Needs and Challenges in Modelling Malaria for Emergency Contexts
| Autor: | Sakib Burza, William Robertson, Estrella Lasry, Silvia Moriana, Christophe Boëte, Maite Guardiola |
|---|---|
| Přispěvatelé: | Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UR226, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Computer science Natural Disasters [SDV]Life Sciences [q-bio] 030231 tropical medicine malaria Models Biological law.invention modelling 03 medical and health sciences 0302 clinical medicine law Component (UML) medicine Animals Humans Refugees emergency medicine.disease 3. Good health 030104 developmental biology Infectious Diseases Transmission (mechanics) Risk analysis (engineering) Vector (epidemiology) Parasitology epidemiology Emergencies relief vector Malaria |
| Zdroj: | Trends in Parasitology Trends in Parasitology, Elsevier, 2020, 36, pp.723-726. ⟨10.1016/j.pt.2020.05.005⟩ Trends in Parasitology, 2020, 36, pp.723-726. ⟨10.1016/j.pt.2020.05.005⟩ |
| ISSN: | 1471-4922 |
| DOI: | 10.1016/j.pt.2020.05.005⟩ |
| Popis: | We regret that this article is behind a paywall. While modelling is an essential component for an understanding of the epidemiology of malaria, and for designing better control measures, it rarely considers the particular contexts encountered in emergency settings. By linking these situations with the transmission parameters our aim is to correct this bias and call for a better collaboration between relief actors. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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