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

WANG Duo Quan GUZheng Cheng ZHENG Xiang GUO Yun TANG Lin Hua

WANG Duo Quan, GUZheng Cheng, ZHENG Xiang, GUO Yun, TANG Lin Hua. Application of Auto-regressive Linear Model in Understanding the Effect of Climate on Malaria Vectors Dynamics inthe Three Gorges Reservoir[J]. Biomedical and Environmental Sciences, 2014, 27(10): 811-814. doi: 10.3967/bes2014.117
Citation: WANG Duo Quan, GUZheng Cheng, ZHENG Xiang, GUO Yun, TANG Lin Hua. Application of Auto-regressive Linear Model in Understanding the Effect of Climate on Malaria Vectors Dynamics inthe Three Gorges Reservoir[J]. Biomedical and Environmental Sciences, 2014, 27(10): 811-814. doi: 10.3967/bes2014.117

doi: 10.3967/bes2014.117
基金项目: The work was funded by the Public Project (20080219) of the Ministry of Science and Technology, PRC

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

Funds: The work was funded by the Public Project (20080219) of the Ministry of Science and Technology, PRC
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出版历程
  • 刊出日期:  2014-10-20

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

doi: 10.3967/bes2014.117
    基金项目:  The work was funded by the Public Project (20080219) of the Ministry of Science and Technology, PRC

English Abstract

WANG Duo Quan, GUZheng Cheng, ZHENG Xiang, GUO Yun, TANG Lin Hua. Application of Auto-regressive Linear Model in Understanding the Effect of Climate on Malaria Vectors Dynamics inthe Three Gorges Reservoir[J]. Biomedical and Environmental Sciences, 2014, 27(10): 811-814. doi: 10.3967/bes2014.117
Citation: WANG Duo Quan, GUZheng Cheng, ZHENG Xiang, GUO Yun, TANG Lin Hua. Application of Auto-regressive Linear Model in Understanding the Effect of Climate on Malaria Vectors Dynamics inthe Three Gorges Reservoir[J]. Biomedical and Environmental Sciences, 2014, 27(10): 811-814. doi: 10.3967/bes2014.117

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