Using information which already exists to illustrate inequity in approaches to global emergency care. The roundtable will discuss an ongoing project which uses the GEMLR (https://www.gemlr.org/) data from several years to identify authors in from an emergency care background as a proxy measure of global health research engagement. This project maps not only the country of origin of authors, but other aspects such as the countries of research interest and the link between countries and the funding their research receives. We discuss how this connects to a broader agenda of decolonising the approach to global health. We also discuss how data visualisation can be very powerful as a tool to take this project’s information and deliver it to an audience both passively and interactively. This project is only one of many, many others which could use a similar approach of taking readily available information and bringing it to life in a way which can then influence the wider global health direction.
Anisa Jafar is an NIHR Academic Clinical Lecturer (based at the HCRI, University of Manchester) and a final year registrar in Emergency Medicine. She graduated from the University of Manchester in 2008 with MBChB(e) with European Studies having spent some of her undergraduate training in Paris. She completed her DTM&H (Liverpool School of Tropical Medicine) and MPH followed by a PhD in the subject of medical documentation in sudden onset disasters (University of Manchester). She is a part of the WHO working group for the Emergency Medical Team Minimum Data-set and one of the founders and developers of the Global Emergency Care Collaborative (www.geccouk.com)
Gabrielle Prager is an Emergency Medicine Registrar and NIHR Academic Clinical Fellow at the University of Manchester. A graduate of Imperial College School of Medicine (MBBS, BSc) and the Harvard Chan School of Public Health where she completed her MPH in Global Health. While at Harvard she looked at aid delivery in de-escalation zones in Syria and Emergency Care development in Uganda and Tanzania. She was an institute of Global Health Innovation Challenge winner for her work on novel diagnostics (LAMP) for schistosomiasis. Her current projects include looking at the experiences of clinicians providing primary care in asylum seeker accommodation in the UK as well as using GEMLR as a proxy to examine Emergency Medicine Global Health engagement.
Jack Ingham graduated as a medical doctor from the University of Manchester in 2017 and is currently an Acute Care Common Stem Anaesthetics trainee in Bristol (UK). He has a growing an interest in using data science to address common issues in the messy real-world databases commonly encountered in clinical medicine.
5 November 2021
09.00 – 10.30 CET