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10.1093/pubmed/fdaa081 http://scihub22266oqcxt.onion/10.1093/pubmed/fdaa081 32657332!7454731!32657332     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32657332&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       J+Public+Health+(Oxf) 2020 ; 42 (4): 660-664 Nephropedia Template TP {{tp|p=32657332|t=2020. Using informatics to guide public health policy during the COVID-19 pandemic in the USA |pdf=|usr=}}{{32657332}} gab.com Text Using informatics to guide public health policy during the COVID-19 pandemic in the USA JO: J Public Health (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=32657332 #FOAvip BACKGROUND: Current and future pandemics will require informatics solutions to assess the risks, resources and policies to guide better public health decision-making. METHODS: Cross-sectional study of all COVID-19 cases and deaths in the USA on a population- and resource-adjusted basis (as of 24 April 2020) by applying biomedical informatics and data visualization tools to several public and federal government datasets, including analysis of the impact of statewide stay-at-home orders. RESULTS: There were 2753.2 cases and 158.0 deaths per million residents, respectively, in the USA with variable distributions throughout divisions, regions and states. Forty-two states and Washington, DC, (84.3%) had statewide stay-at-home orders, with the remaining states having population-adjusted characteristics in the highest risk quartile. CONCLUSIONS: Effective national preparedness requires clearly understanding states' ability to predict, manage and balance public health needs through all stages of a pandemic. This will require leveraging data quickly, correctly and responsibly into sound public health policies. Twit Text FOAVip Using informatics to guide public health policy during the COVID-19 pandemic in the USA ????J Public Health (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=32657332 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32657332 #FOAvip English Wikipedia <ref>{{Cite pmid|32657332}}</ref> Using informatics to guide public health policy during the COVID-19 pandemic in the USA #MMPMID32657332 Ronquillo JG; Lester WT; Zuckerman DM J Public Health (Oxf) 2020[Nov]; 42 (4): 660-664 PMID32657332show ga BACKGROUND: Current and future pandemics will require informatics solutions to assess the risks, resources and policies to guide better public health decision-making. METHODS: Cross-sectional study of all COVID-19 cases and deaths in the USA on a population- and resource-adjusted basis (as of 24 April 2020) by applying biomedical informatics and data visualization tools to several public and federal government datasets, including analysis of the impact of statewide stay-at-home orders. RESULTS: There were 2753.2 cases and 158.0 deaths per million residents, respectively, in the USA with variable distributions throughout divisions, regions and states. Forty-two states and Washington, DC, (84.3%) had statewide stay-at-home orders, with the remaining states having population-adjusted characteristics in the highest risk quartile. CONCLUSIONS: Effective national preparedness requires clearly understanding states' ability to predict, manage and balance public health needs through all stages of a pandemic. This will require leveraging data quickly, correctly and responsibly into sound public health policies. |*Medical Informatics[MESH] |*Public Health Administration[MESH] |*Public Policy[MESH] |COVID-19/*epidemiology/mortality[MESH] |Cross-Sectional Studies[MESH] |Datasets as Topic[MESH] |Government Regulation[MESH] |Humans[MESH] |Pandemics[MESH] |Physical Distancing[MESH] |Quarantine[MESH] |SARS-CoV-2[MESH]Using informatics to guide public health policy during the COVID-19 pa(epmc).pdf DeepDyve Pubget Overpricing