Comparison of ARIMA model and XGBoost model for prediction of human brucellosis in mainland China: a time-series study.

ABSTRACT:

Objectives

Human brucellosis is a public health problem endangering health and property in China. Predicting the trend and the seasonality of human brucellosis is of great significance for its prevention. In this study, a comparison between the autoregressive integrated moving average (ARIMA) model and the eXtreme Gradient Boosting (XGBoost) model was conducted to determine which was more suitable for predicting the occurrence of brucellosis in mainland China.

Design

Time-series study.

Setting

Mainland China.

Methods

Data on human brucellosis in mainland China were provided by the National Health and Family Planning Commission of China. The data were divided into a training set and a test set. The training set was composed of the monthly incidence of human bruc

SUBMITTER: Alim M 

PROVIDER: S-EPMC7722837 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature