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
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.
#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
3/3
{simulist} R package by Epiverse powered by data.org
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
#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/
(3/4)
🔬 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!)
(2/4)
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!
🧵(1/4)
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
(5/5)
📍 Where to find #finalsize?
📦 Install: install.packages("finalsize")
📖 Learn more: epiverse-trace.github.io/finalsize/
💬 Already using {finalsize}? Let us know! 📩 epiversecomms@data.org
#EpiverseTRACE #rstats
(3/5)
🔎 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
(2/5)
🚀 #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)
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)
Data.org: Contribution To The DPG Ecosystem In 2024. Epiverse-trace DPG Development. The Epiverse TRACE initiative focuses on building a high-quality, open-source, and transparent analytics toolkit. This effort helps to inform professionals working on epidemic responserespons ande, aimisng to increase the use of epidemiological data-analytics tools by field epidemiologists, ministries of health, researchers, and decision-makers to improve the reproducibility and scalability of epidemic response. The project emphasises community-driven software development, with a focus on user needs. Key principles include software development and training materials as co-creation, lean and agile collaboration, decentralising code ownership, code reviews, documentation and how they can be, being part of the digital public goods landscape, and community health. Epiverse TRACE also prioritises the integration of existing tools over developing new ones and uses open-source, liberal licenses for their tools. data.org is developing a suite of open-source R packages and training materials for outbreak analytics and aims to build upon open data standards and develop interoperability with existing data resources within the public health and data science ecosystem.
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)
#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!
