ArticlePloS one2021
Risk factors and true prevalence of bovine tuberculosis in Bangladesh.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 4 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Global prevalence and risk factors of bovine tuberculosis in cattle: a systematic review and meta-analysis.Frontiers in veterinary science · 2026Pooled it
- Prevalence of tuberculosis in bovines in Pakistan during 2000-2024: a systematic review and meta-analysis.Frontiers in veterinary science · 2025Pooled it
- A systematic review and meta-analysis of bovine tuberculosis occurrence and burden in Bangladesh, 1970-2023.Epidemiology and infection · 2024Pooled it
- Accuracy of Tests for Diagnosis of Animal Tuberculosis: Moving Away from the Golden Calf (and towards Bayesian Models).Transboundary and emerging diseases · 2023Pooled it
- Estimated true prevalence and associated risk factors of bovine paratuberculosis antibodies in dairy herds in Bangladesh.PloS one · 2026Article
- Sero-Prevalence and Molecular Detection of Mycobacterium bovis in Cattle at Sylhet Division of Bangladesh.Veterinary medicine and science · 2025Article
- Unveiling insights into bovine tuberculosis: A comprehensive review.Open veterinary journal · 2024Review
- Article
- Article
- Analysis of factors associated with the first lumpy skin disease outbreaks in naïve cattle herds in different regions of Thailand.Frontiers in veterinary science · 2024Article
- Gamma-interferon assay for the ancillary diagnosis of bovine tuberculosis in dairy cattle in urban and adjacent areas of Dhaka city, Bangladesh.Veterinary world · 2023Article
- Occurrence of tuberculosis among people exposed to cattle in Bangladesh.Veterinary medicine and science · 2023Observational
- Risk factors for bovine rotavirus infection and genotyping of bovine rotavirus in diarrheic calves in Bangladesh.PloS one · 2022Article
- Hierarchical true prevalence, risk factors and clinical symptoms of tuberculosis among suspects in Bangladesh.PloS one · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bovine tuberculosis (bTb) is endemic in Bangladesh but the true prevalence has not yet been reported. Our objectives for this study were to determine the true prevalence and identify risk factors for bTb at the animal- and herd-level in Bangladesh. A total of 510 cows were randomly selected during January 2018 to December 2018. Caudal fold (CFT) and comparative cervical tuberculin tests (CCT) were serially interpreted. Animal- and herd-level risk factor data were collected using a pre-tested questionnaire. The hierarchical true prevalence of bTb was estimated within a Bayesian framework. The herd- and animal-level risk factors were identified using mixed effects logistic regression. The apparent prevalence of bTb was 20.6% [95% Confidence Interval (CI): 17.3; 24.3] based on CFT. The animal-level true prevalence of bTb was 21.9 (13.0; 32.4). The herd-level true prevalence in different regions varied from 41.9% to 88.8%. The region-level true prevalence was 49.9 (13.8; 91.2). There is a 100% certainty that herds from Bhaluka and Mymensingh Sadar upazilas are not free from bTb. The odds of bTb were 3.9 times (1.2; 12.6) higher in herds having more than four cows than those with ≤ 4 cows. On the other hand, the risk of bTb was 3.3 times higher (1.0; 10.5) in non-grazing cows than grazing cows. Crossbred cows were 2.9 times (1.5; 5.9) more likely to be infected with bTb than indigenous cows. The risk of bTb in animals with cough was 2.3 times (1.2; 4.3) higher than those without cough. Crossbred, non-grazing cows with cough should be targeted for bTb surveillance. Herds of the Mymensingh, Sadar and Bhaluka regions should be emphasized for bTb control programs. Estimation of Bayesian hierarchical true prevalence facilitates identification of areas with higher prevalence and can be used to indicate regions that where true prevalence exceeds a pre-specified critical threshold.
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