ArticleSocial science & medicine (1982)2022
Modeling epidemic recovery: An expert elicitation on issues and approaches.
Article in Social science & medicine (1982), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities-A Case Study of Nanjing, China.International journal of environmental research and public health · 2022Pooled it
- Research Progress and Improvement Ideas of Anti-Epidemic Resilience in China's Urban Communities.International journal of environmental research and public health · 2022Review
- Research Into Mental Health Prediction of Community Workers Involved in the Prevention of COVID-19 Epidemic Based on Cloud Model.Frontiers in public health · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the emergence of the SARS-CoV-2 virus in late 2019, the world has been in a state of high alert and reactivity. Once the acute stage of the infectious disease crisis does abate, however, few if any communities will have a detailed roadmap to guide recovery - that is, the process of becoming whole again and working to reduce similar, future risk. In both research and policy contexts where data are absent or difficult to obtain, expert judgment can help fill the void. Between November 2019 and February 2020, we conducted an expert elicitation process, asking fourteen key informants - with specializations in infectious diseases, disaster recovery, community resilience, public health, emergency management, and policymaking - to identify the design principles, priority issues, and field experiences that should inform development of an epidemic recovery model. Participants argued that recovery from epidemics is distinct from natural disasters due to epidemics' potential to produce effects over large areas for extended periods of time and ability to generate high levels of fear, anticipatory anxiety, and antisocial behavior. Furthermore, epidemic recovery is a complex, nonlinear process involving many domains - political, economic, sociocultural, infrastructural, and human health. As such, an adequate model of post-epidemic recovery should extend beyond strictly medical matters, specify units of interest (e.g., individual, family, institution, sector, community), capture differing trajectories of recovery given social determinants of health, and be fit for use depending upon user group (e.g., policymakers, responders, researchers). This formative study commences a longer-term effort to generate indicators for a holistic, transformative epidemic recovery at the community level.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.