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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
6526	Centers for Disease Control and Prevention	Html	en	Key Facts about Human Infections with Variant Viruses (Swine Origin Influenza Viruses in Humans)	Key Facts about Human Infections with Variant Viruses (Swine Origin Influenza Viruses in Humans) - CDC	type A influenza 0.386903 swine influenza virus 0.591329 novel viruses 0.275777 variant flu viruses 0.43509 swine industry 0.235236 H3N2 virus 0.216854 Mortality Weekly Report 0.206511 United States 0.206038 variant influenza virus. 0.460632 human influenza viruses 0.616197 swine herds 0.247966 CDC Seasonal Influenza 0.378394 infected swine 0.283659 infected pigs 0.252116 influenza-infected pigs 0.229355 pigs 0.34685 Variant Influenza Viruses 0.5677 variant influenza virus 0.470507 Swine flu viruses 0.537581 variant viruses 0.434956 exhibits housing pigs 0.246732 human-to-human transmission 0.201732 swine origin influenza 0.491657 influenza A virus 0.377467	novel influenza virus 0.457123 influenza vaccines 0.350998 seasonal influenza 0.484044 influenza pandemic 0.355698 influenza virus infections 0.600287 Yes. Swine flu 0.308289 variant viruses. 0.20184 human seasonal influenza 0.401157 people 0.252521 influenza A H1N1 0.345369 seasonal flu transmits 0.21559 pandemic preparedness efforts 0.208144 human infections 0.305787 new virus 0.256025 limited person-to-person spread 0.212188 influenza viruses 0.964527 sick pigs 0.267213 influenza virus 0.720951 variant virus infections 0.355254 infect pigs 0.213257 U.S. Human Infections 0.238789 state level surveillance 0.200564 influenza a h3n2 0.391627	CLICK HERE
9339	Centers for Disease Control and Prevention	Html	es	Reducción de enfermedades cardiovasculares mediante guías de pacientes, Denver, Colorado, 2007-2009	null	Task Force 0.439066 posibles participantes 0.590717 Prev Med 0.608006 Increasing physical activity 0.439606 D’Agostino RB 0.444649 cardiovascular health promotion 0.435488 risk factors 0.555447 colesterol hdl 0.637464 colesterol ldl 0.541493 Kannel WB 0.441261 community health 0.487639 community health workers 0.481655 Denver Public Health 0.443907 Hospital Authority 0.434563 coronary heart 0.623273 salud comunitaria 0.448033 baja densidad 0.488624 Battaglia TA 0.438665 Public Health 0.453172 referenciaa periodo 0.439137 Wilson PW 0.437098 alto riesgo 0.446644 puntuación frs 0.9552 disease risk 0.523207 vasculopatía periférica 0.511662	mm hg 0.44637 physical activity questionnaire 0.437454 Características Periodo 0.464339 Gen Intern Med 0.582757 alta densidad 0.635437 Salud Pública 0.532261 Patient navigation 0.480286 bajos ingresos 0.498242 Intern Med 0.655953 aórtico abdominal 0.447994 Sullivan LM 0.44187 modifiable risk factors 0.43532 cardiopatía coronaria 0.662293 Arch Intern Med 0.440705 Denver Health 0.462548 presente intervención 0.512404 physical activity 0.606014 características clínicas 0.534321 health center 0.481708 absolute cardiovascular risk 0.438053 mejorías significativas 0.459824 Community Preventive Services 0.472714 primary care 0.443791 puntuación frs frente 0.449823	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
9502	Centers for Disease Control and Prevention	Html	en	Fatal Foodborne Clostridium perfringens Illness at a State Psychiatric Hospital — Louisiana, 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.	C. perfringens–specific PCR 0.435687 beta toxin 0.429094 rabbit anti-Clostridium antibody 0.453784 psychiatric inpatient facilities 0.474609 stool specimens 0.541172 necrotizing colitis 0.475031 clostridial necrotizing enteritis 0.450772 Paul C. Melstrom 0.431637 kitchen-prepared suspect meal 0.413743 C. perfringens enterotoxin 0.7248 Clostridium perfringens 0.597205 outbreak 0.46088 food preparation guidelines 0.477201 Postmortem pathology 0.446461 Hospital infection control 0.475378 C. perfringens type 0.686155 patients 0.427999 loose stools 0.433146 C. perfringens 0.969973 impaired intestinal motility 0.557694 emergency department 0.547713 fatal necrotizing colitis 0.473445 foodborne illness 0.614017 strict food preparation 0.412731 Illness onset 0.424772	suspect meal 0.472713 United States 0.442009 ambulatory black man 0.462547 food preparation policies 0.410002 food service workers 0.464422 Raoult C. Ratard 0.431204 gastrointestinal illness 0.41097 large loose stool 0.413429 anti–intestinal motility 0.455323 species-specific C. perfringens 0.634217 Psychiatric hospital residents 0.427478 foodborne C. 0.413754 public health 0.501331 state psychiatric hospital 0.632163 kitchen staff members 0.423533 attack rate 0.427673 perfringens type A. 0.605965 staff members 0.752161 outbreak cause 0.421877 suspect evening meal 0.5624 hospital staff members 0.427703 infection control staff 0.469721 hospital guidelines 0.413695 postmortem examination 0.447248	CLICK HERE
10573	Centers for Disease Control and Prevention	Html	en	Search the NIOSH Website	null	NIOSH Research Rounds 0.715365 NIOSH Milestones 0.609882 NIOSH History 0.611473 Health Workforce Assessment 0.201582 NIOSH Programs 0.651395 Search Form Controls 0.381327 NIOSH Homepage 0.712037 Contact NIOSH 0.809963 NIOSH A-Z Index 0.778422 Contact NIOSH Add 0.673955 Worker Health Study 0.203643 Health Topics 0.260642 Workplace Safety 0.251271 National Occupational Safety 0.222819 NIOSH Advisory Committees 0.697839	occupational safety 0.459645 Search Controls 0.229884 page options Skip 0.22406 Health Effects Laboratory 0.20448 NIOSH Website 0.908723 Construction Occupational Safety 0.201871 NIOSH Science Blog 0.694829 NIOSH Goals 0.612192 FRN Archive 0.514051 Respiratory Health Division 0.21987 Search NIOSHTIC-2 Research 0.24005 NIOSH Centers 0.643782 NIOSH Awards 0.615479 Notices FRN Archive 0.208056	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
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