Prediction accuracy of discrete choice experiments in health-related research: a systematic review and meta-analysis.

Background: Discrete choice experiments (DCEs) are increasingly used to inform the design of health products and services. It is essential to understand the extent to which DCEs provide reliable predictions outside of experimental settings in real-world decision-making situations. We aimed to compare the prediction accuracy of stated preferences with real-world choices, as modelled from DCE data.

Impact and cost-effectiveness of scaling up HCV testing and treatment strategies for achieving HCV elimination among people who inject drugs in England: a mathematical modelling study.

Background: England aims to reach the World Health Organization (WHO) elimination target of decreasing HCV incidence among people who inject drugs (PWID) to <2 per 100 person-years (/100pyrs) by 2030. We assessed what testing and treatment strategies will achieve this target and whether they are cost-effective.

Methods: A dynamic deterministic HCV transmission model among PWID was developed for four England regions, utilising data on the scale-up of HCV treatment among PWID in prisons, drug treatment centres (DTC, where opioid agonist therapy is provided), and any other setting (e.

East London Project: a participatory mixed-method evaluation on how removing enforcement could affect sex workers' safety, health and access to services in East London.

Background: Sex workers' risk of violence and ill-health is shaped by their work environments, community and structural factors, including criminalisation.

Aim: We evaluated the impact of removing police enforcement on sex workers' safety, health and access to services.

Design: Mixed-methods participatory study comprising qualitative research, a prospective cohort study, mathematical modelling and routine data collation.

Modelling COVID-19 transmission dynamics in Laos under non-pharmaceutical interventions, vaccination, and replacement of SARS-CoV-2 variants.

Background: Understanding how the COVID-19 pandemic evolved under control measures is crucial to tackle the SARS-CoV-2 virus spread. Laos, a country bordering China but with late occurrence and low burden of COVID-19 compared to its neighbouring countries, was used for a case study.

Methods: A transmission model with disease reporting was proposed to investigate the impact of control measures on the SARS-CoV-2 virus spread in Laos from April 2021 to May 2022.