| Literature DB >> 33061251 |
Musiliu Abiodun Agbalaya1, Olayinka Olabisi Ishola2, Hezekiah Kehinde Adesokan2, Olufunmilayo Ibitola Fawole3.
Abstract
BACKGROUND AND AIM: Bovine tuberculosis (bTB) is a zoonotic disease of major public health importance, especially in many developing countries, including Nigeria, where control measures are largely not applied, and the risks of human infection are high. This study was aimed at determining the current prevalence of bTB in slaughtered cattle and identifying factors associated with the risk of disease transmission among cattle handlers toward making informed control measures to limit human-animal interface disease transmission.Entities:
Keywords: abattoir; bovine tuberculosis; cattle handlers; prevalence; public health
Year: 2020 PMID: 33061251 PMCID: PMC7522950 DOI: 10.14202/vetworld.2020.1725-1731
Source DB: PubMed Journal: Vet World ISSN: 0972-8988
Body condition and seropositivity of cattle slaughtered at the Oko-Oba abattoir Agege Lagos, South West, Nigeria, May, 2017.
| Body Condition of Cattle | Seropositive | Confidence interval 95% | Seronegative | Confidence interval 95% | Percentage |
|---|---|---|---|---|---|
| Fair | 8 | (7.2-10.4) | 32 | (22.5-45.5) | 25.0 |
| Good | 36 | (23.3-56.3) | 99 | (70.4-84.1) | 36.4 |
| Poor | 4 | (1.4-7.4) | 8 | (6.5-15.3) | 50.0 |
Demographic characteristics of cattle handlers at Oko-Oba Agege Abattoir in Lagos, South West Nigeria, May, 2017.
| Characteristic | Female (n=35) | Male (n=121) | Total (%) |
|---|---|---|---|
| Age (Mean±standard deviation) | 24.5±6.0 | 32.5±7.2 | |
| Marital Status | |||
| Single | 12 (34.3) | 30 (24.8) | 42 (26.9) |
| Married | 18 (51.4) | 91 (75.2) | 109 (69.9) |
| Widowed | 5 (14.3) | 0 (0) | 5 (3.2) |
| Education | |||
| Primary | 25 (71.4) | 40 (33.1) | 65 (41.7) |
| Secondary | 7 (20) | 60 (49.6) | 67 (42.9) |
| Tertiary | 3 (8.6) | 8 (6.6) | 11 (7.1) |
| Others (Quran) | 0 (0) | 13 (10.7) | 13 (8.3) |
| Work duration (years) | |||
| 1-2 | 20 (57.1) | 23 (19.0) | 43 (27.6) |
| 3-5 | 5 (14.3%) | 38 (31.4%) | 43 (27.6) |
| >6 | 10 (28.6%) | 60 (49.6%) | 70 (44.9) |
Factors associated with risk of bovine tuberculosis transmission among cattle handlers in Oko-Oba Agege abattoir in Lagos, South West, Nigeria, May, 2017.
| Exposure variable | Odds ratio | 95% confidence interval | p-value |
|---|---|---|---|
| Length of work at abattoir: >6/<6 years | 3.1 | (1.3-6.0) | 0.001 |
| Do you know mode of transmission: Yes/No | 2.2 | (1.4-5.5) | 0.02 |
| Do you sleep in animal shed: Yes/No | 1.6 | (0.6-4.2) | 0.2 |
| Potential risk associated with your job: Yes/No | 2.0 | (1.4-4.0) | 0.02 |
| Do you eat or drink at place of work: Yes/No | 0.8 | (0.6-2.0) | 0.2 |
| Do you drink fresh milk: Yes/No | 0.3 | (0.1-0.9) | 0.006 |
| Do you boil your milk before drinking: Yes/No | 0.3 | (0.2-0.9) | 0.02 |
| Do you eat raw meat: Yes/No | 1.4 | (0.8-4.6) | 0.7 |
| Ever seen BTB in your slaughtered animals: Yes/No | 0.2 | (0.1-0.5) | 0.0001 |
| What do you do when you see BTB lesion: Call meat inspector/ignore | 2.6 | (1.6-5.2) | 0.02 |
| Do you consume meat with BTB lesions: Yes/No | 2.6 | (1.6-5.2) | 0.02 |
| Have or had you ever had persistent cough: Yes/No | 1.4 | (0.4-6.0) | 0.4 |
| Are you vaccinated with BCG: Yes/No | 0.5 | (0.2-2.0) | 0.3 |
| Do you receive any training on BTB: Yes/No | 0.6 | (0.4-2.4) | 0.4 |
Values significant at≤0.05; “Yes” as reference
Multivariate analysis of factors associated with the risk for bovine tuberculosis transmission among cattle handlers in Oko-Oba, Agege Abattoir in Lagos, South West, Nigeria, May, 2017.
| Variable | Odd ratio | 95% Confidence interval | p-value |
|---|---|---|---|
| Length of work | 3.50 | (1.16-7.58) | 0.0104 |
| Transmission | 1.71 | (0.86-3.64) | 0.4751 |
| Risk to job | 1.57 | (0.58-4.17) | 0.3865 |
| Drinking fresh milk | 0.56 | (0.17-1.33) | 0.0758 |
| Raw meat | 0.81 | (0.34-2.18) | 0.6758 |
| Lesion in animal | 0.30 | (0.12-0.76) | 0.0103 |
| Action carried out on lesion | 1.30 | (0.51-3.33) | 0.5851 |
| Consume lesion | 1.83 | (0.75-4.45) | 0.1885 |
Values that remained significant in the unconditional logistic regression model