Background Infectious diarrhea can lead to a considerable global disease burden. Thus, the
accurate prediction of an infectious diarrhea epidemic is crucial for public health authorities …

Infectious diarrhea is an important public health problem around the world. Meteorological
factors have been strongly linked to the incidence of infectious diarrhea. Therefore …

Bacillary dysentery is still a common and serious public health problem in China. This pa per
is aimed at developing and evaluating an innovative hybrid model, which combines the …

Objectives Influence of meteorological variables on the transmission of bacillary dysentery
(BD) is under investigated topic and effective forecasting models as public health tool are …

Background Infectious diarrhea (ID) has exerted a severe disease burden on the world. The
seasonal ID patterns suggest that meteorological factors (MFs) may influence ID incidence …

Accurate incidence forecasting of infectious disease is critical for early prevention and for
better government strategic planning. In this paper, we present a comprehensive study of …

Objective To compare an autoregressive integrated moving average (ARIMA) model with a
model that combines ARIMA with the Elman recurrent neural network (ARIMA-ERNN) in …

We depicted the epidemiological characteristics of infectious diarrhoea in Jiangsu Province,
China. Generalized additive models were employed to evaluate the age-specific effects of …

Background Hepatitis is a serious public health problem with increasing cases and property
damage in Heng County. It is necessary to develop a model to predict the hepatitis epidemic …

Objectives The aims of this study were to develop a forecasting model for the incidence of
tuberculosis (TB) and analyze the seasonality of infections in China; and to provide a useful …