Comparison of SARIMA model, Holt-winters model and ETS model in predicting the incidence of foodborne disease

Background According to the World Health Organization, foodborne disease is a significant public health issue. We will choose the best model to predict foodborne disease by comparison, to provide evidence for government policies to prevent foodborne illness. Methods The foodborne disease monthly inc...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	BMC Infectious Diseases Jg. 23; H. 1; S. 1 - 9
Hauptverfasser:	Xian, Xiaobing, Wang, Liang, Wu, Xiaohua, Tang, Xiaoqing, Zhai, Xingpeng, Yu, Rong, Qu, Linhan, Ye, Mengliang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer Science and Business Media LLC 16.11.2023 BioMed Central BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	China Disease control Epidemics Epidemiology Estimates Exponential smoothing model Food contamination & poisoning Food safety Foodborne and waterborne diseases Foodborne Disease Foodborne Diseases Forecasting Gastroenteritis Holt-Winters model Humans Incidence Infectious and parasitic diseases Infectious Diseases Internal Medicine Medical Microbiology Medicine Medicine & Public Health Model accuracy Models, Statistical Parameter estimation Parasitology Pathogens Performance prediction Predictions Public health Public policy RC109-216 SARIMA model Seasonal variations Seasons Time series Trends Tropical Medicine China SARIMA model Foodborne Disease Holt-Winters model Exponential smoothing model
ISSN:	1471-2334, 1471-2334
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!