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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4588	Centers for Disease Control and Prevention	Html	en	FluAid Special Edition: Questions & Answers	null	CDC Web site 0.391019 data 0.370742 public health interventions 0.398483 pandemic 0.517532 health outcomes 0.386549 outpatient visits 0.546192 Disease Control 0.354785 similar age 0.351749 HHS Pandemic Influenza 0.51173 estimates 0.442334 high-risk conditions 0.350514 chronic medical conditions 0.448951 specific age groups 0.383941 Health Interview Survey 0.391016 age groups 0.417239 software programs 0.353476 chronic medical conditions* 0.387472 probable total number 0.41118 FluAid Special Edition—that 0.416403 H1N1 pandemic 0.416329 2009 pandemic 0.40194 high risk 0.384205 PM ET 0.35522 1968 pandemic 0.413115	1968-type pandemic 0.412563 FluAid Special Edition 0.926805 public health planners 0.398622 age groupings 0.348868 influenza pandemic plan 0.50985 probable range 0.360731 severe attack rate 0.374728 pre-existing medical conditions 0.397316 health outcome rates 0.379441 potential impact 0.541541 state-specific plan 0.35574 probable impact 0.385816 influenza season 0.471275 attack rate 0.384777 cases 0.356231 H1N1 influenza 0.391806 H1N1 flu pandemic 0.512728 1918-type pandemic 0.411779 http://www.cdc.gov/flu/tools/fluaid/) contains 0.351288 pre-existing chronic 0.390474 most-likely number 0.349244 various gross attack 0.37983 probable number 0.399552 H1N1 flu outbreak 0.394702	CLICK HERE
5065	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, October 05, 2009	null	preterm birth 0.490627 endorsement 0.472626 HSV-2 infection 0.488811 current awareness 0.480293 findings 0.428035 farmworkers 0.420112 STD clinics 0.488498 Disease Control 0.479335 CDC Knowledge 0.657728 Action Science Clips 0.994385 factual accuracy 0.480201 time-series analysis 0.488929 SAFETY PRO 0.481715 Engl J Med. 0.497577 Chief Science Officer 0.578677 tuberculosis 0.416393 article 0.422201 DHHS 0.50849 economic factors 0.478951 DISCLAIMER 0.418303 public domain 0.495686 Stephen B. Thacker 0.736201 Chlamydia prevalence 0.493505 international summer school 0.552869 items 0.434963	Sep 0.41783 United States 0.484821 methods 0.425877 user evaluation 0.483249 pandemic influenza 0.799893 National Job Training 0.556212 Occupational health 0.480443 omission 0.419246 views 0.425396 chronic viral hepatitis 0.559292 implications 0.432784 informational purposes 0.473669 Pandemic influenza planning 0.638086 public health literature 0.546951 permission 0.416833 B. Thacker CDC 0.835697 original authors 0.48033 opinion 0.422237 non-CDC Websites 0.479095 original sources 0.491788 service 0.415653 news sources 0.48066 HIV infection 0.489472 Thacker CDC Library 0.835571	CLICK HERE
7594	Centers for Disease Control and Prevention	Html	en	TB Fact Sheets - Testing for Tuberculosis (TB)	Centers for Disease Control and Prevention, Division of Tuberculosis Elimination	latent TB infection 0.729206 previous TST 0.238446 United States 0.246865 TST work 0.214627 health care provider 0.328564 TB disease 0.82879 positive TST result 0.238055 positive tst 0.275554 TB infection testing 0.340006 BCG shot 0.202863 TB bacteria 0.92892 health care 0.410242 IGRA test instructions 0.207942 TB test 0.305704	health care worker 0.338065 TB vaccine 0.321853 positive igra 0.203609 people 0.239132 tuberculin skin test 0.216251 Negative TST 0.205496 IGRA 0.25405 additional tests 0.202877 TST 0.383496 positive IGRA result 0.202185 person 0.38174 TB coughs 0.345678 TB blood tests 0.358591	CLICK HERE
8473	Centers for Disease Control and Prevention	Html	en	Hispanics/Latinos - For Specific Groups - Tips From Former Smokers - Smoking & Tobacco Use	Smoking-related statistics, information, and quitting resources specific to the Hispanic/Latino community. Part of the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke.	Medicaid enrollees 0.645047 health plans 0.603174 Quit Guide 0.688964 exfumadores 0.435735 lung cancer 0.612266 —the 0.454389 teeth 0.628406 Latino heritage 0.654662 area 0.465328 gums 0.515887 Mariano 0.510838 quit plan 0.684736 Florida 0.439217 Beatrice 0.508382 State Medicaid programs 0.775578 Illinois 0.440362 Texas 0.438435 cigarettes 0.444987 open heart surgery 0.80263 Quitline coaches 0.60563 page 0.435395 women 0.44301 heart attack 0.613181 death 0.443271 United States 0.647389	Felicita 0.513865 face-to-face counseling sessions 0.790663 adults 0.443432 Rose 0.465655 dejar 0.436012 life 0.438777 quit-smoking treatments 0.827539 additional Quitting Resources 0.810377 heart disease 0.649689 causes 0.443294 coverage 0.436047 New York 0.63487 Consejos 0.435755 chance 0.436085 Medicare 0.437362 brain 0.437328 Hispanics/Latinos 0.479088 Real Stories section 0.78949 Cigarette smoking increases 0.982683 ¡Estoy listo para 0.818198 Tips Spanish site 0.774089 Tips participants 0.604466 risk 0.443425 family 0.440878	CLICK HERE
10036	Centers for Disease Control and Prevention	Html	en	Flu Season Continues; Severity Indicators Rise	Flu Season Continues; Severity Indicators Rise - CDC	single best way 0.440492 CDC 0.429049 Developing Flu–Related Complications 0.45983 pregnant women 0.649261 pneumonia-related deaths 0.38973 children 0.413062 high flu activity 0.681877 widespread flu activity 0.675473 2012-2013 flu season 0.65119 Influenza Hospitalization Surveillance 0.566517 chronic medical conditions 0.439665 flu hospitalizations 0.786932 flu spreads 0.555261 overall hospitalization rate 0.715326 seasonal flu 0.772448 recent past seasons 0.451129 hospitalization data 0.552813 Hospitalization rates 0.570116 H1N1 viruses 0.573621 younger age groups 0.488541 medical conditions 0.563735 H1N1 pandemic 0.410927 high risk 0.847399 latest FluView report 0.499596	past seasons 0.478637 Influenza antiviral drugs 0.509132 adult hospitalizations 0.47908 United States 0.622499 Laboratory-confirmed influenza hospitalization 0.555489 flu vaccine 0.512288 flu complications 0.833256 rapid antiviral treatment 0.481464 percent 0.457169 predominant circulating flu 0.694359 high risk factors 0.445078 younger people 0.516679 potential severe consequences 0.437752 antiviral drugs 0.521552 similar age distribution 0.503246 people 0.969846 flu 0.965777 certain medical conditions 0.442308 antiviral treatment 0.504239 somewhat unusual pattern 0.479064 lab-confirmed flu-related hospitalization 0.585586 pediatric deaths 0.501846 influenza deaths 0.414013 flu-related hospitalization 0.619658	CLICK HERE
10594	Centers for Disease Control and Prevention	Html	en	Bipolar Disorder - Mental Illness - Mental Health Basics - Mental Health	null	treatment 0.43646 tendency 0.454477 high potential 0.605488 sleeplessness 0.476836 psychotherapy 0.444267 manic-depressive disorder 0.632149 navigation Skip 0.800489 bipolar disorder 0.756761 self-importance 0.477083 Andreasen 0.46673 http://www.nimh.nih.gov/health/index.shtml 0.436344 medications 0.444498 mental health/mental illnesses 0.776911	grandiosity 0.43783 episodes 0.49096 thoughts 0.437677 major mood disorder 0.805766 list Skip 0.797831 adverse consequences.2 0.619004 page options Skip 0.991249 speech 0.437586 activities 0.437343 exaggerated assessment 0.635856 Mania 0.448349 irritable mood 0.660427 depression 0.488115	CLICK HERE
10727	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Lessons Learned in Community Research Through The Native Proverbs 31 Health Project - CDC	American Indian women have high rates of cardiovascular disease largely because of their high prevalence of hypertension, diabetes, and obesity. This population has high rates of cardiovascular disease-related behaviors, including physical inactivity, harmful tobacco use, and a diet that promotes heart disease. Culturally appropriate interventions are needed to establish health behavior change to reduce cardiovascular disease risk.	North Carolina 0.751993 health education 0.631093 American Indian population 0.571207 high rates 0.573735 delayed intervention sites 0.542429 American Interfaith Ministries 0.557472 Background American Indian 0.538957 intervention sites 0.596671 program 0.597398 disease-related health behaviors 0.5334 Wake Forest 0.588187 research team 0.54707 Minority Health 0.534913 primary intervention sites 0.585258 study team 0.704336 cardiovascular disease-related health 0.604518 lay health educators 0.740354 Health Disparities 0.541312 cardiovascular disease risk 0.767651 body mass index 0.597267 disease risk factors 0.655023 American Indian women 0.939381 health educators 0.755941 Lumbee Indian churches 0.562869 American Indians 0.667224	community health 0.539746 American Indian communities 0.533547 Lumbee Indian tribe 0.546494 church-based cardiovascular disease 0.536499 intervention 0.698859 Native American Interfaith 0.556959 Forest Health Sciences 0.587109 Wake Forest School 0.580558 key church leaders 0.557803 Lumbee culture 0.551399 cardiovascular disease burden 0.53775 cardiovascular disease intervention 0.60746 heart disease 0.564043 focus groups 0.565284 primary intervention churches 0.638136 American Public Health 0.544975 cardiovascular disease 0.905701 Health Sciences Institutional 0.580463 health promotion programs 0.550752 Wake Forest Health 0.583003 disease-related health education 0.536573 community partners 0.588479 health 0.766931 health education program 0.556331	CLICK HERE
12357	Centers for Disease Control and Prevention	Image	null	Middle East Respiratory Syndrome (MERS) (600W x 763H)	null			CLICK HERE
13546	Centers for Disease Control and Prevention	Html	en	Vaccination Coverage Among Children in Kindergarten - UnitedStates, 2014-15 School Year	Ranee Seither, MPH1; Kayla Calhoun, MS2; Cynthia L. Knighton1; Jenelle Mellerson, MPH2; Seth Meador3; Ashley Tippins, MPH2; Stacie M. Greby, DVM1; Vance Dietz, MD1.	nonmedical exemptions 0.541063 exemption status 0.447982 Appropriate school vaccination 0.553262 medical exemption 0.437573 vaccination coverage 0.916774 vaccination exemption data 0.578756 2-dose MMR coverage 0.444871 medical exemptions 0.466805 children 0.43404 School vaccination regulations 0.490681 actual vaccination coverage 0.489722 vaccination status 0.503468 vaccination coverage levels 0.504725 accurate vaccination coverage 0.497208 private schools 0.443039 statewide vaccination coverage 0.522094 low vaccination rates 0.471925 school vaccination requirements 0.688445 lower vaccination coverage 0.492409 vaccination coverage data 0.605841 median vaccination coverage 0.540041 high vaccination rate 0.470597 school vaccination coverage 0.623772 local vaccination requirements 0.494749	Median vaccination coverage* 0.514432 childcare vaccination requirements 0.481723 high vaccination coverage 0.587508 exemption data online 0.447143 lower vaccination rates 0.468115 vaccination requirements 0.779441 school vaccination data 0.552356 vaccine-specific vaccination coverage 0.494617 local school vaccination 0.529398 low vaccination coverage 0.524508 states 0.467642 immunization programs 0.571932 national vaccination coverage 0.525649 varicella vaccination coverage 0.51389 vaccination series 0.454363 school vaccination assessment 0.499135 high exemption levels 0.486634 state vaccination laws 0.485046 vaccination history 0.443637 state vaccination requirements 0.551432 information system vaccination 0.449089 similar vaccination coverage 0.491636 exemption data 0.600613 vaccine-preventable diseases 0.451761	CLICK HERE
15954	Centers for Disease Control and Prevention	Html	en	Absenteeism and Employer Costs Associated With Chronic Diseases and Health Risk Factors in the US Workforce	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.	Medical Expenditure Panel 0.900778 large employer 0.532113 data 0.56848 union membership 0.522068 total missed workdays 0.533486 significantly greater absenteeism 0.514681 MarketScan 0.748095 number 0.530806 MEPS prevalence 0.512489 annual absenteeism costs 0.557829 health care claims 0.581944 Annual Total Absenteeism 0.512138 Expenditure Panel Survey 0.757657 data sources 0.545966 risk factors 0.901619 MarketScan respondents 0.527538 absenteeism 0.724572 MarketScan estimates 0.524365 condition-specific absenteeism costs 0.539396 chronic disease 0.682784 absenteeism costs 0.707791 employees 0.525088 MarketScan commercial claims 0.53066 MEPS 0.661331	MEPS data 0.548195 MEPS sample 0.530801 MEPS regression estimates 0.523698 excess absenteeism 0.538277 physical inactivity estimates 0.513834 MarketScan commercial encounters 0.514016 health risk factors 0.657225 excess missed workdays 0.797268 small employer 0.518405 commercial health care 0.581949 multiple risk factors 0.531666 data sets 0.544514 privately insured individuals 0.609303 absenteeism estimates 0.540526 de-identified convenience subpopulation 0.592944 chronic diseases 0.856865 Health MarketScan database 0.542728 zero-inflated Poisson regression 0.531941 care claims database 0.531622 employee absenteeism 0.530339 MarketScan sample 0.51385 MarketScan Health Risk 0.571341 MarketScan absenteeism estimate 0.592251 MEPS prevalence rates 0.510535	CLICK HERE