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10.1093/pubmed/fdaa193 http://scihub22266oqcxt.onion/10.1093/pubmed/fdaa193 33097928!7665668!33097928     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       J+Public+Health+(Oxf) 2021 ; 43 (1): 107-110 Nephropedia Template TP {{tp|p=33097928|t=2021. Using Benford s law to assess the quality of COVID-19 register data in Brazil |pdf=|usr=}}{{33097928}} gab.com Text Using Benford s law to assess the quality of COVID-19 register data in Brazil JO: J Public Health (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=33097928 #FOAvip We employ Newcomb-Benford law (NBL) to evaluate the reliability of COVID-19 figures in Brazil. Using official data from February 25 to September 15, we apply a first digit test for a national aggregate dataset of total cases and cumulative deaths. We find strong evidence that Brazilian reports do not conform to the NBL theoretical expectations. These results are robust to different goodness of fit (chi-square, mean absolute deviation and distortion factor) and data sources (John Hopkins University and Our World in Data). Despite the growing appreciation for evidence-based-policymaking, which requires valid and reliable data, we show that the Brazilian epidemiological surveillance system fails to provide trustful data under the NBL assumption on the COVID-19 epidemic. Twit Text FOAVip Using Benford s law to assess the quality of COVID-19 register data in Brazil ????J Public Health (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=33097928 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33097928 #FOAvip English Wikipedia <ref>{{Cite pmid|33097928}}</ref> Using Benford s law to assess the quality of COVID-19 register data in Brazil #MMPMID33097928 Silva L; Figueiredo Filho D J Public Health (Oxf) 2021[Apr]; 43 (1): 107-110 PMID33097928show ga We employ Newcomb-Benford law (NBL) to evaluate the reliability of COVID-19 figures in Brazil. Using official data from February 25 to September 15, we apply a first digit test for a national aggregate dataset of total cases and cumulative deaths. We find strong evidence that Brazilian reports do not conform to the NBL theoretical expectations. These results are robust to different goodness of fit (chi-square, mean absolute deviation and distortion factor) and data sources (John Hopkins University and Our World in Data). Despite the growing appreciation for evidence-based-policymaking, which requires valid and reliable data, we show that the Brazilian epidemiological surveillance system fails to provide trustful data under the NBL assumption on the COVID-19 epidemic. |*Registries[MESH] |Brazil/epidemiology[MESH] |COVID-19/*epidemiology[MESH] |Chi-Square Distribution[MESH] |Data Interpretation, Statistical[MESH] |Datasets as Topic[MESH] |Humans[MESH] |Models, Theoretical[MESH] |Population Surveillance[MESH]Using Benford s law to assess the quality of COVID-19 register data in(epmc).pdf DeepDyve Pubget Overpricing