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Multidisciplinary approach to COVID-19 risk communication: A framework and tool for individual and regional risk assessment.

Parajuli, R., Mishra, B., Banstola, A., Ghimire, B.R., Poudel, S., Sharma, K., Dixit, S.H., Shahid, S., Simkhada, P. and Van Teijlingen, E., 2020. Multidisciplinary approach to COVID-19 risk communication: A framework and tool for individual and regional risk assessment. Scientific Reports, 10 (1), 21650.

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DOI: 10.1038/s41598-020-78779-0.

Abstract

The COVID-19 pandemic has exceeded over ten million cases globallywith no vaccine available yet. Different approaches are followed to mitigate its impact and reduce its spreading in different countries, but limiting mobility and exposure have been de-facto precaution to reduce transmission. However, a full lockdown cannot be sustained for a prolonged period. Evidence-based, multidisciplinary approach on risk zoning, personal and transmission risk assessment on a near real-time, and risk communication would support the optimized decisions to minimize the impact of coronavirus on our lives. This paper presents a framework to assess the individual and regional risk of COVID-19 along with risk communication tools and mechanisms. Relative risk scores on a scale of 100 represent the integrated risk of influential factors. The personal risk model incorporates: age, exposure history, symptoms, local risk and existing health condition, whereas regional risk is computed through the actual cases of COVID-19, public health risk factors, socioeconomic condition of the region, and immigration statistics. A web application tool (www.covira.info) has been developed, where anyone can assess their risk and find the guided information links primarily for Nepal. This study provides regional risk for Nepal, but the framework is scalable across the world. However, personal risk can be assessed immediately from anywhere.

Item Type:Article
ISSN:2045-2322
Uncontrolled Keywords:coronavirus ; COVID-19 ; South Asia ; track and trace ; Nepal
Group:Faculty of Health & Social Sciences
ID Code:34912
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:30 Nov 2020 14:41
Last Modified:27 May 2021 07:57

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