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海口市2017—2022年伊蚊幼虫密度与气象因素关联研究
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作者 陆晶晶 林怡 +11 位作者 李卫霞 李慧慧 李艳 陈学文 符方德 王妹 刘莹 刘璞瑜 吴群 曾雪霞 曹莉 孙定炜 《中国热带医学》 CAS 北大核心 2024年第8期948-954,共7页
目的分析海南省海口市气象因素对伊蚊幼虫密度的影响,研究其滞后效应,为登革热病媒监测及控制提供依据。方法收集海口市2017—2022年伊蚊幼虫监测数据和气象因子数据,采用X11模型分解分析伊蚊幼虫密度时间序列呈现的季节性及趋势性基本... 目的分析海南省海口市气象因素对伊蚊幼虫密度的影响,研究其滞后效应,为登革热病媒监测及控制提供依据。方法收集海口市2017—2022年伊蚊幼虫监测数据和气象因子数据,采用X11模型分解分析伊蚊幼虫密度时间序列呈现的季节性及趋势性基本特征,利用Spearman相关系数检验法分析伊蚊幼虫密度与气象因子的相关性。采用分布滞后非线性模型分析气象因素对伊蚊幼虫密度的滞后非线性效应,利用最长滞后时间相对危险度(relative risk,RR)的显著性检验和赤池信息准则最小原则以确定模型最佳参数。结果伊蚊幼虫密度的时间序列分布呈现明显的季节性及下降趋势。分布滞后非线性模型结果显示:与降雨量中位数120 mm相比,随着月平均降雨量的增加,伊蚊幼虫密度的相对危险度先增后减,呈倒“U”型非线性关系。平均降雨量最长滞后时间为1个月,降雨量为119.89~562.14 mm对伊蚊密度有滞后效应(P<0.05),在397.98 mm时相对危险度值最高(RR=1.57,95%CI:1.11~2.20)。与气温中位数25.35℃相比,随月平均气温上升对伊蚊幼虫密度相对危险度增加,呈“J”型。平均气温最长滞后时间为1个月,在25.35~30.10℃之间对伊蚊幼虫密度有滞后效应(P<0.05),在30.10℃时达到峰值(RR=2.24,95%CI:1.24~4.05)。结论高降雨量和高温均对伊蚊幼虫密度具有危险效应,且存在1个月的滞后效应。及时掌握气象因素对伊蚊幼虫密度的影响,可为登革热媒介防控和登革热的早期预警提供依据。 展开更多
关键词 伊蚊幼虫密度 平均降雨量 平均气温 分布滞后非线性模型 海口市
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Factors Affecting the Ovilarval Density of Aedes Spp. Mosquitoes in Selected Rice Fields of Mu^oz, Nueva Ecija
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作者 Jerome Cadiente Soriano Clarissa Yvonne Jueco-Domingo 《Journal of Environmental Science and Engineering(B)》 2016年第5期228-236,共9页
Variables among the macroclimate, microclimate and rice canopy categories and three other different farming systems were evaluated on their effects to the egg and larval density of Aedes spp. mosquitoes known as trans... Variables among the macroclimate, microclimate and rice canopy categories and three other different farming systems were evaluated on their effects to the egg and larval density of Aedes spp. mosquitoes known as transmitters of animal and human diseases. No statistical difference in egg density (#eggs/mL) among farming systems (P = 0.345) were observed. However, there was significant difference in larval density (#1arvae/mL) among farming systems (P 〈 0.001) particularly between organic and conventional farms and between organic and mixed farms at (P 〈 0.05). Among the variables in the macroclimate category, wind velocity and ambient temperature significantly influenced larval density in conventional farms. Among the variables in the microclimate category, water temperature significantly contributed to larval density in both the mixed and conventional farms whereas water turbidity, in conventional farms. Among the variables in the rice canopy category, the number of tillers per plant was a significant contributor to larval density in all farm types. No variable among the environmental exposure categories affected the larval density in organic farms. 展开更多
关键词 Mosquito larval control farming system ovilarval density organic farming Aedes Spp. Mosquito.
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