Literature DB >> 34303129

Supporting pandemic disease preparedness: Development of a composite index of area vulnerability.

Tayebeh Saghapour1, Billie Giles-Corti2, Afshin Jafari2, Muhammad Arif Qaisrani3, Gavin Turrell2.   

Abstract

Although pandemics are rare, planning and preparation for responding to them plays a crucial role in preventing their spread. The management and control of pandemics such as COVID-19 relies heavily on a country's health capacity. Measuring vulnerability to pandemics in geographical areas could potentially delay a pandemic's exponential growth and reduce the number of cases, which would alleviate the disease impact on communities and the health care sector. The aim of this study is to generate an area-level COVID-19 Pandemic Vulnerability Index (CPVI) and to assess its correlation with COVID-19 cases. Data were collected for Local Government Areas (LGAs) across Australia from different sources including Australia Bureau of Statistics, Australian Institute of Health and Welfare, and General Transit Feed Specification. Based on recent official reports about the COVID-19 outbreak, 18 factors were identified as influencing vulnerability to the disease within LGAs. Using factor analysis, four latent factors were identified and named as sociodemographic, medical conditions, transportation, and land use. Predicted factor scores were summed to generate a CPVI for each LGA. The CPVI was evaluated by correlating with confirmed cases of COVID-19 standardised by adult population in New South Wales and Victoria, the two Australian states with the highest numbers of confirmed cases. There was a statistically significant correlation between the CPVI and COVID-19 in New South Wales (r = 0.49) and Victoria (r = 0.48). LGAs scoring higher on the CPVI also had a higher absolute number of cases. The CPVI could be used by policymakers to identify at-risk areas and to develop preparedness and response plans to help mitigate the spread of COVID-19 and future pandemics.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Year:  2021        PMID: 34303129     DOI: 10.1016/j.healthplace.2021.102629

Source DB:  PubMed          Journal:  Health Place        ISSN: 1353-8292            Impact factor:   4.078


  2 in total

1.  A Multi-Criteria Decision Support and Application to the Evaluation of the Fourth Wave of COVID-19 Pandemic.

Authors:  Constanta Zoie Radulescu; Marius Radulescu; Radu Boncea
Journal:  Entropy (Basel)       Date:  2022-05-03       Impact factor: 2.738

Review 2.  What Makes Urban Communities More Resilient to COVID-19? A Systematic Review of Current Evidence.

Authors:  Peng Cui; Zhiyu Dong; Xin Yao; Yifei Cao; Yifan Sun; Lan Feng
Journal:  Int J Environ Res Public Health       Date:  2022-08-24       Impact factor: 4.614

  2 in total

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