Transmission modeling to infer tuberculosis incidence prevalence and mortality in settings with generalized HIV epidemics.

Tuberculosis (TB) killed more people globally than any other single pathogen over the past decade. Where surveillance is weak, estimating TB burden estimates uses modeling. In many African countries, increases in HIV prevalence and antiretroviral therapy have driven dynamic TB epidemics, complicating estimation of burden, trends, and potential intervention impact.

Xpert Ultra stool testing to diagnose tuberculosis in children in Ethiopia and Indonesia: a model-based cost-effectiveness analysis.

Objectives: The WHO currently recommends stool testing using GeneXpert MTB/Rif (Xpert) for the diagnosis of paediatric tuberculosis (TB). The simple one-step (SOS) stool method enables processing for Xpert testing at the primary healthcare (PHC) level. We modelled the impact and cost-effectiveness of implementing the SOS stool method at PHC for the diagnosis of paediatric TB in Ethiopia and Indonesia, compared with the standard of care.

Barriers to Maternal and Child Health Care Service Uptake in Assosa Zone, Benishangul Gumuz Region, Ethiopia: A Qualitative Study.

Background: Ethiopia has reduced maternal mortality from 871 to 412 per 100,000 live births between 2000 and 2016. In 2019, under-5 mortality rates in Ethiopia were 55 deaths per 1,000 live births. Benishangul Gumuz was the second-largest region in the under-5 mortality rate (98/1,000 live births) in the country.

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

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.

The effect of systematic screening of the general population on TB case notification rates.

Understanding how TB case notification rates (TB-CNR) change with TB screening and their association with underlying TB incidence/prevalence could inform how they are best used to monitor screening impact. We undertook a systematic review to identify articles published between 1 January 1980 and 13 April 2020 on TB-CNR trends associated with TB screening in the general-population. Using a simple compartmental TB transmission model, we modelled TB-CNRs, incidence and prevalence dynamics during 5 years of screening.