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A participatory modelling approach for investigating the spread of COVID-19 in countries of the Eastern Mediterranean Region to support public health decision-making
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e005207.full.pdf | Published version | 1.52 MB | Adobe PDF | View/Open |
Title: | A participatory modelling approach for investigating the spread of COVID-19 in countries of the Eastern Mediterranean Region to support public health decision-making |
Authors: | Adib, K Hancock, PA Rahimli, A Mugisa, B Abdulrazeq, F Aguas, R White, LJ Hajjeh, R Al Ariqi, L Nabeth, P |
Item Type: | Journal Article |
Abstract: | <jats:p>Early on in the COVID-19 pandemic, the WHO Eastern Mediterranean Regional Office recognised the importance of epidemiological modelling to forecast the progression of the COVID-19 pandemic to support decisions guiding the implementation of response measures. We established a modelling support team to facilitate the application of epidemiological modelling analyses in the Eastern Mediterranean Region (EMR) countries. Here, we present an innovative, stepwise approach to participatory modelling of the COVID-19 pandemic that engaged decision-makers and public health professionals from countries throughout all stages of the modelling process. Our approach consisted of first identifying the relevant policy questions, collecting country-specific data and interpreting model findings from a decision-maker’s perspective, as well as communicating model uncertainty. We used a simple modelling methodology that was adaptable to the shortage of epidemiological data, and the limited modelling capacity, in our region. We discuss the benefits of using models to produce rapid decision-making guidance for COVID-19 control in the WHO EMR, as well as challenges that we have experienced regarding conveying uncertainty associated with model results, synthesising and comparing results across multiple modelling approaches, and modelling fragile and conflict-affected states.</jats:p> |
Issue Date: | Mar-2021 |
Date of Acceptance: | 1-Mar-2021 |
URI: | http://hdl.handle.net/10044/1/89432 |
DOI: | 10.1136/bmjgh-2021-005207 |
ISSN: | 2059-7908 |
Publisher: | BMJ Publishing Group |
Start Page: | 1 |
End Page: | 7 |
Journal / Book Title: | BMJ Global Health |
Volume: | 6 |
Issue: | 3 |
Copyright Statement: | © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
Publication Status: | Published |
Online Publication Date: | 2021-03-24 |
Appears in Collections: | Imperial College London COVID-19 School of Public Health |
This item is licensed under a Creative Commons License