Your browser doesn't support javascript.
loading
Application of Auto-regressive Linear Model in Understanding the Effect of Climate on Malaria Vectors Dynamics in the Three Gorges Reservoir.
Wang, Duo Quan; Gu, Zheng Cheng; Zheng, Xiang; Guo, Yun; Tang, Lin Hua.
Afiliación
  • Wang DQ; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; WHO Collaborating Centre for Malaria, Schistosomiasis and Filariasis; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai 200025, China.
  • Gu ZC; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; WHO Collaborating Centre for Malaria, Schistosomiasis and Filariasis; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai 200025, China.
  • Zheng X; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; WHO Collaborating Centre for Malaria, Schistosomiasis and Filariasis; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai 200025, China.
  • Guo Y; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; WHO Collaborating Centre for Malaria, Schistosomiasis and Filariasis; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai 200025, China.
  • Tang LH; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; WHO Collaborating Centre for Malaria, Schistosomiasis and Filariasis; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai 200025, China.
Biomed Environ Sci ; 27(10): 811-4, 2014 Oct.
Article en En | MEDLINE | ID: mdl-25341817

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Clima / Insectos Vectores / Modelos Biológicos / Culicidae Tipo de estudio: Prognostic_studies Límite: Animals País/Región como asunto: Asia Idioma: En Revista: Biomed Environ Sci Asunto de la revista: SAUDE AMBIENTAL Año: 2014 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Clima / Insectos Vectores / Modelos Biológicos / Culicidae Tipo de estudio: Prognostic_studies Límite: Animals País/Región como asunto: Asia Idioma: En Revista: Biomed Environ Sci Asunto de la revista: SAUDE AMBIENTAL Año: 2014 Tipo del documento: Article País de afiliación: China