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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
993	Centers for Disease Control and Prevention	Html	en	Update on Vaccine-Derived Polioviruses - Worldwide, July2012-December 2013	Ousmane M. Diop, PhD1, Cara C. Burns, PhD2, Steven G.	AFP onset 0.684842 corresponding OPV strain 0.769631 sewage samples 0.714735 polio outbreaks 0.625161 Polio Laboratory Network 0.747116 AFP patients 0.939848 cVDPV3 outbreak 0.674196 new circulating VDPV 0.649814 AFP cases 0.701442 divergent vaccine-derived polioviruses 0.621607 prolonged iVDPV infections 0.656416 vaccination coverage 0.656545 cVDPV outbreaks 0.6532 indigenous cVDPV2 outbreak 0.710934 highly divergent avdpv1s 0.657831 OPV 0.800189 reporting period 0.688565 primary immunodeficiency 0.698349 new outbreak 0.635933 new outbreaks 0.657958 Nigeria 0.684245 routine immunization schedules 0.675559 iVDPV infections 0.732102	polio vaccination coverage 0.656017 World Health Organization 0.675028 VDPVs 0.674684 environmental samples 0.701625 immunologically normal OPV 0.632351 inactivated poliovirus vaccine 0.68906 Chad. Circulating VDPV2s 0.620606 countries 0.659679 severe combined immunodeficiency 0.764305 low OPV coverage 0.64685 AFP case 0.689104 acute flaccid paralysis 0.664403 AFP patient 0.932867 vaccine-derived polioviruses 0.643852 large outbreak 0.709025 primary immunodeficiencies 0.623439 recent cVDPV outbreaks 0.635393 high OPV coverage 0.620033 newly identified persons 0.619682 Global Polio Laboratory 0.744032 Regional Office 0.687754 outbreaks 0.689392 Angola. An AFP 0.681445	CLICK HERE
2997	Centers for Disease Control and Prevention	Video	en	Surgeon General Video Contest: Tobacco I'm Not Buying It Rap	The Manatee Youth for Christ SOZO team rap about the dangers of tobacco, its effect on youth, and why they’re not buying it. Created by grand prize winner (13 – 17 yrs.) Dantreal Waiters.	Life Sentence 0.330434 CDC 0.275488 Online Tobacco Retailers 0.507702 Tobacco Addiction Story 0.514133 Disease Control 0.464082 Manatee Youth 0.349163 Duplin TRU Team 0.490439 best rhymers 0.334765 Dont Always Die 0.329651 Anti smoking rap 0.480471 age category 0.341642 Smokers 0.255734 comment policy 0.34166 Smoke Rap 0.416919 Duration 0.988351 Good Morning 0.32569 Dantreal Waiters 0.354151 Home Alchemy 0.334153 grand prize 0.792848 Ð?аташа Букина 0.339923 old chain smoker 0.466086 vpro metropolis 0.496439 Rap Battle 0.387585 Traffic Stop 0.324139	Runner 0.44913 Centers 0.244739 Haydn Russell 0.340682 Chain Hang Low 0.437151 Chicken Egg 0.328194 Yo tengo el 0.501187 BEST QUALITY 0.339091 Buying Tobacco Online 0.516244 Rap Battles 0.373715 Christ SOZO team 0.483349 Video Contest 0.357237 views 0.650657 Cigarettes Smoke 0.555216 Gross Out Video 0.33265 boondocks best references 0.467092 Totally Disgusting Tobacco 0.49164 Ages 0.404664 casie mcgill 0.339567 Surgeon General 0.343375 Perry PirateNationNews 0.330171 Tabaco y la 0.378753 Planet Nibiru 0.343825 grand prize winner 0.487048 Lindsay Lohan 0.33193	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
7023	Centers for Disease Control and Prevention	Html	en	Section 916 of the Federal Food, Drug, and Cosmetic Act -Preservation of State and Local Authority	null	chapter 0.465269 product liability law 0.519692 access 0.352072 United States Code 0.531357 possession 0.369941 rule 0.386372 rules 0.328095 distribution 0.352232 individuals 0.351828 information reporting 0.560269 measures 0.325935 trade secret 0.424171 government 0.327803 Armed Forces 0.455215 action 0.322861 Construction Regarding Product 0.523811 addition 0.356074 requirements 0.352485 disclosure 0.32677 local taxation 0.438453 Exception. Subparagraph 0.42768 Indian tribe 0.452992 confidential information 0.42253	adulteration 0.334292 requirement 0.356135 tribal 0.325145 safety standards 0.558479 respect 0.362516 tobacco products 0.909783 premarket review 0.447606 provisions 0.328136 sale 0.352265 product standards 0.427317 measure 0.3561 exposure 0.358243 regulation 0.354192 State 0.544716 provision 0.35806 Federal agency 0.4569 Preservation. 0.328253 authority 0.324685 General 0.326612 registration 0.323997 risk tobacco products 0.634758 political subdivision 0.606254 good manufacturing standards 0.540506	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
9930	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Racial and Ethnic Differences in Physical Activity and Bone Density: National Health and Nutrition Examination Survey, 2007"2008 - CDC	Participation in regular physical activity (PA) may help maintain bone health as people age. However, most American adults do not engage in the recommended minimum levels of PA, and there are racial/ethnic differences in PA participation.	femoral bone mineral 0.402554 bone density groups 0.401617 Non-Hispanic white men 0.402309 low PA category 0.363107 mineral density values 0.390173 high school education 0.379979 non-Hispanic black women 0.41698 bone mineral density 0.928468 higher bone mineral 0.409023 normal bone density 0.408042 mineral density analysis 0.385308 bone mineral content 0.393582 low levels 0.38317 Nutrition Examination Survey 0.361862 femur bone mineral 0.382512 osteoporosis medications 0.424035 high bone mineral 0.401368 body mass index 0.391283 bone health 0.452994 bone health data 0.376298 osteoporosis 0.432182 peak bone mass 0.366325 poverty–income ratio 0.469493 lower levels 0.404351 bone density differences 0.437443	non-Hispanic black men 0.416695 linear regression models 0.388524 normal bone mineral 0.384826 high levels 0.4089 lower bone mineral 0.398512 non-Hispanic black counterparts 0.396747 mineral density distribution 0.379082 PA participation 0.365879 mineral density test 0.383604 racial/ethnically diverse sample 0.386666 non-Hispanic whites 0.543458 current physical activity 0.366668 bone density 0.557951 non-Hispanic white participants 0.406248 non-hispanic blacks 0.607905 bone loss 0.374171 physical activity 0.436553 PA distribution levels 0.362457 mineral density measurement 0.383268 poor bone health 0.382578 higher bone density 0.420458 non-Hispanic white samples 0.410439 non-Hispanic white women 0.416972 levels 0.42011	CLICK HERE
12981	Centers for Disease Control and Prevention	Html	en	HIV Infection and HIV-Associated Behaviors Among Persons WhoInject Drugs - 20 Cities, United States, 2012	Michael W. Spiller, PhD1, Dita Broz, PhD1, Cyprian Wejnert, PhD1, Lina Nerlander, BMBCh1, Gabriela Paz-Bailey, MD, PhD1, for the National HIV Behavioral Surveillance System Study Group (Author affiliations at end of text).	HIV behavioral interventions 0.395095 new HIV infections 0.372842 behavioral survey data 0.298802 health insurance 0.409653 PWID 0.69269 male-to-male sexual contact 0.452984 Michael W. Spiller 0.345367 HIV prevention 0.430213 risk behaviors 0.36404 HIV behavioral intervention 0.748993 HIV prevalence 0.483113 male PWID 0.292893 anonymous HIV testing 0.40138 HIV infections 0.434148 HIV-positive test results 0.412616 higher HIV prevalence 0.401831 PWID network size 0.31014 HIV-positive PWID 0.287446 previous HIV-positive test 0.357318 group HIV 0.34658 screening test result 0.322746 personal HIV status 0.397291 HIV prevention programs 0.418857	opposite sex partner 0.386803 positive HIV test 0.420956 participants 0.322899 HIV Behavioral Surveillance 0.472709 HIV acquisition 0.343116 HIV prevention efforts 0.375736 HIV behavioral intervention.** 0.414166 CI 0.422506 HIV test 0.450136 NHBS survey 0.280074 behavioral analysis 0.355509 HIV-positive test result 0.34906 injection equipment 0.346981 vaginal sex 0.281189 nonreactive screening test 0.276642 National HIV Behavioral 0.47325 HIV risk 0.381233 heterosexual anal sex 0.353286 HIV 0.917234 HIV test results 0.381602 HIV testing 0.561187 substance abuse treatment 0.277355 HCV 0.27672	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
14002	Centers for Disease Control and Prevention	Html	es	EstadÍsticas sobre el cÁncer asociado al VPH	Estadísticas sobre el cáncer asociado al VPH.	Archivo Apple Quicktime 0.635592 Archivo RealPlayer 0.511281 Archivo Zip Comprimido 0.629015 Archivo Microsoft PowerPoint 0.640958	Archivo Adobe PDF 0.617618 Archivo Microsoft Excel 0.611209 Archivo Microsoft 0.918953	CLICK HERE