Socio-economic impacts of brucellosis on livestock production and reproduction performance in Koibatek and Marigat regions, Baringo County, Kenya

Table 2 Reported impact of abortion on socio-economic status

Variables	Abortions^a				χ²	P-value	OR	95% CI	P-value
	Yes		No
	n	%	n	%
Milk
High	24	6.8	86	30.0	62.9	< 0.0001*	0.151	0.066–0.342	< 0.0001*
Medium	191	54.1	133	46.3
Low	138	39.1	68	23.7
Meat and blood
High	20	5.7	58	20.2	36.4	< 0.0001*	0.541	0.203–1.444	0.220
Medium	192	54.4	154	53.7
Low	141	39.9	75	26.1
Fat
High	15	4.2	21	7.3	4.1	0.127	3.156	1.152–8.646	0.025*
Medium	185	52.4	158	55.1
Low	153	43.3	108	37.6
Infertility
High	100	28.3	134	46.7	23.1	< 0.0001*	0.440	0.261–0.743	0.002*
Medium	133	37.7	77	26.8
Low	120	34.0	76	26.5
Sale value
High	20	5.7	67	13.6	48.7	< 0.0001*	0.385	0.190–0.716	0.008*
Medium	227	64.3	126	55.2
Low	106	30.0	94	31.3
Dowry
High	16	4.5	37	12.9	19.6	< 0.0001*	0.912	0.396–2.101	0.829
Medium	161	45.6	143	49.8
Low	176	49.9	107	37.3
Cost of treatment
High	119	33.7	159	55.4	34.5	< 0.0001*	0.449	0.281–0.717	0.001*
Medium	220	62.3	112	39.0
Low	14	4.0	16	5.6

^aPearson Chi-square. *Statistically significant at P ≤ 0.05. OR odds ratio, 95% CI 95% Confidence Interval. OR generated through logistic regression analyses

ISSN: 1746-6148