Data obtained through public health surveillance systems are used to detect and locate clusters of cases of diseases in spacetime, which may indicate the occurrence of an outbreak or an epidemic (1Á5). We present a methodology based on ALRs to compare the null hypothesis (no outbreaks) against the alternative hypothesis (presence of an emerging disease cluster).