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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
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
4799	Centers for Disease Control and Prevention	Html	en	GBS in Adults - Transmission, Prevention, Diagnosis, Treatment, Trends - Group B Strep	Group B Strep - in Adults	soft tissue 0.403925 Español 0.330128 skin infections 0.513044 bladder infections 0.504505 non-pregnant adults 0.533513 Page 0.363436 stomach 0.324347 strep bacteria 0.953318 UTIs 0.329024 blood infections 0.514505 spinal fluid 0.406319 infections 0.767729 bump 0.324461 common diseases 0.41599 strep disease 0.74242 adultos 0.323625 non-pregnant adults increases 0.490524 group 0.763212 infected area 0.538573 joint infections 0.513819 age groups 0.425657 common antibiotics 0.407846 medical conditions 0.486272 Group B strep 0.68697	sterile body fluids 0.505993 del grupo 0.431109 sepsis 0.358606 women 0.347093 penicillin 0.324586 gastrointestinal tract 0.423572 younger adults 0.40908 age group 0.445563 100,000 0.336326 invasive disease 0.412308 invasive group 0.503633 specific treatment options 0.492808 Infección por estreptococo 0.545794 pneumonia 0.35275 rate 0.334154 spinal cord 0.411399 cases 0.336139 bone infections 0.497802 soft-tissue infections 0.523112 newborns 0.325694 sample 0.341979 additional treatment 0.405503 urinary tract infections 0.597146 risk 0.335438	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
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
7714	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Multisite Qualitative Study of Primary Care Physicians™ and Midlevel Providers™ Self-Reported Practices and Perceptions About Maintaining Cognitive Health - CDC	Communicating new evidence on cognitive health and engaging older adults in making lasting lifestyle changes recommended by PCPs and others may be practical ways in which public health practitioners can partner with PCPs to address cognitive health in health care settings.	North Carolina 0.581367 health maintenance visit 0.498802 public health practitioners 0.52837 recommendations 0.485164 primary care providers 0.497521 focus group session 0.462852 Laditka JN 0.468547 national public health 0.514306 advanced practice providers 0.492221 health behaviors 0.465291 Health Education Center 0.481152 patients 0.511457 cognitive functioning 0.490677 patient care 0.468987 case study 0.474811 public health practice 0.516555 physical health 0.510377 lasting lifestyle changes 0.472177 health care settings 0.546078 brief cognitive assessments 0.509673 brain health 0.492816 moderate cognitive impairment 0.537696 physical health risks 0.479504 Environmental Health Sciences 0.468688 cognitive decline 0.620426	Healthy Brain Initiative 0.505885 Aging Research Network 0.510652 focus groups 0.585945 Healthy Aging Research 0.50675 public health 0.598675 public health perspective 0.474132 primary care patients 0.464181 A&M Health Science 0.508252 public health road 0.47311 Texas A&M Health 0.509625 road map 0.461944 physical activity 0.503539 healthy brain study 0.47901 disease management 0.460807 cognitive health 0.994903 Health Science Center 0.508146 Public Health Texas 0.47702 PCPs 0.490531 APP focus group 0.461741 Public Health Service 0.47495 older adults 0.664991 et al 0.463125 primary care 0.503368 cognitive impairment 0.748738	CLICK HERE
9627	Centers for Disease Control and Prevention	Html	en	Asthma - BRFSS 2008 - Table C2.1 Current Asthma Prevalence Rate (Percent) by Sex and State or Territory	BRFSS 2008 - Table C2.1 Current Asthma Prevalence Rate (Percent) by Sex and State or Territory	|| 0.469343 HI 0.206484 FL 0.210317 **U.S. Total 0.447002 MD 0.205299 small sample size 0.658811 GA 0.204484 sample size 0.730885 CA 0.218563 binomial distribution 0.444879 50 states 0.425716 U.S. Total** 0.548649 IL 0.200738	*CI denotes confidence 0.683219 MS 0.203502 normal approximation 0.439102 KS 0.203633 AK 0.217655 standard error 0.442069 KY 0.200503 CT 0.206437 14.1 0.20427 territories 0.295093 LA 0.206203 AZ 0.214538 confidence interval 0.734112	CLICK HERE
11032	Centers for Disease Control and Prevention	Html	en	CDC Telebriefing: New Vital Signs Report - What can be done to make opioid painkiller prescribing safer? | Media Advisory | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	media availability 0.514345 Non-Media 0.342744 United States 0.575641 CDC web site 0.898702 M.D. 0.257246 briefing 0.279972 opioid painkillers 0.949689 Noon ET 0.618342 transcript 0.341816 CDC MEDIA 0.652404 PASSCODE 0.332118 Tuesday 0.364668 M.P.H 0.317458	health care providers 0.901973 Important Instructions 0.542384 dial 0.277321 question 0.410522 CDC Director Tom 0.979086 start 0.258302 touchtone phone 0.57819 major cause 0.592147 drug overdose epidemic 0.996304 prescription 0.28618 Frieden 0.325654 Content 0.257946 press conference 0.518978	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
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