Department of Remote Sensing and GIS, TarbiatModares University, Tehran, Iran.
Department of Climatology, TarbiatModares University, Tehran, Iran.
Ann Glob Health. 2015 Sep-Oct;81(5):694-704. doi: 10.1016/j.aogh.2015.12.003.
An understanding of the factors that affect the abundance of Anopheline species provides an opportunity to better understand the dynamics of malaria transmission in different regions. Chabahar, located south east of Iran, is the most malarious region in the country.
The main aim of this study was to quantify the spatiotemporal Anopheles population dynamics, response to climatic conditions in Chabahar.
Satellite-based and land-based climatic data were used as explanatory variables. Monthly caught mosquitoes in 6 village sites of Chabahar were used as dependent variable. The spatiotemporal associations were first investigated by inspection of scatter plots and single variable regression analysis. A multivariate linear regression model was developed to reveal the association between environmental variables and the monthly mosquito abundance at a 95% confidence level (P ≤ 0.5).
Results indicated that Anopheles mosquitoes can be found all year in Chabahar with 2 significant seasonal peaks from March to June (primary peak) and September to November (secondary peak). Results of the present study showed that 0.77 of yearly mosquito abundance emerges in the thermal range of 24°C to 30°C and the humidity range of 0.70 to 0.80 in Chabahar.
According to the developed multivariate linear model, 0.88 of temporal variance of mosquito abundance, nighttime land surface temperature, and relative humidity of 15 Universal Time Coordinated (18.30 Iran) are the main drivers of mosquito population dynamics in Chabahar.
了解影响按蚊种群丰度的因素为更好地理解不同地区疟疾传播的动态提供了机会。恰巴哈尔位于伊朗东南部,是该国疟疾最严重的地区。
本研究的主要目的是量化恰巴哈尔的按蚊种群动态及其对气候条件的时空响应。
利用卫星和地面气候数据作为解释变量,以恰巴哈尔 6 个村庄的每月捕获蚊虫作为因变量。首先通过散点图和单变量回归分析检查来研究时空关联。在 95%置信水平(P≤0.5)下,采用多元线性回归模型来揭示环境变量与每月蚊虫丰度之间的关联。
结果表明,恰巴哈尔的按蚊全年均可发现,有 2 个明显的季节性高峰,分别在 3 月至 6 月(主高峰)和 9 月至 11 月(次高峰)。本研究结果表明,恰巴哈尔 0.77 的年蚊虫丰度出现在 24°C 至 30°C 的温度范围和 0.70 至 0.80 的湿度范围。
根据所建立的多元线性模型,恰巴哈尔蚊虫数量的 0.88 的时间方差、夜间地表温度和 15 协调世界时(18.30 伊朗时间)的相对湿度是该地区蚊虫种群动态的主要驱动因素。