Bhadra Arunava, Mukherjee Arindam, Sarkar Kabita
High Energy and Cosmic Ray Research Centre, University of North Bengal, Siliguri, WB 734013 India.
Department of Mathematics, Swami Vivekananda Institute of Science Technology, Dakshin Gobindapur, Kolkata, 700145 India.
Model Earth Syst Environ. 2021;7(1):623-629. doi: 10.1007/s40808-020-00984-7. Epub 2020 Oct 14.
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.
新冠病毒病是一种极具传染性的疾病，已成为全球严重的健康问题。居住在人口密度高的地区（如大城市或大都市）的居民，与他人密切接触的可能性更高，因此预计任何传染病在人口密集地区都会迅速传播。然而，最近，约翰·霍普金斯大学彭博公共卫生学院、伦敦经济学院和劳动经济研究所（IZA）的研究人员在美国分析了新冠病毒病病例后得出结论，新冠病毒病的传播与人口密度无关。在此，我们在印度的背景下研究人口密度对新冠病毒病传播及相关死亡率的影响。在对地区层面因新冠病毒病导致的感染率和死亡率进行详细的相关性和回归分析后，我们发现新冠病毒病传播与人口密度之间存在适度关联。
