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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
4973	Centers for Disease Control and Prevention	Html	en	Qualitative research about attributions, narratives, and support for obesity policy, 2008	null	high rates 0.323504 obesity rates 0.581875 obesity rests 0.426767 external causes 0.647654 obesity policy 0.492139 Wood Johnson Foundation 0.36015 public policy strategies 0.342889 external factors 0.391861 internal causal attributions 0.330515 conservative participants 0.333089 external solutions 0.40903 midsized Midwestern city 0.372519 adult story 0.332395 external policy solutions 0.391419 obesity 0.924555 social support 0.365503 political ideology 0.451292 Adult obesity narrative 0.565633 policy change 0.455575 child obesity narratives 0.482007 public policy 0.34649 vs childhood obesity 0.497943 Successful obesity reduction 0.482826 obesity policies 0.453262	obesity education 0.420159 Robert Wood Johnson 0.35869 David A. Kindig 0.366654 policy changes 0.350041 childhood obesity narratives 0.499791 childhood obesity narrative 0.629247 focus group protocol 0.37773 focus groups 0.384038 obesity narratives 0.566238 intrinsic individual dispositions 0.344737 unhealthy food 0.32431 adult vs childhood 0.376382 participants 0.606877 adult obesity 0.595582 public perceptions 0.346607 internal responsibility 0.338635 groups 0.426468 obesity-related policy change 0.453545 portion size 0.329556 childhood obesity 0.789282 focus group 0.407962 adult participants 0.329197 Stephanie A. Robert 0.363045 conservative groups 0.405779	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
6360	Centers for Disease Control and Prevention	Html	en	Health care-associated infections declined in 2010 - Press Release: October 19, 2011	Health care-associated infections declined in 2010	health care-acquired conditions. 0.521458 CDC 0.664726 CDC guidelines 0.537729 health care costs 0.549043 health care provider 0.555709 additional infections 0.601307 important medical treatment 0.503849 health care delivery 0.577531 CDC Director Thomas 0.619863 Action Plan 0.506446 health care-associated infections 0.705431 infections 0.825558 state health departments 0.547883 CDC prevention strategies 0.631147 certain infections 0.630483 bloodstream infections 0.738433 u.s. department 0.5063 CDC’s Division 0.542365 health care facilities 0.713511 health care settings 0.547558 ambulatory surgery centers 0.513866 health care infection 0.588287 Clostridium difficile infections 0.660593 non-critical care patients 0.54383 state public health 0.530486	infection prevention measures 0.527612 common infections 0.636647 healthcare-associated infections 0.706212 CDC tracks health 0.608497 policy summit 0.511729 National Healthcare Safety 0.599117 central line catheters 0.506323 National Journal 0.516934 health care 0.91271 care-associated invasive methicillin 0.504051 CDC staff 0.568941 percent reduction 0.72706 MRSA bloodstream infections 0.668435 National Journal policy 0.508529 health care infections 0.746002 intensive care units 0.540897 CDC laboratories 0.535703 line-associated bloodstream infections 0.67964 national prevention target 0.527123 diarrheal infections 0.633043 urinary tract infections 0.651363 Human Services 0.507484 Healthcare Safety Network 0.596307 central line 0.50784	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
10867	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Opportunities for Policy Interventions to Reduce Youth Hookah Smoking in the United States - CDC	Preventing youth smoking initiation is a priority for tobacco control programs, because most adult tobacco smokers become addicted during adolescence.	hookah tobacco products 0.59624 adult tobacco smokers 0.387125 tobacco tax revenues 0.355116 shisha tobacco 0.342547 hookah lounge websites 0.492501 smoking hookah 0.56716 smoke-free laws 0.349504 Tobacco Control Act 0.407473 hookah tobacco smoking 0.66869 typical hookah 0.471411 federal tax 0.310179 tobacco control programs 0.388638 smoking cigarettes 0.40798 tobacco tax rates 0.427367 youth smoking initiation 0.396991 reduce youth hookah 0.517238 tobacco users 0.36155 indoor smoking 0.33124 Oregon Health Authority 0.298934 hookah smoke 0.561831 current hookah users 0.528821 pipe tobacco products 0.36206 hookah lounges 0.681704 Oregon state tobacco 0.380862 hookah tobacco 0.742657	roll-your-own tobacco 0.329203 tobacco types 0.357897 young adults 0.289969 potential policy interventions 0.318702 tobacco use control 0.358551 Oregon’s Tobacco 0.336139 Family Smoking Prevention 0.390879 loose cigarette tobacco 0.39651 cigarette flavoring ban 0.29618 smoking tobacco 0.464792 comprehensive smoke-free laws 0.314651 hookah smokers 0.470642 flavored tobacco 0.407384 Cigarette Trafficking Act 0.3225 loose pipe tobacco 0.4022 hookah smoking 0.90188 hookah smoking harmfulness 0.549673 limit hookah misperceptions 0.462238 ban cigarette smoking 0.372127 youth smoking 0.398087 smokeless tobacco 0.397592 curb youth cigarette 0.322014 pipe tobacco 0.528856 youth cigarette smoking 0.637544	CLICK HERE
11324	Centers for Disease Control and Prevention	Html	en	Organizational Attributes	CDC Health Literacy. This site provides information and tools to improve health literacy and public health. These resources are for all organizations that interact and communicate with people about health, including public health departments, healthcare providers and facilities, health plans, government agencies, non-profit/community and advocacy organizations, childcare and schools, the media, and health-related industries.	Literacy Universal Precautions 0.642889 social media communication 0.559134 Health Literate Organizations 0.577633 limited literacy 0.635161 health information 0.665273 health literacy training 0.649733 Universal Precautions Toolkit 0.583142 Health Centers 0.553241 toll-free information lines 0.566505 Federal Plain Language 0.54921 Minority Health 0.5501 direct patient care 0.55377 Unity Point Health 0.570826 health literacy improvement 0.647186 clinical care groups 0.555677 Public health organizations 0.596269 information usefulness 0.562616 Emergency Risk Communication 0.553658 Plain Language Action 0.549168 health literacy 0.975219 plain language 0.63015 Linguistically Appropriate Services 0.549522 high-risk situations 0.55017 usable health information 0.591091	Group Health Research 0.576118 Health Information Technology 0.591559 health care research 0.577614 health literacy skills 0.670017 AHRQ Health Literacy 0.669068 health services 0.571063 Integrates health literacy 0.647919 public health work 0.590735 health departments 0.55641 Healthcare Research 0.607221 health care 0.577811 Uses health literacy 0.640795 information design techniques 0.56754 health literacy issues 0.812327 Addresses health literacy 0.643418 Health Literacy Environment 0.632152 easy access 0.550509 people 0.555823 Health Literacy Universal 0.666255 numeracy skills 0.550473 clear communication techniques 0.595492 promotes effective communication 0.55953 Health Literate Health 0.625421 Health Literacy Assessment 0.632918	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