Abstract
We present results from a collaborative pilot project designed to assess the accuracy of Internet panel surveys for behavioral health surveillance. Data were collected using three sampling methods that differ with respect to recruitment strategy, sample selection and sample matching to the US adult population in four states and Metropolitan Statistical Areas. We present comparative analyses that assess the advantages and disadvantages of these methods with respect to cost, geography, timeliness, usability, and ease of use for technology transfer to states and local communities. Recommendations for future efforts in behavioral health surveillance are given based on these results.