Prevalence, Etiology, and Risk Factors of Mastitis in Dairy Cattle in Embu and Kajiado Counties, Kenya

Table 2

Effect of counties on the prevalence of mastitis pathogens.

Bacteria	Embu (%); n = 591	Kajiado (%); n = 425	Total (%); n = 1016
Coagulase-negative Staphylococcus	41.7^a (247/591)	44.2^a (188/425)	42.8 (435/1016)
Streptococcus spp.	20.3^a (120/591)	24.9^a (106/425)	22.2 (226/1016)
Streptococcus agalactiae	0.1^a (1/591)	0.7^a (3/425)	0.4 (4/1016)
Staphylococcus aureus	13.8^a (82/591)	18.3^a (78/425)	15.7 (160/1016)
Bacillus spp.	10.4^a (62/591)	3.5^b (15/425)	7.6 (77/1016)
Pseudomonas aeruginosa	5^a (30/591)	5.5^a (22/425)	5.1 (52/1016)
Escherichia coli	4.3^a (26/591)	1.4^b (6/425)	3.1 (32/1016)
Klebsiella spp.	1.8^a (11/591)	0.7^a (3/425)	1.4 (14/1016)
Micrococcus spp.	1^a (6/591)	0.7^a (3/425)	0.9 (9/1016)
Enterobacter spp.	1^a (6/591)	0.2^a (1/425)	0.7 (7/1016)

n = total number of bacterial isolates. Different superscript letters on the same row denote a subset of county category whose proportions differ significantly within the row (). Similar superscript letters on the same row denote a subset of county category whose proportions do not differ significantly within the row ().