Evidence map›Paper›PMID 42609950›Full record

ArticleBMJ public health2026

Local habitual movement as a mechanism for Schistosoma mansoni transmission resurgence: a causal analysis of cross-sectional survey data.

Rivka May Lim, Moses Arinaitwe, Simon A Babayan, Andrina Nankasi, Alon Atuhaire, Annet Namukuta, Mwima Nicholas, Amy B Pedersen, Joanne P Webster, Poppy H L Lamberton and 1 more

Abstract read
In one paragraph

Article in BMJ public health, 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

11 authors.

Rivka May LimInstitute of Evolution and Ecology, The University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0001-5247-7028
Moses ArinaitweSchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK.
Simon A BabayanSchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK.
Andrina NankasiVector Borne and Neglected Tropical Diseases Control Division, Republic of Uganda Ministry of Health, Kampala, Uganda.
Alon AtuhaireVector Borne and Neglected Tropical Diseases Control Division, Republic of Uganda Ministry of Health, Kampala, Uganda.
Annet NamukutaVector Borne and Neglected Tropical Diseases Control Division, Republic of Uganda Ministry of Health, Kampala, Uganda.
Mwima NicholasVector Borne and Neglected Tropical Diseases Control Division, Republic of Uganda Ministry of Health, Kampala, Uganda.
Amy B PedersenInstitute of Evolution and Ecology, The University of Edinburgh, Edinburgh, UK.
Joanne P WebsterDepartment of Pathobiology and Population Sciences, Royal Veterinary College, London, UK.
Poppy H L LambertonSchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK.
Jessica ClarkSchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background/aims: The WHO aims to eliminate schistosomiasis as a public health problem (EPHP) across 78 endemic countries, with interruption of transmission (IoT) as the goal in selected African countries by 2030. However, for low-prevalence settings that reach EPHP, guidance on managing transmission to maintain EPHP or move towards IoT is limited, partly due to insufficient knowledge of the drivers of persistence and/or re-emergence. In Uganda, some communities inland from Lake Victoria have achieved EPHP for Methods: We conducted a cross-sectional study in five Ugandan villages ~5 km from Lake Victoria. Parasitological data were collected using Kato-Katz and Point-of-Care Circulating Cathodic Antigen tests alongside questionnaires on lake travel from 585 individuals aged 1-91 years. A structural causal model estimated the total and direct effects of travel frequency, activity type, water contact duration and drug treatment history on infection. Bayesian regression models and counterfactual simulations predicted infection under hypothetical interventions. Results: Reaching IoT in low-risk villages may be undermined by habitual short-range travel to high-risk sites driven by the nature and duration of lake contact. Daily lake-related travel caused a 1.7-fold increase in the odds of infection, while occupational activities caused a 3.4-fold increase compared with no lake activity. Counterfactual analysis showed that removing the lake contact duration variable most reduced infection risk among moderate-frequency travellers, while daily travellers showed smaller changes, and some transmission persisted among individuals with little or no lake contact. Simulations demonstrated that modifying lake contact behaviours could reduce individual infection risk but had limited population-level impact. Conclusion: These findings indicate that targeting only high-risk villages or individual behaviours is unlikely to achieve sustained, widespread IoT, underscoring the need for integrated control strategies that account for context-specific behaviours and local transmission ecology.

Indexed as

CausalityCommunicable Disease ControlDisease Transmission, Infectious

Identifiers

PMID42609950
PMCPMC13479501

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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.