Investigating the infection dynamics and molecular detection of Cryptosporidium in Buffaloes in Sylhet, Bangladesh

Cryptosporidiosis, a zoonotic infection impacting both livestock and humans, is inadequately understood in terms of its prevalence and transmission dynamics involving buffaloes in Bangladesh. This research, conducted in the Sylhet division, aimed to explore the prevalence and potential risk factors influencing Cryptosporidium spp. in the faecal samples of 392 buffaloes. Detection of the parasite utilized modified Ziehl-Neelsen staining, with molecular identification achieved through nested PCR (nPCR). The comprehensive analysis revealed 9.18% (36/ 392) prevalence at the individual animal level and 40.48% (17/42) at the herd level. Age -based analysis revealed fluctuating infection rates of Cryptosporidium spp. in buffaloes across distinct age brackets, with rates of 22.61% in those aged 0 -6 months, 5.00% in those aged 6 -12 months, and 1.03% in those aged 12 -18 months. Diarrheic buffaloes showed a significantly ( p < 0.001) higher infection rate (26.67%; 28/105) compared to non-diarrheic buffaloes (2.79%; 8/287). In risk factor analysis, binary logistic regression revealed that buffaloes aged 0 -6 months were experiencing a likelihood that is 14.84 times higher to be affected by Cryptosporidium in contrast to their older counterparts (OR = 14.85; p = 0.02). Additionally, diarrhoeic buffaloes were found to be more susceptible to Cryptosporidium compared to healthy buffaloes (OR =17.50; p < 0.001). A higher stocking density was associated with an increased likelihood of infection in buffaloes (OR = 11.20; p = 0.01). The results of this study emphasize the necessity for targeted interventions, considering factors like diarrheic condition and stocking density, to effectively manage and control cryptosporidiosis in Bangladesh.