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Climate and land-use shape the spread of zoonotic yellow fever virus

Authors :
Sarah C. Hill
Simon Dellicour
Ingra M. Claro
Patricia C. Sequeira
Talita Adelino
Julien Thézé
Chieh-Hsi Wu
Filipe Romero Rebello Moreira
Marta Giovanetti
Sabrina L. Li
Jaqueline G. de Jesus
Felipe J. Colón-González
Heather R. Chamberlain
Oliver Pannell
Natalia Tejedor-Garavito
Fernanda de Bruycker-Nogueira
Allison A. Fabri
Maria Angélica Mares-Guia
Joilson Xavier
Alexander E. Zarebski
Arran Hamlet
Maria Anice Mureb Sallum
Antonio C. da Costa
Erika R. Manuli
Anna S. Levin
Luís Filipe Mucci
Rosa Maria Tubaki
Regiane Maria Tironi de Menezes
Juliana Telles de Deus
Roberta Spinola
Leila Saad
Esper G. Kallas
G.R. William Wint
Pedro S. Peixoto
Andreza Aruska de Souza Santos
Jane P. Messina
Oliver J. Brady
Andrew J. Tatem
Marc A. Suchard
Jairo A. Mendez-Rico
André Abreu
Renato Santana Aguiar
Oliver G. Pybus
Guy Baele
Philippe Lemey
Felipe Iani
Mariana S. Cunha
Ana M. Bispo de Filippis
Ester C. Sabino
Nuno R. Faria
Royal Veterinary College [London]
University of London [London]
Department of Zoology
University of Oxford
Spatial Epidemiology Lab (SpELL)
Université libre de Bruxelles (ULB)
Rega Institute for Medical Research [Leuven, België]
Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven)
Faculdade de Medicina da Universidade de São Paulo [São Paulo, Brésil]
The Abdul Latif Jameel Institute for Disease and Emergency Analytics
Fundação Oswaldo Cruz / Oswaldo Cruz Foundation (FIOCRUZ)
Réseau International des Instituts Pasteur (RIIP)
Fundação Ezequiel Dias (FUNED)
Unité Mixte de Recherche d'Épidémiologie des maladies Animales et zoonotiques (UMR EPIA)
VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
School of Mathematics [Southampton]
University of Southampton
Institute for Life Sciences
Laboratório de Biologia Molecular de Flavivírus [Rio de Janeiro]
Instituto Oswaldo Cruz / Oswaldo Cruz Institute [Rio de Janeiro] (IOC)
Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Fundação Oswaldo Cruz / Oswaldo Cruz Foundation (FIOCRUZ)
Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)
Universidade Federal de Minas Gerais = Federal University of Minas Gerais [Belo Horizonte, Brazil] (UFMG)
School of Geography and the Environment [Oxford] (SoGE)
School of Geography [Nottingham]
University of Nottingham, UK (UON)
Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population
Instituto de Ciências Biológicas [Goiânia, Brésil] (ICB)
Imperial College London
Unité de Catalyse et Chimie du Solide - UMR 8181 (UCCS)
Université d'Artois (UA)-Centrale Lille-Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Department of Zoology [Oxford]
Publication Year :
2023
Publisher :
HAL CCSD, 2023.

Abstract

Zoonotic viruses that originate in wildlife harm global human health and economic prosperity1. Understanding virus transmission at the human-animal-environment interface is a key component of pandemic risk-reduction2,3. Zoonotic disease emergence is highest in biodiverse, tropical forests undergoing intensive land-use change4,5. Phylodynamic analyses of virus genomes can powerfully test epidemiological hypotheses, but are rarely applied to viruses of animals inhabiting these habitats. Brazil’s densely-populated Atlantic Forest and Cerrado region experienced in 2016–2021 an explosive human outbreak of sylvatic yellow fever, caused by repeated virus spillover from wild neotropical primates6. Here we use yellow fever virus (YFV) genome sequences and epidemiological data from neotropical primates, humans, and mosquito vectors to identify the environmental, demographic, and climatic factors determining zoonotic virus spread. Using portable sequencing approaches we generated 498 YFV genomes, resulting in a well-sampled dataset of zoonotic virus genomes sampled from wild mammals. YFV dispersal velocity was slower at higher elevation, in colder regions, and further away from main roads. Virus lineage dispersal was more frequent through wetter areas, areas with high neotropical primate density and through landscapes covered by mosaic vegetation. Higher temperatures were associated with higher virus effective population sizes, and peaks of transmission in warmer, wetter seasons were associated with higher virus evolutionary rates. Our study demonstrates how zoonotic disease transmission is linked to land-use and climate, underscoring the need for One-Health approaches to reducing the rate of zoonotic spillover.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....db878470797473d2a699a33585c92750