The work is transparent, motivates ongoing refinements, and identifies areas for improved measurements. After validation, such a model can be used to identify effective investments to enhance community resilience. (Disaster Med Public Health Preparedness. 2018;12:127-137).
Measurement is a community endeavor that can enhance the ability to anticipate, withstand, and recover from a disaster, as well as foster learning and adaptation. This project’s purpose was to develop a self-assessment toolkit—manifesting a bottom-up, participatory approach—that enables people to envision community resilience as a concrete, desirable, and obtainable goal; organize a cross-sector effort to evaluate and enhance factors that influence resilience; and spur adoption of interventions that, in a disaster, would lessen impacts, preserve community functioning, and prompt a more rapid recovery. In 2016–2018, we engaged in a process of literature review, instrument development, stakeholder engagement, and local field-testing, to produce a self-assessment toolkit (or “rubric”) built on the Composite of Post-Event Well-being (COPEWELL) model that predicts post-disaster community functioning and resilience. Co-developing the rubric with community-based users, we generated self-assessment instruments and process guides that localities can more readily absorb and adapt. Applied in three field tests, the Social Capital and Cohesion materials equip users to assess this domain at different geo-scales. Chronicling the rubric’s implementation, this account sheds further light on tensions between community resilience assessment research and practice, and potential reasons why few of the many current measurement systems have been applied.
Effective and timely exchange of information among healthcare, state and local public health, and other health emergency response partners is essential to all-hazards emergency preparedness and response. Since fall of 2001, NY State Department of Health has partnered with the healthcare and public health community in New York to implement a statewide Health Emergency Response Data System to meet this need. During this time, it has been used in a wide range of preparedness and response applications including regional and local exercises, surveillance, health facility asset tracking, and response to actual health events. The architecture, design, and implementation model used in the system readily support all-hazards preparedness and response at state, regional, and local levels. It has become one of the most important assets to health emergency response in New York State.
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