Federated difference-in-differences with multiple time periods in DataSHIELD.

Difference-in-differences (DID) is a key tool for causal impact evaluation but faces challenges when applied to sensitive data restricted by privacy regulations. Obtaining consent can shrink sample sizes and reduce statistical power, limiting the analysis's effectiveness. Federated learning addresses these issues by sharing aggregated statistics rather than individual data, though advanced federated DID software is limited.

Delivering an innovative multi-infection and female genital mutilation screening to high-risk migrant populations (ISMiHealth): study protocol of a cluster randomised controlled trial with embedded process evaluation.

Introduction: ISMiHealth is a clinical decision support system, integrated as a software tool in the electronic health record system of primary care, that aims to improve the screening performance on infectious diseases and female genital mutilation (FGM) in migrants. The aim of this study is to assess the health impact of the tool and to perform a process evaluation of its feasibility and acceptability when implemented in primary care in Catalonia (Spain).

Methods And Analysis: This study is a cluster randomised control trial where 35 primary care centres in Catalonia, Spain will be allocated into one of the two groups: intervention and control.

The private market for antimicrobials: an exploration of two selected mining and frontier areas of Guyana.

Objective: To identify challenges that may raise pathogens' resistance to antimicrobial drugs by exploring the private market for antimicrobials in two selected mining and frontier areas of Guyana.

Methods: The private sector supply was mapped by approaching all authorized pharmacies and informal outlets, e.g.

The contribution of risk perception and social norms to reported preventive behaviour against selected vector-borne diseases in Guyana.

Preventing vector-borne diseases (VBDs) mainly relies on effective vector control tools and strategies, which in turn depend on population acceptance and adherence. Inspired by the abundant recent literature on SARS-COV-2, we investigate the relationship between risk perception and preventive behaviour for selected VBDs and the extent to which risk perception is determined by social norms. We use cross-sectional data collected from 497 individuals in four regions of Guyana in 2017.