Evidence map›Paper›PMID 41662344›Full record

ArticlePLoS neglected tropical diseases2026

Expanding the molecular epidemiology of melioidosis in North Central Vietnam.

Michael H Norris, Thi Hai Au La, Morgan C Metrailer, Ha Viet Nguyen, Quyen Thi Le Tran, Treenate Jiranantasak, Tan Minh Luong, Andrew P Bluhm, Bich Ngoc Do, Thi Thu Ha Hoang and 7 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Michael H NorrisSpatial Epidemiology & Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, Florida, United States of America.ORCID https://orcid.org/0000-0002-5285-0432
Thi Hai Au LaPathogen Analysis and Translational Health Group, School of Life Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, United States of America.
Morgan C MetrailerSpatial Epidemiology & Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, Florida, United States of America.
Ha Viet NguyenVNU-Institute of Microbiology and Biotechnology, Vietnam National University, Hanoi, Vietnam.
Quyen Thi Le TranVNU-Institute of Microbiology and Biotechnology, Vietnam National University, Hanoi, Vietnam.
Treenate JiranantasakSpatial Epidemiology & Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, Florida, United States of America.
Tan Minh LuongDepartment of Environmental Health, Faculty of Environmental and Occupational Health, Hanoi University of Public Health, Hanoi, Vietnam.
Andrew P BluhmSpatial Epidemiology & Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, Florida, United States of America.
Bich Ngoc DoNational Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Thi Thu Ha HoangNational Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Minh Hoa LuongNational Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Thanh Hai PhamNational Institute of Hygiene and Epidemiology, Hanoi, Vietnam.
Linh Nguyen Hai BuiVNU-Institute of Microbiology and Biotechnology, Vietnam National University, Hanoi, Vietnam.
Hang Thi Thu NguyenVietnam Institute of Animal and Veterinary Science, Hanoi, Vietnam.
Huyen Thi PhamHa Tinh General Hospital, Ha Tinh, Vietnam.
Trung Thanh TrinhVNU-Institute of Microbiology and Biotechnology, Vietnam National University, Hanoi, Vietnam.
Jason K BlackburnSpatial Epidemiology & Ecology Research Laboratory, Department of Geography, University of Florida, Gainesville, Florida, United States of America.ORCID https://orcid.org/0000-0003-0928-4831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cases of melioidosis have been recorded for many years in Vietnam though it is still not a nationally reportable disease in Vietnam. More research is needed to understand the disease ecology and public health impacts of melioidosis in the country. To this aim, broadening the knowledge base of strains and epidemiology of infections in relation to genotypes present in the soil reservoir can tell us about the propensity of Burkholderia pseudomallei genotypes to transmit from soil to humans. Thirty-five clinical B. pseudomallei isolates, ten from soil, one from swine, and one from a bear were collected by the Institute of Microbiology and Biotechnology, Vietnam National University and sequenced at the National Institute of Hygiene and Epidemiology in Hanoi. The clinical strains were isolated from melioidosis patients from Ha Tinh in each month of 2020 (except July). There were 15 STs identified and four of the clinical isolates were new sequence types (ST) as determined by traditional seven marker multi-locus sequence typing (MLST) analysis. Twenty of the thirty-five (57%) clinical strains isolated in this study were ST 41, with ST 41 isolates obtained throughout the year and across Ha Tinh province with core genome (cg) MLST identifying finer scale differences. ST 41 was recovered from one soil sample approximately 1 year after the clinical isolates. cgMLST analysis and whole genome SNP analysis revealed nucleotide differences among strains in Ha Tinh historically contextualizing them in Vietnam and globally. As melioidosis moves towards a reportable disease in Vietnam, molecular epidemiological methods can connect human, veterinary, and environmental genotypes of concern.

Indexed as

Burkholderia pseudomalleiMelioidosisAnimalsGenotypeHumansMolecular EpidemiologyMultilocus Sequence TypingPhylogenySoil MicrobiologySwineSwine DiseasesVietnam

Identifiers

PMID41662344
PMCPMC12900444

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Registered trials

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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.