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10.1016/j.mehy.2020.110200 http://scihub22266oqcxt.onion/10.1016/j.mehy.2020.110200 33254509!7430343!33254509     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       Med+Hypotheses 2020 ; 144 (ä): 110200 Nephropedia Template TP {{tp|p=33254509|t=2020. Household representative sample strategy for COVID-19 large-scale population screening |pdf=|usr=}}{{33254509}} gab.com Text Household representative sample strategy for COVID-19 large-scale population screening JO: Med Hypotheses http://www.kidney.de/pget.php?&tw=1&pmid=33254509 #FOAvip In the advent of COVID-19 pandemic, testing is highly essential to be able to identify, isolate, treat infected persons, and finally curb transmission of this infectious respiratory disease. Group testing has been used previously for various infectious diseases and recently reported for large-scale population testing of COVID-19. However, possible sample dilution as a result of large pool sizes has been reported, limiting testing methods' detection sensitivity. Moreover, the need to sample all individuals prior to pooling overburden the limited resources such as test kits. An alternative proposed strategy where test is performed on pooled samples from individuals representing different households is presented here. This strategy intends to improve group testing method through the reduction in the number of samples collected and pooled during large-scale population testing. Moreover, it introduces database system which enables continuous monitoring of the population's virus exposure for better decision making. Twit Text FOAVip Household representative sample strategy for COVID-19 large-scale population screening ????Med Hypotheses http://www.kidney.de/pget.php?&tw=1&pmid=33254509 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33254509 #FOAvip English Wikipedia <ref>{{Cite pmid|33254509}}</ref> Household representative sample strategy for COVID-19 large-scale population screening #MMPMID33254509 Takyi-Williams J Med Hypotheses 2020[Nov]; 144 (ä): 110200 PMID33254509show ga In the advent of COVID-19 pandemic, testing is highly essential to be able to identify, isolate, treat infected persons, and finally curb transmission of this infectious respiratory disease. Group testing has been used previously for various infectious diseases and recently reported for large-scale population testing of COVID-19. However, possible sample dilution as a result of large pool sizes has been reported, limiting testing methods' detection sensitivity. Moreover, the need to sample all individuals prior to pooling overburden the limited resources such as test kits. An alternative proposed strategy where test is performed on pooled samples from individuals representing different households is presented here. This strategy intends to improve group testing method through the reduction in the number of samples collected and pooled during large-scale population testing. Moreover, it introduces database system which enables continuous monitoring of the population's virus exposure for better decision making. |*COVID-19 Nucleic Acid Testing[MESH] |Biomarkers/analysis[MESH] |COVID-19/*diagnosis/*epidemiology[MESH] |China/epidemiology[MESH] |Cities[MESH] |Communicable Disease Control/methods[MESH] |Decision Making[MESH] |Family Characteristics[MESH] |Family Health[MESH] |Humans[MESH] |Mass Screening/*methods[MESH] |Models, Theoretical[MESH] |Pandemics[MESH] |Reproducibility of Results[MESH]Household representative sample strategy for COVID-19 large-scale popu(epmc).pdf DeepDyve Pubget Overpricing