Modelling the COVID-19 pandemic in context: an international participatory approach

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniv Oxford-
Autor(es): dc.contributorMAEMOD-
Autor(es): dc.contributorCornell Inst Dis & Disaster Preparedness-
Autor(es): dc.contributorFlorida Int Univ-
Autor(es): dc.contributorUniv Calif San Francisco-
Autor(es): dc.contributorKerman Univ Med Sci-
Autor(es): dc.contributorWHO-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade Federal do ABC (UFABC)-
Autor(es): dc.creatorAguas, Ricardo-
Autor(es): dc.creatorWhite, Lisa-
Autor(es): dc.creatorHupert, Nathaniel-
Autor(es): dc.creatorShretta, Rima-
Autor(es): dc.creatorPan-Ngum, Wirichada-
Autor(es): dc.creatorCelhay, Olivier-
Autor(es): dc.creatorMoldokmatova, Ainura-
Autor(es): dc.creatorArifi, Fatima-
Autor(es): dc.creatorMirzazadeh, Ali-
Autor(es): dc.creatorSharifi, Hamid-
Autor(es): dc.creatorAdib, Keyrellous-
Autor(es): dc.creatorSahak, Mohammad Nadir-
Autor(es): dc.creatorFranco, Caroline [UNESP]-
Autor(es): dc.creatorCoutinho, Renato-
Data de aceite: dc.date.accessioned2022-02-22T00:57:43Z-
Data de disponibilização: dc.date.available2022-02-22T00:57:43Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1136/bmjgh-2020-003126-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/209824-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/209824-
Descrição: dc.descriptionThe SARS-CoV-2 pandemic has had an unprecedented impact on multiple levels of society. Not only has the pandemic completely overwhelmed some health systems but it has also changed how scientific evidence is shared and increased the pace at which such evidence is published and consumed, by scientists, policymakers and the wider public. More significantly, the pandemic has created tremendous challenges for decision-makers, who have had to implement highly disruptive containment measures with very little empirical scientific evidence to support their decision-making process. Given this lack of data, predictive mathematical models have played an increasingly prominent role. In high-income countries, there is a long-standing history of established research groups advising policymakers, whereas a general lack of translational capacity has meant that mathematical models frequently remain inaccessible to policymakers in low-income and middle-income countries. Here, we describe a participatory approach to modelling that aims to circumvent this gap. Our approach involved the creation of an international group of infectious disease modellers and other public health experts, which culminated in the establishment of the COVID-19 Modelling (CoMo) Consortium. Here, we describe how the consortium was formed, the way it functions, the mathematical model used and, crucially, the high degree of engagement fostered between CoMo Consortium members and their respective local policymakers and ministries of health.-
Descrição: dc.descriptionBill and Melinda Gates Foundation-
Descrição: dc.descriptionLi Ka Shing Foundation-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionOxford University COVID-19 Research Response Fund-
Descrição: dc.descriptionUniv Oxford, Nuffield Dept Med, Ctr Trop Med & Global Hlth, Oxford, England-
Descrição: dc.descriptionMAEMOD, Mahidol Oxford Trop Med Res Unit, Bangkok, Thailand-
Descrição: dc.descriptionUniv Oxford, Ctr Trop Med & Global Hlth, Ctr Trop Med, Oxford, England-
Descrição: dc.descriptionCornell Inst Dis & Disaster Preparedness, Weill Cornell Med, New York, NY USA-
Descrição: dc.descriptionUniv Oxford, Nuffield Dept Med, Oxford, England-
Descrição: dc.descriptionFlorida Int Univ, Dept Epidemiol, Miami, FL 33199 USA-
Descrição: dc.descriptionUniv Calif San Francisco, Sch Med, San Francisco, CA USA-
Descrição: dc.descriptionKerman Univ Med Sci, Inst Futures Studies Hlth, WHO Collaborating Ctr HIV Surveillance, Kerman, Iran-
Descrição: dc.descriptionWHO, Reg Off Eastern Mediterranean, Kabul, Afghanistan-
Descrição: dc.descriptionSao Paulo State Univ UNESP, Inst Theoret Phys, Waves & Nonlinear Patterns Res Grp, Sao Paulo, SP, Brazil-
Descrição: dc.descriptionFed Univ ABC, Ctr Math Computat & Cognit, Ctr Math Comp & Cognit, Santo Andre, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ UNESP, Inst Theoret Phys, Waves & Nonlinear Patterns Res Grp, Sao Paulo, SP, Brazil-
Descrição: dc.descriptionBill and Melinda Gates Foundation: OPP1193472-
Descrição: dc.descriptionFAPESP: 2017/26770-8-
Descrição: dc.descriptionOxford University COVID-19 Research Response Fund: 0009280-
Formato: dc.format9-
Idioma: dc.languageen-
Publicador: dc.publisherBmj Publishing Group-
Relação: dc.relationBmj Global Health-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjecthealth policy-
Palavras-chave: dc.subjectrespiratory infections-
Palavras-chave: dc.subjectcontrol strategies-
Palavras-chave: dc.subjectSARS-
Título: dc.titleModelling the COVID-19 pandemic in context: an international participatory approach-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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