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Abstract

An ever-expanding array of disasters and emergent public health threats has raised operationally-relevant research questions about the willingness of public health and other healthcare workers to fulfil organisational expectations in disaster response and recovery. Daniel and colleagues have examined organisational perspectives surrounding perceptual and attitudinal barriers and facilitators among these cohorts. Their findings have yielded novel, behavioural model-based curricular interventions to address ‘willingness gaps’ in public health and other stakeholder organizations.

This presentation will focus on findings from mixed-methods research regarding workers' commitment to, and sense of efficacy in the context of, their organisations in the face of disasters and emergent threats to public health and safety. It will include data on health department workers' perceptions toward disaster recovery in a variety of Hurricane Sandy-impacted U.S. jurisdictions from Maryland and New Jersey. Daniel will also address broader population health implications of these and related findings for current and future disaster preparedness, response and recovery efforts.

Forthcoming events

Infectious Disease Seminar Series: Evidence on the effectiveness of non-pharmaceutical interventions

Monday, 12 June 2023, 1pm to 2pm @ BDI/OxPop Building Seminar Room LG 0-1, Old Road Campus, Headington, OX3 7LF

Alcohol phenotypes and how they are related to fMRI derived brain health measurements

Tuesday, 13 June 2023, 11am to 12pm @ Big Data Institute LG 0 Seminar room

Folic acid fortification and disease prevention

Tuesday, 13 June 2023, 1pm to 2pm @ Richard Doll Lecture Theatre, Richard Doll Building, Old Road Campus, OX3 7LF

Infectious Disease Seminar Series: 40 years of combating meningococcal disease: are we nearly there yet?

Monday, 19 June 2023, 1pm to 2pm @ BDI Seminar Room LG 0-1, Old Road Campus, Headington, OX3 7LF

Environmental sensing and it’s association with chronic disease

Tuesday, 11 July 2023, 11am to 12pm @ Big Data Institute LG 0 Seminar room