Group | Mathematical Epidemiology
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.

Nakul Chitnis
PD, PhD
Group Leader
+41612848242
nakul.chitnis@swisstph.ch
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 ProjectsLatest Publications
All PublicationsMulterer 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