Maplaria: a user friendly web-application for spatio-temporal malaria prevalence mapping.

ABSTRACT:

Background

Model-based geostatistical (MBG) methods have been extensively used to map malaria risk using community survey data in low-resource settings where disease registries are incomplete or non-existent. However, the wider adoption of MBG methods by national control programmes to inform health policy decisions is hindered by the lack of advanced statistical expertise and suitable computational equipment. Here, Maplaria, an interactive, user-friendly web-application that allows users to upload their own malaria prevalence data and carry out geostatistical prediction of annual malaria prevalence at any desired spatial scale, is introduced.

Methods

In the design of the Maplaria web application, two main criteria were considered: the application should be able to classify s

SUBMITTER: Giorgi E 

PROVIDER: S-EPMC8686323 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature