Group | Mathematical Epidemiology

Contact Networks

The research group Mathematical Epidemiology focuses on the intersection between mathematics, epidemiology and ecology. We combine field and laboratory data with theoretical and computational models to improve understanding of population, infection and disease dynamics, focusing on malaria and neglected tropical diseases.

Selected Projects

Opisthorchis Modelling

By developing models of the transmission dynamics of food-borne trematodes, such as liver flukes, we elucidate the role of reservoirs hosts in maintaining transmission in rural areas of Lao PDR, and determine the impact of intervention strategies on reducing morbidity. Read more about the SNF project

NTD Modelling Consortium

As members of the Neglected Tropical Diseases Modelling Consortium, we advice global bodies and national control programs on the feasibility and ideal strategies towards elimination targets for human African trypanosomiasis. Further information and  link to a study on Assessing Strategies against Gambiense Sleeping Sickness through Mathematical Modeling.

Selected Projects

All Projects

Latest Publications

All Publications

Das A.M et al. The impact of reactive case detection on malaria transmission in Zanzibar in the presence of human mobility. Epidemics. 2022;41:100639. DOI: 10.1016/j.epidem.2022.100639

Denz A et al. Predicting the impact of outdoor vector control interventions on malaria transmission intensity from semi-field studies. Parasit Vectors. 2021;14:64. DOI: 10.1186/s13071-020-04560-x

Castaño M.S et al. Assessing the impact of aggregating disease stage data in model predictions of human African trypanosomiasis transmission and control activities in Bandundu province (DRC). PLoS Negl Trop Dis. 2020;14:e0007976. DOI: 10.1371/journal.pntd.0007976

Chitnis N et al. Theory of reactive interventions in the elimination and control of malaria. Malar J. 2019;18:266. DOI: 10.1186/s12936-019-2882-z

Multerer L, Smith T, Chitnis N. Modeling the impact of sterile males on an Aedes aegypti population with optimal control. Math Biosci. 2019;311:91-102. DOI: 10.1016/j.mbs.2019.03.003

Bürli C, Harbrecht H, Odermatt P, Sayasone S, Chitnis N. Mathematical analysis of the transmission dynamics of the liver fluke, Opisthorchis viverrini. J Theor Biol. 2018;439:181-194. DOI: 10.1016/j.jtbi.2017.11.020

Laager M et al. The importance of dog population contact network structures in rabies transmission. PLoS Negl Trop Dis. 2018;12(8):e0006680. DOI: 10.1371/journal.pntd.0006680