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

Rishi Ram Parajuli, Bhogendra Mishra*, Amrit Banstola, Bhoj Raj Ghimire, Shobha Poudel, Kusum Sharma, Sameer Mani Dixit, Sunil Kumar Sah, Padam Simkhada, Edwin van Teijlingen

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

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Abstract

The COVID-19 pandemic has exceeded over sixty-five million cases globally. Different approaches are followed to mitigate its impact and reduce its spreading in different countries, but limiting mobility and exposure have been de-facto precautions to reduce transmission. However, a full lockdown cannot be sustained for a prolonged period. An evidence-based, multidisciplinary approach on risk zoning, personal and transmission risk assessment in 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 ( http://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.

Original languageEnglish
Article number21650
Number of pages14
JournalScientific Reports
Volume10
Issue number1
DOIs
Publication statusPublished - 10 Dec 2020

Structured keywords

  • Covid19

Keywords

  • COVID-19/epidemiology
  • Communication
  • Humans
  • Models, Biological
  • Nepal/epidemiology
  • Risk Assessment
  • Risk Factors
  • SARS-CoV-2

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