Health Sciences Graduate Program, Federal University of Sergipe.
Nursing Postgraduate Program, Federal University of Sergipe and Research Group in Public Health.
Geospat Health. 2020 Jun 17;15(1). doi: 10.4081/gh.2020.854.
Dengue is a global public health problem. The Dengue Virus (DENV) serotypes are transmitted by an Aedes aegypti mosquito. Vector control is among the primary methods to prevent the disease, especially in tropical countries. This study aimed to analyze the spatial distribution of dengue and its relationship with social inequalities using spatial modelling. An ecological study with temporal and spatial analysis was conducted in the state of Sergipe, Northeast Brazil, over a period of 18 years. Spatial modelling was used to determine the influence of space on dengue incidence and social inequalities. The epidemic rates in 2008, 2012, and 2015 were identified. Spatial modelling explained 40% of the influence of social inequalities on dengue incidence in the state. The main social inequalities related to the occurrence of dengue were the percentage of people living in extreme poverty and inadequate sanitation. The epidemic situation even increased the risk of dengue in the population of the state of Sergipe. These results demonstrate the potential of spatial modelling in determining the factors associated with dengue epidemics and are useful in planning the intersectoral public health policies.
登革热是一个全球性的公共卫生问题。登革病毒(DENV)血清型通过埃及伊蚊传播。病媒控制是预防疾病的主要方法之一,特别是在热带国家。本研究旨在利用空间建模分析登革热的空间分布及其与社会不平等的关系。在巴西东北部塞尔希培州进行了一项具有时间和空间分析的生态研究,时间跨度为 18 年。空间建模用于确定空间对登革热发病率和社会不平等的影响。确定了 2008 年、2012 年和 2015 年的流行率。空间建模解释了该州 40%的社会不平等对登革热发病率的影响。与登革热发生相关的主要社会不平等因素是生活在极端贫困和卫生条件不足的人口比例。疫情甚至增加了该州人口感染登革热的风险。这些结果表明空间建模在确定与登革热流行相关的因素方面具有潜力,并有助于规划跨部门公共卫生政策。