Please use this identifier to cite or link to this item: https://observatorio.fm.usp.br/handle/OPI/33110
Title: Modelling an optimum vaccination strategy against ZIKA virus for outbreak use
Authors: MASSAD, EduardoCOUTINHOL, Francisco Antonio BezerraWILDER-SMITH, Annelies
Citation: EPIDEMIOLOGY AND INFECTION, v.147, article ID UNSP e196, 8p, 2019
Abstract: We present a model to optimise a vaccination campaign aiming to prevent or to curb a Zika virus outbreak. We show that the optimum vaccination strategy to reduce the number of cases by a mass vaccination campaign should start when the Aedes mosquitoes' density reaches the threshold of 1.5 mosquitoes per humans, the moment the reproduction number crosses one. The maximum time it is advisable to wait for the introduction of a vaccination campaign is when the first ZIKV case is identified, although this would not be as effective to minimise the number of infections as when the mosquitoes' density crosses the critical threshold. This suboptimum strategy, however, would still curb the outbreak. In both cases, the catch up strategy should aim to vaccinate at least 25% of the target population during a concentrated effort of 1 month immediately after identifying the threshold. This is the time taken to accumulate the herd immunity threshold of 56.5%. These calculations were done based on theoretical assumptions that vaccine implementation would be feasible within a very short time frame.
Appears in Collections:

Artigos e Materiais de Revistas Científicas - FM/MLS
Departamento de Medicina Legal, Ética Médica e Medicina Social e do Trabalho - FM/MLS

Artigos e Materiais de Revistas Científicas - FM/MPT
Departamento de Patologia - FM/MPT

Artigos e Materiais de Revistas Científicas - LIM/01
LIM/01 - Laboratório de Informática Médica

Artigos e Materiais de Revistas Científicas - ODS/03
ODS/03 - Saúde e bem-estar


Files in This Item:
File Description SizeFormat 
art_MASSAD_Modelling_an_optimum_vaccination_strategy_against_ZIKA_virus_2019.PDFpublishedVersion (English)406.17 kBAdobe PDFThumbnail
View/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.