Sarkar Jayanta
School of Economics and Finance, Faculty of Business and Law, Queensland University of Technology, 2 George Street, Z862, Brisbane, QLD 4000, Australia.
Econ Anal Policy. 2022 Sep;75:310-319. doi: 10.1016/j.eap.2022.05.014. Epub 2022 May 28.
Large scale vaccination of population is widely accepted to be the key to recovery from the devastating economic and public health impacts of the COVID-19 pandemic. However, low uptake of vaccine has challenged vaccination efforts in many parts of the world. The paper explores the determinants of demand for COVID-19 vaccination - specifically, the prevalence dependence hypothesis - that identifies infection prevalence and mortality as the key drivers of individual preventive behavior against infectious diseases. Using daily disease tracking and vaccination data from 47 European countries the paper finds strong evidence that COVID-19 infection rate and mortality rate drive future vaccination uptake. Specifically, results from fixed effects models suggest that while lagged infection prevalence induce vaccination uptake by 0.18 to 0.24 percent, while the effect of lagged mortality is significantly larger, ranging between 1.10 to 1.53 percent. The results highlight the critical role of behavioral response to epidemiological outcomes and are of critical significance for COVID-19 mitigation policies, especially as they relate to achieving vaccine-induced herd immunity and economic reopening.
大规模人群疫苗接种被广泛认为是从新冠疫情造成的毁灭性经济和公共卫生影响中恢复的关键。然而,疫苗接种率低对世界许多地区的疫苗接种工作构成了挑战。本文探讨了新冠疫苗接种需求的决定因素——具体而言,是流行率依赖性假说——该假说将感染流行率和死亡率确定为个体针对传染病的预防行为的关键驱动因素。利用来自47个欧洲国家的每日疾病跟踪和疫苗接种数据,本文发现有力证据表明,新冠感染率和死亡率推动了未来的疫苗接种率。具体而言,固定效应模型的结果表明,滞后的感染流行率使疫苗接种率提高了0.18%至0.24%,而滞后死亡率的影响显著更大,在1.10%至1.53%之间。这些结果凸显了行为对流行病学结果的反应的关键作用,对新冠疫情缓解政策具有至关重要的意义,特别是在它们与实现疫苗诱导的群体免疫和经济重新开放相关的方面。