Literature DB >> 32457528

National COVID numbers - Benford's law looks for errors.

Malcolm Sambridge, Andrew Jackson.   

Abstract

Entities:  

Keywords:  Communication; Databases; SARS-CoV-2

Mesh：

Year:  2020        PMID： 32457528     DOI： 10.1038/d41586-020-01565-5

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


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  4 in total

1.  SEIRD model to study the asymptomatic growth during COVID-19 pandemic in India.

Authors:  Saptarshi Chatterjee; Apurba Sarkar; Mintu Karmakar; Swarnajit Chatterjee; Raja Paul
Journal:  Indian J Phys Proc Indian Assoc Cultiv Sci (2004)       Date:  2020-11-20

2.  Using the Newcomb-Benford law to study the association between a country's COVID-19 reporting accuracy and its development.

Authors:  Vadim S Balashov; Yuxing Yan; Xiaodi Zhu
Journal:  Sci Rep       Date:  2021-11-25       Impact factor: 4.379

3.  Does 'Data fudging' explain the autocratic advantage? Evidence from the gap between Official Covid-19 mortality and excess mortality.

Authors:  Eric Neumayer; Thomas Plümper
Journal:  SSM Popul Health       Date:  2022-09-30

Review 4.  Challenges to detect SARS-CoV-2 on environmental media, the need and strategies to implement the detection methodologies in wastewaters.

Authors:  Javier E Sanchez-Galan; Grimaldo Ureña; Luis F Escovar; Jose R Fabrega-Duque; Alexander Coles; Zohre Kurt
Journal:  J Environ Chem Eng       Date:  2021-06-29
  4 in total

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