• Abstract

    In eastern Africa, the eradication of East Coast fever (ECF) caused by Theileria parva is challenging in practice, as it is the heartland of its vector tick Rhipicephalus appendiculatus and has highly favorable climates, free grazing cattle‒buffalo interactions and an increasing problem of acaricide resistance. Improving our understanding of spatiotemporal changes in ECF disease mapping will guide the development of a sustainable approach to ECF control in Tanzania. A national survey was carried out in 21 regions of the Tanzanian mainland and Mafia Island between 1998 and 2001. Simple random sampling was applied to select target villages, and a multistage sampling selection procedure was followed to determine the sample size required for seroprevalence estimates. To avoid the possibility of detecting passively derived colostral antibodies, only indigenous calves aged 6–12 months were enrolled and sampled. A total of 9,400 serum samples collected from the 825 villages visited were assayed with a standard indirect PIM-based Theileria parva enzyme-linked immunosorbent assay (ELISA) kit. The geographic database was managed with ArcView 3.1 (ESRI), and seroprevalence, endemicity and disease risk maps were generated. With the exceptions of the northern Maasai region and the Rukwa and Mtwara regions in southern zone, most of Tanzania has reached an endemically stable situation for ECF, with relatively large areas in central Tanzania showing "no-disease risk" areas due to the absence of the tick vector Rhipicephalus appendiculatus. This study confirmed that ECF has expanded the distribution of its tick vector Rhipicephalus appendiculatus and has reached an overall balance, resulting in a more stable ECF endemic disease situation. The disease risk maps will contribute to directing the different control options for integrated control, which should support and conserve the state of endemic stability that has been achieved at high costs but can be modified to suit each individual region.

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Senyael, S. E., Lynen, G., Giulio, G. D., Sanka, P. N., & Mtui, P. F. (2025). Disease risk modeling and epidemiological status of the important tick-borne disease east coast fever in Tanzania. Applied Veterinary Research, 3(3), 2024015. https://doi.org/10.31893/avr.2024015
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