ArticlePloS one2022
A panel regression analysis for the COVID-19 epidemic in the United States.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Integrated analysis of meteorological conditions and agricultural yields in Indonesia using causal learning and intelligent clustering for climate change mitigation.Scientific reports · 2026Article
- Surviving the first five years: the economic and healthcare determinants of child mortality in Sri Lanka.Journal of health, population, and nutrition · 2025Article
- Economic and healthcare determinants of under-five mortality in low-income countries.BMC public health · 2025Article
- Factors associated with COVID-19 vaccination rates in countries with different income levels: a panel analysis.BMC public health · 2024Article
- A protocol for modeling the factors influencing the deployment of the COVID-19 vaccine across African countries.PloS one · 2024Article
- The relationship between PMHeliyon · 2023Article
- How price-gouging regulation undermined COVID-19 mitigation: county-level evidence of unintended consequences.Public choice · 2023Article
Corrections and comments
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study explored the roles of epidemic-spread-related behaviors, vaccination status and weather factors during the COVID-19 epidemic in 50 U.S. states since March 2020. Data from March 1, 2020 to February 5, 2022 were incorporated into panel model. The states were clustered by the k-means method. In addition to discussing the whole time period, we also took multiple events nodes into account and analyzed the data in different time periods respectively by panel linear regression method. In addition, influence of cluster grouping and different incubation periods were been discussed. Non-segmented analysis showed the rate of people staying at home and the vaccination dose per capita were significantly negatively correlated with the daily incidence rate, while the number of long-distance trips was positively correlated. Weather indicators also had a negative effect to a certain extent. Most segmental results support the above view. The vaccination dose per capita was unsurprisingly proved to be the most significant factor especially for epidemic dominated by Omicron strains. 7-day was a more robust incubation period with the best model fit while weather had different effects on the epidemic spread in different time period. The implementation of prevention behaviors and the promotion of vaccination may have a successful control effect on COVID-19, including variants' epidemic such as Omicron. The spread of COVID-19 also might be associated with weather, albeit to a lesser extent.
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Registered trials
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