@epiverse-trace
Global collab (https://www.javeriana.edu.co/, https://www.uniandes.edu.co/, @mrcunitgambia.bsky.social, @lshtm.bsky.social) developing a trustworthy data analysis ecosystem to get ahead of the next public health crisis. 📌 https://epiverse-trace.github.io/
📢Join the "Outbreak Analytics & Applied Modelling in R" short course!🌍📊
This will be the 2nd edition!
📅 Online | July 2026
🔹 Clean & validate data for Epicurves
🔹 Quantify transmission & severity
🔹 Account for superspreading
🔹 Simulate interventions
📌 Learn more: www.lshtm.ac.uk/study/course...
It’s a wrap! 🎉
Our 3-day Strengthening Adoption of Epiverse Tools in Africa training ends on a high note.
As 10 epiverse fellows from 10 #WestAfrican countries are now equipped with new skills, thanks to #DataDotOrg & WHO African Region.
#EpiverseTRACE
@epiverse-trace.bsky.social
🎥 Missed our talk last Thursday?
The Black In Maths Association (BMA) just released the full recording!
We introduced #EpiverseTRACE for outbreak response and ran a live-coding SEIRV demo using #rstats packages: #epidemics, #EpiEstim, #epiparameter, #socialmixr.
📺 Watch: youtu.be/FSsXIBG_nwI?...
{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
👩🔬 Who it’s for:
Public health professionals, outbreak responders, and researchers who analyze data from these systems.
📦 Install from CRAN: cran.r-project.org/web/packages...
🔍 What it does:
Seamlessly import data from DHIS2, SORMAS, and relational databases directly into R — efficiently, securely, and ready for analysis.
🎉 New on CRAN: the {readepi} package!
We’re excited to announce the release of {readepi}, an R package that makes working with epidemiological data faster and easier.
⚠️ Certification & personalized support aren’t available yet.
But you can still connect with peers + join discussions through our Google Group:
👉 groups.google.com/g/epiverse-t...
🧵(4/4)
👩🏽💻 Want to follow along with the current cohort? Use the course overview to guide your learning:
data.org/initiatives/...
🧵(3/4)
📊 The training offers hands-on materials in epidemiology + R programming, designed for real-world public health impact.
Developed with Pontificia Universidad Javeriana & Applied Epi.
ℹ️ Learn more: data.org/initiatives/...
🧵(2/4)
🎓 Epiverse has launched a fellowship + training program in Africa — and YOU can be part of it!
The Epiverse Epidemiological Data Science Training is a free, self-paced course tailored to the African public health context.
👉 Join here: groups.google.com/g/epiverse-t...
🧵(1/4)
#NewLaunchAlert!
Our @epiverse-trace.bsky.social project launched the #EpiTrainingKit #Africa, an online course designed for Africa’s cultural, linguistic & epidemiological contexts.
The course is now available in
English: tinyurl.com/w83aaxbh
French: tinyurl.com/yyawpj29
#PublicHealth
As part of the @epiverse-trace.bsky.social project, @mrcunitgambia.bsky.social staff with @lshtm.bsky.social are facilitating a two-week training at MRC Uganda.
Participants are learning advanced outbreak analytics tools to strengthen real-time monitoring, analysis & response to health emergencies.
Whether you're a public health pro, data scientist, or epidemiologist, this is a great chance to see how open-source tools like EpiNow2 are transforming infectious disease modeling and outbreak response.
Don’t miss it! 🚀
📅 Date: August 14, 2025
🕒 Time: 10am EST / 7:30pm IST / 4:00pm CAT
📍 Location: Online
👉 Register here: data-org.zoom.us/meeting/regi...
🧠 What to expect in this session:
🔹 A behind-the-scenes look at EpiNow2's development and features with James Azam, PhD, Research Software Engineer at LSHTM @jamesazam.bsky.social
🔹 Real-world public health use cases from Kelly Charniga, Postdoc at Institut Pasteur @kcharniga.bsky.social
TRACEing EpiNow2. Date: August 14, 2025; Time: 10am EST / 7:30pm IST / 4:00pm CAT; Location: Online
📢 Join us for our next TRACEing Epiverse webinar!
We’re showcasing EpiNow2, an open-source R package developed with support from the Epiverse TRACE initiative to power real-time outbreak analytics and decision-making.
🧵👇
IDRC en América Latina y el Caribe | IDRC in Latin America and the Caribbean, atingi.org
🙏 Huge thanks to all who made this course possible.
@lshtm.bsky.social Center for Epidemiological Modelling and Analysis (CEMA-Africa), University of Nairobi, @who.int University of Cape Town, Modelling and Simulation Hub, Africa (MASHA), Institut Pasteur de Dakar, AIMS Research and Innovation Centre, ...
@andresmorenob.bsky.social Jaime Pavlich-Mariscal, Thumbi Mwangi, Mutono Nyamai, Sheetal Silal, Boly Diop, Dr Daouda Coulibaly, Chaitali Sinha (she/her), Instituto Salud Pública Javeriana, @datadotorg.bsky.social Pontificia Universidad Javeriana @mrcunitgambia.bsky.social
Paul K Korir, Avinash Laddha, @jamesazam.bsky.social @kcharniga.bsky.social Maryam Diarra, Eva Liliane Ujeneza, Abdoelnaser Degoot, Karim Mané, Atta Lowe, Hugo Gruson,
@andreevallecam.bsky.social Jeanette Dawa, Erika Johanna Cantor, D. Adriana Buitrago-Lopez, Geraldine Gómez Millán, ...
🎉 Special thanks to the amazing contributors & partners — researchers, institutions & supporters across continents who brought this vision to life.
🧠 Collaboration = impact.
@zulmacucunuba.bsky.social Laura Gómez-Bermeo, Danil Mikhailov, Uyi Stewart, PhD, Bubacarr Bah, Maguette Thioro NDONG, ...
🔍 Become a health detective in your community!
Jump into the course now:
👉 EN: online.atingi.org/enrol/index....
👉 FR: online.atingi.org/enrol/index....
#EpiTKit #OpenAccess #InfectiousDiseases
Developed under the Epiverse initiative and the
Epiverse Epidemiological Data Science Training for Africa, through strong South–South collaboration.
A massive shoutout to everyone who made it possible.
🙏 Thank you!
#Epiverse #GlobalHealth #Africa
data.org/initiatives/...
🧰 This course is part of the #EpiTKit:
A multilingual, open-access training strategy.
🌍 Rooted in localism, with content adapted to cultural, linguistic & epidemiological contexts in Africa & Latin America.
#FromSouthToSouth
epiverse-trace.github.io/epi-training...
🌐 Learn through a dynamic mix:
🎧 Podcasts
🎥 Videos
🧩 Interactive animations
📘 Tutorials
🎙️ Interviews with local experts
All designed for contextual learning in Africa & beyond.
#OpenAccess #OnlineLearning
You’ll explore 5 learning units:
🔹 Epidemic theory
🔹 Epidemiology for infectious diseases
🔹 Stats & probability
🔹 Epidemiological parameters
🔹 Deterministic modelling
#DiseaseModelling #DataScience
🎓 Now live in English & French!
Start learning today — first unit available now.
New content coming soon.
No application needed — just click and start.
👉 EN: online.atingi.org/enrol/index....
👉 FR: online.atingi.org/enrol/index....
🚨 New FREE self-paced course!
We are excited to launch the #EpiTrainingKit #Africa: Introduction to Infectious Disease Modelling for Public Health.
🎯 Tailored for the African context
🌍 With a gender perspective
🆓 Open-access and online
#EpiTKit #Epiverse #PublicHealth
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.
