Assessing the impact of Enhanced-Case-Finding on tuberculosis case notifications and transmission in The Gambia using epidemiological and phylodynamic approaches

<ns3:p>Background Most tuberculosis (TB) cases in The Gambia are notified in the Greater Banjul Area (GBA). We conducted an Enhanced-Case-Finding (ECF) intervention in the GBA and determined its effect on TB case notifications and ongoing TB transmission. Methods This was a cluster randomized trial in which randomly assigned intervention areas of grouped settlements received three rounds of an ECF strategy consisting of sensitization followed by auramine microscopy, whereas people with TB in control areas continued to be identified through passive case finding. People with TB were recruited at the TB diagnostic and treatment centers serving both the intervention- and control areas. The primary outcome was TB case notification rate. To exclude that an increase in notified cases, followed by a decrease in notified cases, would hide the future impact of the intervention, we tested for changes in transmission dynamics using both genetic clustering and phylodynamic methods. Results 3,047 people living with TB were recruited in the study, evenly split between intervention and control regions. No significant difference in TB case notification rates, transmission clustering or effective reproductive number was detected between intervention and control areas using either a case notification rate or phylodynamic approach. Conclusion Although we did not find evidence for decreased TB case notification nor TB transmission through the ECF strategy used, this approach is an examplar of how both classical epidemiology and genomic phylodynamics approaches can be integrated to better assess public health intervention outcomes.</ns3:p>

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Journal
Open Research Europe
Published
2026-04-10
DOI
https://doi.org/10.12688/openreseurope.21214.1
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
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article

Assessing the impact of Enhanced-Case-Finding on tuberculosis case notifications and transmission in The Gambia using epidemiological and phylodynamic approaches

Kodjovi D. Mlaga, Boatema Ofori-Anyinam, Basil Sambou, Ensa Gitteh et al.
Open Research Europe
Tuberculosis Research and Epidemiology
article

Assessing the impact of Enhanced-Case-Finding on tuberculosis case notifications and transmission in The Gambia using epidemiological and phylodynamic approaches

Kodjovi D. Mlaga, Boatema Ofori-Anyinam, Basil Sambou, Ensa Gitteh, Francis Mendy, Tutty Faal, Florian Gehre, Etthel M. Windels, Abdul Khalie Muhammad, Catherine Okoi, I. M. O. Adetifa, Abi Janet Riley, Simon Donkor, Ken Joof, Conor Joseph Meehan, David Jeffries, Edward Demba, Francis Oko, Wim Mulders, Tijan Jobarteh, Fatoumatta Kanuteh, Binta Sarr-Kuyateh, Shadrac Agbla, Kodou Lette, B. Catherine de Jong, Umberto D'Alessandro, Martin Antonio, William Dei-Alorse, Anna Roca
article en

Abstract

<ns3:p>Background Most tuberculosis (TB) cases in The Gambia are notified in the Greater Banjul Area (GBA). We conducted an Enhanced-Case-Finding (ECF) intervention in the GBA and determined its effect on TB case notifications and ongoing TB transmission. Methods This was a cluster randomized trial in which randomly assigned intervention areas of grouped settlements received three rounds of an ECF strategy consisting of sensitization followed by auramine microscopy, whereas people with TB in control areas continued to be identified through passive case finding. People with TB were recruited at the TB diagnostic and treatment centers serving both the intervention- and control areas. The primary outcome was TB case notification rate. To exclude that an increase in notified cases, followed by a decrease in notified cases, would hide the future impact of the intervention, we tested for changes in transmission dynamics using both genetic clustering and phylodynamic methods. Results 3,047 people living with TB were recruited in the study, evenly split between intervention and control regions. No significant difference in TB case notification rates, transmission clustering or effective reproductive number was detected between intervention and control areas using either a case notification rate or phylodynamic approach. Conclusion Although we did not find evidence for decreased TB case notification nor TB transmission through the ECF strategy used, this approach is an examplar of how both classical epidemiology and genomic phylodynamics approaches can be integrated to better assess public health intervention outcomes.</ns3:p>

Open Research EuropeVol. 6
SIB Swiss Institute of Bioinformatics (CH), Swiss Tropical and Public Health Institute (CH), University of Lagos (NG), National University of Computer and Emerging Sciences (PK), ETH Zurich (CH), MRC Unit the Gambia (GM), Nigeria Centre for Disease Control (NG), East, Central and Southern Africa Health Community (TZ), Nottingham Trent University (GB), Instituut voor Tropische Geneeskunde (BE), Bernhard Nocht Institute for Tropical Medicine (DE)
European Research Council
Good health and well-being
Openalex Percentile: Top 21%
Tuberculosis Research and Epidemiology
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