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Virus name: hCoV-19/USA/NY-NYUMC214/2020 Accession ID: EPI_ISL_427509 Type: betacoronavirus Passage details/history: Original Sample information Collection date: 2020-04-03 Location: North America / USA / New York / Manhattan Host: Human

Virus name: hCoV-19/USA/NY-NYUMC215/2020 Accession ID: EPI_ISL_427510 Type: betacoronavirus Passage details/history: Original Sample information Collection date: 2020-04-03 Location: North America / USA / New York / Brooklyn Host: Human

Virus name: hCoV-19/USA/NY-NYUMC216/2020 Accession ID: EPI_ISL_427511 Type: betacoronavirus Passage details/history: Original Sample information Collection date: 2020-04-03 Location: North America / USA / New York Host: Human

Virus name: hCoV-19/USA/NY-NYUMC217/2020 Accession ID: EPI_ISL_427512 Type: betacoronavirus Passage details/history: Original Sample information Collection date: 2020-04-03 Location: North America / USA / New York / Brooklyn Host: Human

Virus name: hCoV-19/USA/NY-NYUMC218/2020 Accession ID: EPI_ISL_427513 Type: betacoronavirus Passage details/history: Original Sample information Collection date: 2020-04-03 Location: North America / USA / New York / Brooklyn Host: Human

Virus name: hCoV-19/USA/NY-NYUMC219/2020 Accession ID: EPI_ISL_427514 Type: betacoronavirus Passage details/history: Original Sample information Collection date: 2020-04-03 Location: North America / USA / New York / Brooklyn Host: Human

Virus name: hCoV-19/USA/NY-NYUMC220/2020 Accession ID: EPI_ISL_427515 Type: betacoronavirus Passage details/history: Original Sample information Collection date: 2020-03-18 Location: North America / USA / New York / Manhattan Host: Human

Total 18301 (100%) Hospitalized 3464 (18.93%) Deaths 687 (3.75%) COVID-19 Confirmed Cases By County: No. Cases No. Deaths Fulton 2110 75 Dekalb 1452 24 Dougherty 1422 94 Cobb 1125 51 Gwinnett 1099 38 Hall 621 6 Clayton 519 17 Henry 367 7 Sumter 332 14 Cherokee 293 8 Carroll 281 9 Lee 272 15 Richmond 264 10 Bartow 248 22 Douglas 230 6 Muscogee 219 4 Mitchell 213 23 Forsyth 200 7 Bibb 199 1 Chatham 179 5 Upson 170 8 Early 169 8 Houston 166 10 Coweta 161 3 Terrell 148 14 Randolph 141 13 Fayette 139 5 Paulding 133 7 Newton 128 3 Rockdale 128 6 Spalding 128 7 Thomas 127 13 Colquitt 122 5 Floyd 122 8 Worth 121 4 Crisp 118 2 Baldwin 110 2 Clarke 108 13 Columbia 101 1 Lowndes 95 3 Barrow 90 3 Troup 87 4 Tift 86 3 Ware 85 6 Coffee 79 4 Habersham 74 2 Dooly 70 4 Gordon 64 5 Decatur 61 1 Walton 60 3 Calhoun 57 2 Turner 56 2 Pierce 51 2 Oconee 50 0 Glynn 49 0 Macon 49 0 Jackson 48 1 Burke 47 2 Dawson 44 1 Butts 43 0 Greene 43 1 Laurens 43 1 Whitfield 43 3 Wilcox 43 3 Meriwether 42 0 Harris 39 2 Mcduffie 37 2 Stephens 35 1 Bryan 33 2 Johnson 33 1 Liberty 32 0 Oglethorpe 32 2 Peach 32 2 Pike 32 1 Grady 31 1 Polk 30 0 Camden 28 0 Marion 28 1 Bulloch 27 1 Effingham 26 1 Lamar 25 0 Washington 25 1 Brooks 23 5 Lumpkin 23 0 Miller 22 0 Morgan 21 0 Putnam 21 1 Seminole 21 2 Appling 20 0 Clay 20 2 Haralson 20 1 Toombs 20 2 White 20 0 Wilkinson 20 1 Catoosa 19 0 Dodge 19 0 Bacon 18 1 Brantley 18 2 Murray 18 0 Pickens 18 2 Baker 17 2 Jasper 17 0 Jones 17 0 Wilkes 17 0 Fannin 16 0 Pulaski 16 1 Schley 16 1 Talbot 16 1 Ben Hill 15 0 Irwin 15 0 Monroe 15 1 Stewart 15 0 Walker 15 0 Banks 14 0 Madison 14 1 Telfair 14 0 Union 14 1 Crawford 13 0 Towns 13 0 Cook 12 1 Emanuel 12 0 Jenkins 12 1 Gilmer 11 0 Jefferson 11 1 Screven 11 1 Taylor 11 2 Berrien 10 0 Franklin 10 0 Warren 10 0 Chattooga 9 1 Lincoln 9 0 Dade 8 1 Heard 8 1 Clinch 7 0 Elbert 7 0 Hancock 7 0 Rabun 7 0 Wayne 7 0 Bleckley 6 0 Charlton 6 0 Chattahoochee 6 0 Hart 6 0 Jeff Davis 6 0 Lanier 6 1 Atkinson 5 0 Candler 5 0 Tattnall 5 0 Webster 5 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 254 0 Non-Georgia Resident 868 7 *Based on patient county of residence when known COVID-19 Testing By Lab Type: No. Pos. Tests Total Tests Commercial Lab 17302 74615 Gphl 999 5318 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 118 2 Black Or African American Non-Hispanic/Latino 3941 344 Black Or African American Unknown 819 15 White Hispanic/Latino 344 14 White Non-Hispanic/Latino 2794 238 White Unknown 475 10 American Indian/Native American Hispanic/Latino 1 0 American Indian/Native American Non-Hispanic/Latino 15 1 American Indian/Native American Unknown 1 0 Asian Hispanic/Latino 0 0 Asian Non-Hispanic/Latino 140 8 Asian Unknown 35 1 Native Hawaiian/Pacific Islander Hispanic/Latino 4 0 Native Hawaiian/Pacific Islander Non-Hispanic/Latino 7 1 Native Hawaiian/Pacific Islander Unknown 2 0 Other Hispanic/Latino 220 7 Other Non-Hispanic/Latino 62 1 Other Unknown 65 2 Unknown Hispanic/Latino 172 1 Unknown Non-Hispanic/Latino 342 7 Unknown Unknown 8744 35 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 66 MALE BARROW Yes 91 FEMALE BARROW Yes 64 MALE BARROW Yes 69 MALE BARTOW Yes 78 MALE BARTOW Yes 56 MALE BARTOW Yes 90 MALE BARTOW Yes 66 MALE BARTOW Yes 72 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 93 MALE BARTOW Yes 71 FEMALE BARTOW Yes 84 MALE BARTOW Yes 88 MALE BARTOW Yes 90 MALE BARTOW Yes 77 FEMALE BARTOW Yes 85 FEMALE BARTOW Yes 90 FEMALE BARTOW Yes 85 MALE BARTOW Yes 88 MALE BARTOW Yes 96 FEMALE BIBB Yes 79 FEMALE BRANTLEY Unk 79 FEMALE BRANTLEY Yes 73 MALE BROOKS Yes 87 MALE BROOKS Yes 87 MALE BROOKS Unk 92 FEMALE BROOKS Unk 88 FEMALE BROOKS Unk 70 FEMALE BRYAN Yes 63 MALE BRYAN Yes 65 MALE BULLOCH Unk 67 FEMALE BURKE Unk 83 MALE BURKE Yes 61 FEMALE CALHOUN Yes 59 FEMALE CALHOUN Yes 80 MALE CARROLL Unk 76 MALE CARROLL Unk 86 MALE CARROLL Unk 64 MALE CARROLL Yes 73 MALE CARROLL Yes 87 FEMALE CARROLL Unk 71 FEMALE CARROLL Unk 79 FEMALE CARROLL Unk 86 MALE CARROLL Unk 80 FEMALE CHATHAM Yes 37 MALE CHATHAM Yes 84 FEMALE CHATHAM Yes 83 MALE CHATHAM Yes 57 MALE CHATHAM Yes 82 MALE CHATTOOGA Yes 81 MALE CHEROKEE Yes 78 FEMALE CHEROKEE Yes 73 MALE CHEROKEE Yes 78 FEMALE CHEROKEE Yes 67 FEMALE CHEROKEE Yes 94 FEMALE CHEROKEE Yes 90 MALE CHEROKEE Yes 96 MALE CHEROKEE Yes 78 FEMALE CLARKE Yes 90 MALE CLARKE Unk 89 FEMALE CLARKE No 68 MALE CLARKE Unk 79 MALE CLARKE Yes 72 MALE CLARKE Yes 76 MALE CLARKE Unk 85 MALE CLARKE Unk 65 FEMALE CLARKE Unk 78 FEMALE CLARKE Unk 98 MALE CLARKE Yes 60 MALE CLARKE Yes 79 MALE CLARKE Yes 65 MALE CLAY Unk 81 MALE CLAY Yes 61 MALE CLAYTON Unk 57 FEMALE CLAYTON Unk 49 FEMALE CLAYTON Unk 56 MALE CLAYTON Yes 67 MALE CLAYTON Unk 54 MALE CLAYTON Yes 51 FEMALE CLAYTON No 83 FEMALE CLAYTON Yes 71 FEMALE CLAYTON Unk 82 MALE CLAYTON Yes 89 MALE CLAYTON Unk 70 MALE CLAYTON Unk 64 MALE CLAYTON Unk 82 MALE CLAYTON Yes 47 MALE CLAYTON Yes 50 MALE CLAYTON Yes 39 FEMALE CLAYTON Unk 76 MALE COBB Yes 51 MALE COBB Yes 75 MALE COBB Yes 77 MALE COBB Unk 66 MALE COBB Yes 70 FEMALE COBB Yes 75 FEMALE COBB Yes 78 FEMALE COBB Unk 80 MALE COBB Yes 78 MALE COBB Yes 54 FEMALE COBB Yes 89 FEMALE COBB Yes 77 MALE COBB Yes 81 FEMALE COBB Yes 85 MALE COBB Yes 57 MALE COBB Yes 87 FEMALE COBB Yes 75 FEMALE COBB Yes 83 MALE COBB Unk 50 MALE COBB Yes 78 MALE COBB Yes 94 MALE COBB Unk 56 MALE COBB No 87 FEMALE COBB Yes 36 MALE COBB Yes 82 FEMALE COBB No 97 MALE COBB No 87 MALE COBB Yes 82 MALE COBB Yes 76 MALE COBB Yes 75 MALE COBB Yes 29 MALE COBB No 67 FEMALE COBB Yes 67 MALE COBB Yes 77 MALE COBB Yes 85 FEMALE COBB Yes 33 FEMALE COBB Yes 68 MALE COBB Yes 71 MALE COBB Yes 75 FEMALE COBB Yes 67 MALE COBB No 86 MALE COBB Unk 65 MALE COBB Yes 71 MALE COBB Yes 93 MALE COBB Yes 82 MALE COBB Yes 33 MALE COBB Yes 66 MALE COBB Yes 63 FEMALE COBB Yes 73 MALE COBB Yes 71 MALE COBB Yes 66 MALE COFFEE Unk 48 FEMALE COFFEE Yes 55 FEMALE COFFEE Yes 64 MALE COFFEE Yes 81 MALE COLQUITT Unk 51 MALE COLQUITT Unk 76 FEMALE COLQUITT Unk 83 FEMALE COLQUITT Unk 53 MALE COLQUITT Yes 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 71 FEMALE DECATUR Yes 56 MALE DEKALB Unk 99 FEMALE DEKALB No 96 FEMALE DEKALB Yes FEMALE DEKALB Unk 66 MALE DEKALB Yes 88 FEMALE DEKALB Yes 91 MALE DEKALB Yes 75 MALE DEKALB Yes 68 MALE DEKALB Unk 83 MALE DEKALB Yes 46 FEMALE DEKALB Yes 98 MALE DEKALB Yes 31 MALE DEKALB Yes 70 MALE DEKALB Yes 62 FEMALE DEKALB Unk 65 FEMALE DEKALB Yes 91 FEMALE DEKALB Yes 69 MALE DEKALB Yes 74 MALE DEKALB Yes 66 MALE DEKALB Yes 89 FEMALE DEKALB Yes 81 MALE DEKALB Yes 81 MALE DEKALB Yes 84 FEMALE DEKALB Unk 54 FEMALE DOOLY Unk 68 MALE DOOLY Unk 67 MALE DOOLY No 65 MALE DOOLY Yes 78 MALE DOUGHERTY Yes 47 FEMALE DOUGHERTY Yes 34 MALE DOUGHERTY Yes 81 FEMALE DOUGHERTY Yes 65 MALE DOUGHERTY Yes 70 MALE DOUGHERTY Unk 75 FEMALE DOUGHERTY Yes 66 FEMALE DOUGHERTY Yes 85 FEMALE DOUGHERTY Yes 71 MALE DOUGHERTY Unk 84 MALE DOUGHERTY Yes 81 FEMALE DOUGHERTY Unk 85 FEMALE DOUGHERTY Yes 58 MALE DOUGHERTY Yes 85 MALE DOUGHERTY Yes 71 MALE DOUGHERTY Yes 64 FEMALE DOUGHERTY Yes 48 MALE DOUGHERTY Yes 86 MALE DOUGHERTY Unk 54 MALE DOUGHERTY Unk 62 MALE DOUGHERTY Yes 70 MALE DOUGHERTY Yes 87 FEMALE DOUGHERTY Yes 61 FEMALE DOUGHERTY Yes 64 MALE DOUGHERTY Yes 91 MALE DOUGHERTY Yes 78 MALE DOUGHERTY Unk 83 FEMALE DOUGHERTY Yes 54 MALE DOUGHERTY Unk 65 MALE DOUGHERTY Yes 85 FEMALE DOUGHERTY Unk 55 FEMALE DOUGHERTY Unk 96 MALE DOUGHERTY Unk 90 FEMALE DOUGHERTY Unk 86 FEMALE DOUGHERTY Unk 38 MALE DOUGHERTY Yes 91 FEMALE DOUGHERTY Unk 84 MALE DOUGHERTY Unk 62 MALE DOUGHERTY Yes 71 MALE DOUGHERTY Unk 61 MALE DOUGHERTY Unk 89 FEMALE DOUGHERTY Unk FEMALE DOUGHERTY Unk 54 FEMALE DOUGHERTY Unk 85 FEMALE DOUGHERTY Unk 67 FEMALE DOUGHERTY Yes 42 FEMALE DOUGHERTY Yes 66 FEMALE DOUGHERTY Yes 43 FEMALE DOUGHERTY Yes 79 MALE DOUGHERTY Yes 70 MALE DOUGHERTY Yes 63 MALE DOUGHERTY Yes 65 MALE DOUGHERTY Yes 45 FEMALE DOUGHERTY Yes 66 MALE DOUGHERTY Yes 66 FEMALE DOUGHERTY Yes 68 FEMALE DOUGHERTY Yes 77 MALE DOUGHERTY Yes 53 FEMALE DOUGHERTY Yes 85 FEMALE DOUGHERTY Unk 98 FEMALE DOUGHERTY Unk 69 FEMALE DOUGHERTY Yes 60 FEMALE DOUGHERTY Yes 87 FEMALE DOUGHERTY Unk 68 MALE DOUGHERTY Unk 65 FEMALE DOUGHERTY Yes 71 MALE DOUGHERTY Yes 92 FEMALE DOUGHERTY Yes 92 FEMALE DOUGHERTY Unk 61 FEMALE DOUGHERTY Yes 84 MALE DOUGHERTY Unk 69 MALE DOUGHERTY Yes 82 FEMALE DOUGHERTY Yes 63 FEMALE DOUGHERTY Yes 86 FEMALE DOUGHERTY Unk 61 MALE DOUGHERTY Yes 48 FEMALE DOUGHERTY Yes 75 MALE DOUGHERTY Yes 75 MALE DOUGHERTY Yes 81 FEMALE DOUGHERTY Yes 97 FEMALE DOUGHERTY Unk 76 FEMALE DOUGHERTY Yes 74 MALE DOUGHERTY Unk 85 FEMALE DOUGHERTY Yes 79 FEMALE DOUGHERTY Unk 66 FEMALE DOUGHERTY Yes 87 FEMALE DOUGHERTY Yes 63 FEMALE DOUGHERTY Yes 79 MALE DOUGHERTY Yes 70 MALE DOUGHERTY Yes 79 FEMALE DOUGHERTY Unk 90 FEMALE DOUGHERTY Yes 82 FEMALE DOUGHERTY Yes 46 MALE DOUGHERTY Yes 32 MALE DOUGLAS Yes 56 MALE DOUGLAS Yes 84 MALE DOUGLAS Yes 78 MALE DOUGLAS Yes 66 MALE DOUGLAS No 58 FEMALE DOUGLAS Yes 54 MALE EARLY Unk 63 FEMALE EARLY Unk 58 MALE EARLY Unk 65 MALE EARLY Yes 48 FEMALE EARLY Yes 92 FEMALE EARLY Unk 80 FEMALE EARLY Unk 79 MALE EARLY Unk 56 MALE EFFINGHAM Yes 79 MALE FAYETTE Yes 85 FEMALE FAYETTE Unk 73 MALE FAYETTE Yes 77 FEMALE FAYETTE Yes 83 MALE FAYETTE Yes 75 FEMALE FLOYD Yes 62 MALE FLOYD Yes 73 FEMALE FLOYD Yes 66 FEMALE FLOYD Yes 80 MALE FLOYD Yes 70 MALE FLOYD Yes 65 FEMALE FLOYD Yes 75 MALE FLOYD Yes 73 MALE FORSYTH Unk 60 MALE FORSYTH Unk 85 MALE FORSYTH Unk 81 FEMALE FORSYTH Unk 59 MALE FORSYTH Unk 87 MALE FORSYTH Unk 69 FEMALE FORSYTH Unk 94 FEMALE FULTON Yes 90 FEMALE FULTON Unk 87 FEMALE FULTON Yes 96 MALE FULTON Yes 96 FEMALE FULTON Yes 96 FEMALE FULTON Unk 87 FEMALE FULTON Yes 100 FEMALE FULTON Yes 76 FEMALE FULTON Yes 101 FEMALE FULTON Yes 78 MALE FULTON Yes 80 FEMALE FULTON Yes 66 FEMALE FULTON Yes 60 MALE FULTON Yes 78 FEMALE FULTON Unk 50 FEMALE FULTON No 58 MALE FULTON Yes 68 FEMALE FULTON Yes 67 MALE FULTON Yes 90 FEMALE FULTON Yes 70 FEMALE FULTON Yes 66 FEMALE FULTON Unk 67 MALE FULTON Yes 70 FEMALE FULTON Yes 33 MALE FULTON Yes 85 MALE FULTON Unk 73 FEMALE FULTON Yes 89 MALE FULTON Yes 64 MALE FULTON Yes 73 MALE FULTON Unk 77 FEMALE FULTON Yes 69 MALE FULTON Yes 68 MALE FULTON Yes 62 MALE FULTON Yes 64 MALE FULTON Yes 78 FEMALE FULTON Unk 59 MALE FULTON Yes 70 FEMALE FULTON Yes 63 MALE FULTON Yes 78 MALE FULTON Yes 82 MALE FULTON Yes 78 MALE FULTON Yes 53 MALE FULTON Unk 89 FEMALE FULTON Yes 75 MALE FULTON Yes 86 FEMALE FULTON Yes 85 MALE FULTON Yes 84 FEMALE FULTON No 62 MALE FULTON Yes 75 FEMALE FULTON Yes 78 MALE FULTON Unk 53 MALE FULTON Yes 87 MALE FULTON Yes 31 MALE FULTON No 80 MALE FULTON Yes 92 FEMALE FULTON Yes 85 MALE FULTON Yes 84 MALE FULTON Yes 80 FEMALE FULTON Yes 97 FEMALE FULTON Yes 88 MALE FULTON Yes 36 FEMALE FULTON Yes 73 MALE FULTON Yes 88 FEMALE FULTON Yes 78 MALE FULTON Unk 66 MALE FULTON No 87 FEMALE FULTON Yes 93 FEMALE FULTON Unk 73 MALE FULTON Yes 82 FEMALE FULTON Yes 89 MALE FULTON Yes 85 FEMALE FULTON Unk 91 MALE FULTON Yes 95 FEMALE FULTON Yes 77 MALE FULTON Yes 70 FEMALE GORDON Yes 69 MALE GORDON Yes 63 MALE GORDON Yes 78 MALE GORDON Yes 93 FEMALE GORDON Unk 57 FEMALE GRADY Unk 100 FEMALE GREENE Unk 69 FEMALE GWINNETT Yes 81 MALE GWINNETT No 66 MALE GWINNETT Yes 63 FEMALE GWINNETT Yes 44 MALE GWINNETT Yes 61 MALE GWINNETT Yes 81 MALE GWINNETT Yes 85 MALE GWINNETT Yes 82 MALE GWINNETT Yes 73 MALE GWINNETT Unk 74 FEMALE GWINNETT Yes 80 MALE GWINNETT Yes 78 MALE GWINNETT Yes 81 MALE GWINNETT Unk 81 FEMALE GWINNETT Unk 94 MALE GWINNETT Yes 81 FEMALE GWINNETT Yes 78 MALE GWINNETT Yes 90 MALE GWINNETT Unk 70 MALE GWINNETT Yes 63 MALE GWINNETT Yes 66 FEMALE GWINNETT Yes 86 FEMALE GWINNETT Yes 74 FEMALE GWINNETT Yes 87 MALE GWINNETT Yes 68 FEMALE GWINNETT Unk 72 FEMALE GWINNETT Yes 91 FEMALE GWINNETT Yes 82 FEMALE GWINNETT Yes 87 FEMALE GWINNETT Yes 89 MALE GWINNETT Unk 89 FEMALE GWINNETT Unk 75 FEMALE GWINNETT Yes 81 MALE GWINNETT Yes 96 FEMALE GWINNETT Yes 73 FEMALE GWINNETT Yes 89 FEMALE GWINNETT Yes 85 FEMALE GWINNETT Yes 40 FEMALE HABERSHAM Yes 79 FEMALE HABERSHAM Yes 72 MALE HALL Yes 75 MALE HALL Unk 89 FEMALE HALL Yes 45 MALE HALL Yes 73 MALE HALL Yes 76 MALE HALL Yes 72 FEMALE HARALSON Yes 92 FEMALE HARRIS Yes 69 FEMALE HARRIS Unk 76 FEMALE HEARD Yes 79 FEMALE HENRY Unk 36 MALE HENRY Yes 63 FEMALE HENRY Unk 80 MALE HENRY Yes 68 MALE HENRY Unk 73 MALE HENRY Yes 55 MALE HENRY Yes 78 MALE HOUSTON Yes 64 MALE HOUSTON Yes 84 MALE HOUSTON Yes 85 MALE HOUSTON Unk 74 FEMALE HOUSTON Yes 64 MALE HOUSTON Yes 75 FEMALE HOUSTON Yes 90 MALE HOUSTON Yes 75 MALE HOUSTON Yes 71 FEMALE 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 49 MALE LEE Yes 64 MALE LEE Yes 55 FEMALE LEE Yes 70 MALE LEE No 49 FEMALE LEE Yes 34 FEMALE LEE Unk 57 MALE LEE Unk 63 MALE LEE Yes 81 MALE LEE Unk 63 MALE LEE Yes 27 FEMALE LEE No 64 FEMALE LEE Yes 81 FEMALE LEE Yes 54 MALE LEE Yes 58 MALE LEE Yes 66 MALE LOWNDES Yes 90 FEMALE LOWNDES Unk 87 FEMALE LOWNDES Yes 71 MALE MADISON Yes 81 FEMALE MARION Yes 45 MALE MCDUFFIE Unk 73 FEMALE MCDUFFIE Yes 56 FEMALE MITCHELL Yes 88 FEMALE MITCHELL Yes 81 MALE MITCHELL Yes 59 FEMALE MITCHELL Yes 72 MALE MITCHELL Yes 48 MALE MITCHELL Unk 93 FEMALE MITCHELL Unk 72 MALE MITCHELL Unk 61 FEMALE MITCHELL Unk 54 MALE MITCHELL Unk 89 FEMALE MITCHELL Yes 79 MALE MITCHELL Yes 68 MALE MITCHELL Unk 65 MALE MITCHELL Yes 47 MALE MITCHELL Unk 84 FEMALE MITCHELL Yes 90 FEMALE MITCHELL Unk 85 FEMALE MITCHELL Yes 89 FEMALE MITCHELL Yes 55 FEMALE MITCHELL Unk 97 FEMALE MITCHELL Yes 55 FEMALE MITCHELL No 73 MALE MITCHELL Unk 77 MALE MONROE Yes 73 MALE MUSCOGEE Yes 85 MALE MUSCOGEE Unk 65 FEMALE MUSCOGEE Unk 22 FEMALE MUSCOGEE Yes 61 MALE NEWTON Yes 85 MALE NEWTON Yes 77 MALE NEWTON Yes 83 MALE OGLETHORPE Unk 85 MALE OGLETHORPE Unk 64 FEMALE PAULDING Yes 85 MALE PAULDING Yes 71 MALE PAULDING Yes 73 MALE PAULDING Yes 74 MALE PAULDING Yes 87 FEMALE PAULDING Yes 73 FEMALE PAULDING Unk 57 FEMALE PEACH Yes 29 FEMALE PEACH Unk 76 FEMALE PICKENS Yes 70 MALE PICKENS Yes 67 FEMALE PIERCE Unk 83 MALE PIERCE Unk 46 MALE PIKE Yes 63 MALE PULASKI Yes 93 FEMALE PUTNAM Unk 61 MALE QUITMAN Yes 83 FEMALE RANDOLPH Unk 65 FEMALE RANDOLPH Unk 100 FEMALE RANDOLPH Unk 62 FEMALE RANDOLPH Unk 69 MALE RANDOLPH Yes 50 MALE RANDOLPH Unk 78 FEMALE RANDOLPH Unk 78 FEMALE RANDOLPH Yes 85 MALE RANDOLPH Unk 66 MALE RANDOLPH Unk 91 MALE RANDOLPH Unk 66 FEMALE RANDOLPH Yes 92 FEMALE RANDOLPH Unk 70 FEMALE RICHMOND Yes 67 FEMALE RICHMOND Yes 84 FEMALE RICHMOND Unk 72 FEMALE RICHMOND Yes 62 MALE RICHMOND Yes 82 FEMALE RICHMOND Yes 33 FEMALE RICHMOND Yes 84 MALE RICHMOND Yes 90 FEMALE RICHMOND Unk 81 FEMALE RICHMOND Unk 73 MALE ROCKDALE Yes 44 FEMALE ROCKDALE Yes 57 FEMALE ROCKDALE Yes 40 FEMALE ROCKDALE Yes 63 MALE ROCKDALE Yes 77 FEMALE ROCKDALE No 61 MALE SCHLEY Unk 67 FEMALE SCREVEN Yes 89 FEMALE SEMINOLE Unk 69 FEMALE SEMINOLE Unk 52 MALE SPALDING Unk 33 MALE SPALDING Yes 81 FEMALE SPALDING Unk 85 MALE SPALDING Yes 50 MALE SPALDING Unk 73 MALE SPALDING Yes 96 FEMALE SPALDING Unk 87 MALE STEPHENS Yes 66 MALE SUMTER Unk 65 MALE SUMTER Yes 45 MALE SUMTER Unk 63 MALE SUMTER Yes 87 FEMALE SUMTER Yes 63 MALE SUMTER Yes 68 MALE SUMTER Unk 88 MALE SUMTER Yes 63 MALE SUMTER Yes 73 MALE SUMTER Yes 72 MALE SUMTER Yes 71 FEMALE SUMTER Yes 68 FEMALE SUMTER Unk 85 MALE SUMTER Unk 74 MALE TALBOT Unk 83 FEMALE TAYLOR Yes 60 FEMALE TAYLOR Yes 77 MALE TERRELL Yes 82 MALE TERRELL Unk 77 MALE TERRELL Unk 88 FEMALE TERRELL Unk 97 FEMALE TERRELL Unk 68 FEMALE TERRELL Yes 81 MALE TERRELL Yes 60 MALE TERRELL Unk 79 FEMALE TERRELL Yes 79 MALE TERRELL Unk 78 MALE TERRELL Yes 58 MALE TERRELL Yes 75 MALE TERRELL Yes 73 FEMALE TERRELL Yes 87 FEMALE THOMAS Yes 75 MALE THOMAS Yes 95 FEMALE THOMAS Unk 82 MALE THOMAS Yes 84 FEMALE THOMAS Yes 77 FEMALE THOMAS Yes 59 MALE THOMAS Yes 73 MALE THOMAS Unk 90 MALE THOMAS Yes 89 FEMALE THOMAS Unk 77 FEMALE THOMAS Unk 82 MALE THOMAS Yes 84 FEMALE THOMAS Yes 91 MALE TIFT Yes 62 FEMALE TIFT Yes 80 MALE TIFT No 69 MALE TOOMBS Yes 77 MALE TOOMBS Yes 61 FEMALE TROUP Yes 66 FEMALE TROUP Yes 37 FEMALE TROUP Yes 82 FEMALE TROUP Yes 83 MALE TURNER Yes 75 FEMALE TURNER Yes 79 MALE UNION Yes 70 FEMALE UPSON Unk 81 FEMALE UPSON Unk 61 MALE UPSON Unk 74 MALE UPSON Yes 89 MALE UPSON No 82 MALE UPSON Unk 75 MALE UPSON Unk 62 MALE UPSON Yes 74 MALE WALTON Unk 87 MALE WALTON Yes 75 MALE WALTON Unk 64 MALE WARE Unk 82 FEMALE WARE Unk 75 MALE WARE Yes 44 MALE WARE Yes 71 MALE WARE Unk 62 FEMALE WARE Yes 66 MALE WASHINGTON Yes 81 MALE WHITFIELD Yes 93 MALE WHITFIELD Yes 78 MALE WHITFIELD Yes 79 MALE WILCOX Yes 77 MALE WILCOX Yes 65 FEMALE WILCOX Yes 63 MALE WILKINSON Yes 48 MALE WORTH Yes 60 MALE WORTH Yes 75 MALE WORTH Yes 88 FEMALE WORTH Unk 82 MALE NON-GEORGIA RESIDENT Yes 92 FEMALE NON-GEORGIA RESIDENT Yes 68 FEMALE NON-GEORGIA RESIDENT Unk 58 FEMALE NON-GEORGIA RESIDENT Yes 53 MALE NON-GEORGIA RESIDENT Unk 79 FEMALE NON-GEORGIA RESIDENT Unk 84 FEMALE NON-GEORGIA RESIDENT Unk https://dph.georgia.gov/covid-19-daily-status-report

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

Coronavirus Disease 2019 (COVID-19) in Illinois Test Results Positive 30,357 Deaths 1,290 Total Tests Performed* 143,318 *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 All numbers displayed are provisional and subject to change. Information last updated on 4/19/2020. Information to be updated daily. http://www.dph.illinois.gov/topics-services/diseases-and-conditions/diseases-a-z-list/coronavirus

COVID-19 summary Status Number (%) of People as of 4/19/2020 Negative Test Results 45,323 Positive Test Results 4,346 Hospitalizations 1,190 (27%) Deaths 220 Download State Data https://www.dhs.wisconsin.gov/covid-19/data.htm Percent of COVID-19 cases and deaths by gender Gender Confirmed Cases as of 4/19/2020 Deaths as of 4/19/2020 Female 54% 41% Male 46% 59% Total Number 4,346 220 Cumulative total and newly reported COVID-19 cases by date confirmed 3/153/203/253/304/44/94/144/1905001,0001,5002,0002,5003,0003,5004,0004,500 Cumulative total casesNewly reported casesUpdated: 4/19/20204,346 Cumulative total and newly reported COVID-19 deaths by date reported 3/153/203/253/304/44/94/144/19050100150200250 Cumulative total deathsNewly reported deathsUpdated: 4/19/2020220 Confirmed COVID-19 cases and deaths by race Race Number of cases as of 4/19/2020 Percent of cases as of 4/19/2020 Number of deaths as of 4/19/2020 Percent of deaths as of 4/19/2020 American Indian 37 1% 2 1% Asian or Pacific Islander 116 3% 5 2% Black 1,025 24% 80 36% White 2,214 51% 132 60% Multiple or Other races 145 3% 0 0% Unknown 809 19% 1 0% Total 4,346 100% 220 100% Confirmed COVID-19 cases and deaths by ethnicity Ethnicity Number of cases as of 4/19/2020 Percent of cases as of 4/19/2020 Number of deaths as of 4/19/2020 Percent of deaths as of 4/19/2020 Hispanic or Latino 628 14% 11 5% Not Hispanic or Latino 2,819 65% 207 94% Unknown 899 21% 2 1% Total 4,346 100% 220 100% Laboratory Testing Capacity Data collected by voluntary reporting from public, private, and commercial laboratories in Wisconsin. All data are estimates and do not reflect actual number of tests performed in the state. Capacity is dependent on availability of test supplies and adequate staffing. RESPONSE RESOURCES FOR WISCONSINITES — www.dhs.wisconsin.gov/covid-19/help.htm

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

Arkansas Totals Cumulative Cases 1,781 Last update: a few seconds ago Recoveries 721 Last update: a few seconds ago Deaths 39 Last update: a few second https://adem.maps.arcgis.com/apps/opsdashboard/index.html#/f533ac8a8b6040e5896b05b47b17a647

As of April 19, 2020 Confirmed Cases Reported = 38077 CATEGORY NUMBER OF CONFIRMED CASES County Barnstable 632 Berkshire 387 Bristol 1731 Dukes 14 Essex 5153 Franklin 181 Hampden 2337 Hampshire 317 Middlesex 8737 Nantucket 9 Norfolk 3789 Plymouth 2832 Suffolk 8074 Worcester 3069 Unknown 815 Sex Female 20138 Male 16909 Unknown 1030 Age Group ≤19 years of age 899 20-29 years of age 4483 30-39 years of age 5483 40-49 years of age 5517 50-59 years of age 6687 60-69 years of age 5315 70-79 years of age 3767 ≥ 80 years of age 5634 Unknown 292 Deaths Attributed to COVID-19 1706 COVID-19 Cases in Long-Term Care Facilities* Residents/Healthcare workers of LongTerm Care Facilities 6121 Long-Term Care Facilities Reporting At Least One Case of COVID-19 254 Deaths Reported in Long-Term Care Facilities 884 Total Cases and Deaths by Race/Ethnicity Confirmed Cases N (%) Deaths N (%) Hispanic 3818 (10%) 81 (5%) Non-Hispanic White 7640 (20%) 520 (30%) Non-Hispanic Black/African American 2524 (7%) 78 (5%) Non-Hispanic Asian 538 (1%) 30 (2%) Non-Hispanic Other4 1239 (3%) 41 (2%) Unknown 15267 (40%) 625 (37%) Missing 7051 (19%) 331 (19%) Total 38077 1706 Reported Deaths – April 19, 2020 (Dates of Death: 3/27/2020 – 4/19/2020) Sex Age County Preexisting Conditions Hospitalized Female 30s Middlesex Yes Yes Male 40s Plymouth Yes Unknown Female 50s Middlesex Yes Yes Male 50s Essex Yes Yes Female 60s Essex Unknown Unknown Male 60s Suffolk Yes Yes Female 60s Bristol Yes Yes Female 60s Bristol Yes Yes Female 60s Suffolk Yes Yes Male 60s Norfolk Unknown Yes Female 60s Berkshire Unknown Yes Male 60s Suffolk Unknown Yes Male 60s Middlesex Unknown Yes Male 60s Essex Yes Yes Male 60s Middlesex Unknown Yes Male 60s Middlesex Unknown Yes Male 60s Suffolk Yes Unknown Male 60s Middlesex Yes Unknown Male 60s Middlesex Unknown Yes Male 60s Hampden Yes Yes Female 60s Middlesex Unknown Yes Female 70s Norfolk Unknown No Male 70s Suffolk Unknown No Male 70s Franklin Yes Yes Female 70s Essex Yes Yes Male 70s Suffolk Yes Yes Male 70s Suffolk Yes Yes Male 70s Essex Unknown Yes Male 70s Essex Unknown Yes Male 70s Suffolk Yes Unknown Male 70s Suffolk Unknown Yes Male 70s Norfolk Yes Yes Male 70s Middlesex Unknown Unknown Female 70s Middlesex Unknown Unknown Female 70s Suffolk Unknown Yes Female 70s Plymouth Unknown Yes Male 70s Essex Yes Yes Male 70s Suffolk Unknown No Female 70s Essex Unknown No Male 70s Norfolk Unknown Yes Female 70s Suffolk Yes Unknown Male 70s Bristol Yes Yes Female 70s Middlesex Unknown Unknown Male 70s Suffolk Unknown Yes Female 70s Plymouth Yes Yes Female 70s Norfolk Unknown Unknown MASSACHUSETTS DEPARTMENT OF PUBLIC HEALTH Male 70s Essex Yes Yes Male 70s Middlesex Unknown Yes Female 80s Middlesex Unknown Unknown Male 80s Worcester Unknown Yes Female 80s Plymouth Unknown Unknown Male 80s Worcester Yes Yes Female 80s Suffolk Unknown Unknown Female 80s Essex Unknown Yes Male 80s Bristol Yes Yes Female 80s Worcester Unknown Unknown Female 80s Norfolk Unknown Yes Male 80s Hampden Yes No Female 80s Suffolk Unknown Yes Female 80s Norfolk Unknown Unknown Female 80s Worcester Yes Unknown Female 80s Hampden Yes Yes Male 80s Suffolk Yes Yes Male 80s Norfolk Unknown Unknown Male 80s Plymouth Unknown Yes Female 80s Norfolk Unknown Unknown Female 80s Middlesex Yes Unknown Male 80s Suffolk Unknown Yes Female 80s Norfolk Yes Yes Male 80s Suffolk Unknown Yes Female 80s Hampden Unknown Unknown Female 80s Norfolk Unknown Unknown Male 80s Suffolk Unknown Yes Female 80s Worcester Unknown Unknown Male 80s Norfolk Unknown Unknown Male 80s Norfolk Yes Unknown Female 80s Norfolk Yes Yes Male 80s Middlesex Yes Yes Male 80s Hampden Unknown Unknown Female 80s Suffolk Unknown Yes Female 80s Plymouth Unknown Yes Male 80s Hampden Yes No Female 80s Plymouth Yes Yes Male 80s Essex Unknown Yes Male 80s Worcester Unknown Yes Male 80s Worcester Yes Yes Female 80s Berkshire No Yes Female 80s Essex Unknown Unknown Male 80s Worcester Unknown Unknown Female 80s Middlesex Unknown No Male 80s Middlesex Unknown Yes Male 80s Suffolk Yes Unknown Female 80s Suffolk Yes Yes Male 80s Hampden Unknown Unknown Male 80s Middlesex Unknown Unknown Female 80s Norfolk Unknown Yes MASSACHUSETTS DEPARTMENT OF PUBLIC HEALTH Male 80s Middlesex Yes Yes Female 80s Middlesex Unknown Unknown Female 80s Norfolk Unknown Unknown Female 80s Plymouth Unknown Unknown Female 80s Middlesex Yes Unknown Female 80s Worcester Yes Unknown Female 80s Middlesex Unknown Unknown Male 80s Middlesex Yes Yes Male 80s Norfolk Yes Yes Male 80s Plymouth Unknown Unknown Male 80s Norfolk Yes Yes Male 80s Essex Yes Yes Female 90s Essex Unknown Unknown Female 90s Middlesex Unknown Yes Male 90s Middlesex Unknown Unknown Female 90s Worcester Yes Yes Female 90s Norfolk Unknown Unknown Female 90s Worcester Yes Unknown Male 90s Middlesex Unknown No Male 90s Hampden Yes Yes Female 90s Norfolk Yes Unknown Male 90s Middlesex Unknown Unknown Female 90s Norfolk Unknown Yes Female 90s Middlesex Unknown Unknown Female 90s Middlesex Unknown Unknown Male 90s Hampden Yes Yes Male 90s Norfolk Yes Yes Female 90s Middlesex Unknown Unknown Female 90s Norfolk Unknown Yes Female 90s Suffolk Unknown Yes Male 90s Suffolk Yes Yes Female 90s Middlesex Yes Unknown Female 90s Norfolk Unknown Yes Female 90s Barnstable Unknown Unknown Female 90s Middlesex Yes No Female 90s Norfolk Unknown Unknown Female 90s Middlesex Yes Yes Female 90s Middlesex Unknown Unknown Male 90s Essex Unknown Unknown Male 90s Hampden Yes Unknown Male 90s Norfolk Unknown No Male 90s Middlesex Yes Unknown Female 90s Norfolk Unknown Yes Female 90s Essex Unknown Unknown Female 90s Hampden Unknown Unknown Female 90s Norfolk Unknown Unknown Male 90s Middlesex Unknown Unknown Female 90s Middlesex Unknown Unknown Male 90s Norfolk Unknown Yes Female 100s Middlesex Yes No Laboratory Total Patients Positive Total Patients Tested MA State Public Health Laboratory 1931 10107 AFC Urgent Care 133 448 ARUP Laboratories 19 194 Baystate Medical Center 523 2174 Bedford Research Foundation 54 263 Berkshire Medical Center 8 66 Beth Israel Deaconess Medical Center 2672 10982 BioReference Laboratories 24 140 Boston Medical Center 1425 3181 BROAD Institute CRSP 5886 20391 Centers for Disease Control and Prevention 1 10 Children’s Hospital Boston 51 646 CVS 1331 7811 Cambridge Health Alliance 40 40 East Side Clinical Laboratory 51 309 Emerson Hospital 12 139 Excelsior 6 11 Genesys Diagnostics 778 2006 Harrington Memorial Hospital 21 51 LabCorp 2903 10257 Lemuel Shattuck Hospital 20 57 Mayo Clinic Labs 459 2404 Orig3n 16 40 Other Public Health Laboratories 13 22 Partners Healthcare 3078 11042 Quest Laboratories 12422 63328 South Shore Hospital 75 342 Steward Health Care 439 1199 Tufts Medical Center 1992 7012 UMASS Memorial Medical Center 990 4432 VA Healthcare Sites 134 533 Vikor Scientific 282 610 Viracor 85 1370 Point of Care Testing 115 460 Other 88 164 MASSACHUSETTS DEPARTMENT OF PUBLIC HEALTH Data are cumulative and current as of April 19, 2020 at 10:00 AM. *Other commercial and clinical laboratories continue to come on line. As laboratory testing results are processed and the source verified, they will be integrated into this daily report. Total Patients Tested* 38077 162241 https://www.mass.gov/doc/covid-19-cases-in-massachusetts-as-of-april-19-2020/download

4,859 TOTAL TESTED 45,712 REPORTED DEATHS 157 DIED FROM ILLNESS https://alpublichealth.maps.arcgis.com/apps/opsdashboard/index.html#/6d2771faa9da4a2786a509d82c8cf0f7

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* 1635 Negative** 10427 Pending*** 0 *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 1635 Ever Hospitalized* 74 Deaths** 7 Recovered 646 *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 33 1 Beadle 21 159 19 Bennett 0 10 0 Bon Homme 4 86 3 Brookings 9 269 9 Brown 20 396 11 Brule 0 35 0 Buffalo 0 7 0 Butte 0 13 0 Campbell 0 7 0 Charles Mix 4 62 3 Clark 1 44 1 Clay 5 100 4 Codington 13 362 12 Corson 1 7 1 Custer 0 13 0 Davison 3 241 3 Day 0 42 0 Deuel 1 57 1 Dewey 0 19 0 Douglas 0 21 0 Edmunds 0 18 0 Fall River 1 9 1 Faulk 1 14 1 Grant 0 30 0 Gregory 0 28 0 Haakon 0 10 0 Hamlin 2 46 1 Hand 0 18 0 Hanson 0 18 0 Harding 0 1 0 Hughes 5 198 4 Hutchinson 2 69 2 Hyde 1 7 1 Jackson 0 3 0 Jerauld 4 24 4 Jones 0 4 0 Kingsbury 0 53 0 Lake 3 84 2 Lawrence 9 57 9 Lincoln 90 982 47 Lyman 2 15 2 Marshall 1 33 1 McCook 3 74 2 McPherson 0 11 0 Meade 1 50 1 Mellette 0 10 0 Miner 1 16 0 Minnehaha 1362 4236 455 Moody 1 68 0 Oglala Lakota 1 21 1 Pennington 10 318 6 Perkins 0 0 0 Potter 0 27 0 Roberts 4 71 4 Sanborn 3 31 1 Spink 3 77 2 Stanley 0 29 0 Sully 1 12 1 Todd 1 32 1 Tripp 0 49 0 Turner 6 109 3 Union 6 99 3 Walworth 5 23 3 Yankton 23 353 20 Ziebach 0 3 0 Unassigned* 0 1004 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 94 0 20 to 29 years 312 0 30 to 39 years 382 0 40 to 49 years 336 0 50 to 59 years 300 2 60 to 69 years 155 2 70 to 79 years 26 1 80+ years 30 2 SEX OF SOUTH DAKOTA COVID-19 CASES Sex # of Cases # of Deaths Male 892 5 Female 743 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 19, 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.

23,928 Cases Reported* 1,296 Deaths Reported Reported COVID-19 Patients in Hospitals 1,748 349 of those on ventilators Tests Completed 6,425 by State Lab Commercial Tests Completed 135,079 and Reported to State** 64 of 64 Parishes with Reported Cases http://ldh.la.gov/coronavirus/

Bergen County: 12,639 Positive Test Results 767 Deaths Hudson County: 10,486 Positive Test Results 452 Deaths Essex County: 10,304 Positive Test Results 740 Deaths Union County: 9,609 Positive Test Results 372 Deaths Passaic County: 8,288 Positive Test Results 250 Deaths Middlesex County: 8,017 Positive Test Results 329 Deaths Monmouth County: 4,669 Positive Test Results 226 Deaths Ocean County: 4,648 Positive Test Results 217 Deaths Morris County: 4,136 Positive Test Results 257 Deaths Mercer County: 2,395 Positive Test Results 113 Deaths Somerset County: 2,384 Positive Test Results 158 Deaths Camden County: 2,131 Positive Test Results 74 Deaths Burlington County: 1,587 Positive Test Results 58 Deaths Gloucester County: 737 Positive Test Results 24 Deaths Sussex County: 659 Positive Test Results 62 Deaths Warren County: 592 Positive Test Results 44 Deaths Hunterdon County: 407 Positive Test Results 18 Deaths Atlantic County: 398 Positive Test Results 19 Deaths Cumberland County: 308 Positive Test Results 4 Deaths Cape May County: 206 Positive Test Results 14 Deaths Salem County: 116 Positive Test Results 4 Deaths https://www.nj.gov/health/cd/topics/covid2019_dashboard.shtml

This information is updated daily at 3 p.m., with COVID-19 results included as of 10 a.m. https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173---,00.html Confirmed COVID-19 Cases by Jurisdiction updated 4/19/2020 County Confirmed Cases Reported Deaths Alcona 1 Allegan 41 Alpena 14 1 Antrim 9 Arenac 11 Barry 25 1 Bay 82 2 Benzie 3 Berrien 158 8 Branch 38 2 Calhoun 141 5 Cass 22 1 Charlevoix 12 1 Cheboygan 14 1 Chippewa 1 Clare 8 1 Clinton 103 6 Crawford 29 2 Delta 12 1 Detroit City 7604 618 Dickinson 3 2 Eaton 88 5 Emmet 21 2 Genesee 1240 115 Gladwin 9 Gogebic 4 1 Grand Traverse 18 4 Gratiot 8 1 Hillsdale 90 11 Houghton 2 Huron 10 Ingham 308 6 Ionia 24 2 Iosco 11 1 Isabella 52 7 Jackson 248 10 Kalamazoo 166 9 Kalkaska 17 2 Kent 503 25 Lake 2 Lapeer 143 18 Leelanau 8 Lenawee 64 Livingston 279 11 Luce 1 Mackinac 4 Macomb 4360 391 Manistee 11 Marquette 32 6 Mason 4 Mecosta 12 1 Menominee 1 Midland 45 2 Missaukee 4 1 Monroe 233 10 Montcalm 24 1 Montmorency 4 Muskegon 143 6 Newaygo 7 Oakland 6109 471 Oceana 3 1 Ogemaw 6 Osceola 6 Oscoda 5 Otsego 72 5 Ottawa 107 5 Presque Isle 2 Roscommon 10 Saginaw 404 24 Sanilac 33 3 Schoolcraft 3 Shiawassee 94 2 St Clair 244 11 St Joseph 25 1 Tuscola 61 11 Van Buren 32 2 Washtenaw 870 30 Wayne 6088 501 Wexford 7 1 MDOC* 556 17 FCI** 51 Unknown 29 4 Out of State 76 2 Totals 31424 2391 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 8% 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% 40% Caucasian 30% 43% Multiple Races 6% 2% Other 3% 2% Unknown 25% 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 24% 23% Unknown 75% 76% Totals may not add to 100% due to rounding

COVID-19 Data for Pennsylvania* Negative Positive Deaths 126,570 32,284 1,112 * Map, tables and case counts last updated at 1:00 p.m. on 4/19/2020 Positive case counts include confirmed and probable cases. Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/19/2020 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 4/19/2020 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+ 21% Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/19/2020 County Case Counts to Date County Positives Negatives Deaths Adams 80 1173 1 Allegheny 1035 11162 50 Armstrong 38 448 2 Beaver 288 1609 32 Bedford 15 102 1 Berks 1898 3883 65 Blair 13 634 0 Bradford 25 369 1 Bucks 1722 5527 84 Butler 161 1756 5 Cambria 19 496 1 Cameron 1 19 0 Carbon 140 766 8 Centre 73 596 1 Chester 839 3902 42 Clarion 18 371 1 Clearfield 11 322 0 Clinton 11 103 0 Columbia 202 174 6 Crawford 16 547 0 Cumberland 182 867 4 Dauphin 368 2351 9 Delaware 2405 6232 90 Elk 2 117 0 Erie 58 1303 0 Fayette 66 1328 3 Forest 7 21 0 Franklin 111 2131 0 Fulton 2 52 0 Greene 24 322 0 Huntingdon 13 180 0 Indiana 51 426 4 Jefferson 2 246 0 Juniata 70 67 0 Lackawanna 636 1521 41 Lancaster 1188 5663 60 Lawrence 59 521 5 Lebanon 484 1923 4 Lehigh 2203 5693 32 Luzerne 1741 3223 34 Lycoming 37 750 0 McKean 4 123 0 Mercer 59 439 1 Mifflin 20 516 0 Monroe 963 2034 38 Montgomery 2913 11970 164 Montour 48 2924 0 Northampton 1441 4788 36 Northumberland 67 263 0 Perry 20 112 1 Philadelphia 8764 19928 240 Pike 301 964 8 Potter 4 51 0 Schuylkill 261 1450 5 Snyder 27 120 1 Somerset 18 323 0 Sullivan 1 22 0 Susquehanna 63 167 3 Tioga 14 169 1 Union 27 407 0 Venango 6 188 0 Warren 1 133 0 Washington 82 1514 2 Wayne 84 380 3 Westmoreland 284 3382 16 Wyoming 17 73 1 York 481 5234 6 Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/19/2020 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 4/19/2020 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 17,184 53% 499 Male 14,616 45% 608 Neither 1 0.00% 0 Not reported 483 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 4/19/2020 Case Counts and Deaths by Race to Date* Race Positive Cases Percent of Cases** Deaths African American/Black 2,792 9% 125 Asian 290 1% 14 White 5,523 17% 375 Other 109 0.00% 109 Not reported 23,570 73% 597 * 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 4/19/2020 Case Counts by Region to Date Region Positive Negative Inconclusive Northcentral 517 5948 7 Northeast 7561 19609 50 Northwest 226 4350 3 Southcentral 1829 15342 27 Southeast 19838 58555 367 Southwest 2027 22766 16 Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/19/2020 EpiCurve by Region Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/19/2020 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 5 1 1 Allegheny 30 168 51 37 Beaver 3 170 11 27 Berks 14 333 47 36 Bucks 38 272 51 48 Butler 3 10 9 2 Carbon 2 29 1 7 Chester 19 147 19 28 Clarion 1 1 0 0 Clearfield 2 2 0 0 Columbia 1 13 2 0 Cumberland 3 64 6 2 Dauphin 3 49 3 2 Delaware 37 409 44 60 Erie 2 2 0 0 Fayette 1 3 0 1 Indiana 2 11 0 4 Lackawanna 9 224 18 23 Lancaster 21 260 55 44 Lebanon 1 8 1 0 Lehigh 17 154 28 13 Luzerne 12 165 15 27 Lycoming 1 0 1 0 Mercer 1 1 0 0 Monroe 7 66 18 18 Montgomery 64 761 20 121 Northampton 12 214 48 19 Perry 1 2 0 0 Philadelphia 46 759 3 82 Pike 1 18 1 1 Schuylkill 1 1 0 0 Susquehanna 3 40 3 3 Washington 3 4 1 1 Westmoreland 4 81 21 17 York 2 4 1 0 Pennsylvania 368 4450 479 624 Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 4/19/2020 https://www.health.pa.gov/topics/disease/coronavirus/Pages/Cases.aspx

Number of positive tests by county 395 Hall 273 Douglas 94 Adams 73 Lancaster 52 Sarpy 49 Buffalo 43 Dawson 28 Gage 28 Dakota 20 Washington 19 Custer 18 Scotts Bluff 18 Lincoln 16 Dodge 16 Hamilton 9 Kimball 8 Madison 7 York 7 Platte 6 Saline 6 Saunders 6 Merrick 5 Gosper 5 Polk 4 Cheyenne 4 Colfax 3 Clay 3 Howard 3 Franklin 3 Cass 3 Kearney 2 Cuming 2 Seward 2 Johnson 2 Knox 1 Morrill 1 Nance 1 Furnas 1 Butler 1 Cherry 1 Antelope 1 Red Willow 1 Pierce 1 Burt 1 Stanton 1 Phelps 1 Webster 1 Otoe 1 Nemaha 1 Wayne 1 Box Butte https://nebraska.maps.arcgis.com/apps/opsdashboard/index.html#/4213f719a45647bc873ffb58783ffef3

Total Confirmed Cases 426 4 New Cases Total Confirmed Cases and New Daily Cases by County Yellowstone County 70 Total Cases | 3 New Cases Missoula County 35 Total Cases | 1 New Cases Beaverhead County 1 Total Cases | 0 New Cases Big Horn County 3 Total Cases | 0 New Cases Broadwater County 4 Total Cases | 0 New Cases Carbon County 6 Total Cases | 0 New Cases Cascade County 13 Total Cases | 0 New Cases Deer Lodge County 3 Total Cases | 0 New Cases Flathead County 37 Total Cases | 0 New Cases Gallatin County 142 Total Cases | 0 New Cases Glacier County 4 Total Cases | 0 New Cases Golden Valley County 3 Total Cases | 0 New Cases Hill County 1 Total Cases | 0 New Cases Jefferson County 2 Total Cases | 0 New Cases Lake County 5 Total Cases | 0 New Cases Lewis and Clark County 16 Total Cases | 0 New Cases Liberty County 1 Total Cases | 0 New Cases Lincoln County 7 Total Cases | 0 New Cases Madison County 8 Total Cases | 0 New Cases Meagher County 1 Total Cases | 0 New Cases Musselshell County 1 Total Cases | 0 New Cases Park County 7 Total Cases | 0 New Cases Pondera County 1 Total Cases | 0 New Cases Ravalli County 5 Total Cases | 0 New Cases Richland County 3 Total Cases | 0 New Cases Roosevelt County 6 Total Cases | 0 New Cases Silver Bow County 11 Total Cases | 0 New Cases Stillwater County 1 Total Cases | 0 New Cases Toole County 29 Total Cases | 0 New Cases https://montana.maps.arcgis.com/apps/MapSeries/index.html?appid=7c34f3412536439491adcc2103421d4b

New York City 131,263 Albany County 648 Allegany County 30 Broome County 186 Cattaraugus County 34 Cayuga County 36 Chautauqua County 25 Chemung County 72 Chenango County 77 Clinton County 48 Columbia County 105 Cortland County 25 Delaware County 49 Dutchess County 2,201 Erie County 1,997 Essex County 16 Franklin County 13 Fulton County 27 Genesee County 87 Greene County 82 Hamilton County 3 Herkimer County 47 Jefferson County 50 Lewis County 8 Livingston County 37 Madison County 105 Monroe County 1,008 Montgomery County 34 Nassau County 28,539 Niagara County 234 Oneida County 268 Onondaga County 492 Ontario County 69 Orange County 6,266 Orleans County 41 Oswego County 45 Otsego County 47 Putnam County 582 Rensselaer County 164 Rockland County 9,171 Saratoga County 244 Schenectady County 259 Schoharie County 20 Schuyler County 6 Seneca County 18 St. Lawrence County 98 Steuben County 160 Suffolk County 26,143 Sullivan County 524 Tioga County 32 Tompkins County 117 Ulster County 820 Warren County 94 Washington County 49 Wayne County 49 Westchester County 23,179 Wyoming County 36 Yates County 9 New York State Total 236,732 New York State Deaths 12,192 New York City Deaths (Note: includes confirmed and presumed COVID-19 deaths as reported by the NYC Health Department) 12,199 https://www.nbcnewyork.com/news/local/how-many-in-tri-state-have-tested-positive-for-coronavirus-here-are-latest-cases-by-the-numbers/2317721/

COVID-19 Statistics in Maryland Number of Confirmed Cases: 12,830 Number of negative test results: 55,061 Number of Deaths: 486 Number of Probable Deaths: 62 Hospitalizations: 2,886 ever hospitalized Released From Isolation: 914 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 1,047 (40) 6* Baltimore City 1,392 (46) 5* Baltimore County 1,733 (44) 6* Calvert 113 (3) Caroline 33 Carroll 313 (27) 1* Cecil 131 (3) Charles 370 (17) Dorchester 21 (1) Frederick 591 (25) 5* Garrett 4 Harford 210 (1) 5* Howard 515 (11) 1* Kent 18 (1) Montgomery 2,507 (80) 16* Prince George's 3,345 (98) 7* Queen Anne's 25 (2) St. Mary's 105 (2) Somerset 10 Talbot 19 (1) Washington 117 (3) Wicomico 145 (3) Worcester 33 Data Not Available (77) 10* By Age Range and Gender Age/Gender Cases Deaths 0-9 93 10-19 277 20-29 1,391 (2) 30-39 2,100 (12) 40-49 2,312 (10) 50-59 2,492 (30) 5* 60-69 1,898 (78) 10* 70-79 1,286 (109) 10* 80+ 981 (169) 27* Age Data Not Available (76) 10* Female: 6,923 (224) 32* Male: 5,907 (261) 30* Gender Data Not Available: (1) By Race and Ethnicity Race/Ethnicity Cases Deaths African-American (NH) 4,855 (196) 16* Asian (NH) 276 (15) 1* White (NH) 3,037 (159) 34* Hispanic 1,639 (21) Other (NH) 505 (14) Data Not Available 2,518 (81) 11*

DC COVID-19 Data for April 18, 2020 https://coronavirus.dc.gov/page/coronavirus-data Total Tested Overall: 13,699 Total Positives: 2,793 Total Lives Lost: 96 Total Recovered: 622 Download copy of DC COVID-19 data Other Data Public Safety Agency Data Human Services Agency Data Hospital Status Data