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

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dc.creatorGoswami, Kuldeep
dc.creatorBharali, Sulaxana
dc.creatorHazarika, Jiten
dc.date.accessioned2020-07-28T19:30:09Z
dc.date.available2020-07-28T19:30:09Z
dc.date.created2020-05-29
dc.description.abstractenglishBackground 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.spa
dc.format.extent5 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.doihttps://doi.org/10.1016/j.dsx.2020.05.045spa
dc.identifier.issn1871-4021spa
dc.identifier.otherhttps://www.sciencedirect.com/science/article/pii/S1871402120301673?via%3Dihubspa
dc.identifier.urihttps://hdl.handle.net/20.500.12010/11294
dc.publisherDiabetes & Metabolic Syndrome: Clinical Research & Reviewseng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectGeneralized additive modelspa
dc.subjectLogistic population modelspa
dc.subjectPandemicspa
dc.subjectTrendspa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.titleProjections for COVID-19 pandemic in India and effect of temperature and humidityspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.localArtículospa

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