Estimation of representative spatial probabilities and expected counts from baseline data can cause problems in applying spatial scan statistics when observed events are sparse in a large percentage of the spatial zones (e.g., zip codes or census tracts) found in the data records. In applications of scan statistics to datasets with fine spatial resolution, such as census tracts or block groups, such highly skewed data distributions are likely to occur.

Safe drinking water is essential for all communities. Intentional or unintentional contamination of drinking water requires water utilities and local public health to act quickly. The Water Security (WS) initiative of the U.S. Environmental Protection Agency is a multi-faceted approach involving water utilities and local public health officials (LPH) to identify, communicate, contain, and mitigate a drinking water contamination event.

In 2005, three hurricanes made landfall in Florida, with Hurricane Wilma having the most severe impact on Miami-Dade County. Syndromic surveillance is typically used to detect bioterrorism or natural disease outbreaks before specific diagnoses are made. After Wilma, however, the Miami-Dade County Health Department assessed the utility of syndromic data for surveillance of hurricane-related injuries.

Objective

Although the majority of work in syndromic surveillance has been its application to bioterrorism and infectious diseases, one of the emerging priorities for its use is for the monitoring of environmental health conditions. Heat-related illness (HRI) is of growing public health importance, especially with global warming concerns and increased frequency of heat waves. Ambient temperatures are responsible for significant morbidity and mortality, as was demonstrated during the 1995 heat wave in Chicago that resulted in over 700 excess deaths and 33,000 emergency room visits due to HRI.