Barriers to and impacts of hepatitis C treatment among people who inject drugs in Kenya: A qualitative study.

Hepatitis C (HCV) disproportionately affects people who inject drugs (PWID). Despite availability of safe and effective treatment, HCV treatment access and uptake among PWID in low- and middle-income countries (LMICs) has been limited. Understanding the lived experiences of PWID in these settings who have undergone treatment provides the opportunity to gain insight into how to implement treatment programs that meet the needs of this population.

Continental influx and pervasive matrilocality in Iron Age Britain.

Roman writers found the relative empowerment of Celtic women remarkable. In southern Britain, the Late Iron Age Durotriges tribe often buried women with substantial grave goods. Here we analyse 57 ancient genomes from Durotrigian burial sites and find an extended kin group centred around a single maternal lineage, with unrelated (presumably inward migrating) burials being predominantly male.

Combining models to generate consensus medium-term projections of hospital admissions, occupancy and deaths relating to COVID-19 in England.

Mathematical modelling has played an important role in offering informed advice during the COVID-19 pandemic. In England, a cross government and academia collaboration generated medium-term projections (MTPs) of possible epidemic trajectories over the future 4-6 weeks from a collection of epidemiological models. In this article, we outline this collaborative modelling approach and evaluate the accuracy of the combined and individual model projections against the data over the period November 2021-December 2022 when various Omicron subvariants were spreading across England.

Drivers of epidemic dynamics in real time from daily digital COVID-19 measurements.

Understanding the drivers of respiratory pathogen spread is challenging, particularly in a timely manner during an ongoing epidemic. In this work, we present insights that we obtained using daily data from the National Health Service COVID-19 app for England and Wales and that we shared with health authorities in almost real time. Our indicator of the reproduction number () was available days earlier than other estimates, with an innovative capability to decompose () into contact rates and probabilities of infection.