COVID-19时空流行病学中发病率和疫苗接种的联合测定

IF 2.1 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Spatial and Spatio-Temporal Epidemiology Pub Date : 2023-09-28 DOI:10.1016/j.sste.2023.100621
Michael Beenstock , Daniel Felsenstein , Matan Gdaliahu
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引用次数: 0

摘要

本文研究了新冠肺炎发病率与疫苗接种之间的相互依赖性。提出了一种内生免疫理论,其中接种疫苗的决定与传染风险直接相关,公众自我选择自我保护。因此,新冠肺炎发病率与疫苗接种情况呈反比,而疫苗接种情况与新冠肺炎发病率直接相关。该论文利用发病率和免疫之间的自然顺序来确定这种关系动态中的因果顺序。使用空间计量经济学方法,在高空间粒度水平上对以色列的每周面板数据估计了一个修正的SIR模型。空间单元之间的连通性是使用物理接近度和独特的基于移动性的测量来测量的。发病率和疫苗接种推广的时空模型表明,发病率不仅与疫苗接种推广呈反比,疫苗接种推广也与发病率直接相关。强调了该模型对公共卫生政策目标的实用性。
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The joint determination of morbidity and vaccination in the spatiotemporal epidemiology of COVID-19

This paper examines the mutual dependence between COVID-19 morbidity and vaccination rollout. A theory of endogenous immunization is proposed in which the decision to become vaccinated varies directly with the risks of contagion, and the public self-selects into self-protection. Hence, COVID-19 morbidity varies inversely with vaccination rollout, and vaccination rollout varies directly with COVID-19 morbidity. The paper leverages the natural sequencing between morbidity and immunization to identify the causal order in the dynamics of this relationship. A modified SIR model is estimated using spatial econometric methods for weekly panel data for Israel at a high level of spatial granularity. Connectivity between spatial units is measured using physical proximity and a unique mobility-based measure. Spatiotemporal models for morbidity and vaccination rollout show that not only does morbidity vary inversely with vaccination rollout, vaccination rollout varies directly with morbidity. The utility of the model for public health policy targeting, is highlighted.

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来源期刊
Spatial and Spatio-Temporal Epidemiology
Spatial and Spatio-Temporal Epidemiology PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
5.10
自引率
8.80%
发文量
63
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