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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1017	Centers for Disease Control and Prevention	Html	en	Prevent Gang Membership	Stopping youth gang involvement requires public health and public safety professionals working together. Changing Course: Preventing Gang Membership provides insights into risk factors for kids joining gangs and offers principles for prevention to change the course of the future for young people.	suppression efforts 0.570913 outlaw mentality 0.541284 large numbers 0.5366 protective factors 0.773406 new way 0.545168 lasting reduction 0.541001 social consequences 0.534917 high-risk sexual behaviors 0.655916 law enforcement efforts 0.654219 cascading impact 0.544665 various reasons 0.533514 police officers 0.543557 gangs 0.883211 young children 0.534713 key principles 0.549438 public health systems 0.707902 important relationship 0.543474 community-services providers 0.54341 violence prevention 0.667648 risk factors 0.986661 abusive intimate partner 0.639312 youth gang problem 0.766705 Gang Membership 0.8952 CDC’s Division 0.544901 particular ages 0.533518	high-risk communities 0.542632 promising results 0.533964 youth gang involvement 0.788984 experience long-term health 0.652174 Law enforcement intervention 0.669819 United States 0.549743 community leaders 0.679429 common age 0.540082 youth gang 0.897005 prevention efforts 0.88438 young people 0.842445 Download Changing Course 0.662322 PDF 157KB 0.533815 public health approach 0.650481 public safety 0.694469 early prevention efforts 0.698726 individual-level risk factors 0.728463 life-skills training 0.539358 law enforcement 0.801344 public health 0.986934 National Institute 0.672051 kids 0.538144 practice evidence-based principles 0.66719 Gang-joining prevention efforts 0.690598	CLICK HERE
1183	Centers for Disease Control and Prevention	Html	en	Vital Signs: Foodborne Norovirus Outbreaks - United States,2009-2012	Aron J. Hall, DVM1, Mary E. Wikswo, MPH1, Kimberly Pringle, MD2, L.	high-profile outbreaks 0.471513 Interagency Food Safety 0.376588 infectious food workers 0.376377 emergency department visits 0.456704 vegetable row crops 0.397576 territorial health departments 0.457339 primary transmission route 0.401192 specific food item 0.375262 Specific food categories 0.386737 ill staff members 0.400245 foodborne disease outbreaks 0.623319 food contamination 0.376506 certified kitchen managers 0.399692 bare-hand contact 0.401114 foodborne spread 0.378539 foodborne norovirus disease 0.482721 Administration Food Code 0.412388 food preparation 0.42708 Norovirus Sentinel Testing 0.371184 single known cause 0.362136 infected food workers 0.386148 nonfoodborne norovirus outbreaks 0.535907 norovirus contamination 0.367716 reported case-hospitalization 0.371844 foodborne outbreaks 0.66938	single food category 0.37031 nonfoodborne outbreaks 0.561198 norovirus outbreaks 0.903032 United States 0.419661 foodborne transmission 0.447217 ready-to-eat foods 0.425687 laboratory-confirmed outbreaks 0.479319 Drug Administration Food 0.411578 acute gastroenteritis 0.39409 public health 0.417777 food safety practices 0.370218 food workers 0.532087 sporadic cases 0.391725 NORS 0.369113 Aron J. Hall 0.407661 direct person-to-person contact 0.365528 fewer norovirus outbreaks 0.514641 person-to-person contact 0.396695 noroviruses 0.386847 foodborne norovirus outbreaks 0.783533 food safety 0.425154 National Outbreak Reporting 0.417372 specific norovirus genotype 0.383482 cause human disease 0.363383	CLICK HERE
5016	Centers for Disease Control and Prevention	Html	en	Understanding Health Literacy	CDC Health Literacy. This site provides information and tools to improve health literacy and public health. These resources are for all organizations that interact and communicate with people about health, including public health departments, healthcare providers and facilities, health plans, government agencies, non-profit/community and advocacy organizations, childcare and schools, the media, and health-related industries.	services people 0.367837 Test Materials 0.355779 Maastricht University 0.350711 Updated Systematic Review 0.393236 Human Services 0.388734 limited literacy 0.477276 skill issues 0.347591 health literacy research 0.55136 numbers skills 0.356926 health literacy skills 0.749579 health information 0.539817 unfamiliar information 0.374795 strong literacy 0.480716 health literacy problem 0.620255 Health Literacy Survey 0.546348 medical terms 0.359138 worst health 0.378164 outcomes 0.319887 health services 0.416148 healthcare activities 0.35044 best decisions 0.352202 health conditions 0.421699 conflicting steps 0.35574	National Library 0.351381 national data 0.35103 Improving Health Literacy 0.554185 reports document 0.353009 Healthcare Research 0.350533 Limited health literacy 0.562199 online options 0.355839 Helen Osborne 0.349684 health literacy issues 0.602297 people’s literacy 0.49554 everyday life 0.360763 European Union countries 0.390987 similar health literacy 0.546713 health status 0.382296 numeracy skills 0.410756 Surgeon General 0.350872 health problems 0.395889 National Academies 0.352924 health literacy 0.960948 Health Literacy Interventions 0.553181 health literacy leaders 0.551365 unfamiliar technical information 0.426903 National Action Plan 0.395126	CLICK HERE
6478	Centers for Disease Control and Prevention	Html	en	Promoting smoke-free environments and tobacco cessation in residential treatment facilities for mental health and addictions, Oregon, 2010	Smoking bans and cessation support in residential treatment facilities can reduce tobacco-related disparities among people with mental illness and addictions, but states may need to be the catalyst for policy implementation.	Mental Health Division 0.514012 drug treatment facilities 0.520246 mental health 0.913303 Prev Chronic Dis 0.563401 addiction residential treatment 0.513864 future tobacco policies 0.495022 tobacco cessation 0.575584 substance addiction facilities 0.506243 Richard L. Harris 0.555579 cessation support 0.534329 Oregon Health Authority 0.510742 community-based residential treatment 0.504355 addiction treatment facilities 0.593663 smoke-free campus policies 0.523853 mental illness 0.544877 new state policy 0.495677 indoor smoking bans 0.491935 Cinzia Romoli 0.492873 current tobacco-related policies 0.511607 mental illness attempt 0.489985 cessation services 0.487853 statewide policy changes 0.609937 smoking cessation 0.501803 tobacco-related disparities 0.496287 peer-based cessation support 0.533512	smoke-free campuses 0.501646 facility administrators 0.627123 treatment facility administrators 0.517312 mental health facilities 0.541232 residential treatment facilities 0.783305 public health staff 0.570011 mental health treatment 0.601505 policy implementation 0.487806 cessation resources 0.536101 outdoor smoking 0.493478 Cathryn Cushing 0.492413 substance addiction treatment 0.568201 tobacco-related policies 0.547389 public health 0.612186 smoking bans 0.496924 Linda L. Drach 0.495056 secure mental health 0.524635 Public Health divisions 0.507864 Public Health Division 0.540764 Public Health Service 0.49785 cessation 0.587149 cessation policies 0.52887 Oregon Public Health 0.509645 health treatment facilities 0.569565	CLICK HERE
7882	Centers for Disease Control and Prevention	Html	en	Social Media Tools for Consumers and Partners - Tools	Basic information from CDC about breast cancer.	CDC widget 0.756423 CDC 0.897568 syndication technology 0.495481 open information exchange 0.722332 HIV prevention 0.492597 credible health 0.531457 occupational health 0.513285 send messages 0.499411 social networking Web 0.693415 free social networking 0.692514 social media tools 0.72764 science-based health information 0.768211 Facebook 0.344092 communication infrastructure 0.516333 upload photos 0.505909 fresh web content 0.673233 Social Media Public 0.70174 online micro-blogging 0.529678 profiles 0.333471 quirky way 0.50433 professional network 0.50391 View CDC 0.825838 users 0.369276 friends 0.364422 Comment Policy 0.506131	LinkedIn 0.359375 colleagues 0.338871 access 0.336723 certain content 0.515139 Twitter 0.340096 safety information 0.503478 variety 0.336281 public health professionals 0.69971 CDC blog 0.790028 social media 0.914376 RSS feeds 0.485286 Stay 0.386386 email updates 0.486172 website 0.333553 interactive way 0.486046 public health images 0.657633 safety content 0.493229 mobile device 0.487287 partners 0.362992 CDC’s photo 0.755572 CDC.gov web pages 0.651058 CDC content 0.788746 new audiences 0.521754 portable format 0.483557	CLICK HERE
8860	Centers for Disease Control and Prevention	Html	en	West Nile Virus Diseases | CDC	Information on West Nile virus. Provided by the U.S. Centers for Disease Control and Prevention.	vaccines 0.355596 protective clothing 0.504387 fever 0.352842 continental United States 0.696656 North America 0.536706 bites 0.423912 summer 0.348018 symptoms 0.443581 WNV cases 0.467447	fall 0.349814 West Nile virus 0.948056 infected people 0.523165 medications 0.351507 season 0.3482 WNV 0.727797 headaches 0.352059 insect repellant 0.505528	CLICK HERE
10127	Centers for Disease Control and Prevention	Html	en	Telebriefing on launch of global health security agenda | Transcript | CDC Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	country 0.248441 lower income countries 0.22864 HHS Press Office 0.227286 strategic national stockpile 0.227156 Miss Holgate 0.219488 partner countries 0.233681 infectious disease threats 0.209802 Disease Control 0.255668 Dr.Tom Frieden 0.225472 National Security Council 0.206209 press star 0.230923 world health organization 0.820799 health security agenda 0.638484 infectious disease outbreaks 0.274466 income countries 0.392837 increased global travel 0.205787 upper income countries 0.22906 tom frieden 0.558033 countries 0.678648 TOM FRIDEN 0.205682 telephone keypad 0.235968 safer world 0.205897 michael smith 0.210342 global health security 0.910293	Public Health Research 0.209906 United States 0.318625 laura holgate 0.563114 low income countries 0.297826 biological defense programs 0.271234 infectious disease management 0.203061 international health emergency 0.222944 rapid progress 0.315781 additional countries 0.271775 high income countries 0.224984 bob roos 0.204066 technical cooperation 0.242732 middle income countries 0.287645 disease threats 0.257664 new global health 0.264215 health regulations compliance 0.203279 question 0.447547 tom skinner 0.912408 international health regulations 0.448455 senior director Holgate 0.368207 OPERATOR 0.210426 infectious disease 0.392761 larger income countries 0.228993 Health Organization deadline 0.220977	CLICK HERE
11091	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Impact of San Francisco™s Toy Ordinance on Restaurants and Children™s Food Purchases, 2011"2012 - CDC	In 2011, San Francisco passed the first citywide ordinance to improve the nutritional standards of children’s meals sold at restaurants by preventing the giving away of free toys or other incentives with meals unless nutritional criteria were met. This study examined the impact of the Healthy Food Incentives Ordinance at ordinance-affected restaurants on restaurant response (eg, toy-distribution practices, change in children’s menus), and the energy and nutrient content of all orders and children’s-meal–only orders purchased for children aged 0 through12 years.	test purchases 0.493293 Food Incentives Ordinance 0.752709 data 0.467736 positive restaurant changes 0.465699 public health policies 0.466062 restaurant response 0.472074 french fries 0.517573 children 0.709144 ordinance nutritional criteria 0.504426 public health ordinance 0.496907 healthful meals 0.470703 ordinance enactment 0.562826 Santa Clara County 0.588091 toy ordinance 0.521445 National Academies Press 0.466806 Healthy Food Incentives 0.697256 San Francisco Healthy 0.50444 significant decrease 0.495389 food restaurant chains 0.477568 Ordinance wording 0.476793 restaurant food environments 0.493712 restaurants 0.523154 fast food restaurants 0.491992 food chain restaurants 0.482047 free toys 0.518995	meals 0.586329 study 0.49383 restaurant chains 0.55677 fast food 0.519587 pre-ordinance time point 0.915693 county-level ordinance 0.486072 similar ordinance 0.4769 pre-ordinance time point1 0.46937 healthful default 0.502884 beverage 0.485527 children’s meal 0.46806 study time points 0.477468 public health 0.529682 ordinance intent 0.474203 citywide ordinance 0.49301 menu changes 0.484017 ordinance prohibits restaurants 0.517811 Francisco Healthy Food 0.509932 Significantly fewer children 0.464798 San Francisco 0.713428 ordinance criteria 0.531173 ordinance language 0.476872 default side dish 0.540455 time points 0.619372	CLICK HERE
12230	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Importance of Nutrition VisitsAfter Gastric Bypass Surgery for American Veterans, San Francisco,2004-2010 - CDC	Nutrition counseling is important for veterans undergoing gastric bypass surgery. The aim of this study was to explore the relationship between the number of nutrition visits a patient attended and change in body mass index (BMI) after gastric bypass surgery for the veteran population.	Roux-en-Y gastric bypass 0.743616 low weight loss 0.466483 AMA PRA Category 0.465273 bariatric procedures 0.462409 Administration Medical Center 0.555576 relevant financial relationships 0.493026 gastric bypass surgery 0.957058 weight loss surgery 0.503617 nutritional follow-up visits 0.466039 AMA PRA 0.473516 bariatric surgery patient 0.493721 greater weight loss 0.467131 postsurgery nutrition visits 0.534792 Affairs Medical Center 0.49692 bariatric surgery patients 0.543398 B. Bariatric surgery 0.488708 Obes Surg 0.546132 health care 0.487787 San Francisco Veterans 0.622886 postsurgery weight loss 0.47716 bariatric surgery 0.801818 total weight loss 0.465934 body mass index 0.539796 post-bariatric surgery patient 0.466044	weight loss 0.911475 nutrition visits 0.717579 Aung Zaw Win 0.500869 weight loss goals 0.494391 gastric banding surgery 0.478927 BMI change 0.535091 Francisco Veterans Administration 0.563098 San Francisco 0.656201 Veterans Administration Medical 0.466679 postoperative nutrition visits 0.483354 bypass surgery patients 0.499971 multidisciplinary bariatric team 0.464227 Regular nutrition visits 0.471896 postoperative weight loss 0.491671 bariatric surgery team 0.499182 et al 0.557061 Veterans Affairs 0.510575 Francisco Veterans Affairs 0.50829 CrossRef 0.479703 maximum weight loss 0.469084 durable weight loss 0.469814 retrospective study 0.467728 postsurgery BMI change 0.467373	CLICK HERE
14346	Centers for Disease Control and Prevention	Html	en	Injection Drug Use | HIV Risk and Prevention | HIV/AIDS	Injection drug use is a significant part of the HIV epidemic in the United States. Learn the risk factors for people who inject drugs and how they can reduce the risk of transmission.	CDC. HIV infection 0.544773 HIV trends 0.510178 National HIV/AIDS Strategy 0.376823 drugs—national HIV 0.505399 injection drug 0.430035 CDC surveillance systems 0.38962 male-to-male sexual contact 0.433866 community-level HIV/STD prevention 0.386746 HIV prevention 0.788789 nonurban areas 0.383703 IDU 0.42258 treatment services 0.405395 HIV-negative person 0.386358 high-impact prevention approach 0.386402 new populations 0.386086 limited HIV prevention 0.584342 injection equipment 0.386749 HIV prevention services 0.571295 HIV medical care 0.544061 sexually transmitted diseases 0.434959 HIV prevention methods 0.575941 health problems 0.378739 HIV prevention strategies 0.573784 high risk 0.421043 national HIV/AIDS surveillance 0.37839	sexual risk behaviors 0.403904 HIV Surveillance Special 0.541591 United States 0.551017 risky sexual behaviors 0.389069 HIV epidemic 0.522938 PWID 0.485111 high levels 0.379486 HIV Surveillance Report 0.543245 National HIV Surveillance 0.624536 CDC funds 0.38412 HIV diagnosis 0.508845 local health departments 0.430108 hiv behavioral surveillance 0.61196 National HIV Behavioral 0.554089 antiretroviral postexposure prophylaxis 0.377876 testing behaviors 0.377862 HIV care 0.545774 disorder treatment services 0.385452 appropriate prevention messages 0.38055 HIV 0.967649 HIV testing 0.532782 syringe services program 0.378733 risk 0.426966 HIV infection 0.730739	CLICK HERE