Explore projects

Keeping R and Python specific snippets

Git repository to host The PvSeroTAT RShiny app. This app provides a user-friendly interface to apply classification algorithms to detect recent infections by Plasmodium vivax, as detailed in the recent paper by Longley et al. (https://doi.org/10.1038/s41591-020-0841-4)

Course material for the part about R and RStudio of the PhD course.

Repository containing code and data for the paper by Bosetti et al. "Epidemiology and control of SARS-CoV-2 epidemics in partially vaccinated populations: a modeling study applied to France"

Repository containing scripts and data for the paper "Hozé et al., Lancet Public Health, Monitoring the proportion of the population infected by SARS-CoV-2 using age-stratified hospitalisation and serological data: a modelling study"

Codes and Data for the paper “SARS-CoV-2 IgG seroprevalence surveys in blood donors before the vaccination campaign, France 2020-2021”.

Code and data for the article by Paireau et al. "An ensemble model based on early predictors to forecast COVID-19 healthcare demand in France"

Sources for the server running at http://hub05.hosting.pasteur.fr/NMD_complexes/ Allows exploration of interactions around NMD complexes (Dehecq et al., EMBOJ 2018)