Seroprevalence and related risk factors of Brucella spp. in livestock and humans in Garbatula subcounty, Isiolo county, Kenya.
Journal
PLoS neglected tropical diseases
ISSN: 1935-2735
Titre abrégé: PLoS Negl Trop Dis
Pays: United States
ID NLM: 101291488
Informations de publication
Date de publication:
Oct 2023
Oct 2023
Historique:
received:
09
05
2023
accepted:
26
09
2023
revised:
26
10
2023
medline:
30
10
2023
pubmed:
16
10
2023
entrez:
16
10
2023
Statut:
epublish
Résumé
Brucellosis is a neglected zoonotic disease that affects both animals and humans, causing debilitating illness in humans and socio-economic losses in livestock-keeping households globally. The disease is endemic in many developing countries, including Kenya, but measures to prevent and control the disease are often inadequate among high-risk populations. This study aimed to investigate the human and livestock seroprevalence of brucellosis and associated risk factors of Brucella spp. in a pastoralist region of northern Kenya. A cross-sectional survey was conducted using a two-stage cluster sampling method to select households, livestock, and humans for sampling. Blood samples were collected from 683 humans and 2157 animals, and Brucella immunoglobulin G (IgG) antibodies were detected using enzyme-linked immunosorbent assays. A structured questionnaire was used to collect data on potential risk factors associated with human and animal exposures. Risk factors associated with Brucella spp. exposures in humans and livestock were identified using Multivariate logistic regression. The results indicated an overall livestock Brucella spp. seroprevalence of 10.4% (95% Confidence Interval (CI): 9.2-11.7). Camels had the highest exposure rates at 19.6% (95% CI: 12.4-27.3), followed by goats at 13.2% (95% CI: 9.3-17.1), cattle at 13.1% (95% CI: 11.1-15.3) and sheep at 5.4% (95% CI: 4.0-6.9). The herd-level seroprevalence was 51.7% (95% CI: 47.9-55.7). Adult animals (Adjusted Odds Ratio (aOR) = 2.3, CI: 1.3-4.0), female animals (aOR = 1.7, CI: 1.1-2.6), and large herd sizes (aOR = 2.3, CI: 1.3-4.0) were significantly associated with anti-brucella antibody detection while sheep had significantly lower odds of Brucella spp. exposure compared to cattle (aOR = 1.3, CI: 0.8-2.1) and camels (aOR = 2.4, CI: 1.2-4.8). Human individual and household seroprevalences were 54.0% (95% CI: 50.2-58.0) and 86.4% (95% CI: 84.0-89.0), respectively. Significant risk factors associated with human seropositivity included being male (aOR = 2.1, CI:1.3-3.2), residing in Sericho ward (aOR = 1.6, CI:1.1-2.5) and having no formal education (aOR = 3.0, CI:1.5-5.9). There was a strong correlation between human seropositivity and herd exposure (aOR = 1.6, CI:1.2-2.3). The study provides evidence of high human and livestock exposures to Brucella spp. and identifies important risk factors associated with disease spread. These findings emphasize the need for targeted prevention and control measures to curb the spread of brucellosis and implement a One Health surveillance to ensure early detection of the disease in Isiolo County, Northern Kenya.
Sections du résumé
BACKGROUND
BACKGROUND
Brucellosis is a neglected zoonotic disease that affects both animals and humans, causing debilitating illness in humans and socio-economic losses in livestock-keeping households globally. The disease is endemic in many developing countries, including Kenya, but measures to prevent and control the disease are often inadequate among high-risk populations. This study aimed to investigate the human and livestock seroprevalence of brucellosis and associated risk factors of Brucella spp. in a pastoralist region of northern Kenya.
METHODS
METHODS
A cross-sectional survey was conducted using a two-stage cluster sampling method to select households, livestock, and humans for sampling. Blood samples were collected from 683 humans and 2157 animals, and Brucella immunoglobulin G (IgG) antibodies were detected using enzyme-linked immunosorbent assays. A structured questionnaire was used to collect data on potential risk factors associated with human and animal exposures. Risk factors associated with Brucella spp. exposures in humans and livestock were identified using Multivariate logistic regression.
RESULTS
RESULTS
The results indicated an overall livestock Brucella spp. seroprevalence of 10.4% (95% Confidence Interval (CI): 9.2-11.7). Camels had the highest exposure rates at 19.6% (95% CI: 12.4-27.3), followed by goats at 13.2% (95% CI: 9.3-17.1), cattle at 13.1% (95% CI: 11.1-15.3) and sheep at 5.4% (95% CI: 4.0-6.9). The herd-level seroprevalence was 51.7% (95% CI: 47.9-55.7). Adult animals (Adjusted Odds Ratio (aOR) = 2.3, CI: 1.3-4.0), female animals (aOR = 1.7, CI: 1.1-2.6), and large herd sizes (aOR = 2.3, CI: 1.3-4.0) were significantly associated with anti-brucella antibody detection while sheep had significantly lower odds of Brucella spp. exposure compared to cattle (aOR = 1.3, CI: 0.8-2.1) and camels (aOR = 2.4, CI: 1.2-4.8). Human individual and household seroprevalences were 54.0% (95% CI: 50.2-58.0) and 86.4% (95% CI: 84.0-89.0), respectively. Significant risk factors associated with human seropositivity included being male (aOR = 2.1, CI:1.3-3.2), residing in Sericho ward (aOR = 1.6, CI:1.1-2.5) and having no formal education (aOR = 3.0, CI:1.5-5.9). There was a strong correlation between human seropositivity and herd exposure (aOR = 1.6, CI:1.2-2.3).
CONCLUSIONS
CONCLUSIONS
The study provides evidence of high human and livestock exposures to Brucella spp. and identifies important risk factors associated with disease spread. These findings emphasize the need for targeted prevention and control measures to curb the spread of brucellosis and implement a One Health surveillance to ensure early detection of the disease in Isiolo County, Northern Kenya.
Identifiants
pubmed: 37844102
doi: 10.1371/journal.pntd.0011682
pii: PNTD-D-23-00564
pmc: PMC10602376
doi:
Substances chimiques
Antibodies, Bacterial
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0011682Informations de copyright
Copyright: © 2023 Mwatondo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
Clin Infect Dis. 1995 Aug;21(2):283-9; quiz 290
pubmed: 8562733
BMC Vet Res. 2021 Oct 30;17(1):342
pubmed: 34717610
J S Afr Vet Assoc. 2018 Dec 05;89(0):e1-e8
pubmed: 30551701
Healthcare (Basel). 2021 Nov 11;9(11):
pubmed: 34828587
Trop Anim Health Prod. 2017 Mar;49(3):599-606
pubmed: 28176187
Emerg Infect Dis. 2007 Apr;13(4):527-31
pubmed: 17553265
PLoS Negl Trop Dis. 2021 Jun 10;15(6):e0009500
pubmed: 34111114
Am J Trop Med Hyg. 2015 Aug;93(2):224-231
pubmed: 26101275
Rev Saude Publica. 2017 Jun 22;51:57
pubmed: 28658364
Am J Trop Med Hyg. 2010 Aug;83(2):314-8
pubmed: 20682874
PLoS One. 2016 Aug 24;11(8):e0161576
pubmed: 27557120
Int J Antimicrob Agents. 2010 Nov;36 Suppl 1:S12-7
pubmed: 20692128
Int J Infect Dis. 2010 Jun;14(6):e469-78
pubmed: 19910232
Prev Vet Med. 2011 Nov 1;102(2):118-31
pubmed: 21571380
J Health Popul Nutr. 2019 Feb 7;38(1):6
pubmed: 30732649
PLoS Negl Trop Dis. 2014 Jul 24;8(7):e3008
pubmed: 25058178
PLoS Negl Trop Dis. 2019 Oct 17;13(10):e0007506
pubmed: 31622339
Trop Med Int Health. 2017 May;22(5):539-546
pubmed: 28196298
PLoS Negl Trop Dis. 2012;6(10):e1865
pubmed: 23145195
PLoS Negl Trop Dis. 2021 Mar 26;15(3):e0009275
pubmed: 33770095
Am J Pathol. 2015 Jun;185(6):1505-17
pubmed: 25892682
Comp Immunol Microbiol Infect Dis. 2013 May;36(3):241-8
pubmed: 23044181
Vet Immunol Immunopathol. 2016 Nov 15;181:51-58
pubmed: 27032465
BMC Vet Res. 2019 Mar 7;15(1):81
pubmed: 30845954
PLOS Glob Public Health. 2022 Aug 15;2(8):e0000682
pubmed: 36962768
Epidemiol Infect. 2023 Feb 08;151:e40
pubmed: 36750223
J Med Microbiol. 2011 Dec;60(Pt 12):1767-1773
pubmed: 21835974
Turk J Med Sci. 2014;44(2):220-3
pubmed: 25536728
Arch Public Health. 2017 Sep 11;75:34
pubmed: 28904791
BMC Public Health. 2016 Aug 22;16(1):853
pubmed: 27549329
Prev Vet Med. 1997 Jan;29(3):221-39
pubmed: 9234406
J Vet Diagn Invest. 2009 Jan;21(1):3-14
pubmed: 19139495
Int J Infect Dis. 2007 Jan;11(1):52-7
pubmed: 16651018
J Comp Pathol. 2009 Feb-Apr;140(2-3):149-57
pubmed: 19111839
Vet Med Sci. 2021 Jul;7(4):1254-1262
pubmed: 33645902
PeerJ. 2018 May 23;6:e4794
pubmed: 29844961
Vet J. 2010 May;184(2):146-55
pubmed: 19733101
PLoS Negl Trop Dis. 2021 Jan 25;15(1):e0008100
pubmed: 33493173
BMC Public Health. 2018 Jan 11;18(1):125
pubmed: 29325516
Front Vet Sci. 2022 Nov 18;9:1031639
pubmed: 36467641