Evidence map›Paper›PMID 40575492›Full record

ArticleIJID regions2025

Estimating childhood tuberculosis incidence and under-reporting in Gedeo Zone, Ethiopia: a Bayesian hidden Markov model.

Solomon Hailemariam Tesfaye, Tsion Mulat Tebeje, Daneil Sisay, Mektew Belete, Yohannes Kifle, Asresu Feleke, Abinet Meno

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Article in IJID regions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Solomon Hailemariam TesfayeSchool of Public Health, College of Health Sciences and Medicine, Dilla University, Dilla, Ethiopia.
Tsion Mulat TebejeSchool of Public Health, College of Health Sciences and Medicine, Dilla University, Dilla, Ethiopia.
Daneil SisaySchool of Public Health, College of Health Sciences and Medicine, Dilla University, Dilla, Ethiopia.
Mektew BeleteGedeo Zone Health Department, Dilla, Ethiopia.
Yohannes KifleGedeo Zone Health Department, Dilla, Ethiopia.
Asresu FelekeDepartment of Nursing, College of Health Sciences and Medicine, Dilla University, Dilla, Ethiopia.
Abinet MenoSchool of Medicine, College of Health Sciences and Medicine, Dilla University, Dilla, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To estimate the incidence and under-reported cases of childhood tuberculosis (TB) in rural Ethiopia. Methods: We used a Bayesian hidden Markov model with Spatio-temporal random effects to analyze TB notification data from rural areas between 2018 and 2023. Spatial dependence and HIV infection were included as covariates for estimating TB incidence, while the availability of diagnostic services informed the case detection process. Sensitivity analysis were conducted to assess the robustness of the results with alternative prior distributions. Results: Childhood TB incidence in the Gedeo Zone increased from 141 cases per 100,000 population (95% uncertainty interval: 96-193) in 2018 to 157 cases (95% uncertainty interval: 114-207) in 2023. Estimated case detection rates ranged from 56 cases per 100,000 in 2018 to 62 in 2023, indicating substantial under-reporting. Spatial lags of TB notifications predicted incidence in adjacent areas. Sensitivity analysis confirmed result robustness. Conclusions: The gap between estimated TB incidence and reported cases highlights the urgent need to strengthen TB surveillance in the study area.

Indexed as

BayesianChildhoodHidden Markov modelIncidenceTuberculosis

Identifiers

PMID40575492
PMCPMC12198002

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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.