DataDotOrg 307d ago

🆕 Showcasing the EpiNow2 R Package 📈 Whether you’re monitoring real-time changes in transmission or forecasting future case trends, {EpiNow2} helps you estimate the time-varying reproduction number (Rₜ), growth rate, and doubling time, all while accounting for epidemiological and reporting delays, reporting patterns, and uncertainty. 💡 Designed by the epiforecasts research group at the London School of Hygiene and Tropical Medicine, U. of London, and supported by the Epiverse TRACE Initiative, using open-source tools, best practices, and active community feedback to make outbreak analytics robust, reproducible, and practical. 🔗 Learn more about {EpiNow2}: https://lnkd.in/equcuGvc