[Basic principles of statistical methods applied to public health surveillance data analysis: a review]

Statistical methods in public health surveillance data analysis are important for detecting temporal and/or spatial disease clusters, which can indicate an outbreak or an epidemic. In this paper we present a review and literature survey introducing the public health surveillance process and focusing on some statistical methods which are indicated to the data analysis in routine procedure. Comparative studies of these methods are also analyzed.