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

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

Barbosa S, Kay K, Chitnis N, Hastings I.M. Modelling the impact of insecticide-based control interventions on the evolution of insecticide resistance and disease transmission. Parasit Vectors. 2018;11(1):482. DOI: 10.1186/s13071-018-3025-z

Buonomo B, Chitnis N, D'Onofrio A. Time heterogeneous programs of vaccination awareness: modeling and analysis. Ricerche mat.. 2018;67(1):205-225. DOI: 10.1007/s11587-018-0364-1

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

Chitnis N, Schapira A, Schindler C, Penny M, Smith T. Mathematical analysis to prioritise strategies for malaria elimination. J Theor Biol. 2018;455:118-130. DOI: 10.1016/j.jtbi.2018.07.007

Rock K.S et al. Assessing strategies against gambiense sleeping sickness through mathematical modeling. Clin Infect Dis. 2018;66(Suppl. 4):S286-S292. DOI: 10.1093/cid/ciy018