圣保罗州的特点是什么?哪里发生蛇咬伤事故的风险最高?

Gisele Dias de Freitas, Alec Brian Lacerda, Thiago Salomão de Azevedo, Anderson de Oliveira, Roberta Maria Fernandes Spinola, Flávio Santos Dourado, Fan Hui Wen, Francisco Chiaravalloti-Neto
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引用次数: 0

摘要

目的:了解圣保罗州蛇咬伤的模式,目的是按蛇属、年龄组、性别、种族/民族、教育水平、居住地和发生地点、季节性、植被覆盖来描述事故和死亡情况,并确定事故风险较高的空间集群。方法:利用2010 - 2022年中国国家传染病信息系统(SINAN)毒蛇咬伤事故数据进行描述性研究。Getis-Ord Gi*指数用于识别高风险和低风险群集。结果:以男性(78.7%)、白人(64.7%)、20 ~ 59岁成人(67.1%)和低文化程度人群(63.4%)为主(61.5%)。大多数事故发生在城市地区(55.7%),而死亡在农村地区更为频繁(68.1%),治疗延误时间较长。发病率保持稳定,在炎热和多雨时期有所增加。许多病例不是本地发生的,植被类型影响了事故类型:Bothrops发生在密集和潮湿地区,Crotalus发生在干燥和开阔地区,Micrurus发生在这两种地区。空间分析突出了风险较高和较低的区域,因事故类型而异。结论:确定受影响最严重的人群、季节性和高危地区为预防措施和有效管理提供了必要的支持。研究结果可以指导针对弱势人群的工作,在高发时期预测预防策略,并优化资源,例如在高风险地区进行专业培训和抗蛇毒血清分发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What are the characteristics and where is the highest risk of snakebite accidents in the state of São Paulo?

Objectives: To understand the pattern of snakebite envenomation, the objective was to describe accidents and deaths by snake genus, age group, sex, race/ethnicity, education level, place of residence and occurrence, seasonality, vegetation cover, and to identify spatial clusters with a higher risk of accidents in the state of São Paulo.

Methods: A descriptive study using data from the Notifiable Diseases Information System (SINAN) on snakebite accidents between 2010 and 2022. The Getis-Ord Gi* index was applied to identify high- and low-risk clusters.

Results: Bothropic accidents predominated (61.5%), affecting men (78.7%), whites (64.7%), adults aged 20-59 years (67.1%), and individuals with low education levels (63.4%). Most accidents occurred in urban areas (55.7%), while deaths were more frequent in rural areas (68.1%), with longer treatment delays. Incidence remained stable, increasing during hot and rainy periods. Many cases were not autochthonous, and vegetation type influenced accident patterns: Bothrops in dense and humid areas, Crotalus in dry and open regions, and Micrurus in both. Spatial analysis highlighted areas of higher and lower risk, varying by accident type.

Conclusions: Identifying the most affected population, seasonality, and high-risk areas provides essential support for preventive actions and effective management. The findings can guide efforts towards vulnerable populations, anticipate preventive strategies during high-incidence periods, and optimize resources, such as professional training and antivenom serum distribution in high-risk regions.

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