The Tuberculosis Hackathon begins with a question: can we make useful predictive models for sub-national tuberculosis (TB) burden in Pakistan?
In partnership with Pakistan’s National Tuberculosis Control Program (NTP), KIT’s Centre for Spatial Epidemiology (CASE) is hosting a virtual hackathon to develop novel approaches to predict TB burden. The hackathon is open for registration throughout April 2019.
TB prevalence surveys are usually powered to provide national prevalence estimates. Yet, these surveys also contain a wealth of sub-national information that could benefit decision makers and populations. This hackathon brings together research groups interested in TB modelling to collaborate on a joint modelling exercise to estimate sub-national TB burden in Pakistan in 2018.
The hackathon will take place between 15 May and 15 August 15 2019.
The hackathon: how it works
- Pakistan’s NTP has kindly agreed to provide their 2010-2011 TB prevalence survey data and other TB data for this hackathon.
- Each group (or individual) will be given three months and the same set of data to develop their own models to estimate sub-national TB burden.
- Participants are invited to use these data, and any other publicly available data for their modelling approach to succeed
Models developed as part of this hackathon will be appraised and compared by an evaluation panel comprised of global TB and statistical experts including representatives from Pakistan’s NTP and the World Health Organisation. They will do so on the basis of standard evaluation criteria that reflect the precision, consistency (internal and external) and credibility of the model. The hackathon will provide participants with transparency into their performance according to these criteria.
How to participate
The hackathon is open to individual researchers as well as teams. We encourage participation from a wide range of disciplines and countries.
If you would like to participate, please send an e-mail to HackTB@kit.nl with your CV and a 200 word statement of motivation.
We ask that participants share the below items by 15 August 2019:
- 2018 national and sub-national level TB-prevalence estimates
- the programming code used to produce the estimates, and
- a maximum two-page description of the methodology.
KIT will award the winner of the hackathon at the 50th Union World Conference on Lung Health in Hyderabad. We will also invite participants to collaborate on satellite session at the Union conference co-ordinated by KIT CASE, as well as a summary publication describing the various methodological approaches and performance. The publication will also reflect on the models’ strengths and limitations.