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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
556	Centers for Disease Control and Prevention	Html	en	Antibiotics Aren't Always the Answer | CDC Features	Antibiotics can be life saving, but they aren't always the answer.	future antibiotic-resistant infections 0.621482 crushed ice 0.499731 emergency rooms 0.51569 international partners 0.518751 viral infections 0.632801 Disease Control 0.51905 correct treatment 0.495854 best treatment options 0.580843 prescription drugs 0.494509 sore throat spray 0.595401 Unneeded antibiotics 0.617302 young children 0.500669 hospital-based clinics 0.520412 colds 0.452991 Smart About Antibiotics 0.641306 flu illness 0.518534 flu antiviral drugs 0.59762 sore throats 0.649133 cool-mist vaporizer 0.498603 symptoms 0.437314 adverse drug reactions 0.593926 saline nasal spray 0.580913 health care settings 0.611575 antibiotics 0.812749	child 0.504378 over-the-counter products 0.510912 viral infection 0.607411 potential risks 0.500203 United States 0.516007 cause 0.436302 symptom relief 0.50507 best treatment option 0.587389 healthcare 0.519539 lozenges 0.432917 best treatment 0.696848 antibiotic resistance 0.979487 national priority 0.511531 honey 0.433707 fluids 0.442092 harmful side effects 0.605888 prescription drug 0.499247 bronchitis 0.450078 wrong medicine 0.497505 doctor’s offices 0.515775 bacterial infection 0.506359 unnecessary antibiotic prescriptions 0.798725 over-the-counter treatment options 0.585409 treatment options 0.588495	CLICK HERE
1059	Centers for Disease Control and Prevention	Html	en	Treating for Two | Medication and Pregnancy 'CDC	Learn about medications and pregnancy.	healthcare providers 0.984496 safest treatment options 0.920466 social network profiles 0.829962 common conditions 0.577281 pregnancy 0.505514 Treating 0.25382 Talk 0.267194 babies 0.202207	button 0.337921 doctor 0.26692 medications 0.697531 dietary supplements 0.557715 Key Findings 0.648703 information 0.279675 CDC’s prescription 0.635755	CLICK HERE
5030	Centers for Disease Control and Prevention	Html	en	Recs/Vac-Admin Contraindications to Vaccines Chart	Vaccine Chart of Contraindications for Childhood Vaccinations (pre-adolescent only)	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
7612	Centers for Disease Control and Prevention	Html	en	Mycoplasma pneumoniae Respiratory Illness - Two Rural Counties, West Virginia, 2011	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.	additional respiratory pathogens 0.554007 County Health Dept 0.571899 public health interventions 0.611037 symptom onset 0.572433 respiratory droplets 0.555335 Mycoplasma pneumoniae 0.627086 macrolide resistance testing 0.591824 Mycoplasma-like illness 0.581411 relatively mild spectrum 0.563171 M. pneumoniae outbreaks 0.680603 lower respiratory infections 0.557267 aggressive public health 0.569595 Gilmer County Health 0.55596 Mycoplasma respiratory illness 0.556269 possible cases 0.554072 antibiotic prophylaxis 0.594667 respiratory hygiene 0.613553 multiple transmission settings 0.562416 pneumoniae nucleic acid 0.659678 patients 0.559924 possible pneumonia cases 0.569787 West Virginia Department 0.580955 sufficient M. pneumoniae 0.675147 Gilmer County 0.596901 schools 0.591018	confirmed M. pneumoniae 0.645624 M. pneumoniae 0.979326 M. pneumoniae community 0.623109 M. pneumoniae–positive specimens 0.557435 radiologically confirmed pneumonia 0.592524 health-care providers 0.59825 macrolide antibiotics 0.579516 macrolide resistance 0.780173 outbreak control measure 0.554332 West Virginia 0.591986 M. pneumoniae outbreak 0.656682 resistant M. pneumoniae 0.625337 widespread macrolide resistance 0.583177 extrapulmonary manifestations 0.600703 macrolide prophylaxis 0.56134 laboratory-confirmed cases 0.571612 M. pneumoniae infections 0.626948 local health departments 0.576697 public health 0.62341 cases 0.640851 public health measures 0.590622 Laura C. Steinhardt 0.568368 Widespread antibiotic prophylaxis 0.554242 pneumonia cases 0.585207	CLICK HERE
7988	Centers for Disease Control and Prevention	Html	en	Noninfluenza Vaccination Coverage Among Adults - UnitedStates, 2011	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.	tetanus vaccination status 0.488115 United States 0.327133 vaccine type 0.33514 vaccination services 0.322391 adults 0.549047 Tetanus Vaccination Coverage 0.432699 whooping cough vaccine 0.319349 adult vaccination coverage 0.460152 higher Tdap coverage 0.319576 HPV vaccine 0.368245 noninfluenza adult vaccination 0.358442 percentage points 0.531649 Influenza vaccination coverage 0.39854 vaccination type 0.337499 vaccination coverage 0.932177 zoster vaccination coverage 0.405723 previous PPSV23 vaccination 0.349908 adult patient vaccination 0.34908 vaccination target criteria 0.368739 Tdap 0.493175 tetanus vaccine 0.324496 vaccination coverage levels 0.413788 hepatitis A vaccination 0.344209 hepatitis b vaccination 0.391605	percentage point increase 0.471322 Tdap vaccination status 0.394425 acellular pertussis vaccine 0.334952 herpes zoster vaccination 0.417599 Tdap coverage 0.410175 hpv vaccination 0.402768 providers incorporate vaccination 0.370691 Successful vaccination programs 0.343767 adolescent vaccination program 0.344347 respondents 0.338317 persons 0.328956 vaccine 0.49383 practice-level vaccination rates 0.344582 tetanus shot 0.333493 pneumococcal vaccination coverage 0.425161 pneumococcal vaccination status 0.352822 vaccination intentions 0.325146 high risk 0.405904 HPV Vaccination Coverage 0.386449 Tdap vaccination 0.492534 yrs 0.705169 tetanus vaccination 0.729398 active booster vaccination 0.351274	CLICK HERE
8342	Centers for Disease Control and Prevention	Html	en	TB - Basic TB Facts - TB Personal Stories	Division of Tuberculosis Elimination	country 0.338968 standard TB treatment 0.681856 cough 0.321649 bronchoscopy 0.354507 severe bronchitis 0.408243 mother 0.335524 CAT scan 0.479333 numerous misdiagnoses 0.416839 ‘This sounds 0.405322 busy schedule 0.392282 young daughters 0.414667 tuberculosis 0.321415 doctor visits 0.397932 mom’s café 0.410473 Texas Department 0.393008 Kim much credit 0.40652 frightening disease 0.396491 bright spot 0.390353 Texas TB control 0.660514 public health TB 0.654684 TB symptoms 0.59006 dental hygienist 0.411388 antibiotics 0.320979 Kenni 0.660124 lung specialist 0.405126	public health nurse 0.467846 respiratory illness 0.412376 fever 0.339775 emergency room. 0.404837 State Health Services 0.468953 correct diagnosis 0.408648 good news 0.414225 terrific person 0.396148 pneumonia 0.321577 long treatment regimen 0.476294 blood work 0.399322 respiratory infection 0.40498 big white cloud 0.481874 right treatment 0.411695 severe pain 0.394887 TB 0.967895 help 0.350088 TB medicine 0.580583 physician assistant 0.398453 multiple pills 0.397175 TB nurse 0.587756 TB control program 0.823582 chest x-ray 0.509842 ribs 0.321106	CLICK HERE
11903	Centers for Disease Control and Prevention	Html	en	CDC Nowcasting the Spread of Chikungunya in Americas	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	countries increases 0.375016 CDC 0.473691 infected travelers 0.457902 mosquito bites 0.387424 chikungunya-infected travelers 0.388301 new local transmission 0.496878 chikungunya introduction 0.587348 CDC experts 0.396794 uses data 0.385017 response activities 0.374172 sporadic local transmission 0.458074 interactive web-based model 0.462796 Disease Control 0.38377 likely introduction 0.394878 proactively implement prevention 0.433133 chikungunya virus transmission 0.733948 probability 0.42467 model estimates areas 0.480681 dengue virus 0.404651 global maps 0.380001 public health officials 0.429383 locally transmitted cases 0.426318 new website 0.381519 chikungunya infection 0.58882 healthcare providers 0.374621	CDC model 0.417669 different model scenarios 0.434373 nowcast website 0.375258 United States 0.771367 mosquito-borne chikungunya virus 0.750133 chikungunya activity 0.632494 chikungunya virus 0.784524 continental United States 0.432018 CDC biologist 0.40391 local transmission 0.865534 great degree 0.375993 monthly estimates 0.398602 CDC nowcast model 0.464388 southern United States 0.450302 airline travel patterns 0.451971 CDC-developed mathematical model 0.451291 mosquito-borne illnesses 0.376377 local chikungunya transmission 0.816425 Caribbean outbreak 0.378966 chikungunya risk 0.58896 Early recognition 0.374332 chikungunya 0.980276 South American locations 0.437455 chikungunya cases 0.755144	CLICK HERE
12133	Centers for Disease Control and Prevention	Html	en	Disease Detective: Dan - CDC Responds to the 2014 Ebola Outbreak	CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives.	reminders 0.42276 hand shake 0.522492 crowd 0.424866 survival rates 0.517863 friendships 0.427662 health official 0.520527 community cooperation 0.520869 outbreak 0.458703 single village 0.521694 African greetings 0.512913 patients 0.422848 CDC epidemiologist 0.556009 strange juxtaposition 0.535956 collegial lives 0.532343 steps 0.422651 Tonkolili District 0.54385 unreported Ebola cases 0.767603 Joy 0.423529 Ebola Treatment Unit 0.805949 job 0.447721 Ebola 0.862677 daughter 0.423747 CDC staffer 0.547734 CDC help 0.534332 Ebola survivor 0.69166	tears 0.426576 distance 0.424493 Dan’s time 0.525701 Sierra Leone 0.997971 warm homecoming 0.526228 investigate 0.423903 frequent contact 0.531479 house 0.4253 youngest son 0.524216 surreal way 0.512686 Daddy 0.42386 local health workers 0.850421 clusters 0.422921 death sentence 0.525019 stories 0.422103 touch-free lives 0.514425 team 0.446747 people 0.492524 Syndrome 0.421562 African Ebola epidemic 0.80991 Dan 0.539316 West African friends 0.607653 recent spike 0.52423 hug 0.455947	CLICK HERE
12554	Centers for Disease Control and Prevention	Video	en	CDC: Tips From Former Smokers - Brian's Stroke and Slow Recovery	Brian never imagined he could have a stroke at age 43. He was in good health. But smoking, combined with having HIV, caused a stroke when he was doing what he loved most—working at the potter's wheel. In this video from CDC's Tips From Former Smokers campaign, Brian talks about the day of his stroke and his efforts to recover. 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=3d52959500a7f0a9a1c9ccc952d5a61f20140925163911718	Brian 0.46627 Stroke 0.752543 Smokers 0.869648	CDC 0.852599 Slow Recovery 0.980929 YouTube 0.825835	CLICK HERE
13428	Centers for Disease Control and Prevention	Video	en	Diagnosis and Testing | Lyme Disease Video	HHS Federal Research Update on Lyme Disease Diagnostics Webinar 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/vod2.php?id='la7c5133d88640c4b8b04d99ba611050720121105133242217	Lyme 0.322354 Disease Diagnostics Webinar 0.990804	HHS Federal Research 0.84901 Update 0.283549	CLICK HERE