Cargando…

A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India

In this study, we trace the COVID-19 pandemic's footprint across India's districts. We identify its primary epicentres and the outbreak's imprint in India's hinterlands in four separate time-steps, signifying the different lockdown stages. We also identify hotspots and predict ar...

Descripción completa

Detalles Bibliográficos
Autores principales: Imdad, Kashif, Sahana, Mehebub, Rana, Md Juel, Haque, Ismail, Patel, Priyank Pravin, Pramanik, Malay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648890/
https://www.ncbi.nlm.nih.gov/pubmed/33509422
http://dx.doi.org/10.1016/j.sste.2020.100390
_version_ 1783607203942367232
author Imdad, Kashif
Sahana, Mehebub
Rana, Md Juel
Haque, Ismail
Patel, Priyank Pravin
Pramanik, Malay
author_facet Imdad, Kashif
Sahana, Mehebub
Rana, Md Juel
Haque, Ismail
Patel, Priyank Pravin
Pramanik, Malay
author_sort Imdad, Kashif
collection PubMed
description In this study, we trace the COVID-19 pandemic's footprint across India's districts. We identify its primary epicentres and the outbreak's imprint in India's hinterlands in four separate time-steps, signifying the different lockdown stages. We also identify hotspots and predict areas where the pandemic may spread next. Significant clusters in the country's western and northern parts pose risk, along with the threat of rising numbers in the east. We also perform epidemiological and socioeconomic susceptibility and vulnerability analyses, identifying resident populations that may be physiologically weaker, leading to a high incidence of cases and pinpoint regions that may report high fatalities due to ambient poor demographic and health-related factors. Districts with a high share of urban population and high population density face elevated COVID-19 risks. Aspirational districts have a higher magnitude of transmission and fatality. Discerning such locations can allow targeted resource allocation to combat the pandemic's next phase in India.
format Online
Article
Text
id pubmed-7648890
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-76488902020-11-09 A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India Imdad, Kashif Sahana, Mehebub Rana, Md Juel Haque, Ismail Patel, Priyank Pravin Pramanik, Malay Spat Spatiotemporal Epidemiol Article In this study, we trace the COVID-19 pandemic's footprint across India's districts. We identify its primary epicentres and the outbreak's imprint in India's hinterlands in four separate time-steps, signifying the different lockdown stages. We also identify hotspots and predict areas where the pandemic may spread next. Significant clusters in the country's western and northern parts pose risk, along with the threat of rising numbers in the east. We also perform epidemiological and socioeconomic susceptibility and vulnerability analyses, identifying resident populations that may be physiologically weaker, leading to a high incidence of cases and pinpoint regions that may report high fatalities due to ambient poor demographic and health-related factors. Districts with a high share of urban population and high population density face elevated COVID-19 risks. Aspirational districts have a higher magnitude of transmission and fatality. Discerning such locations can allow targeted resource allocation to combat the pandemic's next phase in India. Elsevier Ltd. 2021-02 2020-11-08 /pmc/articles/PMC7648890/ /pubmed/33509422 http://dx.doi.org/10.1016/j.sste.2020.100390 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Imdad, Kashif
Sahana, Mehebub
Rana, Md Juel
Haque, Ismail
Patel, Priyank Pravin
Pramanik, Malay
A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India
title A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India
title_full A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India
title_fullStr A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India
title_full_unstemmed A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India
title_short A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India
title_sort district-level susceptibility and vulnerability assessment of the covid-19 pandemic's footprint in india
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648890/
https://www.ncbi.nlm.nih.gov/pubmed/33509422
http://dx.doi.org/10.1016/j.sste.2020.100390
work_keys_str_mv AT imdadkashif adistrictlevelsusceptibilityandvulnerabilityassessmentofthecovid19pandemicsfootprintinindia
AT sahanamehebub adistrictlevelsusceptibilityandvulnerabilityassessmentofthecovid19pandemicsfootprintinindia
AT ranamdjuel adistrictlevelsusceptibilityandvulnerabilityassessmentofthecovid19pandemicsfootprintinindia
AT haqueismail adistrictlevelsusceptibilityandvulnerabilityassessmentofthecovid19pandemicsfootprintinindia
AT patelpriyankpravin adistrictlevelsusceptibilityandvulnerabilityassessmentofthecovid19pandemicsfootprintinindia
AT pramanikmalay adistrictlevelsusceptibilityandvulnerabilityassessmentofthecovid19pandemicsfootprintinindia
AT imdadkashif districtlevelsusceptibilityandvulnerabilityassessmentofthecovid19pandemicsfootprintinindia
AT sahanamehebub districtlevelsusceptibilityandvulnerabilityassessmentofthecovid19pandemicsfootprintinindia
AT ranamdjuel districtlevelsusceptibilityandvulnerabilityassessmentofthecovid19pandemicsfootprintinindia
AT haqueismail districtlevelsusceptibilityandvulnerabilityassessmentofthecovid19pandemicsfootprintinindia
AT patelpriyankpravin districtlevelsusceptibilityandvulnerabilityassessmentofthecovid19pandemicsfootprintinindia
AT pramanikmalay districtlevelsusceptibilityandvulnerabilityassessmentofthecovid19pandemicsfootprintinindia