Christian Selinger
Disease modeler
Disease incidence and contact networks
A mathematician by trade, I have been working in disease modeling for the past 12 years.
Infectious disease dynamics are multi-scale by definition. The combination of pathogen or immune dynamics within a host and changing patterns of interactions between hosts during transmission result in rich population-level phenomena. Ranging from stochastic emergence and extinction, to structured and well-mixed epidemic processes, I am interested in applying mathematical and statistical concepts to answer questions from the angle of population health:
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What is the role of host response to infection towards disease outcome?
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When does within-host heterogeneity matter for disease dynamics at the population level?
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How can we disentangle various sources of heterogeneity to evaluate intervention effectiveness?
I have been mainly interested in pathogens and diseases affecting humans such as HIV, Influenza, Polio, HPV, Coronaviruses and Malaria.
I am currently employed at the Swiss Tropical and Public Health Institute.
selected publications
- The source of individual heterogeneity shapes infectious disease outbreaksProceedings of the Royal Society B: Biological Sciences May 2022
- Predicting COVID-19 incidence in French hospitals using human contact network analyticsInternational Journal of Infectious Diseases Oct 2021
- Targeting and vaccine durability are key for population-level impact and cost-effectiveness of a pox-protein HIV vaccine regimen in South AfricaVaccine Apr 2019
- Assessing the stability of polio eradication after the withdrawal of oral polio vaccinePLOS Biology Apr 2018
- Cytokine systems approach demonstrates differences in innate and pro-inflammatory host responses between genetically distinct MERS-CoV isolatesBMC Genomics Dec 2014