Predictors of poor treatment outcomes among drug-resistant tuberculosis patients in Hunan province, China.

Background: Drug-resistant tuberculosis (DR-TB) is a significant public health concern, often resulting in poor treatment outcomes. This study aims to identify predictors of poor treatment outcomes among patients with DR-TB in Hunan Province, China.

Methods: A retrospective cohort study was conducted in Hunan Province using data collected between 2013 and 2018 among patients with DR-TB treatment.

A study protocol for a multi-country cluster randomized controlled trial of the impact of a multi-component One Health strategy to eliminate Opisthorchis viverrini and soil transmitted helminths in the Lower Mekong Basin.

Background: Opisthorchis viverrini (OV) and soil-transmitted helminths (STH) are two of the most common helminths contributing to the Neglected Tropical Disease (NTDs) burden in the Lower Mekong Basin. Although mass drug administration is the cornerstone of control programs to reduce morbidity caused by these infections, this approach has limitations in preventing re-infections. Elimination requires additional measures such as reservoir host treatment, improved hygiene and health education to reinforce MDA's impact.

An alcohol-related liver disease multi-stakeholder hub (ARMS-Hub) to enhance research activity in underserved communities in the UK.

Background: Alcohol use is the third leading risk factor of death and disability in the UK and costs the NHS £3.5 billion per year. Despite the high prevalence and healthcare burden of Alcohol-related Liver Disease (ArLD), there has been minimal research addressing prevention, morbidity and mortality.

Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data.

Air sensors can provide valuable non-regulatory and supplemental data as they can be affordably deployed in large numbers and stationed in remote areas far away from regulatory air monitoring stations. Air sensors have inherent limitations that are critical to understand before collecting and interpreting the data. Many of these limitations are mechanistic in nature, which will require technological advances.