niman

Total COVID-19 Positive 15,691 Source: RIDOH COVID-19 Fatalities 808 Source: RIDOH Newly Reported Fatalities 9 Source: RIDOH Total Covid-19 Tests 180,887 Source: RIDOH Covid-19 Negative 165,196 Source: RIDOH Newly Reported Positive Tests 55 Source: RIDOH Currently Hospitalized 144 Source: RIDOH Currently in ICU 31 Source: RIDOH Currently on Vent 19 Source: RIDOH https://ri-department-of-health-covid-19-data-rihealth.hub.arcgis.com/

There are 15,450 confirmed COVID-19 patients in Missouri, including 855 deaths. https://www.kshb.com/news/coronavirus/covid-19-case-tracker-where-we-stand-in-mo-ks-nationwide COUNTY COVID-19 Cases COVID-19 Deaths Adair County 77 0 Andrew County 33 0 Atchison County 3 0 Audrain County 117 2 Barry County 9 0 Barton County 0 0 Bates County 12 1 Benton County 13 0 Bollinger County 7 0 Boone County 194 2 Buchanan County 755 2 Butler County 51 0 Caldwell County 6 0 Callaway County 32 1 Camden County 37 1 Cape Girardeau County 87 3 Carroll County 9 0 Carter County 5 1 Cass County 105 8 Cedar County 9 0 Chariton County 6 0 Christian County 34 0 Clark County 1 0 Clay County 249 3 Clinton County 19 0 Cole County 57 1 Cooper County 9 0 Crawford County 8 0 Dade County 0 0 Dallas County 6 0 Daviess County 6 0 DeKalb County 6 0 Dent County 1 0 Douglas County 3 0 Dunklin County 49 3 Franklin County 156 18 Gasconade County 2 0 Gentry County 54 4 Greene County 179 8 Grundy County 4 0 Harrison County 9 0 Henry County 12 3 Hickory County 0 0 Holt County 1 0 Howard County 3 0 Howell County 14 0 Iron County 2 0 Jackson County 727 22 Jasper County 70 0 Jefferson County 407 19 Johnson County 81 0 Knox County 0 0 Laclede County 7 0 Lafayette County 83 3 Lawrence County 7 0 Lewis County 7 1 Lincoln County 87 1 Linn County 10 1 Livingston County 4 0 McDonald County 40 0 Macon County 6 0 Madison County 3 0 Maries County 2 0 Marion County 6 0 Mercer County 4 0 Miller County 4 0 Mississippi County 66 0 Moniteau County 58 1 Monroe County 3 0 Montgomery County 12 0 Morgan County 9 0 New Madrid County 23 1 Newton County 40 1 Nodaway County 14 0 Oregon County 2 0 Osage County 6 0 Ozark County 0 0 Pemiscot County 97 5 Perry County 75 0 Pettis County 83 1 Phelps County 5 0 Pike County 28 1 Platte County 80 3 Polk County 4 0 Pulaski County 109 1 Putnam County 1 0 Ralls County 5 0 Randolph County 10 0 Ray County 24 0 Reynolds County 2 0 Ripley County 11 0 St. Charles County 852 63 St. Clair County 2 0 Ste. Genevieve County 12 1 St. Francois County 47 2 St. Louis County 5,345 480 Saline County 283 3 Schuyler County 1 0 Scotland County 9 0 Scott County 127 11 Shannon County 6 0 Shelby County 1 0 Stoddard County 109 6 Stone County 8 0 Sullivan County 68 0 Taney County 13 2 Texas County 1 0 Vernon County 12 0 Warren County 30 0 Washington County 13 1 Wayne County 0 0 Webster County 18 0 Worth County 4 0 Wright County 14 0 St. Louis city 2,108 136 Kansas City 1,594 28

https://www.tn.gov/health/cedep/ncov.html

New Positive Cases 430 between 05/24/2020 and 06/08/2020 New Deaths 23 between 05/31/2020 and 06/08/2020 New Tests 6,015 between 03/18/2020 and 06/08/2020 Total Positive Cases 38,033 Total Deaths 2,158 Total Tested 315,39012.1% Positive https://www.coronavirus.in.gov/

36,355 Confirmed Cases 2,807 CDC Expanded Case Definition (Probable) 39,162 Total Cases 6,620 Number of Hospitalizations in Ohio 2,196 Confirmed Deaths 225 CDC Expanded Death Definition (Probable) 2,421 Total Deaths 1,708 Number of ICU Admissions <1-109 Age Range 49 Median Age 52%* Sex - Males 47%* Sex - Females https://coronavirus.ohio.gov/wps/portal/gov/covid-19/home

As of June 08, 2020, at 8:30 PM, the total of laboratory-confirmed and probable COVID-19 cases reported among Connecticut residents is 44179; including 42182 laboratory-confirmed and 1997 probable cases. Two hundred ninety-three patients are currently hospitalized with laboratoryconfirmed COVID-19. There have been 4097 COVID-19-associated deaths. Overall Summary Total** Change Since Yesterday COVID-19 Cases 44179 +87 COVID-19-Associated Deaths 4097 +13 Patients Currently Hospitalized with COVID-19 293 -31 COVID-19 PCR Tests Reported 310654 +4658 **Includes confirmed plus probable cases COVID-19 Cases and Associated Deaths by County of Residence As of 06/08/20 8:30pm. Includes patients tested at the State Public Health Laboratory, hospital, and commercial laboratories. County COVID-19 Cases COVID-19-Associated Deaths Confirmed Probable Confirmed Probable Fairfield County 15405 703 1027 292 Hartford County 10206 653 991 300 Litchfield County 1369 63 115 21 Middlesex County 1139 55 128 35 New Haven County 11495 380 872 144 New London County 1059 63 71 25 Tolland County 806 67 48 13 Windham County 423 7 14 1 Pending address validation 280 6 0 0 Total 42182 1997 3266 831 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/CTDPHCOVID19summary6092020.pdf?la=en

Filtered to: Louisiana 43,612 Cases Reported 2,844 Deaths Reported Tests Performed 25,365 by State Lab Commercial Tests 428,303 Performed Statewide Indicator Presumed Recovered* 33,904 as of 6/6/2020 Reported COVID-19 Patients in Hospitals 568 67 of those on ventilator http://ldh.la.gov/coronavirus/

Confirmed Cases 129,212 Confirmed Deaths 6,018 Total Tests Performed* 1,079,182 Recovery Rate** 92% *Total nucleic acid-based tests performed and reported electronically for testing of COVID-19 at IDPH, commercial or hospital laboratories. All numbers displayed are provisional and will change. http://www.dph.illinois.gov/topics-services/diseases-and-conditions/diseases-a-z-list/coronavirus ** Recovered cases are defined as persons with initial positive specimen collection date > 42 days who have not expired. Recovery rate is calculated as the recovered cases divided by the sum of recovered cases and deceased cases. Information regarding the number of persons under investigation updated on 6/9/2020. Information to be updated daily. Coronavirus Disease 2019 (COVID-19) Probable Cases and Deaths Probable Cases 724 Probable Deaths 178 Information regarding the number of probable cases and deaths updated on 6/8/2020 Information updated weekly

https://www.mass.gov/doc/covid-19-dashboard-june-9-2020/download

https://www.nj.gov/health/cd/topics/covid2019_dashboard.shtml

June 8 http://mediaarchives.gsradio.net/rense/special/rense_060820_hr3.mp3

June 5 http://mediaarchives.gsradio.net/rense/special/rense_060520_hr3.mp3

June 4 http://mediaarchives.gsradio.net/rense/special/rense_060420_hr3.mp3

https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173---,00.html

New York City 207,353 Albany County 1,983 Allegany County 51 Broome County 627 Cattaraugus County 95 Cayuga County 102 Chautauqua County 103 Chemung County 138 Chenango County 135 Clinton County 97 Columbia County 414 Cortland County 42 Delaware County 86 Dutchess County 4,016 Erie County 6,595 Essex County 40 Franklin County 23 Fulton County 228 Genesee County 210 Greene County 248 Hamilton County 5 Herkimer County 125 Jefferson County 79 Lewis County 20 Livingston County 121 Madison County 331 Monroe County 3,243 Montgomery County 100 Nassau County 40,980 Niagara County 1,125 Oneida County 1,185 Onondaga County 2,427 Ontario County 222 Orange County 10,533 Orleans County 257 Oswego County 115 Otsego County 75 Putnam County 1,280 Rensselaer County 505 Rockland County 13,353 Saratoga County 511 Schenectady County 715 Schoharie County 54 Schuyler County 12 Seneca County 61 St. Lawrence County 209 Steuben County 252 Suffolk County 40,426 Sullivan County 1,418 Tioga County 134 Tompkins County 171 Ulster County 1,724 Warren County 257 Washington County 240 Wayne County 126 Westchester County 34,035 Wyoming County 91 Yates County 39 New York State Total 379,482 New York State Deaths 24,348 New York City Deaths (Note: includes confirmed COVID-19 deaths as reported by the state and probable deaths as reported by the NYC Health Department. Confirmed NYC Health Department data doesn't match the state's data.) 20,672 https://www.nbcnewyork.com/news/local/how-many-in-tri-state-have-tested-positive-for-coronavirus-here-are-latest-cases-by-the-numbers/2317721/

Dramatic spikes in auto traffic around major hospitals in Wuhan last fall suggest the novel coronavirus may have been present and spreading through central China long before the outbreak was first reported to the world, according to a new Harvard Medical School study. Using techniques similar to those employed by intelligence agencies, the research team behind the study analyzed commercial satellite imagery and "observed a dramatic increase in hospital traffic outside five major Wuhan hospitals beginning late summer and early fall 2019," according to Dr. John Brownstein, the Harvard Medical professor who led the research. Brownstein, an ABC News contributor, said the traffic increase also "coincided with" elevated queries on a Chinese internet search for "certain symptoms that would later be determined as closely associated with the novel coronavirus." Though Brownstein acknowledged the evidence is circumstantial, he said the study makes for an important new data point in the mystery of COVID-19's origins. “Something was happening in October,” said Brownstein, the chief innovation officer at Boston Children’s Hospital and director of the medical center’s Computational Epidemiology Lab. “Clearly, there was some level of social disruption taking place well before what was previously identified as the start of the novel coronavirus pandemic.” Zhongnan Hospital of Wuhan University Zhongnan Hospital of Wuhan UniversityProvided to ABC News Since the outbreak in China last year, the coronavirus has swept across the globe infecting nearly 7 million and killing more than 400,000 worldwide, according to a count by Johns Hopkins University. It is believed that the virus jumped from animal species, where it had little effect, to humans, where it has become the most potent natural killer since the Spanish flu pandemic a century ago. Though Chinese officials would not formally notify the World Health Organization until Dec. 31 that a new respiratory pathogen was coursing through Wuhan, U.S. intelligence caught wind of a problem as early as late November and notified the Pentagon, according to four sources briefed on the confidential information. Because the origin of a novel virus is so hard to pin down but so critically important for scientists to understand, experts around the world are racing to uncover the secrets of the pathogen formally known as SARS-CoV2. The task for researchers is made far more complicated by the Chinese government’s refusal to fully cooperate with Western and international health authorities, American and WHO officials have said. Brownstein and his team, which included researchers from Boston University and Boston Children’s Hospital, have spent more than a month trying to pin down the signs for when the population of Hubei province in China first started to be stricken. Wuhan Tongji Medical University Wuhan Tongji Medical UniversityProvided to ABC News The logic of Brownstein’s research project was straightforward: respiratory diseases lead to very specific types of behavior in communities where they’re spreading. So, pictures that show those patterns of behavior could help explain what was happening even if the people who were sickened did not realize the broader problem at the time. “What we're trying to do is look at the activity, how busy a hospital is,” Brownstein said. “And the way we do that is by counting the cars that are at that hospital. Parking lots will get full as a hospital gets busy. So more cars in a hospital, the hospital's busier, likely because something's happening in the community, an infection is growing and people have to see a doctor. So you see the increases in the hospital business through the cars… We saw this across multiple institutions.” The picture painted by the data is not in itself conclusive, Brownstein acknowledged, but he said the numbers are telling. “This is all about a growing body of information pointing to something taking place in Wuhan at the time,” Brownstein said. “Many studies are still needed to fully uncover what took place and for people to really learn about how these disease outbreaks unfold and emerge in populations. So this is just another point of evidence.” Hospital Traffic at Wuhan's Major Hospitals Hospital Traffic at Wuhan's Major HospitalsProvided to ABC News Disease ecologist Peter Daszak, president of the nonprofit EcoHealth Alliance in Manhattan, said the Harvard study “is absolutely fascinating." “You need to look at every possible bit of evidence, where it came from and when it emerged,” said Daszak, whose organization works to understand the origin of emerging diseases. “When we do analysis after outbreaks, we find that the diseases had been in circulation days, weeks, months, years before. I really believe that’s what we’re going to find with COVID-19.” David Perlin, chief science officer at the Center for Discovery and Innovation in New Jersey, said he was intrigued by Brownstein’s research, though he wasn’t totally convinced. “I think some of the methods are questionable and their interpretation is slightly over-interpreted,” Perlin said. “The problem is we only have a subset of data here. I always worry when people start drawing inferences from data subsets, cherry-picking data [like the internet searches]. It’s suggestive." Photographs taken from space suggests a crisis below Starting with nearly 350 images captured by private satellites circling the globe, Brownstein’s study first examined traffic and parking outside major hospitals in Wuhan for the past two years. Among them were photographs snapped from space approximately every week or every other week through the fall of 2019. From the approximately 350 frames, researchers found 108 usable images, showing locations without obstruction from smog, tall buildings, clouds or other features that could complicate satellite analysis. “It has to be right at noon,” Brownstein said, “because you basically want direct sunlight. You don’t want shadows to prevent our ability to count the cars.” On Oct. 10, 2018, there were 171 cars in the parking lot of Wuhan’s Tianyou Hospital, one of the city’s largest. A year later, satellites recorded 285 cars -- a 67% increase, according to the data reviewed by the researchers and shared with ABC News. Wuhan Tianyou Hospital Wuhan Tianyou HospitalProvided to ABC News Other hospitals showed up to a 90% increase when comparing traffic between fall of 2018 and 2019, according to the study. At Wuhan Tongji Medical University, the spike in car traffic was found to have occurred in mid-September 2019. To ensure they were not reaching faulty conclusions, researchers said they took into account everything that could explain away traffic surges -- from large public gatherings to the possibility of new construction at the hospitals. Still, they said they found statistically significant increases in the numbers of cars present. “If you look at all of the images, observations we've ever had of all of these locations since 2018, almost all of the highest car counts are all in the September through December 2019 time frame,” said Tom Diamond, president of RS Metrics, which worked with the Brownstein research team. As an initial "validation" of their methodology of extrapolating information about movement through the review of satellite images, researchers said they compared parking lot activity at the Huanan Seafood Market in mid-September, when the market was busy, and after the market was shut down by authorities after reports emerged that the wet market may have been ground zero for the novel coronavirus outbreak. They said they found a marked change. “The images validate the concept that activity and movement is shown through the lens of these sort of parking lots,” said Brownstein. Huanan Seafood Market Huanan Seafood MarketProvided to ABC News The study has been submitted to the journal Nature Digital Medicine and is under peer review. It is scheduled to be posted Monday morning on “Dash,” Harvard’s preprint server for medical papers. On Monday morning the website for "Dash" suffered a temporary outage. A spokesperson for Harvard Medical School told ABC News they were investigating the incident. In conducting the project, RS Metrics, an intelligence-analysis firm that analyzes satellite imagery for corporate clients, employed techniques designed to identify and monitor changes in the patterns of life and business. It’s similar to work done by analysts at the Central Intelligence Agency and the Defense Intelligence Agency, who pore over images each day to try to figure out what is happening on the ground – especially in places where governments restrict the flow of people and news. Diamond told ABC News the Wuhan region was clearly experiencing a widespread health problem in the months before China’s government acknowledged publicly that a contagion was coursing through the densely populated city. That announcement came on New Year’s Eve when the Wuhan Municipal Health Commission, China reported a “cluster” of pneumonia cases in its city. “At all the larger hospitals in Wuhan, we measured the highest traffic we’ve seen in over two years during the September through December 2019 time frame,” Diamond said. “Our company is used to measuring tiny changes, like 2% to 3% growth in a Cabella’s or Wal-Mart parking lot. That was not the case here. Here, there is a very clear trend.” Former acting Homeland Security Undersecretary John Cohen, who oversaw DHS intelligence operations during the Obama administration, said the new research suggests that COVID-19, which has already killed more than 110,000 Americans, was likely brought to the U.S. by travelers from Wuhan long before it was detected. “This study raises serious questions about whether the coronavirus was first introduced into the United States earlier than previously reported and whether measures announced in late January restricting travel from China were too little too late,” said Cohen, now an ABC News contributor. Hubei Women and Children Hospital Hubei Women and Children HospitalProvided to ABC News Satellite images suggesting a change in life patterns in Wuhan were also a key factor in classified early U.S. intelligence reporting. In April, ABC News reported that the National Center for Medical Intelligence (NCMI) received word in late November that a contagion was sweeping through Wuhan, changing the patterns of life and business and posing a threat to the population. Sources familiar with the reports said NCMI, a component of the military’s Defense Intelligence Agency, based the analysis on wire and computer intercepts coupled with satellite images similar to those used by Brownstein’s team. After that story was broadcast, the NCMI’s director issued a statement, denying that a formal “product/assessment” was generated in November. The statement did not address preliminary intelligence reports. When contacted Friday with the results of the new Harvard study, the Pentagon’s chief spokesman, Jonathan Hoffman, said he had “nothing to add.” The Office of the Director of National Intelligence declined to comment. In response to questions about the new Harvard Medical study, the State Department Sunday again criticized the government in Beijing for withholding from the world community critical public health information. “The Chinese government's cover up of initial reporting on the virus is just one more example of the challenges presented by the Chinese Communist Party's hostility toward transparency,” a State Department spokesperson told ABC News. “The Chinese government has a responsibility to share information on the virus and support countries as the world responds to COVID-19.” In March, the Hong Kong-based South China Morning Post newspaper, citing Chinese government data, reported that the first case of COVID-19 could be traced back to November 17, 2019. In recent days, Chinese health officials have told local media that the virus likely was spreading before they realized, though they have offered no details. ABC News sought comment on the new study from the hospitals in Wuhan that were analyzed, the local public health agency and the Chinese embassy in Washington. The only response received by the network came from the Chinese embassy, where officials pointed to a white paper released Sunday the China State Council. “The novel coronavirus is a previously unknown virus,” the report documents. “Determining its origin is a scientific issue that requires research by scientists and doctors. The conclusion must be based on facts and evidence.” The council also defended the Chinese government’s response, writing, “China has also acted with a keen sense of responsibility to humanity, its people, posterity, and the international community.” Tuesday a spokesperson for the Chinese Foreign Ministry told reporters she had not seen the Harvard study, but thought it was "ridiculous to come to this kind of conclusion based on superficial [observations], such as traffic volumes. It is incredibly ridiculous." The spokesperson, Hua Chunying, said she was not a scientist, but found the conclusions "very far-fetched" and more generally urged the U.S. and China to work together on combating what she called false information. On the ground, internet searches for symptoms associated with COVID Brownstein said he and his researchers found the hospital-traffic data to be even more compelling after digging into internet search patterns. Around the time the hospital traffic was surging, there was a spike in online traffic in the Wuhan region among users asking China’s Baidu search engine for information on “cough” and “diarrhea.” “While queries of the respiratory symptom ‘cough’ show seasonal fluctuations coinciding with yearly influenza seasons, ‘diarrhea’ is a more COVID-19-specific symptom and only shows an association with the current epidemic,” according to the study. “The increase of both signals precede the documented start of the COVID-19 pandemic in December.” Internet Search Trends in Wuhan Internet Search Trends in WuhanProvided to ABC News “We've done previous studies where we could show that what people search for online is an indicator of disease in the population,” Brownstein said. “And we actually saw people searching for symptoms that might be related to COVID: diarrheal disease, cough. That was even starting as early as late summer. “Now, we can't confirm 100% what the virus was that was causing this illness and what was causing this business in hospitals,” Brownstein said. “But something was going on that looked very different than any other time that we had looked at.” Brownstein and his research team used satellite imagery in 2015 to investigate how health care systems could predict outbreaks of influenza-like illnesses as they occur. “We previously validated this method of indirectly measuring disease activity by monitoring hospital parking lot usage in Chile, Argentina and Mexico,” said researcher Elaine Nsoesie, a global health professor at Boston University who worked with Brownstein on both projects. “Using the data, we were able to forecast trends in influenza-like illnesses over several years.” For that study, the scientists reviewed nearly 3,000 satellite images from 2010 to 2013, again, measuring car traffic at hospitals. They concluded that traffic spikes coincide with an outbreak of influenza-like illness, so public health officials could use parking-lot data to help them prepare for something that could strain medical facilities. “We are in need of new and innovative methods for predicting disease,” said epidemiology professor Anne Rimoin, the director of the Center for Global and Immigrant Health at UCLA, who was not connected with the research effort. “In this specific case, data on events such as increases in hospital traffic could serve as early indicators of social disruption resulting from disease. High-resolution satellite imagery can be extremely useful for understanding disease spread and implementation of control measures.” Karson Yiu, Conor Finnegan, Luis Martinez and James Gordon Meek contributed to this report. This report was updated Tuesday to include comments from the Chinese Foreign Ministry. This report was featured in the Tuesday, June 9, 2020, episode of “Start Here,” ABC News’ daily news podcast.

Satellite data suggests coronavirus may have hit China earlier: Researchers Researchers say surge in cars at hospitals may indicate outbreak in fall. By Kaitlyn Folmer and Josh Margolin June 8, 2020, 6:04 AM 18 min read

Dramatic spikes in auto traffic around major hospitals in Wuhan last fall suggest the novel coronavirus may have been present and spreading through central China long before the outbreak was first reported to the world, according to a new Harvard Medical School study. https://abcnews.go.com/International/satellite-data-suggests-coronavirus-hit-china-earlier-researchers/story?id=71123270&cid=clicksource_4380645_3_mobile_web_only_headlines_headlines_hed

https://covid19.ncdhhs.gov/dashboard/cases

https://app.powerbigov.us/view?r=eyJrIjoiMjA2ZThiOWUtM2FlNS00MGY5LWFmYjUtNmQwNTQ3Nzg5N2I2IiwidCI6ImU0YTM0MGU2LWI4OWUtNGU2OC04ZWFhLTE1NDRkMjcwMzk4MCJ9

https://www.azdhs.gov/preparedness/epidemiology-disease-control/infectious-disease-epidemiology/covid-19/dashboards/index.php

COVID-19 Data for Pennsylvania Page last updated: 12:00 p.m. on 6/9/2020 https://www.health.pa.gov/topics/disease/coronavirus/Pages/Cases.aspx Having trouble viewing the dashboard? View the full screen versionOpens In A New Window. County Case Counts to Date Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 6/9/2020 County case counts by date Death Data This information has been extracted from death records registered with the Department’s Vital Records Program as of 11:59 pm on June 8, 2020. Death by county of residence View the weekly report issued June 5, 2020 COVID-19 Cases Associated with Nursing Homes and Personal Care Homes to Date Long-term care facilities data Trajectory Animations COVID-19 trajectory animations EpiCurve by Region 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. Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 6/9/2020 Multisystem Inflammatory Syndrome in Children (MIS-C) in Pennsylvania Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 6/9/2020 Potential Cases Confirmed Cases Determined Not a Case Under Investigation 40 20 6 14

CASES 21,071 CONFIRMED 351 PROBABLE LAST 14 DAYS 5,356 CASES 86,745 TESTED TOTAL TESTED 267,388 DEATHS 725 CONFIRMED 4 PROBABLE HOSPITALIZATIONS Since March 13 2,087 STATEWIDE PRESUMED RECOVERIES Updated Weekly 11,395 STATEWIDE https://alpublichealth.maps.arcgis.com/apps/opsdashboard/index.html#/6d2771faa9da4a2786a509d82c8cf0f7

June 8, 2020 Total Overall Tested: 57,152* Total Number of DC Residents Tested: 46,413* Total Positives: 9,474 Total Lives Lost: 495 Cleared from Isolation: 1,143 *All Data are preliminary and are subject to change based on additional reporting Download copy of DC COVID-19 data Other Data Public Safety Agency Data Human Services Agency Data Hospital Status Data https://coronavirus.dc.gov/page/coronavirus-data

COVID-19 Statistics in Maryland Number of confirmed cases : 58,904 Number of persons tested negative : 319,178 Total testing volume : 443,478 Number of confirmed deaths : 2,686 Number of probable deaths : 125 Currently hospitalized : 970 Acute care : 584 Intensive care : 386 Ever hospitalized : 9,676 Released from isolation : 4,279 Cases and Deaths Data Breakdown: Parenthesis = Confirmed death, laboratory-confirmed positive COVID-19 test result Asterisk = Probable death, death certificate lists COVID-19 as the cause of death but not yet confirmed by a laboratory test NH = Non-Hispanic By County County Cases Deaths Allegany 186 (17) Anne Arundel 4,309 (177) 9* Baltimore City 6,355 (279) 8* Baltimore County 6,852 (379) 19* Calvert 363 (20) 1* Caroline 273 (1) Carroll 963 (99) 3* Cecil 417 (25) Charles 1,216 (80) 2* Dorchester 157 (4) Frederick 2,152 (104) 7* Garrett 10 Harford 969 (52) 3* Howard 2,191 (66) 5* Kent 188 (19) Montgomery 12,968 (628) 39* Prince George's 16,636 (583) 24* Queen Anne's 177 (12) St. Mary's 561 (34) Somerset 77 (3) Talbot 108 (4) Washington 545 (17) Wicomico 990 (33) Worcester 241 (14) 1* Data not available (36) 4* By Age Range and Gender Age/Gender Cases Deaths 0-9 1,541 10-19 2,750 (1) 20-29 8,319 (14) 1* 30-39 10,979 (34) 4* 40-49 10,596 (81) 3* 50-59 9,438 (194) 10* 60-69 6,832 (430) 12* 70-79 4,360 (658) 19* 80+ 4,089 (1,239) 72* Data not available (35) 4* Female 30,667 (1,312) 67* Male 28,237 (1,374) 58* By Race and Ethnicity Race/Ethnicity Cases Deaths African-American (NH) 16,966 (1,115) 43* Asian (NH) 1,114 (101) 6* White (NH) 11,547 (1,140) 65* Hispanic 15,518 (261) 7* Other (NH) 2,946 (32) Data not available 10,813 (37) 4* https://coronavirus.maryland.gov/