Universidade de São Paulo, Faculdade de Saúde Pública, Departamento de Epidemiologia, São Paulo, SP, Brasil.
Rev Soc Bras Med Trop. 2020 Dec 11;53:e20200466. doi: 10.1590/0037-8682-0466-2020. eCollection 2020.
Leptospirosis is an endemic disease in Brazil that can become an epidemic during the rainy season resulting from floods in areas susceptible to natural disasters. These areas are widespread in Santa Catarina, particularly in the coastal region. Therefore, the objective of this study was to identify environmental, climatic, and demographic factors associated with the incidence of leptospirosis in the municipalities of Santa Catarina from 2001 to 2015, taking into account possible spatial dependence.
This was an ecological study aggregated by municipality. To evaluate the association between the incidence of leptospirosis and the factors under study (temperature, altitude, occurrence of natural disasters, etc.) while taking into account spatial dependence, linear regression models and models with global spatial error were used.
Lower altitudes, higher temperatures, and areas of natural disaster risk in the municipality contributed the most to explaining the variability in the incidence rate. After taking spatial dependence into account, only the minimum altitude variable remained significant. The regions of lower altitude, where the highest rates of leptospirosis were recorded, corresponded to the eastern portion of the state near the coastal region, where floods, urban floods, and overflows are common occurrences. No associations were found concerning demographic factors.
The incidence of leptospirosis in Santa Catarina was associated with environmental factors, particularly low altitude, even when considering the spatial dependence structure present in the data. The spatial error model allowed for adequate modeling of spatial autocorrelation.
钩端螺旋体病在巴西是一种地方性疾病,在易受自然灾害影响的地区,洪水会导致其在雨季爆发流行。这些地区在圣卡塔琳娜州广泛存在,特别是在沿海地区。因此,本研究的目的是确定 2001 年至 2015 年期间与圣卡塔琳娜州各县钩端螺旋体病发病率相关的环境、气候和人口因素,同时考虑可能存在的空间依赖性。
这是一项按市聚合的生态学研究。为了评估钩端螺旋体病发病率与研究因素(温度、海拔、自然灾害发生等)之间的关联,同时考虑空间依赖性,使用了线性回归模型和具有全局空间误差的模型。
较低的海拔、较高的温度和发生自然灾害风险的地区对解释发病率变化的贡献最大。在考虑空间依赖性后,只有最低海拔变量仍然具有显著性。记录发病率最高的低海拔地区与该州东部靠近沿海地区相对应,该地区洪水、城市洪水和溢流经常发生。关于人口因素,没有发现关联。
圣卡塔琳娜州的钩端螺旋体病发病率与环境因素有关,特别是海拔较低,即使考虑到数据中存在的空间依赖结构也是如此。空间误差模型能够对空间自相关进行适当建模。