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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
1230	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Smoking Initiation, Tobacco Product Use, and Secondhand Smoke Exposure Among General Population and Sexual Minority Youth, Missouri, 2011"2012 - CDC	Research indicates disparities in risky health behaviors between heterosexual and sexual minority (referred to as LGBQ; also known as lesbian, gay, bisexual, queer, and questioning) youth. Limited data are available for tobacco-use–related behaviors beyond smoking status. We compared data on tobacco age of initiation, product use, and secondhand smoke exposure between general population and LGBQ youth.	smoking rates 0.326979 sexual orientation 0.36997 rules 0.311543 current smokers 0.442575 LGBQ youth smoking 0.38961 Youth Tobacco Survey 0.384204 smoking status 0.337712 LGBQ youth 0.823608 tobacco 0.48911 current smoking 0.470817 general population counterparts 0.306167 LGBQ youth face 0.312838 LGBQ youth smoke 0.334874 fewer LGBQ youth 0.310274 LGBQ Missouri youth 0.315269 tobacco products 0.395027 smoking status variables 0.330921 SHS exposure 0.475032 LGBQ sample 0.29752 general population youth 0.848787 youth tobacco surveys 0.32406 cigarettes 0.398197 high smoking rates 0.323528 youth SHS 0.298017	Missouri Youth Tobacco 0.361204 LGBQ youth tobacco 0.334535 sexual minority youth 0.295964 current smoking prevalence 0.336295 general population 0.921643 cigarette smoking 0.313689 LGBQ female youth 0.316756 general population age 0.297101 smoking 0.70468 entire life 0.317737 cigar/cigarillo smoking 0.304474 multiple tobacco products 0.31966 LGBQ youth results 0.310111 smoking behaviors 0.304129 tobacco product 0.39482 delayed smoking initiation 0.321324 smoking initiation 0.456524 health 0.299214 National Youth Tobacco 0.321914 LGBQ male youth 0.31727 home 0.309723 LGBQ status 0.377844 heterosexual youth 0.344403 response 0.513152	CLICK HERE
9313	Centers for Disease Control and Prevention	Html	es	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0093	CDC - Wide Page example description goes here	salud pública 0.904169		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
10753	Centers for Disease Control and Prevention	Html	en	PRAMS Publications - Pregnancy Risk Assessment Monitoring System - Reproductive Health	PRAMS MMWR, publications, research	Pregnant Smokers 0.337558 Risk Factor Surveillance 0.368559 infant—Pregnancy Risk Assessment 0.376549 depressive symptoms—17 states 0.366668 New York City 0.472803 Health Insurance Coverage 0.363777 seasonal influenza vaccination 0.363267 Nicotine Replacement Therapy 0.360957 technical materials 0.336512 influenza vaccine 0.336264 infant sleep position 0.348746 MMWR Surveill Summ 0.38449 Ding H. Prev 0.367732 interconception health status 0.357542 pregnancy—Pregnancy Risk Assessment 0.3785 Womens Ment Health. 0.361587 Pregnancy Pregnancy Risk 0.381209 prenatal care—United States 0.363555 maternal characteristics 0.337897 maternal HIV testing—14 0.361161 United States 0.394908 Reproductive Health 0.336445 Source 0.467596 infant Healthy People 0.354895 MMWR Morb Mortal 0.384322	Assessment Monitoring System—Oklahoma 0.371776 unintended pregnancies 0.365073 Pregnancy Risk Assessment 0.767204 recent live births 0.353403 preconception health 0.364319 Births—Pregnancy Risk Assessment 0.380474 maternal behaviors 0.365157 PRAMS–related journal publications 0.366137 National Library 0.363255 Influenza Season 0.338724 Objectives—19 states 0.340171 PubMed service 0.335859 MMWR 0.489402 PRAMS 0.379402 Carla L. Black 0.358685 text articles 0.360614 Influenza Vaccination Coverage 0.419119 states—Pregnancy Risk Assessment 0.370169 preconception health indicators 0.360301 et al 0.36264 Unintended Pregnancies Resulting 0.363773 Indicators—Pregnancy Risk Assessment 0.381064 Risk Assessment Monitoring 0.966343 health-related behaviors—selected states 0.36399	CLICK HERE
11026	Centers for Disease Control and Prevention	Html	en	Advisory Committee on Immunization Practices (ACIP) recommends a preference for using the nasal spray flu vaccine | Media Statement | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	website 0.264558 list Skip 0.809373	page options Skip 0.939826 historical purposes 0.521589	CLICK HERE
11954	Centers for Disease Control and Prevention	Html	en	Inside Knowledge Campaign Posters | Help raise awareness about gynecologic cancer and related symptoms	Posters featuring survivors and facts about gynecologic cancer may be used in a variety of settings, such as medical offices or clinical practices, at health fairs, in workplaces, and other community settings to help raise awareness about gynecologic cancer and related symptoms.	independently created materials 0.449485 health fairs 0.401903 Knowledge print ads 0.450148 contractual agreements 0.386146 gynecologic cancer symptoms 0.623734 Human Services 0.384903 gynecologic cancer 0.767851 clinical practices 0.408068 Knowledge images 0.387268 federal policy 0.388023 inches 0.944034 Hispanic woman 0.393406 gynecologic cancer help 0.53589 vaginal bleeding 0.510587 symptoms diaries 0.385194 Knowledge fact sheets 0.461118 x17 0.40331 Pablo talks 0.389728 important advice 0.392361 campaign logo 0.380052 public service announcements 0.458011 versions 0.362482 Gynecologic cancers 0.537061 Knowledge campaign 0.381999 non-CDC entities 0.385732	CDC campaign 0.387824 gynecologic cancer survivor 0.49843 Actress Cote 0.395371 ovarian cancers 0.393982 Writer/performer Jenny Allen 0.465215 CDC’s Web 0.38884 contact CDC-INFO 0.381756 cervical cancer scare 0.470574 medical offices 0.408113 African American woman 0.474462 posters 0.3563 photo 0.356437 Formats 0.614067 Cote de Pablo 0.396981 African-American women 0.387481 diverse women 0.468391 doctor 0.378275 White woman 0.392702 community settings 0.401763 third-party organizations 0.385716 campaign resources 0.381838 print disks 0.379889 Conozca su cuerpo 0.460371 information 0.356289	CLICK HERE
12854	Centers for Disease Control and Prevention	Html	en	CDC Responders: Fred and Fatima	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.	CDC 0.779711 daily lives 0.545351 husband 0.340605 girls 0.43492 spouse 0.348299 daughters 0.340488 media channels 0.507121 single main message 0.684807 grandfather 0.339943 wife Fred 0.643827 Epidemic Intelligence Service 0.673951 Fatima 0.744779 contact tracing 0.729443 Family Appreciation Night 0.651995 CDC epidemiologist 0.641537 Fred 0.683554 merit 0.340196 early identification 0.513473 oldest daughter 0.500386 campaign 0.408545 health communication team 0.709721 lead epidemiologist 0.51843 Guinea 0.380732 absence 0.348519	Ebola responders 0.644499 Sierra Leone 0.527999 4-week project 0.533761 footsteps 0.341464 epidemiologists 0.353623 sophisticated contact tracing 0.686333 CDC employees 0.722016 symptomatic patients 0.530732 deployment 0.384019 kids 0.339512 Ebola Big Idea 0.821578 Ebola response 0.923079 Liberia 0.344447 Ebola patient 0.656764 deployments 0.348109 Skype 0.342266 Fatima’s children 0.633285 blackberry 0.342239 CDC family 0.643429 West Africa 0.547757 ones 0.380908 time 0.384522 Dr. Frieden 0.51841 real troopers 0.532477	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
14622	Centers for Disease Control and Prevention	Html	en	Community Interagency Connections for Immigrant WorkerHealth Interventions, King County, Washington State,2012-2013	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	Pan-Asian service agency 0.387885 information sharing 0.495589 Chinese immigrant workers 0.46573 high betweenness centrality 0.370297 service agency sectors 0.421124 occupational health 0.478468 betweenness centrality score 0.363682 Chinese service agencies 0.550799 Pan-Asian agency sector 0.429185 community sectors 0.424765 links 0.374191 community-based chronic disease 0.363157 population health 0.363215 overall interagency network 0.377048 Pan-Asian service agencies 0.553198 service agency sector 0.364434 Pan-Asian service 0.567638 community 0.520807 chronic health problems 0.410397 health problems 0.46044 immigrant workers 0.566535 joint programs 0.512825 resource sharing 0.415947 social network analysis 0.639173 Pan-Asian service sectors 0.398376	community interagency networks 0.450298 chronic disease prevention 0.366163 occupational health disparities 0.477051 immigrant worker health 0.981684 relevant network agencies 0.403835 community agency networks 0.446095 network 0.639718 public agency sector 0.517721 Chinese immigrant worker 0.506269 interagency network structure 0.382748 Chinese immigrants 0.442424 immigrant community institutions 0.378948 Chinese FBOs 0.388797 joint political actions 0.469467 service contracts 0.459466 agencies 0.848234 service agencies 0.570015 interagency networks 0.591562 Chinese FBO 0.385107 public agencies 0.424199 Chinese service agency 0.42186 co-ethnic service agencies 0.371432 Chinese service sector 0.39275 undirected interagency networks 0.367271	CLICK HERE