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10.5888/pcd17.200264 http://scihub22266oqcxt.onion/10.5888/pcd17.200264 32945766!7553229!32945766     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32945766&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Prev+Chronic+Dis 2020 ; 17 (ä): E109 Nephropedia Template TP {{tp|p=32945766|t=2020. Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Outcomes in New York City |pdf=|usr=}}{{32945766}} gab.com Text Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Outcomes in New York City JO: Prev Chronic Dis http://www.kidney.de/pget.php?&tw=1&pmid=32945766 #FOAvip INTRODUCTION: In response to the coronavirus disease 2019 (COVID-19) pandemic, New York City closed all nonessential businesses and restricted the out-of-home activities of residents as of March 22, 2020. This order affected different neighborhoods differently, as stores and workplaces are not randomly distributed across the city, and different populations may have responded differently to the out-of-home restrictions. This study examines how the business closures and activity restrictions affected COVID-19 testing results. An evaluation of whether such actions slowed the spread of the pandemic is a crucial step in designing effective public health policies. METHODS: Daily data on the fraction of COVID-19 tests yielding a positive result at the zip code level were analyzed in relation to the number of visits to local businesses (based on smartphone location) and the number of smartphones that stayed fixed at their home location. The regression model also included vectors of fixed effects for the day of the week, the calendar date, and the zip code of residence. RESULTS: A large number of visits to local businesses increased the positivity rate of COVID-19 tests, while a large number of smartphones that stayed at home decreased it. A doubling in the relative number of visits increases the positivity rate by about 12.4 percentage points (95% CI, 5.3 to 19.6). A doubling in the relative number of stay-at-home devices lowered it by 2.0 percentage points (95% CI, -2.9 to -1.2). The business closures and out-of-home activity restrictions decreased the positivity rate, accounting for approximately 25% of the decline observed in April and May 2020. CONCLUSION: Policy measures decreased the likelihood of positive results in COVID-19 tests. These specific policy tools may be successfully used when comparable health crises arise in the future. Twit Text FOAVip Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Outcomes in New York City ????Prev Chronic Dis http://www.kidney.de/pget.php?&tw=1&pmid=32945766 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32945766 #FOAvip English Wikipedia <ref>{{Cite pmid|32945766}}</ref> Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Outcomes in New York City #MMPMID32945766 Borjas GJ Prev Chronic Dis 2020[Sep]; 17 (ä): E109 PMID32945766show ga INTRODUCTION: In response to the coronavirus disease 2019 (COVID-19) pandemic, New York City closed all nonessential businesses and restricted the out-of-home activities of residents as of March 22, 2020. This order affected different neighborhoods differently, as stores and workplaces are not randomly distributed across the city, and different populations may have responded differently to the out-of-home restrictions. This study examines how the business closures and activity restrictions affected COVID-19 testing results. An evaluation of whether such actions slowed the spread of the pandemic is a crucial step in designing effective public health policies. METHODS: Daily data on the fraction of COVID-19 tests yielding a positive result at the zip code level were analyzed in relation to the number of visits to local businesses (based on smartphone location) and the number of smartphones that stayed fixed at their home location. The regression model also included vectors of fixed effects for the day of the week, the calendar date, and the zip code of residence. RESULTS: A large number of visits to local businesses increased the positivity rate of COVID-19 tests, while a large number of smartphones that stayed at home decreased it. A doubling in the relative number of visits increases the positivity rate by about 12.4 percentage points (95% CI, 5.3 to 19.6). A doubling in the relative number of stay-at-home devices lowered it by 2.0 percentage points (95% CI, -2.9 to -1.2). The business closures and out-of-home activity restrictions decreased the positivity rate, accounting for approximately 25% of the decline observed in April and May 2020. CONCLUSION: Policy measures decreased the likelihood of positive results in COVID-19 tests. These specific policy tools may be successfully used when comparable health crises arise in the future. |*COVID-19 Testing[MESH] |*Clinical Laboratory Techniques/methods/statistics & numerical data[MESH] |*Communicable Disease Control/instrumentation/methods/statistics & numerical data[MESH] |*Coronavirus Infections/diagnosis/epidemiology/prevention & control[MESH] |*Disease Transmission, Infectious/prevention & control/statistics & numerical data[MESH] |*Pandemics/prevention & control[MESH] |*Pneumonia, Viral/epidemiology/prevention & control[MESH] |Betacoronavirus/*isolation & purification[MESH] |COVID-19/diagnosis/epidemiology/prevention & control[MESH] |Commerce/*legislation & jurisprudence[MESH] |Humans[MESH] |New York City/epidemiology[MESH] |Physical Distancing[MESH] |Policy Making[MESH] |Population Health Management[MESH] |Public Health/methods/statistics & numerical data[MESH] |Risk Assessment/methods[MESH] |SARS-CoV-2[MESH]Business Closures, Stay-at-Home Restrictions, and COVID-19 Testing Out(epmc).pdf DeepDyve Pubget Overpricing