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4,044 New Cases, 13.30% "New Individual Tested" Positive Rate, 5.23% New Cases Positive Rate, 88 Death, 114 Hospitalization for Saturday update for 10/16/2020
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4,044 new cases today's report. 3,968 residents, and 76 non-residents. 13.1% positive from 30,324 tests new residents individuals. 83.52% positive from 91 tests new non-residents individuals. 13.30% positive from 30,415 tests new individuals. 5.21% new cases with 77,244 tests according to DoH. Full positivity rate 6.39 % and 83,567 testings. Calculation version it's 5.23% out of 77,263 Total Test. 87
resident death and 1 non-resident death 88 total death. 114 Hospitalizations. Tested positive Median age 38.

Averages 7-day cases: 3,366, Hospitalization: 186, Death: 107, New Individual Positivity rate: 12.37% Average State Positivity Rate according to DoH 4.71%

Averages 14-day cases: 2,705, Hospitalization: 168, Death: 94, New Individual Positivity rate: 10.47% Average State Positivity Rate according to DoH 4.84%

Averages 30-day cases: 2,601, Hospitalization: 164, Death: 96, New Individual Positivity rate: 10.81%, Average State Positivity Rate according to DoH 4.64%

Doh State Report PDF

Counties reports PDF

State Linelist PDF State hasn't updated linelist yet

Arcgis

Excel Sheet for accurate numbers of new cases, residents, non-residents, death, hospitalizations, testing, Negatives, and positive trend.

CovidTrends will update after 6 pm est.

Johns Hopkins Positive trend chart

Johns Hopkins Track Testing Trend

ICU and Hospitalization beds Avabilable

u/scottallyn Covid Charts

Those of you questioning the testing numbers for New People I got is by subtracting the total negatives residents ( 4,938,900 -4,912,544= 26,356) than do the same with non-residents ( 12,719 -12,704 =15) adding the New Cases New Negative=Total New Tests for residents and non-residents ( 3,968 26,356=30,324 ) ( 76 15=91) then combine both testing numbers (30,324 91=30,415 ) which excludes Inconclusive and "Awaiting testing" for the day. Calculate it is 4,044 /30,415 =13.30% If anyone doubts the positivity rate and testing numbers check CovidTrends and Johns Hopkins.

Adding this type of positivity rates due to a few people who think that the New Individual Positivity rate is misinformation the 13.30% since it's not including duplicates negatives. With Total Tested check the County Report because that the true testing number for Negatives which can be found in County report as stated " These counts include the number of people for whom the department received PCR or antigen laboratory results by day. This percent is the number of people who test positive for the first time divided by all the people tested that day, excluding people who have previously tested positive." So add 4,025 73,219 =77,244 4,025 / 77,244 =5.21% Calculation version its similar to just different positive numbers 4,044 73,219 = 77,263 4,044 /77,263=5.23%.

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Probably because we’re all (mostly) wearing masks here.

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