Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6401
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dc.contributor.authorSADEKAR, ONKARen_US
dc.contributor.authorBUDAMAGUNTA, MANSIen_US
dc.contributor.authorSREEJITH, G. J.en_US
dc.contributor.authorJAIN, SACHINen_US
dc.contributor.authorSANTHANAM, M. S.en_US
dc.date.accessioned2021-11-29T10:52:03Z
dc.date.available2021-11-29T10:52:03Z
dc.date.issued2021-11en_US
dc.identifier.citationCurrent Science, 121(09), 1208-1215.en_US
dc.identifier.issn0011-3891en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6401
dc.identifier.urihttps://doi.org/10.18520/cs/v121/i9/1208-1215en_US
dc.description.abstractWe propose a risk measure and construct an infectious diseases hazard map for India. Given an outbreak location, a hazard index is assigned to each city using an effective distance that depends on inter-city mobilities instead of geographical distance. We demonstrate its utility using an SIR model augmented with air, rail and road data among the top 446 cities. Simulations show that the effective distance from outbreak location reliably predicts the time of arrival of infection in other cities. The hazard index predictions compare well with the observed spread of SARS-CoV-2. This hazard map can be used in other outbreaks as wellen_US
dc.language.isoenen_US
dc.publisherIndian Academy of Sciencesen_US
dc.subjectCOVID-19en_US
dc.subjectEffective distanceen_US
dc.subjectHazard mapen_US
dc.subjectInfectious diseasesen_US
dc.subjectTransportation networksen_US
dc.subject2021-NOV-WEEK4en_US
dc.subjectTOC-NOV-2021en_US
dc.subject2021en_US
dc.titleAn infectious diseases hazard map for India based on mobility and transportation networksen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Physicsen_US
dc.identifier.sourcetitleCurrent Scienceen_US
dc.publication.originofpublisherIndianen_US
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