The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Impacts of the COVID-19 pandemic on rural America
Open accessAbstract
Significance: Rural people have been left out of the vast majority of research on the impacts of the COVID-19 pandemic. As such, our evidence-based understanding of the pandemic in the United States is incomplete, and rural recovery policies risk being informed by anecdotal or urban-centric information. We begin to complete this picture by measuring and assessing the impact of the COVID-19 pandemic on rural well-being in the North American West. Findings show there have been significant impacts on health-related and economic dimensions of well-being, and that these impacts are shared across sex, age, ethnicity, and education.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Linton, M.-J., Dieppe, P., & Medina-Lara, A. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-010641 · Cited by 638 · cited 1×
“Importantly, we test this question through two essential dimensions of well-being: first, healthrelated well-being, measured by the level of direct experience with the virus and perceived impacts to overall life and physical and mental health; and second, economic well-being, including formal and informal work, percei…”
Background
Cited by
Wang, Q., Rossignoli, C. M., Dompreh, E. B., Su, J., Griffiths, D., Htoo, K. K., Nway, H. M., Akester, M., & Gasparatos, A. (2024) · Agricultural Systems · doi:10.1016/j.agsy.2024.103935 · Cited by 31
Metadata
- Authors
- Mueller, J. T., McConnell, K., Burow, P. B., Pofahl, K., Merdjanoff, A. A., & Farrell, J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2020-12-28
- Volume
- 118
- Issue
- 1
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W3110653701
- Cited by
- 391
- References
- 1
- FWCI
- 57.90
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Impacts of the COVID-19 pandemic on rural America. https://app.cochat.ai/papers/10.1073/pnas.2019378118
- The paper
- Mueller, J. T., McConnell, K., Burow, P. B., Pofahl, K., Merdjanoff, A. A., & Farrell, J. (2021). Impacts of the COVID-19 pandemic on rural America. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2019378118
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.