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

Our 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.

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Publication Details

Journal
Journal of Epidemiology and Global Health
Published
2025-04-03
DOI
https://doi.org/10.1007/s44197-025-00387-w
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.37

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article

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

Emmanuel Robert Ssebaggala, Adrian Muwonge, Erisa Mwaka, Christine Mbabazi Mpyangu et al.
1 citations
Journal of Epidemiology and Global Health
COVID-19 epidemiological studies
1.37
article

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

Emmanuel Robert Ssebaggala, Adrian Muwonge, Erisa Mwaka, Christine Mbabazi Mpyangu, Mark Barend de Clare Bronsvoort, Aggelos Kiayias, Paul R. Bessell, Bryan A. Wee, Moses Lutakome Joloba, Mazen Ibrahim
article en
1 citations

Abstract

Our 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.

Journal of Epidemiology and Global HealthVol. 15(1)
Roslin Institute (GB), Ministry of Health (UG), Makerere University (UG), University of Edinburgh (GB)
Medical Research Council, Biotechnology and Biological Sciences Research Council
Good health and well-being
Openalex Percentile: Top 24%
COVID-19 epidemiological studies
1.37
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