Evidence map›Paper›PMID 35379194›Full record

ArticleBMC genomics2022

Genomic epidemiology of the Los Angeles COVID-19 outbreak and the early history of the B.1.43 strain in the USA.

Longhua Guo, James Boocock, Evann E Hilt, Sukantha Chandrasekaran, Yi Zhang, Chetan Munugala, Laila Sathe, Noah Alexander, Valerie A Arboleda, Jonathan Flint and 7 more

Abstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

17 authors.

Longhua Guo *Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA.
James Boocock *Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Evann E HiltDepartment of Pathology & Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Sukantha ChandrasekaranDepartment of Pathology & Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Yi ZhangDepartment of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Chetan MunugalaDepartment of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Laila SatheDepartment of Pathology & Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Noah AlexanderDepartment of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Valerie A ArboledaDepartment of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Jonathan FlintDepartment of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Eleazar EskinDepartment of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Chongyuan LuoDepartment of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Shangxin YangDepartment of Pathology & Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Omai B GarnerDepartment of Pathology & Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Yi YinDepartment of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA. yiyin@mednet.ucla.edu.
Joshua S BloomDepartment of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA. jbloom@mednet.ucla.edu.
Leonid KruglyakDepartment of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA. lkruglyak@mednet.ucla.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused global disruption of human health and activity. Being able to trace the early outbreak of SARS-CoV-2 within a locality can inform public health measures and provide insights to contain or prevent viral transmission. Investigation of the transmission history requires efficient sequencing methods and analytic strategies, which can be generally useful in the study of viral outbreaks.

methodsThe County of Los Angeles (hereafter, LA County) sustained a large outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To learn about the transmission history, we carried out surveillance viral genome sequencing to determine 142 viral genomes from unique patients seeking care at the University of California, Los Angeles (UCLA) Health System. 86 of these genomes were from samples collected before April 19, 2020.

resultsWe found that the early outbreak in LA County, as in other international air travel hubs, was seeded by multiple introductions of strains from Asia and Europe. We identified a USA-specific strain, B.1.43, which was found predominantly in California and Washington State. While samples from LA County carried the ancestral B.1.43 genome, viral genomes from neighboring counties in California and from counties in Washington State carried additional mutations, suggesting a potential origin of B.1.43 in Southern California. We quantified the transmission rate of SARS-CoV-2 over time, and found evidence that the public health measures put in place in LA County to control the virus were effective at preventing transmission, but might have been undermined by the many introductions of SARS-CoV-2 into the region.

conclusionOur work demonstrates that genome sequencing can be a powerful tool for investigating outbreaks and informing the public health response. Our results reinforce the critical need for the USA to have coordinated inter-state responses to the pandemic.

Indexed as

COVID-19Disease OutbreaksGenomicsHumansLos AngelesSARS-CoV-2

Identifiers

PMID35379194
PMCPMC8978495

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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.