Internationale Projekte mit Klimawandelbezug

GHPP2: Accessing Building Capacities Madagascar Public Health System (ABCM) (Jan 2023 – Dez 2025)

The project will assess Madagascar’s public health system and develop a roadmap to strengthen and increase the resilience of the public health system. Tailored trainings will further strengthen capacities for detection and surveillance of major vector-borne diseases through a one health approach.

GHPP2: PAcCI (Public Health Action for Côte d'Ivoire)

The project aims to reenforce Côte d'Ivoire's capacities for a molecular and genomic surveillance of, among others, vector bourne diseases and pathogens resistant to antimicrobials. Respective disease dynamics are particularly sensitive to climate and environmental changes, with implications for public health decision making. This is also being addressed through policy analysis conducted within this project.

Community-Based One Health Participatory and Empowerment Strategy for One Health Interventions (COPE) (Jan 2023-Dez 2025)

Population growth in Nigeria will not only put further stress on the (public) health system, but the resulting demand for means of livelihood necessitates human encroachment, resulting in an increasing burden on the environment, and a greater exposure to diseases and the risk of zoonotic pathogen spill-over from domestic animals and wildlife. The project focuses on participatory approaches for the prevention of zoonotic diseases and further health related challenges in a Lassa fever community in Nigeria.

A social-ecological network approach to understanding zoonotic outbreak risk (SENZOR) (Mai 2023 – April 2027)

To understand the risk of zoonotic outbreaks, we need to create a more comprehensive understanding of local scale infection dynamics. We will sample small bodied wild animals, domestic animals, and humans, in a systematic, structured sampling regime in two landscape types (highly agricultural and seminatural) over three years in The Gambia and Nigeria. For a select group of high-risk viral pathogens we will build contact networks for all local actors involved in transmission and will employ participatory modelling and ethnographic methods to gain a deeper insight into how humans interact with this network.

Finally, we will use a socio-ecological systems modelling approach to predict risks both across the landscapes and in plausible future scenarios to inform outbreak preparedness and management strategies.

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