Your browser doesn't support javascript.
loading
COVID-19 vaccination strategies in Africa: A scoping review of the use of mathematical models to inform policy.
Ofori, Sylvia K; Dankwa, Emmanuelle A; Estrada, Eve Hiyori; Hua, Xinyi; Kimani, Teresia N; Wade, Carrie G; Buckee, Caroline O; Murray, Megan B; Hedt-Gauthier, Bethany L.
Afiliación
  • Ofori SK; Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Dankwa EA; Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Estrada EH; Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA.
  • Hua X; Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, USA.
  • Kimani TN; KAVI-Institute of Clinical Research, University of Nairobi, Nairobi, Kenya.
  • Wade CG; Center for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya.
  • Buckee CO; Paul G Allen School for Global Animal Health, Washington State University, Pullman, Washington, USA.
  • Murray MB; Department of Health Services, Kiambu County, Ministry of Health Kenya, Kiambu County, Kenya.
  • Hedt-Gauthier BL; Countway Library, Harvard School of Medicine, Boston, Massachusetts, USA.
Trop Med Int Health ; 29(6): 466-476, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38740040
ABSTRACT

OBJECTIVE:

Mathematical models are vital tools to understand transmission dynamics and assess the impact of interventions to mitigate COVID-19. However, historically, their use in Africa has been limited. In this scoping review, we assess how mathematical models were used to study COVID-19 vaccination to potentially inform pandemic planning and response in Africa.

METHODS:

We searched six electronic databases MEDLINE, Embase, Web of Science, Global Health, MathSciNet and Africa-Wide NiPAD, using keywords to identify articles focused on the use of mathematical modelling studies of COVID-19 vaccination in Africa that were published as of October 2022. We extracted the details on the country, author affiliation, characteristics of models, policy intent and heterogeneity factors. We assessed quality using 21-point scale criteria on model characteristics and content of the studies.

RESULTS:

The literature search yielded 462 articles, of which 32 were included based on the eligibility criteria. Nineteen (59%) studies had a first author affiliated with an African country. Of the 32 included studies, 30 (94%) were compartmental models. By country, most studies were about or included South Africa (n = 12, 37%), followed by Morocco (n = 6, 19%) and Ethiopia (n = 5, 16%). Most studies (n = 19, 59%) assessed the impact of increasing vaccination coverage on COVID-19 burden. Half (n = 16, 50%) had policy intent prioritising or selecting interventions, pandemic planning and response, vaccine distribution and optimisation strategies and understanding transmission dynamics of COVID-19. Fourteen studies (44%) were of medium quality and eight (25%) were of high quality.

CONCLUSIONS:

While decision-makers could draw vital insights from the evidence generated from mathematical modelling to inform policy, we found that there was limited use of such models exploring vaccination impacts for COVID-19 in Africa. The disparity can be addressed by scaling up mathematical modelling training, increasing collaborative opportunities between modellers and policymakers, and increasing access to funding.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vacunas contra la COVID-19 / COVID-19 / Política de Salud / Modelos Teóricos Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Trop Med Int Health Asunto de la revista: MEDICINA TROPICAL / SAUDE PUBLICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vacunas contra la COVID-19 / COVID-19 / Política de Salud / Modelos Teóricos Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Trop Med Int Health Asunto de la revista: MEDICINA TROPICAL / SAUDE PUBLICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido