Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, Indiana, United States of America.
Miami-Dade County Mosquito Control Division, Miami, Florida, United States of America.
PLoS Negl Trop Dis. 2023 Jan 26;17(1):e0011074. doi: 10.1371/journal.pntd.0011074. eCollection 2023 Jan.
Mathematical models have been widely used to study the population dynamics of mosquitoes as well as to test and validate the effectiveness of arbovirus outbreak responses and mosquito control strategies. The objective of this study is to assess the diel activity of mosquitoes in Miami-Dade, Florida, and Brownsville, Texas, the most affected areas during the Zika outbreak in 2016-2017, and to evaluate the effectiveness of simulated adulticide treatments on local mosquito populations. To assess variations in the diel activity patterns, mosquitoes were collected hourly for 96 hours once a month from May through November 2019 in Miami-Dade County, Florida, and Brownsville, Texas. We then performed a PERMANOVA followed by a SIMPER analysis to assess whether the abundance and species richness significantly varies at different hours of the day. Finally, we used a mathematical model to simulate the population dynamics of 5 mosquito vector species and evaluate the effectiveness of the simulated adulticide applications. A total of 14,502 mosquitoes comprising 17 species were collected in Brownsville and 10,948 mosquitoes comprising 19 species were collected in Miami-Dade County. Aedes aegypti was the most common mosquito species collected every hour in both cities and peaking in abundance in the morning and the evening. Our modeling results indicate that the effectiveness of adulticide applications varied greatly depending on the hour of the treatment. In both study locations, 9 PM was the best time for adulticide applications targeting all mosquito vector species; mornings/afternoons (9 AM- 5 PM) yielded low effectiveness, especially for Culex species, while at night (12 AM- 6 AM) the effectiveness was particularly low for Aedes species. Our results indicate that the timing of adulticide spraying interventions should be carefully considered by local authorities based on the ecology of the target mosquito species in the focus area.
数学模型已被广泛用于研究蚊子的种群动态,以及测试和验证虫媒病毒爆发应对措施和蚊子控制策略的有效性。本研究的目的是评估佛罗里达州迈阿密-戴德县和德克萨斯州布朗斯维尔在 2016-2017 年寨卡病毒爆发期间受影响最严重的地区的蚊子的昼夜活动,并评估模拟成虫剂处理对当地蚊子种群的效果。为了评估昼夜活动模式的变化,我们于 2019 年 5 月至 11 月每月一次在迈阿密-戴德县和德克萨斯州布朗斯维尔每小时收集蚊子,收集时间为 96 小时。然后,我们进行了 PERMANOVA 分析,然后进行 SIMPER 分析,以评估在一天的不同时间,丰度和物种丰富度是否有显著变化。最后,我们使用数学模型模拟了 5 种蚊子媒介物种的种群动态,并评估了模拟成虫剂应用的效果。在布朗斯维尔共收集到 14502 只蚊子,包括 17 个种,在迈阿密-戴德县共收集到 10948 只蚊子,包括 19 个种。在这两个城市,每小时最常见的蚊子物种都是埃及伊蚊,且丰度在早晚最高。我们的建模结果表明,成虫剂应用的效果在很大程度上取决于处理时间。在这两个研究地点,针对所有蚊子媒介物种,晚上 9 点是成虫剂应用的最佳时间;早上/下午(9 点至下午 5 点)效果较低,特别是对库蚊种;而在夜间(12 点至早上 6 点),埃及伊蚊的效果特别低。我们的结果表明,当地当局应根据重点地区目标蚊子物种的生态学,仔细考虑成虫剂喷雾干预的时间。