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Outbreak response intervention models of vaccine-preventable diseases in humans and foot-and-mouth disease in livestock: a protocol for a systematic review.
Azam, James M; Are, Elisha B; Pang, Xiaoxi; Ferrari, Matthew J; Pulliam, Juliet R C.
Afiliação
  • Azam JM; South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Cape Town, Western Cape, South Africa jamesazam@sun.ac.za.
  • Are EB; South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Cape Town, Western Cape, South Africa.
  • Pang X; Department of Mathematics, The University of Manchester, Manchester, UK.
  • Ferrari MJ; Center for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, University Park, Pennsylvania, USA.
  • Pulliam JRC; South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Cape Town, Western Cape, South Africa.
BMJ Open ; 10(10): e036172, 2020 10 05.
Article em En | MEDLINE | ID: mdl-33020081
ABSTRACT

INTRODUCTION:

Outbreaks of vaccine-preventable diseases continue to threaten public health, despite the proven effectiveness of vaccines. Interventions such as vaccination, social distancing and palliative care are usually implemented, either individually or in combination, to control these outbreaks. Mathematical models are often used to assess the impact of these interventions and for supporting outbreak response decision making. The objectives of this systematic review, which covers all human vaccine-preventable diseases, are to determine the relative impact of vaccination compared with other outbreak interventions, and to ascertain the temporal trends in the use of modelling in outbreak response decision making. We will also identify gaps and opportunities for future research through a comparison with the foot-and-mouth disease outbreak response modelling literature, which has good examples of the use of modelling to inform outbreak response intervention decision making. METHODS AND

ANALYSIS:

We searched on PubMed, Scopus, Web of Science, Google Scholar and some preprint servers from the start of indexing to 15 January 2020. Inclusion modelling studies, published in English, that use a mechanistic approach to evaluate the impact of an outbreak intervention. Exclusion reviews, and studies that do not describe or use mechanistic models or do not describe an outbreak. We will extract data from the included studies such as their objectives, model types and composition, and conclusions on the impact of the intervention. We will ascertain the impact of models on outbreak response decision making through visualisation of time trends in the use of the models. We will also present our results in narrative style. ETHICS AND DISSEMINATION This systematic review will not require any ethics approval since it only involves scientific articles. The review will be disseminated in a peer-reviewed journal and at various conferences fitting its scope. PROSPERO REGISTRATION NUMBER CRD42020160803.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Febre Aftosa / Doenças Preveníveis por Vacina Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Animals / Humans Idioma: En Revista: BMJ Open Ano de publicação: 2020 Tipo de documento: Article País de afiliação: África do Sul

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Febre Aftosa / Doenças Preveníveis por Vacina Tipo de estudo: Prognostic_studies / Systematic_reviews Limite: Animals / Humans Idioma: En Revista: BMJ Open Ano de publicação: 2020 Tipo de documento: Article País de afiliação: África do Sul