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[Application of ARIMA model in predicting the incidence of tuberculosis in China from 2018 to 2019].
Yan, C Q; Wang, R B; Liu, H C; Jiang, Y; Li, M C; Yin, S P; Xiao, T Y; Wan, K L; Rang, W Q.
Afiliación
  • Yan CQ; School of Public Health, University of South China, Hengyang 421001, China.
  • Wang RB; State Key Laboratory for Infectious Diseases Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Liu HC; State Key Laboratory for Infectious Diseases Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Jiang Y; State Key Laboratory for Infectious Diseases Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Li MC; State Key Laboratory for Infectious Diseases Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Yin SP; State Key Laboratory for Infectious Diseases Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Xiao TY; State Key Laboratory for Infectious Diseases Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Wan KL; State Key Laboratory for Infectious Diseases Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Rang WQ; School of Public Health, University of South China, Hengyang 421001, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 40(6): 633-637, 2019 Jun 10.
Article en Zh | MEDLINE | ID: mdl-31238610
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Tuberculosis / Modelos Estadísticos Tipo de estudio: Diagnostic_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Año: 2019 Tipo del documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Tuberculosis / Modelos Estadísticos Tipo de estudio: Diagnostic_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Año: 2019 Tipo del documento: Article