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Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO’s Situation Reports
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231903/ https://www.ncbi.nlm.nih.gov/pubmed/32408808 http://dx.doi.org/10.1177/1010539520927265 |
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author | Idrovo, Alvaro Javier Manrique-Hernández, Edgar Fabián |
author_facet | Idrovo, Alvaro Javier Manrique-Hernández, Edgar Fabián |
author_sort | Idrovo, Alvaro Javier |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7231903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-72319032020-05-18 Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO’s Situation Reports Idrovo, Alvaro Javier Manrique-Hernández, Edgar Fabián Asia Pac J Public Health COVID Articles 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. SAGE Publications 2020-05-14 2020-05 /pmc/articles/PMC7231903/ /pubmed/32408808 http://dx.doi.org/10.1177/1010539520927265 Text en © 2020 APJPH https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | COVID Articles Idrovo, Alvaro Javier Manrique-Hernández, Edgar Fabián Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO’s Situation Reports |
title | Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO’s Situation Reports |
title_full | Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO’s Situation Reports |
title_fullStr | Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO’s Situation Reports |
title_full_unstemmed | Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO’s Situation Reports |
title_short | Data Quality of Chinese Surveillance of COVID-19: Objective Analysis Based on WHO’s Situation Reports |
title_sort | data quality of chinese surveillance of covid-19: objective analysis based on who’s situation reports |
topic | COVID Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231903/ https://www.ncbi.nlm.nih.gov/pubmed/32408808 http://dx.doi.org/10.1177/1010539520927265 |
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