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Thanks to all experts who joined our 1st consultation on the establishment of a global repository of epidemiological parameters! You can still join this initiative by visiting our GitHub page (tinyurl.com/yc4dj774) and sharing your feedback. #WHOcollaboratory #Epiparameter

👋 Hello! Today we're giving a shoutout to our partnership with the #Epiparameter community led by World Health Organization (WHO) as part of the #WHOCollabatory 🤝 An initiative to create an epidemiological parameter library to inform outbreak response - read more on their Github! github.com/WorldHealthOrg…

Inviting applications from talented programmers to join the TB modelling group, Centre for the Math Modelling of Infectious Diseases London School of Hygiene & Tropical Medicine Join as Assist Prof or Senior Research Engineer See bit.ly/3BQUMPl or bit.ly/425NHp5 TB MAC CMMID LSHTM TB Modelling Group

📢 Attention epidemiologists, modelers, and decision makers! 🌍🔬 Your expertise is needed! 📚 Participate in our survey on epidemiological parameters and help us build a comprehensive database. 📊 Share your insights, shape public…lnkd.in/eqJvkP8D lnkd.in/esJ76-wi

If you use – or have used – epidemiological parameters (e.g. reproduction number, incubation period, onset-to-outcome, fatality risk) contribute your suggestions below – and help shape a big community effort to build a reliable open database of these parameters!

📢New on the blog! Communicating development stages of open-source software from Josh Lambert Check it out here👇 epiverse-trace.github.io/posts/comm-sof…

Great to be at BSC-CNS for our workshop on integration of climate data into epidemic analysis with HARMONIZE Rachel Lowe and Epiverse TRACE colleagues.

Sharing ideas and fun times with the BSC-CNS Global Health Resilience group, Wellcome #HARMONIZE_tools project and London School of Hygiene & Tropical Medicine CMMID Epiverse TRACE team in Barcelona 😊🤩

First release of the {superspreading} R package 📦 from Epiverse TRACE 🚀. {superspreading} contains functions to understand individual-level transmission dynamics of infectious diseases. epiverse-trace.github.io/superspreading/ #RStats #epitwitter

At the WHO Pandemic Hub in Berlin this week, co-organising workshop on software tools for outbreak analytics. Nice opportunity to reflect on all the great progress the Epiverse TRACE team have made so far, from new open source tools (below) to a host of collaborative projects…

Exciting times at the #WHOpandemicHub! Great collab with Epiverse TRACE❤️as experts came together to co-create innovative analytical tools at our joint #OutbreakAnalytics Hackathon 💻! 🌍 Join our GitHub repo tinyurl.com/4c9uw6pc to learn more about what we've worked on.

NEW Epiverse TRACE impact story showcases how a collaboration with World Health Organization (WHO)'s Go.Data makes outbreak #data analysis faster and easier. Read more: data.org/initiatives/ep… #Epiverse #DataDrivesImpact

At an Epiverse TRACE workshop with BSC-CNS Rachel Lowe earlier this year, Carmen Tamayo gave a great overview of some of the challenges and efficiencies involved in even 'simple' analytical tasks like estimating a fatality risk. See the slides here: epiverse-trace.github.io/slides/harmoni…

Interested in easier workflows for infectious disease data and parameters? At Epiverse TRACE BSC-CNS workshop, Josh Lambert gave nice overview of considerations for interoperability in data structures. More on the {epiparameter} toolkit here: epiverse-trace.github.io/epiparameter/

Great to see our collaborative workshop between Epiverse TRACE and World Health Organization (WHO) Berlin Hub highlighted in WHO's Operational Update on Health Emergencies: who.int/publications/m…

Termina #Epimodelac2023 con más de 80 participantes, conferencistas nacionales e internacionales, monitores y equipo organizador. Instituto Nacional de Salud🇨🇴 DataDotOrg London School of Hygiene & Tropical Medicine Medicina Javeriana Uniandes Pontificia Universidad Javeriana Imperial College London London School of Hygiene & Tropical Medicine Institut Pasteur, since 1887 MRC Unit The Gambia at LSHTM Secretaría Distrital de Salud

We’ve just released the first version of the {simulist} R package 📦 from Epiverse TRACE 🚀. Check it out if you’re looking to simulate line lists, contact data or both. More functionality coming soon. epiverse-trace.github.io/simulist/ #RStats #epitwitter

🚨The R package `simulist`, to simulate individual-level outbreak and contact-tracing data, is now available to users. Whether you want to test your methods or models, or generate realistic teaching materials, check it out on the Epiverse website 👇epiverse-trace.github.io/simulist/

Interesting and productive meeting on extracting and applying epidemiological parameters last week with Epiverse TRACE and MRC Centre for Global Infectious Disease Analysis, joined by colleagues from WHO Pandemic Hub...

Great team away day!