疫苗接种对土耳其Covid-19发病率时空扩散的影响

IF 3.3 3区 地球科学 Q1 GEOGRAPHY Geographical Analysis Pub Date : 2022-06-04 DOI:10.1111/gean.12335
Firat Bilgel, Burhan Can Karahasan
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引用次数: 0

摘要

本研究评估了疫苗接种工作对土耳其Covid-19发病率增长的时空影响。结合SARS-CoV-2传播的地理特征,我们采用了一个空间易感-感染-恢复(SIR)模型,作为我们经验规范的指导。利用省级每周面板数据,我们估计了一个动态空间自回归(SAR)模型,以阐明疫苗接种对Covid-19发病率增长的短期和长期影响,控制了时间和时空扩散、检测能力、社会距离行为和未观察到的空间变化混杂因素。结果表明,疫苗接种增长通过在空间上产生正外部性,直接和间接地降低了Covid-19发病率增长率。疫苗接种与Covid-19发病率之间的显著关联在一系列空间权重矩阵规范中是稳健的。在所有指标中都发现了Covid-19发病率增长的明显时空扩散效应:前者对疫情防控的威胁比后者更严重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Effects of Vaccination and the Spatio-Temporal Diffusion of Covid-19 Incidence in Turkey

This study assesses the spatio-temporal impact of vaccination efforts on Covid-19 incidence growth in Turkey. Incorporating geographical features of SARS-CoV-2 transmission, we adopt a spatial Susceptible–Infected–Recovered (SIR) model that serves as a guide of our empirical specification. Using provincial weekly panel data, we estimate a dynamic spatial autoregressive (SAR) model to elucidate the short- and the long-run impact of vaccination on Covid-19 incidence growth after controlling for temporal and spatio-temporal diffusion, testing capacity, social distancing behavior and unobserved space-varying confounders. Results show that vaccination growth reduces Covid-19 incidence growth rate directly and indirectly by creating a positive externality over space. The significant association between vaccination and Covid-19 incidence is robust to a host of spatial weight matrix specifications. Conspicuous spatial and temporal diffusion effects of Covid-19 incidence growth were found across all specifications: the former being a severer threat to the containment of the pandemic than the latter.

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来源期刊
CiteScore
8.70
自引率
5.60%
发文量
40
期刊介绍: First in its specialty area and one of the most frequently cited publications in geography, Geographical Analysis has, since 1969, presented significant advances in geographical theory, model building, and quantitative methods to geographers and scholars in a wide spectrum of related fields. Traditionally, mathematical and nonmathematical articulations of geographical theory, and statements and discussions of the analytic paradigm are published in the journal. Spatial data analyses and spatial econometrics and statistics are strongly represented.
期刊最新文献
Issue Information The Multiple Gradual Maximal Covering Location Problem Correction to “A hybrid approach for mass valuation of residential properties through geographic information systems and machine learning integration” Plausible Reasoning and Spatial‐Statistical Theory: A Critique of Recent Writings on “Spatial Confounding” The Regionalization and Aggregation of In‐App Location Data to Maximize Information and Minimize Data Disclosure
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