TB Hackathon: Development and Comparison of Five Models to Predict Subnational Tuberculosis Prevalence in Pakistan

Alba, Sandra, Rood, Ente, Mecatti, Fulvia, Ross, Jennifer M., Dodd, Peter J., Chang, Stewart, Potgieter, Matthys, Bertarelli, Gaia, Henry, Nathaniel J., LeGrand, Kate E., Trouleau, William, Shaweno, Debebe, MacPherson, Peter ORCID: https://orcid.org/0000-0002-0329-9613, Qin, Zhi Zhen, Mergenthaler, Christina, Giardina, Federica, Augustijn, Ellen-Wien, Baloch, Aurangzaib Quadir and Latif, Abdullah (2022) 'TB Hackathon: Development and Comparison of Five Models to Predict Subnational Tuberculosis Prevalence in Pakistan'. Tropical Medicine and Infectious Disease, Vol 7, Issue 1, p. 13.

Preview

Text tropicalmed-07-00013-v2.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract

Pakistan’s national tuberculosis control programme (NTP) is among the many programmes worldwide that value the importance of subnational tuberculosis (TB) burden estimates to support disease control efforts, but do not have reliable estimates. A hackathon was thus organised to solicit the development and comparison of several models for small area estimation of TB. The TB hackathon was launched in April 2019. Participating teams were requested to produce district-level estimates
of bacteriologically positive TB prevalence among adults (over 15 years of age) for 2018. The NTP provided case-based data from their 2010–2011 TB prevalence survey, along with data relating to TB screening, testing and treatment for the period between 2010–2011 and 2018. Five teams submitted district-level TB prevalence estimates, methodological details and programming code. Although the
geographical distribution of TB prevalence varied considerably across models, we identified several districts with consistently low notification-to-prevalence ratios. The hackathon highlighted the
challenges of generating granular spatiotemporal TB prevalence forecasts based on a cross-sectional prevalence survey data and other data sources. Nevertheless, it provided a range of approaches to
subnational disease modelling. The NTP’s use and plans for these outputs shows that, limitations notwithstanding, they can be valuable for programme planning.

Item Type:	Article
Additional Information:	This article belongs to the Special Issue New Tools and Approaches to End TB
Subjects:	WF Respiratory System > Tuberculosis > WF 200 Tuberculosis (General) WF Respiratory System > Tuberculosis > WF 205 Epidemiology
Faculty: Department:	Clinical Sciences & International Health > Clinical Sciences Department
Digital Object Identifer (DOI):	https://doi.org/10.3390/tropicalmed7010013
Depositing User:	Julie Franco
Date Deposited:	24 Jan 2022 12:44
Last Modified:	27 Jan 2022 09:57
URI:	https://archive.lstmed.ac.uk/id/eprint/19839

Statistics

View details

Actions (login required)

Edit Item