Cargando…
A participatory modelling approach for investigating the spread of COVID-19 in countries of the Eastern Mediterranean Region to support public health decision-making
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 t...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992384/ https://www.ncbi.nlm.nih.gov/pubmed/33762253 http://dx.doi.org/10.1136/bmjgh-2021-005207 |
_version_ | 1783669360367239168 |
---|---|
author | Adib, Keyrellous Hancock, Penelope A Rahimli, Aysel Mugisa, Bridget Abdulrazeq, Fayez Aguas, Ricardo White, Lisa J Hajjeh, Rana Al Ariqi, Lubna Nabeth, Pierre |
author_facet | Adib, Keyrellous Hancock, Penelope A Rahimli, Aysel Mugisa, Bridget Abdulrazeq, Fayez Aguas, Ricardo White, Lisa J Hajjeh, Rana Al Ariqi, Lubna Nabeth, Pierre |
author_sort | Adib, Keyrellous |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7992384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-79923842021-03-25 A participatory modelling approach for investigating the spread of COVID-19 in countries of the Eastern Mediterranean Region to support public health decision-making Adib, Keyrellous Hancock, Penelope A Rahimli, Aysel Mugisa, Bridget Abdulrazeq, Fayez Aguas, Ricardo White, Lisa J Hajjeh, Rana Al Ariqi, Lubna Nabeth, Pierre BMJ Glob Health Practice 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. BMJ Publishing Group 2021-03-24 /pmc/articles/PMC7992384/ /pubmed/33762253 http://dx.doi.org/10.1136/bmjgh-2021-005207 Text en © 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/ 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/. |
spellingShingle | Practice Adib, Keyrellous Hancock, Penelope A Rahimli, Aysel Mugisa, Bridget Abdulrazeq, Fayez Aguas, Ricardo White, Lisa J Hajjeh, Rana Al Ariqi, Lubna Nabeth, Pierre A participatory modelling approach for investigating the spread of COVID-19 in countries of the Eastern Mediterranean Region to support public health decision-making |
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 |
title_full | A participatory modelling approach for investigating the spread of COVID-19 in countries of the Eastern Mediterranean Region to support public health decision-making |
title_fullStr | A participatory modelling approach for investigating the spread of COVID-19 in countries of the Eastern Mediterranean Region to support public health decision-making |
title_full_unstemmed | A participatory modelling approach for investigating the spread of COVID-19 in countries of the Eastern Mediterranean Region to support public health decision-making |
title_short | A participatory modelling approach for investigating the spread of COVID-19 in countries of the Eastern Mediterranean Region to support public health decision-making |
title_sort | participatory modelling approach for investigating the spread of covid-19 in countries of the eastern mediterranean region to support public health decision-making |
topic | Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992384/ https://www.ncbi.nlm.nih.gov/pubmed/33762253 http://dx.doi.org/10.1136/bmjgh-2021-005207 |
work_keys_str_mv | AT adibkeyrellous aparticipatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT hancockpenelopea aparticipatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT rahimliaysel aparticipatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT mugisabridget aparticipatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT abdulrazeqfayez aparticipatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT aguasricardo aparticipatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT whitelisaj aparticipatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT hajjehrana aparticipatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT alariqilubna aparticipatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT nabethpierre aparticipatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT adibkeyrellous participatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT hancockpenelopea participatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT rahimliaysel participatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT mugisabridget participatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT abdulrazeqfayez participatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT aguasricardo participatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT whitelisaj participatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT hajjehrana participatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT alariqilubna participatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking AT nabethpierre participatorymodellingapproachforinvestigatingthespreadofcovid19incountriesoftheeasternmediterraneanregiontosupportpublichealthdecisionmaking |