Evidence map›Paper›PMID 41644983›Full record

ArticleScientific reports2026

MoVe: an integrated tool to explore the relationship between human mobility and vector-borne disease.

Chaitawat Sa-Ngamuang, Myat Su Yin, Thomas Barkowsky, Saranath Lawpoolsri, Dominique J Bicout, Peter Haddawy

Abstract read
In one paragraph

Article in Scientific reports, 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

6 authors.

Chaitawat Sa-NgamuangFaculty of ICT, Mahidol University, Nakhon Pathom, Thailand.
Myat Su YinDepartment of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Thomas BarkowskyFaculty of ICT, Mahidol University, Nakhon Pathom, Thailand.
Saranath LawpoolsriDepartment of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Dominique J BicoutFaculty of ICT, Mahidol University, Nakhon Pathom, Thailand.
Peter HaddawyFaculty of ICT, Mahidol University, Nakhon Pathom, Thailand. peter.had@mahidol.ac.th.

Funding

The National Research Council of Thailand NRCT5-RGJ63012-124
6 · The paper itself

Abstract

Understanding the role of human mobility in disease transmission is crucial for effective intervention. Analyzing mobility patterns can identify routes of transmission and highlight vulnerable populations. While tools exist for mobility analysis and disease simulation, none integrates all the needed capabilities into a single platform. Such integration is essential for seamless exploration of key questions and what-if scenarios. The MoVe (Mobility analysis for Vector-borne disease) platform meets this need by combining mobility analysis with agent-based simulation. It enables exploratory data analysis, generates mobility metrics, identifies stop locations, visualizes data, and allows users to run simulations based on mobility and risk factors. To demonstrate MoVe’s effectiveness, the platform was used in a case study of malaria transmission along the Thai-Myanmar border, where importation of infection complicates elimination efforts in Thailand. The spatial analysis shows distinct mobility patterns into high-risk areas among different occupational groups. By removing different types of cross-border mobility from the simulation, we quantify the impact of Thai and Myanmar migration on malaria infection rates in Thailand. These findings highlight the tool’s potential for understanding vector-borne disease transmission dynamics and its applicability to other regions and diseases.

Indexed as

MalariaVector Borne DiseasesAnimalsComputer SimulationHumansMyanmarRisk FactorsThailand

Identifiers

PMID41644983
PMCPMC12881562

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.