| Literature DB >> 32482555 |
Christophe Boëte1, Maite Guardiola2, Estrella Lasry3, Sakib Burza3, Silvia Moriana3, William Robertson3.
Abstract
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.Entities:
Keywords: emergency; epidemiology; malaria; modelling; relief; vector
Year: 2020 PMID: 32482555 DOI: 10.1016/j.pt.2020.05.005
Source DB: PubMed Journal: Trends Parasitol ISSN: 1471-4922