Objective To describe the epidemiological characteristics of dengue fever in the China-Myanmar border area, and to explore the spatial-temporal clustering characteristics of dengue fever at different spatial-temporal scales. Methods The data on dengue fever cases were collected in the China-Myanmar border area, Jinghong, China in 2019, and a spatial-temporal clustering analysis of dengue fever was performed using a Knox model. Results In this study, the average time interval and average spatial distance of dengue fever transmission in Jinghong were 23.49 d and 5.54 km, respectively. When the time interval was 1 day, the risk of dengue fever was highest (RR≈2.00) at a spatial distance of 0.40-0.50 km, relatively high (RR>1.60) at >0.50-1.00 km, and moderate (RR≥1.40) at 1.00-2.00 km; and the RR was still >1.00 at a distance of 15.00 km. Among populations of different characteristics (sex, age, and occupation), the spatial-temporal transmission pattern of dengue fever was heterogeneous, and the strength of spatiotemporal clustering was strongest in people with long-time and short-distance contact. For occupations, worker-worker case pairs had the highest strength at a large scale (0-1.00 km), and farmer-farmer case pairs had the highest strength at a small scale (0-0.10 km). Conclusion The risk of dengue fever transmission in Jinghong decreases rapidly with an increasing time interval and spatial distance, and spatial-temporal clustering is markedly heterogeneous at different scales and in populations of different characteristics (sex, age, and occupation).
TANG Ye-rong, ZHOU Hong-ning, MA Wen-jun, XIAO Jian-peng, ZHAO Jian-guo, ZHANG Qian, LI Jing-hua
. Spatial-temporal clustering characteristics of dengue fever based on Knox model analysis in the China-Myanmar border area， Jinghong， China， 2019[J]. Chinese Journal of Vector Biology and Control, 2024
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DOI: 10.11853/j.issn.1003.8280.2024.01.010
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