Application of Auto-regressive Linear Model in Understanding the Effect of Climate on Malaria Vectors Dynamics in the Three Gorges Reservoir.

Author: Duo Quan WANG ^{1
,

2
,

3} ; Zheng Cheng GU ¹ ; Xiang ZHENG ¹ ; Yun GUO ¹ ; Lin Hua TANG ¹ ;
Author Information

1. National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention
2. WHO Collaborating Centre for Malaria, Schistosomiasis and Filariasis
3. Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai 200025, China.
Publication Type:Letter
MeSH: Animals; China; Climate; Culicidae; physiology; Insect Vectors; physiology; Lakes; Linear Models; Malaria; parasitology; transmission; Models, Biological; Plasmodium; physiology; Population Density; Population Dynamics; Rain; Seasons; Temperature
From: Biomedical and Environmental Sciences 2014;27(10):811-814
CountryChina
Language:English
Abstract: It is important to understand the dynamics of malaria vectors in implementing malaria control strategies. Six villages were selected from different sections in the Three Gorges Reservoir for exploring the relationship between the climatic factors and its malaria vector density from 1997 to 2007 using the auto-regressive linear model regression method. The result indicated that both temperature and precipitation were better modeled as quadratic rather than linearly related to the density of Anopheles sinensis.