Wellcome Open Research

FluSurvey is a participatory surveillance system used to monitor trends in influenza and other respiratory viruses through weekly symptom surveys among the UK population. We aimed to characterise the wider impact of "influenza-like illnesses" (ILI) among FluSurvey participants and assess correlations of ILI with other established influenza surveillance systems. We included data reported by FluSurvey participants over the 2023-24 and 2024-25 winter seasons. Using weekly symptoms surveys, we deri...

ObjectivesDiagnosis of community-acquired Legionnaires disease (CALD) relies on microbiological testing. Routine testing in hospitalised CAP patients has low positivity rates. We externally validated a Legionella prediction score, assessed its applicability in routine care, and explored potential updates. MethodsWe analysed data from 196 CALD patients from 20 Swiss hospitals and 196 Legionella-negative CAP controls matched by date of diagnosis ({+/-}14 days; August 2022-March 2024). We assessed...

BackgroundRecurrent sore throat affects a small minority of adults but can cause substantial morbidity. Evidence to guide tonsillectomy eligibility in adults is limited, and current criteria are extrapolated from paediatric populations. We aimed to describe the epidemiology, management, and prognosis of adult sore throat in UK primary care. MethodsUsing CPRD Aurum (2010-2020 adults with a first coded episode of sore throat or tonsillitis were identified and matched to controls. Episode frequenc...

ImportanceRecent reports have highlighted an intense influenza activity related to the circulation of the influenza A(H3N2) subclade k variant. There is no data available on the impact of the emergence of H3N2 subclade k on the severity of the 2025-2026 epidemic or on the clinical phenotype of patients requiring admission to the intensive care unit (ICU). ObjectiveTo compare the clinical presentation, hospital mortality and virological characteristics of patients with laboratory-confirmed influ...

BackgroundThe United Nations General Assembly High-level Meeting on Antimicrobial Resistance (UNGA HLM-AMR) committed to a target that 70% of global human antibiotic use (ABU) should be from the Access group of the WHO AWaRe system. MethodsWe used 2019 IQVIA MIDAS(R) global ABU Quarterly value sales, volumes (kg/SU) and average ex-manufacturer prices to evaluate price per daily defined dose (DDD) by AWaRe group across countries. IQVIA MIDAS volumes/value data reflect public, private, or mixed s...

BackgroundClimate change is increasingly recognised as a threat to population health and healthcare systems, yet the effects of environmental variability on pharmaceutical prescribing remain poorly characterised in the UK. Using a wide array of open-source datasets, we examine the effect of environmental, geographic and socioeconomic factors on prescribing habits in England. MethodsWe linked monthly, practice-level prescribing data for England (2010-2025) to meteorological, air-quality, floodin...

IntroductionDepression is highly prevalent among young adults worldwide. While research links health behaviours, such as dietary intake, to depression, few studies have examined these associations among young adults in low- and middle-income countries, including South Africa. This study investigated whether dietary intake was associated with an increased risk of depression in a cohort of young South African adults, aged 20-30 years, as part of the Global burden of disease Lifestyle And mental Di...

Automated outbreak detection can enhance infectious disease surveillance by enabling early identification of outbreaks and supporting timely public health measures. However, information on its current use by national public health institutes (NPHI) remains limited. This paper provides an updated and extended overview of automated outbreak detection usage in the European Union (EU) and United Kingdom (UK). Key findings were gathered through the Joint Action United4Surveillance via an online surve...

BackgroundSmoking, unhealthy nutrition, alcohol consumption, and physical inactivity (SNAP behaviours) are major risk factors for multimorbidity but are often studied in isolation. Using longitudinal data, Suhag et al. identified clusters of older adults (aged [≥]50) with common SNAP behaviour patterns and distinct sociodemographic profiles and multimorbidity prevalence; whether and how these patterns generalise across adulthood remains unclear. AimTo conceptually replicate Suhag et al. acro...

IntroductionAccess to Hepatitis C virus (HCV) testing and treatment remains low globally. HCV self-testing (HCVST) may facilitate diagnosis and cure. We analysed treatment uptake and outcomes following a positive HCVST result in three distinct African epidemic contexts. MethodsA multi-country cohort study nested within HCVST implementation programmes in Cameroon, Nigeria, and South Africa (May 2023-May 2024). Adults ([≥]18 years) with positive HCVST results were followed through confirmatory...

BackgroundRetrieval-augmented generation (RAG) frameworks such as RAPID [1] have demonstrated that staged planning and retrieval grounding improve long-form text generation. However, most implementations remain similarity-driven and open-domain, lacking the epistemic safeguards required for biomedical synthesis, where mechanistic completeness, temporal governance, traceability, and explicit gap classification are essential. ObjectiveTo develop and evaluate a topology-aware, graph-augmented retr...

BackgroundTuberculosis (TB) remains a major public health challenge in Nepal, with incidence rates substantially higher than global estimates. Accurate forecasting of TB incidence is essential for early warning systems, resource allocation, and targeted interventions. This study aimed to develop and validate a hybrid Seasonal Autoregressive Integrated Moving Average (SARIMA) and Convolutional Neural Network Auto-Regressive (CNNAR) model for TB incidence forecasting in Nepal. MethodsMonthly TB i...

BackgroundMalawi has one of the highest incidences and mortality due to cervical cancer, which is caused by the human papillomavirus (HPV). Achieving high HPV vaccination coverage is critical for advancing the World Health Organization (WHO) cervical cancer elimination strategy. This study aims to describe the spatio-temporal uptake of the first and second doses of the HPV vaccine in Malawi and to investigate the covariates associated with the uptake. MethodsWe analysed HPV vaccination coverage...

BackgroundMental well-being encompasses positive psychological functioning, life satisfaction, and engagement with daily activities. It is influenced by multiple interrelated factors, including symptoms of stress, anxiety, depression, and psychological inflexibility. Network analysis provides a data-driven framework for examining the complex interconnections between these components and for identifying elements that may play a central role in the mental well-being system. The present study aimed...

IntroductionGenomic testing is reshaping nephrology practice, yet the structure, outcomes, and implementation of kidney genetics services remain poorly characterized. MethodsWe conducted a two-part scoping study comprising (i) a literature review (JBI methodology, PRISMA-ScR compliant; OSF registration doi.org/10.17605/OSF.IO/N32VA) of English-language publications (2000-2025) describing kidney genetics services and outcomes, and (ii) an international stakeholder consultation of clinic leads to...

Programmatic decisions regarding surveillance and intervention for trachoma are made at the district level, reflecting an implicit assumption that transmission within districts is sufficiently homogeneous. However, as trachoma transmission declines, residual pockets of transmission may become spatially heterogeneous at sub-district scales. Using cluster-level data from 12 districts in Amhara, Ethiopia (2019-2023), we assess the spatial structure of Pgp3 antibody responses, a sensitive measure of...

BackgroundEpidemic forecasting research often assesses ensembles and their component models using probabilistic scoring rules. Quantifying how individual models affect ensemble performance is challenging, particularly across multiple targets and spatial scales. MethodsWe present Winter 2024-25 forecasts of Influenza and COVID-19 hospital admissions in England and conduct a retrospective simulation using the operational component models. Forecasts were scored using the per capita weighted interv...

BackgroundGP practices in Scotland are changing with the emergence of megapractices. We aimed to update analyses of GP practice sizes in Scotland, and to begin the development of a typology of GP practices. MethodsFour methods were employed: 1. Analyses of routinely published data on GP practice sizes and listed GPs to identify and quantify megapractices; 2. Qualitative interviews; 3. Creation of commercial profiles; 4. Derivation of a GP practice typology. ResultsMost Scottish practices have ...

PurposeWe introduce PRE-CISE, a pre-calibration workflow that integrates coverage analysis, local sensitivity, and collinearity diagnostics to streamline model calibration and transparently address nonidentifiability. We demonstrate the benefits of PRE-CISE using a four-state Sick-Sicker Markov testbed and a COVID-19 case study. MethodsPRE-CISE begins with a coverage analysis to verify that model outputs generated with parameter sets drawn from their prior distribution span calibration targets,...

In 2024, mpox cases surged in the Democratic Republic of the Congo (DRC) with cross-border spread to Burundi. We developed a transmission-dynamic model calibrated against surveillance data to understand drivers in enzootic (Clade Ia) and non-enzootic (Clade Ib) areas, and the potential impact of vaccination. In non-enzootic areas we estimated that 58-84% of transmission occurred within sexual networks. MVA-BN vaccination of sex workers could have averted 91% (95% CrI 81%-98%) of infections in Su...