Factors associated with strongylida infections in sheep on farms in peri-urban Nairobi, Kenya

被引:0
|
作者
Tangus, Cherotich J. [1 ]
Nga'nga, Chege J. [1 ]
Njuguna, Karanja D. [1 ]
Gachuiri, Charles K. [2 ]
Kimeli, Peter [3 ]
机构
[1] Univ Nairobi, Dept Vet Pathol Microbiol & Parasitol, Nairobi 00625, Kenya
[2] Univ Nairobi, Dept Clin Studies, Nairobi 00625, Kenya
[3] Univ Nairobi, Dept Anim Prod, Nairobi 00625, Kenya
来源
VETERINARY PARASITOLOGY- REGIONAL STUDIES AND REPORTS | 2024年 / 47卷
关键词
Gastrointestinal parasites; Sheep; Strongylida eggs; Coccidia oocyst; Farm location; GASTROINTESTINAL NEMATODE INFECTIONS; SMALL RUMINANTS; PREVALENCE; EPIDEMIOLOGY; ZONE;
D O I
10.1016/j.vprsr.2023.100955
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
Gastrointestinal parasite infections are among the major limitations to production in sheep in many parts of the world. It is important to continually assess their levels of infection in order to institute control measures and reduce the impact. This study determined the factors associated with the strongylida egg counts in sheep on selected farms in peri-urban Nairobi, Kenya. This was a cross-sectional study in which farm and animal-level data, including faecal samples, were collected from 1640 sheep from 30 purposively selected farms in Ruai, and Kamulu wards in Kasarani sub-county and Utawala and Mihango wards in Embakasi East Sub-County, in Nairobi County Kenya. The faecal samples were subjected to coprological examination using a modified McMaster technique to determine counts of strongylida eggs and coccidia oocysts with a detection level of 100 egg or oocyst per gram (EPG or OPG) of faeces. The positive faecal samples for strongylida eggs were pooled per farm and cultured for morphological identification of larval stage three. Descriptive statistics and multilevel mixed-effect logistic regression analyses were used to determine factors associated with strongylida egg count >= 600 EPG (p < 0.05). The receiver operating characteristics curve was used to assess the overall diagnostic performance in the final model. Strongylida eggs were detected in 45.5% (746/1640) of the sheep, and the mean EPG was 486.0 +/- 858.9 with a median of 200 and a range of 0-16,700. The coccidia oocysts were detected in 49.4% (810/1640) of the sheep with a mean OPG was 341.7 +/- 1782.4, a median of 0 and a range of 0-60,000. In the coprocultures, the nematode genera identified (% differential count of L3) were Haemonchus (90%), Trichostrongylus (5%) and Oesophagostomum (5%). In the final multivariable regression model, the odds of detecting EPG >= 600 was 1.44 times higher for sheep shedding coccidia oocysts than those that did not. The odds for detecting EPG >= 600 was 4.01 times for sheep in Ruai ward compared with those in the combined Kamulu, Utawala and Mihango wards. The receiver operating characteristic curve area was 73.1%, suggestive of good model performance. The results suggest that gastrointestinal strongylida and coccidia infections are common in sheep and farmers should be educated on the importance of appropriate control measures.
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