Evidence map›Paper›PMID 41100577›Full record

ArticlePLoS neglected tropical diseases2025

Risk assessment and mitigation evaluation of future yellow fever outbreaks under different climate scenarios: Insight from a case study of Brazil.

Tedi Ramaj, Xiaotian Wu, Marco Tosato, Fernando Morelli, Yael Thollot, Edith Langevin, Edward Thommes, Woldegebriel Assefa Woldegerima, Jianhong Wu

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Tedi RamajLaboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, Canada.ORCID 0000-0002-8461-1487
Xiaotian WuSchool of Science, Shanghai Maritime University, Shanghai, China.
Marco TosatoLaboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, Canada.
Fernando MorelliSanofi, Lyon, France.
Yael ThollotSanofi, Lyon, France.
Edith LangevinSanofi, Lyon, France.
Edward ThommesSanofi, Toronto, Canada.
Woldegebriel Assefa WoldegerimaLaboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, Canada.
Jianhong WuLaboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, Toronto, Canada.

Funding

National Natural Science Foundation of ChinaSERC-Sanofi Alliance program in Vaccine Mathematics, Modelling, and Manufacturing
6 · The paper itself

Abstract

backgroundYellow Fever (YF), a disease typically transmitted to humans by infected mosquitoes, is endemic to regions such as South America. Climate change plays a crucial role in exacerbating the spread of YF. MODEL: We formulate a mathematical model of YF transmission with a case study of the region in the southeastern Brazil with a well documented 2017/2018 outbreak. We validate the model using historical data, then run simulations to generate projections of future outbreaks under different climate scenarios in 2050. We also evaluate the outcomes of different mitigation measures such as emergency vaccination programs.

findingsOur results suggest that under all projected climate scenarios, increasing temperatures will yield a marked increase in the total number of cases. Under RCP 8.5, the basic human infection reproduction number will increase by 11.4%, and the cumulative infections will increase by 8.1%. The model predicts a similar increase under a moderate radiative forcing scenario. The introduction of additional emergency vaccination, at a rate of 8.0% (equivalent to 60% vaccination coverage over the course of 15 weeks) of the susceptible population per week, can reduce this increase of cumulative cases to approximately 4.9%. This effect of emergency vaccines will be equivalent to alternative public health interventions to reduce the mosquito-to-human disease transmission effective contact by approximately 23.0%. Increasing temperatures and rainfall due to climate change are projected to increase YF cases. Vaccination can be an important part of integrative mitigating measures.

Indexed as

Climate ChangeDisease OutbreaksYellow FeverAnimalsBrazilHumansModels, TheoreticalMosquito VectorsRisk AssessmentVaccination

Identifiers

PMID41100577
PMCPMC12543279

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.