Evaluation and prediction of COVID-19 in India: A case study of worst hit states

Rafiq, Danish; Ahmad Suhail, Suhail; Abid Bazaz, Mohammad

doi:https://doi.org/10.1016/j.chaos.2020.110014

Evaluation and prediction of COVID-19 in India: A case study of worst hit states

dc.creator	Rafiq, Danish
dc.creator	Ahmad Suhail, Suhail
dc.creator	Abid Bazaz, Mohammad
dc.date.accessioned	2020-07-28T20:44:08Z
dc.date.available	2020-07-28T20:44:08Z
dc.date.created	2020
dc.description.abstract	In this manuscript, system modeling and identification techniques are applied in developing a prognostic yet deterministic model to forecast the spread of COVID-19 in India. The model is verified with the historical data and a forecast of the spread for 30-days is presented in the 10 most affected states of India. The major results suggest that our model can very well capture the disease variations with high accuracy. The results also show a steep rise in the total cumulative cases and deaths in the coming weeks.	spa
dc.format.extent	9 páginas	spa
dc.format.mimetype	image/jepg	spa
dc.identifier.doi	https://doi.org/10.1016/j.chaos.2020.110014	spa
dc.identifier.issn	0960-0779	spa
dc.identifier.other	https://doi.org/10.1016/j.chaos.2020.110014	spa
dc.identifier.uri	https://hdl.handle.net/20.500.12010/11313
dc.publisher	Chaos, Solitons and Fractals	eng
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.source	reponame:Expeditio Repositorio Institucional UJTL	spa
dc.source	instname:Universidad de Bogotá Jorge Tadeo Lozano	spa
dc.subject	SARS-CoV-2	spa
dc.subject	Pandemic	spa
dc.subject	System identification	spa
dc.subject.lemb	Síndrome respiratorio agudo grave	spa
dc.subject.lemb	COVID-19	spa
dc.subject.lemb	SARS-CoV-2	spa
dc.subject.lemb	Coronavirus	spa
dc.title	Evaluation and prediction of COVID-19 in India: A case study of worst hit states	spa
dc.type.hasversion	info:eu-repo/semantics/acceptedVersion	spa
dc.type.local	Artículo	spa

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