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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
729	Centers for Disease Control and Prevention	Html	en	Clinical and Behavioral Characteristics of Adults Receiving Medical Care for HIV Infection - Medical Monitoring Project, United States, 2007	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.	National HIV/AIDS Strategy 0.343637 Alternate Text 0.349112 T-lymphocyte test 0.361958 Human Services 0.342886 abuse treatment services 0.371993 MMWR HTML versions 0.342258 private health insurance 0.381709 electronic PDF version 0.344645 HIV status 0.356872 male sex partner 0.463344 antiretroviral medications 0.380871 CD4 count 0.35317 MMP participants 0.415292 HIV Cost 0.380336 Prevention planning groups 0.348372 behavioral characteristics 0.355788 human immunodeficiency virus 0.362878 HIV prevention activities 0.418365 recent viral load 0.411498 female sex partner 0.367757 viral load test 0.522747 low participation rate 0.342696 Medical Monitoring Project 0.398812 recent self-reported HIV 0.422086	frequently used drugs 0.352315 original MMWR paper 0.348528 U.S. Government Printing 0.34567 mental health counseling 0.377927 recent sex partner 0.37079 HIV-infected adults 0.400468 CD4+ T-lymphocyte count 0.362325 viral load testing 0.413202 bar chart 0.355768 record abstraction data 0.357372 local health departments 0.359389 participants 0.504692 health maintenance organization 0.381756 unmet support service 0.354514 Public health recommendations 0.362805 medical care 0.642271 Services Utilization Study 0.400247 supplemental surveillance project 0.356251 HIV viral load 0.912378 critical support services 0.374436 HIV case management 0.435286 HIV infection 0.407885 medical record abstraction 0.467489 viral load tests 0.406248	CLICK HERE
1036	Centers for Disease Control and Prevention	Html	en	National Capacity for Surveillance, Prevention, and Controlof West Nile Virus and Other Arbovirus Infections - United States,2004 and 2012	James L. Hadler, MD1, Dhara Patel, MPH2, Kristy Bradley, DVM3, James M. Hughes, MD4, Carina Blackmore, DVM5, Paul Etkind, DrPH6, Lilly Kan, MPH6, Jane Getchell, DrPH7, James Blumenstock, MA8, Jeffrey Engel, MD2 (Author affiliations at end of text).	environmental surveillance 0.632701 Los Angeles County 0.517851 mosquito-borne virus surveillance 0.590502 current CDC guidance 0.51559 cooperative agreement funding 0.511231 arbovirus surveillance functions 0.575188 assessment 0.534415 arbovirus surveillance 0.637264 current arboviral threats 0.58941 arboviruses 0.653869 virus surveillance capacity 0.600096 standard case report 0.512811 mosquito surveillance systems 0.665005 jurisdictions 0.566772 arboviral disease case 0.594479 laboratory capacity 0.663129 recent CSTE assessment 0.52797 WNV surveillance 0.825623 mosquito-borne arboviral disease 0.602802 Mosquito surveillance capacity 0.78616 adult mosquitoes 0.566212 national surveillance platform 0.57469 laboratory surveillance capacity 0.685941 public health laboratories 0.549957 national arboviral surveillance 0.796318	United States 0.600691 avian mortality surveillance 0.700449 mosquito/environmental surveillance 0.524203 local health department 0.532756 arboviral activity 0.639942 adult mosquito surveillance 0.66282 additional mosquito surveillance 0.649866 city/county health departments 0.647254 health departments 0.739603 surveillance 0.967029 local health departments 0.61328 WNV 0.861473 local arboviral surveillance 0.668523 mosquito surveillance 0.842938 New York 0.583105 arboviral surveillance infrastructure 0.792997 arboviral disease 0.627725 dead bird surveillance 0.669687 active human surveillance 0.630529 mosquito pools 0.525001 West Nile virus 0.77847 arboviral surveillance capacity 0.68102 ELC funding 0.727907 current surveillance systems 0.79938	CLICK HERE
4746	Centers for Disease Control and Prevention	Html	en	Tobacco Use - Secondhand Smoke - CDC Vital Signs	CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics.	Mortality Weekly Report 0.3552 health insurance 0.284169 nonsmoking adults 0.297698 Tobacco Use Epidemic 0.415288 lung cancer 0.294637 number 0.236347 Smoke-free indoor air 0.369774 pregnant women 0.28818 children 0.347682 severe asthma 0.292336 homes 0.233508 tobacco 0.588208 cancer-causing chemicals 0.303073 health conditions 0.291057 state 0.229615 secondhand smoke 0.955726 private worksites 0.295897 comprehensive tobacco control 0.424788 World Health Organization 0.349256 preventable cause 0.302583 respiratory infections 0.295398 new CDC reports 0.383981 tobacco products 0.482488 nonsmokers 0.5139 parents 0.232853	toxic chemicals 0.295615 photo ID 0.282444 vehicles 0.247771 youth access 0.282965 Mexican-American nonsmokers 0.378908 especially children 0.290254 pediatric patients 0.278984 heart disease 0.460796 infant death syndrome 0.370907 tobacco marketing 0.365383 new FDA restrictions 0.350997 secondhand smoke exposure 0.642278 middle ear infections 0.370329 respiratory conditions 0.36559 company property 0.286539 people 0.237891 tobacco product indoors 0.443551 black nonsmokers 0.377625 home 0.250291 white nonsmokers 0.37726 CDC-recommended levels 0.279938 health risks 0.283074 time 0.231554 MPOWER strategies 0.286329	CLICK HERE
4972	Centers for Disease Control and Prevention	Html	en	Dietary intake of minerals and the risk of ischemic stroke in Guangdong Province, China, 2007-2008	null	ischemic stroke patients 0.594583 first-ever ischemic stroke 0.573245 previous stroke 0.490242 lifelong physical activity 0.488844 soy sauce 0.494993 weekly dietary calcium 0.516139 ischemic stroke cases 0.546361 Ischemic stroke status 0.5438 case patients 0.620204 hospital-based control patients 0.506698 logistic regression 0.499336 blood pressure 0.560806 lowest intake level 0.501946 iron intake 0.517643 dietary mineral intake 0.524479 body mass index 0.514924 primary author 0.481958 cumulative smoking 0.482622 dietary sodium intake 0.548876 southern Chinese population 0.547947 Dietary magnesium intake 0.528171 self-rated sodium intake 0.526617 red meat intake 0.486773 mineral intake 0.584605	stroke symptoms 0.482863 ischemic stroke risk 0.68806 sodium intake 0.708754 total energy intake 0.557498 higher weekly dietary 0.49906 H. Sodium intake 0.516245 mineral intake patterns 0.502096 dietary intake 0.567694 potassium intake 0.491079 Chinese adults 0.520814 incident stroke patients 0.529349 southern Chinese adults 0.515041 weekly intake 0.506132 ischemic stroke 0.937753 control patients 0.760061 energy intake 0.57272 High sodium intake 0.529608 food frequency questionnaire 0.492653 incident ischemic stroke 0.542159 Stroke research priorities 0.495888 physical activity 0.493402 eligible control patients 0.490511 et al 0.556182 Ischemic stroke accounts 0.553278	CLICK HERE
6097	Centers for Disease Control and Prevention	Html	en	Chlorine - 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
6484	Centers for Disease Control and Prevention	Html	en	Smoke-free policies at home, church, and work: smoking levels and recent quit attempts among a southeastern rural population, 2007	The objective of this study was to examine the cumulative effect of smoke-free policies and social support for smoking cessation in the home, at church, and at work on smoking levels and quit attempts in the context of a community-based study of rural African Americans and whites in the Southeast.	public smoke-free policies 0.313807 Household restrictions 0.28395 Emory Prevention Research 0.296961 cumulative effect 0.395403 social support scores 0.281797 smoking restrictions 0.664909 weighted dose 0.35324 social support 0.92116 smoking levels 0.336654 settings 0.326745 smoking areas 0.343665 partial restrictions 0.320778 smoke-free public policies 0.313211 individual smoking level 0.33302 smoking behavior 0.407556 weighted score 0.3103 rural African Americans 0.301309 fewer smoking restrictions 0.407489 smoking cessation 0.34569 Smoke-Free Air Act 0.294672 cigarettes 0.29304 smoking policy 0.31518 successful quit attempts 0.282475 smoke-free home policies 0.323915 study 0.336521	church 0.386254 African Americans 0.316371 smoking level contradicts 0.330868 smoke-free restrictions 0.342838 Prevention Research Center 0.331168 social support score 0.285292 smoking 0.713556 smoke-free policies 0.764441 Georgia Cancer Coalition 0.291599 smoking level 0.448876 participants 0.312458 workplace smoking restrictions 0.405892 Home restrictions 0.291438 Southwest Georgia Cancer 0.292894 baseline survey 0.309536 Cigarette smoking 0.330913 complete restrictions 0.557614 environmental tobacco smoke 0.420702 home smoking restrictions 0.426165 smoking statewide 0.3186 community-wide smoke-free policies 0.320798 Possible responses 0.299254 higher quit rates 0.286539 recent quit attempts 0.41784	CLICK HERE
11159	Centers for Disease Control and Prevention	Html	en	CDC's Transplant-Transmitted Infection Toolkit	CDC – Information to help make organ and tissue transplants the highest quality possible so that recipients have the best outcomes.	standard public health 0.347035 National Organ Transplant 0.449761 UNOS patient safety 0.386903 Transplant-Transmitted Infections form 0.240167 broadly applicable framework 0.228725 public health authorities 0.750351 public health departments 0.40894 transplant community 0.363039 transplant transmission 0.280276 transplant investigations 0.235086 unusual notification process 0.277663 Organ Sharing 0.200338 Disease Transmission Advisory 0.278431 organ procurement organizations 0.521694 transplant centers 0.50117 working agreement 0.290513 diagnostic test results 0.228891 health departments 0.474343	disease transmission 0.365777 public health 0.924053 U.S. transplant centers 0.381755 state health authorities 0.340373 organ recipients 0.26575 donor derived disease 0.259519 potential transplant-transmitted cases 0.240191 highlight important aspects 0.235994 potential transplant-associated transmission 0.314117 local public health 0.459736 Transplant-Transmitted Infections 0.272993 state public health 0.345236 UNOS staff 0.265881 public health agencies 0.28285 unified transplant network 0.384273 potentially impacted recipients 0.273784 relevant health departments 0.274389	CLICK HERE
11999	Centers for Disease Control and Prevention	Html	en	Disease Detective: Neil - CDC Responds to the 2014 Ebola Outbreak	CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives.	practice 0.320291 Liberia’s capital 0.434697 terrible outbreak 0.402411 Ambulance chasing 0.412551 source 0.320165 consistency 0.318193 better track 0.39819 international partners 0.395745 Social Welfare 0.392955 Ebola transmission 0.580505 contact 0.38409 Bomi County 0.527175 Neil 0.546542 lax 0.318834 ongoing Ebola epidemic 0.65641 Global Health 0.411016 wife 0.333891 short time 0.39201 lapse 0.322719 corrections 0.318482 community care center. 0.487531 Ebola patients 0.663449 Ebola 0.90943 limited access 0.390935 biggest risks 0.389525	new chain 0.40307 distance 0.319951 infection control 0.506097 quality emergency care 0.469806 rural area 0.405457 major strides 0.403753 suspected Ebola cases 0.708424 virus 0.335036 Ebola cases 0.74543 CDC disease detective 0.678311 key component 0.40475 major progress 0.387645 local phones 0.389124 local health officials 0.477154 Ebola-free patients 0.403686 safety standards 0.39236 ambulances 0.322532 spread 0.337396 tough situation 0.388796 community care centers 0.922863 community care center 0.484075 horrible car crash 0.466956 West Africa 0.392219 investigation 0.318793	CLICK HERE
14032	Centers for Disease Control and Prevention	Html	en	Vital Signs: Exposure to Electronic Cigarette AdvertisingAmong Middle School and High School Students - United States,2014	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians.	U.S. middle school 0.445302 TV 0.323843 sources 0.414508 advertising exposure 0.297161 current tobacco products 0.298638 electronic cigarettes 0.346041 frequently reported exposure 0.334821 source 0.331414 e-cigarette advertising 0.469337 Retail store exposure 0.323998 e-cigarette advertising expenditures 0.303773 youth access 0.302425 youths 0.41104 movies 0.316058 tobacco control programs 0.426593 middle school 0.765729 Youth Tobacco Survey 0.42086 conventional tobacco products 0.344945 conventional tobacco product 0.308849 tobacco product advertising 0.497825 tobacco 0.539476 magazines 0.314003 middle school students 0.669869 comprehensive state tobacco 0.345711	comprehensive tobacco control 0.294531 tobacco product initiation 0.309713 e-cigarette advertisements 0.596327 state tobacco control 0.346014 youth tobacco prevention 0.302056 e-cigarette advertisement exposure 0.409825 tobacco outlet density 0.294267 high school students 0.991689 newspapers 0.320766 e-cigarettes 0.370392 National Youth Tobacco 0.422357 youth-oriented e-cigarette marketing 0.345676 Weighted exposure estimates 0.341422 U.S. youths 0.336377 tobacco products 0.453132 exposure 0.657359 commonly used tobacco 0.311523 exposure sources 0.310583 fund tobacco control 0.294245 youth exposure 0.320875 e-cigarette advertising exposures 0.295401 Internet 0.331866 high school-aged youths 0.300043	CLICK HERE
15555	Centers for Disease Control and Prevention	Html	en	Testimonials from Participants - National Diabetes Prevention Program	National Diabetes Prevention Program	poor eating habits.I 0.454915 exercise routine 0.397619 Cynthia Johnson 0.403736 Tim Enfinger 0.387849 glucose levels 0.487362 different ideas 0.383812 favorite thing 0.38348 type 0.3953 entire adult life 0.470121 program participants 0.418501 high cholesterol 0.382612 healthy recipes 0.418149 friend 0.332981 Jan Booker 0.39379 group 0.331544 Suzi Gomez 0.410393 blood pressure 0.398193 hard time 0.391487 different diets 0.392153 emotional eating habits 0.449756 grandchildren 0.34658 Program Participant 0.896336 lifestyle change program 0.943566 lifestyle coach 0.520718 food labels 0.38954	sugary drinks 0.395001 lunch-break rides 0.396177 Suchada Jin-Jin Hantragoon 0.452413 Bruce Wheeler 0.400001 Phyllis Perkins 0.385819 great information 0.401841 stationary bike 0.387961 medical research 0.392749 pictures 0.318673 red meat 0.393473 online lifestyle change 0.501778 healthy lifestyle changes 0.512922 hospital 0.330504 high glucose levels 0.452956 daily routine 0.389926 standard couch potato 0.458162 Online Program Participant 0.527922 medical librarian 0.391526 people 0.333157 video series 0.388838 exercise habits 0.386679 healthy changes 0.450686 difficult time 0.3908 family 0.318662	CLICK HERE