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1.
Prev Chronic Dis ; 19: E31, 2022 06 16.
Artículo en Inglés | MEDLINE | ID: mdl-35709356

RESUMEN

Local-level data on the health of populations are important to inform and drive effective and efficient actions to improve health, but such data are often expensive to collect and thus rare. Population Level Analysis and Community EStimates (PLACES) (www.cdc.gov/places/), a collaboration between the Centers for Disease Control and Prevention (CDC), the Robert Wood Johnson Foundation, and the CDC Foundation, provides model-based estimates for 29 measures among all counties and most incorporated and census-designated places, census tracts, and ZIP Code tabulation areas across the US. PLACES allows local health departments and others to better understand the burden and geographic distribution of chronic disease-related outcomes in their areas regardless of population size and urban-rural status and assists them in planning public health interventions. Online resources allow users to visually explore health estimates geographically, compare estimates, and download data for further use and exploration. By understanding the PLACES overall approach and using the easy-to-use PLACES applications, practitioners, policy makers, and others can enhance their efforts to improve public health, including informing prevention activities, programs, and policies; identifying priority health risk behaviors for action; prioritizing investments to areas with the biggest gaps or inequities; and establishing key health objectives to achieve community health and health equity.


Asunto(s)
Equidad en Salud , Población Rural , Centers for Disease Control and Prevention, U.S. , Humanos , Salud Pública , Estados Unidos
2.
Am J Public Health ; 109(S4): S325-S331, 2019 09.
Artículo en Inglés | MEDLINE | ID: mdl-31505141

RESUMEN

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.


Asunto(s)
Sistema de Vigilancia de Factor de Riesgo Conductual , Planificación en Desastres/métodos , Sistemas de Información Geográfica , Adulto , Anciano , Anciano de 80 o más Años , Tormentas Ciclónicas , Urgencias Médicas , Humanos , Persona de Mediana Edad , Evaluación de Necesidades , North Carolina , Enfermedad Pulmonar Obstructiva Crónica/epidemiología , South Carolina
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