Technical Guidelines on Detection and Control of Epidemic Yellow Fever

These Technical Guidelines on the Detection and Control of Epidemic Yellow Fever were prepared by the Data for Decision Making Project of the International Branch / Epidemiology Program Office of the National Centers for Disease Control and Prevention, 1600 Clifton Road Atlanta, Georgia, 30333, USA.

The goal of the Data for Decision Making Project is to increase the use of epidemiologic, economic, demographic, and other data in formulating and implementing public health policies and programs. The purpose of these Guidelines is to assist public health officials in Africa in preparing for and responding to epidemics of yellow fever. The Guidelines may also be useful to international, bilateral and non-governmental agencies which assist countries in efforts to control yellow fever epidemics.

These Guidelines are meant for district level staff who are responsible for detection and control of epidemics. The Guidelines will help a district health team make their district ready to detect and control an epidemic of yellow fever. District team members who attend a training workshop based on these guidelines, and who work on the follow-up projects in their places of work, should be able to:

bulletdetect and investigate an epidemic of yellow fever
bulletarrange for confirmation of a suspected epidemic;
bulletcollect and analyze the data needed to make essential decisions
bulletinstitute treatment and control measures
bulletplan for financing the epidemic preparedness strategy and
bulletmake an epidemic preparedness action plan.

Acknowledgments

The Data for Decision Making Project (Project Number 936-5991) was supported by the United States Agency for International Development under a Participating Agency Service Agreement (PASA Number DPE-5991-X-HC). The following people contributed to the development of the Technical Guidelines and training materials: Robert Craven, Bradley A. Perkins, James Zingeser, Richard Greene, Karen Wilkins, Anne E. Rodman and Marguerite Pappaioanou.

Additional information may be obtained by contacting the Data for Decision Making Project.

 

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