BibTex format
@article{Abdalla:2025:10.12688/wellcomeopenres.24901.1,
author = {Abdalla, L and Mata, ASD and Fraser, KJ and Jahn, S and Krempser, E and Pinter, A and Pecego, Martins Romano A and Medeiros-Sousa, AR and Garkauskas, Ramos D and Junji, Shimozako H and Mucci, LF and Costa, Gomes LA and Alcantra, LCJ and Silva, Oliviera R and Pereira, Sayago Soares RO and Pereira, Feijó V and Augusto, D and Chame, M and Gaythorpe, KAM},
doi = {10.12688/wellcomeopenres.24901.1},
journal = {Wellcome Open Research},
pages = {596--596},
title = {Mechanistic yellow fever modelling under climate change in Brazil and beyond: Information gaps and future steps},
url = {http://dx.doi.org/10.12688/wellcomeopenres.24901.1},
volume = {10},
year = {2025}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - <ns3:p>Yellow fever (YF) remains a significant public health threat in tropical regions, particularly in South America and Africa. The combined forces of climate change, land-use, urbanisation, globalisation, and insufficient surveillance and health infrastructure are driving the re-emergence and expansion of YF into new areas. While mathematical models have been used to estimate transmission risk, disease burden, and the impact of vaccination, there remains a crucial gap in mechanistic models that explicitly capture how climate and environmental changes directly influence YF transmission. To address this gap, we convened a workshop in Brazil as part of the Vaccine Impact Modelling Consortium’s Climate Change programme, bringing together national and international experts. The workshop aimed to present current modelling approaches, identify key knowledge gaps, and develop strategies to improve data collection and model applicability. Discussions highlighted major uncertainties regarding vectors, non-human primates, surveillance sensitivity, vaccination, and climatic and environmental drivers. This paper synthesises the outcomes of the workshop, including priority areas for future research and recommendations for advancing mechanistic YF modelling in the context of climate change, with a focus on both Brazil and broader tropical regions.</ns3:p>
AU - Abdalla,L
AU - Mata,ASD
AU - Fraser,KJ
AU - Jahn,S
AU - Krempser,E
AU - Pinter,A
AU - Pecego,Martins Romano A
AU - Medeiros-Sousa,AR
AU - Garkauskas,Ramos D
AU - Junji,Shimozako H
AU - Mucci,LF
AU - Costa,Gomes LA
AU - Alcantra,LCJ
AU - Silva,Oliviera R
AU - Pereira,Sayago Soares RO
AU - Pereira,Feijó V
AU - Augusto,D
AU - Chame,M
AU - Gaythorpe,KAM
DO - 10.12688/wellcomeopenres.24901.1
EP - 596
PY - 2025///
SP - 596
TI - Mechanistic yellow fever modelling under climate change in Brazil and beyond: Information gaps and future steps
T2 - Wellcome Open Research
UR - http://dx.doi.org/10.12688/wellcomeopenres.24901.1
UR - https://doi.org/10.12688/wellcomeopenres.24901.1
VL - 10
ER -