Your browser doesn't support javascript.
loading
Government drivers of breast cancer prevention: A spatiotemporal analysis based on the association between breast cancer and macro factors.
Bai, Xiaodan; Zhang, Xiyu; Shi, Hongping; Geng, Guihong; Wu, Bing; Lai, Yongqiang; Xiang, Wenjing; Wang, Yanjie; Cao, Yu; Shi, Baoguo; Li, Ye.
Afiliación
  • Bai X; Department of Economics, School of Economics, Minzu University of China, Beijing, China.
  • Zhang X; Research Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, China.
  • Shi H; Department of Oncology, Heze Municipal Hospital, Heze, China.
  • Geng G; Department of Economics, School of Economics, Minzu University of China, Beijing, China.
  • Wu B; Research Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, China.
  • Lai Y; Research Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, China.
  • Xiang W; Department of Economics, School of Economics, Minzu University of China, Beijing, China.
  • Wang Y; Department of Economics, School of Economics, Minzu University of China, Beijing, China.
  • Cao Y; Department of Economics, School of Economics, Minzu University of China, Beijing, China.
  • Shi B; Department of Economics, School of Economics, Minzu University of China, Beijing, China.
  • Li Y; Research Center of Health Policy and Management, School of Health Management, Harbin Medical University, Harbin, China.
Front Public Health ; 10: 954247, 2022.
Article en En | MEDLINE | ID: mdl-36268002
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Regresión Espacial / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Public Health Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Regresión Espacial / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Public Health Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza