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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5305	Centers for Disease Control and Prevention	Html	en	Asthma Prevalence, Disease Characteristics, and Self-Management Education - United States, 2001-2009 - Press Briefing Transcript: May 3, 2011	CDC Vital Signs: Asthma Prevalence, Disease Characteristics, and Self-Management Education — United States, 2001–2009	fine particulate matter 0.3128 World Asthma 0.425818 primary care providers 0.295181 asthma care 0.415388 Dr. Garbe 0.394115 press star 0.280065 asthma victims 0.395345 asthma exacerbations 0.386298 Dr. Ileana Arias 0.294173 asthma attacks 0.483122 New York State 0.290674 asthma 0.987645 asthma control 0.519483 asthma attack 0.431774 Ileana Arias 0.3485 active research question 0.284389 common asthma triggers 0.436405 primary care provider 0.296767 asthma management 0.391878 Los Angeles Times 0.294263 Dr. Arias 0.439799 Roni Rabin 0.293356 Operator 0.279427 persistent asthma 0.460317 good question 0.306031	Dr. Paul Garbe 0.343402 Bernadette Burden 0.709427 Ms. Bernadette Burden 0.299633 asthma treatment 0.38922 Tom Maugh 0.310125 state programs 0.309461 health departments 0.277703 asthma prevalence 0.503241 intermittent asthma 0.390407 Paul Garbe 0.84565 health care 0.291299 question 0.44741 good asthma action 0.405464 certified asthma educator 0.427351 health 0.354438 asthma action plan 0.485527 people 0.412119 Connecticut asthma program 0.436137 asthma exacerbater 0.390844 National Asthma Education 0.436711 in-home asthma education 0.433878 asthma education 0.444821 primary care 0.356184 asthma symptoms 0.423562	CLICK HERE
7516	Centers for Disease Control and Prevention	Html	en	NCEH A to Z Index - Z	Resources for the National Center for Environmental Health	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
7592	Centers for Disease Control and Prevention	Html	en	TB Fact Sheet - The TB Skin Test	Centers for Disease Control and Prevention, Division of Tuberculosis Elimination	latent TB infection 0.571404 sings 0.217897 TB skin test 0.523131 TB disease 0.848566 air 0.235085 laughs 0.219029 kidneys 0.218388 body 0.285925 testing material 0.269421 local health department 0.32541 small needle 0.270122 lungs 0.295569 blood test measures 0.318489 TB blood test 0.631723 phlegm 0.218731 TB infection 0.639347 health care worker 0.320652	cases 0.213892 reaction 0.21369 tuberculosis 0.219375 spine 0.214691 sick person 0.294898 brain 0.214281 people 0.225907 sneezes 0.216284 TB 0.91723 doctor 0.213887 inactive germs 0.381417 tests 0.241713 speaks 0.216573 parts 0.214328 chest x-ray 0.270966 time 0.214043 TB germs 0.790206	CLICK HERE
9709	Centers for Disease Control and Prevention	Html	es	Para poblaciones específicas - Consejos de Exfumadores	Estadísticas relacionadas con el tabaquismo, información y recursos para dejar de fumar destinados a grupos específicos. Parte de la campaña Consejos de exfumadores que muestra casos reales de personas que padecen afecciones por fumar o por la exposición al humo de segunda mano	Archivo Apple Quicktime 0.676607 Archivo RealPlayer 0.563744 Archivo Zip Comprimido 0.668929 Archivo Microsoft PowerPoint 0.702874	Archivo Microsoft Excel 0.666217 Archivo Adobe PDF 0.664988 Archivo Microsoft 0.93116 Archivo Microsoft Word 0.697009	CLICK HERE
10234	Centers for Disease Control and Prevention	Html	en	Water Quality After a Tsunami	CDC provides information for survivors and clinicians on tsunami health and safety concerns including flooding, disease outbreaks, food safety, water quality, and cleanup.	volcanic eruption 0.781747 U.S. coastline 0.653322 health concerns 0.617641 underwater disturbance 0.754305 earthquake 0.403035 landslide 0.440149 enormous waves 0.840264	water safety 0.576533 tsunami 0.528515 series 0.350738 tsunamis 0.5936 meteorite 0.433469 information 0.344084	CLICK HERE
10538	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Adoption of Sodium Reduction Strategies in Small and Rural Hospitals, Illinois, 2012 - CDC	Sodium reduction strategies on a population-based level are promoted as a public health intervention. Small and rural hospitals in Illinois were funded to adopt sodium reduction strategies as an intervention, have their hospital cafeteria and vending machines assessed via an environmental scan, and participate in an evaluation. Intervention strategies to identify and to label lower-sodium foods were implemented most, and pricing strategies were implemented least among funded hospitals. The sodium reduction strategies implemented could be replicated in other small and rural hospitals, because they were done with minimal funding and with minimal barriers.	public health intervention 0.496404 population-based level 0.474656 funded hospitals 0.769019 lower-sodium foods 0.473166 Illinois Hospital Association 0.504661 unfunded hospitals 0.6062 rural hospitals 0.712583 sodium reduction 0.990739 Disease Control 0.503701 newly offered food 0.474686 current food environment 0.475516 sodium information 0.575062 sodium reduction initiative 0.649285 sodium reduction strategies 0.950474 work site employees 0.47193 environmental scan 0.551026 sodium content 0.524801 hospital cafeteria 0.500469 grant funding 0.494 sodium reduction activities 0.717731 Heart Disease 0.513841 rural Illinois hospitals 0.560491 funded sites pre-assessment 0.506202 grant funding period 0.472358 food categories 0.480182	Illinois Heart Disease 0.47699 hospital cafeterias 0.473593 Include sodium information 0.543978 sodium consumption 0.518691 4-month period 0.473056 intervention strategy 0.482363 pricing strategies 0.473089 sodium messages 0.52912 Hospital Nutrition Environment 0.495867 Lower-sodium food options 0.480223 healthful food items 0.485466 hospital food environment 0.560974 public health 0.560701 food environment 0.581194 current hospital food 0.499346 CDC Heart Disease 0.473361 Stroke Prevention 0.513658 Illinois Cardiovascular Program 0.474387 hospital facilities 0.471849 core food team 0.473038 Hospitals Environmental Scan 0.548744 high blood pressure 0.472977 hospital environmental scan 0.501321 Intervention strategies 0.479503	CLICK HERE
11636	Centers for Disease Control and Prevention	Html	en	Fungal Eye Infections | Types of Diseases | Fungal Diseases | CDC	null	different types 0.363716 fungal eye infection 0.940894 Fungal eye infections 0.971573 inflammation 0.288847	plant material 0.388655 common way 0.396408 eye injury 0.340636 fungal topics 0.571786	CLICK HERE
11884	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease GIS Snapshot | Geographic Disparities in Declining Rates of Heart Disease Mortality in the Southern United States, 1973"2010 - CDC	In the United States, heart disease mortality has decreased since the 1950s (1). However, these declines have not occurred uniformly across the country, and slower rates of decline may indicate increased need for heart disease prevention policies and programs (2). In this article, we document the geographic inequalities in declining heart disease death rates in the South — a region with high heart disease mortality rates. We also consider methods for generating county-level estimates of changing heart disease death rates.	heart disease death 0.747262 heart disease mortality 0.631648 county-level percentage decline 0.35946 disease death rates 0.759358 biennial county-level heart 0.275164 west Texas 0.200529 county-level temporal changes 0.252422 Disease Control 0.276995 concentrated poverty rates 0.218325 disease prevention policies 0.24196 heart disease 0.916549 public health 0.250462 heart disease deaths 0.29424	disease mortality rates 0.260614 disease prevention efforts 0.216563 county-level random intercept 0.250524 county-level heart disease 0.37499 Southern United States 0.200476 county-level estimates 0.21508 county-level percentage declines 0.296735 heart disease prevention 0.314394 fastest declines 0.20091 County-level population estimates 0.251689 slowest declines 0.201719 mean county-level percentage 0.252719	CLICK HERE
12679	Centers for Disease Control and Prevention	Video	en	I Never Get The Flu	If you think 2009 H1N1 flu cant affect you, your family, or your friends—think again. Take sixty seconds to watch a video that reminds you why vaccination is so important. All of the excuses any of us make dont stand a chance against this serious disease. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://www.cdc.gov/podcasts	flu 0.914445		CLICK HERE
15234	Centers for Disease Control and Prevention	Html	en	Communication Resources | Youth Risk Behavior Surveillance System | Data | Adolescent and School Health | CDC	null	Behavior Survey 0.539616 surveys 0.4219 Twitter 0.431598 sexual behaviors 0.620205 local levels 0.553079 health risk behaviors 0.754055 drug 0.425014 unintentional injuries 0.587494 urban school districts 0.659011 Youth Risk Behavior 0.916076 unintended pregnancy 0.582078 state 0.424347 national YRBS data 0.656966 obesity 0.433354 violence 0.428238 tobacco alcohol 0.557944 YRBSS 0.443429	National Youth Risk 0.658764 CDC’s Youth 0.568249 CDC_DASH 0.422472 high school students 0.900956 priority 0.435524 sexually transmitted diseases 0.710855 U.S. high school 0.663206 School Health 0.528338 materials 0.422395 Adolescent 0.428182 unhealthy dietary behaviors 0.784153 Risk Behavior Surveillance 0.710796 report 0.422027 HIV infection 0.564561 YRBS Web site 0.648443 physical inactivity 0.578517	CLICK HERE