Last Updated: 18/06/2024

Developing model applications to support national malaria elimination strategies

Objectives

This project involves the development of mathematical disease transmission models and costing tools to provide a platform to turn national surveillance data into strategic information to support the policy-makers in programme and funding decisions.

Principal Investigators / Focal Persons

Sheetal Silal

Rationale and Abstract

Malaria is a vector borne disease that is both preventable and treatable. Despite this, it is estimated that there were 216 million cases and 445 000 deaths from malaria worldwide in 2016, with 90% of cases and 91% of deaths occurring in the WHO African Region. With a global push towards malaria elimination, this study aims to support national and regional policy design in South Africa and other African countries, and has the ability to contribute directly towards achieving malaria elimination in these countries. It involves the development of mathematical disease transmission models and costing tools to provide a platform to turn national surveillance data into strategic information to support the policy-makers in programme and funding decisions. User-friendly computer applications will be designed to allow policy-makers to run simple mathematical models and navigate the output of millions of simulations of more complex models with the aid of interactive graphs. These tools focus on implementation and translation of the modelling results allowing policy-makers to design an elimination/control strategy incrementally by combining candidate interventions to predict the desired impact and cost.

Date

Apr 2019 — Sep 2022

Total Project Funding

$647,425

Funding Details
Wellcome Trust, United Kingdom

Grant ID: 214236/B/18/Z
GBP 499,289
Country / Project Site(s)

South Africa

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