Last Updated: 26/09/2023
Towards the malaria end game in Malawi: Developing and validating an Early Warning System using geostatistical methods for heterogeneous transmission
Objectives
The aim of this project is to develop a malaria early warning system (EWS) surveillance tool that can detect unexpected spatiotemporal changes (in both directions) in malaria cases and malaria deaths at sub-district level beyond predetermined thresholds.
Liverpool School of Tropical Medicine (LSTM), United Kingdom
This work will build on a spatiotemporal EWS designed by Dr Giorgi and colleagues for neighbouring Mozambique as a part of the PhD, the candidate will conduct two components, a) a review of malaria EWSs in Sub-Saharan Africa across different transmission levels and the geostatistical methods used in EWS to date b) develop and validate a malaria EWS using novel geospatial techniques to analyse and visualise local upsurges, outbreaks and reductions in case load, build on a spatiotemporal EWS designed by Dr Giorgi and colleagues for neighbouring Mozambique.
Oct 2021 — Sep 2025
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