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Leveraging mathematical models of disease dynamics and machine learning to improve development of novel malaria interventions.
Golumbeanu, Monica; Yang, Guo-Jing; Camponovo, Flavia; Stuckey, Erin M; Hamon, Nicholas; Mondy, Mathias; Rees, Sarah; Chitnis, Nakul; Cameron, Ewan; Penny, Melissa A.
  • Golumbeanu M; Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
  • Yang GJ; University of Basel, Basel, Switzerland.
  • Camponovo F; Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
  • Stuckey EM; Key Laboratory of Tropical Translational Medicine of Ministry of Education and School of Tropical Medicine and Laboratory Medicine, The First and Second Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou, Hainan, People's Republic of China.
  • Hamon N; University of Basel, Basel, Switzerland.
  • Mondy M; Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
  • Rees S; University of Basel, Basel, Switzerland.
  • Chitnis N; Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Cameron E; The Bill & Melinda Gates Foundation, Seattle, WA, USA.
  • Penny MA; Innovative Vector Control Consortium, Liverpool, UK.
Infect Dis Poverty ; 11(1): 61, 2022 Jun 04.
Article en En | MEDLINE | ID: mdl-35659301
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Malaria Tipo de estudio: Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Malaria Tipo de estudio: Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article