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niman

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  1. https://www.azdhs.gov/preparedness/epidemiology-disease-control/infectious-disease-epidemiology/index.php#novel-coronavirus-home
  2. Positive Cases 1,209 New Castle County: 701 positive cases Kent County: 214 positive cases Sussex County: 294 positive cases https://coronavirus.delaware.gov/
  3. Arkansas Totals Cumulative Cases 1,164 Last update: a few seconds ago Recoveries 307 Last update: a few seconds ago Deaths 21 Last update: a few secon https://adem.maps.arcgis.com/apps/opsdashboard/index.html#/f533ac8a8b6040e5896b05b47b17a647
  4. Media Statement For Immediate Release Thursday, April 9, 2020 Contact: CDC Media Relations (404) 639-3286 CDC Announces Modifications and Extension of No Sail Order for All Cruise Ships The Centers for Disease Control and Prevention (CDC) announced today the extension of a No Sail Order for all cruise ships. “We are working with the cruise line industry to address the health and safety of crew at sea as well as communities surrounding U.S. cruise ship points of entry,” said CDC Director Robert Redfield. “The measures we are taking today to stop the spread of COVID-19 are necessary to protect Americans, and we will continue to provide critical public health guidance to the industry to limit the impacts of COVID-19 on its workforce throughout the remainder of this pandemic.” The No Sail Order reinforces the strong action by President Donald J. Trump and the White House Coronavirus Task Force to combat the spread of COVID-19 in the United States. President Trump acted early and decisively to implement travel restrictions on foreign nationals who had recently been to China and Europe and by issuing the 30 Days to Slow the Spread guidelines. These containment and mitigation strategies have been a critical component of the United States COVID-19 response, but despite these efforts, cruise ship travel markedly increases the risk and impact of the COVID-19 outbreak within the United States. In recent weeks, at least 10 cruise ships reported crew or passengers that tested positive or experienced respiratory symptoms or influenza-like illness. Currently, there are approximately 100 cruise ships remaining at sea off the East Coast, West Coast, and Gulf Coast, with nearly 80,000 crew onboard. Additionally, CDC is aware of 20 cruise ships at port or anchorage in the United States with known or suspected COVID-19 infection among the crew who remain onboard. There are several public health concerns when crew members become ill while onboard the cruise ships. As we have seen with the passenger illness response on cruise ships, safely evacuating, triaging, and repatriating cruise ship crew has involved complex logistics, incurs financial costs at all levels of government, and diverts resources away from larger efforts to suppress or mitigate COVID-19. The addition of further COVID-19 cases from cruise ships also places healthcare workers at substantial increased risk. Some of these ships off the coast of the United States have crew that are not critical to maintain the seaworthiness or basic safe operation of the cruise ships, such as the vessel’s hotel and hospitality staff. The U.S. Government remains committed to humanitarian medevac for individuals in dire need of life-saving support. The CDC, the U.S. Coast Guard, and the Department of Homeland Security have been working with the industry to determine the most appropriate public health strategy to limit the impact of COVID-19 at cruise ship ports of entry in the United States. Cruise Lines International Association (CLIA) voluntarily suspended cruise ship operations in March in conjunction with the earlier No Sail Order issued March 14. The industry has since been working to build an illness response framework to combat COVID-19 on ships with international crew members who remain on board and at sea. This order ceases operations of cruise ships in waters in which the United States may exert jurisdiction and requires that they develop a comprehensive, detailed operational plan approved by CDC and the USCG to address the COVID-19 pandemic through maritime focused solutions, including a fully implementable response plan with limited reliance on state, local, and federal government support. These plans would help prevent, mitigate, and respond to the spread of COVID-19, by: monitoring of passengers and crew medical screenings; training crew on COVID-19 prevention; managing and responding to an outbreak on board; and submitting a plan to USCG and CDC for review This Order shall continue in operation until the earliest of three situations. First, the expiration of the Secretary of Health and Human Services’ declaration that COVID-19 constitutes a public health emergency. Second, the CDC Director rescinds or modifies the order based on specific public health or other considerations. Or third, 100 days from the date of publication in the Federal Register. Additional information in the order includes: Cruise ship operators are not allowed to disembark travelers (passengers or crew) at ports or stations, except as directed by the USCG, in consultation with HHS/CDC personnel, and as appropriate, as coordinated with federal, state, and local authorities. Cruise ship operators should not embark or re-embark any crew member, except as approved by the USCG, in consultation with HHS/CDC personnel, until further notice. While in port, cruise ship operators shall observe health precautions directed by HHS/CDC personnel. The cruise ship operator should comply with all HHS/CDC, USCG, and other federal agency instructions to follow CDC recommendations and guidance for any public health actions relating to passengers, crew, ship, or any article or thing onboard the ship, as needed, including by making ship’s manifests and logs available and collecting any specimens for COVID-19 testing. For more information about COVID-19 and cruise ships, please visit https://www.cdc.gov/coronavirus/2019-ncov/travelers/cruise-ship/what-cdc-is-doing.html and to view the no sail order go to https://www.cdc.gov/quarantine/cruise/index.html.
  5. The Centers for Disease Control and Prevention (CDC) announced today the extension of a No Sail Order for all cruise ships.
  6. As of April 09, 2020, a total of 9784 laboratory-confirmed cases of COVID-19 have been reported among Connecticut residents (Figure 1). One thousand four hundred sixty-four patients are currently hospitalized. There have been 380 laboratory-confirmed COVID-19-associated deaths. Day-to-day changes reflect newly reported cases, deaths, and tests that occurred over the last several days to week. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. Hospitalization data were collected by the Connecticut Hospital Association. Deaths* reported to either the OCME or DPH are included in the daily COVID-19 update. Overall Summary Total Change Since Yesterday Laboratory-Confirmed COVID-19 Case 9784 +1003 Laboratory-Confirmed COVID-19-Associated Deaths 380 +45 Patients Currently Hospitalized with COVID-19 1464 +46 Patients tested for COVID-19 33502 +1802 COVID-19 Cases and Associated Deaths by County of Residence As of 04/09/20 12:00pm. Includes patients tested at the State Public Health Laboratory, hospital, and commercial laboratories. County Laboratory-Confirmed COVID-19 Cases Laboratory-Confirmed COVID-19-Associated Deaths Fairfield County 4882 178 Hartford County 1471 75 Litchfield County 315 13 Middlesex County 205 14 New Haven County 2183 78 New London County 139 6 Tolland County 145 13 Windham County 52 1 Pending address validation 392 2 Total 9784 380 National COVID-19 statistics and information about preventing spread of COVID-19 are available from the Centers for Disease Control and Prevention. https://portal.ct.gov/-/media/Coronavirus/CTDPHCOVID19summary4092020.pdf?la=en
  7. As of April 08, 2020, a total of 8781 laboratory-confirmed cases of COVID-19 have been reported among Connecticut residents (Figure 1). One thousand four hundred eighteen patients are currently hospitalized. There have been 335 laboratory-confirmed COVID-19-associated deaths. New in today's update are two graphs that show the rate of cases and deaths per 100,000 population by race and ethnicity (page 14). Day-to-day changes reflect newly reported cases, deaths, and tests that occurred over the last several days to week. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. Hospitalization data were collected by the Connecticut Hospital Association. Deaths* reported to either the OCME or DPH are included in the daily COVID-19 update. *For public health surveillance, laboratory-confirmed COVID-19-associated deaths are defined as patients who tested positive for COVID-19 around the time of death; this is not a determination of the cause of death. Overall Summary Total Change Since Yesterday Laboratory-Confirmed COVID-19 Case 8781 +1000 Laboratory-Confirmed COVID-19-Associated Deaths 335 +58 Patients Currently Hospitalized with COVID-19 1418 +110 Patients tested for COVID-19 31700 +2664 Laboratory-Confirmed COVID-19 Cases and Associated Deaths by County of Residence As of 04/08/20 6:30pm. Includes patients tested at the State Public Health Laboratory, hospital, and commercial laboratories. County Laboratory-Confirmed COVID-19 Cases Laboratory-Confirmed COVID-19-Associated Deaths Fairfield County 4417 155 Hartford County 1290 68 Litchfield County 292 12 Middlesex County 174 9 New Haven County 1945 70 New London County 120 5 Tolland County 128 13 Windham County 49 1 Pending address validation 366 2 Total 8781 335 National COVID-19 statistics and information about preventing spread of COVID-19 are availiable from the Centers for Disease Control and Prevention. https://portal.ct.gov/-/media/Coronavirus/CTDPHCOVID19summary4082020.pdf?la=en
  8. As of April 9, 2020 Confirmed Cases Reported =18941 CATEGORY NUMBER OF CONFIRMED CASES County Barnstable 444 Berkshire 304 Bristol 994 Dukes 9 Essex 2336 Franklin 128 Hampden 1276 Hampshire 177 Middlesex 4045 Nantucket 9 Norfolk 2007 Plymouth 1507 Suffolk 4041 Worcester 1461 Unknown 203 Sex Female 9988 Male 8776 Unknown 177 A ge Group ≤19 years of age 403 20-29 years of age 2408 30-39 years of age 2882 40-49 years of age 2926 50-59 years of age 3562 60-69 years of age 2681 70-79 years of age 1782 ≥ 80 years of age 2292 Unknown 5 Deaths Attributed to COVID-19 503 COVID-19 Cases in Long-Term Care Facilities* Residents/Healthcare workers of LongTerm Care Facilities 1633 Long-Term Care Facilities Reporting At Least One Case of COVID-19 159 Hospitalization Patient was hospitalized 1747 Patient was not hospitalized 5106 Under Investigation 12088 Deaths by Race/Ethnicity Confirmed Cases N (%) Deaths N (%) Hispanic 1315 (7%) 19 (4%) Non-Hispanic White 3151 (17%) 120 (24%) Non-Hispanic Black/African American 992 (5%) 11 (2%) Non-Hispanic Asian 265 (1%) 6 (1%) Non-Hispanic Other4 577 (3%) 9 (2%) Unknown 9797 (52%) 260 (52%) Missing 2844 (15%) 78 (16%) Total 18941 503 Reported Deaths – April 9, 2020 (Dates of Death: 3/30/2020 – 4/9/2020) Sex Age County Preexisting Conditions Hospitalized Female 30s Suffolk Unknown No Female 40s Hampden Yes Yes Male 50s Hampden Unknown Yes Female 50s Suffolk Unknown Yes Male 50s Essex Unknown Yes Male 50s Essex Yes Yes Male 50s Hampden Unknown Unknown Male 60s Norfolk Unknown Yes Female 60s Essex Yes Yes Female 60s Middlesex Yes Unknown Female 60s Essex Yes Unknown Male 60s Middlesex Unknown Yes Male 70s Bristol Yes Yes Male 70s Hampden Unknown Unknown Male 70s Suffolk Unknown Yes Male 70s Bristol Unknown Yes Female 70s Middlesex Unknown Yes Male 70s Hampden Yes Yes Male 70s Essex Yes Yes Male 70s Barnstable No Yes Female 70s Hampden Unknown Yes Female 70s Hampden Unknown Yes Female 70s Bristol Yes Yes Male 70s Hampden Yes Yes Female 70s Middlesex Unknown Unknown Female 70s Plymouth Unknown Unknow n Female 70s Middlesex Unknown No Male 80s Middlesex Unknown Yes Male 80s Middlesex Unknown Yes Female 80s Suffolk Unknown Yes Male 80s Norfolk Yes Yes Female 80s Essex Unknown Unknown Female 80s Suffolk Unknown Yes Female 80s Hampden Yes Yes Male 80s Suffolk Unknown Yes Male 80s Hampden Yes No Male 80s Plymouth Yes Yes Female 80s Bristol Unknown Unknown Female 80s Middlesex Unknown Unknown Female 80s Plymouth Unknown Unknown Male 80s Norfolk Unknown Yes Male 80s Hampden Unknown Unknown Female 80s Bristol Unknown Unknown Male 80s Hampden Yes Yes Female 80s Plymouth Yes Unknown Female 80s Hampden Unknown Unknown Male 80s Middlesex Unknown Unknown Female 80s Norfolk Unknown Unknown Female 80s Norfolk Unknown Yes Female 80s Middlesex Unknown Unknown Female 80s Norfolk Yes Yes Female 90s Norfolk Unknown Unknown Female 90s Middlesex Yes Yes Female 90s Middlesex Unknown No Female 90s Middlesex Yes No Female 90s Plymouth Unknown Unknown Male 90s Franklin Unknown Unknown Male 90s Berkshire Unknown Unknown Male 90s Hampden Unknown Yes Male 90s Essex Unknown Unknown Male 90s Norfolk Unknown Yes Male 90s Hampden Yes Unknown Female 90s Norfolk Yes No Male 90s Essex Yes No Female 90s Norfolk Unknown Unknown Female 90s Essex Yes Yes Female 90s Plymouth Unknown Unknown Female 90s Hampden Yes No Male 90s Hampden Yes No Male 90s Worcester Unknown Yes Laboratory Total Patients Positive Total Patients Tested MA State Public Health Laboratory 1397 8626 ARUP Laboratories 17 185 Baystate Medical Center 126 491 Bedford Research Foundation 97 537 Beth Israel Deaconess Medical Center 1414 6868 BioReference Laboratories 16 51 Boston Medical Center 680 1428 BROAD Institute CRSP 1905 6893 Centers for Disease Control and Prevention 1 10 Children’s Hospital Boston 20 347 CVS 122 941 East Side Clinical Laboratory 25 154 Genesys Diagnostics 274 648 Harrington Memorial Hospital 7 39 LabCorp 1618 7415 Mayo Clinic Labs 443 2343 Orig3n 16 40 Partners Healthcare 1502 6719 Quest Laboratories 7606 43675 South Shore Hospital 28 150 Steward Health Care 236 568 Tufts Medical Center 994 4085 UMASS Memorial Medical Center 224 1232 VA Boston Healthcare System 16 17 Viracor 80 1280 Other 77 216 Total Patients Tested* 18941 94958 https://www.mass.gov/doc/covid-19-cases-in-massachusetts-as-of-april-9-2020/download
  9. As of April 8, 2020 Confirmed Cases Reported =16790 CATEGORY NUMBER OF CONFIRMED CASES County Barnstable 423 Berkshire 281 Bristol 835 Dukes 8 Essex 2103 Franklin 117 Hampden 1081 Hampshire 164 Middlesex 3545 Nantucket 9 Norfolk 1778 Plymouth 1327 Suffolk 3600 Worcester 1296 Unknown 223 Sex Female 8872 Male 7874 Unknown 44 Age Group ≤19 years of age 363 20-29 years of age 2195 30-39 years of age 2603 40-49 years of age 2649 50-59 years of age 3204 60-69 years of age 2398 70-79 years of age 1529 ≥ 80 years of age 1847 Unknown 2 Deaths Attributed to COVID-19 433 Residents/Healthcare workers of LongTerm Care Facilities 1236 Long-Term Care Facilities Reporting At Least One Case of COVID-19 140 Hospitalization Patient was hospitalized 1583 Patient was not hospitalized 4717 Under Investigation 10490 Race/Ethnicity Confirmed Cases N (%) Deaths N (%) Hispanic 1162 (7%) 14 (3%) Non-Hispanic White 2751 (16%) 98 (23%) Non-Hispanic Black/African American 889 (5%) 7 (2%) Non-Hispanic Asian 235 (1%) 6 (1%) Non-Hispanic Other4 506 (3%) 8 (2%) Unknown 8971 (53%) 231 (53%) Missing 2276 (14%) 69 (16%) Total 16790 433 These data are current as of 4/8/2020 and subject to change. The following caveats apply to these data: 1. Information on race and ethnicity is collected and reported by multiple entities and may or may not reflect selfreport by the individual case. 2. If no information is provided by any reporter on a case’s race or ethnicity, DPH classifies it as missing. 3. A classification of unknown indicates the reporter did not know the race and ethnicity of the individual, the individual refused to provide information, or that the originating reporting system does not capture the information. 4. Other indicates multiple races or that the originating reporting system does not capture the information Note: COVID-19 testing is currently conducted by dozens of private laboratories, hospitals, and other partners and the Department of Public Health is working with these organizations to improve data reporting by race and ethnicity, to better understand where, and on whom, the burden of illness is falling so the Commonwealth can respond more effectively. Reported Deaths – April 8, 2020 (Dates of Death: 4/2/2020 – 4/8/2020) Sex Age County Preexisting Conditions Hospitalized Male 40s Bristol Yes Yes Female 50s Worcester Unknown Yes Male 50s Hampden Yes Yes Male 50s Hampden No No Female 50s Essex Unknown Unknown Female 60s Suffolk Unknown Unknown Male 60s Norfolk Yes Yes Female 60s Plymouth Unknown No Female 60s Suffolk Yes Yes Female 70s Hampden Yes Yes Female 70s Bristol Unknown Yes Female 70s Worcester Unknown Yes Female 70s Bristol Unknown Yes Male 70s Bristol Unknown Yes Male 70s Middlesex Yes Yes Male 70s Plymouth Yes Yes Female 70s Bristol Yes Yes Female 70s Plymouth Yes Yes Male 70s Suffolk Yes Yes Male 70s Suffolk Unknown Yes Male 70s Essex Yes Yes Female 70s Middlesex Unknown Unknown Male 70s Plymouth Unknown Unknown Female 70s Norfolk Unknown Yes Female 70s Middlesex Yes Yes Male 70s Hampden Yes Yes Female 70s Bristol Yes Yes Female 70s Essex Unknown Unknown Male 70s Essex Unknown Unknown Female 80s Suffolk Unknown Unknown Male 80s Worcester Unknown Unknown Male 80s Franklin Unknown Yes Male 80s Suffolk Yes Yes Female 80s Worcester Unknown Unknown Female 80s Hampden Yes Yes Male 80s Worcester Unknown Unknown Male 80s Suffolk Unknown Unknown Male 80s Franklin Unknown Unknown Male 80s Norfolk Unknown Unknown Male 80s Middlesex Unknown Yes Female 80s Bristol Yes Yes Female 80s Hampden Yes Yes Female 80s Berkshire Yes Unknown Female 80s Middlesex Yes Yes Female 80s Essex Unknown Yes MASSACHUSETTS DEPARTMENT OF PUBLIC HEALTH Male 80s Essex Unknown Unknown Female 80s Middlesex Unknown Unknown Female 80s Worcester Unknown Unknown Female 80s Middlesex Unknown Unknown Female 80s Essex Unknown Yes Male 80s Norfolk Unknown Yes Male 80s Norfolk Unknown Yes Female 80s Unknown Unknown Unknown Male 80s Hampden Yes No Male 80s Middlesex Unknown No Female 80s Franklin Unknown Unknown Male 80s Middlesex Unknown Yes Female 80s Essex Yes Yes Female 80s Essex Unknown No Female 80s Plymouth Unknown Yes Male 80s Essex Unknown Unknown Male 90s Suffolk Unknown Yes Female 90s Plymouth Yes Unknown Male 90s Essex Unknown Unknown Female 90s Middlesex Unknown Unknown Female 90s Franklin Unknown Unknown Male 90s Norfolk Unknown Unknown Female 90s Plymouth Yes Yes Male 90s Essex Yes No Male 90s Middlesex Unknown Unknown Male 90s Essex Unknown Yes Female 90s Barnstable Unknown Yes Female 90s Berkshire Unknown Yes Female 90s Essex Unknown Unknown Female 90s Essex Unknown Unknown Male 90s Unknown Unknown No Female 100s Hampden Yes Yes Laboratory Total Patients Positive Total Patients Tested MA State Public Health Laboratory 1291 8424 ARUP Laboratories 17 185 Baystate Medical Center 31 295 Bedford Research Foundation 79 460 Beth Israel Deaconess Medical Center 1271 6410 BioReference Laboratories 16 51 Boston Medical Center 600 1310 BROAD Institute CRSP 1431 5991 Centers for Disease Control and Prevention 1 10 Children’s Hospital Boston 17 301 East Side Clinical Laboratory 21 134 Genesys Diagnostics 220 512 LabCorp 1536 7248 Mayo Clinic Labs 441 2315 Orig3n 16 40 Partners Healthcare 1386 6290 Quest Laboratories 6943 40632 Signature Healthcare 13 33 South Shore Hospital 21 122 Steward Health Care 206 485 Tufts Medical Center 849 3636 UMASS Memorial Medical Center 176 990 VA Boston Healthcare System 15 16 Viracor 77 1236 Other 116 385 Total Patients Tested* 16790 87511 https://www.mass.gov/doc/covid-19-cases-in-massachusetts-as-of-april-8-2020/download
  10. Confirmed Cases / Deaths by County County Confirmed Cases Deaths Adams 30 0 Asotin 4 0 Benton 190 18 Chelan 35 2 Clallam 10 0 Clark 186 10 Columbia 1 0 Cowlitz 20 0 Douglas 12 0 Ferry 1 0 Franklin 76 2 Garfield 0 0 Grant 95 2 Grays Harbor 7 0 Island 149 7 Jefferson 27 0 King 3,668 242 Kitsap 117 1 Kittitas 15 1 Klickitat 11 1 Lewis 17 2 Lincoln 1 0 Mason 17 0 Okanogan 12 0 Pacific 0 0 Pend Oreille 1 0 Pierce 759 15 San Juan 12 0 Skagit 169 5 Skamania 2 0 Snohomish 1,651 62 Spokane 220 12 Stevens 6 0 Thurston 77 1 Wahkiakum 2 0 Walla Walla 17 0 Whatcom 236 20 Whitman 12 0 Yakima 394 18 Unassigned 838 0 Total 9,097 421 Number of Individuals Tested Result Number of Individuals Tested Percent of Tests Negative NA NA Positive 9,097 NA Confirmed Cases / Deaths by Age Age Group Percent of Cases Percent of Deaths 0-19 3% 0% 20-39 27% 0% 40-59 35% 7% 60-79 25% 39% 80+ 10% 53% Unknown 0% 0% Confirmed Cases / Deaths by Gender Sex at Birth Percent of Cases Percent of Deaths Female 51% 43% Male 44% 57% Unknown 5% 0% 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
  11. Colorado Case Summary (Updated 4/8/20 at 4:00 p.m.) Note: This summary only includes data through 4/7 and does not reflect cases since then. 5,655 cases* 1,162 hospitalized 54 counties 29,199 people tested** 193 deaths 44 outbreaks at residential and non-hospital health care facilities *The number of cases includes people who have had a test that indicated they were positive for COVID-19. The number of cases also includes epidemiologically-linked cases -- or cases where public health epidemiologists have determined that infection is highly likely because a person exhibited symptoms and had close contact with someone who tested positive. The number of epidemiologically-linked cases represents a very small portion of the reported cases. **The total number of people tested may not include all negative results. Find Colorado COVID-19 Data on CDPHE's Open Data Portal Access the case summary data files https://covid19.colorado.gov/case-data
  12. Total Positive Cases 6,351 Positive tests reflect results from ISDH and results submitted by private laboratories Total Deaths 245 Total Tested 32,133 Number of tests is provisional and reflects only those reported to ISDH. Numbers should not be characterized as a comprehensive total.
  13. By LOS ANGELES TIMES STAFF UPDATED APRIL 9, 12:50 P.M. PACIFIC 19,219 confirmed cases +156 so far today +1,524 yesterday 509 deaths +2 so far today +57 yesterday 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. So far today, 13 of the 56 agencies we’re monitoring have reported new numbers. What we know Totals continue to climb as new cases and deaths are announced each day. Cases have been confirmed in 53 of 58 counties. The largest concentration so far is in Los Angeles County, the state's most populous. California's totals now sit well below New York, though some experts say this may be due partly to bottlenecks in testing. To combat the virus' spread, state and local officials have shuttered much of the government and economy. More: Latest news Symptoms How it spreads Get the 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.? Who has died? How many tests have been run? What is closed or restricted? How does California compare? 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 8 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. 105,00010,00015,00020,000State 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. 105001,0001,5007-dayaverage7-dayaverage Deaths by day Feb. 1Feb. 15Mar. 1Mar. 15Apr. 102040607-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 case10152025301020501002005001,0002,0005,0007,000Doublingevery dayDoublingevery dayEvery2 daysEvery2 daysEvery3 daysEvery3 daysEvery weekEvery weekMercedMercedRiversideRiversideShastaShastaTulareTulareSan BernardinoSan BernardinoYoloYoloStanislausStanislausLos AngelesLos AngelesSolanoSolanoFresnoFresnoAlamedaAlamedaKernKernSacramentoSacramentoImperialImperialHumboldtHumboldtEl DoradoEl DoradoVenturaVenturaSutterSutterSanta CruzSanta CruzSanta ClaraSanta ClaraMontereyMontereyMarinMarinInyoInyoMonoMono 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. Subscribe. Your subscriptions make our reporting possible. Get full access for just $1 for the first four weeks. Already a subscriber? Your contribution is helping us maintain this developing report. 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. Confirmed cases16018048010101380 Hover for more information. Los Angeles San Francisco Sacramento San Diego Redding 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. County Deaths Cases New cases (3-day average) 15102050100200+ Los Angeles 200 7,573 Mar. 1April 5 San Diego 36 1,530 Santa Clara 46 1,380 Riverside 32 1,179 Orange 17 1,016 San Francisco 10 724 Alameda 16 674 San Bernardino 20 641 San Mateo 21 633 Sacramento 22 613 Contra Costa 8 484 Kern 2 306 Ventura 7 263 San Joaquin 14 238 Santa Barbara 2 228 Tulare 10 187 Fresno 3 156 Marin 10 149 Sonoma 1 136 Placer 4 120 Solano 2 112 San Luis Obispo 1 102 Stanislaus 0 95 Santa Cruz 1 80 Imperial 3 75 Monterey 3 69 Yolo 3 67 Humboldt 0 50 Merced 3 40 Nevada 1 34 San Benito 2 33 El Dorado 0 29 Madera 1 28 Napa 2 28 Shasta 3 24 Sutter 2 20 Mono 1 20 Yuba 0 15 Butte 0 13 Inyo 0 11 Kings 0 8 Amador 0 7 Calaveras 0 5 Mendocino 0 4 Siskiyou 0 4 Colusa 0 3 Plumas 0 3 Lake 0 3 Del Norte 0 2 Glenn 0 2 Tehama 0 1 Alpine 0 1 Tuolumne 0 1 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 783 Long Beach Los Angeles 285 Melrose Los Angeles 168 Glendale Los Angeles 166 Chula Vista San Diego 133 Riverside Riverside 128 Bakersfield West Kern 123 Santa Clarita Los Angeles 122 Moreno Valley Riverside 121 Bakersfield East Kern 117 Torrance Los Angeles 111 Hollywood Los Angeles 109 Other/Unknown San Diego 105 Anaheim Orange 104 Carson Los Angeles 104 North Hollywood Los Angeles 103 Yucaipa San Bernardino 100 West Hollywood Los Angeles 98 Inglewood Los Angeles 92 Irvine Orange 89 El Cajon San Diego 88 Sylmar Los Angeles 86 Downey Los Angeles 84 Burbank Los Angeles 83 Fontana San Bernardino 81 Santa Monica Los Angeles 81 Pasadena Los Angeles 80 Newport Beach Orange 78 South Gate Los Angeles 76 Santa Ana Orange 74 Huntington Beach Orange 73 Lancaster Los Angeles 73 Redondo Beach Los Angeles 73 Other/Unknown Orange 72 Beverly Hills Los Angeles 71 Palmdale Los Angeles 65 Sherman Oaks Los Angeles 64 Silver Lake Los Angeles 64 East Los Angeles Los Angeles 64 Simi Valley Ventura 61 Van Nuys Los Angeles 61 Palm Springs Riverside 60 Lompoc Santa Barbara 60 Santa Maria Santa Barbara 59 Norwalk Los Angeles 58 Indio Riverside 58 Hawthorne Los Angeles 55 Woodland Hills Los Angeles 55 Temecula Riverside 54 Canoga Park Los Angeles 53 Reseda Los Angeles 53 Corona Riverside 52 Brentwood Los Angeles 52 Manhattan Beach Los Angeles 52 Lynwood Los Angeles 51 Palm Desert Riverside 51 Panorama City Los Angeles 51 West Vernon Los Angeles 50 Palms Los Angeles 50 Oxnard Ventura 49 San Bernardino San Bernardino 48 Murrieta Riverside 47 Boyle Heights Los Angeles 47 Banning Riverside 46 Perris Riverside 46 Rancho Cucamonga San Bernardino 46 Hancock Park Los Angeles 45 Compton Los Angeles 44 Encino Los Angeles 44 Pacoima Los Angeles 44 Glassell Park Los Angeles 44 Valley Kern 44 Redlands San Bernardino 44 Hollywood Hills Los Angeles 43 Carlsbad San Diego 43 Pico Rivera Los Angeles 43 Bellflower Los Angeles 42 Gardena Los Angeles 42 Unincorporated Florence-Firestone Los Angeles 42 San Clemente Orange 41 Menifee Riverside 41 Pomona Los Angeles 40 Coachella Riverside 40 Thousand Oaks Ventura 40 Granada Hills Los Angeles 40 Westlake Los Angeles 40 Koreatown Los Angeles 39 Winnetka Los Angeles 39 Tarzana Los Angeles 38 Pico-Union Los Angeles 37 Spring Valley San Diego 37 Cathedral City Riverside 37 Temple-Beaudry Los Angeles 37 Lakewood Los Angeles 37 Exposition Park Los Angeles 36 Huntington Park Los Angeles 36 Florence-Firestone Los Angeles 36 San Pedro Los Angeles 36 Rancho Palos Verdes Los Angeles 35 Escondido San Diego 35 West Los Angeles Los Angeles 35 Laguna Beach Orange 34 Undetermined San Bernardino 34 Lake Elsinore Riverside 34 Orange Orange 34 Oceanside San Diego 34 Santa Barbara Santa Barbara 33 Wilshire Center Los Angeles 33 North Hills Los Angeles 33 Central Los Angeles 32 Valley Village Los Angeles 32 Yorba Linda Orange 32 Whittier Los Angeles 32 Camarillo Ventura 32 Encinitas San Diego 32 Eastvale Riverside 31 Altadena Los Angeles 31 Ontario San Bernardino 31 Mar Vista Los Angeles 31 Pacific Palisades Los Angeles 31 Crestview Los Angeles 31 Buena Park Orange 31 Vernon Central Los Angeles 30 Montebello Los Angeles 30 Palos Verdes Estates Los Angeles 30 Westwood Los Angeles 30 Lake Balboa Los Angeles 30 Northridge Los Angeles 30 West Adams Los Angeles 30 Chatsworth Los Angeles 30 Cerritos Los Angeles 29 Paso Robles San Luis Obispo 29 Venice Los Angeles 29 Culver City Los Angeles 29 Eagle Rock Los Angeles 29 Del Rey Los Angeles 29 Valley Glen Los Angeles 29 Westchester Los Angeles 28 Carthay Los Angeles 28 Covina Los Angeles 28 Paramount Los Angeles 28 Garden Grove Orange 28 La Quinta Riverside 28 National City San Diego 28 Bell Los Angeles 28 Athens-Westmont Los Angeles 27 Rialto San Bernardino 27 Mission Viejo Orange 27 South Park Los Angeles 27 Baldwin Hills Los Angeles 26 Alhambra Los Angeles 26 Sun Valley Los Angeles 26 Little Bangladesh Los Angeles 26 La Mesa San Diego 26 Harbor Gateway Los Angeles 26 Beverly Crest Los Angeles 26 Chino Hills San Bernardino 25 Victorville San Bernardino 25 Laguna Niguel Orange 25 El Sereno Los Angeles 24 Orcutt Santa Barbara 24 Highland Park Los Angeles 24 Porter Ranch Los Angeles 24 Vista San Diego 24 Century City Los Angeles 23 Hacienda Heights Los Angeles 23 East Hollywood Los Angeles 23 Beaumont Riverside 23 Monterey Park Los Angeles 23 Downtown Los Angeles 23 Fullerton Orange 23 Cypress Orange 23 Ventura Ventura 23 El Monte Los Angeles 23 West Carson Los Angeles 23 South Whittier Los Angeles 22 Lawndale Los Angeles 22 Studio City Los Angeles 22 University Park Los Angeles 22 Wilmington Los Angeles 22 Placentia Orange 22 Harvard Park Los Angeles 22 Little Armenia Los Angeles 22 Highland San Bernardino 22 Chino San Bernardino 22 Mid-city Los Angeles 21 Century Palms/Cove Los Angeles 21 Harbor City Los Angeles 21 Sunland Los Angeles 21 Hesperia San Bernardino 21 Wildomar Riverside 21 Leimert Park Los Angeles 21 West Hills Los Angeles 21 Costa Mesa Orange 21 Upland San Bernardino 21 Hemet Riverside 21 Watts Los Angeles 20 Los Feliz Los Angeles 20 La Habra Orange 20 Bel Air Los Angeles 20 Calabasas Los Angeles 20 Arleta Los Angeles 20 South Carthay Los Angeles 20 Jurupa Valley Riverside 20 San Marcos San Diego 20 Atascadero San Luis Obispo 20 Maywood Los Angeles 20 Miracle Mile Los Angeles 19 Agoura Hills Los Angeles 19 Tustin Orange 19 Cudahy Los Angeles 19 Beverlywood Los Angeles 19 Willowbrook Los Angeles 19 Hermosa Beach Los Angeles 18 Vermont Vista Los Angeles 18 San Juan Capistrano Orange 18 Rancho Mirage Riverside 18 Glendora Los Angeles 17 Moorpark Ventura 17 La Mirada Los Angeles 17 Arcadia Los Angeles 17 West Covina Los Angeles 17 Bell Gardens Los Angeles 17 Lennox Los Angeles 17 San Fernando Los Angeles 16 La Canada Flintridge Los Angeles 16 Lake Forest Orange 16 Wholesale District Los Angeles 16 South County Santa Barbara 16 Poway San Diego 16 Country Club Park Los Angeles 16 Santee San Diego 16 Hyde Park Los Angeles 15 North County Santa Barbara 15 San Dimas Los Angeles 15 Vermont Knolls Los Angeles 15 Adams-Normandie Los Angeles 15 Fountain Valley Orange 15 Lincoln Heights Los Angeles 14 Lemon Grove San Diego 14 Lakeside San Diego 14 Westminster Orange 14 Victoria Park Los Angeles 14 Rancho Santa Fe San Diego 14 La Puente Los Angeles 14 Azusa Los Angeles 14 Diamond Bar Los Angeles 14 Lakeview Terrace Los Angeles 14 Arroyo Grande San Luis Obispo 14 View Park/Windsor Hills Los Angeles 14 Tujunga Los Angeles 13 Walnut Park Los Angeles 13 Bonita San Diego 13 Mission Hills Los Angeles 13 Other San Luis Obispo 13 Lomita Los Angeles 13 Monrovia Los Angeles 13 Loma Linda San Bernardino 13 French Valley Riverside 13 Historic Filipinotown Los Angeles 12 Ladera Heights Los Angeles 12 Crenshaw District Los Angeles 12 Vermont Square Los Angeles 12 Baldwin Park Los Angeles 12 Harvard Heights Los Angeles 12 Unincorporated Covina Los Angeles 12 Colton San Bernardino 12 San Gabriel Los Angeles 12 La Palma Orange 11 Temple City Los Angeles 11 Canyon Country Los Angeles 11 Desert Hot Springs Riverside 11 Laguna Hills Orange 11 Cheviot Hills Los Angeles 11 Green Meadows Los Angeles 11 Mt. Washington Los Angeles 11 Aliso Viejo Orange 11 Dana Point Orange 11 South Pasadena Los Angeles 11 Playa Vista Los Angeles 10 Goleta Valley & Gaviota Santa Barbara 10 Malibu Los Angeles 10 La Crescenta-Montrose Los Angeles 10 Rosemead Los Angeles 10 Mountain Kern 10 West Whittier/Los Nietos Los Angeles 10 Ramona San Diego 10 Walnut Los Angeles 10 Stevenson Ranch Los Angeles 10 Rowland Heights Los Angeles 10 San Jacinto Riverside 10 Cloverdale/Cochran Los Angeles 10 El Sobrante Riverside 10 Atwater Village Los Angeles 9 Park La Brea Los Angeles 9 Oak Park Ventura 9 Mead Valley Riverside 9 Imperial Beach San Diego 9 Desert Kern 9 Indian Wells Riverside 9 Echo Park Los Angeles 9 Del Mar San Diego 8 Rolling Hills Estates Los Angeles 8 Barstow San Bernardino 8 Marina Peninsula Los Angeles 8 Westlake Ventura 8 Apple Valley San Bernardino 8 Rancho Park Los Angeles 8 Rancho Santa Margarita Orange 8 Claremont Los Angeles 8 San Luis Obispo San Luis Obispo 8 Ladera Ranch Orange 8 Thai Town Los Angeles 8 El Segundo Los Angeles 8 East Rancho Dominguez Los Angeles 8 Shadow Hills Los Angeles 7 Trabuco Canyon Orange 7 La Verne Los Angeles 7 Bloomington San Bernardino 7 Gramercy Place Los Angeles 7 Newbury Park Ventura 7 Montclair San Bernardino 7 Valinda Los Angeles 7 Nipomo San Luis Obispo 6 Lafayette Square Los Angeles 6 Templeton San Luis Obispo 6 Elysian Valley Los Angeles 6 Laguna Woods Orange 6 Figueroa Park Square Los Angeles 6 Toluca Lake Los Angeles 6 Morro Bay San Luis Obispo 6 South San Gabriel Los Angeles 6 Fallbrook San Diego 6 Norco Riverside 6 Castaic Los Angeles 6 Temescal Valley Riverside 6 Reseda Ranch Los Angeles 5 Del Aire Los Angeles 5 Elysian Park Los Angeles 5 Anza Riverside 5 Santa Ynez Valley Santa Barbara 5 Athens Village Los Angeles 5 Alta Loma San Bernardino 5 Goleta Santa Barbara 5 Solana Beach San Diego 5 Covina (Charter Oak) Los Angeles 5 Unincorporated Monrovia Los Angeles 5 Northeast San Gabriel Los Angeles 5 Alsace Los Angeles 5 Brea Orange 5 Westlake Village Los Angeles 5 Santa Monica Mountains Los Angeles 5 San Marino Los Angeles 5 Reynier Village Los Angeles 5 Woodcrest Riverside 5 Marina del Rey Los Angeles 5 Coronado San Diego 4 El Cerrito Riverside 4 Santa Paula Ventura 4 Good Hope Riverside 4 Ojai Ventura 4 Canyon Lake Riverside 4 Mentone San Bernardino 4 Mecca Riverside 4 Adelanto San Bernardino 3 Port Hueneme Ventura 3 Big Bear Lake San Bernardino 3 Valley Center San Diego 3 Morongo Valley San Bernardino 3 Idyllwild-Pine Cove Riverside 3 Oasis Riverside 3 Seal Beach Orange 3 Grand Terrace San Bernardino 3 Desert Palms Riverside 3 Jamul San Diego 3 Nuevo Riverside 3 Bermuda Dunes Riverside 3 Yucca Valley San Bernardino 3 Calimesa Riverside 3 Garnet Riverside 3 Ranchita San Diego 2 Thermal Riverside 2 Running Springs San Bernardino 2 Oak Hills San Bernardino 2 Lakeland Village Riverside 2 Pauma Valley San Diego 2 Blue Jay San Bernardino 2 Thousand Palms Riverside 2 Big Bear City San Bernardino 2 East Hemet Riverside 2 Desert Edge Riverside 2 Stanton Orange 2 Blythe Riverside 2 Lake Sherwood Ventura 2 Cherry Valley Riverside 1 Green Acres Riverside 1 Home Gardens Riverside 1 Homeland Riverside 1 Valle Vista Riverside 1 Lake Mathews Riverside 1 Crestline San Bernardino 1 Fort Irwin San Bernardino 1 Joshua Tree San Bernardino 1 Descanso San Diego 1 Isla Vista Santa Barbara 1 Phelan San Bernardino 1 Rimforest San Bernardino 1 Sky Valley Riverside 1 Borrego Springs San Diego 1 Alpine San Diego 1 Wrightwood San Bernardino 1 Somis Ventura 1 Santa Rosa Valley Ventura 1 Piru Ventura 1 Oak View Ventura 1 Meadowbrook Riverside 1 Unincorporated Hawthorne Los Angeles 1-4 Chinatown Los Angeles 1-4 La Rambla Los Angeles 1-4 Cadillac-Corning Los Angeles 1-4 Unincorporated La Verne Los Angeles 1-4 Lake Los Angeles Los Angeles 1-4 St Elmo Village Los Angeles 1-4 Lake Manor Los Angeles 1-4 Mandeville Canyon Los Angeles 1-4 Manchester Square Los Angeles 1-4 North Whittier Los Angeles 1-4 Longwood Los Angeles 1-4 Agua Dulce Los Angeles 1-4 Quartz Hill Los Angeles 1-4 Unincorporated Azusa Los Angeles 1-4 Little Tokyo Los Angeles 1-4 Rancho Dominguez Los Angeles 1-4 Bassett Los Angeles 1-4 Rosewood Los Angeles 1-4 Santa Catalina Island Los Angeles 1-4 Saugus Los Angeles 1-4 Wiseburn Los Angeles 1-4 South El Monte Los Angeles 1-4 Sun Village Los Angeles 1-4 Toluca Woods Los Angeles 1-4 Sunrise Village Los Angeles 1-4 Jefferson Park Los Angeles 1-4 Signal Hill Los Angeles 1-4 View Heights Los Angeles 1-4 Sierra Madre Los Angeles 1-4 Santa Fe Springs Los Angeles 1-4 Twin Lakes/Oat Mountain Los Angeles 1-4 Playa Del Rey Los Angeles 1-4 Acton Los Angeles 1-4 Faircrest Heights Los Angeles 1-4 Valencia Los Angeles 1-4 Rolling Hills Los Angeles 1-4 Desert View Highlands Los Angeles 1-4 Regent Square Los Angeles 1-4 West Antelope Valley Los Angeles 1-4 East La Mirada Los Angeles 1-4 La Habra Heights Los Angeles 1-4 Industry Los Angeles 1-4 Unincorporated West L.A. Los Angeles 1-4 Palisades Highlands Los Angeles 1-4 Hawaiian Gardens Los Angeles 1-4 East Whittier Los Angeles 1-4 Duarte Los Angeles 1-4 West Puente Valley Los Angeles 1-4 El Camino Village Los Angeles 1-4 West Rancho Dominguez Los Angeles 1-4 Artesia Los Angeles 1-4 Unincorporated Whittier Los Angeles 1-4 Littlerock/Pearblossom 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 285 Melrose 168 Glendale 166 Santa Clarita 122 Torrance 111 Show all The highest rates thus far have come from predominantly white, affluent areas on the Westside. Experts say this is likely skewed by uneven access to testing, and in some instances by wealthy residents who traveled internationally. Who has died? Information is limited about the 509 people who have have died in California. So far, more men have been reported dead than women, but public health officials have not released the gender of most victims. Undisclosed 413 Men 61 Women 36 When an age has been disclosed, the victim has tended to be older. Unknown 206 Older than 60 240 Younger than 60 63 Victims have come from 33 of the state's 58 counties. Los Angeles County has reported the most so far. Male Female Undisclosed Los Angeles 200 deaths Santa Clara 46 deaths San Diego 36 deaths Riverside 32 deaths Sacramento 22 deaths San Mateo 21 deaths San Bernardino 20 deaths Orange 17 deaths Alameda 16 deaths San Joaquin 14 deaths Marin 10 deaths Tulare 10 deaths San Francisco 10 deaths Contra Costa 8 deaths Ventura 7 deaths Placer 4 deaths Monterey 3 deaths Yolo 3 deaths Fresno 3 deaths Imperial 3 deaths Merced 3 deaths Shasta 3 deaths Solano 2 deaths San Benito 2 deaths Santa Barbara 2 deaths Napa 2 deaths Kern 2 deaths Sutter 2 deaths Nevada 1 death Sonoma 1 death Mono 1 death Madera 1 death Santa Cruz 1 death San Luis Obispo 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 168,800. Cumulative tests conducted by day Feb. 1Feb. 15Mar. 1Mar. 15Apr. 1020,00040,00060,00080,000100,000120,000140,000160,000180,000Data releasebeginsMore labscountedOvercountcorrectedNewsom vows'new day' California Department of Public Health Last week, 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. 1020,00040,00060,00080,000100,000120,000140,000160,000180,000 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/
  14. Coronavirus Disease 2019 (COVID-19) in Illinois Test Results Positive 16,422 Deaths 528 Total Tests Performed* 80,857 *Total tests performed and reported electronically for testing of COVID-19 at IDPH, commercial or hospital laboratories. Deaths are included in the number of positive cases http://www.dph.illinois.gov/topics-services/diseases-and-conditions/diseases-a-z-list/coronavirus All numbers displayed are provisional and subject to change. Information last updated on 4/9/2020. Information to be updated daily.
  15. This information is updated daily at 3 p.m., with COVID-19 results included as of 10 a.m.. Overall Confirmed COVID-19 Cases by County updated 4/9/2020 County Cases Reported Deaths Allegan 18 Antrim 6 Arenac 4 Barry 7 Bay 42 Berrien 80 2 Branch 24 1 Calhoun 57 1 Cass 10 1 Charlevoix 9 Cheboygan 10 1 Chippewa 1 Clare 2 Clinton 85 1 Crawford 5 1 Delta 9 1 Detroit City 6061 275 Dickinson 3 1 Eaton 69 3 Emmet 16 2 Genesee 755 48 Gladwin 4 Gogebic 3 1 Grand Traverse 15 3 Gratiot 6 Hillsdale 64 6 Houghton 1 Huron 5 Ingham 222 3 Ionia 13 1 Iosco 4 1 Isabella 28 2 Jackson 131 4 Kalamazoo 74 6 Kalkaska 10 2 Kent 233 9 Lapeer 77 5 Leelanau 4 Lenawee 39 Livingston 181 2 Luce 1 Mackinac 4 Macomb 2783 165 Manistee 9 Marquette 18 2 Mason 1 Mecosta 9 1 Midland 28 1 Missaukee 1 1 Monroe 165 1 Montcalm 19 1 Muskegon 53 4 Newaygo 3 Oakland 4247 246 Oceana 3 1 Ogemaw 3 Osceola 3 Oscoda 3 Otsego 29 2 Ottawa 59 1 Presque Isle 1 Roscommon 8 Saginaw 205 7 Sanilac 21 2 Schoolcraft 1 Shiawassee 31 St Clair 162 4 St Joseph 18 Tuscola 36 3 Van Buren 18 1 Washtenaw 637 15 Wayne 4032 229 Wexford 7 Other* 290 4 Unknown 78 1 Out of State 131 1 Totals 21504 1076 *MDOC City of Detroit and Wayne County are reported separately. 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 county classification: For consistency with previous outbreak reporting methodology, the Michigan Department of Corrections (MDOC) has been added as a separate jurisdiction under the "Other" category. This has resulted in the reclassification of some confirmed cases previously indicated among county case counts. https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173---,00.html
  16. COVID-19 Confirmed Cases: No. Cases (%) Total 10566 (100%) Hospitalized 2159(20.43%) Deaths 379 (3.59%) COVID-19 Confirmed Cases By County: No. Cases No. Deaths Fulton 1276 45 Dougherty 1020 62 Dekalb 742 12 Cobb 629 29 Gwinnett 603 17 Clayton 297 11 Hall 238 0 Henry 225 3 Lee 212 14 Bartow 196 12 Sumter 190 5 Carroll 183 4 Cherokee 159 6 Chatham 131 4 Douglas 127 5 Mitchell 116 14 Early 105 5 Forsyth 104 2 Houston 103 7 Floyd 99 4 Muscogee 98 2 Terrell 96 9 Randolph 91 4 Fayette 89 3 Rockdale 85 2 Coweta 84 2 Richmond 84 4 Clarke 81 9 Colquitt 78 5 https://dph.georgia.gov/covid-19-daily-status-report
  17. CONFIRMED CASES 2,721 TOTAL TESTED 20,605 REPORTED DEATHS 72 https://alpublichealth.maps.arcgis.com/apps/opsdashboard/index.html#/6d2771faa9da4a2786a509d82c8cf0f7
  18. Alachua (150 Cases) Baker (16 Cases) Bay (30 Cases) Bradford (20 Cases) Brevard (106 Cases) Broward (2,454 Cases) Calhoun (4 Cases) Charlotte (79 Cases) Citrus (57 Cases) Clay (103 Cases) Collier (292 Cases) Columbia (17 Cases) Dade (5,745 Cases) Desoto (19 Cases) Dixie (1 Cases) Duval (589 Cases) Escambia (184 Cases) Flagler (37 Cases) Franklin (2 Cases) Gadsden (10 Cases) Gilchrist (3 Cases) Glades (4 Cases) Gulf (1 Cases) Hamilton (1 Cases) Hardee (3 Cases) Hendry (11 Cases) Hernando (58 Cases) Highlands (45 Cases) Hillsborough (644 Cases) Holmes (2 Cases) Indian River (68 Cases) Jackson (5 Cases) Jefferson (8 Cases) Lafayette (1 Cases) Lake (139 Cases) Lee (496 Cases) Leon (74 Cases) Levy (6 Cases) Liberty (0 Cases) Madison (12 Cases) Manatee (175 Cases) Marion (72 Cases) Martin (109 Cases) Monroe (52 Cases) Nassau (30 Cases) Okaloosa (80 Cases) Okeechobee (5 Cases) Orange (857 Cases) Osceola (295 Cases) Palm Beach (1,260 Cases) Pasco (128 Cases) Pinellas (413 Cases) Polk (212 Cases) Putnam (25 Cases) Santa Rosa (71 Cases) Sarasota (190 Cases) Seminole (228 Cases) St. Johns (162 Cases) St. Lucie (132 Cases) Sumter (98 Cases) Suwannee (54 Cases) Taylor (1 Cases) Union (2 Cases) Unknown (2 Cases) Volusia (179 Cases) Wakulla (7 Cases) Walton (26 Cases) https://experience.arcgis.com/experience/96dd742462124fa0b38ddedb9b25e429 Washington (3 Cases)
  19. Bergen County 7,874 Middlesex County 4,156 Monmouth County 3,038 Essex County 5,598 Hudson County 5,437 Burlington County 801 Morris County 2,486 Camden County 838 Passaic County 4,372 Mercer County 992 Ocean County 2,856 Somerset County 1,189 Union County 4,831 Hunterdon County 255 Warren County 289 Sussex County 357 Cape May County 100 Gloucester County 340 Cumberland County 80 Atlantic County 168 Salem County 36 Under Investigation 1,362 New Jersey State Total 51,027 New Jersey Deaths 1,700 https://www.nbcnewyork.com/news/local/how-many-in-tri-state-have-tested-positive-for-coronavirus-here-are-latest-cases-by-the-numbers/2317721/
  20. Deaths Pending Further Information Bergen County: 8,343 Positive Test Results 345 Deaths Essex County: 6,069 Positive Test Results 312 Deaths Hudson County: 5,879 Positive Test Results 132 Deaths Union County: 5,203 Positive Test Results 145 Deaths Passaic County: 4,690 Positive Test Results 82 Deaths Middlesex County: 4,628 Positive Test Results 152 Deaths Monmouth County: 3,248 Positive Test Results 98 Deaths Ocean County: 3,093 Positive Test Results 119 Deaths Morris County: 2,645 Positive Test Results 117 Deaths Somerset County: 1,335 Positive Test Results 59 Deaths Mercer County: 1,161 Positive Test Results 36 Deaths Camden County: 990 Positive Test Results 23 Deaths Burlington County: 883 Positive Test Results 21 Deaths Gloucester County: 413 Positive Test Results 8 Deaths Sussex County: 392 Positive Test Results 21 Deaths Warren County: 319 Positive Test Results 1 Deaths Hunterdon County: 286 Positive Test Results 4 Deaths Atlantic County: 191 Positive Test Results 4 Deaths Cumberland County: 111 Positive Test Results 3 Deaths Cape May County: 109 Positive Test Results 3 Deaths Salem County: 43 Positive Test Results 3 Deaths https://www.nj.gov/health/cd/topics/covid2019_dashboard.shtml
  21. New York City 87,028 Albany County 379 Allegany County 22 Broome County 105 Cattaraugus County 17 Cayuga County 16 Chautauqua County 18 Chemung County 59 Chenango County 55 Clinton County 40 Columbia County 70 Cortland County 16 Delaware County 37 Dutchess County 1,493 Erie County 1,362 Essex County 8 Franklin County 11 Fulton County 15 Genesee County 56 Greene County 28 Hamilton County 3 Herkimer County 32 Jefferson County 42 Lewis County 6 Livingston County 26 Madison County 91 Monroe County 698 Montgomery County 28 Nassau County 20,140 Niagara County 146 Oneida County 158 Onondaga County 358 Ontario County 43 Orange County 4,090 Orleans County 22 Oswego County 36 Otsego County 39 Putnam County 438 Rensselaer County 79 Rockland County 6,665 Saratoga County 172 Schenectady County 167 Schoharie County 12 Schuyler County 4 Seneca County 15 St. Lawrence County 76 Steuben County 89 Suffolk County 17,413 Sullivan County 294 Tioga County 17 Tompkins County 105 Ulster County 460 Warren County 40 Washington County 25 Wayne County 39 Westchester County 17,004 Wyoming County 29 Yates County 1 New York State Total 159,937 New York State Deaths 7,067 https://www.nbcnewyork.com/news/local/how-many-in-tri-state-have-tested-positive-for-coronavirus-here-are-latest-cases-by-the-numbers/2317721/
  22. COVID-19 Data for Pennsylvania* Negative Positive Deaths 87,374 18,228 338 * Map, tables and case counts last updated at 12:00 p.m. on 4/9/2020 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 7% 25-49 41% 50-64 29% 65+ 21% * Percentages may not total 100% due to rounding Hospitalizations by Age Range to Date Age Range Percent of Cases 0-4 < 1% 5-12 < 1% 13-18 < 1% 19-24 1% 25-49 19% 50-64 29% 65+ 51% * Percentages may not total 100% due to rounding County Case Counts to Date County Number of Cases Deaths Adams 38 1 Allegheny 759 12 Armstrong 20 Beaver 129 13 Bedford 4 Berks 616 8 Blair 6 Bradford 15 Bucks 871 23 Butler 113 2 Cambria 10 1 Cameron 1 Carbon 83 2 Centre 59 Chester 425 7 Clarion 8 Clearfield 7 Clinton 4 Columbia 65 2 Crawford 13 Cumberland 88 2 Dauphin 180 2 Delaware 1222 26 Elk 2 Erie 32 Fayette 45 1 Forest 5 Franklin 52 Fulton 1 Greene 21 Huntingdon 8 Indiana 21 Jefferson 1 Juniata 23 Lackawanna 312 16 Lancaster 596 17 Lawrence 37 2 Lebanon 187 Lehigh 1466 13 Luzerne 1241 12 Lycoming 17 McKean 1 Mercer 30 Mifflin 10 Monroe 716 19 Montgomery 1693 37 Montour 25 Northampton 949 20 Northumberland 24 Perry 15 1 Philadelphia 5029 86 Pike 163 6 Potter 3 Schuylkill 149 1 Snyder 9 1 Somerset 7 Sullivan 1 Susquehanna 16 1 Tioga 10 Union 11 Venango 5 Warren 1 Washington 63 Wayne 49 Westmoreland 190 1 Wyoming 6 York 250 3 https://www.health.pa.gov/topics/disease/coronavirus/Pages/Cases.aspx
  23. Majority of New York Coronavirus Cases Came From Europe, Not China: Report ‘PEOPLE WERE JUST OBLIVIOUS’ Barbie Latza Nadeau Correspondent-At-Large Updated Apr. 09, 2020 11:00AM ET / Published Apr. 09, 2020 4:54AM ET Mike Segar/Reuters Research into the genome of the novel coronavirus making New York the new epicenter of the global pandemic shows that the virus was brought to the New York City area in mid-February by travelers coming from Europe, not Asia. The research was conducted by Harm van Bakel, a geneticist at Icahn School of Medicine at Mount Sinai, who said: “The majority is clearly European.” Another team with the New York University Grossman School of Medicine agreed, noting that the previously hidden spread of the virus could have been detected had aggressive testing been put in place, The New York Times reports. The Trump administration barred foreign nationals who had been in China from entering the country, but allowed them to travel from Europe. “People were just oblivious,” said Adriana Heguy, a member of the NYU team.“It was a disaster that we didn’t do testing.” The genome testing has also found that the earlier cases in the U.S. noted in January were not linked to the cluster that is now crippling the country. https://www.thedailybeast.com/coronavirus-cases-in-new-york-mostly-came-from-europe-not-china-says-report?via=newsletter&source=CSAMedition
  24. By Carl Zimmer April 8, 2020 New research indicates that the coronavirus began to circulate in the New York area by mid-February, weeks before the first confirmed case, and that travelers brought in the virus mainly from Europe, not Asia. “The majority is clearly European,” said Harm van Bakel, a geneticist at Icahn School of Medicine at Mount Sinai, who co-wrote a study awaiting peer review. A separate team at N.Y.U. Grossman School of Medicine came to strikingly similar conclusions, despite studying a different group of cases. Both teams analyzed genomes from coronaviruses taken from New Yorkers starting in mid-March. The research revealed a previously hidden spread of the virus that might have been detected if aggressive testing programs had been put in place. On Jan. 31, President Trump barred foreign nationals from entering the country if they had been in China during the prior two weeks. It would not be until late February that Italy would begin locking down towns and cities, and March 11 when Mr. Trump said he would block travelers from most European countries. But New Yorkers had already been traveling home with the virus. “People were just oblivious,” said Adriana Heguy, a member of the N.Y.U. team. Dr. Heguy and Dr. van Bakel belong to an international guild of viral historians. They ferret out the history of outbreaks by poring over clues embedded in the genetic material of viruses taken from thousands of patients. Viruses invade a cell and take over its molecular machinery, causing it to make new viruses. The process is quick and sloppy. As a result, new viruses can gain a new mutation that wasn’t present in their ancestor. If a new virus manages to escape its host and infect other people, its descendants will inherit that mutation. Tracking viral mutations demands sequencing all the genetic material in a virus — its genome. Once researchers have gathered the genomes from a number of virus samples, they can compare their mutations. Sophisticated computer programs can then figure out how all of those mutations arose as viruses descended from a common ancestor. If they get enough data, they can make rough estimates about how long ago those ancestors lived. That’s because mutations arise at a roughly regular pace, like a molecular clock. Image Adeline Danneels, left, a technician, and Sandrine Belouzard, virologist and researcher, at work at the Pasteur Institute of Lille, the first European organization to sequence the coronavirus genome, in February.Credit...Sylvain Lefevre/Getty Images Maciej Boni of Penn State University and his colleagues recently used this method to see where the coronavirus, designated SARS-CoV-2, came from in the first place. While conspiracy theories might falsely claim the virus was concocted in a lab, the virus’s genome makes clear that it arose in bats. There are many kinds of coronaviruses, which infect both humans and animals. Dr. Boni and his colleagues found that the genome of the new virus contains a number of mutations in common with strains of coronaviruses that infect bats. The most closely related coronavirus is in a Chinese horseshoe bat, the researchers found. But the new virus has gained some unique mutations since splitting off from that bat virus decades ago. Dr. Boni said that ancestral virus probably gave rise to a number of strains that infected horseshoe bats, and perhaps sometimes other animals. “Very likely there’s a vast unsampled diversity,” he said. Copying mistakes aren’t the only way for new viruses to arise. Sometimes two kinds of coronaviruses will infect the same cell. Their genetic material gets mixed up in new viruses. It’s entirely possible, Dr. Boni said, in the past 10 or 20 years, a hybrid virus arose in some horseshoe bat that was well-suited to infect humans, too. Later, that virus somehow managed to cross the species barrier. “Once in a while, one of these viruses wins the lottery,” he said. In January, a team of Chinese and Australian researchers published the first genome of the new virus. Since then, researchers around the world have sequenced over 3,000 more. Some are genetically identical to each other, while others carry distinctive mutations. That’s just a tiny sampling of the full diversity of the virus. As of April 8, there were 1.5 million confirmed cases of Covid-19, and the true total is probably many millions more. But already, the genomes of the virus are revealing previously hidden outlines of its history over the past few months. As new genomes come to light, researchers upload them to an online database called GISAID. A team of virus evolution experts are analyzing the growing collection of genomes in a project called Nextstrain. They continually update the virus family tree. The deepest branches of the tree all belong to lineages from China. The Nextstrain team has also used the mutation rate to determine that the virus probably first moved into humans from an animal host in late 2019. On Dec. 31, China announced that doctors in Wuhan were treating dozens of cases of a mysterious new respiratory illness. In January, as the scope of the catastrophe in China became clear, a few countries started an aggressive testing program. They were able to track the arrival of the virus on their territory and track its spread through their populations. But the United States fumbled in making its first diagnostic kits and initially limited testing only to people who had come from China and displayed symptoms of Covid-19. “It was a disaster that we didn’t do testing,” Dr. Heguy said. A few cases came to light starting at the end of January. But it was easy to dismiss them as rare imports that did not lead to local outbreaks. The illusion was dashed at the end of February by Trevor Bedford, an associate professor at the Fred Hutchinson Cancer Research Center and the University of Washington, and his colleagues. Using Nextstrain, they showed that a virus identified in a patient in late February had mutation shared by one identified in Washington on Jan. 20. The Washington viruses also shared other mutations in common with ones isolated in Wuhan, suggesting that a traveler had brought the coronavirus from China. With that discovery, Dr. Bedford and his colleagues took the lead in sequencing coronavirus genomes. Sequencing more genomes around Washington gave them a better view of how the outbreak there got started. “I’m quite confident that it was not spreading in December in the United States,” Dr. Bedford said. “There may have been a couple other introductions in January that didn’t take off in the same way.” As new cases arose in other parts of the country, other researchers set up their own pipelines. The first positive test result in New York came on March 1, and after a couple of weeks, patients surged into the city’s hospitals. “I thought, ‘We need to do this for New York,’” Dr. Heguy said. Dr. Heguy and her colleagues found some New York viruses that shared unique mutations not found elsewhere. “That’s when you know you’ve had a silent transmission for a while,” she said. Dr. Heguy estimated that the virus began circulating in the New York area a couple of months ago. And researchers at Mount Sinai started sequencing the genomes of patients coming through their hospital. They found that the earliest cases identified in New York were not linked to later ones. “Two weeks later, we start seeing viruses related to each other,” said Ana Silvia Gonzalez-Reiche, a member of the Mount Sinai team. Dr. Gonzalez-Reiche and her colleagues found that these viruses were practically identical to viruses found around Europe. They cannot say on what particular flight a particular virus arrived in New York. But they write that the viruses reveal “a period of untracked global transmission between late January to mid-February.” So far, the Mount Sinai researchers have identified seven separate lineages of viruses that entered New York and began circulating. “We will probably find more,” Dr. van Bakel said. The coronavirus genomes are also revealing hints of early cross-country travel. Dr. van Bakel and his colleagues found one New York virus that was identical to one of the Washington viruses found by Dr. Bedford and his colleagues. In a separate study, researchers at Yale found another Washington-related virus. Combined, the two studies hint that the coronavirus has been moving from coast to coast for several weeks. Image Cell samples to be infected with coronavirus at The Icahn School of Medicine at Mount Sinai in Manhattan.Credit...Victor J. Blue for The New York Times Sidney Bell, a computational biologist working with the Nextstrain team, cautions people not to read too much into these new mutations themselves. “Just because something is different doesn’t mean it matters,” Dr. Bell said. Mutations do not automatically turn viruses into new, fearsome strains. They often don’t bring about any change at all. “To me, mutations are inevitable and kind of boring,” Dr. Bell said. “But in the movies, you get the X-Men.” Peter Thielen, a virologist at the Applied Physics Laboratory at Johns Hopkins University, likes to think of the spread of viruses like a dandelion seed landing on an empty field. The flower grows up and produces seeds of its own. Those seeds spread and sprout. New mutations arise over the generations as the dandelions fill the field. “But they’re all still dandelions,” Dr. Thielen said. While the coronavirus mutations are useful for telling lineages apart, they don’t have any apparent effect on how the virus works. That’s good news for scientists working on a vaccine. Vaccine developers hope to fight Covid-19 by teaching our bodies to make antibodies that can grab onto the virus and block its entry into cells. Some viruses evolve so quickly that they require vaccines that can produce several different antibodies. That’s not the case for Covid-19. Like other coronaviruses, it has a relatively slow mutation rate compared to some viruses, like influenza. As hard as the fight against it may be, its mutations reveal that things can be a whole lot worse. Of course, the coronavirus will continue to mutate as long as it still infects people. It’s possible that vaccines will have to change to keep up with the virus. And that’s why scientists need to keep tracking its history.
  25. The NY Times publication confirms the high frequency of European sequences (Italian strain) in New York COVID patients. Most New York Coronavirus Cases Came From Europe, Genomes Show Travelers seeded multiple cases starting as early as mid-February, genomes show. https://www.nytimes.com/2020/04/08/science/new-york-coronavirus-cases-europe-genomes.html
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