ArticleScientific data2025
Wastewater dataset on the SARS-CoV-2 sublineages circulating in Central Arkansas, USA, post-COVID-19 pandemic.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
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.
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Who cites it
2 citing papers in PubMed.
- Review
- Wastewater dataset on the SARS-CoV-2 sublineages circulating in Central Arkansas, USA, post-COVID-19 pandemic.Scientific data · 2025Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability of coronaviruses to adapt to new hosts and cause widespread disease outbreaks poses a significant threat to global public health systems and economies. The severity of the COVID-19 pandemic has emphasized the importance of studying coronaviruses and monitoring them in communities. We investigated SARS-CoV-2 and its genomic changes in wastewater influent sampled from two metropolitan areas in Arkansas, USA, between April 2020 and March 2024. The data presented here are a follow up report to our previous publication on the findings from the period of April 2020 to January 2022 and show the SARS-CoV-2 variants circulating between February 2022 and March 2024. The levels of viral RNA were measured by reverse-transcription quantitative polymerase chain reaction and targeted three SARS-CoV-2 genes (encoding ORF1ab polyprotein, ORF1ab; surface glycoprotein, S-protein; and nucleocapsid phosphoprotein, N-protein). The identity and genetic diversity of the virus were investigated using amplicon-based RNA sequencing. These data provide important information on SARS-CoV-2 evolution and help to understand the occurrence of COVID-19 outbreaks in the community.
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