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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
743	Centers for Disease Control and Prevention	Html	en	FluVaxView: National Mid-Season Flu Vaccination Coverage, NFS, US, 2011-12	Results from the November 2011 National Flu Survey, United States for the 2011-12 influenza season - CDC	influenza vaccination recommendation 0.463288 influenza vaccination coverage 0.643527 cell telephone 0.248893 adults 0.312099 influenza vaccination-related data 0.27437 percentage points 0.247623 vaccination intent 0.240573 vaccination coverage 0.789599 influenza coverage objectives 0.295922 vaccination administration 0.242551 2011-12 influenza season 0.424932 non-Hispanic blacks 0.21662 ethnic groups 0.204533 influenza vaccination targets 0.500418 2010-11 influenza season 0.295019 NFS 0.278113 flu vaccination 0.248983 non-Hispanic whites 0.295186 Healthy People 0.21024 estimates 0.244097 influenza season 0.518347 estimated vaccination coverage 0.359447	rapid end-of-season influenza 0.355587 influenza activity 0.283386 influenza vaccines 0.275242 national mid-season estimates 0.213544 influenza immunization stakeholders 0.275402 national influenza vaccination 0.392364 non-Hispanic other race 0.233877 influenza vaccinations 0.311847 end-of-season coverage estimates 0.216279 influenza vaccination status 0.370016 influenza vaccination 0.957029 influenza varies 0.277295 influenza seasons 0.245646 Influenza Awareness Campaign 0.271758 annual influenza vaccination 0.474962 non-Hispanic white children 0.371565 non-Hispanic black children 0.300821 end-of-season influenza vaccine 0.358709 influenza season vaccination 0.399569 influenza vaccine coverage 0.381791 National Flu Survey 0.357862	CLICK HERE
1044	Centers for Disease Control and Prevention	Html	en	Counterfeit Drugs | CDC Features	Counterfeit medications are common in some countries. These drugs may not be effective or may be harmful. When traveling overseas, bring all medications with you.	United States 0.562903 rules 0.242424 trip 0.275662 KB 0.254626 real brand-name 0.418001 Central Africa 0.428979 counterfeit antimalarial medications 0.930684 Counterfeit drugs 0.746179 World Health Organization 0.599056 drugs 0.775793 West 0.244819 Japan 0.240855 countries 0.45253	Counterfeit medicines 0.774417 chemical analysis 0.404235 way 0.276147 New Zealand 0.40856 generic drugs 0.527004 Counterfeit medications 0.780344 harmful ingredients 0.438357 chances 0.247951 European Union 0.407925 Travelers 0.24764 real thing 0.553114 Australia 0.240886	CLICK HERE
4934	Centers for Disease Control and Prevention	Html	en	Adult Seat Belt Use in the US - CDC Vital Signs	CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics.	car seat 0.491797 injuries 0.440857 good example 0.425651 Post information 0.425889 booster seat 0.492455 effective way 0.457123 air bag 0.424678 trip 0.423104 rural areas 0.42702 crash-related injury rates 0.450586 suburban areas 0.426412 Young adults 0.428806 added protection 0.426878 Support seat belt 0.558783 seat belt laws 0.844955 adult Americans 0.4516 Wear seat belts 0.516671 Air bags 0.426484 primary law 0.448431 safest spot 0.425709 primary enforcement seat 0.700644 Motor vehicle crashes 0.510686 secondary enforcement law 0.450604 company vehicles 0.447689 personal vehicles 0.424406	seat belts 0.6106 state troopers 0.426023 death 0.418965 primary seat belt 0.60131 adults 0.457005 company business 0.424393 car crashes 0.431511 adult drivers 0.426895 states 0.43331 active enforcement programs 0.446151 awareness campaigns 0.425205 big difference 0.428864 adult population 0.444251 police officer 0.448751 social norm 0.42585 emergency departments 0.427811 medical care 0.424748 people 0.419334 Adult seat belt 0.590542 visible police presence 0.444959 seat belt 0.97081 break rooms 0.425317 enforcement seat belt 0.738779 seat belt law 0.609922	CLICK HERE
5019	Centers for Disease Control and Prevention	Html	null	What's new in global health.	null			CLICK HERE
6829	Centers for Disease Control and Prevention	Html	en	Breast Cancer Prevention	You can help lower your risk of breast cancer in several ways.	oral contraceptives 0.669448 X-rays 0.537708 PET scans 0.660538 lifetime 0.536218 lower your risk 0.703636 Research 0.528338 body 0.527281 following ways— 0.679117 Exercise 0.531535 children 0.527801 alcoholic drinks 0.68114 course 0.531604 carcinogens 0.544007 chemicals 0.548041 normal function 0.661925 medical imaging tests 0.788378 Limit exposure 0.68163	breast cancer risk 0.876745 genes 0.52828 breast cancer 0.978568 healthy weight 0.683751 birth control pills 0.792846 risk factor 0.66764 nighttime sleep 0.67983 factors 0.573977 lack 0.534007 doctor 0.552678 risks 0.527517 chances 0.535281 radiation 0.526917 family history 0.815484 high risk 0.646822 hormone replacement therapy 0.786092 CT scans 0.661322	CLICK HERE
7132	Centers for Disease Control and Prevention	Html	en	Global Health - Wallis & Futuna	null	Content source 0.422709 HHS 0.297574 list Skip 0.74332 endorsement 0.291872 CDC 0.271556 non-federal site 0.4688	Notice 0.270187 sponsors 0.241885 page options Skip 0.947337 information 0.241652 employees 0.242118	CLICK HERE
7320	Centers for Disease Control and Prevention	Html	en	West Nile Virus - QA: Prevention	Information on West Nile virus. Provided by the U.S. Centers for Disease Control and Prevention.	vaccines 0.355596 protective clothing 0.504387 fever 0.352842 continental United States 0.696656 North America 0.536706 bites 0.423912 summer 0.348018 symptoms 0.443581 WNV cases 0.467447	fall 0.349814 West Nile virus 0.948056 infected people 0.523165 medications 0.351507 season 0.3482 WNV 0.727797 headaches 0.352059 insect repellant 0.505528	CLICK HERE
12376	Centers for Disease Control and Prevention	Image	null	A Snapshot: Blood Pressure in the U.S. (935W x 1912H)	null			CLICK HERE
13605	Centers for Disease Control and Prevention	Html	en	Living with FASDs: In Taylor's Own Words | CDC Features	FASDs are completely preventable if a woman does not drink alcohol during pregnancy.	dad 0.363171 Taylor extreme anxiety 0.632664 lead custodian 0.466245 mom talks 0.457844 Cathy Allen 0.636897 National Organization 0.481433 drank alcohol 0.669362 outward appearance 0.459008 social media tools 0.569529 things 0.390731 consequences 0.35936 behaviors Taylor 0.513174 FASD community 0.716467 high functioning end 0.592652 area airport 0.456723 inability 0.367726 pocket knife 0.460053 Taylor 0.814451 pregnancy 0.388268 mother drank alcohol 0.66776 social awkwardness 0.459731 personal struggle 0.486316 spending time 0.458119 free materials 0.449749	grade 0.386808 Vice President 0.592174 FASD behaviors 0.672259 teen group 0.439326 parents 0.361319 FASD journey 0.66208 poor problem 0.457716 Kennedy Krieger Institute 0.598249 alcohol dependence 0.481514 trade school 0.458556 Taylor Allen 0.540439 birth mother 0.46157 FASDs 0.358576 Fetal Alcohol Syndrome 0.647195 great deal 0.455347 DC area 0.477345 NOFAS 0.541539 Allen family 0.464418 day-to-day life 0.452042 attention-deficit/hyperactivity disorder 0.480117 FASD 0.974408 new fact sheets 0.574925 alcohol-free pregnancies 0.459472 print products 0.449164	CLICK HERE
15433	Centers for Disease Control and Prevention	Html	en	Electronic Cigarette Use Among Working Adults - UnitedStates, 2014 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	health insurance 0.602125 family-owned job 0.529445 National Health Interview 0.49929 combustible tobacco 0.789721 health insurance status 0.488716 current cigarette smokers 0.852473 Current smokeless tobacco 0.559087 public health surveillance 0.538866 dissolvable tobacco 0.563508 current cigarette smoking 0.572323 National Center 0.504289 non-cigarette combustible tobacco 0.521629 water pipes/hookahs 0.511523 current e-cigarette 0.528199 long-term health effects 0.54294 tobacco products 0.841879 food preparation 0.555541 public health practice 0.493449 food services 0.575343 food services industry 0.56985 conventional cigarette smoking 0.533668 public health policy 0.491208 adults 0.663607 conventional cigarette smokers 0.527353	smokeless tobacco users 0.673621 serving-related occupations 0.514282 Current e-cigarette users 0.52186 cigarette smoking prevalences 0.519687 local health departments 0.54285 workers 0.50461 public health 0.54722 smoking other tobacco 0.508558 conventional tobacco 0.556846 U.S. adults 0.643026 combustible tobacco smokers 0.567285 health 0.669675 annual household income 0.59258 cigarette smokers 0.959471 e-cigarettes 0.523178 smokeless tobacco products 0.65475 higher prevalences 0.525953 Chronic Disease Prevention 0.518629 smokeless tobacco 0.821537 relative standard error 0.670156 combustible tobacco users 0.612209 cigars/little cigars/cigarillos 0.511564 combustible tobacco products 0.68663 e-cigarette aerosol exposure 0.485987	CLICK HERE