This paper is in the following e-collection/theme issue:

Cross-Sectional Studies in Public Health (431) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) Outbreak and Pandemic Preparedness and Management (1826) Public Health Informatics (135) Collateral Damage of the Pandemic: Excess deaths due to disruptions in healthcare and lockdowns (18) Organizational Issues (221) E-Health Policy and Health Systems Innovation (341)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69768, first published .
Trends in Avoidable Hospitalizations Before and During the COVID-19 Pandemic: Multiple Cross-Sectional Study Using Administrative Data From Beijing, China

Trends in Avoidable Hospitalizations Before and During the COVID-19 Pandemic: Multiple Cross-Sectional Study Using Administrative Data From Beijing, China

Trends in Avoidable Hospitalizations Before and During the COVID-19 Pandemic: Multiple Cross-Sectional Study Using Administrative Data From Beijing, China

Authors of this article:

Xiangzhen Wang1 Author Orcid Image ;   Yin Chen2 Author Orcid Image ;   Yuqi Ta3 Author Orcid Image ;   Moning Guo2 Author Orcid Image ;   Hongqiao Fu1 Author Orcid Image
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Xiangzhen Wang   1 * , MPH ;   Yin Chen   2 * , MM ;   Yuqi Ta   3 , PhD ;   Moning Guo   2 , MPH ;   Hongqiao Fu   1 , PhD

1 School of Public Health, Peking University, Beijing, China

2 Beijing Municipal Health Big Data and Policy Research Center, Beijing, China

3 School of Public Finance and Taxation, Central University of Finance and Economics, Beijing, China

*these authors contributed equally

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