Retrospective analysis of laboratory diagnostic data to assess the seasonal and proportional distribution of major tick-borne diseases in cattle from selected smallholder farms, Zambia

Tick-borne diseases (TBDs) are endemic in Zambia and several other Sub-Saharan countries. They affect livestock production by causing high morbidity and mortality, resulting in increased production losses in terms of live-weight gain, milk production, off-take rates, and draft power. Herein, we applied a facility-based design to assess the proportion and seasonal distribution of theileriosis, babesiosis, anaplasmosis, and heartwater in cattle from selected smallholder farms in Lusaka and Central provinces of Zambia using laboratory records for microscopic examination of haemoparasites. The overall proportions for theileriosis, babesiosis, and anaplasmosis were 33.7% (95% CI: 30.7–38.2%), 8.3% (95% CI: 6.4–10.9%), and 0.5% (95% CI: 0.1–1.4%), respectively. Heartwater was detected in all the six laboratory records reviewed. Lusaka province had the highest proportion of theileriosis at 30.2% (95% CI: 25.5–35.3%), followed by babesiosis, 8.5% (95% CI: 5.8–11.9%), and anaplasmosis, 0.3% (95% CI: 0.01–1.6%). Similarly, Central province had the highest proportion of theileriosis at 39.5% (95% CI: 33.8–45.4%), followed by babesiosis, 8.4% (95% CI: 5.5–12.2%), and anaplasmosis, 0.7% (95% CI: 0.1–2.5%). Among the districts, Rufunsa district had the highest proportion for theileriosis at 70.6% (95% CI: 44.0–89.7%), followed by Kafue, 54.5% (95% CI: 23.4–83.3%), and Shibuyunji, 51.4% (95% CI: 34.0–68.6%). Analysis of seasonal variation revealed no statistical difference between the dry and wet seasons for theileriosis, babesiosis, and anaplasmosis. Furthermore, there was no statistical difference between Central and Lusaka provinces for babesiosis and anaplasmosis except for theileriosis. These data may have implications on farmers’ herd health management strategies with respect to TBDs, and farmers should be sensitized for effective implementation of risk-based disease control.