Impact of population density on Covid-19 infected and mortality rate in India.
Impact of population density on Covid-19 infected and mortality rate in India.
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DOI：
10.1007/s40808-020-00984-7
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发表时间：
2021
影响因子：
3
通讯作者：
Sarkar K
中科院分区：
文献类型：
--
作者：
Bhadra A;Mukherjee A;Sarkar K
新型冠状病毒是一种高度传染性疾病，已成为严重的全球健康问题。居住在人口密度高的地区，如大城市或大都市，居民与他人密切接触的可能性更高，因此任何传染病预计都会在人口密集地区迅速传播。然而，最近，在分析了美国的新冠肺炎病例后，约翰霍普金斯彭博公共卫生学院、伦敦经济学院和IZA劳动经济研究所的研究人员得出结论，新冠肺炎的传播与人口密度无关。在这里，我们调查了印度人口密度对新冠肺炎传播和相关死亡率的影响。在对地区层面的新冠肺炎感染率和死亡率进行详细的相关性和回归分析后，我们发现新冠肺炎传播与人口密度之间存在中度相关性。
The Covid-19 is a highly contagious disease which becomes a serious global health concern. The residents living in areas with high population density, such as big or metropolitan cities, have a higher probability to come into close contact with others and consequently any contagious disease is expected to spread rapidly in dense areas. However, recently, after analyzing Covid-19 cases in the USA researchers at the Johns Hopkins Bloomberg School of Public Health, London school of economics, and IZA—Institute of Labour Economics conclude that the spread of Covid-19 is not linked with population density. Here, we investigate the influence of population density on Covid-19 spread and related mortality in the context of India. After a detailed correlation and regression analysis of infection and mortality rates due to Covid-19 at the district level, we find moderate association between Covid-19 spread and population density.
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影响因子：
158.5
作者：
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DOI：
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发表时间：
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期刊：
Critical care (London, England)
影响因子：
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