Table_1_Cost-Effectiveness of Public Health Measures to Control COVID-19 in China: A Microsimulation Modeling Study.DOCX (139.15 kB)
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Table_1_Cost-Effectiveness of Public Health Measures to Control COVID-19 in China: A Microsimulation Modeling Study.DOCX

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posted on 04.01.2022, 04:18 authored by Qiang Wang, Naiyang Shi, Jinxin Huang, Liuqing Yang, Tingting Cui, Jing Ai, Hong Ji, Ke Xu, Tauseef Ahmad, Changjun Bao, Hui Jin

This study aimed to assess the cost-effectiveness of various public health measures in dealing with coronavirus disease 2019 (COVID-19) in China. A stochastic agent-based model was used to simulate the progress of the COVID-19 outbreak in scenario I (imported one case) and scenario II (imported four cases) with a series of public health measures. The main outcomes included the avoided infections and incremental cost-effectiveness ratios (ICERs). Sensitivity analyses were performed to assess uncertainty. The results indicated that isolation-and-quarantine averted the COVID-19 outbreak at the lowest ICERs. The joint strategy of personal protection and isolation-and-quarantine averted one more case than only isolation-and-quarantine with additional costs. The effectiveness of isolation-and-quarantine decreased with lowering quarantine probability and increasing delay time. The strategy that included community containment would be cost-effective when the number of imported cases was >65, or the delay time of the quarantine was more than 5 days, or the quarantine probability was below 25%, based on current assumptions. In conclusion, isolation-and-quarantine was the most cost-effective intervention. However, personal protection combined with isolation-and-quarantine was the optimal strategy for averting more cases. The community containment could be more cost-effective as the efficiency of isolation-and-quarantine drops and the imported cases increases.

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