The impact of climatic variables on the population dynamics of the main malaria vector, Anopheles stephensi Liston(Diptera: Culicidae), in southern Iran
作者机构：Deparment of Medical Entomology&Vector ControlSchool of Public HealthTehran University of Medical SciencesTehranIran Infectious and Tropical Diseases Research CenterTabriz University of Medical SciencesTabrizIran Department of Epidemiology and BiostatisticsSchool of Public HealthTehran University of Medical SciencesTehranIran Molecular Medicine Research CenterTabriz University of Medical SciencesTabrizIran Department of Statistics and EpidemiologyFaculty of HealthTabriz University of Medical SciencesTabrizIran Department of Parasitology&MycologyParamedical SchoolShahid Beheshti University of Medical SciencesTehranIran
出 版 物：《Asian Pacific Journal of Tropical Medicine》 (亚太热带医药杂志（英文版）)
年 卷 期：2020年第13卷第10期
页 面：448-455页
核心收录：
学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学]
基 金：financially supported by Research Deputy Tehran University of Medical Sciences Project No.29953
主 题：Anopheles stephensi Climatic variables Monthly activity Iran
摘 要：Objective:To determine the significance of temperature,rainfall and humidity in the seasonal abundance of Anopheles stephensi in southern ***:Data on the monthly abundance of Anopheles stephensi larvae and adults were gathered from earlier studies conducted between 2002 and 2019 in malaria prone areas of southeastern *** data for the studied counties were obtained from climatology *** estimating equations method was used for cluster correlation of data for each study site in different ***:A significant relationship was found between monthly density of adult and larvae of Anopheles stephensi and precipitation,max temperature and mean temperature,both with simple and multiple generalized estimating equations analysis(P0.05).But when analysis was done with one month lag,only relationship between monthly density of adults and larvae of Anopheles stephensi and max temperature was significant(P0.05).Conclusions:This study provides a basis for developing multivariate time series models,which can be used to develop improved appropriate epidemic prediction systems for these ***-term entomological study in the studied sites by expert teams is recommended to compare the abundance of malaria vectors in the different areas and their association with climatic variables.
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