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Economic burden of COVID-19, China, January-March, 2020: a cost-of-illness study
Huajie Jin1, Haiyin Wang2, Xiao Li3
1King's Health Economics, Institute of Psychiatry, Psychology & Neuroscience at King's College London, Box 024, The David Goldberg Centre, London, SE5 8AF, England.
Insights
The COVID-19 pandemic imposed a significant economic burden on China, with societal costs primarily driven by productivity losses from control measures. These losses represented 2.7% of China's gross domestic product.
Area of Science:
- Public Health
- Health Economics
- Epidemiology
Background:
- The COVID-19 pandemic presented unprecedented challenges globally.
- Understanding the economic impact is crucial for policy-making and future preparedness.
Purpose of the Study:
- To estimate the comprehensive economic costs of COVID-19 in China.
- To analyze costs across 31 provincial-level administrative regions and nationally.
Main Methods:
- Data sourced from government reports, clinical guidelines, and publications.
- Cost components included contact tracing, case management, treatment, quarantine, and productivity losses.
- Primary outcomes measured were total health-care and societal costs from January to March 2020.
Main Results:
- Total health-care costs reached ¥4.26 billion (US$0.62 billion), with inpatient care and medicines as primary drivers.
- Societal costs were substantial at ¥2646.70 billion (US$383.02 billion), dominated by productivity losses (99.8%).
- Productivity losses were mainly due to movement restrictions impacting individuals without COVID-19; Hubei and Guangdong provinces incurred the highest health-care and societal costs, respectively.
Conclusions:
- The COVID-19 outbreak imposed a high economic burden on China.
- Disease control measures, particularly movement restrictions, led to significant productivity losses.
- These productivity losses constituted 2.7% of China's annual GDP, underscoring the economic impact of pandemic control strategies.
Objective:
To estimate the economic cost of coronavirus disease 19 (COVID-19) in 31 provincial-level administrative regions and in total, in China.
Methods:
We used data from government reports, clinical guidelines and other publications to estimate the main cost components of COVID-19 during 1 January-31 March 2020. These components were: identification and diagnosis of close contacts; suspected cases and confirmed cases of COVID-19; treatment of COVID-19 cases; compulsory quarantine of close contacts and suspected cases; and productivity losses for all affected residents. Primary outcomes were total health-care and societal costs.
Findings:
The total estimated health-care and societal costs associated with COVID-19 were 4.26 billion Chinese yuan (¥; 0.62 billion United States dollars, US$) and ¥ 2646.70 billion (US$ 383.02 billion), respectively. Inpatient care accounted for 44.2% (¥ 0.95 billion/¥ 2.15 billion) of routine health-care costs followed by medicines, accounting for 32.5% (¥ 0.70 billion/¥ 2.15 billion). Productivity losses accounted for 99.8% (¥ 2641.61 billion/¥ 2646.70 billion) of societal costs, which were mostly attributable to the effect of movement-restriction policies on people who did not have COVID-19. Societal costs were most sensitive to salary costs and number of working days lost due to movement-restriction policies. Hubei province had the highest health-care cost while Guangdong province had the highest societal cost.
Conclusion:
Our results highlight the high economic burden of the COVID-19 outbreak in China. The control measures to prevent the spread of disease resulted in substantial costs from productivity losses amounting to 2.7% (US$ 382.29 billion/US$ 14.14 trillion) of China's annual gross domestic product.
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