The changing contributory role to infections of work, public transport, shopping, hospitality and leisure activities throughout the SARS-CoV-2 pandemic in England and Wales.

Background: Understanding how non-household activities contributed to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections under different levels of national health restrictions is vital.

Methods: Among adult Virus Watch participants in England and Wales, we used multivariable logistic regressions and adjusted-weighted population attributable fractions (aPAF) assessing the contribution of work, public transport, shopping, and hospitality and leisure activities to infections.

Results: Under restrictions, among 17,256 participants (502 infections), work [adjusted odds ratio (aOR) 2.

Climate change and public health: An evaluation framework for local government.

Objectives: To develop and pilot an evaluation framework for assessing the engagement of local government public health teams in England on climate change and sustainability. These teams are uniquely positioned to address local health impacts of climate change and promote health co-benefits of mitigation. No statutory framework currently exists to support their engagement in this agenda.

Nasal obstruction symptom evaluation score outcomes in patients awaiting septoplasty at a tertiary ENT centre.

Objective: Nasal septoplasty is one of the most performed procedures within ENT. Nasal obstruction secondary to a deviated nasal septum is the primary indication for functional septoplasty. Since the coronavirus disease 2019 pandemic, waiting lists have increased and are now long.

The incidence of COVID-19-related hospitalisation in migrants in the UK: Findings from the Virus Watch prospective community cohort study.

Background: Migrants in the United Kingdom (UK) may be at higher risk of SARS-CoV-2 exposure; however, little is known about their risk of COVID-19-related hospitalisation during waves 1-3 of the pandemic.

Methods: We analysed secondary care data linked to Virus Watch study data for adults and estimated COVID-19-related hospitalisation incidence rates by migration status. To estimate the total effect of migration status on COVID-19 hospitalisation rates, we ran mixed-effect Poisson regression for wave 1 (01/03/2020-31/08/2020; wildtype), and mixed-effect negative binomial regressions for waves 2 (01/09/2020-31/05/2021; Alpha) and 3 (01/06/2020-31/11/2021; Delta).