Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO’s Situation Reports | Zendy

Álvaro J. Idrovo | Zendy; Edgar Fabián Manrique-Hernández | Zendy

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Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO’s Situation Reports

Author(s) -

Álvaro J. Idrovo,

Edgar Fabián Manrique-Hernández

Publication year - 2020

Publication title -

asia pacific journal of public health

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.572

H-Index - 37

eISSN - 1941-2479

pISSN - 1010-5395

DOI - 10.1177/1010539520927265

Subject(s) - china , pandemic , quality (philosophy) , epidemiology , epidemiological surveillance , covid-19 , complement (music) , data quality , benford's law , environmental health , risk analysis (engineering) , computer science , medicine , data science , business , political science , law , statistics , marketing , pathology , philosophy , mathematics , metric (unit) , chemistry , biochemistry , epistemology , disease , complementation , infectious disease (medical specialty) , gene , phenotype

Was there quality in the Chinese epidemiological surveillance system during the COVID-19 pandemic? Using data of World Health Organization's situation reports (until situation report 55), an objective analysis was realized to answer this important question. Fulfillment of Benford's law (first digit law) is a rapid tool to suggest good data quality. Results suggest that China had an acceptable quality in its epidemiological surveillance system. Furthermore, more detailed and complete analyses could complement the evaluation of the Chinese surveillance system.

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