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Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil.
Castro, Lauren A; Generous, Nicholas; Luo, Wei; Pastore Y Piontti, Ana; Martinez, Kaitlyn; Gomes, Marcelo F C; Osthus, Dave; Fairchild, Geoffrey; Ziemann, Amanda; Vespignani, Alessandro; Santillana, Mauricio; Manore, Carrie A; Del Valle, Sara Y.
Afiliación
  • Castro LA; Information Systems and Modeling Group, Analytics, Intelligence and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
  • Generous N; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
  • Luo W; National Security and Defense Program Office, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
  • Pastore Y Piontti A; Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, United States of America.
  • Martinez K; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Gomes MFC; Geography Department, National University of Singapore, Singapore, Singapore.
  • Osthus D; Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts, United States of America.
  • Fairchild G; Information Systems and Modeling Group, Analytics, Intelligence and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
  • Ziemann A; Department of Mathematics & Statistics, Colorado School of Mines, Golden, Colorado, United States of America.
  • Vespignani A; Núcleo de Métodos Analíticos em Vigilância Epidemiológica Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil.
  • Santillana M; Statistical Sciences Group, Computer, Computational, and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
  • Manore CA; Information Systems and Modeling Group, Analytics, Intelligence and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
  • Del Valle SY; Space Data Science and Systems Group, Intelligence and Space Research Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
PLoS Negl Trop Dis ; 15(5): e0009392, 2021 05.
Article en En | MEDLINE | ID: mdl-34019536
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Brotes de Enfermedades / Dengue / Predicción Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: PLoS Negl Trop Dis Asunto de la revista: MEDICINA TROPICAL Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Brotes de Enfermedades / Dengue / Predicción Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: PLoS Negl Trop Dis Asunto de la revista: MEDICINA TROPICAL Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos