Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal syndrome in China: a time-series study

OBJECTIVES: Haemorrhagic fever with renal syndrome (HFRS) is a serious threat to public health in China, accounting for almost 90% cases reported globally. Infectious disease prediction may help in disease prevention despite some uncontrollable influence factors. This study conducted a comparison be...

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Detalles Bibliográficos
Autores principales: Wang, Ya-wen, Shen, Zhong-zhou, Jiang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6589045/
https://www.ncbi.nlm.nih.gov/pubmed/31209084
http://dx.doi.org/10.1136/bmjopen-2018-025773

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6589045/
https://www.ncbi.nlm.nih.gov/pubmed/31209084
http://dx.doi.org/10.1136/bmjopen-2018-025773

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