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RAPID: Collaborative Research: COVID-19 Preparedness in Remote Fishing Communities in Rural Alaska

RAPID: Collaborative Research: COVID-19 Preparedness in Remote Fishing Communities in Rural Alaska
RAPID:合作研究:阿拉斯加农村偏远渔业社区的 COVID-19 准备情况
批准号:
2032790
负责人:
Guangqing Chi
金额:
$4.43万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-06-15 至 2022-05-31

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中文摘要
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英文摘要
This time-sensitive RAPID project focuses on perception of COVID-19 risk in the Bristol Bay region of rural western Alaska. Every spring, the town of Dillingham, the hub of Bristol Bay fisheries, experiences massive in-migration, as an estimated 13,000 workers arrive for the sockeye salmon fishing season. Local health care resources and access to transportation are extremely limited. Leveraging existing partnerships, project investigators will conduct surveys with local residents, decision makers, fishermen and processors to characterize risk perception, evaluate social distancing compliance, and assess perceived costs and benefits of various pandemic mitigation plans. These data will inform epidemiological modeling of possible scenarios in the region and help stakeholders understand the dynamics of COVID-19 in a transient population working in the close quarters of fishing vessels and the crowded conditions of fish processing plants. This project will contribute to the emerging body of research on the perception and effects of COVID-19 across the country, and more specifically, to understanding pandemic impacts on a key Alaska industry.Standard ethnographic methods, including qualitative key informant interviews, two online surveys, and collection of cell phone mobility data, will be employed to characterize risk perception and response and evaluate compliance with social distancing guidelines. Surveys will be designed collaboratively, and will leverage existing networks developed as part of an ongoing Navigating the New Arctic project (ICER 1927827). Surveys will be conducted at the beginning of the 2020 fishing season and again in February/March 2021. Analysis will evaluate risk perception and response by occupation, socioeconomic status, age, and sex. Epidemiological modeling will be employed to predict disease dynamics (i.e., likelihood of infection and mortality) under different scenarios; these estimates will be used to project demand for limited health care resources in the region, such as ventilators.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
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科研奖励(0)
会议论文
Spatial proximity to wildfires as a proxy for measuring PM2.5: A novel method for estimating exposures in rural settings
与野火的空间接近度作为测量 PM2.5 的代理:一种估算农村环境暴露量的新方法
DOI: 10.1016/j.joclim.2023.100219
发表时间: 2023
期刊: The Journal of Climate Change and Health
影响因子: --
作者: [Smith, M. Luke, Chi, Guangqing]
通讯作者: Chi, Guangqing
Fishing in the time of COVID: Assessing risk in the Bristol Bay commercial salmon fishery and the societal benefits of social science research
新冠疫情期间的捕鱼:评估布里斯托尔湾商业鲑鱼渔业的风险以及社会科学研究的社会效益
DOI: --
发表时间: 2023
期刊: Arctic yearbook
影响因子: --
作者: [Holen, Davin, Howe, E. Lance, Chi, Guangqing]
通讯作者: Chi, Guangqing
NNA Research: Collaborative Research: Arctic, Climate, and Earthquakes (ACE): Seismic Resilience and Adaptation of Arctic Infrastructure and Social Systems amid Changing Climate
RAPID: Using Mobile Phone Data to Understand the Impacts of the COVID-19 Pandemic on Food Assistance Use in Alaska
EAGER: SAI: Collaborative Research: Community-Driven Innovation for Resilient Bridges in Remote Communities
NNA Track 1: Pursuing Opportunities for Long-term Arctic Resilience for Infrastructure and Society (POLARIS)
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