CDC Home

CDC 24/7: Saving Lives. Protecting People.™

Note: Javascript is disabled or is not supported by your browser. For this reason, some items on this page will be unavailable. For more information about this message, please visit this page: About CDC.gov.

Emerging Infectious Disease ISSN: 1080-6059

back to article

- Add this to...
- Favorites
- Del.icio.us
- Digg
- Facebook
- Google Bookmarks
- Yahoo MyWeb

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

Table 1

Characteristics of the study areas

District	Follow-up (y)	Daily microscopically confirmed cases
District	Follow-up (y)	Mean	SD	Minimum	Maximum
Alaba	11.3	39.0	27.3	0	163.0
Awasa	7.7	11.3	11.0	0	77.4
Bahirdar	7.3	22.1	15.2	0	83.3
Debrezeit	11.2	25.3	25.8	0.9	146.7
Diredawa	9.8	25.3	29.5	0.4	329.9
Hosana	11.3	19.4	17.4	0.1	95.7
Jimma	10.3	13.2	14.0	0.3	85.3
Nazareth	9.3	17.7	16.0	0	109.3
Wolayita	9.3	13.9	12.1	0	113.1
Zeway	8.3	22.0	17.5	1.1	102.0