Evidence map›Paper›PMID 36622143›Full record

ArticlemBio2023

Baseline Sequencing Surveillance of Public Clinical Testing, Hospitals, and Community Wastewater Reveals Rapid Emergence of SARS-CoV-2 Omicron Variant of Concern in Arizona, USA.

Matthew F Smith, Steven C Holland, Mihyun B Lee, James C Hu, Nghia C Pham, Regan A Sullins, LaRinda A Holland, Tianchen Mu, Alexis W Thomas, Remington Fitch and 10 more

Open access · goldAbstract read
In one paragraph

Article in mBio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Article
  5. Dynamics of SARS-CoV-2 variants in southwest Ohio municipal wastewater.Environmental science : water research & technology · 2025
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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

20 authors at 5 institutions in 1 country.

Matthew F Smith *Center for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Steven C Holland *Center for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Mihyun B LeeCenter for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
James C HuCenter for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Nghia C PhamCenter for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Regan A SullinsCenter for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
LaRinda A HollandCenter for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Tianchen MuCenter for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Alexis W ThomasCenter for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Remington FitchCenter for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Erin M DriverCenter for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Rolf U HaldenCenter for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Michelle Villegas-GoldKnowledge Enterprise, Arizona State University, Tempe, Arizona, USA.
Sheri SandersDignity Health, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA.
Jennifer L KraussDivision of Pathology and Laboratory Medicine, Phoenix Children's Hospital, Phoenix, Arizona, USA.
Lora NordstromValleywise Health Medical Center, Phoenix, Arizona, USA.
Mary MulrowValleywise Health Medical Center, Phoenix, Arizona, USA.
Michael WhiteValleywise Health Medical Center, Phoenix, Arizona, USA.
Vel MuruganCenter for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Efrem S LimCenter for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.ORCID 0000-0002-3397-9310
Arizona State University · USHealthwise · USCenter for Environmental Health · USPhoenix Children's Hospital · USSt. Joseph's Hospital and Medical Center · US

Funding

HHS | Centers for Disease Control and Prevention (CDC) BAA 75D30121C11084
6 · The paper itself

Abstract

The adaptive evolution of SARS-CoV-2 variants is driven by selection for increased viral fitness in transmissibility and immune evasion. Understanding the dynamics of how an emergent variant sweeps across populations can better inform public health response preparedness for future variants. Here, we investigated the state-level genomic epidemiology of SARS-CoV-2 through baseline genomic sequencing surveillance of 27,071 public testing specimens and 1,125 hospital inpatient specimens diagnosed between November 1, 2021, and January 31, 2022, in Arizona. We found that the Omicron variant rapidly displaced Delta variant in December 2021, leading to an "Omicron surge" of COVID-19 cases in early 2022. Wastewater sequencing surveillance of 370 samples supported the synchronous sweep of Omicron in the community. Hospital inpatient COVID-19 cases of Omicron variant presented to three major hospitals 10.51 days after its detection from public clinical testing. Nonsynonymous mutations in nsp3, nsp12, and nsp13 genes were significantly associated with Omicron hospital cases compared to community cases. To model SARS-CoV-2 transmissions across the state population, we developed a scalable sequence network methodology and showed that the Omicron variant spread through intracounty and intercounty transmissions. Finally, we demonstrated that the temporal emergence of Omicron BA.1 to become the dominant variant (17.02 days) was 2.3 times faster than the prior Delta variant (40.70 days) or subsequent Omicron sublineages BA.2 (39.65 days) and BA.5 (35.38 days). Our results demonstrate the uniquely rapid sweep of Omicron BA.1. These findings highlight how integrated public health surveillance can be used to enhance preparedness and response to future variants.

Indexed as

COVID-19SARS-CoV-2ArizonaCOVID-19 TestingHospitalsHumansWastewaterWastewateremergence dynamicshospital-associated mutationsOmicron variantSARS-CoV-2wastewater surveillance

Identifiers

PMID36622143
PMCPMC9972916
OpenAlexW4313857241

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.