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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4690	Centers for Disease Control and Prevention	Html	en	Commute times, food retail gaps, and body mass index in North Carolina counties	null	North Carolina 0.448328 commute time 0.390185 rural residents 0.380633 North Carolina Department 0.21281 special food services 0.206743 county-level independent variables 0.201504 county-level food sales 0.226185 individual-level bmi 0.282425 county-level variables 0.21118 mean county-level commute 0.262666 county-level BMI 0.272693 county-level mean BMI 0.318146 longer commute times 0.221117 BMI 0.325295 average commute time 0.208621	drinking places 0.245558 commute times 0.635556 NAICS code 0.211841 specialty food stores 0.222786 county-level sales 0.221783 food retail gap 0.925332 county-level retail sales 0.206841 county-level commute time 0.290969 North Carolina counties 0.274497 county-level commute times 0.355083 food retail gaps 0.320831 county-level diversity index 0.20896 county-level demand 0.231366 capita 0.273709	CLICK HERE
4997	Centers for Disease Control and Prevention	Html	en	Heart Disease Home Page	null	CDC VITAL SIGNS 0.651046 coronary artery disease 0.647238 common type 0.461966 pharmacist 0.377175 key scientific papers 0.586648 Heart Disease Quiz 0.679848 health outcomes 0.463482 health disparities 0.463387 sodium reduction 0.709738 organ function 0.450382 New research 0.447712 6-question quiz 0.447915 blood pressure 0.552757 risk factors 0.451918 Key Scientific Abstracts 0.589311 Healthy Heart Podcast 0.626317 Added Sugar Intake 0.607638 CAD 0.3477 Internal Medicine 0.447368 health care costs 0.583879 blood cholesterol 0.491187 scientific studies 0.455335 CDC’s Division 0.466576 new data 0.477416	public health strategies 0.59782 heart health 0.52403 heart disease death 0.669 heart attack 0.525719 Science Behind Sodium 0.50787 United States 0.462157 vaccines 0.373252 dietary sodium 0.504425 adults 0.359094 heart-healthy living 0.460159 cardiac arrest 0.787346 STROKE DEATHS Access 0.659088 wide sodium reduction 0.64476 lifestyle changes 0.453679 heart disease 0.968877 American Heart 0.505078 key papers 0.453559 main types 0.467425 Stroke Prevention 0.46831 CDC scientists 0.47222 U.S. The risk 0.451835 Dr. Derrick Gervin 0.584734 cardiovascular diseases 0.837291 Cardiovascular Diseases Mortality 0.825583	CLICK HERE
9291	Centers for Disease Control and Prevention	Html	es	CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0039	CDC - Wide Page example description goes here	comunidades mi’kmaq 0.938716 jóvenes aborigen 0.770394 fuerte deseo 0.725744 juventud aborigen 0.807049	Cabo Bretón 0.753855 frío extremo 0.737748 comunidad mi’kmaq 0.711291 Estados Unidos 0.7124	CLICK HERE
9360	Centers for Disease Control and Prevention	Html	es	Eficacia del programa de control y prevención de enfermedades crónicas "Pasos Adelante" en una comunidad en la frontera de EE. UU. y México, 2005-2008	CDC - Wide Page example description goes here	Hispanic border population 0.304356 Pasos Adelante 0.975085 Prev Med 0.313389 Human Kinetic Books 0.30386 US Census Bureau 0.30393 seguro médico 0.313236 programa pasos 0.309762 Mexican Americans 0.306861 Level Beam Scale 0.304241 Vital Statistics Reports 0.303871 altas hospitalarias 0.307345 diabetes with 0.307888 obesity among us 0.304276 United States-Mexico border 0.304297 Estados Unidos 0.305719 Health Care Poor 0.305117 lifestyle interventions 0.307718 Obes Relat Metab 0.303945 community health 0.307686 US-Mexico border community 0.305877 Flegal KM 0.307515 among subjects with 0.304446 chronic disease prevention 0.316108 características demográficas 0.307904 United States 0.306574	successful community coalition-university 0.304377 Douglas community health 0.306307 alto riesgo 0.307144 Curtin LR 0.306973 diabetes mellitus 0.307457 disease risk 0.306889 Community Health Partnersh 0.305533 Ogden CL 0.306699 salud community outreach 0.305147 Salud Pública 0.313917 diabetes tipo 0.308596 Cardinal Scale Manufacturing 0.304075 health care 0.307334 antecedentes familiares 0.306077 Diabetes Care 0.308115 Carroll MD 0.3061 Stewart R 0.306657 control among mexican 0.30473 An ecological perspective 0.304254 physical activity 0.306998 Zapien J 0.30577 Rev Panam Salud 0.304821 Womens Health 0.303867 Diabetes Prevention Program 0.309503	CLICK HERE
10411	Centers for Disease Control and Prevention	Html	en	Roadmap for State Program Planning - Evaluate the Program'State Resources'DHDSP'CDC	null	Chronic Disease Practice 0.629389 public health issues 0.615798 state capacity 0.542937 American Evaluation Association 0.680124 evaluation 0.937236 evaluation plan 0.854878 professional association 0.58986 National HDSP Program 0.664601 appropriate data collection 0.645159 surveillance data 0.528051 Basic Implementation Programs 0.597896 evaluation design 0.590154 CDC Evaluation Framework 0.697046 future activities 0.557368 evaluation planning— 0.58499 data integrity 0.542848 work plan objectives 0.613952 Chronic Disease Directors 0.629619 evaluate program 0.679532 capacity building activities 0.823785 chronic disease 0.810068 evaluation expectations 0.575182 HDSP program evaluation 0.783994 HDSP Evaluation Plan 0.789963 evaluation areas 0.569767	Gather credible evidence 0.604783 annual Work Plan 0.613876 Basic Implementation 0.61695 qualitative data 0.544146 program area 0.560639 state level data 0.629943 evaluation guides 0.568121 systematic collection 0.530056 Systematically document HDS 0.607113 state HDSP program 0.864162 Evaluate progress 0.540661 evaluation results 0.580846 state partnership 0.608713 Evaluate program achievements 0.671017 outcome evaluation 0.579777 Prevention Research Centers 0.608819 evaluation should— 0.574056 state HDSP programs 0.646492 program logic model 0.631707 health department program 0.647179 sample evaluation questions 0.656359 interventions 0.530566 Document changes 0.610653 Report program results 0.678646	CLICK HERE
13370	Centers for Disease Control and Prevention	Html	en	Information for Health Care Workers | Rat-bite Fever (RBF) |CDC	null	Spirillum minus 0.592867 diagnosis assistance 0.349598 gram-negative microaerophilic bacillus 0.590191 pleomorphic gram-negative bacilli 0.529052 North America 0.383047 rodent exposure 0.380331 rat-bite fever 0.524699 Recent case reports 0.472357 severe nausea/vomiting 0.36162 RBF 0.992699 characteristic spirochetes 0.364356 Streptobacillus moniliformis 0.566834 body fluids 0.348574 infected rodent 0.408287 incidence rates 0.357316 preliminary diagnosis 0.352634 state public health 0.46335 maculopapular rash 0.402834 distinct rash 0.394079 Person-to-person transmission 0.374664 nationally notifiable disease 0.47721 normal respiratory flora 0.519663 United States 0.345649 natural reservoir 0.364429 appropriate specimens 0.464556	Haverhill fever 0.754032 rodent species 0.397142 S. moniliformis 0.937049 Accurate data 0.346047 incubation period 0.378627 differential stains 0.34583 motile spirochete 0.413623 S. minus 0.420297 incubation conditions 0.362119 fever onset 0.478596 red plaques 0.353843 potential risk 0.34816 untreated RBF 0.69899 common symptoms 0.361821 mortality rate 0.348635 Following partial healing 0.476928 positive culture 0.34776 disease incidence 0.356641 rat bite 0.361391 synovial fluid 0.351658 Initial symptoms 0.366155 infected animal 0.365841 specific media 0.349932 darkfield microscopy 0.343958	CLICK HERE
13392	Centers for Disease Control and Prevention	Html	null	Vaccines: VPD-VAC/Pneumo/In-Short	Pneumococcal In Short: Description, Symptoms, Complications, Transmission, Vaccine, etc.			CLICK HERE
13397	Centers for Disease Control and Prevention	Html	en	State Tobacco Control Program Spending - United States,2011	Please note: An erratum has been published for this article. To view the erratum, please click here.	smokeless tobacco advertising 0.511088 tobacco tax revenues 0.516013 tobacco-related health care 0.456133 community interventions 0.500333 program component 0.485308 state general funds 0.462764 expenditure data 0.473968 cessation interventions 0.500621 tobacco control programs 0.918232 funding levels 0.472214 additional state experiences 0.463451 cigarette excise taxes 0.477402 direct expenditures 0.455119 comprehensive tobacco control 0.758569 tobacco prevention 0.699422 substantial state government 0.456275 tobacco products 0.51702 state cigarette excise 0.463366 health communication 0.484788 Best Practices 0.550417 statewide tobacco control 0.550084 tobacco control landscape 0.538647 relevant state organizations 0.463778 tobacco control funding 0.557397 United States 0.531525	State Public Health 0.461479 state investments 0.45453 states 0.585742 health communication interventions 0.474794 overall expenditures 0.459412 tobacco-related disease 0.456216 tobacco taxes 0.486151 50 states 0.543577 state tobacco control 0.705126 Best Practices levels 0.454225 tobacco industry master 0.516941 tobacco control expenditures 0.598404 tobacco control program 0.583771 evidence-based state tobacco 0.546182 tobacco control policies 0.524162 control funding data 0.462291 tobacco companies 0.490508 smokeless tobacco 0.535285 control activities 0.495836 funding tobacco prevention 0.529955 recommended state funding 0.477373 capita expenditures 0.466086 evidence-based interventions 0.462709 tobacco control 0.968064	CLICK HERE
16169	Centers for Disease Control and Prevention	Html	en	HPV Vaccine Information For Young Women	HPV - STD information from CDC. Fact Sheets, Statistics, Treatment Guidelines, Resources for Clinicians and Educators.	HPV types— 0.203411 HPV vaccination 0.344921 HPV test 0.237064 HPV vaccine 0.80765 HPV types 0.486735 cervical cancer 0.691177 targeted HPV types 0.242999	HPV 0.931484 genital warts 0.28749 Genital HPV 0.246161 HPV infection 0.23045 HPV vaccines 0.211736 HPV infections 0.202104	CLICK HERE
16460	Centers for Disease Control and Prevention	Html	en	Characteristics of Electronic Cigarette Use Among Middle andHigh School Students - United States, 2015 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	e-cigarette advertising 0.386574 complex survey design 0.383411 conventional cigarettes 0.381949 multiple device types 0.379791 e-cigarette brands 0.406684 comprehensive tobacco control 0.455588 product types 0.46234 nicotine exposure 0.426682 U.S. Surgeon General 0.386633 commonly used e-cigarette 0.45294 response rate 0.3836 tobacco product dependence 0.394422 tobacco products 0.456261 public health practice 0.392917 commonly reported brand 0.497195 prevention strategies 0.378352 e-cigarette product types 0.425031 Connecticut high school 0.391616 U.S. middle 0.520845 United States 0.438236 Drug Administration 0.389259 youths 0.611918 products 0.458892 Hispanic students 0.398656	nicotine delivery 0.396715 nationally representative sample 0.38035 U.S. students 0.378488 tobacco product 0.633647 brands 0.43107 middle school students 0.427365 substances 0.384343 rechargeable/refillable e-cigarettes 0.53826 e-cigarette users 0.440235 commonly reported brands 0.421561 certain e-cigarette marketers 0.400269 high school students 0.982371 e-cigarettes 0.820511 National Youth Tobacco 0.402011 U.S. youths 0.533109 Nicotine content 0.391399 relative standard error 0.380805 commonly used tobacco 0.573958 high school students.* 0.401242 Table). 0.39851 NYTS response rate 0.380165 disposable e-cigarettes 0.44469 heavily advertised e-cigarette 0.402367 non-Hispanic black students 0.48868	CLICK HERE