Geostatistical analysis of Malawi's changing malaria transmission from 2010 to 2017.

ABSTRACT: Background: The prevalence of malaria infection in time and space provides important information on the likely sub-national epidemiology of malaria burdens and how this has changed following intervention. Model-based geostatitics (MBG) allow national malaria control programmes to leverage multiple data sources to provide predictions of malaria prevalance by district over time. These methods are used to explore the possible changes in malaria prevalance in Malawi from 2010 to 2017.  Methods: Plasmodium falciparum parasite prevalence ( PfPR) surveys undertaken in Malawi between 2000 and 2017 were assembled. A spatio-temporal geostatistical model was fitted to predict annual malaria risk for children aged 2-10 years ( PfPR _2-10) at 1×1 km spatial

SUBMITTER: Chipeta MG 

PROVIDER: S-EPMC6662685 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature