Invasive pneumococcal diseases (IPDs) are a major cause of morbidity and mortality worldwide. The mechanisms responsible for the epidemiological patterns of susceptible- and resistant- IPDs which include a yearly winter peak are still poorly understood. Based on data collected within French surveillance networks over 2001-2014, we use mathematical modelling and statistical inference to investigate the potential interactions between pneumococcus and acute viral respiratory infections. We aim at estimating existing interactions as a function of several factors (age, virus etc) and at quantifying the potential effect of different public health strategies in reducing the burden of IPDs in specific populations. Such strategies include pneumococcal vaccination and influenza vaccination in children and elderly. This project is funded by the region Ile de France (Dim Malinf) and the Université de Versailles Saint Quentin (PhD fellowship).
Keywords: Respiratory Viruses, Pneumococcus, Mathematical Modelling, Coinfection, Interactions