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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5690	Centers for Disease Control and Prevention	Html	en	Past Flu Seasons: 2010-2011	Facts about the 2010-2011 Influenza Season - CDC	influenza 0.911724 human influenza 0.446664 flu outbreaks 0.360829 2011-12 Influenza Vaccine 0.684313 United States 0.618008 influenza antiviral drugs 0.492467 novel influenza 0.468776 H1N1 influenza viruses 0.59729 flu activity 0.383901 influenza vaccine viruses 0.67842 annual vaccine effectiveness 0.351504 flu vaccine effectiveness 0.42999 seasonal flu vaccines 0.361784 commonly reported viruses 0.451647 match flu viruses 0.533015 influenza B viruses 0.678144 2010-2011 influenza season 0.621831 2010-2011 influenza vaccine 0.555289 CDC Influenza Division 0.524035 flu vaccine virus 0.426746 Lower vaccine effectiveness 0.352179 Flu seasons 0.388578 recent laboratory evidence 0.361813 MMWR article Update 0.390694	influenza vaccine 0.692559 overall influenza activity 0.546941 regional* influenza activity 0.525078 influenza season 0.638436 antiviral resistance 0.370267 influenza activity 0.658988 influenza surveillance systems 0.509717 CDC’s influenza 0.465773 sub-typed* influenza 0.464852 2010-2011 flu season 0.404624 seasonal flu vaccine 0.719268 H3N2 viruses 0.379537 flu viruses 0.544768 Widespread flu activity 0.380728 vaccine effectiveness 0.432667 2010-2011 season 0.392584 influenza viruses 0.743716 flu season 0.444347 highest vaccine effectiveness 0.354549 peak influenza activity 0.542806 recent laboratory-confirmed flu 0.431816 influenza a viruses 0.641659 laboratory-confirmed influenza hospitalizations 0.493366	CLICK HERE
8181	Centers for Disease Control and Prevention	Html	en	Muscular Dystrophy - Links to other Websites	null	muscular dystrophy patients 0.758316 Muscular Dystrophy Society 0.758695 congenital muscular dystrophy 0.751789 muscular dystrophy 0.975913 national advocacy organization 0.584036 National Society 0.542641 Project Muscular Dystrophy 0.835254 practice guidelines 0.536903 professional association 0.539258 clinical trials 0.541511 Biotechnology Information 0.536524 health care providers 0.574383 TREAT-NMD Neuromuscular Network 0.591148 medical genetics information 0.570576 support services 0.545588 National Institutes 0.541397 National Center 0.542352 European Union network 0.57337 Duchenne Connect 0.563405 genetic counselors 0.60843 human trials 0.540976 early identification 0.537365 Muscular Dystrophy Association 0.853609 Transitions Center 0.544812 young adults 0.542774	promising new therapies 0.575058 professional organization 0.53993 Duchenne/Becker muscular dystrophy 0.768943 parents 0.51804 searchable directory 0.537923 Projects Muscular Dystrophy 0.746508 neuromuscular disease 0.546954 neuromuscular field 0.549599 researcher activists 0.540009 facioscapulohumeral muscular dystrophy 0.803254 national nonprofit health 0.591701 Duchenne muscular dystrophy 0.844183 financial bridge 0.541214 U.S. National Library 0.574244 health care 0.577896 Parent Project Muscular 0.665898 muscle weakness 0.538848 career resources 0.542836 promising research 0.547542 Myotonic Dystrophy Foundation 0.681858 broadens treatment options 0.58281 PPMD funds research 0.579787 online tool 0.537362 Physical Developmental Delays 0.588168	CLICK HERE
9102	Centers for Disease Control and Prevention	Html	en	CDC Director's Briefing Videos	Weekly Video Briefing from the CDC Director	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
9754	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Association Between Leisure-Time Physical Activity and Self-Reported Hypertension Among Brazilian Adults, 2008 - CDC	Physical inactivity is a risk factor for hypertension. The objective of this study was to examine the association between self-reported leisure-time physical activity and hypertension among Brazilian adults categorized by sex and body weight.	Crônicas por Inquérito 0.376391 physical activity behaviors 0.389562 Malta DC 0.388916 body weight 0.451108 moderate physical activity 0.394851 low physical activity 0.394586 self-reported hypertension 0.662233 education level 0.382315 multivariate logistic regression 0.425445 risk factors 0.405723 World Health Organization 0.446413 por Inquérito Telefônico 0.376388 normal weight 0.380459 sports physical activity 0.381347 physical activity domain 0.386964 household physical activity 0.386135 self-reported morbidity survey 0.376213 para Doenças Crônicas 0.37578 time physical activity 0.383893 population 0.378295 intense physical activity 0.418712 regular physical activity 0.397692 women 0.417761 study 0.381592 Rev Bras Epidemiol 0.404538	hypertension rates 0.394443 United States 0.386778 public health priorities 0.388783 association 0.37831 self-reported chronic disease 0.389329 prevalence 0.385308 work-related physical activity 0.386107 self-reported LTPA 0.38018 self-reported data 0.389514 men 0.395118 Federal District 0.410802 LTPA 0.401595 Proteção para Doenças 0.375782 overall physical activity 0.385422 public health 0.407106 self-reported chronic conditions 0.386301 chronic diseases 0.403837 Doenças Crônicas por 0.376393 physical activity 0.972991 transport physical activity 0.397113 VIGITEL 0.39044 leisure-time physical activity 0.560931 high blood pressure 0.377715 Brazilian adults 0.412943	CLICK HERE
10094	Centers for Disease Control and Prevention	Html	en	New Features added to Disability and Health Data System (DHDS) - NCBDDD CDC - Features	null	data 0.753313 demographics groups 0.410454 disability 0.445373 single year indicators 0.405444 research questions 0.399723 email dhds 0.406742 data tool 0.56977 policy initiatives 0.41116 support programs 0.400378 health data tool 0.544762 health disparities 0.645781 health topics 0.421213 View data 0.414766 single state 0.395558 customizable data tables 0.499011 health program area 0.507088 state profiles 0.501916 state health data 0.518528 ) data. 0.508048 DHDS data tool 0.506546 data tables 0.589541 opportunity 0.322363 disparity estimate 0.417175 preventive health services 0.531471 innovative disability 0.413463	Behavioral Risk Factor 0.499974 health indicator data 0.54753 recent data 0.419192 adults 0.57549 policies 0.339409 poor health 0.44731 health disparity 0.439366 New p-values 0.421511 U.S. 0.344185 health data. DHDS 0.535916 Identifies opportunities 0.40183 New features 0.408542 good health 0.449785 instant access 0.411107 health 0.933105 public health programs 0.505965 indicator names 0.522777 people 0.450889 state-based data 0.54477 disabilities 0.854023 visit https://www.cdc.gov/ncbddd/disabilityandhealth 0.397151 fiscally-responsible programs 0.404986 Identifies differences 0.399677 information 0.339936	CLICK HERE
12312	Centers for Disease Control and Prevention	Html	en	Choose a Healthy Lifestyle | CDC Features	In honor of National Birth Defects Prevention Month, make a PACT to get healthy, physically and mentally, before and during pregnancy to increase your chances of having a healthy baby.	preterm birth 0.671819 healthy diet 0.722564 prevention activities 0.64654 high birth weight 0.711015 basic health guidelines 0.707827 National Birth Defects 0.760857 Hemoglobin A1c level 0.692282 major birth defects 0.762687 healthy lifestyle 0.786506 pregnancy 0.706183 daily life 0.647872 Preconception care 0.654844 regular physical activity 0.692067 direct birth 0.662602 brisk walk 0.706106 special care 0.645756 healthy habits 0.747596 women 0.672115 short-term dietary changes 0.691572 best ways 0.655845 Reproductive Health 0.649401 Mental health 0.653133 Eat healthy foods 0.735891 Evaluate Pregnancy exposures 0.68646 good time 0.64783	Birth Defects Research 0.759805 harmful substances 0.654531 best treatment 0.645973 preconception health 0.740216 gestational diabetes 0.651273 health services 0.647719 moderate aerobic activity 0.784224 CDC funds 0.694425 folic acid 0.7189 CDC research 0.649473 Birth Defects Study 0.759329 healthy pregnancies 0.709009 healthy weight 0.718972 birth defects 0.976623 healthy baby 0.708031 lean proteins 0.648561 following steps 0.648648 physical activity 0.732236 population-based tracking 0.649408 healthcare provider 0.703133 State systems 0.645485 healthy babies 0.709425 population-based methods 0.650456 low birth weight 0.709596	CLICK HERE
12480	Centers for Disease Control and Prevention	Video	en	October 2013 ACIP Meeting -- Human Papillomavirus (HPV) Vaccines	Introduction by Dr. J Bocchini. 2012 HPV vaccine coverage data by Ms. S Stokley. 9-valent HPV vaccine by Dr. A Luxembourg. Updated ACIP statement by Dr. L Markowitz. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://streaming.cdc.gov/vod.php?id=3b69f2f4127ccf45c181d38a6a18e03b20140110113359153	ACIP Meeting 0.933869 Human Papillomavirus 0.839868	Vaccines 0.479873 YouTube 0.478533	CLICK HERE
12766	Centers for Disease Control and Prevention	Html	en	Doffing: The Trained Observers’s Role in Doffing PersonalProtective Equipment (PPE) | Ebola Hemorrhagic Fever | CDC	null	available waste container 0.498431 closed-loop communications 0.351179 doffing process 0.927245 healthcare provider 0.351786 Trained Observer 0.384588	staff members 0.309754 possible contamination risks 0.532166 Doffing Assistant 0.831908 health care providers 0.490504	CLICK HERE
13089	Centers for Disease Control and Prevention	Html	en	Symptoms of Breast Cancer	A list of possible breast cancer symptoms.	symptoms 0.653881 doctor 0.411107 warning signs 0.505378 mind 0.348483 person 0.356627	Different people 0.498097 different symptoms 0.469962 Inflammatory breast cancer 0.832352 breast cancer 0.958538 routine mammogram 0.575555	CLICK HERE
13645	Centers for Disease Control and Prevention	Html	en	Influenza Vaccination Coverage Among Pregnant Women - UnitedStates, 2014-15 Influenza Season	Helen Ding, MD1; Carla L. Black, PhD2; Sarah Ball, ScD3; Sara Donahue, DrPH3; Rebecca V. Fink, MPH3; Walter W.	influenza infection 0.488853 influenza vaccination efficacy 0.629448 survey respondents 0.355197 influenza vaccination coverage 0.830069 health care provider 0.383171 panel members 0.35865 respondent-reported provider recommendation 0.381063 Internet panel sample 0.350784 offer 0.360872 vaccination coverage 0.839892 pregnant women 0.759142 Internet panel survey 0.441498 vaccination resistance 0.44588 pregnant woman 0.362262 vaccination status 0.491645 commonly reported reason 0.373365 flu vaccination 0.451719 Similar survey methodology 0.352451 influenza vaccine efficacy 0.507685 provider offer 0.36026 National Center 0.351378 end-of-season influenza vaccination 0.589579 reported coverage 0.378724 pregnancy 0.348973 unvaccinated women 0.361568	lower vaccination coverage 0.483521 influenza vaccination period 0.583021 white women 0.375143 higher vaccination coverage 0.482491 vaccination services 0.447596 previous influenza seasons 0.433868 influenza vaccination onsite 0.562238 health care 0.389785 female panel members 0.349226 influenza season 0.545828 influenza risk 0.424803 provider recommendation 0.498181 overall vaccination coverage 0.484068 incentives.* Pregnant women 0.407967 influenza vaccination 0.98728 influenza seasons 0.44003 online survey opportunities 0.352469 Survey Sampling International 0.350811 non-Hispanic white women 0.368918 Internet panel 0.49047 Non-Hispanic black women 0.369354 provider reminder systems 0.352776 opt-in Internet panel 0.382747 population Internet panel 0.350209	CLICK HERE