Evidence map›Paper›PMID 38435099›Full record

ArticleMarine policy2024

Differences in Perceptions of COVID-19 Risks in a Fishing Community in Alaska, 2020-2021.

M Luke Smith, Guangqing Chi, Hannah Hennighausen, Davin Holen, E Lance Howe

Abstract read
In one paragraph

Article in Marine policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

M Luke SmithSocial Science Research Institute, The Pennsylvania State University, University Park, PA 16802, USA.
Guangqing ChiSocial Science Research Institute, The Pennsylvania State University, University Park, PA 16802, USA.
Hannah HennighausenDepartment of Economics, University of Alaska Anchorage, Anchorage, AK 99508, USA.
Davin HolenAlaska Sea Grant and Alaska Center for Climate Assessment and Policy, International Arctic Research Center, University of Alaska Fairbanks, USA.
E Lance HoweDepartment of Economics, University of Alaska Anchorage, Anchorage, AK 99508, USA.

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Sarah Damaske · 2016 to 2026
$9.0M
NICHD NIH HHS P2C HD041025
6 · The paper itself

Abstract

Bristol Bay in Alaska is home to the world's largest commercial salmon fishery. During an average fishing season, the population of the Bristol Bay region more than doubles as thousands of workers from out of state converge on the fishery. In the months leading up to the 2020 commercial fishery opening, as the COVID-19 pandemic exploded worldwide, great uncertainty existed about the health risks of opening the fishery. Bristol Bay residents had not yet experienced any cases of COVID-19, yet the livelihoods of most were closely tied to the commercial fishery opening. To better understand how COVID-19 risk perceptions affected decisions to participate in the fishery, we administered an online survey to community members and fishery participants. We collected standard socioeconomic data and posed questions to gauge risk perceptions related to COVID-19. We find that COVID-19 risk perceptions vary across race/ethnic groups by residency and income. People with below median income who are members of minority groups-notably, non-resident Hispanic workers and resident Alaska Native respondents-reported the highest risk perceptions related to COVID-19. This study highlights the important linkages among risk perceptions, socioeconomic characteristics, and employment decisions during an infectious disease outbreak.

Identifiers

PMID38435099
PMCPMC10906804

What OpenQuestion holds

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Registered trials

None linked

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.