Prevalence and herd-level risk factors of bovine tuberculosis in the State of Goiás, Brazil

Bovine tuberculosis results in economic losses in livestock production and poses a risk to public health. This study aimed to characterize the epidemiological status of bovine tuberculosis in adult cows in the state of Goiás, Brazil. The state was divided into three sampling strata, corresponding to different livestock production circuits. A total of 18,659 animals were tested with the comparative cervical tuberculin test (CCT), in 300 randomly sampled bovine herds per stratum. An epidemiological questionnaire was used to identify health and management practices that may be associated with the presence of tuberculosis infection in the herd. In Stratum 1, dominated by beef cattle, no animals reacted to the CCT. In Stratum 2, which covers the main dairy regions of the state, the prevalence was estimated at 8.67% [5.73 to 12.74%] for herds and at 0.9% [0.21 to 1.58%] for animals. In Stratum 3, characterized by a mix of dairy, beef and dual-purpose herds, the prevalence was estimated at 1.00% [0.21 to 2.89] for herds and 0.30% [0.10 to 0.49 %] for animals. The overall prevalence in the state of Goiás was 3.43% [2.20 to 4.67%] for herds and 0.30% [0.10 to 0.49%] for animals. The multiple logistic regression analysis revealed that herd-level risk factors associated with the presence of the bovine tuberculosis are: the location of the herd in Stratum 2 (OR = 12.05 [3.52 to 41.28]) and the number of times a cow is milked per day (OR = 6.27 [2.72 to 14.44]). Regular veterinary care was identified as a protective factor (OR = 0.38 [0.15-0.94]). These results indicate that bovine tuberculosis is endemic in the state; its spatial distribution is heterogeneous with a strong concentration in dairy regions. The most intensive dairy farms are those with the highest risk, which is consistent with what other authors’ found elsewhere in Brazil. The epidemiological information generated by this study provides information for planning of risk-based surveillance actions, and justifies the adoption of free-herd certification programs for bovine tuberculosis in the main dairy regions of Goiás.

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Prevalence and herd-level risk factors of bovine tuberculosis in the State of Santa Catarina

Semina Ciências Agrárias ◽

10.5433/1679-0359.2016v37n5supl2p3659 ◽

2016 ◽

Vol 37 (5Supl2) ◽

pp. 3659 ◽

Cited By ~ 2

Author(s):

Flávio Pereira Veloso ◽

Karina Diniz Baumgarten ◽

Ana Lourdes Arrais de Alencar Mota ◽

Fernando Ferreira ◽

José Soares Ferreira Neto ◽

...

Keyword(s):

Risk Factors ◽

Bovine Tuberculosis ◽

Management Practices ◽

Animal Health ◽

Health Agency ◽

The State ◽

Dairy Herds ◽

Santa Catarina ◽

Significant Difference ◽

The University

With the aim of supporting the strategic planning of the National Program for Control and Eradication of Brucellosis and Tuberculosis, different Brazilian states have been conducting cross-sectional studies, coordinated by the Ministry of Agriculture, Livestock, and Supply and with scientific support from the University of São Paulo and the University of Brasilia. In Santa Catarina, the State Animal Health Agency (CIDASC) conducted a study on bovine tuberculosis (TB) prevalence and assessment of risk factors in 2012. The state was divided into five regions and, in each region, independent sampling was performed in two steps: (i) cattle herds with reproductive activity were randomly selected; and (ii) in each herd, a sample of females aged 24 months or older underwent the intradermal comparative tuberculin test. A questionnaire was used to collect data on production characteristics and management practices that could be associated with the tuberculosis infection. Herd prevalence of bovine TB was 0.50% (95% confidence interval [CI]: 0.074–0.93%) while the prevalence of TB in adult females was 0.06% (95% CI: 0–0.12%). No significant difference in the prevalence of infected herds and of positive females was observed among the five regions. The logistic regression model revealed that herds with 19 or more females showed an odds ratio (OR) of 7.68 (95% CI: 1.22–48.39) compared to smaller herds, while dairy herds presented an OR of 10.43 (95% CI: 2.00–54.25) relative to beef or dual-purpose herds. The results suggest that dairy herds, in which animals are kept in partial or total confinement, and larger herds, which tend to acquire animals more often, are at a higher risk of bovine TB. Given the low prevalence and the type of higher-risk properties, a bovine TB surveillance system should be targeted at the state’s dairy basins, particularly the western region that accounts for the major industries and more intensive dairy farms.

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Herd-Level Risk Factors for Bovine Tuberculosis: A Literature Review

Veterinary Medicine International ◽

10.1155/2012/621210 ◽

2012 ◽

Vol 2012 ◽

pp. 1-10 ◽

Cited By ~ 65

Author(s):

Robin A. Skuce ◽

Adrian R. Allen ◽

Stanley W. J. McDowell

Keyword(s):

Risk Factors ◽

Bovine Tuberculosis ◽

Management Practices ◽

Scientific Evidence ◽

Epidemiological Studies ◽

Herd Size ◽

Herd Level ◽

Endemic Diseases ◽

Veterinary Profession ◽

Cattle Herds

Bovine tuberculosis (TB), caused byMycobacterium bovis, is one of the most challenging endemic diseases currently facing government, the veterinary profession, and the farming industry in the United Kingdom and Ireland and in several other countries. The disease has a notoriously complex epidemiology; the scientific evidence supports both cattle-cattle and wildlife-cattle transmission routes. To produce more effective ways of reducing such transmission, it is important to understand those risk factors which influence the presence or absence of bovine TB in cattle herds. Here we review the literature on herd-level risk factor studies. Whilst risk factors operate at different scales and may vary across regions, epidemiological studies have identified a number of risk factors associated with bovine TB herd breakdowns, including the purchase of cattle, the occurrence of bovine TB in contiguous herds, and/or the surrounding area as well as herd size. Other factors identified in some studies include farm and herd management practices, such as, the spreading of slurry, the use of certain housing types, farms having multiple premises, and the use of silage clamps. In general, the most consistently identified risk factors are biologically plausible and consistent with known transmission routes involving cattle-cattle and wildlife-cattle pathways.

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Epidemiological status of bovine leptospirosis in the State of Paraná, Brazil

Semina Ciências Agrárias ◽

10.5433/1679-0359.2015v36n6supl2p4341 ◽

2015 ◽

Vol 36 (6Supl2) ◽

pp. 4341 ◽

Cited By ~ 1

Author(s):

Vanessa Yumi Hashimoto ◽

Juliana Alves Dias ◽

Roberta Torres Chideroli ◽

Jean Carlos Alves Barbara ◽

Talita Bianca Brunharo ◽

...

Keyword(s):

Risk Factors ◽

Management Practices ◽

Multiple Logistic Regression Analysis ◽

Reproductive Activity ◽

The State ◽

Serum Samples ◽

Factors Associated ◽

Apparent Prevalence ◽

Cattle Herds ◽

Bovine Leptospirosis

The objective of this study was to determine the prevalence of antibodies against Leptospira spp and their geographic distribution and to identify the risk factors associated with this disease in cattle herds with reproductive activity in the state of Paraná. A total of 14 163 females aged ?24 months originating from 1 926 herds that were not vaccinated against Leptospira spp were evaluated. To detect the Leptospira spp antibodies, all serum samples were submitted for a microscopic serum-agglutination test (MAT). An epidemiological questionnaire was performed at each farm visited to characterize the management practices and study the risk factors associated with the presence or absence of Leptospira spp. To perform geoprocessing, the geographical coordinates of each farm were recorded with a Global Positioning System (GPS), which were then used to create a map. The apparent prevalence of bovine leptospirosis in the herds was the parameter used to generate the final risk map. The apparent prevalences of seropositivity in the herds and animals in Paraná state were 54.28%(95%CI:52.05- 56.51) and 37.70%(95%CI:34.54-40.86), respectively. Multiple logistic regression analysis revealed that the risk factors associated with leptospirosis due to any serovar were the rental of grazing areas [OR=1.91(1.36-2.68)], presence of horses [OR=1.59(1.28-1.97)], presence of > 20 females ? 24 months of age [OR=2.25(1.46-3.49)], presence of > 49 bovines [OR=2.78(1.82-4.26)], purchase of animals for reproduction [OR=1.96(1.59-2.41)] and presence of calving pens [OR=1.32(1.04-1.68)]. Risk factors for leptospirosis due specifically to serovar Hardjo were the presence of > 49 bovines [OR=3.05(1.94-4.80)], presence of > 20 females ? 24 months [OR=2.38(1.50-3.79)], presence of horses [OR=1.87(1.45-2.43)], purchase of animals for reproduction [OR=2.14(1.68-2.72)] and rental of grazing areas [OR=2.22(1.54-3.21)]. Geographically, seropositivity to Leptospira spp by MAT identified the regions North/Northwest and Southwest in the state as the areas with a higher risk of disease occurrence.

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Prevalence and associated risk factors for bovine brucellosis in the State of Pernambuco, Brazil

Semina Ciências Agrárias ◽

10.5433/1679-0359.2016v37n5supl2p3413 ◽

2016 ◽

Vol 37 (5Supl2) ◽

pp. 3413

Author(s):

Erivânia Camelo de Almeida ◽

Aderaldo Alexandrino Freitas ◽

Késia Alcântara Queiroz Pontual ◽

Marcília Maria Alves Souza ◽

Marcos Amaku ◽

...

Keyword(s):

Risk Factors ◽

Protective Factor ◽

Complement Fixation Test ◽

Animal Husbandry ◽

The State ◽

Prevalence Rates ◽

Bovine Brucellosis ◽

Serum Samples ◽

Associated Risk Factors ◽

Positive Animal

This study was conducted to characterize the epidemiology of bovine brucellosis in the state of Pernambuco, Brazil. The state was divided into three regions, and in each region, approximately 300 properties were randomly sampled. From these selected properties, a pre-established number of animals were randomly selected and blood serum samples were obtained. A total of 3,901 animals were selected from 900 properties. For each selected property, an epidemiological questionnaire was administered to assess the type of farming, the animal husbandry practices and the sanitary practices that could be associated with the presence of brucellosis infection. The testing protocol consisted of screening the samples with a buffered acidified plate antigen test and retesting the positive samples with a complement fixation test (CF). One positive animal was enough to define an infected herd. The prevalence rates of infected herds and animals in the state were 4.5% [3.2; 6.4%] and 1.4% [0.7; 2.7%], respectively. By region, the prevalence rates of infected herds and animals, respectively, were as follows: Zona da Mata, 3.3% [1.8; 6.1%] and 1.7% [0.5; 3.0%]; Agreste, 7.4% [4.9; 10.9%] and 1.9% [0.8; 3.0%]; and Sertão, 1.3% [0.5; 3.5%] and 0.7% [0.0; 1.6%]. Flooded pastures (OR = 2.86 [1.37; 6.42]) and the presence of 13 or more females in the herd (3rd quartile) (OR = 2.65 [1.19; 5.89]) were identified as risk factors. The existence of veterinary care emerged as a protective factor against bovine brucellosis in the state of Pernambuco (OR = 0.24 [0.10; 0.58]).

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Herd-level risk factors for bovine tuberculosis in French cattle herds

Preventive Veterinary Medicine ◽

10.1016/j.prevetmed.2016.07.006 ◽

2016 ◽

Vol 131 ◽

pp. 31-40 ◽

Cited By ~ 4

Author(s):

Maud Marsot ◽

Marina Béral ◽

Axelle Scoizec ◽

Yoann Mathevon ◽

Benoit Durand ◽

...

Keyword(s):

Risk Factors ◽

Bovine Tuberculosis ◽

Herd Level ◽

Cattle Herds

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Herd-level bovine tuberculosis risk factors: assessing the role of low-level badger population disturbance

Scientific Reports ◽

10.1038/srep13062 ◽

2015 ◽

Vol 5 (1) ◽

Cited By ~ 19

Author(s):

David M. Wright ◽

Neil Reid ◽

W. Ian Montgomery ◽

Adrian R. Allen ◽

Robin A. Skuce ◽

...

Keyword(s):

Risk Factors ◽

Bovine Tuberculosis ◽

Herd Level ◽

Low Level ◽

Tuberculosis Risk

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Bayesian estimation of herd-level prevalence and risk factors associated with BoHV-1 infection in cattle herds in the State of Paraíba, Brazil

Preventive Veterinary Medicine ◽

10.1016/j.prevetmed.2019.104705 ◽

2019 ◽

Vol 169 ◽

pp. 104705 ◽

Cited By ~ 1

Author(s):

Leíse Gomes Fernandes ◽

Matthew James Denwood ◽

Carolina de Sousa Américo Batista Santos ◽

Clebert José Alves ◽

Edviges Maristela Pituco ◽

...

Keyword(s):

Risk Factors ◽

Bayesian Estimation ◽

The State ◽

Herd Level ◽

Factors Associated ◽

Cattle Herds

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Incidence of Calf Morbidity and Its Predictors in North Shewa, Amhara, Ethiopia

Veterinary Medicine International ◽

10.1155/2020/6490710 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Rahma Mohammed ◽

Hailemariam Kefyalew ◽

Dawit Kassaye

Keyword(s):

Risk Factors ◽

Potential Risk ◽

Linear Models ◽

Livestock Production ◽

Economic Losses ◽

Chi Square ◽

Exact Test ◽

Mixed Crop ◽

The Face ◽

Potential Risk Factors

Calf morbidity is an important productivity factor that results in huge economic losses in the success of livestock production in Ethiopia. However, there is no robust information on its rate and its predictors in the mixed crop livestock production system as most studies are targeted to intensive dairy farms. A longitudinal study design was conducted from December 2018 to April 2019 in Siyadeber and Wayu districts of Amhara region, Ethiopia. A total of 135 apparently healthy calves were enrolled from randomly selected fifty-fifty households in three Kebeles of the district, namely, Gash-amba, Siyadeber, and Wale-deneba. A pretested structured questionnaire was used to collect data about the potential risk factors upon the face-to-face interview made with the owners. Calves were monitored for the incidence of morbidity in a weekly visit basis, and any clinical abnormalities were recorded on registries. The chi-square and Fisher’s exact test followed by Generalized Linear Models for binomial family extensions for risk estimate were run, and a p value <0.05 was considered statistically significant. In this study, the overall incidence rate of calf morbidity among under six months of age was 388 calves per 100,000 days of follow-up, with a cumulative incidence of 34.1% (95% CI: 26.1–42.7). Calf diarrhea, pneumonia, septicemia, dehydration, and navel ill were the encountered health problems consecutively. Among the potential risk factors, calves from Siyadeber Kebele (RR = 2.11, 95% CI: 1.13–3.94), calves housed with other livestock (RR = 2.05, 95% CI: 1.10–3.80), housed with their dam (RR = 1.92, 95% CI: 1.20–3.05), without bedding (RR = 1.89, 95% CI: 1.20–2.94), and calves whose dam age ranges from 5 to 8 years (RR = 1.87, 95% CI: 1.05–3.35) were found to be predictors of calf morbidity. In general, the high calf morbidity rates established in this study together with the alarming predictors of calf morbidity entail attention by the concerning bodies on proper management and improved health care so as to reduce the calf morbidity.

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Seroprevalence and Risk Factors Associated with Chlamydia abortus Infection in Sheep and Goats in Eastern Saudi Arabia

Pathogens ◽

10.3390/pathogens10040489 ◽

2021 ◽

Vol 10 (4) ◽

pp. 489

Author(s):

Mahmoud Fayez ◽

Ahmed Elmoslemany ◽

Mohammed Alorabi ◽

Mohamed Alkafafy ◽

Ibrahim Qasim ◽

...

Keyword(s):

Risk Factors ◽

Saudi Arabia ◽

Protective Factor ◽

Management Practices ◽

Eastern Province ◽

Cross Sectional ◽

Chlamydia Abortus ◽

Sheep And Goats ◽

Factors Associated ◽

Factor C

Chlamydia abortus (C. abortus) is intracellular, Gram-negative bacterium that cause enzootic abortion in sheep and goats. Information on C. abortus seroprevalence and flock management risk factors associated with C. abortus seropositivity in sheep and goats in Saudi Arabia are scarce. The objectives of this study were to (i) estimate the animal, flock, and within-flock seroprevalence of C. abortus among Eastern Province sheep and goat flocks and (ii) identify the flock management and animal risk factors associated with C. abortus seropositivity in Eastern Province, Saudi Arabia. A cross-sectional study with a two-stage sampling process was carried out in the Eastern Province, Saudi Arabia, between 2015 and 2016. A total of 1717 sheep and 1101 goat serum samples were collected from 21 sheep and 14 goat flocks, then were tested for C. abortus antibodies using a commercial ELISA Kit. In addition, vaginal swabs and aborted tissue samples were collected from sheep (n = 48) and goats (n = 15) with recent history of abortion for detection of C. abortuspmp gene using PCR. A questionnaire was constructed to collect information about flock management and animal risk factors possibly associated with C. abortus infection in sheep and goats. The true sheep and goat-level seroprevalences were 11.1% (95% CI: 9.7–12.7) and 10.6% (95% CI: 8.8–12.5), respectively. The true flock-level seroprevalence was 100% for both sheep and goats. However, the average within sheep and goat flocks true seroprevalences were 9.6% (95% CI: 1.8–22.9) and 9.3% (95% CI: 1.8–19.5), respectively. Multivariable logistic regression revealed that introduction of new sheep to the flocks (OR = 2.6; 95% CI: 1.5–4.4), type of breeding system (OR = 1.8; 95% CI: 1.0–3.4), flocks allowing females in (OR = 1.9; 95% CI: 1.1–3.3) or females out (OR = 2.2; 95% CI: 1.1–4.3), and sheep age 1.4–2.8 years (OR = 1.9; 95% CI: 1.3–2.9) were potential risk factors for C. abortus seropositivity in sheep flocks. However, in goat flocks, the introduction of new goats to the flocks (OR: 1.9; 95% CI: 1.2–3.0) was identified as a risk factor, whereas good farm hygiene (OR: 0.3; 95% CI: 0.2–0.7) was identified as a protective factor. C. abortus pmp gene was identified in 45 (93.8%) and 15 (100%) of samples collected from sheep and goats, respectively. These results could be used to implement efficient management measures to prevent and control C. abortus infection in sheep and goats in Eastern Province, Saudi Arabia, but also could be used to reduce the risk of C. abortus infection in sheep and goat flocks with similar management practices in other regions.

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Risk factors and true prevalence of bovine tuberculosis in Bangladesh

PLoS ONE ◽

10.1371/journal.pone.0247838 ◽

2021 ◽

Vol 16 (2) ◽

pp. e0247838

Author(s):

Md. Nazimul Islam ◽

Mohammad Kamruzzaman Khan ◽

Mohammad Ferdousur Rahman Khan ◽

Polychronis Kostoulas ◽

A. K. M. Anisur Rahman ◽

...

Keyword(s):

Risk Factors ◽

Bovine Tuberculosis ◽

Critical Threshold ◽

Bayesian Hierarchical ◽

Herd Level ◽

Control Programs ◽

True Prevalence ◽

Apparent Prevalence ◽

Risk Factor Data ◽

Factor Data

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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