About: Projections for COVID-19 pandemic in India and effect of temperature and humidity

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Projections for COVID-19 pandemic in India and effect of temperature and humidity
Creator	Bharali, Sulaxana Goswami, Kuldeep Hazarika, Jiten
Source	Elsevier; Medline; PMC
abstract	BACKGROUND AND AIMS: As, the COVID-19 has been deemed a pandemic by World Health Organization (WHO), and since it spreads everywhere throughout the world, investigation in relation to this disease is very much essential. Investigation of pattern in the occurrence of COVID-19, to check the influence of different meteorological factors on the incidence of COVID-19 and prediction of incidence of COVID-19 are the objectives of this paper. METHODS: For trend analysis, Sen's Slope and Man-Kendall test have been used, Generalized Additive Model (GAM) of regression has been used to check the influence of different meteorological factors on the incidence and to predict the frequency of COVID-19, and Verhulst (Logistic) Population Model has been used. RESULTS: Statistically significant linear trend found for the daily-confirmed cases of COVID-19. The regression analysis indicates that there is some influence of the interaction of average temperature (AT) and average relative humidity (ARH) on the incidence of COVID-19. However, this result is not consistent throughout the study area. The projections have been made up to 21st May, 2020. CONCLUSIONS: Trend and regression analysis give an idea of the incidence of COVID-19 in India while projection made by Verhulst (Logistic) Population Model for the confirmed cases of the study area are encouraging as the sample prediction is as same as the actual number of confirmed COVID-19 cases.
has issue date	2020-06-05(xsd:dateTime)
bibo:doi	10.1016/j.dsx.2020.05.045
bibo:pmid	32540732
has license	no-cc
sha1sum (hex)	bc97149dafa27da43e11da59b96ede6008627b29
schema:url	https://doi.org/10.1016/j.dsx.2020.05.045
resource representing a document's title	Projections for COVID-19 pandemic in India and effect of temperature and humidity
has PubMed Central identifier	PMC7273152
has PubMed identifier	32540732
schema:publication	Diabetes Metab Syndr
resource representing a document's body	covid:bc97149dafa27da43e11da59b96ede6008627b29#body_text
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