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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
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
8782	Centers for Disease Control and Prevention	Html	en	Microbes in Pool Filter Backwash as Evidence of the Need forImproved Swimmer Hygiene - Metro-Atlanta, Georgia, 2012	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.	free chlorine 0.50787 saltwater-generated free chlorine 0.308956 recreational water illness 0.218119 acute gastrointestinal illness 0.286469 pools 0.368552 local environmental health 0.411306 metro-Atlanta public pools 0.339254 aquatics staff 0.255789 E. coli 0.907575 P. aeruginosa 0.666101 pool filter backwash 0.266099 P. aeruginosa detection 0.207557 recreational water 0.491342 Cryptosporidium spp. 0.292077	public health standards 0.481954 ultraviolet light disinfection 0.204283 pre-swim shower 0.220069 filter backwash samples 0.806742 swimmers 0.26621 local public health 0.21061 maintain disinfectant level 0.20225 RWI outbreaks 0.25685 disinfectant level 0.460706 traditional chlorine products 0.331726 recreational water venues 0.234315 environmental health specialists 0.507855 pathogenic toxin–producing E. 0.208757	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
9403	Centers for Disease Control and Prevention	Html	es	Mortalidad de indígenas urbanos de Canadá, 1991-2001.	null	Naciones Originarias 0.950724 National Aboriginal Health 0.384625 Statistics Canada record 0.336573 Health Rep 0.450829 Sin embargo 0.447212 urban aboriginal 0.410662 Preventing Chronic Disease 0.343978 Health Officer Annual 0.333046 aboriginal populations 0.371006 Aboriginal Health Organization 0.386635 health research projects 0.334525 health research discussion 0.333508 Wilkins R 0.391833 Young TK 0.383809 Health Organization 0.412594 World Health Organization 0.366055 Health Canada 0.349893 indígenas inuit 0.413728 zonas urbanas Ã?reas 0.359753 Services Canada 0.342994 First Nations 0.42742 Statistics Canada 0.728191 Columbia Provincial Health 0.332891 indígenas naciones originarias 0.415008 Aboriginal health research 0.397876	Health Council 0.350083 Division Statistics Canada 0.334066 Peters EJ 0.333076 indígenas residentes 0.838789 Public Health 0.447192 Not strangers 0.339388 Aboriginal peoples survey 0.333668 Health Stat Q 0.332832 Tjepkema M 0.364511 health regions with 0.333135 Policy Research Initiative 0.367684 Statistics Canada Coverage 0.338594 aparato circulatorio 0.582267 Columbia Británica 0.333496 aboriginal health 0.602704 elevada mortalidad 0.338705 Newhouse D 0.357344 aboriginal canada 0.343136 indígena única —y 0.343787 chronic diseases 0.368022 Asuntos Indígenas 0.428891 Related Health Problems 0.332684 Provincial Health Officer 0.364843 Health Information 0.355368	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
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
15666	Centers for Disease Control and Prevention	Html	en	Update on Vaccine-Derived Polioviruses - Worldwide, January2015-May 2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	paralysis onset 0.422571 trivalent OPV 0.449336 corresponding OPV strain 0.460877 oral poliovirus vaccine 0.602124 recent positive sample 0.45368 routine vaccination coverage 0.500588 immunodeficient source patient 0.432607 VP1 region 0.471052 AFP 0.54664 polio virus type 0.439867 Polio Laboratory Network 0.542724 wild poliovirus type 0.508608 VP1 substitutions 0.457027 AFP cases 0.545845 divergent vaccine-derived polioviruses 0.450514 cVDPV outbreaks 0.608337 OPV 0.541329 reporting period 0.490212 wild polioviruses 0.430514 VP1 nucleotide sequences 0.509788 VP1 nucleotide differences 0.484379 low routine vaccination 0.448598 genetic divergence 0.432809	Global Polio Eradication 0.622126 sensitive AFP surveillance 0.432008 Polio Eradication Initiative 0.617511 World Health Organization 0.647275 environmental samples 0.47111 new cVDPV outbreaks 0.516254 highly divergent isolates 0.430345 new iVDPV infections 0.446226 VP1 divergence 0.922704 low OPV coverage 0.423272 AFP case 0.535132 new cVDPV2 emergence 0.463101 acute flaccid paralysis 0.449876 vaccine-derived polioviruses 0.516307 AFP patient 0.428274 VP1 sequences 0.468684 bivalent OPV 0.449303 newly identified persons 0.481178 Global Polio Laboratory 0.544661 Regional Office 0.465404 parental OPV strains 0.484955 AFP clinical samples 0.445701 polio eradication efforts 0.432592	CLICK HERE
16395	Centers for Disease Control and Prevention	Html	en	Precision Medicine: What Does it Mean for Your Health? | CDC Eat	Precision medicine, sometimes called personalized medicine, is an approach for protecting health and treating disease that takes into account a person’s genes, behaviors, and environment. Interventions are tailored to individuals or groups, rather than using a one-size-fits-all approach in which everyone receives the same care. But what does this mean and how can precision medicine protect your health?	certain diseases 0.245925 certain newborn screening 0.423431 disease outbreaks 0.205732 Tracking Infectious Diseases 0.316932 Tailoring Prevention 0.206255 better track disease 0.359397 heart disease 0.363649 cystic fibrosis 0.325495 familial hypercholesterolemia 0.206601 certain medications 0.248502 colon) cancer. 0.344532 one-size-fits-all approach 0.235897 patient sick 0.203761	precision medicine approach 0.63747 unique disease risks 0.406021 Certain treatments 0.220002 disease 0.59895 gene variants 0.312321 certain genetic changes 0.367279 public health officials 0.336674 people 0.250652 certain medical conditions 0.404027 BRCA2 mutation 0.342255 family health history 0.823866 family history 0.200364	CLICK HERE