PDF(Pubmed)
Abstract：
UNASSIGNED: The goal of this study is to analyze the epidemiological patterns of dengue fever across different districts and counties in Yunnan Province from 2010 to 2021.
UNASSIGNED: In this study, we employed joinpoint regression analysis, spatial autocorrelation analysis, and space-time scan analysis to illustrate the spatio-temporal propagation and demographic influence of dengue fever, using both graphical and tabular presentations to clearly demonstrate the findings.
UNASSIGNED: Yunnan Province reported 14,098 cases of dengue fever during the period from 2010 to 2021. Of these, 11,513 cases were caused by local transmission, 2,566 were imported internationally, and 19 were inter-provincial imports. Seasonal trends emerged, revealing a surge in incidences during the summer and autumn months. The sex ratio of male to female cases was 1:0.88, with a significant majority of 82.00% of cases involving individuals belonging to the age group of 15-60. Commercial service workers constituted the most impacted occupational group, forming 20.96% of total cases. A spatio-temporal scan identified significant clustering of dengue fever cases across space and time, with the most pronounced cluster observed in southern Yunnan, primarily between 2015 and 2019.
UNASSIGNED: Dengue fever in Yunnan Province manifests as biennial outbreaks, underscoring the necessity for increased surveillance, particularly in counties bordering other regions.
UNASSIGNED: In this study, we employed joinpoint regression analysis, spatial autocorrelation analysis, and space-time scan analysis to illustrate the spatio-temporal propagation and demographic influence of dengue fever, using both graphical and tabular presentations to clearly demonstrate the findings.
UNASSIGNED: Yunnan Province reported 14,098 cases of dengue fever during the period from 2010 to 2021. Of these, 11,513 cases were caused by local transmission, 2,566 were imported internationally, and 19 were inter-provincial imports. Seasonal trends emerged, revealing a surge in incidences during the summer and autumn months. The sex ratio of male to female cases was 1:0.88, with a significant majority of 82.00% of cases involving individuals belonging to the age group of 15-60. Commercial service workers constituted the most impacted occupational group, forming 20.96% of total cases. A spatio-temporal scan identified significant clustering of dengue fever cases across space and time, with the most pronounced cluster observed in southern Yunnan, primarily between 2015 and 2019.
UNASSIGNED: Dengue fever in Yunnan Province manifests as biennial outbreaks, underscoring the necessity for increased surveillance, particularly in counties bordering other regions.
摘要：
■本研究的目的是分析2010年至2021年云南省不同区县的登革热流行病学模式。
■在这项研究中，我们采用了连接点回归分析，空间自相关分析，和时空扫描分析来说明登革热的时空传播和人口统计学影响，使用图形和表格演示来清楚地展示发现。
■2010年至2021年期间，云南省报告登革热病例14098例。其中,11513例由本地传播引起，从国际上进口了2,566,19是省际进口。出现了季节性趋势，揭示了在夏季和秋季的发病率激增。男女病例的性别比例为1：0.88，其中82.00％的病例涉及15-60岁年龄段的个体。商业服务人员构成受影响最大的职业群体，占总病例的20.96%。时空扫描确定了跨空间和时间的登革热病例的显着聚类，在云南南部观察到的最明显的集群，主要在2015年至2019年之间。
■云南省登革热表现为两年一次的爆发，强调加强监测的必要性，特别是在与其他地区接壤的县。
■在这项研究中，我们采用了连接点回归分析，空间自相关分析，和时空扫描分析来说明登革热的时空传播和人口统计学影响，使用图形和表格演示来清楚地展示发现。
■2010年至2021年期间，云南省报告登革热病例14098例。其中,11513例由本地传播引起，从国际上进口了2,566,19是省际进口。出现了季节性趋势，揭示了在夏季和秋季的发病率激增。男女病例的性别比例为1：0.88，其中82.00％的病例涉及15-60岁年龄段的个体。商业服务人员构成受影响最大的职业群体，占总病例的20.96%。时空扫描确定了跨空间和时间的登革热病例的显着聚类，在云南南部观察到的最明显的集群，主要在2015年至2019年之间。
■云南省登革热表现为两年一次的爆发，强调加强监测的必要性，特别是在与其他地区接壤的县。
