Deep learning from videography as a tool for measuring E. coli infection in poultry
Scheidwasser N. et al, (2025), Royal Society Open Science
Multi-model approach to understand and predict past and future dengue epidemic dynamics
Mills C. et al, (2025), Royal Society Open Science
A Primer on Inference and Prediction With Epidemic Renewal Models and Sequential Monte Carlo.
Steyn N. et al, (2025), Statistics in medicine, 44
THE MATHEMATICS OF SEROCATALYTIC MODELS WITH APPLICATIONS TO PUBLIC HEALTH DATA
Kamau E. et al, (2025), Statistics in Medicine
Renewal equations for mosquito-borne diseases
Mills C. et al, (2025), Methods in Ecology and Evolution
Bayesian modelling of repeated cross-sectional epidemic prevalence survey data
Steyn N. et al, (2025)
How COVID-19 affected academic publishing: a 3-year study of 17 million research papers.
Whitaker M. et al, (2025), International journal of epidemiology, 54
Artificial intelligence for modelling infectious disease epidemics.
Kraemer MUG. et al, (2025), Nature, 638, 623 - 635
The Mathematics of Serocatalytic Models with applications to public health data
Kamau E. et al, (2025)
Bayesian Inference of Phylogenetic Distances: Revisiting the Eigenvalue Approach.
Penn MJ. et al, (2025), Bulletin of mathematical biology, 87
Innovative methodological approach to assess dengue transmission: findings from the SERODEN study in Africa
Vicco MA. et al, (2025), INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 152
Seroprevalence of dengue in the Democratic Republic of Congo, Ghana and Senegal: results of the SERODEN study
Awuah AA-A. et al, (2025), INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 152
The time- and space-varying roles of human mobility in shaping urban dengue epidemics
Mills C. et al, (2025)
Understanding reservoirs of multi-host pathogens: A One Health approach to rabies in Tanzania
Hayes S. et al, (2024), One Health Cases
Clinical and epidemiological characteristics of Madariaga and Venezuelan equine encephalitis virus infections in Panama
Rivera LF. et al, (2024), Emerging Infectious Diseases
Strategies to increase response rate and reduce non-response bias in population health research: a series of randomised controlled trials during a large COVID-19 study
Atchison CJ. et al, (2024), JMIR Public Health and Surveillance