Syndromic surveillance typically involves the collection of data from various sources such as emergency department visits, pharmacy sales, school absenteeism, and electronic health records (EHRs). This data is then analyzed using algorithms and statistical methods to identify unusual patterns or clusters of symptoms that may indicate an outbreak.