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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1174	Centers for Disease Control and Prevention	Html	en	Million Hearts: Prevalence of Leading Cardiovascular Disease Risk Factors - United States, 2005-2012	Matthew D. Ritchey, DPT1, Hilary K. Wall, MPH1, Cathleen Gillespie, MS1, Mary G.	community-level CVD risk 0.573838 new cholesterol management 0.53066 product smoking prevalence 0.66949 National Health Interview 0.538015 smoking assessment 0.618347 daily sodium intakes 0.52882 clinical quality measures 0.52542 Million Hearts goals 0.643677 daily sodium intake 0.814168 tobacco smoking analyses 0.543779 current tobacco product 0.917922 blood pressure 0.944589 blood pressure control 0.635299 certain Million Hearts 0.546783 Million Hearts 0.705185 community-level evidence-based strategies 0.528077 major CVD risk 0.739169 combustible tobacco product 0.534948 tobacco product smoking 0.771856 smoking prevalence 0.688795 heart attacks 0.577683 smallest prevalence 0.567502 recent data cycle 0.535928 younger adults 0.548741	low-density lipoprotein cholesterol 0.543764 adults 0.621886 prevalence estimates 0.591174 CVD risk factor 0.579556 prevalence 0.770756 cholesterol management 0.651392 non-Hispanic blacks 0.60122 uncontrolled blood pressure 0.528433 non-Hispanic whites 0.669152 recent data cycles 0.534781 mean daily sodium 0.93875 tobacco product smoking*** 0.536858 prevalence changes 0.581251 cigarette smoking prevalence 0.667031 Hilary K. Wall 0.525102 smoking cessation medications 0.540993 Medical Care Survey 0.527343 current tobacco smoking 0.657431 Mary G. George 0.527923 cholesterol management rates 0.529919 statistically significant change 0.616007 current tobacco users.§§ 0.550225 CVD risk factors 0.970543 High Blood Pressure 0.525622	CLICK HERE
4607	Centers for Disease Control and Prevention	Html	en	What Adults with Chronic Obstructive Pulmonary Disease (COPD) Should Know About 2009 H1N1 Flu	null	flu symptoms 0.663188 H1N1 vaccine 0.561975 antiviral medicine 0.49187 live vaccine 0.561902 additional recommendations 0.485246 normal medications 0.485158 alcohol-based hand rub 0.559397 Stay home 0.488097 health care provider 0.841071 influenza-related complications 0.503279 body aches 0.502441 chronic lung disease 0.597954 fever 0.45971 flu vaccine 0.745975 tissue 0.428629 flu virus 0.671345 best way 0.497502 chronic pulmonary diseases 0.631669 Advisory Committee 0.495756 respiratory symptoms 0.489569 Chronic medical conditions 0.61974 sore throat 0.501546 H1N1 flu 0.835917 close contact 0.485037	increased risk 0.505175 chronic pulmonary condition 0.617929 stuffy nose 0.511582 contact information 0.487388 higher risk 0.482901 H1N1 influenza 0.526395 —a vaccine 0.571497 everyday steps 0.484979 sick people 0.503907 upper arm 0.492423 people 0.538367 flu 0.947198 doctor 0.432666 nasal spray vaccine 0.64169 flu shot 0.82217 chronic pulmonary disease 0.633793 mouth 0.434385 Immunization Practices3 0.496744 limit contact 0.486457 infectious illness 0.482925 influenza-related complications2 0.503026 pneumococcal polysaccharide vaccine 0.653053 obstructive pulmonary disease 0.61363	CLICK HERE
4821	Centers for Disease Control and Prevention	Html	en	Using resident health advocates to improve public health screening and follow-up among public housing residents, Boston, 2007-2008	null	Dental screening 0.462883 Boston public housing 0.466071 intervention sites 0.75906 van screening services 0.487502 Community Health Programs 0.482017 intervention condition 0.471857 health information 0.484022 dental disease 0.618861 Boston Public Health 0.538329 health centers 0.522802 Boston Housing Authority 0.474431 health promotion screening 0.554527 high cholesterol 0.631802 control sites 0.653354 housing developments 0.567816 public housing 0.914136 health screening 0.578893 positive screening test 0.516891 University Goldman School 0.499775 previous mobile health 0.483711 RHA-delivered screening promotion 0.465495 RHAs 0.546163 public housing residents 0.913132 mobile health 0.882758 community health 0.616218	screening services 0.561949 positive screening results 0.568529 mobile public health 0.544462 mobile unit health 0.480445 community health worker 0.462779 mobile screening 0.499106 positive screening diagnosis 0.480293 fellow residents 0.473242 health mobile unit 0.482411 Public Health Commission 0.530207 Boston University Goldman 0.503742 public housing developments 0.491985 resident health advocates 0.501665 public health unit 0.462782 community-based participatory research 0.462671 public health 0.585493 participants 0.588763 public health van 0.487523 health 0.953116 mobile health unit 0.552506 community health centers 0.466826 mobile health screenings 0.486236 mobile unit 0.527979 screening van 0.463761	CLICK HERE
7018	Centers for Disease Control and Prevention	Html	en	Section 910 of the Federal Food, Drug, and Cosmetic Act -Application for Review of Certain Tobacco Products	null	Limitation. A tobacco 0.357163 Tobacco Control Act 0.373936 section 0.421055 health information 0.330641 subparagraph 0.322266 application meeting 0.320735 new information 0.335453 new tobacco product 0.403379 subsection apply 0.321415 predicate tobacco product 0.42683 order 0.392655 material facts 0.333472 Secretary issues 0.364151 fair evaluation 0.333627 Contents. An application 0.321448 basis 0.352684 new product 0.337249 respect 0.322847 tobacco products 0.444636 New Products 0.321698 Secretary shall 0.352917 Tobacco Products Scientific 0.42384 interstate commerce 0.356715 detailed information 0.321058 contains information 0.321416	Family Smoking Prevention 0.334305 paragraph 0.33248 subsection 0.340412 Secretary 0.56328 United States 0.358203 records 0.329476 Premarket Review 0.320446 test markets 0.320725 judicial order 0.321223 adverse health 0.333287 adverse health effects 0.332791 public health 0.385932 tobacco product standard 0.440367 valid scientific evidence 0.328326 tobacco product 0.905292 requirements 0.325559 Products Scientific Advisory 0.393189 informal hearing 0.333084 adequate information 0.362731 applicant 0.339616 adverse health consequences 0.32947 application 0.418255 Scientific Advisory Committee 0.398015 information 0.395703	CLICK HERE
9732	Centers for Disease Control and Prevention	Html	es	La biografía de Jamason - La historia de Jamason - Historias de la vida real - Consejos de exfumadores	Jamason tiene 18 años y sufre de asma. Su historia completa es parte de la campaña de los CDC Consejos de exfumadores.	Archivo Apple Quicktime 0.76797 Archivo Zip Comprimido 0.763128 Archivo Microsoft PowerPoint 0.788028 Archivo Adobe PDF 0.76715	Archivo Microsoft Excel 0.763057 mamá sherri 0.731368 Archivo Microsoft 0.965896 peor ataque 0.723173	CLICK HERE
10403	Centers for Disease Control and Prevention	Html	en	2008 Stroke Hospitalization Atlas Among Medicare Beneficiaries'Publications'DHDSP'CDC	null	Medicare Beneficiaries 0.827702 cardiovascular disease 0.54472 Centers 0.360724 CDC atlases 0.593485 co-morbidity 0.384999 Nwaise IA 0.517933 stroke specialists 0.627856 hospital facilities 0.506349 Human Services 0.488338 section 0.334495 Medicaid Services 0.530813	U.S. Department 0.496334 DS 0.35152 race/ethnicity 0.33379 discharge status 0.534248 stroke hospitalizations 0.985156 Disease Control 0.487283 Atlanta 0.331418 collaboration 0.344344 series 0.337345 Croft JB 0.549843 county-level maps 0.563696	CLICK HERE
10877	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Practice"Research Partnerships and Mentoring to Foster Evidence-Based Decision Making - CDC	When practitioners take an evidence-based approach to chronic disease prevention, they undertake several important processes (1): 1) making decisions based on the best available scientific and rigorous program evaluation evidence; 2) applying program planning and quality improvement frameworks; 3) engaging the community and stakeholders in assessment and decision making; 4) adapting evidence-based interventions for specific populations or settings; and 5) conducting sound evaluation. By using an evidence-based approach, activities in public health practice are explicitly linked with the underlying scientific evidence that demonstrates the causes of chronic diseases, epidemiologic patterns of chronic diseases and risk factors, intervention effectiveness, and external validity.	public health issues 0.70126 Annu Rev Public 0.709754 research 0.732959 Prevention Research Center 0.67623 R2R program elements 0.682012 evidence-based practice 0.674584 Health Promot Pract 0.673493 public health budgets 0.692816 Rev Public Health 0.719416 effective partnerships 0.662867 mentorship program 0.700642 quality improvement frameworks 0.663418 National Cancer Institute 0.728721 participatory research 0.69582 Public health history 0.694286 public health services 0.693469 intervention evidence 0.663541 public health 0.984161 external validity 0.691242 evidence base 0.671341 health care systems 0.683092 chronic diseases 0.695129 Ross C. Brownson 0.695029 Participatory research methods 0.678134	specific intervention approaches 0.676101 heart effective partnerships 0.661987 systems science methods 0.662819 evidence-based public health 0.734177 public health lack 0.711803 program evaluation evidence 0.702597 R2R program 0.739843 St Louis 0.672986 real world settings 0.669826 public health practice 0.759836 public health settings 0.707983 evidence-based approach 0.700122 new scientific information 0.673233 practice-based research 0.729719 policy makers 0.696055 practice-based research networks 0.699686 evidence-based interventions 0.710059 chronic disease interventions 0.68866 practice-based evidence 0.719938 public health sciences 0.714257 chronic disease prevention 0.779143 public health agency 0.713675 R2R program objectives 0.686965	CLICK HERE
11490	Centers for Disease Control and Prevention	Html	en	ELISA Software for Bioassays | Installation	This installation qualification protocol provides precise instructions for the installation of the ELISA program.	date 0.624033 network workstation 0.644411 ELISA Setup dialog 0.660017 correct subdirectory 0.628682 Locate CDC ELISA 0.621554 CDC Program ELISA 0.700992 directory 0.641253 ELISA executable file 0.622379 disk available Note 0.61662 network 0.697662 Begin installation box 0.6313 quality control authorities 0.617502 file 0.680543 Program ELISA abstracts 0.628559 network workstation installation 0.629434 MB minimum 0.617144 Approval signature block 0.613006 YES/NO 0.925672 ELISA program 0.612898 Elisa installation program 0.680159 box Begin installation 0.631307 CDC ELISA User 0.634 operational qualification protocol 0.673918 certified network application 0.670266	appropriate quality control 0.617032 workstation installation directory 0.627794 dialog box 0.651017 network environment 0.664234 installation qualification protocol 0.751759 various ELISA readers 0.613887 file download complete 0.632357 elisa 0.767595 elisa software 0.714526 Windows Explorer 0.725286 File download progress 0.630972 shortcut creation dialog 0.625317 Processor speed Note 0.617694 CDC ELISA 0.712466 ELISA opening screen 0.726466 download web page 0.618595 Program ELISA Software 0.658458 current document number 0.691467 download progress box 0.623062 ELISA download web 0.614008 subdirectory 0.638638 Directory setup screen 0.618016 electronic copy location 0.686624	CLICK HERE
13600	Centers for Disease Control and Prevention	Html	en	How are children different from adults? | Caring for Children in a Disaster ||CDC	Information for families about emergencies and preparedness. Provided by the Centers for Disease Control and Prevention (CDC).	e.g. dehydration 0.492776 hard situations 0.438733 fewer experiences 0.457586 Young children 0.443109 limited information 0.413261 list Skip 0.732504 blood loss 0.446445 disasters 0.297983 page options Skip 0.961261 adults 0.376421 Older children 0.439894	navigation Skip 0.730721 unique needs 0.477754 body weight 0.772129 pound 0.291175 bigger effect 0.483856 higher surface-to-mass ratio 0.777568 children 0.480206 medical decisions 0.445556 Fluid loss 0.456198 body heat 0.449416 thinner skin 0.512131	CLICK HERE
15284	Centers for Disease Control and Prevention	Html	en	Final state-level influenza vaccination coverage estimates for the 2010-11 season-United States, National Immunization Survey and Behavioral Risk Factor Surveillance System, August 2010 through May 2011	Final estimates for 2010-11 seasonal flu vaccine coverage - CDC	short influenza vaccination 0.280325 cumulative influenza vaccination 0.276178 monthly coverage estimates 0.252109 influenza vaccination coverage 0.799667 adults 0.443055 National Health Interview 0.228515 national coverage 0.336611 BRFSS data 0.228353 school-located vaccination 0.206117 children 0.390415 monthly vaccination coverage 0.287406 non-Hispanic blacks 0.31182 season 0.312609 ) coverage. 0.70534 vaccination coverage levels 0.326492 non-Hispanic whites 0.316246 seasonal influenza vaccine 0.249984 Influenza Season 0.236222 estimates 0.292711 coverage 0.987276 State-specific coverage 0.273965 non-Hispanic white adults 0.241371	percentage-points 0.206369 level influenza vaccination 0.281838 ACIP recommendation 0.209428 national influenza vaccination 0.329594 influenza vaccination behavior 0.288506 influenza vaccination season 0.294873 South Dakota 0.223537 non-Hispanic black adults 0.241422 Health Interview Survey 0.226845 lower vaccination coverage 0.279175 influenza vaccination status 0.27443 influenza vaccination 0.931232 H1N1 vaccination 0.23389 seasonal influenza vaccinees 0.250615 child vaccination coverage 0.284778 persons 0.224687 child coverage 0.212485 annual influenza vaccination 0.32447 local vaccination coverage 0.281574 non-Hispanic black children 0.237831 non-Hispanic white children 0.2378	CLICK HERE