Evidence map›Paper›PMID 38820440›Full record

ArticlePloS one2024

Influence of an extreme event-the COVID-19 pandemic-On establishment of and data collection by a citizen science project.

Elizabeth Y Zhang, Annika Baldwin, Calista Hundley, Eugena Chang, Susannah Auderset, Mia Bawendi, Thea V Kristensen

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Elizabeth Y ZhangDepartment of Biology, Amherst College, Amherst, MA, United States of America.
Annika BaldwinDepartment of Biology, Amherst College, Amherst, MA, United States of America.
Calista HundleyDepartment of Biology, Amherst College, Amherst, MA, United States of America.
Eugena ChangDepartment of Biology, Amherst College, Amherst, MA, United States of America.
Susannah AudersetDepartment of Biology, Amherst College, Amherst, MA, United States of America.
Mia BawendiDepartment of Biology, Amherst College, Amherst, MA, United States of America.
Thea V KristensenDepartment of Biology, Amherst College, Amherst, MA, United States of America.ORCID 0000-0002-1697-8703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent rising incidence of extreme natural events may significantly influence the implementation of citizen science projects, including the success of outreach strategies and the quality and scope of data collection. The MassMammals Watch and subsidiary MassBears citizen science projects, initiated during the height of the pandemic, recruit volunteers to submit sightings of black bears and other mammals. In this study, we evaluated the methods we employed for engaging and retaining community volunteers during a period of intense social restrictions, and we assessed whether such conditions were associated with spatial biases in our collected data. Newspaper features were more likely to recruit volunteers who engaged with the project multiple times, but social media and internet presence were important for reaching a larger audience. Bear sighting submissions peaked in number and were more likely to be in forested areas during 2020, the height of the pandemic, compared to later years, a pattern which we suggest stems from an increased desire to participate in outdoor activities in light of social distancing measures during that year. Such shifts in patterns of data collection are likely to continue, particularly in response to increasing extreme weather events associated with climate change. Here, we both make recommendations on optimal outreach strategies for others initiating citizen science programs and illustrate the importance of assessing potential biases in data collection imposed by extreme circumstances.

Indexed as

Citizen ScienceCOVID-19Data CollectionPandemicsAnimalsHumansSARS-CoV-2Social MediaVolunteers

Identifiers

PMID38820440
PMCPMC11142546

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.