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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.
Adib, Keyrellous; Hancock, Penelope A; Rahimli, Aysel; Mugisa, Bridget; Abdulrazeq, Fayez; Aguas, Ricardo; White, Lisa J; Hajjeh, Rana; Al Ariqi, Lubna; Nabeth, Pierre.
Afiliación
  • Adib K; World Health Organization Regional Office for the Eastern Mediterranean, Cairo, Egypt adibk@who.int.
  • Hancock PA; World Health Organization Regional Office for the Eastern Mediterranean, Cairo, Egypt.
  • Rahimli A; Nuffield Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK.
  • Mugisa B; World Health Organization Regional Office for the Eastern Mediterranean, Cairo, Egypt.
  • Abdulrazeq F; World Health Organization Regional Office for the Eastern Mediterranean, Cairo, Egypt.
  • Aguas R; World Health Organization Regional Office for the Eastern Mediterranean, Cairo, Egypt.
  • White LJ; Nuffield Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK.
  • Hajjeh R; MAEMOD, Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand.
  • Al Ariqi L; Nuffield Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK.
  • Nabeth P; Nuffield Department of Medicine, University of Oxford Centre for Tropical Medicine and Global Health, Oxford, Oxfordshire, UK.
BMJ Glob Health ; 6(3)2021 03.
Article en En | MEDLINE | ID: mdl-33762253
ABSTRACT
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.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Control de Enfermedades Transmisibles / Salud Pública / Métodos Epidemiológicos / Toma de Decisiones / COVID-19 Tipo de estudio: Prognostic_studies País/Región como asunto: Europa Idioma: En Revista: BMJ Glob Health Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Control de Enfermedades Transmisibles / Salud Pública / Métodos Epidemiológicos / Toma de Decisiones / COVID-19 Tipo de estudio: Prognostic_studies País/Región como asunto: Europa Idioma: En Revista: BMJ Glob Health Año: 2021 Tipo del documento: Article