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COVID-19 Numbers Updates Presentation and Reporting Updates

September 14, 2020 Covid-19 Numbers

Monday, September 14, 2020

NEW REPORTS:

16 New Resident Cases Added
Resident Active Increase: 16
Resident Recovered Increase: 0
Resident Deaths Increase: 0
0 New GEO Detainee Cases
0 New CoreCivic Detainee Cases
1 New TDCJ Briscoe Offender Cases

FULL DASHBOARD CHARTS AND GRAPHS

NY Times posted an article on September 13th with the headline and lede: “Conflicting Virus Data in Texas Raises Distrust of the Government. Delays, discrepancies and abrupt leaps in coronavirus case and death counts in Texas have baffled residents and frustrated local officials.”

This was already common knowledge for anyone tasked with trying to relay numbers to residents in Texas on a local level. One day after the NY Times article, The Texas Department of State Health Services posted two reporting updates.

Frio County residents frequently ask about “positivity rate,” which tells us how many people were tested compared to how many tests resulted in a positive. Texas Department of State Health Services announced the availability of that information on their dashboard with a change in how it’s been calculated.

Furthermore, DSHS announced another change to methodology yesterday:

“DSHS revised its method for reporting Total Tests, effective 9/14/2020. DSHS will now only report electronic lab results that have passed quality checks and have cleared into the state‚Äôs system of record, NEDSS, the National Electronic Disease Surveillance System. This improvement is possible due to recent upgrades to NEDSS, which now processes data more quickly.

The revised methodology ensures data is fully deduplicated and that only tests that passed through the data submission quality checks are counted in Total Tests. Test submissions that error out of the system due to data quality issues will not be counted until they are successfully resubmitted and pass validation requirements. Additionally, Total Tests will no longer include faxes or aggregate counts received by various labs since there is not a timely way to complete data quality checks. ”