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Miss Jane's Building (Edisto Library Temporary Location)
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Dorchester Road Library
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Small Area Estimates of Populations With Chronic Conditions for Community Preparedness for Public Health Emergencies.
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- Author(s): Holt, James B. (AUTHOR); Matthews, Kevin A. (AUTHOR); Lu, Hua (AUTHOR); Wang, Yan (AUTHOR); LeClercq, Jennifer M. (AUTHOR); Greenlund, Kurt J. (AUTHOR); Thomas, Craig W. (AUTHOR)
- Source:
American Journal of Public Health. 2019 Suppl 4, Vol. 109, pS325-S331. 7p. - Source:
- Additional Information
- Subject Terms:
- Subject Terms:
- Abstract: Objectives. To demonstrate a flexible and practical method to obtain near real-time estimates of the number of at-risk community-dwelling adults with a chronic condition in a defined area potentially affected by a public health emergency. Methods. We used small area estimation with survey responses from the 2016 Behavioral Risk Factor Surveillance System together with a geographic information system to predict the number of adults with chronic obstructive pulmonary disease who lived in the forecasted path of Hurricane Florence in North and South Carolina in 2018. Results. We estimated that a range of 32 002 to 676 536 adults with chronic obstructive pulmonary disease resided between 50 and 200 miles of 3 consecutive daily forecasted landfalls. The number of affected counties ranged from 8 to 10 (at 50 miles) to as many as 119 to 127 (at 200 miles). Conclusions. Community preparedness is critical to anticipating, responding to, and ameliorating these health threats. We demonstrated the feasibility of quickly producing detailed estimates of the number of residents with chronic conditions who may face life-threatening situations because of a natural disaster. These methods are applicable to a range of planning and response scenarios. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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