气候变化领域集成服务门户(CCPortal): Exploring dependence of COVID-19 on environmental factors and spread prediction in India

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DOI	10.1038/s41612-020-00142-x
	Exploring dependence of COVID-19 on environmental factors and spread prediction in India
	Bherwani H.; Gupta A.; Anjum S.; Anshul A.; Kumar R.
发表日期	2020
ISSN	23973722
卷号	3 期号:1
英文摘要	COVID-19 has taken the world by storm, with the majority of nations still being challenged by the novel coronavirus. The present work attempts to evaluate the spread of COVID-19 in India using the Susceptible-Exposed-Infectious-Removed (SEIR) model to establish the impact of socio-behavioural aspects, especially social distancing. The impact of environmental factors like temperature and relative humidity (RH) using statistical methods, including Response Surface Methodology (RSM) and Pearson’s correlation, is also studied on numbers of COVID-19 cases per day. Here we report the resultant changes of lockdowns-unlocks initiated by the Government of India for COVID-19, as against the scenario of total lockdown. The phased unlocks and crowded gatherings result in an increase in the number of cases and stretch the mitigation timeline of COVID-19 spread, delaying the flattening of the curve. The SEIR model predictions have been fairly validated against the actual cases. The daily spread of COVID-19 cases is also fairly correlated with temperature in Indian cities, as supported by well-established causation of the role of higher temperatures in disrupting the lipid layer of coronavirus, but is greatly undermined by the key factor of social distancing and gets confounded with other multiple unknown co-varying environmental factors. However, the analysis couldn’t clearly establish the role of RH in affecting daily COVID-19 cases. Hence, it becomes essential to include environmental parameters into epidemiological models like SEIR and to systematically plan controlled laboratory experiments and modeling studies to draw conclusive inferences, assisting policymakers and stakeholders in formulating comprehensive action plans to alleviate the COVID-19 spread. © 2020, The Author(s).
语种	英语
scopus关键词	COVID-19; disease spread; environmental factor; epidemiology; prediction; India
来源期刊	npj Climate and Atmospheric Science
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178029
作者单位	CSIR-National Environmental Engineering Research Institute (CSIR-NEERI), Nagpur, 440020, India; Academy of Scientific and Innovative Research [AcSIR], Ghaziabad, 201002, India
推荐引用方式 GB/T 7714	Bherwani H.,Gupta A.,Anjum S.,et al. Exploring dependence of COVID-19 on environmental factors and spread prediction in India[J],2020,3(1).
APA	Bherwani H.,Gupta A.,Anjum S.,Anshul A.,&Kumar R..(2020).Exploring dependence of COVID-19 on environmental factors and spread prediction in India.npj Climate and Atmospheric Science,3(1).
MLA	Bherwani H.,et al."Exploring dependence of COVID-19 on environmental factors and spread prediction in India".npj Climate and Atmospheric Science 3.1(2020).