Publications by authors named "T Reza"

Background: Rapid diagnosis of tuberculosis (TB) is important for improving outcomes and reducing transmission. Previous studies assessing the impact of Xpert MTB/RIF (Xpert), a molecular assay that provides results within 2 h, on mortality have been inconclusive. In this planned analysis of a pragmatic cluster-randomized trial in Uganda, we assessed whether a multicomponent strategy, including decentralized Xpert testing, decreased mortality among adults evaluated for TB.

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The Robson Classification System is recognised as a first step for optimising the use of caesarean section and as a strategy for continuous quality improvement in maternal and newborn health. This Viewpoint provides a detailed account of the strategy adopted and lessons learned from a collaborative initiative to institutionalise the Robson Classification into Pakistan's health system. We developed a training package which emphasised capacity building of senior clinicians to act as master trainers.

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Article Synopsis
  • * The study used data from the BDHS 2017-2018 and various machine learning algorithms (including Logistic Regression, Decision Tree, and Random Forest) alongside the Boruta feature selection method to identify the key predictors of LBW.
  • * Key features identified include maternal age, education level, and birth order; results showed that Random Forest emerged as the top predictive model with an accuracy of approximately 81.18%, while traditional Logistic Regression had an accuracy of 85.15%.
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Dechlorination of waste PVC (WPVC) by hydrothermal treatment (HTT) is a potential technology for upcycling WPVC in order to create non-toxic products. Literature suggests that acids can improve the HTT process, however, acid is expensive and also results in wastewater. Instead, the acidic process fluid (PF) of hydrothermal carbonization (HTC) of orange peel was utilized in this study to enhance the dechlorination of WPVC during HTT.

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Introduction: Pakistan has significantly strengthened its capacity for active case finding (ACF) for tuberculosis (TB) that is being implemented at scale in the country. However, yields of ACF have been lower than expected, raising concerns on its effectiveness in the programmatic setting. Distribution of TB in communities is likely to be spatially heterogeneous and targeting of ACF in areas with higher TB prevalence may help improve yields.

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