Behavioral health hospitals are excluded from these data. Data are provided to the Department of Health through partnerships with the Northwest Healthcare Response Network, for western Washington, the Regional Emergency and Disaster (REDi) Healthcare Coalition, for eastern Washington, and the Region IV Healthcare Preparedness Alliance, for southwest Washington, and the Washington State Hospital Association. Confirmed Cases / Deaths by Age Age Group Percent of Cases Percent of Deaths 0-19 3% 0% 20-39 28% 0% 40-59 34% 8% 60-79 25% 38% 80+ 10% 54% Unknown 0% 0% Confirmed Cases / Deaths by Gender Sex at Birth Percent of Cases Percent of Deaths Female 52% 43% Male 45% 57% Unknown 3% 0% Confirmed Cases by Race/Ethnicity Race/Ethnicity Confirmed Cases Percent of Cases *Out of total with reported race/ethnicity Percent of Total WA Population Hispanic 1,689 25% 13% Non-Hispanic American Indian or Alaska Native 92 1% 1% Non-Hispanic Asian 653 10% 9% Non-Hispanic Black 436 7% 4% Non-Hispanic White 3,619 54% 68% Non-Hispanic Native Hawaiian or Other Pacific Islander 85 1% 1% Non-Hispanic Multiracial 1 0% 4% Non-Hispanic Other Race 117 2% NA Total with Race/Ethnicity Available 6,692 100% Unknown Race/Ethnicity (Percent out of Total Cases) 4,753 42% NA Total Number of Cases 11,445 100% * Out of total with reported race/ethnicity Deaths by Race/Ethnicity Race/Ethnicity Deaths Percent of Deaths *Out of total with reported race/ethnicity Percent of Total WA Population Hispanic 38 7% 13% Non-Hispanic American Indian or Alaska Native 6 1% 1% Non-Hispanic Asian 57 11% 9% Non-Hispanic Black 16 3% 4% Non-Hispanic White 397 74% 68% Non-Hispanic Native Hawaiian or Other Pacific Islander 3 1% 1% Non-Hispanic Multiracial 7 1% 4% Non-Hispanic Other Race 12 2% NA Total with Race/Ethnicity Available 536 100% Unknown Race/Ethnicity (Percent out of Total Deaths) 67 11% NA Total Number of Deaths 603 100% * Out of total with reported race/ethnicity Note on the county and unassigned data: This data changes rapidly as labs conduct tests and discover new cases. Labs assign those cases to a county. Counties or the Department of Health then determine the appropriate county of jurisdiction. Those don’t always match initially. We’re working to reduce the “unassigned” number to 0. Contact the local health department for county specific information. Note on the deaths: Some deaths may be reported by health care providers, medical examiners/coroners, local health departments, or others before they are included in the statewide count. It takes longer for the state to announce deaths because they are often reported first to the local health department and then to us. Note on the number of infections: Public health experts agree that the true number of people who have been infected with COVID-19 in Washington greatly exceeds the number of COVID-19 infections that have been laboratory-confirmed. It is very difficult to know exactly how many people in Washington have been infected to date since most people with COVID-19 experience mild illness and the ability to get tested is still not widely available. https://www.doh.wa.gov/Emergencies/Coronavirus

County Cases Information (Counties with less than 5 cases are not included) Abbeville Rate (per 100k): 40.77 Positives: 10 Deaths: 0 Aiken Rate (per 100k): 38.63 Positives: 66 Deaths: 3 Allendale Rate (per 100k): 69.06 Positives: 6 Deaths: 0 Anderson Rate (per 100k): 62.7 Positives: 127 Deaths: 5 Bamberg Rate (per 100k): 49.77 Positives: 7 Deaths: 0 Barnwell Rate (per 100k): 23.96 Positives: 5 Deaths: 0 Beaufort Rate (per 100k): 111.39 Positives: 214 Deaths: 6 Berkeley Rate (per 100k): 53.97 Positives: 123 Deaths: 3 Calhoun Rate (per 100k): 41.23 Positives: 6 Deaths: 1 Charleston Rate (per 100k): 93.58 Positives: 385 Deaths: 3 Cherokee Rate (per 100k): 22.69 Positives: 13 Deaths: 0 Chester Rate (per 100k): 71.33 Positives: 23 Deaths: 0 Chesterfield Rate (per 100k): 67.91 Positives: 31 Deaths: 0 Clarendon Rate (per 100k): 314.12 Positives: 106 Deaths: 6 Colleton Rate (per 100k): 55.74 Positives: 21 Deaths: 1 Darlington Rate (per 100k): 78.06 Positives: 52 Deaths: 0 Dillon Rate (per 100k): 36.09 Positives: 11 Deaths: 0 Dorchester Rate (per 100k): 50.98 Positives: 83 Deaths: 1 Edgefield Rate (per 100k): 36.68 Positives: 10 Deaths: 0 Fairfield Rate (per 100k): 111.87 Positives: 25 Deaths: 0 Florence Rate (per 100k): 87.5 Positives: 121 Deaths: 8 Georgetown Rate (per 100k): 54.24 Positives: 34 Deaths: 2 Greenville Rate (per 100k): 85.38 Positives: 447 Deaths: 11 Greenwood Rate (per 100k): 45.19 Positives: 32 Deaths: 0 Hampton Rate (per 100k): 93.64 Positives: 18 Deaths: 0 Horry Rate (per 100k): 47.16 Positives: 167 Deaths: 10 Jasper Rate (per 100k): 49.88 Positives: 15 Deaths: 0 Kershaw Rate (per 100k): 285.5 Positives: 190 Deaths: 8 Lancaster Rate (per 100k): 74.48 Positives: 73 Deaths: 2 Laurens Rate (per 100k): 28.15 Positives: 19 Deaths: 1 Lee Rate (per 100k): 237.7 Positives: 40 Deaths: 5 Lexington Rate (per 100k): 85.02 Positives: 254 Deaths: 9 McCormick Rate (per 100k): 52.84 Positives: 5 Deaths: 1 Marion Rate (per 100k): 45.67 Positives: 14 Deaths: 1 Marlboro Rate (per 100k): 95.72 Positives: 25 Deaths: 0 Newberry Rate (per 100k): 59.83 Positives: 23 Deaths: 1 Oconee Rate (per 100k): 17.6 Positives: 14 Deaths: 0 Orangeburg Rate (per 100k): 47.58 Positives: 41 Deaths: 0 Pickens Rate (per 100k): 28.37 Positives: 36 Deaths: 0 Richland Rate (per 100k): 147.2 Positives: 612 Deaths: 14 Saluda Rate (per 100k): 43.96 Positives: 9 Deaths: 0 Spartanburg Rate (per 100k): 63.79 Positives: 204 Deaths: 5 Sumter Rate (per 100k): 164.92 Positives: 176 Deaths: 6 Union Rate (per 100k): 84.2 Positives: 23 Deaths: 0 Williamsburg Rate (per 100k): 62.57 Positives: 19 Deaths: 0 York Rate (per 100k): 53.74 Positives: 151 Deaths: 3 https://www.scdhec.gov/infectious-diseases/viruses/coronavirus-disease-2019-covid-19/sc-testing-data-projections-covid-19

Data current as of 4/17/2020, 8:00 a.m. Updated daily. Positive 1,785 Negative 34,536 Total persons tested 36,321 Total deaths 70 The daily update, weekly report and projections are available below under "Additional Data and Projections." Demographics, Hospital Capacity and Testing County Positive† Deaths* Negative Baker 0 0 40 Benton 27 4 601 Clackamas 153 4 3160 Clatsop 6 0 326 Columbia 14 0 427 Coos 1 0 377 Crook 1 0 127 Curry 3 0 105 Deschutes 61 0 1243 Douglas 22 0 616 Gilliam 0 0 16 Grant 1 0 38 Harney 0 0 44 Hood River 4 0 338 Jackson 48 0 3310 Jefferson 1 0 120 Josephine 19 1 765 Klamath 29 0 1088 Lake 0 0 50 Lane 46 1 1800 Lincoln 4 0 304 Linn 57 6 1249 Malheur 5 0 169 Marion 317 12 2728 Morrow 5 0 54 Multnomah 467 28 7952 Polk 31 1 547 Sherman 1 0 16 Tillamook 6 0 181 Umatilla 23 0 442 Union 4 0 88 Wallowa 1 0 21 Wasco 10 0 380 Washington 383 7 4896 Wheeler 0 0 7 Yamhill 35 6 911 Total 1785 70 34536 Age group Cases Percent Ever hospitalized‡ Deaths* 0 to 19 42 2% 3 0 20 to 29 195 11% 18 0 30 to 39 276 15% 23 0 40 to 49 329 18% 57 1 50 to 59 318 18% 61 1 60 to 69 315 18% 122 13 70 to 79 191 11% 85 19 80 and over 119 7% 58 36 Not available 0 0% - 0 Total 1785 100% 427 70 Sex Cases Percent Deaths* Female 990 55% 35 Male 790 44% 35 Not available 5 0% 0 Total 1785 100% 70 Hospitalized‡ Cases Percent Yes 427 24% No 1243 70% Not provided 115 6% Total 1785 100% Hospital capacity and usage✣ Available Total Adult ICU beds 274 818 Adult non-ICU beds 2012 7269 Pediatric NICU/PICU beds 99 251 Pediatric non-ICU beds 153 347 Ventilators 800 COVID-19 details✣ Patients with suspected or confirmed COVID-19 Only patients with confirmed COVID-19 Current hospitalized patients 301 125 Current patients in ICU beds 69 43 Current patients on ventilators 41 28 Testing by Oregon State Public Health Laboratory Specimens received at OSPHL on 4/16/2020 58 Test results released by OSPHL on 4/16/2020 46 Specimens pending at OSPHL as of 8:00 p.m. 4/16/2020 18 Total persons tested for COVID-19 at OSPHL since 2/28/2020 3,316 Total persons tested at other laboratories 33,005 Total persons tested 36,321 †County of residence for cases may change as new information becomes available. If changes occur, we will update our counts accordingly. *For additional details on individuals who have died from COVID-19 in Oregon, please refer to our press releases. ‡Ever hospitalized, if available, as reported to Orpheus. Orpheus is the state of Oregon’s electronic disease surveillance system for reportable diseases. Cases are considered hospitalized if they were ever admitted to the hospital for inpatient care during the their COVID-19 illness. Cases who were examined in but not admitted to a hospital may be incorrectly classified as hospitalized until interview and medical record review are complete, leading to fluctuations in the number of hospitalized COVID-19 cases. ✣As reported to Oregon’s Hospital Capacity Web System (HOSCAP). Every hospital in Oregon is asked to submit data twice daily HOSCAP. Hospital staff are asked to enter bed capacity information, by type, as well as the numbers of patients with suspected or confirmed COVID-19 illness who are currently hospitalized at the time of data entry. These data may conflict with hospitalization status in Orpheus due to case reporting and investigation lags and temporary discrepancies in case classification. Notes: Because community transmission is occurring in Oregon and recommendations on social or physical distancing are in place, as of March 17, 2020, we no longer report daily counts of persons under monitoring. Confirmation by CDC of laboratory results from the Oregon State Public Health Laboratory is no longer required; therefore as of March 15, 2020, we no longer note the number of CDC-confirmed cases. Reporting of travel history is not available for cases reported to OHA by commercial laboratories; therefore as of March 15, 2020, we no longer include information about travel history. As of March 25, 2020, we are including the number of pending test results available from the Oregon State Public Health Laboratory (OSPHL). The OSPHL serves as the first source of testing during an outbreak and as commercial labs come online, OSPHL increases focus on priority testing. Commercial labs have the ability to conduct testing on an industrial scale, but do not report pending results, therefore we only include pending results from OSPHL. As of March 26, 2020, OHA is releasing a COVID-19 Daily Update (formerly called the Situational Status Report) which is produced jointly with Oregon Office of Emergency Management. It details the overall picture of the COVID-19 response across government agencies. Previous updates are posted on OHA's COVID-19 News page. https://govstatus.egov.com/OR-OHA-COVID-19

18,001 confirmed coronavirus cases, 447 deaths in Texas. We are tracking cases of coronavirus disease using data collected from the Centers for Disease Control and Prevention and state and local public health departments and our own reporting. https://www.houstonchronicle.com/coronavirus/article/texas-coronavirus-map-cases-houston-covid-19-15137466.php

http://www.vdh.virginia.gov/coronavirus/

Total Cases 779 Currently Hospitalized 32 Hospitalized Under Investigation 24 Deaths 35 Total Tests 12,116 People Being Monitored 29 People Completed Monitoring 804 https://www.healthvermont.gov/response/coronavirus-covid-19/current-activity-vermont

Status Number (%) of People as of 4/17/2020 Negative Test Results 42,365 Positive Test Results 4,045 Hospitalizations 1,153 (29%) Deaths 205 https://www.dhs.wisconsin.gov/covid-19/data.htm

https://health.wyo.gov/publichealth/infectious-disease-epidemiology-unit/disease/novel-coronavirus/covid-19-map-and-statistics/

https://dhhr.wv.gov/COVID-19/Pages/default.aspx