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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
603	Centers for Disease Control and Prevention	Html	en	Pedestrian Safety | CDC Features	Take steps to be safe when walking on roadways. This includes exercising caution at intersections and crosswalks and increasing your visibility at night by wearing retro-reflective clothing and carrying flashlights.	Highway Traffic Safety 0.716543 young adult 0.564711 traffic-related pedestrian injuries.1 0.844768 Disease Control 0.544875 traffic crash 0.603859 road 0.455796 retro-reflective clothing 0.76462 National Center 0.546417 Safe Routes 0.546115 small size 0.560519 visibility 0.466822 night 0.458437 emergency department 0.567572 Traffic Safety Facts 0.726755 traffic rules 0.593898 pedestrian deaths 0.697708 pedestrian death 0.688323 Mar 0.454074 Injury Prevention 0.546993 crash-related injuries 0.577189 NHTSA 0.485814 age group 0.561427 children ages 0.568892 children—a critical step 0.676687 motor vehicle crash 0.701048	Male pedestrians 0.737134 children’s safety 0.582928 electronic devices 0.554453 general pedestrian safety 0.801964 blood alcohol concentration 0.687441 power walk 0.600114 SRTS program 0.548116 traffic deaths 0.733728 vulnerable users 0.573778 Web-based Injury Statistics 0.670468 Traffic Safety Administration 0.931262 foot 0.454713 higher risk 0.559787 traffic crashes 0.845513 face traffic 0.581113 pedestrians 0.850857 important safety tips 0.749844 emergency departments 0.713143 people 0.457757 following resources 0.546482 Guide website 0.550661 similar means—are 0.572325 pedestrian safety 0.863188 nonfatal injuries 0.594857	CLICK HERE
682	Centers for Disease Control and Prevention	Html	en	Health-Care Provider Screening for Tobacco Smoking andAdvice to Quit - 17 Countries, 2008-2011	Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.	urban smokers 0.468304 important role health-care 0.528356 health-care systems 0.520136 standard global protocols 0.458592 older smokers 0.468019 effective community interventions 0.461202 current smokers 0.471672 tobacco cessation quitlines 0.536554 tobacco 0.801026 health-care provider screening 0.586505 tobacco users 0.553945 tobacco quitlines 0.501444 health professionals 0.513277 World Health Organization 0.471479 cessation counseling 0.502563 MPOWER package 0.490231 countries 0.501488 complex sample designs 0.459154 data collection method 0.462379 health-care visit 0.529555 tobacco products 0.525235 Survey sample sizes 0.458957 mass media campaigns 0.515853 smoking cessation 0.457257	tobacco dependence treatment 0.513938 effective cessation treatment 0.525271 key focus areas 0.455447 rural smokers 0.468389 cessation advice 0.453445 Overall response rates 0.457509 age group 0.488577 smoking tobacco 0.507251 health-care providers 0.712129 smokers 0.611926 Health Professionals Survey 0.458601 in-person household survey 0.461262 tobacco smoking 0.533759 tobacco smokers 0.584128 smoke-free policies 0.464475 tobacco dependence 0.530073 Adult Tobacco Survey 0.542075 tobacco use prevention 0.49186 response rates 0.464041 tobacco abstinence 0.510209 tobacco control policies 0.515812 health-care provider 0.954337 younger smokers 0.468328 confidence intervals 0.457505	CLICK HERE
5937	Centers for Disease Control and Prevention	Html	en	2-Acetylaminofluorene - NIOSH Pocket Guide to Chemical Hazards	null	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
7314	Centers for Disease Control and Prevention	Html	en	Evolution of Varicella Surveillance - Selected States, 2000-2010	Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.	passive case-based surveillance 0.408496 varicella case-based surveillance 0.436445 CDC 0.42396 Varicella surveillance practices 0.46292 varicella reporting 0.421085 active surveillance sites 0.310197 1-dose varicella vaccination 0.420486 passive varicella surveillance 0.469548 actual varicella incidence 0.42166 varicella active surveillance 0.432774 state surveillance data 0.289783 VASP sites 0.296702 varicella surveillance data 0.664399 routine childhood vaccination 0.29741 state varicella surveillance 0.532524 2-dose varicella vaccination 0.455946 overall varicella incidence 0.434801 varicella vaccine 0.774286 2-dose varicella vaccine 0.408294 Varicella deaths 0.369163 varicella incidence 0.721456 national surveillance data 0.300424 varicella trends 0.37185 varicella epidemiology 0.372592 National varicella surveillance 0.438539	continuous varicella 0.365831 vaccination coverage increases 0.293566 single dose 0.31519 passive surveillance 0.309523 varicella vaccination 0.57194 consistent reporting 0.544771 United States 0.340939 passive surveillance data 0.300652 varicella vaccination status 0.42655 varicella data 0.453851 states 0.629055 National Notifiable Diseases 0.394388 national passive varicella 0.442933 varicella vaccination program 0.506793 varicella vaccination coverage 0.56201 disease severity 0.286518 consistent reporting criteria 0.303631 varicella cases 0.544158 Notifiable Diseases Surveillance 0.416465 case-based varicella surveillance 0.425377 varicella 0.930675 CDC varicella experts 0.413305 varicella disease epidemiology 0.391932 childhood vaccination schedule 0.297076	CLICK HERE
7639	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Smoking in Movies: A New Centers for Disease Control and Prevention Core Surveillance Indicator - CDC	Youth who are heavily exposed to onscreen smoking are approximately 2 to 3 times as likely to begin smoking as youth who are lightly exposed, and the Surgeon General concluded that there is a causal relationship between depictions of smoking in the movies and smoking initiation among young people.	smoking depictions 0.588358 previous CDC publications 0.493115 motion picture companies 0.516049 Human Services 0.943979 real tobacco brands 0.627976 pro-tobacco imagery 0.533111 movies 0.703691 Disease Control 0.891452 motion picture 0.59751 tobacco-use incidents 0.605936 Motion Picture Association 0.511023 tobacco 0.97836 tobacco users 0.534241 youth-rated movie 0.596332 individual company policies 0.510563 World Health Organization 0.526399 individual company approach 0.504547 youth-oriented movies 0.684623 public health groups 0.525785 healthy people 0.567919 tobacco imagery 0.83272 youth exposure 0.615497 onscreen smoking 0.576873 Chronic Disease 0.497231 United States 0.497148	movie smoking 0.523304 young people 0.609544 cigarette smoking 0.538718 actual historical figures 0.489595 smoking 0.959608 individual company 0.521479 National Cancer Institute 0.616066 Tobacco control monograph 0.621212 causal relationship 0.520842 regular CDC reports 0.492525 movie companies 0.520201 smoking initiation 0.647631 health 0.592444 tobacco control policies 0.655494 youth smoking 0.527919 Chronic Disease Prevention 0.49097 Surgeon General 0.827852 smokeless tobacco 0.536392 tobacco epidemic 0.516456 Glantz SA 0.502575 onscreen tobacco imagery 0.696635 Public Health Service 0.499211 per-capita cigarette consumption 0.494322 tobacco control 0.691769	CLICK HERE
9489	Centers for Disease Control and Prevention	Html	en	Questions and Answers | Listeria	What are some common questions and answers about listeria?	hospital care 0.276773 newborn death 0.342838 FOOD Tool 0.285789 fetal loss 0.275136 stiff neck 0.282306 Listeria bacteria 0.408944 invasive listeriosis 0.634797 pregnant women 0.760503 germ Listeria monocytogenes 0.536218 Listeria outbreaks 0.412764 immune systems 0.380952 newborn baby 0.297784 possibly contaminated food 0.395109 commonly adults 0.28217 local governments 0.276449 Listeria infections 0.544804 foodborne disease outbreaks 0.359134 Listeria monocytogenes 0.611186 symptoms 0.318559 severe infections 0.293028 medical provider 0.277194 listeriosis 0.919514 contaminated food 0.418062 severe disease 0.287208 Listeria infection 0.681458	United States 0.277851 pregnancy results 0.276694 outbreak investigations 0.277047 food safety efforts 0.341349 laboratory test 0.282885 foodborne germs 0.287329 Listeria 0.722958 bacterial culture 0.281466 muscle aches 0.478657 possible listeriosis 0.459609 mild illness 0.288613 higher risk 0.278568 flu-like symptoms 0.291666 listeriosis outbreaks 0.466018 body tissue 0.277697 Tracking Listeria infections 0.464515 recent scientific advances 0.337201 people 0.567673 medical care 0.276306 food 0.429652 Heat deli meats 0.339643 Food Safety Modernization 0.344752 premature delivery 0.28384 life-threatening infection 0.307279	CLICK HERE
9618	Centers for Disease Control and Prevention	Html	en	Asthma - BRFSS 2008 - Table L5 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by Race/Ethnicity and State or Territory	BRFSS 2008 - Table L5 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by Race/Ethnicity and State or Territory	DC Multirace NH 0.236658 AZ White NH 0.238867 ID White NH 0.233814 AK White NH 0.239916 FL Black NH 0.236358 IA White NH 0.232927 IL Black NH 0.233156 Hispanic 0.278095 ID Black NH 0.233714 AR Multirace NH 0.238378 CA Multirace NH 0.238681 AK Black NH 0.239814 CT Black NH 0.236656 AR White NH 0.238684 GA Multirace NH 0.234428 AL Black NH 0.240837 NH 0.950326 AZ Multirace NH 0.238562 HI Multirace NH 0.234567 AL White NH 0.24094 NH Multirace NH 0.324274 DC Black NH 0.236862 ID Multirace NH 0.233556 Black NH 0.755684 IL Multirace NH 0.232957	Multirace NH 0.754224 CT White NH 0.236757 IL White NH 0.233256 AR Black NH 0.238582 Total** Multirace NH 0.241146 Total** Black NH 0.24136 GA White NH 0.234729 GA Black NH 0.234628 DC White NH 0.236963 IA Black NH 0.232826 NH White NH 0.324723 CA White NH 0.238988 AK Multirace NH 0.239652 AZ Black NH 0.238765 HI White NH 0.234826 Total** White NH 0.241467 AL Multirace NH 0.240631 CT Multirace NH 0.236454 HI Black NH 0.234726 FL Multirace NH 0.236155 CA Black NH 0.238886 FL White NH 0.236459 NH Black NH 0.324549 White NH 0.756695	CLICK HERE
11865	Centers for Disease Control and Prevention	Html	es	Directrices más estrictas para los trabajadores del sector de la salud de los EE. UU. acerca del equipo de protección personal en casos de enfermedad del Ébola	Página de los Centros para el Control y la Prevención de Enfermedades.	Archivo Apple Quicktime 0.596206 falsa sensación 0.577662 posibles pacientes 0.580327 delantal impermeable 0.576265 Archivo Microsoft PowerPoint 0.60996 Archivo Adobe PDF 0.594278 Instrucciones paso 0.572135 Archivo Microsoft 0.962511 Archivo Microsoft Word 0.60769	respiradores n95 0.601655 Centro Clínico 0.891319 Archivo Zip Comprimido 0.593492 Archivo Microsoft Excel 0.592146 reciente experiencia 0.573757 Ã?frica Occidental 0.527303 invasiva atención 0.619035 Institutos Nacionales 0.927325	CLICK HERE
12427	Centers for Disease Control and Prevention	Html	en	Measles | Signs and Symptoms | CDC	null	feet 0.245572 Español 0.278036 hairline 0.272903 navigation Skip 0.60009 patient 0.244689 person’s fever 0.439094 fever subsides 0.43571 legs 0.254024 Signos y síntomas 0.465014 early sign 0.435785 flat red spots 0.973251 Koplik spots 0.761199 rest 0.24589	list Skip 0.599568 tiny white spots 0.768351 page options Skip 0.815659 Small raised bumps 0.627106 neck 0.248295 Fahrenheit 0.257653 symptoms 0.35035 rash 0.423641 face 0.24318 mouth 0.325895 arms 0.246107 measles infection 0.511194	CLICK HERE
13730	Centers for Disease Control and Prevention	Html	en	Vaccine Information for Providers of Preteens-Teens-Adolescents	Administering vaccines to preteens, teens, and adolescents plus other education and resources for providers	CDC 0.510821 Teen Patients 0.841097	Preteen 0.653702	CLICK HERE