Barbosa Gerson Laurindo, Donalísio Maria Rita, Stephan Celso, Lourenço Roberto Wagner, Andrade Valmir Roberto, Arduino Marylene de Brito, de Lima Virgilia Luna Castor
Superintendence for Control of Endemic Diseases, State Health Department, São Paulo, São Paulo, Brazil.
Department of Public Health, Faculty of Medical Sciences, State University of Campinas, Campinas, São Paulo, Brazil.
PLoS Negl Trop Dis. 2014 May 15;8(5):e2873. doi: 10.1371/journal.pntd.0002873. eCollection 2014 May.
Dengue fever is a major public health problem worldwide, caused by any of four virus (DENV-1, DENV-2, DENV-3 and DENV-4; Flaviviridae: Flavivirus), transmitted by Aedes aegypti mosquito. Reducing the levels of infestation by A. aegypti is one of the few current strategies to control dengue fever. Entomological indicators are used by dengue national control program to measure the infestation of A. aegypti, but little is known about predictive power of these indicators to measure dengue risk. In this spatial case-control study, we analyzed the spatial distribution of the risk of dengue and the influence of entomological indicators of A. aegypti in its egg, larva-pupa and adult stages occurring in a mid-size city in the state of São Paulo. The dengue cases were those confirmed by the city's epidemiological surveillance system and the controls were obtained through random selection of points within the perimeter of the inhabited area. The values of the entomological indicators were extrapolated for the entire study area through the geostatistical ordinary kriging technique. For each case and control, the respective indicator values were obtained, according with its geographical coordinates and analyzed by using a generalized additive model. Dengue incidence demonstrated a seasonal behavior, as well as the entomological indicators of all mosquito's evolutionary stages. The infestation did not present a significant variation in intensity and was not a limiting or determining factor of the occurrence of cases in the municipality. The risk maps of the disease from crude and adjusted generalized additive models did not present differences, suggesting that areas with the highest values of entomological indicators were not associated with the incidence of dengue. The inclusion of other variables in the generalized additive models may reveal the modulatory effect for the risk of the disease, which is not found in this study.
登革热是全球主要的公共卫生问题,由四种病毒(登革病毒1型、登革病毒2型、登革病毒3型和登革病毒4型;黄病毒科:黄病毒属)中的任何一种引起,通过埃及伊蚊传播。降低埃及伊蚊的滋生水平是目前控制登革热的少数策略之一。登革热国家防控项目使用昆虫学指标来衡量埃及伊蚊的滋生情况,但对于这些指标预测登革热风险的能力知之甚少。在这项空间病例对照研究中,我们分析了圣保罗州一个中等规模城市登革热风险的空间分布以及埃及伊蚊在其卵、幼虫-蛹和成虫阶段的昆虫学指标的影响。登革热病例由该市的流行病学监测系统确诊,对照通过在居住区周边随机选择点获得。通过地质统计学普通克里金技术将昆虫学指标值外推到整个研究区域。对于每个病例和对照,根据其地理坐标获得相应的指标值,并使用广义相加模型进行分析。登革热发病率呈现季节性变化,所有蚊子发育阶段的昆虫学指标也是如此。滋生强度没有显著变化,也不是该市病例发生的限制或决定因素。原始和调整后的广义相加模型得出的疾病风险图没有差异,这表明昆虫学指标值最高的地区与登革热发病率无关。在广义相加模型中纳入其他变量可能会揭示对疾病风险的调节作用,本研究未发现这种作用。