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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
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
6194	Centers for Disease Control and Prevention	Html	en	Ethical concerns regarding interventions to prevent and control childhood obesity.	null	physical education 0.658421 health advisory committee 0.660587 obesity rates 0.724821 new federal health 0.669357 childhood obesity epidemic 0.799015 Prev Chronic Dis 0.741407 new national obesity 0.733145 obesity conflict 0.707537 Wood Johnson Foundation 0.76353 childhood obesity interventions 0.809149 Public Health Fund 0.666646 children 0.686899 support healthy living 0.656257 meaningful downward trend 0.657584 White House Task 0.653589 Nutrition Examination Survey 0.659013 obesity prevalence 0.715487 large health care 0.681266 physical education requirement 0.654994 Affordable Care Act 0.657786 public policy 0.658659 special health care 0.711385 federal government agency 0.653408 adequate quality standards 0.653714	competitive foods 0.654526 neighborhood safety programs 0.653573 School National Partnership 0.658025 nutritional standards 0.666915 Healthy Communities program 0.662901 Robert Wood Johnson 0.763541 policy priorities 0.695768 school baking sales 0.653471 promising efforts 0.658718 individual rights 0.654608 health care 0.725047 Healthy Schools Program 0.662626 White House 0.690348 health care policies 0.669987 Sworetzky B. Children 0.663119 physical activity 0.706137 Surgeon General 0.6574 food marketing 0.654947 effective industry self-regulation 0.655883 General David Satcher 0.66322 childhood obesity 0.997497 recent National Health 0.6783 recent Dietary Guidelines 0.655323 healthful foods 0.75086	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
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
9141	Centers for Disease Control and Prevention	Html	en	Asthma - Potentially Effective Interventions for Asthma - Parents - Home	Potentially Effective Interventions for Asthma - Parents - Home	1-point average increase 0.384605 5-week series 0.361554 health care provider 0.400239 Host community sites 0.409642 control group 0.364309 Natl Med Assoc 0.409213 correct instructional materials 0.397985 day-care centers 0.361379 asthma control survey 0.640466 peak flow meters 0.392525 asthma knowledge scores 0.671624 asthmatic children 0.526334 large single cohort 0.396612 pre-post test design 0.404499 primarily African-American parents 0.403364 life scores 0.363128 Inner-city community settings 0.417186 asthma 0.913364 asthma control 0.74758 *In asthma quiz 0.6035 post-instructional test scores 0.408986 Intervention Setting 0.362892 community centers 0.370519 appropriate reading levels 0.396002 urban asthmatic children 0.449283	Likert-type response scale 0.393068 asthma classes 0.667717 average test score 0.397639 asthma quality-of-life survey 0.635673 childhood asthma 0.579747 Children’s Hospital 0.367882 asthma scores 0.586708 community asthma prevention 0.61527 asthma self-management 0.587166 Community asthma education 0.690629 Self-referred parents 0.368451 Asthma books 0.556803 comprehensive medical records 0.386939 raw scores 0.360327 African-American asthmatic children 0.438837 community residents 0.362315 program classes 0.360475 Asthma curriculum 0.601741 parental perception 0.398237 higher scores 0.36068 asthma knowledge 0.691303 post-test scores 0.365168 asthma symptoms 0.607499 asthma management behaviors 0.636645	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
13402	Centers for Disease Control and Prevention	Html	en	Promoting Evidence-Based Decision Making in a Local HealthDepartment, Pueblo City&ndashCounty, Colorado	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	3-day EBDM training 0.488711 local board 0.483181 EBDM principles 0.485373 Evidence-Based Public Health 0.476699 public health practitioners 0.476692 EBDM practice 0.483067 Washington University 0.46609 different local health 0.473505 selected staff members 0.487675 EBDM standard practice 0.480636 PCCHD staff engagement 0.477752 EBDM process 0.466812 quality improvement 0.488443 EBDM Professional recognition 0.475628 ebdm performance 0.480777 EBDM skills 0.46952 EBDM Performance evaluation 0.475799 follow-up survey 0.482797 case study 0.467205 Public Health Accreditation 0.477004 individual staff member 0.469172 public health practice 0.482162 Pueblo City–County Health 0.532 survey 0.507151	community health services 0.468439 ebdm training 0.53513 Overall domainc 0.488584 PCCHD staff members 0.551021 City–County Health Department 0.538267 EBDM concepts 0.472256 EBDM 0.874819 health department community 0.47096 local health department 0.709668 Prevention Research Center 0.484565 mid-sized health department 0.473479 EBDM processes 0.473624 PCCHD staff 0.577982 St. Louis 0.49204 local health departments 0.664155 public health 0.794966 EBDM Positive feedback 0.47463 staff members 0.925633 baseline survey 0.487101 public health director 0.473949 focus group 0.484792 evidence-based interventions 0.536181 health department leaders 0.472025 Evidence-based decision making 0.478841	CLICK HERE
13543	Centers for Disease Control and Prevention	Html	en	Keeping Children Safe | CDC Features	School is in session. Take three steps to protect them from emergencies.	water main break 0.861677 emergency stockpile 0.598163 session 0.362347 Parents 0.358762 special foods 0.584532 water pressure 0.608413 emergency 0.608299 students 0.418854 extras 0.357198 Diapers 0.369625 backpack contact information 0.857002 emergencies 0.519953 first-day pictures 0.645434 nearby schools 0.603365 school 0.657749 essential supplies 0.587554 children 0.478068 Atlanta 0.358018 pencils 0.371655 KB 0.360436 Inhaler 0.384489 Medications 0.356454	n’t working 0.575221 event 0.35534 warning—even 0.355647 Download 0.35181 backpack card 0.628931 Milk 0.35329 Battery pack 0.584232 evacuation 0.365464 wallet 0.364387 tornadoes 0.365777 water main breaks 0.842877 Bring extra medication 0.834552 new bus schedules 0.92257 bathrooms 0.367724 school policy 0.580237 special equipment 0.574396 phone 0.351556 flush toilets 0.640379 neighborhood 0.361563 Georgia 0.357985 quick steps 0.642556 notifications 0.369684	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
14488	Centers for Disease Control and Prevention	Html	en	Areas with Zika	Countries and territories with active Zika virus transmission...	mosquito-borne Zika virus 0.651435 CDC 0.515263 United States 0.472251 FL 0.333244 Brownsville 0.440991 Miami-Dade County 0.517149 countries 0.331999 yellow) area. 0.906673 people 0.36862	preconception counseling 0.504493 transmission 0.337965 world 0.331796 previous Zika 0.62115 territories 0.348715 guidance 0.478948 Texas 0.365234 risk 0.331594 travel 0.330658	CLICK HERE