Modelling climate impacts on malaria in Tanzania and Mozambique

The project is structured around four main work packages. The first, Stakeholder Engagement and Data Mapping (WP1), involves engaging stakeholders to define essential working partnerships, data and modelling needs, and useful model outputs for policy and decision-making. WP1 also aims to evaluate the additional efforts and costs associated with responding to climate stressors and will incorporate stakeholder and community perspectives in modelling and the decision-making process. Data Collection and Quality Enhancement (WP2), the second package, will focus on digitizing historical rainfall and temperature data, developing standardized protocols, and collecting comprehensive data on mosquito populations, malaria incidence, and health systems characteristics and how they respond to weather patterns/events. The third package, Climate-Malaria Transmission Modelling Integration (WP3), will revive and improve existing malaria risk mapping tools, such as the Tanzania Meteorological Authority’s MapRoom, and employ advanced statistical and mechanistic models to explore the links between climate variability and malaria transmission. This package will also measure how SoEEs influence malaria vectors and disease risk over time. The fourth package, Capacity Building and Data Literacy Enhancement (WP4) aim to enhance climate and modelling data literacy among key stakeholders and establish a Climate & Health Scholar program to train local MSc and PhD students in advanced modelling techniques. This project will provide essential insights for policy and decision-makers in managing the impacts of climate change on malaria. Through this, the project seeks to strengthen Africa’s resilience against malaria in an era of increasing climate variability.

IHI Project DetailsGlobal Grand Challenges details

Capacity Strengthening
Climate Change
Modeling

Oct 2024 — Nov 2028

$1.65M

Mozambique
Tanzania