Department of Entomology, National Chung Hsing University, Taichung, Taiwan.
Center for Isotopes and Radiation Application, National Nuclear Energy Agency, Jakarta, Indonesia.
PLoS Negl Trop Dis. 2021 Oct 28;15(10):e0009896. doi: 10.1371/journal.pntd.0009896. eCollection 2021 Oct.
Larval surveillance is the central approach for monitoring dengue vector populations in Indonesia. However, traditional larval indices are ineffective for measuring mosquito population dynamics and predicting the dengue transmission risk. We conducted a 14-month ovitrap surveillance. Eggs and immature mosquitoes were collected on a weekly basis from an urban village of Bandung, namely Sekejati. Ovitrap-related indices, namely positive house index (PHI), ovitrap index (OI), and ovitrap density index (ODI), were generated and correlated with environmental variables, housing type (terraced or high-density housing), ovitrap placement location (indoor or outdoor; household or public place), and local dengue cases. Our results demonstrated that Aedes aegypti was significantly predominant compared with Aedes albopictus at each housing type and ovitrap placement location. Ovitrap placement locations and rainfall were the major factors contributing to variations in PHI, OI, and ODI, whereas the influences of housing type and temperature were subtle. Indoor site values were significantly positively correlated to outdoor sites' values for both OI and ODI. OI and ODI values from households were best predicted with those from public places at 1- and 0-week lags, respectively. Weekly rainfall values at 4- and 3-week lags were the best predictors of OI and ODI for households and public places, respectively. Monthly mean PHI, OI, and ODI were significantly associated with local dengue cases. In conclusion, ovitrap may be an effective tool for monitoring the population dynamics of Aedes mosquitoes, predicting dengue outbreaks, and serving as an early indicator to initiate environmental clean-up. Ovitrap surveillance is easy for surveyors if they are tasked with a certain number of ovitraps at a designated area, unlike the existing larval surveillance methodology, which entails identifying potential breeding sites largely at the surveyors' discretion. Ovitrap surveillance may reduce the influence of individual effort in larval surveillance that likely causes inconsistency in results.
幼虫监测是印度尼西亚监测登革热媒介种群的核心方法。然而,传统的幼虫指数对于衡量蚊子种群动态和预测登革热传播风险并不有效。我们进行了为期 14 个月的诱卵器监测。每周从万隆的一个城中村Sekejati收集卵和未成熟的蚊子。生成了与诱卵器相关的指数,即阳性房屋指数(PHI)、诱卵器指数(OI)和诱卵器密度指数(ODI),并将其与环境变量、房屋类型(梯田式或高密度住房)、诱卵器放置位置(室内或室外;家庭或公共场所)以及当地登革热病例相关联。我们的结果表明,在每种房屋类型和诱卵器放置位置,埃及伊蚊均明显多于白纹伊蚊。诱卵器放置位置和降雨量是导致 PHI、OI 和 ODI 变化的主要因素,而房屋类型和温度的影响则较为细微。室内地点的 OI 和 ODI 值与室外地点的 OI 和 ODI 值呈显著正相关。家庭的 OI 和 ODI 值与公共场所的 OI 和 ODI 值的最佳预测滞后时间分别为 1 周和 0 周。4 周和 3 周滞后的每周降雨量值是家庭和公共场所 OI 和 ODI 的最佳预测因子。每月平均 PHI、OI 和 ODI 与当地登革热病例显著相关。总之,诱卵器可能是监测埃及伊蚊种群动态、预测登革热暴发和作为启动环境清理的早期指标的有效工具。如果要求调查员在指定区域内负责一定数量的诱卵器,诱卵器监测对调查员来说很容易,而不是现有的幼虫监测方法,这种方法需要在很大程度上依赖调查员的判断来确定潜在的滋生地。诱卵器监测可能会减少幼虫监测中个体努力的影响,这种影响可能导致结果不一致。