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10.3389/fpubh.2020.00286 http://scihub22266oqcxt.onion/10.3389/fpubh.2020.00286 32582620!7296149!32582620     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Public+Health 2020 ; 8 (ä): 286 Nephropedia Template TP {{tp|p=32582620|t=2020. Hyperlocal Postcode Based Crowdsourced Surveillance Systems in the COVID-19 Pandemic Response |pdf=|usr=}}{{32582620}} gab.com Text Hyperlocal Postcode Based Crowdsourced Surveillance Systems in the COVID-19 Pandemic Response JO: Front Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32582620 #FOAvip The SARS-CoV-2 pandemic has rapidly saturated healthcare resources across the globe and has led to a restricted screening process, hindering efforts at comprehensive case detection. This has not only facilitated community spread but has also resulted in an underestimation of the true incidence of disease, a statistic which is useful for policy making aimed at controlling the current pandemic and in preparing for future outbreaks. In this perspective, we present a crowdsourced platform developed by us for the true estimation of all SARS-CoV-2 infections in the community, through active self-reporting and layering other authentic datasets. The granularity of data captured by this system could prove to be useful in assisting governments to identify SARS-CoV-2 hotspots in the community facilitating lifting of restrictions in a controlled fashion. Twit Text FOAVip Hyperlocal Postcode Based Crowdsourced Surveillance Systems in the COVID-19 Pandemic Response ????Front Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32582620 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32582620 #FOAvip English Wikipedia <ref>{{Cite pmid|32582620}}</ref> Hyperlocal Postcode Based Crowdsourced Surveillance Systems in the COVID-19 Pandemic Response #MMPMID32582620 Hegde A; Masthi R; Krishnappa D Front Public Health 2020[]; 8 (ä): 286 PMID32582620show ga The SARS-CoV-2 pandemic has rapidly saturated healthcare resources across the globe and has led to a restricted screening process, hindering efforts at comprehensive case detection. This has not only facilitated community spread but has also resulted in an underestimation of the true incidence of disease, a statistic which is useful for policy making aimed at controlling the current pandemic and in preparing for future outbreaks. In this perspective, we present a crowdsourced platform developed by us for the true estimation of all SARS-CoV-2 infections in the community, through active self-reporting and layering other authentic datasets. The granularity of data captured by this system could prove to be useful in assisting governments to identify SARS-CoV-2 hotspots in the community facilitating lifting of restrictions in a controlled fashion. |*Crowdsourcing[MESH] |*Geographic Information Systems[MESH] |*Mass Screening[MESH] |*Population Surveillance[MESH] |*Self Report[MESH] |COVID-19/*epidemiology[MESH] |Disease Outbreaks[MESH] |Humans[MESH] |Public Health[MESH]Hyperlocal Postcode Based Crowdsourced Surveillance Systems in the COV(epmc).pdf DeepDyve Pubget Overpricing