COVID-19 metrics across parliamentary constituencies and districts in India

IF 2.7 Q1 GEOGRAPHY
Weiyu Wang, J. Blossom, J. Kim, P. deSouza, Weixing Zhang, Rockli Kim, R. Sarwal, S. Subramanian
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引用次数: 0

Abstract

ABSTRACT In India, Parliamentary Constituencies (PCs) could serve as a regional unit of COVID-19 monitoring that facilitates evidence-based policy decisions. In this study, we presented the first estimates of COVID-19 cumulative cases and deaths per 100,000 population and the case fatality rate (CFR) between 7 January 2020 and 31 January 2021 across PCs and districts of India. We adopted a novel geographic information science-based methodology called crosswalk to estimate COVID-19 outcomes at the PC-level from district-level information. We found a substantial variation of COVID-19 burden within each state and across the country. Access to PC-level and district-level COVID-19 information can enhance both central and regional governmental accountability of safe reopening policies.
印度议会选区和地区的COVID-19指标
在印度,议会选区可以作为COVID-19监测的区域单位,促进基于证据的政策决策。在这项研究中,我们首次估计了2020年1月7日至2021年1月31日期间印度各地区和地区的COVID-19累积病例数和每10万人中的死亡人数以及病死率(CFR)。我们采用了一种新的基于地理信息科学的方法,称为人行横道,从地区层面的信息估计pc层面的COVID-19结果。我们发现,每个州和全国各地的COVID-19负担存在很大差异。获取pc级和地区级的COVID-19信息可以加强中央和地区政府对安全重新开放政策的问责制。
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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来源期刊
Annals of GIS
Annals of GIS Multiple-
CiteScore
8.30
自引率
2.00%
发文量
31
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