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10.1016/j.econlet.2020.109573 http://scihub22266oqcxt.onion/10.1016/j.econlet.2020.109573 32952242!7487520!32952242     free     free     free       Econ+Lett 2020 ; 196 (ä): 109573 Nephropedia Template TP {{tp|p=32952242|t=2020. Benford s Law and COVID-19 reporting |pdf=|usr=}}{{32952242}} gab.com Text Benford s Law and COVID-19 reporting JO: Econ Lett http://www.kidney.de/pget.php?&tw=1&pmid=32952242 #FOAvip Trust in the reported data of contagious diseases in real time is important for policy makers. Media and politicians have cast doubt on Chinese reported data on COVID-19 cases. We find Chinese confirmed infections match the distribution expected in Benford's Law and are similar to that seen in the U.S. and Italy. We identify a more likely candidate for problems in the policy making process: Poor multilateral data sharing on testing and sampling. Twit Text FOAVip Benford s Law and COVID-19 reporting ????Econ Lett http://www.kidney.de/pget.php?&tw=1&pmid=32952242 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32952242 #FOAvip English Wikipedia <ref>{{Cite pmid|32952242}}</ref> Benford s Law and COVID-19 reporting #MMPMID32952242 Koch C; Okamura K Econ Lett 2020[Nov]; 196 (ä): 109573 PMID32952242show ga Trust in the reported data of contagious diseases in real time is important for policy makers. Media and politicians have cast doubt on Chinese reported data on COVID-19 cases. We find Chinese confirmed infections match the distribution expected in Benford's Law and are similar to that seen in the U.S. and Italy. We identify a more likely candidate for problems in the policy making process: Poor multilateral data sharing on testing and sampling. äBenford s Law and COVID-19 reporting (epmc).pdf DeepDyve Pubget Overpricing