Table of Contents

1. Disease Surveillance (J. Lombardo & D. Ross).

2. Understanding the Data (S. Babin, et al.).

3. Obtaining the Data (R. Wojcik, et al.).

4. Alerting Algorithms for Biosurveillance (H. Burkom).

5. Putting It Together (L. Hauenstein, et al.).

6. Modern Disease Surveillance (S. Lewis, et al.).

7. Canadian Applications (J. Aramini & S. Mukhi).

8. Telehealth in England and Wales (D. Cooper).

9. EWORS amd Alerta DISAMAR (J. Chretien, et al.).

10. Evaulating Automated Surveillance Systems (D. Buckeridge, et al.).

11. Educating the Workforce (H. Lehmann).

12. The Road Ahead (J. Lombardo).

Index.

About the Author

Joseph S. Lombardo, MS, is Program Manager for Bio Information Systems in the National Security Technology Department at The Johns Hopkins University Applied Physics Laboratory. He is the Director of the JHU/APL Center of Excellence in Public Health Informatics.

David L. Buckeridge, MD, PhD, is Assistant Professor and a Canadian Research Chair in the Department of Epidemiology, Biostatistics, and Occupational Health at McGill University. His research interests include public health informatics and surveillance systems, outbreak simulation, and the influence of surveillance information on decision-making in public health.

Reviews

"The book is especially valuable for anyone interested in automated disease surveillance because of its broad scope addressing all issues related to developing and operating automated disease surveillance systems." (Biometrics, June 2009 ) "This book is essential reading for those learning about public health disease surveillance and for statisticians working with public health professional to improve the sensitivity, specificity, timeliness and cost-effectiveness of current surveillance systems." (Journal of the American Statistical Association, June 2008)