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How to model the impact of vaccines for policymaking when the characteristics are uncertain: A case study in Thailand prior to the vaccine rollout during the COVID-19 pandemic.
Luangasanatip, Nantasit; Painter, Chris; Pan-Ngum, Wirichada; Saralamba, Sompob; Wichaita, Tanaphum; White, Lisa; Aguas, Ricardo; Clapham, Hannah; Wang, Yi; Isaranuwatchai, Wanrudee; Teerawattananon, Yot.
Afiliación
  • Luangasanatip N; Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Thailand.
  • Painter C; Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Thailand; Health Intervention and Technology Assessment Program, Ministry of Public Health, Thailand; Nuffield Department of Medicine, University of Oxford, United Kingdom. Electronic address: chris.p@tropmedres.ac.
  • Pan-Ngum W; Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Thailand.
  • Saralamba S; Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Thailand.
  • Wichaita T; Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Thailand.
  • White L; Nuffield Department of Medicine, University of Oxford, United Kingdom.
  • Aguas R; Nuffield Department of Medicine, University of Oxford, United Kingdom.
  • Clapham H; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • Wang Y; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • Isaranuwatchai W; Health Intervention and Technology Assessment Program, Ministry of Public Health, Thailand.
  • Teerawattananon Y; Health Intervention and Technology Assessment Program, Ministry of Public Health, Thailand; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Vaccine ; 41(33): 4854-4860, 2023 07 25.
Article en En | MEDLINE | ID: mdl-37365059
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Vacunas / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Vaccine Año: 2023 Tipo del documento: Article País de afiliación: Tailandia
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Vacunas / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Vaccine Año: 2023 Tipo del documento: Article País de afiliación: Tailandia