Department of Geography, Pandit Prithi Nath PG College (affiliated to Chhatrapati Shahu Ji Maharaj University), 96/12, Mahatma Gandhi Marg, Kanpur 208001, Uttar Pradesh, India.
School of Environment, Education and Development, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom.
Spat Spatiotemporal Epidemiol. 2021 Feb;36:100390. doi: 10.1016/j.sste.2020.100390. Epub 2020 Nov 8.
In this study, we trace the COVID-19 pandemic's footprint across India's districts. We identify its primary epicentres and the outbreak's imprint in India's hinterlands in four separate time-steps, signifying the different lockdown stages. We also identify hotspots and predict areas where the pandemic may spread next. Significant clusters in the country's western and northern parts pose risk, along with the threat of rising numbers in the east. We also perform epidemiological and socioeconomic susceptibility and vulnerability analyses, identifying resident populations that may be physiologically weaker, leading to a high incidence of cases and pinpoint regions that may report high fatalities due to ambient poor demographic and health-related factors. Districts with a high share of urban population and high population density face elevated COVID-19 risks. Aspirational districts have a higher magnitude of transmission and fatality. Discerning such locations can allow targeted resource allocation to combat the pandemic's next phase in India.
在这项研究中,我们追踪了 COVID-19 疫情在印度各地区的足迹。我们在四个不同的时间点确定了其主要震中以及疫情在印度腹地的印记,这标志着不同的封锁阶段。我们还确定了热点地区,并预测了疫情可能在下一个阶段传播的地区。该国西部和北部的重要集群构成了风险,东部的病例数量也在上升。我们还进行了流行病学和社会经济易感性和脆弱性分析,确定了可能在生理上较弱的居民群体,这导致了病例的高发,并确定了由于周边较差的人口和健康相关因素可能报告高死亡率的地区。城市人口比例高和人口密度大的地区面临更高的 COVID-19 风险。有抱负的地区的传播和死亡率更高。识别这些地点可以使资源有针对性地分配,以应对印度疫情的下一阶段。