Year: 2026
Type: article
Study design: Observational Study
Source: Nature Medicine
Authors: Erika R. Manuli, Xinyi Hua, Gabriel C. Scachetti, Julia Forato, Ingra M. Claro, Geovana M. Pereira, Livia Sacchetto, Oscar Cortes-Azuero, Ana Carolina Bernardo, Cláudia F. Resende, Natália B. S. Bacarov, Ligia Capuani, Shirlene T. S. de Lima, Ronaldo de Jesus, Rodrigo B. Kato, Bárbara B. Salgado, Carolina M. L. Singh, Nadielle C. Pereira, Renato S. Reis, Sérgio R. L. Albuquerque, Richard Stanton, Vanderson S. Sampaio, Ana I. Bento, Marielton P. Cunha, Oliver Ratmann, Nuno R. Faria, Scott C. Weaver, Pritesh J. Lalwani, Henrik Salje, Allyson G. Costa, José Luiz Proenca-Modena, Ester C. Sabino, William M. de Souza
Institutions: Universidade Municipal de São Caetano do Sul, Universidade de São Paulo, University of Kentucky, Universidade Estadual de Campinas (UNICAMP), University of Cambridge, Universidade Federal de Minas Gerais, Fiocruz Amazônia, Universidade Federal do Amazonas, Fundação Hospitalar de Hematologia e Hemoterapia do Amazonas, University Hospital of Wales, Cardiff University, Instituto Todos pela Saúde, Cornell University, New York State College of Veterinary Medicine, Imperial College London, The University of Texas Medical Branch at Galveston
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: Wellcome Trust, European Commission, Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Foreign, Commonwealth and Development Office, David R. Atkinson Center for a Sustainable Future , Cornell University, Medical Research Council
Awards: G1244747085, G1557547567, Polymer - Carbon Nanotubes Active Systems for Photovoltaics, MRC Centre for Global Infectious Disease Analysis, G3135932678, G3166327464, G3482800875, G393184570, ARBOVERSE, a data-driven platform and disease modeling to anticipating and mitigating arbovirus emergence, G4926557987, Dengue and Zika Immunology and Genomics Multi-Country Network (DeZi Network), Centres for Antimicrobial Optimisation Network – Brazil (CAMO-Net Brazil), ARBOVERSE, a data-driven platform and disease modeling to anticipating and mitigating arbovirus emergence, Centres for Antimicrobial Optimisation Network – Brazil (CAMO-Net Brazil)
OpenAlex ID: W7140187341