We work on different infectious diseases, using a variety of modelling approaches and data types.
COVID-19
COVID-19 is a highly contagious respiratory illness caused by the novel coronavirus SARS-CoV-2, characterized by symptoms ranging from mild flu-like symptoms to severe respiratory distress and pneumonia.
Influenza
Influenza, commonly known as the flu, is a contagious respiratory illness caused by influenza viruses, typically characterized by sudden onset of fever, cough, sore throat, muscle aches, and fatigue.
Measles
Measles is a highly contagious viral infection characterized by fever, cough, runny nose, and a distinctive rash, and can lead to serious complications such as pneumonia and encephalitis.
HIV
HIV (Human Immunodeficiency Virus) is a virus that attacks the body's immune system, leading to a weakening of the immune response and making individuals more susceptible to infections and diseases.
RSV
RSV (Respiratory Syncytial Virus) is a common respiratory virus that can cause mild cold-like symptoms in adults and older children but can lead to severe respiratory infections, especially in infants and young children.
M-pox
M-pox is a rare viral disease caused by the monkeypox virus, with symptoms resembling those of smallpox but typically less severe.
Our expertise
Method & model development
We develop and implement new
statistical methods and mathematical models for infectious disease data analysis.
Spatiotemporal modelling
We analyze transmission over both space and time, accounting for geographic variations and temporal dynamics of outbreaks.
AI & computational efficiency
We aim to enhance the speed and scalability of simulations, enabling us to analyze large datasets and complex scenarios more quickly.
Serology & social contact data
We analyze serological and social mixing patterns relevant to disease transmission.
Economic impact
We study the economic impact of infectious diseases and mitigation measures.
Health care preferences
We study the complexities inherent in allocating healthcare resources effectively and equitably.