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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
717	Centers for Disease Control and Prevention	Html	en	HIV Testing and Risk Behaviors Among Gay, Bisexual, andOther Men Who Have Sex with Men - United States	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.	discordant anal sex 0.771194 sexually active msm 0.385378 receive HIV care 0.221897 MSM attempt 0.203463 HIV-infected MSM 0.202805 HIV-negative MSM 0.511633 HIV-positive unaware MSM 0.297731 HIV-positive MSM receive 0.331604 National HIV Surveillance 0.200991 High HIV prevalence 0.205459 unprotected anal sex 0.714846 new HIV diagnoses 0.202276 percentage 0.227595 HIV status 0.5939 unknown status MSM 0.324738 anal sex 0.997812 HIV risk behaviors 0.240417 HIV-positive MSM 0.508695	HIV transmission 0.202121 unknown HIV status 0.39984 positive HIV test 0.336968 HIV Behavioral Surveillance 0.360845 HIV test result 0.492355 MSM 0.876952 HIV test 0.571599 National HIV Behavioral 0.363135 MSM cycle 0.221725 MSM receive HIV 0.391032 HIV 0.913306 HIV testing 0.391567 human immunodeficiency virus 0.235257 HIV testing history 0.262346 HIV infection 0.245537 unaware MSM 0.313725 self-reported HIV-positive MSM 0.349457	CLICK HERE
6086	Centers for Disease Control and Prevention	Html	en	Osmium tetroxide - 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
6221	Centers for Disease Control and Prevention	Html	en	MMWR News Summary: August 25, 2011	MMWR News Summary: August 4, 2011	new CDC report 0.791146 local restrictions 0.777774 youth access blocks 0.724885 data 0.452681 nation’s girls 0.60363 3-dose HPV vaccine 0.896307 Parents 0.461706 youth tobacco 0.691937 underage tobacco sales 0.836546 number 0.448923 Disease Control 0.576255 community efforts 0.56677 local governments 0.575639 sharp contrast 0.570611 immunization partners 0.806018 HPV disease 0.70111 strong community mobilization 0.708128 minority teens 0.574967 U.S. girls 0.583635 national teen vaccination 0.767066 CDC Division 0.980899 tobacco products 0.829054 tobacco consumption 0.690399 HUMAN SERVICES 0.565856 preemptive legislation 0.579771	strong recommendations 0.575243 healthcare providers 0.765537 State legislation 0.573843 HPV vaccination 0.731533 youth access 0.891765 tobacco advertising 0.932184 Electronic Media 0.917788 states 0.468373 higher standard 0.567367 U.S. DEPARTMENT 0.564541 News 0.488896 Evidence 0.451971 National Immunization Survey-Teen 0.769881 summary 0.452173 meningococcal meningitis—continue 0.59155 Coverage rates 0.580668 daughter’s vaccination 0.620362 local smoking 0.573386 secondhand smoke exposure 0.712806 comprehensive restrictions 0.626735 health protection. 0.570845 cervical cancer. 0.586559 HPV series 0.697188 past decade 0.570067	CLICK HERE
6638	Centers for Disease Control and Prevention	Html	null	Chemical Class - Inorganic substances	Inorganic substances are a group of chemicals that contain no carbon. Examples include ammonia, hydrogen sulfide, all metals, and most elements (such as calcium).			CLICK HERE
6673	Centers for Disease Control and Prevention	Html	en	Chronic Diseases in Male Veterans With Multiple Sclerosis	Chronic disease risk may be high in people with multiple sclerosis (MS). Our objective was to identify chronic health conditions that may disproportionately affect male veterans with MS.	data 0.526924 non-MS groups 0.477542 general population literature 0.498267 chronic health conditions 0.483744 Risk Factor Surveillance 0.480244 general population 0.779742 Health Services Research 0.474594 hypercholesterolemia 0.590117 Veterans Health Administration 0.502477 general population comparison 0.488035 Chronic disease risk 0.494034 stroke regression model 0.474647 Hines VA Hospital 0.504699 health care 0.517862 MS group 0.480615 chronic diseases 0.582505 MS duration 0.482923 MS 0.85038 general medical literature 0.510354 comparison groups 0.557608 general veteran population 0.821813 white male veterans 0.50684 American male veterans 0.506874	chronic disease epidemiology 0.484501 Veterans Benefits Department 0.491013 MS diagnosis 0.555119 people 0.512425 stroke 0.499424 disease prevalence data 0.497123 comorbid diabetes 0.474518 widowed male veterans 0.535985 VA health care 0.481255 MS vs men 0.532212 male veterans 0.966373 MS cohort 0.52183 chronic disease priorities 0.508464 MS diagnosis date 0.503253 chronic drinkers 0.491372 chronic disease 0.765541 male general population 0.507935 coronary heart disease 0.60145 chronic disease prevalence 0.682353 Behavioral Risk Factor 0.481512 hypertension 0.557924 diabetes 0.548004 MS population 0.488849	CLICK HERE
7112	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0138	The objective of this study was to determine whether veterans in different racial/ethnic groups differ in their health-related quality of life from each other and from their civilian counterparts.	Moriarty DG 0.393519 mental health 0.614691 nonveteran civilian counterparts 0.367502 Risk Factor Surveillance 0.86356 non-hispanic white veterans 0.601792 Disease Control 0.431674 Rev Public Health 0.384427 Mokdad AH 0.37189 veterans status 0.357995 educational level 0.359242 physical health status 0.353552 racial/ethnic groups 0.968589 Indian/Alaska Native veterans 0.527752 military service 0.88267 civilian counterparts 0.889956 nonmetropolitan Veterans Health 0.404621 health status 0.402269 physical health 0.387947 sociodemographic characteristics 0.385519 HRQOL 0.418173 CrossRef 0.368156 Behavioral Risk Factor 0.866414 veterans 0.646385 Annu Rev Public 0.346863	Hispanic veterans 0.402312 life 0.414737 U.S. military personnel 0.365502 Veterans Affairs outpatients 0.357634 non-Hispanic blacks 0.387239 marital status 0.358873 American Indians/Alaska Natives 0.455582 Indian/Alaska Native civilians 0.37581 non-Hispanic white civilians 0.372339 active duty 0.421823 recent activity 0.543015 annual household income 0.388105 Zack MM 0.352857 self-rated health 0.377966 different racial/ethnic groups 0.863261 means distinguished veterans 0.386412 non-Hispanic white women 0.34954 health-related quality 0.946736 et al 0.490352 Veterans Health Study 0.470695 Veterans Affairs 0.359295 American Indian/Alaska Native 0.623783 employment status 0.360899 recent health-related quality 0.373666	CLICK HERE
9517	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Implementing a Farmers™ Market Incentive Program: Perspectives on the New York City Health Bucks Program - CDC	One strategy for lowering the prevalence of obesity is to increase access to and affordability of fruits and vegetables through farmers’ markets. However, little has been documented in the literature on the implementation of such efforts. To address this gap, the Division of Nutrition, Physical Activity, and Obesity (DNPAO) sponsored an evaluation of the New York City Health Bucks program, a farmers’ market coupon incentive program intended to increase access to fresh fruits and vegetables in underserved neighborhoods while supporting local farmers.	farmer/vendors 0.491685 Health Bucks–participating market 0.501211 B. The farmers 0.473688 Health Bucks participation 0.5156 vegetable consumption 0.469869 Health Bucks implementation 0.520603 Supplemental Nutrition Program 0.485285 Health Bucks markets 0.533437 New York City 0.475112 health outcomes 0.471022 EBT incentive redemption 0.478192 coupons 0.479696 frequent farmers 0.472894 market coupon incentive 0.49484 pioneering farmers 0.48287 Special Supplemental Nutrition 0.469375 specific farmers 0.483044 market staff members 0.471824 Bucks program implementation 0.54652 market season 0.533814 day-to-day Health Bucks 0.512745 market 0.663622 markets 0.554315 fresh fruits 0.510115 market managers 0.555452	Public Health 0.482784 maximum farmers 0.475337 Health Bucks program 0.736274 farmers 0.693866 market incentive programs 0.575729 DPHO areas 0.51456 EBT 0.490055 positive program model 0.48696 City Health Bucks 0.527673 redemption rates 0.543371 key informant interviews 0.486912 Health Bucks evaluation 0.52555 additional Health Bucks 0.509198 local farmers 0.492757 active farmers 0.482547 program administrators 0.494086 market coupon program 0.487025 market incentive coupon 0.494235 Health Bucks 0.967637 Health Bucks reimbursement 0.507776 market manager 0.474663 EBT incentives 0.469927 Bucks program coordinator 0.502231 market incentive program 0.50052	CLICK HERE
11476	Centers for Disease Control and Prevention	Html	en	NCIRD | DBD Bulletin Winter 2012 | Quarter 4 News	Division of Bacterial Diseases Bulletin Winter	pneumococcal conjugate vaccines 0.591058 CDC 0.605867 13-valent pneumococcal conjugate 0.583692 European Antibiotic Awareness 0.731489 good antibiotic stewardship 0.742702 antibiotic use campaigns 0.702924 pregnant women 0.596649 antibiotic effectiveness 0.694937 Dr. Rasmata 0.587972 antibiotic resources 0.689874 pneumococcal conjugate vaccine 0.671841 National Health Organizations 0.600886 World Health Organization 0.604517 diphtheria toxoid-acellular pertussis 0.616187 Smart About Antibiotics 0.634237 vaccine effectiveness 0.621646 Leonard Mayer 0.590916 global partners 0.589666 DBD subject matter 0.609902 antibiotic awareness 0.761405 Infectious Diseases 0.607294 CDC Legionella Lab 0.601535 vaccine effectiveness studies 0.608388 seasonal immunization campaign 0.58583 Health Group Poll 0.61291	public health implications 0.591669 Pew Health Group 0.679334 antibiotic resistance 0.905963 DTaP vaccine effectiveness 0.606273 DBD highlights 0.593427 meningococcal conjugate vaccination 0.590124 Rana Hajjeh 0.614299 CDC Connects article 0.600593 Annual World Pneumonia 0.594283 global health emergency 0.606665 antibiotic stewardship 0.764466 antibiotic prescribing practices 0.704884 new 5-week television 0.586138 post vaccine evaluations 0.603149 meningococcal A disease 0.589463 Burkina Faso 0.649743 Antibiotics Work campaign 0.634476 antimicrobial resistance threats 0.584066 Health Association Annual 0.598248 life-saving vaccine introduction—lessons 0.600116 laboratory medicine 0.597887 Canada Antibiotic Awareness 0.733913 life-saving vaccine 0.607686 universal vaccine introduction 0.601031	CLICK HERE
12143	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence, Knowledge, andPractices of Hookah Smoking Among University Students, Florida,2012 - CDC	Although hookah smoking is becoming a source of tobacco use among college students in the United States, little is known of the students’ knowledge, attitudes, and practices regarding hookah use. This cross-sectional study was aimed at determining the prevalence of hookah use and describing social and behavioral factors associated with hookah smoking among university students in a large urban university in Florida.	hookah smoking initiation 0.693499 current hookah 0.738476 new hookah 0.668842 cigar smoking 0.467717 United States 0.496726 Tobacco control activities 0.467412 large urban university 0.496409 smoking tobacco 0.487343 1-hour hookah smoking 0.730481 students 0.538753 current hookah smokers 0.65572 hookah ownership 0.721239 cigarette smoking 0.737357 hookah users 0.717005 prevalence 0.507388 hookah bar 0.668902 college students 0.521996 future studies 0.485144 hookah device ownership 0.633878 fewer smoking hookah 0.705132 new hookah establishments 0.630592 logistic regression modeling 0.501987 hookah smoking 0.976922	Current hookah usage 0.654245 current cigarette smoking 0.520403 university settings 0.481387 hookah lounges 0.620643 Hookah tobacco smoking 0.739751 private hookah 0.672918 health behavior change 0.466955 hookah usage 0.661879 high school students 0.50026 hookah products 0.625371 smoking methods 0.466482 hookah smoking cafés 0.684834 personal hookah 0.645709 concurrent cigarette smoking 0.500272 new hookah cafes 0.666487 Current hookah users 0.655169 current hookah smoking 0.729242 hookah safety 0.638973 alternative smoking mechanisms 0.481049 water pipe 0.479412 hookah bars 0.637613 hookah lounge 0.618421 hookah harmfulness 0.639981	CLICK HERE
13767	Centers for Disease Control and Prevention	Html	en	Announcement: National Teen Driver Safety Week - October18-24, 2015	During 2004–2013, the number of teens aged 13–19 years who died in motor vehicle crashes declined by 55% from 5,645 to 2,524 (1). During the same period, the rate of passenger vehicle drivers aged 16–19 years involved in fatal crashes decreased 56%, from 34.7 to 15.	endorsement 0.365558 adult supervision 0.446614 Human Services 0.552146 greater participation 0.449121 MMWR HTML versions 0.562488 U.S. Department 0.548186 nighttime 0.330621 number 0.327715 electronic PDF version 0.550693 youngest drivers 0.462834 mandatory holding period 0.574988 Additional information 0.558562 Contact GPO 0.469139 crash risk 0.457871 commercial sources 0.44535 young passengers 0.447724 safe teen driving 0.581488 current prices 0.439808 persons 0.327255 permits 0.347687 original paper copy 0.544495 teen crash fatalities 0.611086 encouraging trends 0.447998 original MMWR paper 0.557186	U.S. Government Printing 0.550282 learning-to-drive process 0.454249 teens 0.385987 longer practice periods 0.582069 MMWR readers 0.450689 driver licensing 0.450551 character translation 0.437898 National Teen Driver 0.580401 high risk conditions 0.584488 format errors 0.438559 declines 0.334143 fatal crashes 0.679142 Health 0.341649 passenger vehicle drivers 0.613858 typeset documents 0.445355 trade names 0.445454 provisional license holders 0.792363 official text 0.436141 minimum age 0.56307 non-CDC sites 0.44349 comprehensive GDL systems 0.881165 learners 0.35103 motor vehicle crashes 0.93962 electronic conversions 0.435215	CLICK HERE