Cargando…
Epidemic Situation of Brucellosis in Jinzhou City of China and Prediction Using the ARIMA Model
OBJECTIVE: This study aimed to investigate the specific epidemiological characteristics and epidemic situation of brucellosis in Jinzhou City of China so as to establish a suitable prediction model potentially applied as a decision-supportive tool for reasonably assigning health interventions and he...
Autores principales: | Wang, Lulu, Liang, Chen, Wu, Wei, Wu, Shengwen, Yang, Jinghua, Lu, Xiaobo, Cai, Yuan, Jin, Cuihong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595367/ https://www.ncbi.nlm.nih.gov/pubmed/31312278 http://dx.doi.org/10.1155/2019/1429462 |
Ejemplares similares
-
Comparison of ARIMA model and XGBoost model for prediction of human brucellosis in mainland China: a time-series study
por: Alim, Mirxat, et al.
Publicado: (2020) -
Epidemic characteristics and transmission risk prediction of brucellosis in Xi'an city, Northwest China
por: Zhao, Chenxi, et al.
Publicado: (2022) -
ARIMA and ARIMA-ERNN models for prediction of pertussis incidence in mainland China from 2004 to 2021
por: Wang, Meng, et al.
Publicado: (2022) -
Spatial prediction of COVID-19 epidemic using ARIMA techniques in India
por: Roy, Santanu, et al.
Publicado: (2020) -
ARIMA MODEL IN PREDICTING OF COVID-19 EPIDEMIC FOR THE SOUTHERN AFRICA REGION
por: Claris, SHOKO, et al.
Publicado: (2022)