E-ISSN 2983-757X
 

Original Article
Online Published: 09 Aug 2024
 


Odongo, Mahacla O., Bebora, Lilly C., Gathumbi, James K., Aboge, Gabriel O., Waiboci, Lillian W., Koyie, Stephen L., Erume, Joseph: Serological and molecular prevalence of brucellosis in livestock of Narok County, Kenya

ABSTRACT

Aims:

The study aimed to determine the serological and molecular prevalence of livestock brucellosis in Narok County, Kenya.

Methods:

An extensive cross-sectional study covering 5 sub-counties and 13 wards in Narok County was conducted between December 2019 and December 2022. A total of 762 serum samples from bovines (254), ovines (250), and caprines (258) were tested for Brucella antibodies using serological tests [Rose bengal plate test (RBPT), Indirect enzyme-linked immunosorbent assay (i-ELISA), and Competitive ELISA (c-ELISA)], and 184 seropositive and seronegative serum samples were analyzed for Brucella spp. DNA using conventional PCR

Results:

The study revealed variable brucellosis detection rates across species and diagnostic tests. RBPT detected brucellosis in 21.3% bovines, 0% ovines, and 0.4% caprines, with an overall positivity rate of 7.23%. In contrast, c-ELISA detected 28.35% bovines, 2.4% ovines, and 0.4% caprines as positive, resulting in a total positivity rate of 10.37%; and i-ELISA detected 25.6% positive bovines, with no positive cases in ovines or caprines, leading to an overall rate of 8.53%. Combining all three tests (RBPT, i-ELISA, and c-ELISA) resulted in a maximum positivity rate of 11.42% in bovines. Overall seropositivity was 45.3% in bovines, 2.4% in ovines, and 0.78% in caprines, averaging 16.14% across all species. Among the tests, c-ELISA had the highest accuracy. Herd-level seropositivity was highest in bovines (90.3%), particularly in herds with a history of abortion (53.85%). The highest prevalence in sub-counties was in Narok South (58.3%). Molecular testing showed a 1.63% prevalence, with Brucella abortus detected in two seropositive bovines and one seronegative caprine.

Conclusion:

The study revealed high brucellosis rates in bovines, with lower rates in ovines and caprines. It underscored the necessity of using multiple diagnostic tests to avoid misestimation of prevalence, as relying on a single test can lead to inaccuracies. The results imply that the actual prevalence might be lower than initially reported and emphasize the need for targeted control measures, particularly in bovine populations.

Introduction

Brucellosis, a globally distributed zoonotic disease caused by Brucella species, presents significant socioeconomic and public health challenges to humanity [1,2]. Narok County has a substantial livestock population [3]. In Narok County, livestock are raised in both pastoral systems characterized by large herds of cattle and small ruminant flocks, and agro-pastoral systems in which livestock herds and flocks are usually in the range of 2–10 animals. In both production systems, natural breeding is practiced whereby one bull or ram is shared by all the females in the herd or flock. In this country, the success of dairy and beef value chains is threatened by diseases such as brucellosis. This county also has well-established wildlife conservancies including the famous Maasai Mara Game Reserve and increased mixed farming (agro-pastoral) in areas further away from the game reserves [4]. Moreover, some of the areas with high cultural and economic dependence on livestock are close to wildlife-protected areas. During the dry season, livestock and wildlife share pastures in some of these areas. The county has no brucellosis control program and vaccination against brucellosis has not been carried out. Moreover, knowledge of the epidemiology of these pathogens is limited in livestock, wildlife, and human populations in this county due to a lack of prioritization, poor surveillance systems, and diagnostic capacities [4].
Previous studies on brucellosis in Narok County have reported variable seroprevalences in both humans (28%) and livestock (12.44%–36.9%) [5,6,7]. Since these studies were undertaken in a few regions of Narok County, the reported seroprevalence rates may not be a true reflection of the situation in the whole county but do indicate the presence of brucellosis in livestock of this county. This study aimed to fill this gap by conducting a thorough assessment of the serological and molecular prevalence of brucellosis among livestock populations and its geographical distribution within Narok County, Kenya.

Materials and Methods

Study area and design

A cross-sectional study was conducted in 13 administrative wards within 5 sub-counties of Narok County (Fig. 1) from December 2019 to December 2022. 49 flocks (25 ovine and 24 caprine) and 31 bovine herds were randomly selected with guidance from the County Veterinary Staff.
Figure 1.
Narok County map (A) showing study sites (sub-counties and Wards-red stars).

Sample size calculation

The sample size was calculated according to [8] formula, considering brucellosis prevalence ranges in Kenya [9].
Sample size, n=[Z2 × p × (1-p)] /d2
where n=sample size
d=Precision of prevalence
p=Expected prevalence
Z=1.96 (confidence interval)
Therefore, the calculated minimum sample sizes were: 215 bovine, 182 ovine, and 247 caprine.

Inclusion criteria

Households with bovine herds and small ruminant flocks were included, with herds and flocks randomly selected. All adult animals were tested in small herds or flocks (≤ 10 animals); in herd/flocks with more than 10 animals, at least 20 animals were randomly tested, prioritizing females that had given birth. All animals tested had not been vaccinated. A total of 762 livestock (254 bovines, 250 ovines, and 258 caprines) were used in the study (Table 1).
Table 1.
Sample size by livestock species in Narok County.
Sub-County Ward Animal species
Bovine Ovine Caprine
Narok West Siana 6 0 10
Mara 65 0 0
Narok South Ololulunga 22 30 20
Majimoto/Naroosura 29 11 9
Narok East Mosiro 38 10 5
Suswa 13 5 10
Narok North Narok Town 21 54 56
Olorropil (Kasiriri) 7 27 5
Nkareta 0 2 4
Melili 2 6 0
Transmara West Lolgorian Central 12 65 66
Kilgoris Central 13 21 42
Kimintet 26 17 27
Total 254 250 258

Blood sample collection

Certified veterinary professionals and skilled laboratory technicians from the University of Nairobi and County Satellite Laboratories collected blood samples. Trained animal handlers assisted during sampling. Five to ten milliliters of blood was drawn from the jugular vein of each animal using aseptic methods and placed in 10-milliliter plain vacutainers. Before testing for Brucella antibodies, serum samples were stored in 2 ml cryovials at −20°C, at the Microbiology Laboratory at the University of Nairobi. They were then moved to a −80°C freezer for long-term storage.

Serological Tests

Rose bengal plate test (RBPT)

This test was conducted for bovine samples as per the OIE manual [10]. A modified RBPT method [11] was used for ovine and caprine samples. Any amount of agglutination was scored positive regardless of the degree. All plates showing no evidence of agglutination were scored negative. Every plate test included a positive and negative serum sample as controls.

Indirect enzyme-linked immunosorbent assay (i-ELISA)

Brucellosis i-ELISA kits (Elabscience® Biotechnology Inc., 2018-2019) were used following the manufacturer’s instructions. Results were determined on the basis of optical density (OD) at 450 nm of both test and control sera. Positive and negative control sera were supplied together with the other reagents in the ELISA kit. An OD ≥ 0.38 indicated a positive result, while an OD < 0.38 indicated a negative result.

Competitive ELISA (c-ELISA)

This test was conducted using COMPELISA kits (APHA Scientific) for all samples. A plate was considered valid if the mean OD of the 6 negative controls at 450 nm was >0.700 and the mean OD of the 6 positive controls was <0.100. The difference between the positive and negative controls’ OD had to be ≥0.300. The cut-off was set at 60% of the mean OD of the four conjugate control wells [12]. OD values less or equal to the cut-off were taken as positive, while values above were taken as negative. Positive and negative control sera were supplied together with the COMPELISA kit.

DNA extraction and purification

Genomic DNA from 184 serum samples comprising 104 bovine, 43 ovine, and 37 caprine (86 seropositive and 98 seronegative animals) was extracted using QIAamp® DNA Blood Mini Kit (Qiagen, Germany) according to the manufacturer’s guidelines. DNA quality and quantity were checked using a NanoDrop™ Spectrophotometer.

Conventional PCR for Brucella genus

This was conducted using B4/B5 primers (B4- 5’-TGGCTCGGTTGCCAATATCAA-3’ and B5- 5’-CGCGCTTGCCTTTCAGGTCTG-3’), targeting the bcsp31 gene as previously described [13]. PCR reactions were performed in a Veriti 96 wells Thermal Cycler (Applied Biosystems) with the following conditions: initial denaturation at 95°C for 5 minutes, 40 cycles of amplification (denaturation at 95°C for 30 seconds, annealing at 60°C for 30 seconds, and elongation at 72°C for 60 seconds), and final elongation at 72°C for 10 minutes. The amplified product (223 bp) was electrophoresed in 2% agarose gel stained with ethidium bromide and imaged using a UVP GelMax 125 Imager. Escherichia coli ATCC 25922 DNA from the stock cultures of the Department of Veterinary Pathology, Microbiology and Parasitology, University of Nairobi, was used as a negative control, whereas Brucella abortus used as a positive control was donated by Dr. James Akoko of ILRI Laboratories, Kenya.

Species-specific PCR

Detection of Brucella species was done using UF1/UR1 species-specific primers (UF1: 5’-GGCTATCGGCTGGGAAAGG-3’ and UR1: 5’-CCTTCCGAAAAGTCCCCC-3’) as previously described [14]. PCR reactions were performed under the following conditions: initial denaturation at 95°C for 5 minutes, 40 cycles of amplification (denaturation at 94°C for 30 seconds, annealing at 52°C for 30 seconds, and elongation at 72°C for 45 seconds), and a final elongation at 72°C for 10 minutes.

Gel electrophoresis of amplified Brucella DNA

PCR-amplified DNA samples plus a 100-bp DNA ladder were electrophoresed in 2% agarose gel at 100 V for 60 minutes. Gels were imaged using a UVP GelMax 125 Imager and results were interpreted by comparing the presence and size of the PCR products with the control. The control used was B. abortus DNA donated by Dr. James Akoko of ILRI Laboratories, Kenya.

Statistical analysis

Data from serological and molecular tests were entered into a spreadsheet (Microsoft Excel 2010) and analyzed using chi-square tests and logistic regression with STATA® version 16 and Epitools applications [15]. Sensitivity, specificity, concordance percentage, and agreement (kappa statistic) between tests were assessed [16,17]. County, sub-county, individual animal species, herd/flock, and test prevalence rates were calculated based on serological and PCR analysis results.

Results

The results indicated varying positivity rates across different animal species and serological tests (Table 2).
Table 2.
Brucellosis seropositivity by the 3 serological tests in livestock of Narok County.
Test Category Number positive % positive
Bovine
(n=254)
Ovine
(n=250)
Caprine
(n=258)
All 3 species Bovine Ovine Caprine All 3 species
RBPT overall 54 0 1 55 21.3 0 0.4 7.23
c-ELISA overall 72 6 1 79 28.35 2.4 0.4 10.37
i-ELISA overall 65 0 0 65 25.6 0 0 8.53
RBPT plus i-ELISA 8 0 0 8 3.15 0 0 1.05
RBPT plus c-ELISA 5 0 0 5 1.97 0 0 0.66
i-ELISA plus c-ELISA 7 0 0 7 2.76 0 0 0.92
RBPT, i-ELISA plus c-ELISA 29 0 0 29 11.42 0 0 3.81
RBPT only 13 0 1 14 5.12 0 0.4 1.84
i-ELISA only 22 0 0 22 6.66 0 0 2.9
c-ELISA only 32 6 1 39 12.6 2.4 0.4 5.12
Overall seropositivity 115 6 2 123 45.3 2.4 0.78 16.14

Individual test positivity rates

RBPT identified brucellosis in 21.3% of bovines (54/254), with no positive cases in ovines and a single positive case in caprines (0.4%) (Table 2). The overall positivity rate across all species was 7.23%; c-ELISA had a higher detection rate, with 28.35% positivity in bovines (72/254), 2.4% in ovines (6/250), and 0.4% in caprines (1/258). The total positivity across all species was 10.37%, and i-ELISA detected 25.6% of bovines as positive (65/254) but did not identify any positive cases in ovines or caprines. The overall positivity rate was 8.53% (Table 2).

Combined test positivity rates

RBPT and i-ELISA together identified 3.15% of bovines (8/254) as positive, with no positive cases in ovines and caprines. The combined positivity rate for all species was 1.05%; RBPT and c-ELISA detected 1.97% positivity in bovines (5/254), with no positive cases in other species. The overall positivity was 0.66%; and i-ELISA and c-ELISA together identified 2.76% of bovines (7/254) as positive, with no positive cases in ovines or caprines. The overall positivity rate across all species was 0.92%. All three tests (RBPT, i-ELISA, and c-ELISA) identified 11.42% of bovines (29/254) as positive, with no positive cases in ovines or caprines. The total positivity rate across all species was 3.81% (Table 2).

Single test positivity rates

RBPT only detected 5.12% of bovines (13 out of 254), with no positive cases in ovines and one positive case in caprines (0.4%). The overall positivity was 1.84%; i-ELISA only detected 6.66% of bovines (22 out of 254), with no positive cases in ovines or caprines. The overall positivity was 2.9%; and c-ELISA only had the highest single-test detection rate, identifying 12.6% of bovines (32 out of 254), 2.4% of ovines (6 out of 250), and 0.4% of caprines (1 out of 258). The overall positivity rate was 5.12%. The total or cumulative seropositivity across all tests showed that 45.3% of bovines (115/254), 2.4% of ovines (6/250), and 0.78% of caprines (2/258) were positive for brucellosis. The overall seropositivity across all species was 16.14% (Table 2).

Sensitivity, specificity, and accuracy of the three serological Tests

Sensitivities, specificities, and accuracy of the three serological tests were determined using either c-ELISA or i-ELISA as diagnostic reference tests. Test sensitivities were 47.54%–56.86% for RBPT, 47.54% for i-ELISA, and 56.86% for c-ELISA, while the specificities were 84.24%–93.6% for RBPT, 88.6% for i-ELISA, and 93.6% for c-ELISA. (Table 3).
Table 3.
Serological Test Specificity and Sensitivity, PPV, NPV, and Accuracy for livestock brucellosis (Narok County).
Test Gold standard Test Sensitivity Specificity PPV NPV Accuracy
RBPT c-ELISA 47.54
(36.6–60.73)
93.26
(88.86–96.37)
85.39
(76.46–91.32)
68.22
(62.76–73.22)
72.15
(66.62–77.94)
RBPT i-ELISA 56.86
(42.25–70.65)
93.6
(89.3–96.55)
88.03
(80.49–92.91)
72.38
65.61–78.21)
76.96
(71.28–81.99)
i-ELISA c-ELISA 47.54
(34.60–60.73)
88.60
(83.25–92.72)
77.55
(68.27–84.72)
67.10
(61.50–72.25)
70.0
(63.96–75.57)
c-ELISA i-ELISA 56.86
(42.25–70.65)
84.24
(78.48–88.06)
74.92
(66.74–81.64)
70.22
(63.11–76.47)
71.84
(65.87–77.28)

Herd level seropositivity of brucellosis

Herd-level seropositivirty for bovine herds was 90.3%, while it was 16.0% (n=4/25) for ovine, and 8.3% (n=2/24) for caprine flocks (Table 4). Bovine herds with a history of abortion had significantly higher seropositivity (53.85%; n=91/169) compared to those without (28.24%; n=24/85) (p=0.0001) (Table 5). All seropositive caprine flocks had a history of abortion, while seropositivity in ovine flocks was not associated with the history of abortion (Table 5).
Table 4.
Herd/Flock seroprevalence of livestock brucellosis in Narok County.
Attribute Bovine Ovine Caprine
No of Herds/Flocks 31 25 24
No of Herds/Flocks positive 28 4 1
No of Herds/flocks negative 3 21 23
% of Herds/Flocks positive 90.3 28.3 4.17
Table 5.
Brucellosis seropositivity of livestock versus abortion history (Narok County).
Attribute Bovine Ovine Caprine
Number of Herds/Flocks with a history of abortion 16 8 9
Number of Herds/Flocks without a history of abortion 15 17 15
Number of Herds/Flocks positive in those with a history of abortion 15 1 2
Number of Herds/Flocks positive in those without a history of abortion 13 3 0
Number of animals in flocks with abortion history 169 65 62
Number of animals in flocks without abortion history 85 185 196
% positivity in Herds/Flocks with a history of abortion 93.8 12.5 22.2
% positivity in Herds/Flocks without a history of abortion 86.7 17.65 0
% of animals +ve in Herds/Flocks with Abortion History 53.85 1.54 3.2
% of animals +ve in Herds/Flocks without Abortion History 28.24 0.54 0

Sub-county seropositivity

All 5 sub-counties of Narok had herds with seropositive bovines, and seroprevalence was highest in Narok South (58.3%; n=60), Narok East (56.9%; n=51), and Narok West (49.3%; n=71), and moderate in Narok North (23.8%; n=21) and Transmara West (21.6%; n=51) (Table 6). Small ruminant brucellosis was low (0–7.32%), with seropositive animals in all sub-counties except Narok West (Table 6).
Table 6.
Seroprevalence of livestock brucellosis in Sub-county wards of Narok County.
Sub-county Ward Number of Samples Number positive % positive
Bovine Ovine Caprine Bovine Ovine Caprine Bovine Ovine Caprine All the 3 Animal species
Narok West Siana 6 0 10 3 0 0 50 0 0 18.8
Mara 65 30 20 32 3 0 49.2 10 0 47.83
Narok East Mosiro 38 11 9 24 0 1 63.2 0 11.1 43.1
Suswa 13 10 5 5 0 1 38.5 0 20 21.43
Narok South Ololulunga 22 5 10 18 0 0 58.1 0 0 39.13
Majimoto/
Naroosura
29 54 56 17 1 0 58.6 1.9 0 12.95
Narok North Narok Town 21 27 5 2 1 0 9.5 3.7 0 6.82
Olorropil 7 2 4 3 0 0 42.9 0 0 23.08
Melili 2 6 0 0 0 0 0 0 0 0.0
Nkareta 0 2 4 0 0 0 0 0 0 0.0
Transmara West Lolgorian Central 12 65 66 2 0 0 16.7 0 0 1.4
Kilgoris Central 13 21 42 1 0 0 7.7 0 0 1.32
Kimintet 26 17 27 8 1 0 30.8 5.9 0 12.9
Total 254 250 258 115 6 2 33.53 1.35 1.62 16.14

Molecular prevalence of livestock brucellosis

The overall molecular prevalence of livestock brucellosis using the genus-specific bcsp31 primer (B4/B5) was 1.63% (n=3/184). Molecular prevalences at the animal species level were 1.92% (n=2/104) for bovines, 2.7% (n=1/37) for caprines, and 0.0% (n=0/43) for ovines (Table 7 and Fig. 2). The genus-specific bcsp31 (B4/B5) primer amplified a 223 bp DNA fragment (Fig. 2). The PCR-positive caprine was seronegative in all three serological tests and came from a flock with no history of abortion (Table 8). The two PCR-positive bovines were seropositive in all the 3 serological tests and belonged to herds with abortion history (Table 8. Brucella abortus was detected in these two bovines (Fig. 3).
Table 7.
Overall Brucella PCR results for livestock in Narok County.
No of Samples analysed by PCR No of samples seropositive No of the samples seronegative No of the samples were positive in Brucella PCR % of samples positive in Brucella PCR
Bovine Ovine Caprine Bovine Ovine Caprine Bovine Ovine Caprine Bovine Ovine Caprine Bovine Ovine Caprine
104 43 37 78 6 2 26 37 35 2 0 1 1.92 0 2.7
Table 8.
Positivity profiles of livestock serum samples in the 3 serological tests and conventional Brucella PCR.
Animal species Herd/Flock/
Animal ID
Ward Sub county Brucella PCR
Genus- specific
(B4/B5))
B. abortus
(UF1/UR1)
B. melitensis
(UF1/UR1)
Bovine KjLL B1 Keekonyokie Kajiado West +
Bovine WB6 Mara Narok West + +
Bovine YB6 Mara Narok West + +
Ovine KjUS4 Matapato North Kajiado Central +
Caprine TmIG1 Lolgorian Central Transmara West +
Figure 2.
Brucella DNA amplicon visualization in 2% agarose gel electrophoresis, following Genus-specific PCR using B4/B5 primers. Lane M: 100-bp DNA molecular marker (Bioline-Ladder); lane1-15 are DNA samples; Lane 4=one of the positive sample (YB6).
Figure 3.
Brucella abortus DNA visualization in 2% agarose gel electrophoresis following amplification with Species-specific UFI/UF2-PCR primers. Lane M: 100-bp DNA molecular marker; lane1: TmI-G1; lane 2: KJU-S4; lane 3: Brucella arbutus (positive control); lane 4: KJLLB; lane 5: WB6; lane 6: YB6; Lane 7 and 8: Negative Control.

Discussion

The study revealed varying positivity rates in livestock species as well as serological tests, with bovines showing the highest positivity across all serological tests. Competitive ELISA (c-ELISA) demonstrated the highest seropositivity (28.35%), followed by the indirect ELISA (i-ELISA) at 25.6% and the RBPT at 21.3%. When combining all three tests (RBPT, i-ELISA, and c-ELISA), the seropositivity rate in bovines decreased to 11.42%, suggesting a more accurate estimate of true seroprevalence, as opposed to the 45.3% observed using individual tests. This discrepancy highlights the potential for overestimation of prevalence rates when relying solely on individual tests due to differences in sensitivity and specificity.
In contrast, ovines had very low seropositivity, with 0% positivity in both RBPT and i-ELISA, and only 2.4% in c-ELISA, indicating a low prevalence of Brucella antibodies. Caprines also showed low seropositivity, with only one sample (0.4%) positive in RBPT and c-ELISA, and 0% in i-ELISA. These findings suggest a low prevalence of Brucella antibodies in these species, potentially due to lower sensitivity of the tests or truly low infection rates.
RBPT had the lowest overall positivity rate compared to ELISA methods, likely due to its higher specificity, which minimizes false positives. The c-ELISA, with the highest overall positivity rate, was effective for confirming Brucella antibodies, particularly in bovines, while i-ELISA showed intermediate positivity rates. The combination of tests generally resulted in lower positivity rates, as observed with RBPT plus i-ELISA (3.15%), RBPT plus c-ELISA (1.97%), and i-ELISA plus c-ELISA (2.76%) in bovines, reflecting higher diagnostic confidence and possibly the true prevalence.
The study’s findings align with previous research, showing an overall or cumulative apparent animal brucellosis seroprevalence of 16.14%. This rate is comparable to earlier findings in Kenya [18, 19] but varies significantly from other regions, both within East Africa and globally [9,20,21,22,23,24]. The data indicated a significant prevalence of brucellosis among bovines in Narok County, with higher seroprevalence in bovines compared to small ruminants (0.75%–2.4%). This could be attributed to different management practices, as bovines and small ruminants are typically kept separately, with limited interaction that could facilitate cross-species transmission. Additionally, bovines may act as primary reservoirs of Brucella species due to prolonged exposure and differing infection dynamics compared to small ruminants.
Serological tests showed varying sensitivities and specificities, with c-ELISA and RBPT being more reliable for screening and confirmation of brucellosis. PCR analysis, although revealing low detection rates (1.63%), confirmed the presence of Brucella spp. DNA, further corroborating the serological findings. Notably, the PCR identified B. abortus in bovine samples, reinforcing the species’ role as a primary reservoir.
The study highlighted significant regional variations in brucellosis prevalence within Narok County, influenced by ecological factors, management practices, and livestock movement patterns. Herd-level seroprevalence in bovines was notably high, particularly in areas with significant livestock markets and communal grazing, while small ruminants exhibited low individual seroprevalence but moderate flock rates. The association between brucellosis seropositivity and a history of abortion in bovines underscores the disease’s impact on reproductive health and productivity.

Conclusion

The study indicated a high burden of brucellosis in bovines but either a true low prevalence in ovines and caprines, or limitations in test sensitivity for these species. The study emphasized the importance of using multiple diagnostic tests to accurately estimate brucellosis prevalence, as reliance on single tests may lead to misestimations due to cross-reactions and varying test sensitivities. The findings underscore the need for targeted intervention measures, particularly in bovine populations, and suggest that the true prevalence of brucellosis may be lower than initially estimated based on individual test results. The limitations of the study, including the lack of detailed data on animal characteristics and the absence of a gold reference test, highlight the need for further research to validate these findings and improve disease control strategies.

Acknowledgments

The authors are very much grateful to all the livestock owners in Narok County for allowing their animals to be used in the study, to the then Narok County Director of Veterinary Services, Dr. Benard Njau, and the current one, Dr. Gideon Nkeyasha, and Dr. Stephen Leshan Koyie, for providing valuable guidance and laboratory resources during the study and Alfred Mainga, Ephantus Nyaga, George Dimbu, Saitabau Sena, and Hellen Naanyu for their technical inputs during sample collection and analysis. The authors are also grateful to National Research Fund (NRF) Grant no. 65/MoEST, Kenya, for funding this study.

Conflicts of interest

The authors declare no competing interest.

Author contributions

Mahacla Omung’ala Odongo designed the study, collected serum samples, tested the samples, analyzed data, drafted, and wrote the manuscript; Lilly Caroline Bebora, sourced research funds, designed the study and guided its conduct, and critically reviewed the manuscript; Joseph Erume sourced the research funds and critically reviewed the manuscript; Lilian Wangechi Waiboci sourced research funds and critically reviewed the manuscript; James Kinuthia Gathumbi guided the research work and critically reviewed the manuscript; Gabriel Oluga Aboge guided the molecular aspect of the study and critically reviewed the manuscript; and Stephen Leshan Koyie guided and participated in the collection of serum samples in the field.

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How to Cite this Article
Pubmed Style

Odongo MO, Bebora LC, Gathumbi JK, Aboge GO, Waiboci LW, Erume J. Serological and Molecular prevalence of brucellosis in livestock of Narok County, Kenya. J Res Vet Sci. 2024; 3(4): 103-111. doi:10.5455/JRVS.20240620081931


Web Style

Odongo MO, Bebora LC, Gathumbi JK, Aboge GO, Waiboci LW, Erume J. Serological and Molecular prevalence of brucellosis in livestock of Narok County, Kenya. https://www.wisdomgale.com/jrvs/?mno=206407 [Access: April 02, 2025]. doi:10.5455/JRVS.20240620081931


AMA (American Medical Association) Style

Odongo MO, Bebora LC, Gathumbi JK, Aboge GO, Waiboci LW, Erume J. Serological and Molecular prevalence of brucellosis in livestock of Narok County, Kenya. J Res Vet Sci. 2024; 3(4): 103-111. doi:10.5455/JRVS.20240620081931



Vancouver/ICMJE Style

Odongo MO, Bebora LC, Gathumbi JK, Aboge GO, Waiboci LW, Erume J. Serological and Molecular prevalence of brucellosis in livestock of Narok County, Kenya. J Res Vet Sci. (2024), [cited April 02, 2025]; 3(4): 103-111. doi:10.5455/JRVS.20240620081931



Harvard Style

Odongo, M. O., Bebora, . L. C., Gathumbi, . J. K., Aboge, . G. O., Waiboci, . L. W. & Erume, . J. (2024) Serological and Molecular prevalence of brucellosis in livestock of Narok County, Kenya. J Res Vet Sci, 3 (4), 103-111. doi:10.5455/JRVS.20240620081931



Turabian Style

Odongo, Mahacla Omungala, Lilly Caroline Bebora, James Kinuthia Gathumbi, Gabriel Oluga Aboge, Lillian Wangechi Waiboci, and Joseph Erume. 2024. Serological and Molecular prevalence of brucellosis in livestock of Narok County, Kenya. Journal of Research in Veterinary Sciences, 3 (4), 103-111. doi:10.5455/JRVS.20240620081931



Chicago Style

Odongo, Mahacla Omungala, Lilly Caroline Bebora, James Kinuthia Gathumbi, Gabriel Oluga Aboge, Lillian Wangechi Waiboci, and Joseph Erume. "Serological and Molecular prevalence of brucellosis in livestock of Narok County, Kenya." Journal of Research in Veterinary Sciences 3 (2024), 103-111. doi:10.5455/JRVS.20240620081931



MLA (The Modern Language Association) Style

Odongo, Mahacla Omungala, Lilly Caroline Bebora, James Kinuthia Gathumbi, Gabriel Oluga Aboge, Lillian Wangechi Waiboci, and Joseph Erume. "Serological and Molecular prevalence of brucellosis in livestock of Narok County, Kenya." Journal of Research in Veterinary Sciences 3.4 (2024), 103-111. Print. doi:10.5455/JRVS.20240620081931



APA (American Psychological Association) Style

Odongo, M. O., Bebora, . L. C., Gathumbi, . J. K., Aboge, . G. O., Waiboci, . L. W. & Erume, . J. (2024) Serological and Molecular prevalence of brucellosis in livestock of Narok County, Kenya. Journal of Research in Veterinary Sciences, 3 (4), 103-111. doi:10.5455/JRVS.20240620081931