The University of Southampton
University of Southampton Institutional Repository

Finding gaps in routine TB surveillance activities in Bangladesh

Finding gaps in routine TB surveillance activities in Bangladesh
Finding gaps in routine TB surveillance activities in Bangladesh
Background: TB was the leading cause of death from a single infectious pathogen globally between 2014 and 2019. Fine-scale estimates of TB prevalence and case notifications can be combined to guide prioritysetting for strengthening routine surveillance activities in high-burden countries. We produce policy-relevant estimates of the TB epidemic at the second administrative unit in Bangladesh.

Methods: we used a Bayesian spatial framework and the cross-sectional National TB Prevalence Survey from 2015-2016 in Bangladesh to estimate prevalence by district. We used case notifications to calculate prevalence- to-notification ratio, a key metric of underdiagnosis and under-reporting.

Results: TB prevalence rates were highest in the north-eastern districts and ranged from 160 cases per 100,000 (95% uncertainty interval [UI] 80-310) in Jashore to 840 (UI 690-1020) in Sunamganj. Despite moderate prevalence rates, the Rajshahi and Dhaka Divisions presented the highest prevalence-to-notification ratios due to low case notifications. Resolving subnational disparities in case detection could lead to 26,500 additional TB cases (UI 8,500-79,400) notified every year.

Conclusion: this study is the first to produce and map subnational estimates of TB prevalence and prevalence-to-notification ratios, which are essential to target prevention and treatment efforts in high-burden settings. Reaching TB cases currently missing from care will be key to ending the TB epidemic.
National Tuberculosis Control Programme, SDG-3, case notification, geospatial modeling, spatial analysis, survey methods, tuberculosis, tuberculosis prevalence survey
1027-3719
356-362
Allorant, A.
e5d1772b-fc28-4c3c-a62a-fec789c20b5f
Biswas, S.
8063c786-b4a6-4f35-bcf7-012bc89f0932
Ahmed, S.
3016d732-9d62-42e1-b298-3f6fbd988496
Wiens, K.E.
067faa94-6ec7-403f-bd7b-c1ae677495a8
LeGrand, K.E.
ba778f89-70c7-41b5-b466-4cb18d10e928
Janko, M.M.
41c89bed-0bcf-45a6-ba13-58b341500f4e
Henry, N.J.
573475f2-576a-4247-a170-0266710cb9e6
Dangel, W.J.
18e7b6d3-2228-47a0-8e28-563eff988e71
Watson, A.
2f14b356-a03c-4c29-8698-48b1b67fbcd0
Blacker, B.F.
1b28e56f-0ef1-47c4-83d8-652b7ea5070e
Kyu, H.H.
e107e747-8af0-48f0-88ac-7b2f1241957c
Ross, J.M.
08d85514-f64b-408c-a3db-8addf94c647e
Rahman, M.S.
d022727a-16d6-43d3-9be1-64faeaa21b70
Hay, S.I.
de956712-7546-4d41-80a0-c6dc4a4f4f3d
Reiner, R.C.
713b5b29-685b-4b24-8970-a02c243ba213
Allorant, A.
e5d1772b-fc28-4c3c-a62a-fec789c20b5f
Biswas, S.
8063c786-b4a6-4f35-bcf7-012bc89f0932
Ahmed, S.
3016d732-9d62-42e1-b298-3f6fbd988496
Wiens, K.E.
067faa94-6ec7-403f-bd7b-c1ae677495a8
LeGrand, K.E.
ba778f89-70c7-41b5-b466-4cb18d10e928
Janko, M.M.
41c89bed-0bcf-45a6-ba13-58b341500f4e
Henry, N.J.
573475f2-576a-4247-a170-0266710cb9e6
Dangel, W.J.
18e7b6d3-2228-47a0-8e28-563eff988e71
Watson, A.
2f14b356-a03c-4c29-8698-48b1b67fbcd0
Blacker, B.F.
1b28e56f-0ef1-47c4-83d8-652b7ea5070e
Kyu, H.H.
e107e747-8af0-48f0-88ac-7b2f1241957c
Ross, J.M.
08d85514-f64b-408c-a3db-8addf94c647e
Rahman, M.S.
d022727a-16d6-43d3-9be1-64faeaa21b70
Hay, S.I.
de956712-7546-4d41-80a0-c6dc4a4f4f3d
Reiner, R.C.
713b5b29-685b-4b24-8970-a02c243ba213

Allorant, A., Biswas, S., Ahmed, S., Wiens, K.E., LeGrand, K.E., Janko, M.M., Henry, N.J., Dangel, W.J., Watson, A., Blacker, B.F., Kyu, H.H., Ross, J.M., Rahman, M.S., Hay, S.I. and Reiner, R.C. (2022) Finding gaps in routine TB surveillance activities in Bangladesh. International Journal of Tuberculosis and Lung Disease, 26 (4), 356-362. (doi:10.5588/ijtld.21.0624).

Record type: Article

Abstract

Background: TB was the leading cause of death from a single infectious pathogen globally between 2014 and 2019. Fine-scale estimates of TB prevalence and case notifications can be combined to guide prioritysetting for strengthening routine surveillance activities in high-burden countries. We produce policy-relevant estimates of the TB epidemic at the second administrative unit in Bangladesh.

Methods: we used a Bayesian spatial framework and the cross-sectional National TB Prevalence Survey from 2015-2016 in Bangladesh to estimate prevalence by district. We used case notifications to calculate prevalence- to-notification ratio, a key metric of underdiagnosis and under-reporting.

Results: TB prevalence rates were highest in the north-eastern districts and ranged from 160 cases per 100,000 (95% uncertainty interval [UI] 80-310) in Jashore to 840 (UI 690-1020) in Sunamganj. Despite moderate prevalence rates, the Rajshahi and Dhaka Divisions presented the highest prevalence-to-notification ratios due to low case notifications. Resolving subnational disparities in case detection could lead to 26,500 additional TB cases (UI 8,500-79,400) notified every year.

Conclusion: this study is the first to produce and map subnational estimates of TB prevalence and prevalence-to-notification ratios, which are essential to target prevention and treatment efforts in high-burden settings. Reaching TB cases currently missing from care will be key to ending the TB epidemic.

Text
s11 - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Accepted/In Press date: 7 November 2021
Published date: 1 April 2022
Keywords: National Tuberculosis Control Programme, SDG-3, case notification, geospatial modeling, spatial analysis, survey methods, tuberculosis, tuberculosis prevalence survey

Identifiers

Local EPrints ID: 496303
URI: http://eprints.soton.ac.uk/id/eprint/496303
ISSN: 1027-3719
PURE UUID: b75e128c-49ae-43de-897a-94893c52cb1d
ORCID for A. Allorant: ORCID iD orcid.org/0000-0002-9663-7561

Catalogue record

Date deposited: 11 Dec 2024 17:38
Last modified: 22 Aug 2025 02:45

Export record

Altmetrics

Contributors

Author: A. Allorant ORCID iD
Author: S. Biswas
Author: S. Ahmed
Author: K.E. Wiens
Author: K.E. LeGrand
Author: M.M. Janko
Author: N.J. Henry
Author: W.J. Dangel
Author: A. Watson
Author: B.F. Blacker
Author: H.H. Kyu
Author: J.M. Ross
Author: M.S. Rahman
Author: S.I. Hay
Author: R.C. Reiner

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×