Spatial-temporal clustering characteristics of dengue fever based on Knox model analysis in the China-Myanmar border area,Jinghong,China,2019
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).
Dengue feverKnox modelSpatial-temporal clusteringChina-Myanmar border area
NETL
NSTL
万方数据
