微环境条件和高人口密度影响印度大城市中严重急性呼吸综合征冠状病毒-2的传播

S. Dwivedi, Seema Mishra, Ruchika Agnihotri, V. Kumar, Pragya Sharma, G. Sinam, Vivek Pandey
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摘要

目的:本研究探讨高人口密度(PD)、气候和环境因素对印度大城市2019冠状病毒病(COVID-19)传播的影响。材料与方法:编制了一份数据提取表,汇总了10个大城市确诊的严重急性呼吸综合征冠状病毒-2 (SARS-CoV-2)病例和死亡人数的数据,数据取自印度政府网站。每个选定大都市的环境因素数据来自官方网站和印度气象部门政府的气候条件。结果:在印度,在热带干湿气候区发现的COVID-19阳性病例最多(>32%)。而在印度干旱地区,COVID-19病例的发病率较低。在被研究的大城市中,维生素D水平、COVID-19病例总数和死亡率之间的相关性很低。卫生保健指数与COVID-19病例和死亡率无显著相关。结论:对应分析和主成分分析表明,高PD、贫困、气候和环境因素影响了印度大城市SARS-CoV-2的传播。
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Micro-environmental conditions and high population density affects the transmission of severe acute respiratory syndrome corona virus-2 in metropolitan cities of India
Aim: The present study explores the effects of high population density (PD), climatic and environmental factors on transmission of coronavirus disease 2019 (COVID-19) in selected metropolitan cities of India. Materials and Methods: A data extraction sheet has been prepared to summarize the data of confirmed severe acute respiratory syndrome corona virus-2 (SARS-CoV-2) cases and number of deaths in ten metropolitan cities, which was taken from Government of India website. The data on environmental factors of each selected metropolitan city were compiled from the official website and climatic conditions from Meteorological Department Government of India. Results: In India, maximum positive COVID-19 cases (>32%) has been found in tropical wet and dry climate zone. While the incidence of COVID-19 cases has been found less in the arid zone of India. Poor correlation has been found between level of Vitamin D, total COVID-19 cases, and mortalities in the studied metropolitan cities. No significant correlation was found between the health care index and COVID-19 cases and mortality. Conclusions: Correspondence and principal component analysis statistics showed high PD, poverty, climatic and environmental factors influenced the SARS-CoV-2 transmission in metropolitan cities of India.
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