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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5632	Centers for Disease Control and Prevention	Html	en	Indene - NIOSH Pocket Guide to Chemical Hazards	null	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
5789	Centers for Disease Control and Prevention	Html	en	Ethyl alcohol - NIOSH Pocket Guide to Chemical Hazards	null	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
6279	Centers for Disease Control and Prevention	Html	en	Watching Hands: Artists Respond to Keeping Well - Media Advisory: September 21, 2011	Watching Hands: Artists Respond to Keeping Well	country 0.530284 Laura Splan 0.664254 CDC Foundation 0.708217 Smithsonian Museum 0.72479 current public health 0.819765 Keeping 0.53766 act 0.530687 Disease Control 0.676427 Health Odyssey Museum 0.814221 Monday-Friday 0.549975 boundaries 0.529461 connection 0.527228 entrance 0.527654 a.m. 0.550898 main CDC press 0.832375 Sencer CDC Museum 0.905741 p.m. 0.546117 Clifton Road NE 0.82569 new work 0.695718 John Bankston 0.685763 artists Didi Dunphy 0.927753 Hands exhibit 0.781129 handwashing 0.54588 Centers 0.527919 Displays 0.528198	government-issued photo ID 0.789677 Joe Peragine 0.7236 Communications Center 0.675976 Prevention 0.527874 museum website http://www.cdc.gov/museum/ 0.823087 public viewing 0.674341 unexpected ways 0.70225 Atlanta 0.528985 installation 0.527151 federal holidays 0.666493 media interviews 0.659647 Tom Harkin Global 0.843546 Katherine L. Ross 0.808138 Georgia-Pacific Professional 0.684603 display 0.529892 Special note 0.657631 graphic design 0.671966 Hands artists 0.748359 new media 0.673671 sculpture 0.527169 San Francisco 0.668343 Vehicle inspection 0.663233 James Victore 0.667627 information 0.576373	CLICK HERE
7176	Centers for Disease Control and Prevention	Html	en	Update to CDC's U.S. Medical Eligibility Criteria for Contraceptive Use, 2010: Revised Recommendations for the Use of Hormonal Contraception Among Women at High Risk for HIV Infection or Infected with HIV	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.	genital viral shedding 0.615165 new HIV infections 0.671206 CDC 0.527493 drug interactions 0.491161 evidence 0.560187 effective contraceptive methods 0.536197 Naomi K. Tepper 0.486824 HIV infection¶ 0.537261 progestin-only injectables 0.528395 HIV preventive measures 0.62133 Medical Eligibility Criteria 0.505978 unintended pregnancy 0.597156 ad hoc reviewers 0.495758 possible increased risk 0.491697 statistically significant association 0.493449 World Health Organization 0.503185 plasma viral load 0.530913 lower HIV incidence 0.561682 different hormonal contraceptives 0.522265 oral contraceptive users 0.518524 oral contraceptive pills 0.505038 high risk 0.665727 contraceptive methods 0.651212 frequent follow-up visits 0.491986 female-to-male HIV transmission 0.661277	limited statistical power 0.494994 women 0.614187 inconclusive nature 0.491616 new evidence 0.490286 United States 0.585946 contraceptive access 0.503724 progestin-only injectable contraception 0.498231 hiv infection 0.991037 evidence-based contraceptive guidance 0.520645 hormonal contraception 0.673471 significant increased risk 0.488303 hormonal contraceptive users 0.56292 sexually transmitted infections 0.50066 clear causal association 0.490972 studies 0.518013 HIV infectivity 0.546114 HIV acquisition 0.976603 HIV disease progression 0.656538 hormonal contraceptives 0.784792 HIV transmissions 0.566828 contraceptive method mix 0.567386 unacceptable health risk 0.521369 HIV viral load 0.556711 HIV testing 0.542308	CLICK HERE
7465	Centers for Disease Control and Prevention	Html	en	Heat Related Illness (HRI) Prevention	The National Center for Environmental Health’s Health Studies Branch (HSB) at the Centers for Disease Control and Prevention (CDC) is the response branch for the Center. HSB conducts rapid epidemiologic investigations in response to outbreaks that are believed to have environmental causes and responds to natural and technologic disasters.	financial interests 0.717509 CDC 0.833679 CDC’s CE 0.814476 suppliers 0.576547 Associate Director 0.749169 planners 0.580548 commercial supporters 0.914216 Disease Control 0.953486 awareness 0.546231 bias 0.545312 guidelines 0.546083 Health Program 0.73328 hardware 0.541864 development 0.546145 commercial services 0.908825 unlabeled product 0.785093 George Luber 0.776945 basic computer skills 0.742677 American Nurses 0.754361 heat-related illness 0.797286 coaches 0.58822 CEU 0.605904 commercial products 0.909564 presenters 0.545787 education requirements 0.723565	http://www.cdc.gov/TCEOnline 0.572047 CNE 0.55874 internet connection 0.741679 school nurses 0.794069 parents 0.588007 Expiration Date 0.771244 Centers 0.579931 commercial support 0.733693 activity 0.581179 students 0.588057 training 0.546309 target audience 0.736529 Prevention 0.579791 athletic trainers 0.77613 content experts 0.719634 teachers 0.545954 participants 0.543049 Continuing Nursing Education 0.921083 manufacturers 0.576685 implementation 0.546114 Climate Change 0.748742 material 0.543686 web-based course 0.73646 learner 0.559037	CLICK HERE
8449	Centers for Disease Control and Prevention	Html	en	Brandon's Biography - Brandon's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use	The biography of Brandon, a former smoker with Buerger's disease, who is featured in CDC's Tips from Former Smokers campaign	amputation 0.32098 feet 0.302724 wheelchair 0.294211 infection 0.306119 hands 0.304276 Quit 0.345621 Buerger’s disease 0.731042 cure 0.303442 crawl 0.311987 cigarette smoking 0.747059 gangrene 0.343358 Smokers® campaign 0.613662 consequences 0.549355 double amputee 0.679929 tobacco 0.565192 floor 0.285923 mid-teens 0.301868 bathroom 0.291691	wife 0.286445 night 0.289549 Brandon 0.942389 blood vessels 0.713604 fingertips 0.32609 people 0.356056 terrible disease 0.710297 prosthetic legs 0.733356 symptoms 0.299432 amputations 0.331442 disorder 0.301364 doctors 0.296784 ones 0.290235 Thirty-one-year-old Brandon 0.859436 risk 0.287018 infant son 0.636945 time 0.287292	CLICK HERE
8487	Centers for Disease Control and Prevention	Html	en	Nathan's Biography - Nathan's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use	The biography of Nathan, a Native American, who contracted permanent lung damage called bronchiectasis as a result of secondhand smoke at work. These illnesses ultimately led to his death. he is featured in CDC's Tips campaign.	Oglala Sioux tribe 0.546863 sinus infections 0.329774 adult children 0.304741 casino 0.232573 active person 0.308615 small lungs 0.35054 emergency room 0.323624 sniper training 0.310352 cigarette smoke 0.572685 bronchiectasis 0.212017 Young people 0.290383 major motorcycle company 0.47682 Nathan 0.98554 early death 0.29861 Marines reconnaissance division 0.486385 eye irritation 0.336003 smoking 0.234073 damaged his lungs 0.364537	short distance 0.31448 permanent lung damage 0.555975 tribal dance competitions 0.475061 secondhand smoke 0.954152 special passion 0.293763 Native American 0.344264 asthma attacks 0.568042 grandchildren 0.281411 secondhand smoke Nathan 0.929465 high school basketball 0.474427 long marriage 0.310562 lung problems 0.320195 frequent problems 0.32048 exposure 0.233655 young man 0.30268 heavy smoker 0.325367 frequent asthma attacks 0.54066	CLICK HERE
10747	Centers for Disease Control and Prevention	Html	en	Notifiable Diseases and Mortality Tables	Table I   Summary of provisional cases of selected notifiable diseases, United States, cumulative, week ending April 19, 2014 (16th Week).	different event codes 0.547292 H. influenzae 0.452474 CDC 0.414706 California serogroup 0.558189 age group 0.38785 novel influenza 0.705691 invasive pneumococcal disease 0.894085 eastern equine 0.380201 measles cases 0.489698 ** Data 0.425283 western equine diseases 0.534158 case notifications 0.390718 susceptible cases 0.445564 probable cases 0.462779 Rocky Mountain 0.373684 rickettsia infections 0.426889 ArboNET Surveillance 0.379884 Zoonotic 0.241112 rubella cases 0.458907 Spotted fever rickettsioses 0.612644 St. Louis 0.38311 E. coli 0.385462 influenza A virus 0.551392 virus infections 0.444047	National Center 0.57629 Immunization 0.2388 cases 0.712757 pneumoniae invasive disease 0.606757 Table 0.294388 Total case counts 0.563441 Spotted fever group 0.610502 serogroup non-O157 0.558098 serotypes 0.23777 Shiga 0.291798 similar clinical presentation 0.532957 Vector-Borne Infectious Diseases 0.573738 meningococcal disease 0.401515 Cumulative total E. 0.56246 condition 0.257999 Influenza Division 0.514605 Streptococcus 0.243284 unknown serogroup 0.558867 Respiratory Diseases 0.402775 Powassan 0.245859 ages 0.237802 Enteric Diseases 0.398445 Includes drug resistant 0.553488	CLICK HERE
10762	Centers for Disease Control and Prevention	Html	en	PRAMS Questionnaires - Pregnancy Risk Assessment Monitoring System - Reproductive Health	PRAMS Questionnaires	mailing packets 0.273606 CDC 0.321927 mental health 0.27139 mixed-mode methodology 0.274993 questions 0.75386 early infant development 0.327827 large Hispanic population 0.328504 PRAMS states 0.386119 standard questions 0.63243 significant input 0.274735 new format 0.277442 self-administered questionnaire 0.431019 topic area 0.273027 additional information 0.272 PRAMS questionnaire 0.5809 phase 0.714891 social support 0.274774 physical abuse 0.335217 list 0.302328 different phases 0.273878 prenatal care 0.335922 revision 0.333695 topic reference documents 0.33313 core portion 0.275683	health status 0.268908 PRAMS core questionnaire 0.500062 maternal stress 0.272913 extensive list 0.284273 interviewer-administered questionnaire 0.42562 original structure 0.365917 telephone phase 0.332685 questionnaire 0.950611 Spanish questionnaire 0.382421 additional topics 0.270907 states 0.515189 original PRAMS 0.354955 core questions 0.286905 testing standard questions 0.346208 potential topics 0.281232 two-column layout 0.283116 PRAMS survey 0.326436 economic status 0.272401 injury prevention 0.274663 topics 0.32931 new questions 0.414858 single column 0.280474 obstetric history 0.276466 comprehensive list 0.274264	CLICK HERE
16070	Centers for Disease Control and Prevention	Html	en	Vital Signs: Dental Sealant Use and Untreated Tooth DecayAmong U.S. School-Aged Children | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	untreated dental disease 0.304314 decay prevalences 0.299489 dental sealants 0.437295 Task Force 0.309519 poor oral health 0.305832 mean DFFM 0.297767 high school education 0.288981 dental care performance 0.273031 higher-income children 0.438263 children 0.808928 low-income children 0.683995 U.S. children 0.275536 Averted tooth decay 0.375881 school-based dental sealant 0.455744 permanent tooth 0.285663 untreated decay status 0.348748 oral health 0.398062 untreated decay 0.52461 regular dental care 0.317774 oral health programs 0.296552 low-income families 0.285654 untreated decay prevalence 0.41317 high risk 0.324683 free/reduced-price meal program 0.304796	non-Hispanic white children 0.296823 sealant use prevalence 0.538399 federal poverty level 0.306229 molar developing decay 0.316219 dental care 0.357535 SBSP 0.292628 sealants 0.601927 percentage points 0.326473 especially children 0.283672 sealant effectiveness 0.305049 sealant application 0.297523 dental sealant programs 0.450649 public health 0.316563 NHANES data 0.288175 tooth decay 0.908832 family income 0.300764 lack sealants 0.303346 state oral health 0.293358 dental sealant 0.47067 school-based sealant programs 0.425261 sealant prevalence 0.344732 et al 0.28099 untreated tooth decay 0.634435 non-Hispanic black children 0.296717	CLICK HERE