Economic Impact Evaluation of COVID‐19 Public Health Management Across Countries

COVID-19 crisis has significantly impacted global economic growth. Assessing the economic impacts of various policies is crucial to better public health management (PHM). To incorporate specific PHM policies into a unified framework, prevention and control intensity (PCI) is introduced to quantify the intensity of PHM. Under different PCI, we construct a statistical framework to estimate each economy's counterfactual output, thereby providing two indicators to assess the effectiveness of PHM adopted by certain economies. Empirical analysis measures the effectiveness of PHM in each of the 137 economies during COVID-19 in 2020. Further analysis is conducted through robustness tests and regression discontinuity design. Aggregated results from 137 economies indicate that COVID-19 may have caused global economic losses far exceeding 5.47 trillion US dollars in 2020. Statistical indicators reveal that 39 economies reduced economic loss through PHM, while 25 economies achieved relatively ideal economic output targets. These findings suggest that moderate prevention and control measures can significantly reduce economic losses and highlight the necessity for most countries to strengthen their PHM strategies to enhance economic resilience and recovery.

Authors

Institutions

Publication Details

Journal
The International Journal of Health Planning and Management
Published
2026-05-18
DOI
https://doi.org/10.1002/hpm.70089
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Economic Impact Evaluation of COVID‐19 Public Health Management Across Countries

Dongping Bai, Zhe Hu, Yunhao Wang, Zhaoyang Shang et al.
The International Journal of Health Planning and Management
COVID-19 Pandemic Impacts
article

Economic Impact Evaluation of COVID‐19 Public Health Management Across Countries

Dongping Bai, Zhe Hu, Yunhao Wang, Zhaoyang Shang, Yixuan Liu, Wei Gao
article en

Abstract

COVID-19 crisis has significantly impacted global economic growth. Assessing the economic impacts of various policies is crucial to better public health management (PHM). To incorporate specific PHM policies into a unified framework, prevention and control intensity (PCI) is introduced to quantify the intensity of PHM. Under different PCI, we construct a statistical framework to estimate each economy's counterfactual output, thereby providing two indicators to assess the effectiveness of PHM adopted by certain economies. Empirical analysis measures the effectiveness of PHM in each of the 137 economies during COVID-19 in 2020. Further analysis is conducted through robustness tests and regression discontinuity design. Aggregated results from 137 economies indicate that COVID-19 may have caused global economic losses far exceeding 5.47 trillion US dollars in 2020. Statistical indicators reveal that 39 economies reduced economic loss through PHM, while 25 economies achieved relatively ideal economic output targets. These findings suggest that moderate prevention and control measures can significantly reduce economic losses and highlight the necessity for most countries to strengthen their PHM strategies to enhance economic resilience and recovery.

The International Journal of Health Planning and Management
Zhongnan University of Economics and Law (CN), Jilin University of Finance and Economics (CN), Northeast Normal University (CN), Jilin University (CN), Academy of Mathematics and Systems Science (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
COVID-19 Pandemic Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.