Predicting pulmonary tuberculosis incidence in China using Baidu search index: an ARIMAX model approach.

Yang, Jing; Zhou, Jie; Luo, Tingyan; Xie, Yulan; Wei, Yiru; Mai, Huanzhuo; Yang, Yuecong; Cui, Ping; Ye, Li; Liang, Hao; Huang, Jiegang

Yang, Jing; Zhou, Jie; Luo, Tingyan; Xie, Yulan; Wei, Yiru; Mai, Huanzhuo; Yang, Yuecong; Cui, Ping; Ye, Li; Liang, Hao; Huang, Jiegang.

Afiliación

Yang J; Guangxi Key Laboratory of AIDS Prevention and Treatment.
Zhou J; School of Public Health, Guangxi Medical University.
Luo T; Guangxi Key Laboratory of AIDS Prevention and Treatment.
Xie Y; School of Public Health, Guangxi Medical University.
Wei Y; Guangxi Key Laboratory of AIDS Prevention and Treatment.
Mai H; School of Public Health, Guangxi Medical University.
Yang Y; Guangxi Key Laboratory of AIDS Prevention and Treatment.
Cui P; School of Public Health, Guangxi Medical University.
Ye L; Guangxi Key Laboratory of AIDS Prevention and Treatment.
Liang H; School of Public Health, Guangxi Medical University.
Huang J; Guangxi Key Laboratory of AIDS Prevention and Treatment.

Environ Health Prev Med ; 28: 68, 2023.

Article en En | MEDLINE | ID: mdl-37926526

Asunto(s)

Modelos Estadísticos; Tuberculosis Pulmonar; Humanos; Incidencia; Tuberculosis Pulmonar/epidemiología; China/epidemiología

Palabras clave

ARIMA model; Internet search index; PTB; Predictive model

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 3_ND Problema de salud: 3_neglected_diseases / 3_tuberculosis Asunto principal: Tuberculosis Pulmonar / Modelos Estadísticos Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Environ Health Prev Med Año: 2023 Tipo del documento: Article

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