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首页> 外文期刊>The American Journal of Tropical Medicine and Hygiene >Cutaneous leishmaniasis in the Peruvian Andes: risk factors identified from a village cohort study.
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Cutaneous leishmaniasis in the Peruvian Andes: risk factors identified from a village cohort study.

机译:秘鲁安第斯山脉的皮肤利什曼病:从一项乡村队列研究中确定的危险因素。

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Risk factors for cutaneous leishmaniasis were identified from a comparative study of transmission rates in 27 villages in the Departments of Lima, Ancash, and Piura in Peru. To evaluate regression analysis as a tool for the incrimination of sand fly vectors in the absence of other biologic evidence, univariate and multivariate logistic regression analyses were used to identify which of 14 variables (the abundance of nine sand fly species, four social factors, and region) predicted transmission rates in villages (incidence, active prevalence, or cumulative prevalence). In general, suspected or proven vectors (e.g., Lutzomyia peruensis) had the strongest associations with transmission rate, indicating that regression is a useful supplementary method of incriminating vectors. Regression was then used to quantify the importance of suspected risk factors. Transmission rate increased with the abundance of Lu. peruensis, Lu. ayacuchensis, Lu. noguchii, and, to a lesser extent, Lu. verrucarum and transmission was higher among villagers who slept more frequently in temporary shelters in crop areas. There were also weak effects of the number of dogs/ person (negative) and the number of persons/household (positive). Linear regressions failed to detect a threshold sand fly density below which transmission ceases. The minimal adequate multiple regression model explained 82% of the variance in village incidence rates. This model was used to predict the effect on incidence of reducing each of the four suspected vectors in northern and southern Peru. The results indicate that vector control programs in the south should aim at Lu. peruensis, Lu. verrucarum, and Lu. noguchii, but focus on Lu. ayacuchensis in the north.
机译:通过对秘鲁利马,安卡什和皮乌拉省27个村庄的传播率进行比较研究,确定了皮肤利什曼病的危险因素。为了在没有其他生物学证据的情况下将回归分析评估为一种用于鉴定沙蝇媒介的工具,使用单变量和多元逻辑回归分析来确定14个变量中的哪一个(9种沙蝇种类,四个社会因素和地区)的预测传播率(发生率,活跃患病率或累积患病率)。一般而言,可疑或已证明的载体(例如秘鲁紫薇)与传播速率之间的关联最强,这表明回归是确定载体的有用补充方法。然后使用回归来量化可疑风险因素的重要性。传输速率随着Lu的丰度而增加。秘鲁鲁芦ac Noguchii,在较小程度上还包括Lu。在庄稼地的临时避难所中睡得更多的村民中,疣和传播率更高。狗/人的数量(阴性)和人/家庭的数量(阳性)的影响也较弱。线性回归未能检测出阈值的沙蝇密度,低于该阈值,沙尘暴不再传播。最小适当多元回归模型解释了村庄发病率的82%的方差。该模型用于预测秘鲁北部和南部减少四种可疑病媒中的每一种对发病率的影响。结果表明,南部的病媒控制程序应针对Lu。秘鲁鲁verrucarum和陆。野口,但专注于鲁。北部的ayacuchensis。

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