Evidence map›Paper›PMID 40178677›Full record

ArticleJournal of epidemiology and global health2025

Assessing the Impact of Haulage Drivers in Uganda's COVID-19 Delta Wave.

Adrian Muwonge, Paul R Bessell, Mark Barend de Clare Bronsvoort, Ibrahim Mugerwa, Erisa Mwaka, Emmanuel Ssebaggala, Bryan Aidan Wee, Aggelos Kiayias, Christine Mbabazi Mpyangu, Moses Lutakome Joloba

Abstract read
In one paragraph

Article in Journal of epidemiology and global health, 2025. 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

10 authors.

Adrian MuwongeDigital One Health Laboratory, The Roslin Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK. adrian.muwonge@roslin.ed.ac.uk.ORCID http://orcid.org/0000-0002-8579-0384
Paul R BessellIndependent Consultant, Edinburgh, UK.ORCID http://orcid.org/0000-0002-7901-969X
Mark Barend de Clare BronsvoortDivision of Epidemiology, The Roslin Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-2541-6219
Ibrahim MugerwaMinistry of Health, Kampala, Uganda.ORCID http://orcid.org/0000-0001-5626-1259
Erisa MwakaIndependent Consultant, Edinburgh, UK.ORCID http://orcid.org/0000-0003-1672-9608
Emmanuel SsebaggalaBodastage Solutions, Kampala, Uganda.ORCID http://orcid.org/0000-0001-7405-4755
Bryan Aidan WeeDigital One Health Laboratory, The Roslin Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-6135-5903
Aggelos KiayiasBlockchain Technology Laboratory, School of Informatics, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-2451-1430
Christine Mbabazi MpyanguCollege of Humanities and Social Sciences, Makerere University, Kampala, Uganda.ORCID http://orcid.org/0000-0001-7130-4077
Moses Lutakome JolobaSchool of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.

Funding

BBSRC BBS/E/D/20002173 and BBS/E/D/20002174)Medical Research Council MR/V034952/1
6 · The paper itself

Abstract

backgroundHaulage truck drivers connect distant communities, posing potential disease introduction risks. However, interventions must balance public health protection, economic continuity, and individual rights. This study examines the role of haulage in disease introduction and onward spread in Uganda during the Delta wave of COVID-19.

methodsUsing 625,422 national surveillance records, we fitted a susceptible-infectious-recovered model to assess whether haulage drivers were a "core-risk group." Although they accounted for only 0.036% of COVID-19 cases, border districts associated with haulage registered 12.02% more cases than inland districts, suggesting a role in disease introduction. The risk varied by location, with Tororo experiencing a higher burden than Amuru and Kyotera, which border South Sudan and Tanzania, respectively. Mandatory COVID-19 testing and result waiting at the Malaba border crossing increased disease risk in Tororo by up to 6%. While haulage-targeted interventions reduced cases in border districts, they had minimal impact on inland districts, indicating a limited role in onward spread. Our findings also suggest that integrating haulage-specific measures with vaccination would further reduce case-load.

conclusionsOur findings suggest that truck drivers were a transient core risk group with limited impact on onward spread. However, uncertainties remain regarding the extent of their role, and interventions like testing and result waiting at border crossings may have inadvertently heightened risk. Pandemic preparedness strategies should carefully assess risks in key sectors like supply chains to balance public safety with individual rights.

Indexed as

COVID-19Motor VehiclesAdultFemaleHumansMaleSARS-CoV-2UgandaCore risk groupCOVID-19HaulageMathematical modelsPandemic interventionPreparedness

Identifiers

PMID40178677
PMCPMC11968599

What OpenQuestion holds

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LicenceCC BY
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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.