Evidence map›Paper›PMID 38095735›Full record

ArticleParasitology research2023

Predicting the potential nationwide distribution of the snail vector, Oncomelania hupensis quadrasi, in the Philippines using the MaxEnt algorithm.

Loida M Recopuerto-Medina, Andrea Bernice M Aguado, Bianca Manuela M Baldonado, Rica Nikki B Bilasano, Sophia Miel L Dullano, Justine Marie R Molo, Nikki Heherson A Dagamac

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In one paragraph

Article in Parasitology research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Geospatial analysis ofJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2025
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  5. Review
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

7 authors at 1 institution in 1 country.

Loida M Recopuerto-MedinaDepartment of Biological Sciences, College of Science, University of Santo Tomas, España, 1008, Manila, Philippines.
Andrea Bernice M AguadoDepartment of Biological Sciences, College of Science, University of Santo Tomas, España, 1008, Manila, Philippines.
Bianca Manuela M BaldonadoDepartment of Biological Sciences, College of Science, University of Santo Tomas, España, 1008, Manila, Philippines.
Rica Nikki B BilasanoDepartment of Biological Sciences, College of Science, University of Santo Tomas, España, 1008, Manila, Philippines.
Sophia Miel L DullanoDepartment of Biological Sciences, College of Science, University of Santo Tomas, España, 1008, Manila, Philippines.
Justine Marie R MoloDepartment of Biological Sciences, College of Science, University of Santo Tomas, España, 1008, Manila, Philippines.
Nikki Heherson A DagamacDepartment of Biological Sciences, College of Science, University of Santo Tomas, España, 1008, Manila, Philippines. nhadagamac@gmail.com.
University of Santo Tomas · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schistosomiasis remains a major public health concern affecting approximately 12 million people in the Philippines due to inadequate information about the disease and limited prevention and control efforts. Schistosoma japonicum, one of the causative agents of the disease, requires an amphibious snail Oncomelania hupensis quadrasi (O. h. quadrasi) to complete its life cycle. Using the geographical information system (GIS) and maximum entropy (MaxEnt) algorithm, this study aims to predict the potential high-risk habitats of O. h. quadrasi driven by environmental factors in the Philippines. Based on the bioclimatic determinants, a very high-performance model was generated (AUC = 0.907), with the mean temperature of the driest quarter (25.3%) contributing significantly to the prevalence of O. h. quadrasi. Also, the snail vector has a high focal distribution, preferring areas with a pronounced wet season and high precipitation throughout the year. However, the findings provided evidence for snail adaptation to different environmental conditions. High suitability of snail habitats was found in Quezon, Camarines Norte, Camarines Sur, Albay, Sorsogon, Northern Samar, Eastern Samar, Leyte, Bohol, Surigao del Norte, Surigao del Sur, Agusan del Norte, Davao del Norte, North Cotabato, Lanao del Norte, Misamis Occidental, and Zamboanga del Sur. Furthermore, snail habitat establishment includes natural and man-made waterlogged areas, with the progression of global warming and climate change predicted to be drivers of increasing schistosomiasis transmission zones in the country.

Indexed as

GastropodaSchistosoma japonicumSchistosomiasisAnimalsChinaEcosystemEntropyHumansPhilippinesDisease epidemiologyEcological nicheMachine learningNeglected tropical diseasePredictive modeling

Identifiers

PMID38095735
OpenAlexW4389738147

What OpenQuestion holds

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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.