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Co-morbidity and co-infection dynamicCo-morbidity and co-infection dynamic modelling to optimize the control of neglected tropical diseases, tuberculosis, malaria and HIV across vulnerable populations

Project description

Tackling co-infections to save lives

Tuberculosis, malaria, HIV/AIDS, and neglected tropical diseases continue to be among the most lethal infections, especially across sub-Saharan Africa. However, little is known about how these diseases interact, and how co-infections define transmission, disease progression, and control. With this in mind, the ERC-funded CoCoDyMo project aims to develop new models that can unravel their biological interactions. Specifically, it will explore where co-infections are found to predict how mixed interventions, such as vaccines and treatments, might have the highest health and economic impact. By integrating data science, modelling diseases, and health economics, CoCoDyMo will provide the basis for better, integrated control approaches to safeguard the world’s least protected people.

Objective

Infections are a leading cause of mortality and morbidity. Among these, tuberculosis (TB), malaria, HIV/AIDS and Neglected Tropical Diseases (NTDs) are the main contributors to the global burden of disease, particularly in Sub-Saharan Africa, where these chronic infections predominantly affect impoverished communities. Despite increasing evidence that these diseases affect the same populations and that interactions between them impact disease transmission and control, the complex, non-linear dynamics of co-infections with multiple NTDs, TB, malaria or HIV/AIDS, and the implications of these dynamics for disease control remain unknown. Therefore, in CoCoDyMo, we propose to integrate my deep expertise in data sciences, mathematical modelling of infectious diseases and health economics to gain novel insights into co-infections between NTDs, TB, malaria and HIV/AIDS and optimize the integrated control of these diseases. First, we will map, at a fine geographical scale across Sub-Saharan Africa, where NTDs, TB, malaria, and HIV/AIDS are likely to be co-infectious. Then, we will develop new methods to dynamically model relevant co-infections, to understand the life course history of co-infections, elucidate some of the biological questions surrounding the interactions between different pathogens, and how these influence disease progression and control. Finally, we will forecast future trends in disease transmission and evaluate the likely synergistic impact of different interventions (drug administration, vaccines, and surveys) across multiple diseases, both in terms of health and economic benefits. These efforts, at the frontier of infectious disease research, will provide novel insights into the fundamental biology of co-infections with NTDs, TB, malaria and HIV/AIDS and pave the way for exploring relevant policy questions around the integration of disease-specific programs into unified efforts that can maximize the benefits to vulnerable populations.

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(opens in new window) ERC-2024-ADG

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Host institution

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 497 921,00
Address
WELLINGTON SQUARE UNIVERSITY OFFICES
OX1 2JD Oxford
United Kingdom

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Region
South East (England) Berkshire, Buckinghamshire and Oxfordshire Oxfordshire
Activity type
Higher or Secondary Education Establishments
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Total cost

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