Skip to main navigation Skip to search Skip to main content

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

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

Research output: Contribution to journalA1: Peer-reviewed journal articlespeer-review

Abstract

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.

Original languageEnglish
JournalOpen Research Europe
Volume6
Issue number96
Pages (from-to)96
ISSN2732-5121
DOIs
Publication statusPublished - 2026

Fingerprint

Dive into the research topics of 'Assessing the impact of Enhanced-Case-Finding on tuberculosis case notifications and transmission in The Gambia using epidemiological and phylodynamic approaches'. Together they form a unique fingerprint.

Cite this