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Individual-based model of P. vivax transmission

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"

A python package to impute the SNP summary statistics from neighboring SNPs summary statistics by taking advantage of linkage desiquilibrium

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)

This repository is tied to project #17289 submitted by Prof. Anna-Bella Failloux. It will host all the developments around that project to help replicate the results from the article.