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中国新冠肺炎监测数据质量:基于世界卫生组织情况报告的客观分析。

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

机构信息

Universidad Industrial de Santander, Bucaramanga, Santander, Colombia.

出版信息

Asia Pac J Public Health. 2020 May;32(4):165-167. doi: 10.1177/1010539520927265. Epub 2020 May 14.

Abstract

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.

摘要

在 COVID-19 大流行期间,中国的流行病学监测系统是否具有质量?使用世界卫生组织情况报告的数据(截至第 55 号情况报告),进行了客观分析以回答这个重要问题。满足本福德定律(首位数字定律)是一种快速工具,可以提示数据质量良好。结果表明,中国的流行病学监测系统具有可接受的质量。此外,更详细和完整的分析可以补充对中国监测系统的评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0631/7370653/97613e602c6b/10.1177_1010539520927265-fig1.jpg

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