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Measuring the effects of COVID-19-related disruption on dengue transmission in southeast Asia and Latin America: a statistical modelling study.
Chen, Yuyang; Li, Naizhe; Lourenço, José; Wang, Lin; Cazelles, Bernard; Dong, Lu; Li, Bingying; Liu, Yang; Jit, Mark; Bosse, Nikos I; Abbott, Sam; Velayudhan, Raman; Wilder-Smith, Annelies; Tian, Huaiyu; Brady, Oliver J.
Afiliación
  • Chen Y; State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.
  • Li N; State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; MOE Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal U
  • Lourenço J; Biosystems and Integrative Sciences Institute, University of Lisbon, Lisbon, Portugal.
  • Wang L; Department of Genetics, University of Cambridge, Cambridge, UK; Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.
  • Cazelles B; Institut de Biologie de l'École Normale Supérieure UMR8197, Eco-Evolutionary Mathematics, École Normale Supérieure, Paris, France; Unité Mixte Internationnale 209, Mathematical and Computational Modeling of Complex Systems, Sorbonne Université, Paris, France.
  • Dong L; MOE Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, China.
  • Li B; State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.
  • Liu Y; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Jit M; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Bosse NI; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Abbott S; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
  • Velayudhan R; Department of Control of Neglected Tropical Diseases, WHO, Geneva, Switzerland.
  • Wilder-Smith A; Department of Disease Control, London School of Hygiene & Tropical Medicine, London, UK; Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany.
  • Tian H; State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China. Electronic address: tianhuaiyu@gmail.com.
  • Brady OJ; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK. Electronic address: oliv
Lancet Infect Dis ; 22(5): 657-667, 2022 05.
Article en En | MEDLINE | ID: mdl-35247320
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 / 3_ND / 4_TD Problema de salud: 2_enfermedades_transmissibles / 3_dengue / 3_neglected_diseases / 4_pneumonia Asunto principal: Dengue / COVID-19 Tipo de estudio: Etiology_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Lancet Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 / 3_ND / 4_TD Problema de salud: 2_enfermedades_transmissibles / 3_dengue / 3_neglected_diseases / 4_pneumonia Asunto principal: Dengue / COVID-19 Tipo de estudio: Etiology_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Lancet Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2022 Tipo del documento: Article País de afiliación: China