Evidence map›Paper›PMID 41818267›Full record

ArticlePLoS neglected tropical diseases2026

Geospatial risk prediction of hookworm infection and intensity among school-aged children in Dak Lak province, Vietnam.

Tin N D Pham, Adam W Bartlett, Katrina Blazek, Sze Fui Hii, Vito Colella, Dinh Ng-Nguyen, Susana Vaz Nery

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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. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tin N D PhamSchool of Population Health, University of New South Wales, Sydney, Australia.
Adam W BartlettGlobal Health Program, Kirby Institute, University of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-7532-9316
Katrina BlazekSchool of Population Health, University of New South Wales, Sydney, Australia.
Sze Fui HiiMelbourne Veterinary School, University of Melbourne, Melbourne, Australia.
Vito ColellaMelbourne Veterinary School, University of Melbourne, Melbourne, Australia.
Dinh Ng-NguyenFaculty of Animal Sciences and Veterinary Medicine, Tây Nguyên University, Buôn Ma Thuột, Vietnam.
Susana Vaz NeryGlobal Health Program, Kirby Institute, University of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHookworms remain problematic in Dak Lak province, Vietnam, despite a school preventive chemotherapy (PC) program since 2007. As hookworms depend on favourable ecological conditions, geospatial modelling incorporating environmental and climatic variables can predict high-risk areas for targeted interventions. This study provides geospatial risk predictions for hookworm infection and intensity among school-aged children in Dak Lak.

methodsHookworm infection status and intensity from 7,964 school-aged children from 64 schools collected in 2019-2020 during the Community Deworming for STH trial was combined with environmental and climatic data to develop risk prediction models for (i) overall hookworm infection and (ii) moderate-and-heavy intensity (MHI) Necator americanus infection. Environmental and climatic predictors for the multivariable generalised linear models were selected by identifying the model with the lowest Akaike Information Criterion. Semivariograms were examined for residual spatial autocorrelation, and if present, was accounted for using Matérn's covariance. Regression coefficients were used to predict overall hookworm and MHI N. americanus infection risk across Dak Lak province pre- and post-intervention.

resultsTemperature, precipitation, soil and vegetation variables were included in the hookworm model, while temperature and precipitation variables were included in the MHI N. americanus model. Most of Dak Lak had a predicted hookworm risk of 10-15% pre- and post-intervention, with high-risk hotspots in southern and eastern parts. Moderate-and-heavy intensity N. americanus infection risk pre-intervention was higher than 2% throughout the province and considerably reduced to small pockets in southeastern, central and northern areas post-intervention.

conclusionSchool-based PC should be delivered across Dak Lak at least annually, in keeping with World Health Organization recommendations. However, several hotspots have been identified that would benefit from increased frequency of school-based PC or community-wide mass drug administration.

Indexed as

Hookworm InfectionsNecatoriasisAdolescentAncylostomatoideaAnimalsChildClimateFecesFemaleHumansMaleNecator americanusRisk FactorsSchoolsVietnam

Identifiers

PMID41818267
PMCPMC13004524

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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.