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A benefit–cost analysis of different response scenarios to COVID-19: A case study

机译:对Covid-19不同响应情景的益处 - 成本分析:案例研究

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Background This paper compares the direct benefits to the State of Western Australia from employing a “suppression” policy response to the COVID-19 pandemic rather than a “herd immunity” approach. Methods An S-I-R (susceptible-infectious-resolved) model is used to estimate the likely benefits of a suppression COVID-19 response compared to a herd immunity alternative. Direct impacts of the virus are calculated on the basis of sick leave, hospitalizations, and fatalities, while indirect impacts related to response actions are excluded. Results Preliminary modeling indicates that approximately 1700 vulnerable person deaths are likely to have been prevented over 1 year from adopting a suppression response rather than a herd immunity response, and approximately 4500 hospitalizations. These benefits are valued at around AUD4.7 billion. If a do nothing policy had been adopted, the number of people in need of hospitalization is likely to have overwhelmed the hospital system within 50?days of the virus being introduced. Maximum hospital capacity is unlikely to be reached in either a suppression policy or a herd immunity policy. Conclusion Using early international estimates to represent the negative impact each type of policy response is likely to have on gross state product, results suggest the benefit–cost ratio for the suppression policy is slightly higher than that of the herd immunity policy, but both benefit–cost ratios are less than one.
机译:背景技术本文将西澳大利亚州的直接福利与对Covid-19流行的“抑制”的政策响应相比,而不是“畜牧业”方法。方法使用S-I-R(易感染性解决)模型用于估计抑制covid-19反应的可能益处与群体免疫替代方案相比。病毒的直接影响是根据病假,住院治疗和死亡的基础计算,而与响应行动有关的间接影响被排除在外。结果初步建模表明,在采用抑制反应而不是畜群免疫力反应,大约有1700人死亡可能会被预防超过1700名弱势群体死亡,以及约4500名住院治疗。这些福利在约47亿澳元受到重视。如果没有通过政策,需要住院治疗的人数可能会在50岁以下的病毒中淹没医院系统。在抑制政策或畜群免疫政策中,最大的医院容量不太可能达成。结论利用早期国际估计代表负面影响每种类型的政策响应可能对总国家产品有所可能,结果表明抑制政策的福利成本比率略高于畜群免疫政策,但两者都有益于 - 成本比率小于一个。

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