Get Hhs Cdc Cyclosporiasis National Hypothesis Generating Questionnaire 2018

This guide provides comprehensive instructions on filling out the HHS CDC Cyclosporiasis National Hypothesis Generating Questionnaire online. By following these steps, users can effectively navigate the form and provide the necessary information regarding their or their child's recent Cyclospora infection.

Follow the steps to complete the questionnaire efficiently.

1. Press the ‘Get Form’ button to access the questionnaire and open it in your preferred editor.
2. Begin by entering the State/NNDSS ID# in the designated field. This information is important for tracking the questionnaire.
3. In Section 1: Demographic data, provide your state, county, zip code, date of birth, age, sex, Hispanic or Latino origin status, and race. Be as accurate as possible.
4. In Section 2: Clinical information, record key details about the illness, including the onset date, symptoms experienced, hospitalization details, and any dates related to these symptoms.
5. In Section 3: Travel, events, and ill contacts, specify any relevant travel details or events where fresh food was consumed during the 14 days before illness. Include names of cities, states, and countries traveled.
6. In Section 4: Sources of produce at home, list all grocery stores or markets where fresh produce was purchased. Include store names, addresses, and specific foods bought.
7. In Section 5: Sources of produce outside the home, detail any restaurants or food establishments visited during the specified time. Include names and meal details.
8. Proceed to Section 6-9, answering questions about fresh herbs, berries, fruit, leafy greens, and other fresh vegetables consumed. Ensure to specify places of purchase and any relevant details.
9. After completing all sections, review the form for accuracy and completeness. You may save changes, download, print, or share the completed questionnaire as needed.

Complete the HHS CDC Cyclosporiasis National Hypothesis Generating Questionnaire online today to contribute to important health data.