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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
639	Centers for Disease Control and Prevention	Html	en	Smoke-Free Policies Receive Public Support - Smoking & Tobacco Use	Secondhand Smoke Fact Sheets.	Tobacco Smoke 0.50693 national comprehensive smokefree 0.795356 smokefree laws 0.644668 Statewide Smoke-Free Law 0.5499 attitudes 0.479211 York State Department 0.577814 Human Services 0.505994 U.S. Department 0.501059 Smoke-Free Laws 0.483382 Scotland/UK Longitudinal Surveys.European 0.492118 Health Promotion 0.496401 u.s. adults 0.508615 ITC Ireland/UK Survey 0.493096 statewide smokefree law 0.771906 local smokefree law 0.66557 Smokefree Legislation 0.574201 secondhand smoke 0.47002 strong public support 0.523564 smokefree bars/pubs 0.591888 Smoke-Free Bar Law 0.548278 Smoke-Free Bars 0.500496 New York State 0.76349 BMC Public Health 0.515007 Young Adults Change 0.495535 smokefree workplaces 0.682034	New Zealand 0.504635 tobacco products 0.47807 State Adult Tobacco 0.521567 young adults 0.503338 brief exposure 0.465552 indoor areas 0.802546 smokefree restaurants 0.625506 effect 0.470171 comprehensive smokefree law 0.90731 Tobacco Research 0.465626 Public Health 0.560844 Indoor Air Act 0.500534 Health Consequences 0.467117 Comprehensive Smoke-Free Workplace 0.522851 smokefree law 0.946722 Smoke-Free Workplaces 0.526967 smoking 0.505512 Adult Tobacco Survey 0.711555 Public Health Reports 0.513062 Chronic Disease Prevention 0.494335 Fong GT 0.490726 National Adult Tobacco 0.609149 involuntary exposure 0.519434 Tobacco Smoke Pollution 0.504669	CLICK HERE
6925	Centers for Disease Control and Prevention	Html	en	CDC - Link to Us	Linking to CDC.gov - CDC	CDC Web site 0.739275 CDC 0.757305 endorsement 0.41834 www.cdc.gov 0.443054 data 0.415666 official U.S. government 0.573389 foreign countries 0.481889 bioterrorism 0.418153 Web visitors 0.506763 Human Services 0.483118 daily lives 0.484253 health surveillance 0.493384 credible health information 0.682087 safety topics 0.494066 peer agencies 0.481626 important health 0.510032 U.S. Department 0.483224 Disease Control 0.634813 true improvements 0.484622 sentence 0.416318 text link 0.557486 web site 0.955556 public health activities 0.57846 scientific articles 0.495171 CDC.gov home page 0.570262	specific permission 0.50204 direct access 0.49537 official Web site 0.816011 Media web site 0.594415 Centers 0.442912 people’s health 0.497122 disease prevention strategies 0.560542 social network profiles 0.562707 disease outbreaks 0.490997 graphic link 0.505792 CDC events 0.643614 CDC.gov Web site 0.623305 promotional materials 0.483086 national health statistics 0.562675 international disease transmission 0.553856 online source 0.552201 buttons 0.447284 cost 0.41666 CDC.gov A-Z Index 0.600243 appropriate context 0.486499 easy link 0.506042 health emergencies—something 0.497153 Web sites 0.505313 Badges Gallery 0.499085	CLICK HERE
7877	Centers for Disease Control and Prevention	Html	en	Social Media Tools for Consumers and Partners - Buttons and Badges Gallery	Buttons and Badges Gallery	list Skip 0.816715 code 0.340536 blogs 0.347983 page options Skip 0.933767 social network profiles 0.718693 recent campaigns 0.552536 navigation Skip 0.825447	badges 0.560689 number 0.342811 CDC events 0.564797 additional buttons 0.635887 activities 0.341975 national public health 0.740904 Web sites 0.530122	CLICK HERE
10290	Centers for Disease Control and Prevention	Html	en	Before a Storm'Winter Weather	Taking preventive action is your best defense against having to deal with extreme cold-weather conditions. By preparing your home and car in advance for winter emergencies, and by observing safety precautions during times of extremely cold weather, you can reduce the risk of weather-related health problems.	temperatures 0.458116 winter storms 0.788413 stages 0.371516	challenge 0.397336 winter storm 0.722421	CLICK HERE
10539	Centers for Disease Control and Prevention	Html	en	CDC to present new national estimates and state-by-state data on healthcare-associated infections in U.S. hospitals | Media Advisory | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	Safe Care Campaign 0.965443 annual report 0.371853 medical complications 0.343801 healthcare-associated infections 0.352334 state-specific healthcare-associated infection 0.713036 Healthcare Quality Promotion 0.954919 press office 0.32183 contact CDC 0.483992 U.S. DEPARTMENT 0.324532 Michael Bell 0.365243 family members 0.339572 contact Melissa Brower 0.543685 healthcare-associated infection estimates 0.691913	healthcare-associated infection 0.816953 prevention progress 0.366197 Executive Director 0.347504 Medicine article 0.373849 CDC’s Division 0.560734 public affairs officer 0.510233 Deputy Director 0.382156 new publications 0.372714 New England Journal 0.602505 Armando Nahum 0.442725 visit http://www.cdc.gov/museum/visitor.htm 0.324573 HUMAN SERVICES 0.323884 Victoria Nahum 0.424575	CLICK HERE
10942	Centers for Disease Control and Prevention	Html	en	Ovarian Cancer Treatment	Ovarian cancer is treated in several ways. It depends on the kind of ovarian cancer and how far it has spread.	pills 0.443513 primary peritoneal cancers 0.816313 woman 0.476205 Medical oncologists 0.600939 Clinical trials 0.574613 sites 0.434061 body 0.433046 chemotherapy 0.739317 operations 0.434887 fallopian tube 0.619971 gynecologic oncologist—a doctor 0.803179 National Cancer Institute 0.714924 Gynecologic oncologists 0.850511 cancer doctor 0.653944 combination 0.435102 opinion. 0.433108 ovarian cancer 0.926032 Different treatments 0.566908 drugs 0.477917	cancer tissue 0.583825 Talk 0.431799 people 0.432429 opinion 0.465641 veins 0.440939 new treatment options 0.699907 effects 0.460238 special medicines 0.597432 NCI 0.436928 doctors 0.65459 different doctors 0.607392 Surgeons 0.435278 medical team 0.575067 information 0.469854 ovarian cancer treatment 0.747087 operation 0.435678 treatment plan 0.595432 surgery 0.569168	CLICK HERE
12833	Centers for Disease Control and Prevention	Html	en	Outbreak of Salmonella Newport Infections Linked toCucumbers - United States, 2014	Kristina M. Angelo, DO1,2, Alvina Chu, MHS3, Madhu Anand, MPH4, Thai-An Nguyen, MPH2, Lyndsay Bottichio, MPH2, Matthew Wise, PhD2, Ian Williams, PhD2, Sharon Seelman, MS, MBA5, Rebecca Bell, PhD5, Marianne Fatica, PhD5, Susan Lance, DVM, PhD5, Deanna Baldwin6, Kyle Shannon3, Hannah Lee, MPH3, Eija Trees, PhD2, Errol Strain, PhD5, Laura Gieraltowski, PhD2 (Author affiliations at end of text).	characterize PFGE pattern 0.536388 single nucleotide polymorphism 0.60865 leafy greens 0.568383 York State Department 0.586233 Kristina M. Angelo 0.618377 outbreak investigation 0.538274 produce items 0.531286 Agriculture foodborne outbreak 0.60528 outbreak 0.674845 Zoonotic Infectious Diseases 0.575171 ill persons 0.625959 PFGE pattern 0.754119 nucleotide polymorphism distance 0.609842 Illness onset dates 0.537926 Delmarva region 0.964039 highly related isolates 0.530676 Salmonella Newport outbreaks 0.574385 Salmonella Newport PFGE 0.572869 Maryland Department 0.560791 Salmonella Newport 0.861619 different distribution chain 0.605066 supplemental questionnaire 0.632809 illness subclusters 0.702855 distinct illness subclusters 0.536932 illness onset 0.621643	PFGE pattern JJPX01.0061 0.632796 novel outbreak vehicle 0.615057 multistate outbreak 0.537795 consuming cucumbers 0.564656 Delmarva region tomatoes 0.572278 XbaI PFGE pattern 0.537671 outbreak investigations 0.532943 New York subcluster 0.529014 local health 0.530715 informational traceback 0.603091 outbreak strain 0.59487 Salmonella Saintpaul infections 0.558433 New York 0.808183 unrelated ill persons 0.535205 FoodNet Population Survey 0.745812 Eastern Shore 0.579483 additional suspected outbreak 0.587826 Salmonella enterica serotype 0.592583 cucumbers 0.760584 national molecular subtyping 0.531782 cucumber consumption 0.557511 recommendations.** Cucumbers 0.551965 product traceback evidence 0.543277 Maryland rapid response 0.525874	CLICK HERE
13412	Centers for Disease Control and Prevention	Html	es	Epidemia de heroína - Signos Vitales	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.	Bajo Precio 0.317848 Archivo Apple Quicktime 0.324635 Archivo RealPlayer 0.314838 adultos jóvenes 0.317605 hepatitis b 0.316721 Archivo Microsoft PowerPoint 0.326076 Archivo Adobe PDF 0.324208 Archivo Microsoft 0.371168 Archivo Microsoft Word 0.325845	analgésicos opioides 0.992896 Crear directrices 0.316717 largo plazo 0.315786 mayores aumentos 0.320921 Archivo Zip Comprimido 0.32438 Archivo Microsoft Excel 0.323942 pacientes adictos 0.314739 creciente epidemia 0.319643	CLICK HERE
13721	Centers for Disease Control and Prevention	Html	en	Marleah's Story	The story of Marleah, a 27-year-old woman with a family history of breast cancer.	average risk 0.483671 skin cancer 0.485215 personal experience 0.47505 career 0.431939 Cancer Empowered 0.48969 mom 0.415537 BRCA1 0.414924 advocate 0.435219 skin exam 0.474722 alcohol intake 0.478454 maternal grandmother 0.491119 good journey 0.490776 results 0.414795 Marleah 0.678221 breast cancer treatment 0.607134 volunteer work 0.55178 dermatologist 0.417233 genes 0.414273 young age runs 0.569838 melanoma 0.415903 volunteers 0.414002 Florida 0.413969 BRCA2 mutation 0.500488 breast cancer. 0.54436	FORCE 0.413966 BRCA gene mutation 0.585902 high risk 0.621329 women 0.41433 motivation 0.416572 changes 0.414968 BRCA2 gene mutations 0.554514 healthy lifestyle choices 0.540781 BRCA2 gene mutation.BRCA 0.561757 aunt 0.417876 BReast CAncer gene 0.641547 ovarian cancer risk 0.561422 assistant professor 0.477744 higher risk 0.541856 breast cancer risk 0.633008 outdoor activities 0.480762 breast cancer 0.973335 healthy weight 0.477315 emotional journey 0.488767 health communications 0.479152 current research 0.478967 previvors.A person 0.475363 family history 0.57073 genetic testing 0.48447	CLICK HERE
16357	Centers for Disease Control and Prevention	Html	en	Vital Signs: Trends in HIV Diagnoses, Risk Behaviors, andPrevention Among Persons Who Inject Drugs - United States |MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	injection drug 0.565193 black pwid 0.535338 PWID 0.999076 syringe sharing 0.717025 U.S. cities 0.530685 HIV prevention 0.547222 behavioral surveillance data 0.574848 annual HIV diagnoses 0.522074 National HIV Surveillance 0.595369 blacks 0.545575 negative health outcomes 0.53149 New York City 0.524341 whites 0.521974 white new PWID 0.516188 HIV infections 0.542486 respondent-driven sampling 0.50655 high HIV prevalences 0.497126 HIV diagnoses 0.622494 comprehensive prevention services 0.497017 PWID access prevention 0.499202 white PWID 0.628122 hepatitis C virus 0.496556 self-reported hcv prevalence 0.506819 target sample size 0.533049	rural areas 0.489494 HIV Behavioral Surveillance 0.692419 New York 0.557665 sterile sources 0.76284 cities 0.576682 drugs 0.578459 SSPs 0.547806 drug use–related HIV 0.502933 Hispanic/Latino PWID 0.492939 HIV outbreaks 0.497954 urban areas 0.525537 National HIV Behavioral 0.697447 new white PWID 0.514379 HIV 0.895756 continuous age 0.49355 syringes 0.731047 human immunodeficiency virus 0.686007 sterile syringes 0.579237 syringe services program 0.567773 HCV 0.528324 new pwid 0.829036 HIV infection 0.517831 Hispanics 0.528625	CLICK HERE