Evidence map›Paper›PMID 36345298›Full record

ArticleEnvironment, development and sustainability2022

A district-level vulnerability assessment of next COVID-19 variant (Omicron BA.2) in Uttarakhand using quantitative SWOT analysis.

Zainab Khan, Sk Ajim Ali, Mohd Mohsin, Farhana Parvin, Syed Kausar Shamim, Ateeque Ahmad

Abstract read
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Article in Environment, development and sustainability, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zainab KhanDepartment of Geography, Faculty of science, Aligarh Muslim University, Aligarh, 202002 India.
Sk Ajim AliDepartment of Geography, Faculty of science, Aligarh Muslim University, Aligarh, 202002 India.ORCID 0000-0001-7488-5591
Mohd MohsinDepartment of Civil engineering, Faculty of Engineering and Technology, Zakir Husain College of Engineering, Aligarh Muslim University, Aligarh, 202002 India.
Farhana ParvinDepartment of Geography, Faculty of science, Aligarh Muslim University, Aligarh, 202002 India.
Syed Kausar ShamimDepartment of Geography, Faculty of science, Aligarh Muslim University, Aligarh, 202002 India.
Ateeque AhmadDepartment of Geography, Faculty of science, Aligarh Muslim University, Aligarh, 202002 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has had an impact on the entire humankind and has been proved to spread in deadly waves. As a result, preparedness and planning are required to better deal with the epidemic's upcoming waves. Effective planning, on the other hand, necessitates detailed vulnerability assessments at all levels, from the national to the state or regional. There are several issues at the regional level, and each region has its own features. As a result, each region needs its own COVID-19 vulnerability assessment. In terms of climate, terrain and demographics, the state of Uttarakhand differs significantly from the rest of India. As a result, a vulnerability assessment of the next COVID-19 variation (Omicron BA.2) is required for district-level planning to meet regional concerns. A total of 17 variables were chosen for this study, including demographic, socio-economic, infrastructure, epidemiological and tourism-related factors. AHP was used to compute their weights. After applying min-max normalisation to the data, a district-level quantitative SWOT is created to compare the performance of 13 Uttarakhand districts. A COVID-19 vulnerability index (normalised

Indexed as

COVID-19Quantitative SWOTVulnerability assessmentVulnerability index

Identifiers

PMID36345298
PMCPMC9630075

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