Publications by authors named "Samuel Kusangaya"
Article Synopsis
- Understanding the spatial and temporal distribution of a disease is vital for targeting control efforts, with research focusing on mapping its potential distribution and identifying hotspot areas.
- The study utilized the Getis Ord G* statistic for hotspot analysis and MaxEnt ecological niche modeling, revealing high-prevalence districts in Zimbabwe, including Binga, Kwekwe, and Gokwe-south.
- Key factors influencing disease occurrence were identified, with temperature and precipitation patterns being significant, while temporal variations showed higher disease rates in July and September, suggesting geo-spatial techniques can enhance management strategies.
Background: Ticks transmit several diseases that result in high morbidity and mortality in livestock. Tick-borne diseases are an economic burden that negatively affect livestock production, cost countries billions of dollars through vaccine procurement and other disease management efforts. Thus, understanding the spatial distribution of tick hotspots is critical for identifying potential areas of high tick-borne disease transmission and setting up priority areas for targeted tick disease management.
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