References

Buckeridge, D. L., Burkom, H., Campbell, M., et al. (2005). Algorithms for rapid outbreak detection: a research synthesis. J Biomed Inform 38:99-113. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd= Retrieve&db=PubMed&dopt=Citation&list_uids=15797000. Centers for Disease Control and Prevention. (2001). First Report of AIDS. MMWR Morb Mortal Wkly Rep 50:429. http://www.cdc.gov/mmwr/PDF/wk/mm5021.pdf. Chen, J.-H., Schmit, K., Chang, H., et al. (2004). Use of medicaid prescription data for syndromic surveillance—New York. MMWR Morb Mortal Wkly Rep 54(Suppl):31-4. Cooper DL, Verlander NQ, Smith GE, et al. (2006). Can syndromic surveillance data detect local outbreaks of communicable disease? A model using a historical cryptosporidiosis outbreak. Epidemiol Infect vol. 134, no. 1, pp. 13-20. Delichatsios, H., Callahan, M., Charlson, M. (1998). Outcomes of telephone medical care. J Gen Intern Med 13:9, 579-85. http://www.ncbi.nlm.nih.gov/entrez/query. fcgi?cmd=Retrieve&db= PubMed&dopt=Citation&list_uids=9754512. Doroshenko, A., Cooper, D., Smith, G., et al. (2004). Evaluation of syn-dromic surveillance based on NHS Direct derived data in England and Wales. MMWR Morb Mortal Wkly Rep 54(Suppl):117-22. Espino, J. U., Hogan,W., Wagner, M. M. (2003).Telephone triage: A timely data source for surveillance of influenza-like diseases. In: Proceedings of American Medical Informatics Association Symposium, 215-9. Galimi, J. (1999). The Market for Medical Call Center Applications: Gartner Group.

Henning, K. J. (2004). What is syndromic surveillance? MMWR Morb Mortal Wkly Rep 53(Suppl):5-11. http://www.ncbi.nlm.nih.gov/entrez/ query. fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids= 15714620.

Henry, J. V., Magruder, S. and Snyder, M. (2004). Comparison of office visit and nurse advice hotline data for syndromic surveillance-Baltimore-Washington, D. C., metropolitan area, 2002. MMWR Morb Mortal Wkly Rep, vol. 53 Suppl, no., pp. 112-6. http://www.ncbi.nlm.nih.gov/entrez/query.fcqi cmd=Retrieve&db=PubMed&dopt=Citation&list uids=15714639.

Henry, J. V., Magruder, S., Snyder, M. (2004b). Comparison of office visit and nurse advice hotline data for syndromic surveillance— Baltimore-Washington, D.C., metropolitan area, 2002. MMWR Morb Mortal Wkly Rep 53(Suppl):112-6. http://www.ncbi.nlm.nih.gov/entrez/query. fcgi?cmd=Retrieve&db= PubMed & dopt=Citation & list_uids=15714639.

Li, C.-S., Aggarwal, C. (2003). Epi-SPIRE: A System for Environmental and Public Health Monitoring. Paper presented at IEEE International Conference on Multimedia & Expo, July.

Ma, H., Rolka, H., Mandl, K., et al. (2004). Implementation of laboratory order data in BioSense early event detection and situation awareness system. MMWR Morb Mortal Wkly Rep 54(Suppl):27-30.

Maggini, M., Salmaso, S., Alegiani, S. S., et al. (1991). Epidemiological use of drug prescriptions as markers of disease frequency: an Italian experience. J Clin Epidemiol 44:1299-307. http://www.ncbi.nlm.nih.gov/entrez/query. fcgi?cmd=Retrieve&db= PubMed&dopt=Citation&list_uids=1753261.

Magruder, S. F., Henry, J., Snyder, M. (2004). Linked analysis for definition of nurse advice line syndrome groups, and comparison to encouters. MMWR Morb Mortal Wkly Rep 54(Suppl):93-97.

Pavlin, J., Murdock, P., Elbert, E., et al. (2004). Conducting population behavioral health surveillance using automated diagnostic and pharmacy systems. MMWR Morb Mortal Wkly Rep 53 (Suppl): 166-72.

Platt, R., Bocchino, C., Caldwell, B., et al. (2003). Syndromic surveillance using minimum transfer of identifiable data: the example of the National Bioterrorism Syndromic Surveillance Demonstration Program. J Urban Health 80(Suppl 1):i25-31. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db= PubMed&dopt=Citation&list_uids=12791776.

Sabin, M. (1998). Telephone triage improves demand management effectiveness. Healthcare Financ Manag 52:49-51. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db= PubMed&dopt=Citation & list_uids=10182276.

Wagner, M., Pavlin, J., Brillman, J., et al. (2004). Synthesis of Research on the Value of Unconventional Data for Early Detection of Disease Outbreaks. Washington, DC: Defense Advanced Research Projects Agency. http://rods.health.pitt.edu/.

Wagner, M. M.,Aryel, R., Dato, V. (2001). Availability and

Comparative Value of Data Elements Required for an Effective Bioterrorism Detection System. Washington, DC: Agency for Healthcare Research and Quality.

Yih, W. K., Caldwell, B., Harmon, R., et al. (2004). National

Bioterrorism Syndromic Surveillance Demonstration Program. MMWR Morb Mortal Wkly Rep 53(Suppl):43-9. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db= PubMed&dopt=Citation&list_uids=15714626.

Yokoe, D. S., Subramanyan, G. S., Nardell, E., et al. (1999).

Supplementing tuberculosis surveillance with automated data from health maintenance organizations. Emerg Infect Dis 5:779-87. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db= PubMed&dopt=Citation&list_uids=10603211.

This Page Intentionally Left Blank

Was this article helpful?

0 0

Post a comment