Assessing spatiotemporal variability in SARS-CoV-2 infection risk for hospital workers using routinely-collected data.

The COVID-19 pandemic has emphasised the need to rapidly assess infection risks for healthcare workers within the hospital environment. Using data from the first year of the pandemic, we investigated whether an individual's COVID-19 test result was associated with behavioural markers derived from routinely collected hospital data two weeks prior to a test. The temporal and spatial context of behaviours were important, with the highest risks of infection during the first wave, for staff in contact with a greater number of patients and those with greater levels of activity on floors handling the majority of COVID-19 patients.

Investigating healthcare worker mobility and patient contacts within a UK hospital during the COVID-19 pandemic.

Background: Insights into behaviours relevant to the transmission of infections are extremely valuable for epidemiological investigations. Healthcare worker (HCW) mobility and patient contacts within the hospital can contribute to nosocomial outbreaks, yet data on these behaviours are often limited.

Methods: Using electronic medical records and door access logs from a London teaching hospital during the COVID-19 pandemic, we derive indicators for HCW mobility and patient contacts at an aggregate level.

Triggering change: towards a conceptualisation of major change processes in farm decision-making.

In this paper, we present a broad conceptualisation of major change in farm level trajectories. We argue that as a result of path dependency, major changes in farming practice primarily occur in response to 'trigger events', after which farm managers intensify their consideration of the options open to them, and may set a new course of action. In undertaking new actions, the farm system enters a period of instability, while new practices become established.