Simon Cauchemez
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scauchemez.bsky.social
Simon Cauchemez
@scauchemez.bsky.social
Professor of infectious disease epidemiology and modelling at Institut Pasteur, Paris. Transmission, epidemic dynamics and forecasting, seroepidemiology, vaccines and NPIs, respiratory and vector born diseases, zoonoses, Public Health. #IDSky
Simplicity is a key strength of the package: it only takes a few lines of code to run and compare different types of models! Dev by Nathanael Hoze, with contributions from Marga Pons, @jessmetcalf.bsky.social, @mtwhite.bsky.social, @hsalje.bsky.social.
February 11, 2025 at 4:21 PM
Rsero is useful to determine optimal designs for serosurveys depending on context. For example, should you target the general population, children <10y.o. or <20y.o.? This will depend on the expected annual probability of infection (FOI)...
February 11, 2025 at 4:21 PM
You can also use Rsero to evaluate the impact of interventions, here mass drug administration on Trachoma prevalence in Nepal.
February 11, 2025 at 4:21 PM
Rsero can assess how infection risk may vary with individual characteristics, e.g. gender and location.
February 11, 2025 at 4:21 PM
Rsero can help you determine if your data are more consistent with a scenario of endemic ‘constant’ circulation, or with the occurrence of 1, 2 or 3 outbreaks in the last 50 years. It can estimate the year when these outbreaks occurred.
February 11, 2025 at 4:21 PM