About: An India-specific Compartmental Model for Covid-19: Projections and Intervention Strategies by Incorporating Geographical, Infrastructural and Response Heterogeneity

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About: An India-specific Compartmental Model for Covid-19: Projections and Intervention Strategies by Incorporating Geographical, Infrastructural and Response Heterogeneity Goto Sponge NotDistinct Permalink

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	An India-specific Compartmental Model for Covid-19: Projections and Intervention Strategies by Incorporating Geographical, Infrastructural and Response Heterogeneity
Creator	Mitra, Mithun Bhatnagar, Tarun Maji, Avijit Shah, Sahil Sushma, M Babu, Giridhara Chaturvedi, Sumit Das, Aritra Dibyachintan, Soham Godbole, Adwait Gupta, Sanit Jaseem, Noufal Kumar, Pradumn Ravikanti, Sucheta Roy, Sandeepan Solanki, Parvinder Thakkar, Pranav Vinjanampathy, Sai
topic	covid:25bf1bf1db3c2507ae63f3ad6bbc5b69e105635e#this
source	ArXiv
abstract	We present a compartmental meta-population model for the spread of Covid-19 in India. Our model simulates populations at a district or state level using an epidemiological model that is appropriate to Covid-19. Different districts are connected by a transportation matrix developed using available census data. We introduce uncertainties in the testing rates into the model that takes into account the disparate responses of the different states to the epidemic and also factors in the state of the public healthcare system. Our model allows us to generate qualitative projections of Covid-19 spread in India, and further allows us to investigate the effects of different proposed interventions. By building in heterogeneity at geographical and infrastructural levels and in local responses, our model aims to capture some of the complexity of epidemiological modeling appropriate to a diverse country such as India.
has issue date	2020-07-28(xsd:dateTime)
has license	arxiv
sha1sum (hex)	25bf1bf1db3c2507ae63f3ad6bbc5b69e105635e
resource representing a document's title	An India-specific Compartmental Model for Covid-19: Projections and Intervention Strategies by Incorporating Geographical, Infrastructural and Response Heterogeneity
resource representing a document's body	covid:25bf1bf1db3c2507ae63f3ad6bbc5b69e105635e#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/25bf1bf1db3c2507ae63f3ad6bbc5b69e105635e
is schema:about of	named entity 'compartments' named entity 'levels' named entity 'generate' named entity 'AVAILABLE' named entity '28S' named entity 'COMPARTMENTS' named entity 'QUALITATIVE' named entity 'STRUCTURE' named entity 'INDIA' named entity 'Infected' named entity 'introduce' named entity 'model' named entity 'effects' named entity 'responses' named entity 'investigate' named entity 'factors' named entity 'model' named entity 'Covid-19' named entity 'Heterogeneity' named entity 'Compartmental' named entity 'epidemic' named entity 'Covid' named entity 'India' named entity 'Asymptomatic' named entity 'epidemiological modeling' named entity 'India' named entity 'Infrastructural' named entity 'asymptomatic people' named entity 'mortality rates' named entity 'estimation theory' named entity 'estimation theory' named entity 'age structure' named entity 'infectivity' named entity 'time evolution' named entity 'compartmental model' named entity 'West Bengal' named entity 'vector' named entity 'SIR models' named entity 'India' named entity 'Epidemiological' named entity 'compartmental models' named entity 'testing rate' named entity 'differential equation' named entity 'Kerala' named entity 'Kerala' named entity 'epidemic' named entity 'Mainland China' named entity 'well-mixed' named entity 'Covid-19' named entity 'Covid' named entity 'Asymptomatic' named entity 'Covid-19' named entity 'India post' named entity 'testing facilities' named entity 'data reporting' named entity 'quarantine' named entity 'quarantine' named entity 'Gujarat' named entity 'Australia' named entity 'Kerala' named entity 'work-from-home' named entity 'asymptomatic' named entity 'Kerala' named entity 'epidemic' named entity 'parameter estimates' named entity 'population model' named entity 'India' named entity 'testing rate'

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