As a way of slowing COVID-19 transmission, many countries and U.S. states implemented shelter-in-place (SIP) policies. However, the effects of SIP policies on public health are a priori ambiguous as they might have unintended adverse effects on health. The effect of SIP policies on COVID-19 transmission and physical mobility is mixed. To understand the net effects of SIP policies, we measure the change in excess deaths following the implementation of SIP policies in 43 countries and all U.S. states. We use an event study framework to quantify changes in the number of excess deaths after the implementation of a SIP policy. We find that following the implementation of SIP policies, excess mortality increases. The increase in excess mortality is statistically significant in the immediate weeks following SIP implementation for the international comparison only and occurs despite the fact that there was a decline in the number of excess deaths prior to the implementation of the policy. At the U.S. state-level, excess mortality increases in the immediate weeks following SIP introduction and then trends below zero following 20 weeks of SIP implementation. We failed to find that countries or U.S. states that implemented SIP policies earlier, and in which SIP policies had longer to operate, had lower excess deaths than countries/U.S. states that were slower to implement SIP policies. We also failed to observe differences in excess death trends before and after the implementation of SIP policies based on pre-SIP COVID-19 death rates.
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which pushed Dane County this week not to calculate its percentage of positive tests — a data point the public uses to determine how intense infection is in an area.
While positive test results are being processed and their number reported quickly, negative test results are taking days in some cases to be analyzed before they are reported to the state.
The department said it was between eight and 10 days behind in updating that metric on the dashboard, and as a result it appeared to show a higher positive percentage of tests and a lower number of total tests per day.
The department said this delay is due to the fact data analysts must input each of the hundreds of tests per day manually, and in order to continue accurate and timely contact tracing efforts, they prioritized inputting positive tests.
“Positive tests are always immediately verified and processed, and delays in processing negative tests in our data system does not affect notification of test results,” the department said in a news release. “The only effect this backlog has had is on our percent positivity rate and daily test counts.”
Staff have not verified the approximately 17,000 tests, which includes steps such as matching test results to patients to avoid duplicating numbers and verifying the person who was tested resides in Dane County.
All 77 false-positive COVID-19 tests come back negative upon reruns.
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