Evidence map›Paper›PMID 38076323›Full record

ArticleThe Lancet regional health. Western Pacific2024

Risk mapping and socio-ecological drivers of soil-transmitted helminth infections in the Philippines: a spatial modelling study.

Tsheten Tsheten, Kefyalew Addis Alene, Angela Cadavid Restrepo, Matthew Kelly, Colleen Lau, Archie C A Clements, Darren J Gray, Chona Daga, Vanessa Joy Mapalo, Fe Esperanza Espino and 1 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

11 authors at 6 institutions in 3 countries.

Tsheten TshetenNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australia.
Kefyalew Addis AleneCurtin School of Population Health, Faculty of Health Sciences, Curtin University, Australia.
Angela Cadavid RestrepoSchool of Public Health, The University of Queensland, Australia.
Matthew KellyNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australia.
Colleen LauSchool of Public Health, The University of Queensland, Australia.
Archie C A ClementsResearch and Innovation, University of Plymouth, United Kingdom.
Darren J GrayQIMR Berghofer Medical Research Institute, Herston Rd Herston, QLD, Australia.
Chona DagaDepartment of Health, Research Institute for Tropical Medicine, Philippines.
Vanessa Joy MapaloDepartment of Health, Research Institute for Tropical Medicine, Philippines.
Fe Esperanza EspinoDepartment of Health, Research Institute for Tropical Medicine, Philippines.
Kinley WangdiNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australia.
Australian National University · AUResearch Institute for Tropical Medicine · PHThe University of Queensland · AUQIMR Berghofer Medical Research Institute · AUThe Kids Research Institute Australia · AUUniversity of Plymouth · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Philippines reports a high prevalence of soil-transmitted helminth (STH) infections despite the implementation of nationwide mass drug administration since 2006. The spatial variation of STH infections in the Philippines was last described using the 2005-2007 national STH and schistosomiasis survey. This study aimed to identify sociodemographic and environmental factors that drive STH transmission and predict high-risk areas in the Philippines. Methods: Epidemiological data on STH for students aged 5-16 years were obtained from the 2015 Philippines National Prevalence survey, while environmental data were extracted from satellite images and publicly available sources. Model-based geostatistics, implemented in a Bayesian framework, was used to identify sociodemographic and environmental correlates and predict high-risk areas for STH across the Philippines. The best-fitting model with the lowest deviance information criterion (DIC) was used to interpret the findings of the model and predict STH infection risk for the entire country. Risk maps were developed for each STH infection using the posterior means derived from the model. Findings: The prevalence of Interpretation: The spatial distribution of all three STH infections has considerably decreased since a previous national risk-mapping exercise. The high-risk areas identified in the study can be used to strategically target deworming and health education activities to further reduce the burden of STH and support progress toward elimination. Funding: The Australian Centre for the Control and Elimination of Neglected Tropical Diseases and the Australian National Health and Medical Research Council.

Indexed as

AscarisBayesian modellingClimaticHookwormPhilippinesPredictionSoil-transmitted helminthsTrichuris

Identifiers

PMID38076323
PMCPMC10701129
OpenAlexW4388922698

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.