Evidence map›Paper›PMID 41575210›Full record

ArticleMicrobiology spectrum2026

Genomic analysis reveals dynamics of SARS-CoV-2 during the initial phases of the COVID-19 outbreak in the Dominican Republic.

Allie Kreitman, Alexandra Mushegian, Martha I Nelson, Stephanie Banakis, Christopher Mederos, Matthew Chung, Allison Roder, Armando Peguero, Sayira Mueses, Paula Cuevas and 2 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Allie Kreitman *Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-0390-5425
Alexandra Mushegian *Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Martha I NelsonComputational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, Maryland, USA.
Stephanie BanakisSystems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Christopher MederosSystems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Matthew ChungSystems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Allison RoderSystems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Armando PegueroInstituto de Medicina Tropical & Salud Global, Universidad Iberoamericana (UNIBE), UNIBE Research Hub, Santo Domingo, Dominican Republic.
Sayira MuesesInstituto de Medicina Tropical & Salud Global, Universidad Iberoamericana (UNIBE), UNIBE Research Hub, Santo Domingo, Dominican Republic.
Paula CuevasDepartment of Applications, Bionuclear, Santo Domingo, Dominican Republic.
Robert Paulino-RamírezInstituto de Medicina Tropical & Salud Global, Universidad Iberoamericana (UNIBE), UNIBE Research Hub, Santo Domingo, Dominican Republic.ORCID 0000-0002-3676-0357
Elodie GhedinSystems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-1515-725X

Funding

NIH Intramural Research Program AI001324
6 · The paper itself

Abstract

Genomic sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been widely instituted during the coronavirus disease 2019 (COVID-19) pandemic to track the emergence and spread of new lineages. While this powerful tool can influence public health decisions and therapeutic development, not all regions of the world have had equal access to sequencing capacity, affecting surveillance. One such underrepresented region is the Caribbean islands, including the Dominican Republic (DR). To determine retrospectively what lineages were circulating in the DR in the first year of the pandemic, when there were strict travel restrictions imposed, we sequenced SARS-CoV-2 from nasal swab and saliva samples collected between July 2020 and February 2021. We investigated whether COVID-19 outbreaks were seeded by single or multiple introductions and established epidemiological linkages to other countries. Using 98 newly sequenced samples, we identified 16 SARS-CoV-2 lineages in the DR, indicating many independent introductions from diverse geographic areas. Further, we show that analyzing both globally prevalent and globally rare lineages within the DR highlights different aspects of international disease transmission.IMPORTANCEThis study uses genome sequencing of severe acute respiratory syndrome coronavirus 2 samples collected in an undersampled region of the world-the Caribbean, specifically the Dominican Republic-to make novel inferences about the dynamics of disease spread during a period of the coronavirus disease 2019 pandemic when many diverse lineages were co-circulating globally.

Indexed as

COVID-19Genome, ViralSARS-CoV-2Disease OutbreaksDominican RepublicGenomicsHumansPandemicsPhylogenyRetrospective StudiesCOVID-19 pandemicDominican Republicgenomic epidemiologySARS-CoV-2 genomics

Identifiers

PMID41575210
PMCPMC12955433

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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.