Your browser doesn't support javascript.
loading
Early Warning and Prediction of Scarlet Fever in China Using the Baidu Search Index and Autoregressive Integrated Moving Average With Explanatory Variable (ARIMAX) Model: Time Series Analysis.
Luo, Tingyan; Zhou, Jie; Yang, Jing; Xie, Yulan; Wei, Yiru; Mai, Huanzhuo; Lu, Dongjia; Yang, Yuecong; Cui, Ping; Ye, Li; Liang, Hao; Huang, Jiegang.
Afiliação
  • Luo T; School of Public Health, Guangxi Medical University, Nanning, China.
  • Zhou J; Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China.
  • Yang J; School of Public Health, Guangxi Medical University, Nanning, China.
  • Xie Y; Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China.
  • Wei Y; School of Public Health, Guangxi Medical University, Nanning, China.
  • Mai H; Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China.
  • Lu D; School of Public Health, Guangxi Medical University, Nanning, China.
  • Yang Y; Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China.
  • Cui P; School of Public Health, Guangxi Medical University, Nanning, China.
  • Ye L; Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China.
  • Liang H; School of Public Health, Guangxi Medical University, Nanning, China.
  • Huang J; Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, China.
J Med Internet Res ; 25: e49400, 2023 10 30.
Article em En | MEDLINE | ID: mdl-37902815
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Escarlatina / Modelos Estatísticos Limite: Humans País/Região como assunto: Asia Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Escarlatina / Modelos Estatísticos Limite: Humans País/Região como assunto: Asia Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China