Remember all #EpiverseTRACE packages are:
🔹 Open-source & community-driven.
🔹 Developed by an interdisciplinary team of epidemiologists & data scientists.
🔹 Built for interoperability within outbreak response pipelines.

#rstats

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🔬 The #EpiverseTRACE training tools are:

✅ Free and open access
✅ On epidemiological modeling & outbreak analytics
✅ Reusable for hands-on workshops using R #rstats
✅ Open for your contributions
✅ Multilingual resources to reach English and Spanish-speaking communities (French upcoming!)

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The #DPGA accelerates progress towards the Sustainable Development Goals #SDG by supporting open-source software, open data, AI, and digital resources for social impact. Our work in outbreak analytics and modelling aligns with this mission to build trustworthy, accessible tools. #EpiverseTRACE (2/3)

#EpiverseTRACE is now on Bluesky & LinkedIn! 🎉

We’re expanding to be more inclusive & diverse, reaching a wider audience in public health & data science.

Want to know more about what we do?⁉️🤔

🧵a thread!

Back from Kenya, where I had the privilege of co-leading an Outbreak Data Science workshop with @jamesazam.bsky.social at KEMRI-Wellcome Trust. I'm proud to see open, reproducible tools like #EpiverseTRACE @epiverse-trace.bsky.social making a difference.

#EpiverseTRACE training empowers public health pros and policymakers with data skills for better decisions in health emergencies. Huge thanks to @andreevallecam.bsky.social Laura Gómez Bermeo data.org/people/laura-gomez-bermeo/ & Abdoelnaser Degoot linkedin.com/in/abdoelnaser-degoot-02089682/

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Excited to share that #EpiverseTRACE is now part of the Digital Public Goods Alliance #DPGA ecosystem!

At Epiverse we believe open science and digital public goods are key to addressing global health challenges. Thanks, DPGA for recognizing our work! github.com/dpgalliance

🧵 report in thread (1/3)

{readepi} is part of #EpiverseTRACE, building open-source R tools for outbreak analytics.
Check it out and let us know what you think!

📖 Learn more: epiverse-trace.github.io/readepi

📍 Where to find #finalsize?

📦 Install: install.packages("finalsize")
📖 Learn more: epiverse-trace.github.io/finalsize/

💬 Already using {finalsize}? Let us know! 📩 [email protected]

#EpiverseTRACE #rstats

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Building #PublicHealth data science capacity is key!

At #EpiverseTRACE, we combine open-source tools #rstats with hands-on #training to equip the next generation of public health professionals and data scientists with cutting-edge analytical skills.

We host Spanish and English #tutorials!

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Need realistic outbreak simulation data? Want to test out your theories, teach or practice your skills? Look no further!

{simulist} is an R package for simulating individual-level infectious disease outbreak data.

🧵 #simulist is our #EpiverseTRACE R Package of the Week! (1/4) #rstats

🚀 #rstats package of the week {finalsize}

Looking for an open-source solution to calculate the final size of a SIR epidemic?

#finalsize is part of the #EpiverseTRACE ecosystem, designed to support epidemiologists and public health professionals in tackling infectious disease challenges.

🧵 (1/5)

🔎 How can #finalsize help you?

✅ Calculate the final size of an epidemic given the R0;
✅ Estimate the epidemic size with differences/heterogeneities among demographic groups;
✅ Provide rough estimates of the effectiveness of pharmaceutical interventions.

#EpiverseTRACE #rstats

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#linelist and all Epiverse packages are:
🔹 Open-source and community-driven
🔹 Developed by epidemiologists and data scientists
🔹 Designed for seamless interoperability within outbreak response pipelines

#epiverseTRACE #outbreakanalytics #infectiousdiseasemodelling #epidemiology #rstats

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