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Volume 10, Number 7—July 2004
Research

Alert Threshold Algorithms and Malaria Epidemic Detection

Hailay Desta Teklehaimanot*, Joel Schwartz*, Awash Teklehaimanot†, and Marc Lipsitch*
Author affiliations: *Harvard School of Public Health, Boston, Massachusetts, USA; †Columbia University, New York, New York, USA

Main Article

Figure A2

Percent potentially preventable cases (PPC) by number of alerts per year from all districts for each alert threshold algorithm.

Figure A2.  Percent potentially preventable cases (PPC) by number of alerts per year from all districts for each alert threshold algorithm.

Main Article

Page created: November 07, 2011
Page updated: November 07, 2011
Page reviewed: November 07, 2011
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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