Benford’s Law and COVID-19 reporting()

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...

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Autores principales: Koch, Christoffer, Okamura, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487520/
https://www.ncbi.nlm.nih.gov/pubmed/32952242
http://dx.doi.org/10.1016/j.econlet.2020.109573
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author Koch, Christoffer
Okamura, Ken
author_facet Koch, Christoffer
Okamura, Ken
author_sort Koch, Christoffer
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description 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.
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spelling pubmed-74875202020-09-14 Benford’s Law and COVID-19 reporting() Koch, Christoffer Okamura, Ken Econ Lett Article 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. Elsevier B.V. 2020-11 2020-09-14 /pmc/articles/PMC7487520/ /pubmed/32952242 http://dx.doi.org/10.1016/j.econlet.2020.109573 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Koch, Christoffer
Okamura, Ken
Benford’s Law and COVID-19 reporting()
title Benford’s Law and COVID-19 reporting()
title_full Benford’s Law and COVID-19 reporting()
title_fullStr Benford’s Law and COVID-19 reporting()
title_full_unstemmed Benford’s Law and COVID-19 reporting()
title_short Benford’s Law and COVID-19 reporting()
title_sort benford’s law and covid-19 reporting()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487520/
https://www.ncbi.nlm.nih.gov/pubmed/32952242
http://dx.doi.org/10.1016/j.econlet.2020.109573
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