Predicting the Spatial-Temporal Distribution of Human Brucellosis in Europe Based on Convolutional Long Short-Term Memory Network.

Shen, Li; Jiang, Chenghao; Sun, Minghao; Qiu, Xuan; Qian, Jiaqi; Song, Shuxuan; Hu, Qingwu; Yelixiati, Heilili; Liu, Kun

Shen, Li; Jiang, Chenghao; Sun, Minghao; Qiu, Xuan; Qian, Jiaqi; Song, Shuxuan; Hu, Qingwu; Yelixiati, Heilili; Liu, Kun.

Afiliación

Shen L; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
Jiang C; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
Sun M; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
Qiu X; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
Qian J; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
Song S; Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, China.
Hu Q; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
Yelixiati H; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
Liu K; Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, China.

Can J Infect Dis Med Microbiol ; 2022: 7658880, 2022.

Article en En | MEDLINE | ID: mdl-35967090

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Can J Infect Dis Med Microbiol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Egipto

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