Unit | Infectious Disease Modelling

The Infectious Disease Modelling unit makes use of techniques of computational sciences, statistics and mathematical modelling to better understand and to address contemporary issues in infectious disease and global health. Our main projects are on malaria, and other vector-borne diseases. We focus on understanding transmission dynamics, pathogenesis, and the impacts of health interventions in the contexts of real-world health systems.

Impact on Infectious Diseases

Our research helps to identify the potential of new innovations, such as new drugs or ways of killing mosquitoes. We investigate different strategies, and ways of allocating resources in order to achieve effective and equitable impact on infectious diseases.  We work closely with other major research institutions in low- and middle-income countries and in Switzerland. Our audience includes researchers, global health donors and public health policy makers.

Malaria Modelling Ressource Centre

The Malaria Modelling Resource Centre of this unit provides an outreach and response capacity enabling us to advise partners including malaria control programmes on the likely effects of different malaria interventions and integrated control strategies. This contributes to the Swiss TPH role as a WHO Collaborating Centre for Modelling, Monitoring and Training for Malaria Control and Elimination.

 

Melissa Penny

Melissa Penny, SNF Professor, PhD, PD

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(1):e0007976. DOI: 10.1371/journal.pntd.0007976

Plucinski M.M et al. Estimation of malaria-attributable fever in malaria test-positive febrile outpatients in three provinces of Mozambique, 2018. Am J Trop Med Hyg. 2020;102(1):151-155. DOI: 10.4269/ajtmh.19-0537

Briët O.J.T et al. Models of effectiveness of interventions against malaria transmitted by Anopheles albimanus. Malar J. 2019;18:263. DOI: 10.1186/s12936-019-2899-3

Brunner N.C et al. The potential of pregnant women as a sentinel population for malaria surveillance. Malar J. 2019;18:370. DOI: 10.1186/s12936-019-2999-0

Camponovo F, Ockenhouse C.F, Lee C, Penny M.A. Mass campaigns combining antimalarial drugs and anti-infective vaccines as seasonal interventions for malaria control, elimination and prevention of resurgence: a modelling study. BMC Infect Dis. 2019;19:920. DOI: 10.1186/s12879-019-4467-4