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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
702	Centers for Disease Control and Prevention	Html	en	Seasonal Influenza Vaccination Coverage Among Women WhoDelivered a Live-Born Infant - 21 States and New York City, 2009-10and 2010-11 Influenza Seasons	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.	influenza infection 0.322347 influenza vaccination coverage 0.866005 influenza vaccination data 0.461318 H1N1 flu shot. 0.272803 influenza vaccination postpartum 0.44382 Weighted PRAMS data 0.288202 seasonal influenza vaccination 0.797046 New York City 0.319963 vaccination coverage 0.987757 vaccination promotion strategies 0.409116 pregnant women 0.72243 higher influenza vaccination 0.444025 vaccination coverage levels 0.378916 state birth certificate 0.263401 vaccination rates 0.341725 influenza vaccine 0.331595 pregnancy 0.349482 Pregnant women experience 0.33784 median vaccination coverage 0.419292 vaccination coverage data 0.398227 live births 0.367256 live-born infant 0.270743 Indu B. Ahluwalia 0.307812 CDC PRAMS team 0.273046 high seasonal influenza 0.347928	PRAMS influenza supplement 0.339169 states 0.278077 postpartum women 0.27415 Immunization Practices 0.267605 Pregnancy Risk Assessment 0.329904 Advisory Committee 0.270255 recent live births 0.26848 American College 0.270292 PRAMS data 0.300885 evidence-based vaccination promotion 0.349343 state median response 0.279631 influenza season 0.510121 seasonal vaccination coverage 0.50066 influenza vaccines 0.301695 provider recommendation 0.351103 vaccination efforts 0.331562 influenza vaccination 0.988219 influenza seasons 0.301875 seasonal flu shot 0.44074 common place women 0.288947 state-specific seasonal influenza 0.372038 influenza vaccine safety 0.328481 public health efforts 0.308462 median coverage 0.26497	CLICK HERE
4579	Centers for Disease Control and Prevention	Html	en	Quick Facts for the Public on Antiviral Treatments for 2009 H1N1	null	flu test result 0.492159 influenza diagnostic test 0.246214 rapid flu test 0.633703 prescription antiviral drug 0.359643 high risk groups 0.311647 health care provider 0.760246	rapid flu tests 0.482047 lung disease 0.246344 Health care providers 0.402218 common side effects 0.254942 flu complications 0.61774	CLICK HERE
4952	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, October 11, 2010	null	postnatal depression scale 0.721746 urinary sodium excretion 0.716515 household survey data 0.726354 Nutrition Survey 0.684134 Health Organization African 0.756352 primary care providers 0.729258 African region 0.719429 Maternal influenza vaccination 0.732006 CDC Science Clips 0.9649 Program transition initiative 0.71632 Pathology collaborative project 0.72606 new weekly digest 0.742414 Chief Science Officer 0.755085 school vending machines 0.733181 nested case-control study 0.732124 condom distribution interventions 0.732125 DNA reference materials 0.728845 nutrition examination survey 0.725235 public domain 0.686589 12-month follow-up 0.680641 human immunodeficiency virus 0.746354 Stephen B. Thacker 0.875059 Behavioral Risk Factor 0.7267 Hearing health 0.689088 Multiple healthy behaviors 0.724779	United States 0.776997 behavioural risk factors 0.713814 National Spina Bifida 0.741918 young U.S. adults 0.73296 health study 0.692828 influenza virus infection 0.727025 immunodeficiency syndrome 0.690224 Surveillance System Survey 0.677608 region laboratory accreditation 0.728599 Primary immunodeficiency diseases 0.751281 emergency department patients 0.744992 Pediatr Adolesc Med. 0.733999 optimal self-rated health 0.75848 public health literature 0.753534 Youth Physical Activity 0.735902 B. Thacker CDC 0.958261 high school students 0.725735 randomized controlled trial 0.715591 original sources 0.689143 Korean national health 0.747372 complex activity limitations 0.722734 persistent organic pollutants 0.721957 Health Serv Res. 0.757757 Thacker CDC Library 0.958213	CLICK HERE
6855	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0120	Several well-established determinants of health are associated with premature mortality. Using data from the 2010 County Health Rankings, we describe the association of selected determinants of health with premature mortality among counties with broadly differing levels of income.	county mortality data 0.431086 lower premature mortality 0.488074 Population Health Sciences 0.358692 average premature mortality 0.451721 county-level premature mortality 0.458659 adverse health outcomes 0.359038 CDC Compressed Mortality 0.405283 higher income levels 0.366972 household income levels 0.454786 Prevention Compressed Mortality 0.432243 4-year college degree 0.377376 mortality disparities 0.407114 health outcomes 0.404858 County Health Rankings 0.51305 higher premature mortality 0.487669 premature mortality determinants 0.461343 Disease Control 0.359071 median household income 0.594244 percentage 0.374675 county-level income 0.364643 health care 0.465978 public health 0.373585 multivariable regression 0.357527 median annual household 0.358229	variables 0.357658 population health 0.381715 Compressed Mortality database 0.46513 federal poverty guidelines 0.368544 high-income counties 0.361263 mortality measures 0.383269 health 0.515404 income levels 0.466262 annual household income 0.385585 Gini index scores 0.364765 scores income inequality 0.400218 index scores income 0.39205 Greater income inequality 0.368512 overall mortality 0.393562 better mortality outcomes 0.400742 income groups 0.444674 lower mortality rates 0.417628 income inequality 0.511764 population health model 0.357571 age-adjusted mortality rate 0.466962 premature mortality 0.942408 counties 0.424374 premature mortality rate 0.515903	CLICK HERE
7555	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Evaluation of Consumer Understanding of Different Front-of-Package Nutrition Labels, 2010"2011 - CDC	Governments throughout the world are using or considering various front-of-package (FOP) food labeling systems to provide nutrition information to consumers. Our web-based study tested consumer understanding of different FOP labeling systems.	study 0.559344 TL labels 0.486856 intake label group 0.477487 FOP labeling systems 0.737801 Choices group 0.600351 nutrition information 0.557016 healthier product quiz 0.59089 control group 0.541977 complex MTL symbol 0.451993 Correct answers 0.49082 products 0.70382 MTL+caloric intake groups 0.537478 new FOP labeling 0.488254 different FOP labeling 0.508378 Choices logo 0.489414 front-of-package label groups 0.479847 MTL label 0.455427 healthier products 0.451289 post-hoc Tukey tests 0.78974 Different FOP symbols 0.469709 food labeling systems 0.458858 participants 0.669975 MTL+caloric intake group 0.527394 groups preferred FOP 0.460294	product 0.702697 9-point Likert scale 0.567933 daily calorie recommendation 0.474757 MTL+caloric intake label 0.676755 food category 0.487141 study groups 0.536592 groups 0.668151 different FOP labels 0.518322 calorie recommendation icon 0.471247 calories 0.455039 TL groups 0.587187 Choices symbol 0.987005 food 0.605026 Dressing California French 0.450772 specific nutrients 0.500089 MTL+caloric intake 0.964299 Chunky Grilled Sirloin 0.542387 multiple traffic light 0.797347 univariate ANOVA 0.480441 label groups 0.569749 FOP labels 0.592835 Grilled Sirloin Steak 0.540741 Health Valley Apple 0.451593	CLICK HERE
9116	Centers for Disease Control and Prevention	Html	en	Announcement: New National Health Interview SurveyOccupational Health Supplement Topic Page	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.	mmwrq@cdc.gov. 0.765203 endorsement 0.672646 Human Services 0.86616 assistive technology 0.766627 National Health Interview 0.91768 prevalence rates 0.752493 sector profiles 0.748022 U.S. Department 0.863176 MMWR HTML versions 0.856979 tables 0.643509 new topic page 0.878064 electronic PDF version 0.842691 e-mail 0.650564 Occupational Health Supplement 0.939743 NIOSH 0.674935 Additional information 0.763933 Contact GPO 0.767932 commercial sources 0.738753 work-related health conditions 0.914239 occupation subgroups 0.757687 current prices 0.735128 work organization factors 0.866528 original paper copy 0.851273 additional profile 0.753039	appropriate attention 0.733342 employer stakeholders 0.746268 sector-level results 0.751849 sector profile 0.74525 U.S. Government Printing 0.854823 original MMWR paper 0.852002 Occupational Safety 0.782877 MMWR readers 0.747161 character translation 0.731896 additional outcomes 0.751367 pressing industry health 0.910264 industry averages 0.758901 National Occupational Research 0.912437 format errors 0.734971 subject line 0.761514 small subsamples 0.74572 typeset documents 0.741575 trade names 0.738858 subsectors 0.639795 official text 0.730253 organizational levels 0.735814 contain charts 0.746327 non-CDC sites 0.738323 electronic conversions 0.730622	CLICK HERE
11173	Centers for Disease Control and Prevention	Html	en	CDC Telebriefing on National Immunization Survey- Teen results and HPV vaccination coverage among adolescents | Transcript | CDC Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	conjugate vaccine dose 0.435382 vaccine injury compensation 0.442131 American Academy 0.382845 Tdap vaccine 0.433572 maggie fox 0.392026 big news story 0.391207 National Vaccine Injury 0.416026 operator 0.402556 new HPV infections 0.436906 Dr. Anne Schuchat 0.377983 lining HPV coverage 0.448003 HPV vaccination coverage 0.49294 teen vaccination results 0.406585 HPV vaccinations 0.449929 Papillomavirus Vaccination Coverage 0.384691 mike stobbe 0.440256 HPV vaccine injuries 0.492496 HPV infections 0.453356 anne schuchat 0.859029 parents 0.43737 meningococcal vaccine 0.412942 HPV vaccination 0.593243 vaccines 0.492689 United States 0.426172 HPV vaccination report 0.461335	altruistic vaccine 0.398633 follow-up question 0.462817 teens 0.388349 HPV vaccine 0.992032 percent 0.436513 vaccine data 0.412452 South Carolina 0.390349 states 0.454584 new vaccine 0.404248 percentage points 0.386971 HPV vaccination rates 0.440283 Area Vaccination Coverage 0.384632 meningococcal conjugate vaccine 0.546436 Dr. Schuchat 0.433501 National Immunization Survey 0.398718 doctor-validated vaccine history 0.431214 HPV vaccine series 0.500602 HPV article. 0.411651 question 0.486378 HPV virus 0.405062 HPV adolescent girls 0.432941 vaccine coverage 0.42528 seriously vaccine safety 0.413593 persistent HPV infections 0.433012	CLICK HERE
11240	Centers for Disease Control and Prevention	Html	null	CDC - Infografía "La verdad acerca del bronceado"	El bronceado en interiores ha sido asociado a cánceres de piel como el melanoma (el tipo de cáncer de piel más mortal), el carcinoma basocelular y los cánceres de ojo (melanoma ocular).			CLICK HERE
11318	Centers for Disease Control and Prevention	Html	en	Measures of People's Skills and Experiences	This page provides tools and resources for researching and evaluating health literacy practice.	American adults 0.355978 International Assessment 0.396015 Health Literacy Measurement 0.553524 Healthcare Providers 0.352618 psychometric properties 0.352495 health information 0.405512 Group Survey 0.352347 Health Literacy Tool 0.583317 RTI International 0.355202 Health Literacy Component 0.576062 health care professionals 0.41471 National Center 0.359917 Educational Progress 0.352155 Addressing Health Literacy 0.555327 people’s literacy 0.532574 technology-rich environments 0.356874 Literacy Tool Shed 0.534949 various subject areas 0.399765 international survey 0.359751 health-related materials 0.355715 Boston University 0.350244 health literacy 0.901496 Consumer Assessment 0.363485 NAAL 0.376742 Adult Competencies 0.403175	first-ever national assessment 0.419518 health literacy measures 0.544518 AHRQ-funded researchers 0.350424 United States 0.349566 health literacy—individuals 0.370742 nationally representative assessment 0.414253 Education Statistics 0.355812 national assessment 0.436978 comprehensive measure 0.367964 Communicate Health 0.370003 CAHPS Consortium 0.353096 health literacy skills 0.613814 reliable assessments 0.350411 supplemental set 0.352362 peer-reviewed literature 0.349426 National Library 0.354013 English literacy 0.510902 Different surveys 0.362058 adult literacy 0.534054 CAHPS Item Set 0.395474 primary goal 0.351473 CAHPS Clinician 0.35622 numeracy skills 0.371806 evaluation questions 0.361329	CLICK HERE
15269	Centers for Disease Control and Prevention	Html	en	World Refugee Day | CDC Features	CDC Promotes and Improves the Health of Refugees Every Day	public health issues 0.633844 refugees 0.76953 mental health 0.550377 current global refugee 0.700567 Brod transit center 0.53599 newly arrived refugees 0.634023 Health’s Division 0.556105 Health Systems Recovery 0.613547 United Nations Refugee 0.735313 U.S. State Department 0.543658 state health departments 0.683986 refugee settings 0.622367 refugee populations 0.742495 public health systems 0.785453 public health crises 0.626523 emergency response 0.542314 Migrant Health Branch 0.621209 specific refugee populations 0.671829 public health emergencies 0.648254 reproductive health 0.546192 Global Response Preparedness 0.568247 health education messages 0.59866 global humanitarian emergencies 0.593352 refugee health 0.989055 global public health 0.749281	state public health 0.611642 Domestic Program works 0.542167 ERRB Branch Chief 0.535824 United States 0.679693 Environmental Health—coordinates CDC 0.54875 Global WASH cluster 0.558417 refugee health profiles 0.838491 Refugee Health Coordinators 0.737114 World Refugee 0.75903 public health professionals 0.610341 public health 0.997603 Humanitarian Health Team 0.620518 Kakuma Refugee Camp 0.675227 Global Health Protection 0.652607 U.S. state health 0.613648 health education strategies 0.592083 Global Rapid Response 0.562146 refugee health programs 0.738891 refugee health information 0.745867 Global WASH Team 0.574658 U.S.-bound refugees 0.580884 Domestic Program 0.617828 United Nations agencies 0.54328 refugee resettlement agencies 0.683185	CLICK HERE