TIME-SERIES ANALYSIS OF NON-TYPHOIDAL SAL MONELLA INFECTIONS

The use of time series modeling for non-typhoidal salmonella infection s is important for improving epidemiological surveillance. Specific te chniques which were necessary for our objectives are detailed in an ac compagnying paper. For each series analysed, we discuss how to choose an appropriate statistical model taking into account both the data str ucture and the specific objectives. For salmonella infections, we have quantified a <<media coverage effect>>, constructed an alert threshol d and estimated a link between two series. We have thus shown that the analysis of temporal variations is of relevance in public health and can contribute to epidemiological knowledge.