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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1001	Centers for Disease Control and Prevention	Html	en	Prevent Domestic Violence in Your Community | CDC Features	October is Domestic Violence Awareness Month	CDC 0.234243 Sexual Violence Survey 0.404684 intimate partner contact 0.359035 lifetime 0.239374 National Intimate Partner 0.358119 public health problems 0.281803 IPV 0.26392 sexual coercion 0.252344 teaching skills 0.250026 physical violence 0.559063 Disease Control 0.255788 key strategies 0.248066 experienced contact 0.245482 safety 0.218614 fullest potential 0.256257 sexual intimacy 0.253775 same-sex couples 0.249542 influential adults 0.245248 economic supports 0.298953 violence prevention 0.397228 unwanted sexual contact 0.288954 community 0.221226 severe episodes 0.248284 nonviolent relationships 0.304961 developmental pathways 0.295694	healthy relationship skills 0.27433 programs 0.226423 women 0.26244 United States 0.247353 healthy behaviors 0.243322 contact sexual violence 0.698588 intimate partner 0.979054 prevention efforts 0.250285 percent 0.270141 lessen harms 0.248891 technical package 0.354099 key strategy 0.253984 violence 0.833089 societal level change 0.294606 single episode 0.250761 Numerous ways 0.256428 families 0.21946 support survivors 0.281178 best available evidence 0.280332 young people skills 0.280174 protective environments 0.298941 long-term harms 0.245341 intimate partner violence 0.767703 Domestic Violence Awareness 0.42789	CLICK HERE
4586	Centers for Disease Control and Prevention	Html	en	FluWorkLoss Special Edition	null	National ILI 0.267166 h1n1 outbreak 0.351825 different attack rates 0.312041 community employment rate 0.312111 A. FluWorkLoss Special 0.350638 family member 0.31379 sick family members 0.302519 default attack rate 0.320867 number 0.371377 sick family member 0.301113 age group populations 0.304669 FluWorkLoss Results 0.267421 Special Edition program 0.328934 influenza pandemic 0.34878 previously published FluWorkLoss 0.332836 Download FluWorkLoss 0.280913 H1N1 Influenza 0.382656 distinct age groups 0.305222 PM ET 0.263249 attack rates 0.354703 H1N1 proportionate graphs 0.318739 FluAid Special Edition 0.453051 minimum number 0.269983 age group population 0.303214 beta test version 0.295697	age group 0.35431 specific employment information 0.306106 potential number 0.324758 pandemic start 0.30654 default number 0.270597 sick family 0.310622 total number 0.270119 total workdays 0.438344 attack rate 0.470848 H1N1 occurrence 0.312444 graphic illustrations 0.263433 Special Edition software 0.321155 Flu WorkLoss Results 0.295154 FluWorkLoss Special Edition 0.987925 newly adapted FluWorkLoss 0.330772 community cohabitat rate 0.313025 workdays 0.555309 ILI proportionate graphs 0.31805 frequent daily interaction 0.300457 Special Edition spreadsheet 0.317753 H1N1 Influenza response 0.336412 spreadsheet-based software program 0.319707 maximum number 0.269307 user 0.279461	CLICK HERE
6947	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012:11_0250	Although researchers develop evidence-based programs for public health practice, rates of adoption and implementation are often low. This qualitative study aimed to better understand implementation of the Program to Encourage Active, Rewarding Lives for Seniors (PEARLS), a depression care management program at a Seattle-King County area agency on aging.	case managers 0.826673 Policy Ment Health 0.57686 PEARLS 0.984493 program implementation 0.654504 eligibility criteria 0.57485 agency staff 0.532469 PEARLS referral 0.591724 mental health 0.673239 PEARLS roles 0.586496 depression symptoms 0.543834 PEARLS counselors 0.683464 PEARLS program delivery 0.665157 PEARLS benefits 0.637958 PEARLS programs 0.599906 health promotion research 0.588591 ADS case managers 0.560633 PEARLS implementation 0.701792 focus groups 0.638986 negative consequences 0.56252 case management 0.539457 PEARLS worksheet 0.605245 health care 0.535777 PEARLS team member 0.631146	PEARLS delivery discourage 0.668409 PEARLS depression treatment 0.635694 mental health settings 0.553501 advertising PEARLS 0.600363 traditional mental health 0.565944 PEARLS program staff 0.714277 focus group participants 0.58289 PEARLS clinical supervisor 0.638277 care management program 0.569941 randomized controlled trial 0.55705 PEARLS referrals 0.609718 Washington Health Promotion 0.525769 PEARLS staff member 0.664939 public health practice 0.603033 evidence-based programs 0.573377 PEARLS providers 0.592667 program eligibility criteria 0.548078 focus group 0.888806 PEARLS effectiveness study 0.650017 older adults 0.528386 Adm Policy Ment 0.557132 case manager 0.69557 PEARLS clients 0.752991	CLICK HERE
7693	Centers for Disease Control and Prevention	Html	en	CDC Mobile - eHealth Metrics Dashboard	CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government.	high level 0.30626 non-mobile devices 0.272847 page views 0.667463 Zika outbreak content 0.594924 mobile phones 0.499689	main contributors 0.316355 mobile devices 0.766374 page 0.906458 mobile views 0.436989	CLICK HERE
8044	Centers for Disease Control and Prevention	Html	en	Environmental Public Health Tracking Network Program	The National Environmental Public Health Tracking Program	high-risk areas 0.68068 drives public health 0.673962 health alerts 0.586244 childhood lead poisonings 0.623341 New York City 0.625494 health issues 0.646614 blue-green algae conditions 0.61102 new Web applications 0.609873 data needs 0.580011 health hazards 0.590224 public’s health 0.602999 water threats 0.567573 Environmental Health 0.594343 environmentally-related health effects 0.657189 potentially hazardous situations 0.605 Utah Tracking Network 0.667749 public health officials 0.750326 epidemiologic investigations 0.56692 environmental hazards 0.633644 numerous public health 0.675062 environmental exposure 0.578345 local tracking systems 0.654391 limited resources 0.574971 city sources 0.573577	data warehouse 0.572451 high-risk neighborhoods 0.580496 lead poisoning rates 0.627078 tracking program 0.749306 local tracking networks 0.653546 CDC funds participation 0.624221 high risk areas 0.626429 tracking data 0.639677 Public Health Tracking 0.721288 hazard information 0.574859 public health 0.882965 chronic diseases 0.566507 Vermont Tracking Program 0.636209 critical information 0.56714 Maine Tracking Program 0.643838 health concerns 0.593143 public health programs 0.675431 local health officials 0.671019 Tracking Network 0.995388 leverages environmental data 0.629353 public inquiries 0.58363 childhood lead poisoning 0.732358 carbon monoxide poisoning 0.639474 Web-based surveillance network 0.654686	CLICK HERE
10031	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence of Smoke-Free Car and Home Rules in Maine Before and After Passage of a Smoke-Free Vehicle Law, 2007"2010 - CDC	This is the first study to examine the prevalence of self-reported smoke-free rules for private cars and homes before and after the passage of a smoke-free vehicle law.	State smoke-free laws 0.565218 smoke-free laws 0.610056 Risk Factor Surveillance 0.50553 smoke-free indoor policies 0.563326 high school education 0.564807 statewide smoke-free vehicle 0.631016 smoke-free indoor environment 0.584965 tobacco control state 0.505078 Disease Control 0.546332 children 0.528252 smoke-free public places 0.555468 increase smoke-free norms 0.564324 smoke-free home rule 0.582073 secondhand smoke 0.658724 voluntary smoke-free rules 0.622604 smoke-free vehicle law 0.912874 tobacco smoke 0.630785 smoke-free vehicle study 0.582796 smoke-free car rule 0.71495 smoke-free vehicle ordinance 0.591849 smoke-free car rules 0.872971 smoke-free home rules 0.792514 Nicotine Tob Res 0.528282 Behavioral Risk Factor 0.506809 smoke-free car law 0.664646	smoke-free home policies 0.609124 smoke-free workplace 0.566159 voluntary smoke-free home 0.625465 smoke-free homes 0.541103 United States 0.503653 Self-reported smoke-free car 0.616284 Maine 0.546024 smoke-free rules 0.754839 tobacco smoke pollution 0.508669 smoke-free rule prevalence 0.643474 public smoke-free laws 0.577073 Scottish smoke-free legislation 0.556591 smoking 0.570663 smoke-free policies 0.546047 smoke-free vehicle rules 0.602054 strong smoke-free workplace 0.560725 secondhand smoke exposure 0.626093 voluntary smoke-free car 0.620129 smoke-free vehicles 0.547157 smoke-free vehicle rule 0.573412 self-reported smoke-free rules 0.621458 comprehensive smoke-free workplace 0.550735 smoke-free vehicle laws 0.588154 control state highlights 0.50353	CLICK HERE
11205	Centers for Disease Control and Prevention	Html	es	Detección del consumo de alcohol y consejería	Signos Vitales de los CDC ofrece datos recientes y hace un llamado a actuar respecto de importantes temas de salud pública	Washington D 0.375564 Bajo Precio 0.778332 Archivo Apple Quicktime 0.411448 Archivo Microsoft PowerPoint 0.419546 Archivo Adobe PDF 0.410184 Archivo Microsoft 0.614329	Archivo Microsoft Word 0.418323 Archivo Zip Comprimido 0.410169 organizaciones proveedoras 0.37438 alto consumo 0.531118 Archivo Microsoft Excel 0.409545 seguro médico 0.900119	CLICK HERE
13103	Centers for Disease Control and Prevention	Html	en	Interim Guidance on the Use of Antiviral Medications for Treatment of Human Infections with Novel Influenza A Viruses Associated with Severe Human Disease	Provides guidance for antiviral treatment of human infection with novel influenza A viruses associated with severe human disease; these viruses currently include H7N9 and HPAI H5N1. - CDC	influenza 0.927901 human influenza 0.491448 avian influenza 0.620406 severe H5N1 influenza 0.480836 uncomplicated seasonal influenza 0.521785 Influenza Laboratory 0.451828 influenza antiviral agents 0.504779 novel influenza 0.909469 infectious diseases 0.640204 severe influenza infection 0.483803 critically ill patients 0.472981 severe influenza 0.570594 oseltamivir treatment 0.455019 seasonal influenza viruses 0.507204 influenza illness duration 0.465838 CDC’s Influenza 0.479248 novel avian-origin influenza 0.465717 Clinical infectious diseases 0.593228 human novel influenza 0.496006 influenza illness onset 0.500777 influenza virus infection 0.489517 CDC Influenza Division 0.472728 Infectious Diseases Society 0.601716	Influenza Season 0.462832 lower respiratory tract 0.488267 influenza A virus 0.500493 New England journal 0.454941 influenza virus N1 0.470178 acute seasonal influenza 0.451953 Influenza Antiviral Medications 0.515297 seasonal influenza 0.609233 acute uncomplicated influenza 0.533816 severe human disease 0.477472 ill influenza patients 0.496696 enterically administered oseltamivir 0.449372 influenza complications 0.4586 Influenza Study Group 0.461123 antiviral treatment 0.585729 influenza viral replication 0.470065 neuraminidase inhibitor 0.460051 Avian Influenza website 0.4692 official publication 0.472049 et al 0.810561 Avian Influenza AV 0.451861 severe disease 0.452034 oseltamivir 0.512595	CLICK HERE
13938	Centers for Disease Control and Prevention	Html	en	Youth Physical Activity Guidelines	null	health education teachers 0.54511 partner organizations 0.482853 physical education 0.48167 CDC 0.4179 bone-strengthening physical activity 0.564185 community leaders 0.484713 Human Services 0.502542 Activity Guidelines Toolkit 0.569265 User Guide 0.484928 Physical Activity Guidelines 0.671625 Department 0.418763 PDF 0.418839 toolkit components 0.492874 children 0.478041 MB 0.421363 school 0.415374 coordinators 0.418756 muscle-strengthening physical activity 0.56853	daily physical activity 0.673642 youth physical activity 0.756234 overview 0.415487 adolescents 0.514716 various audiences 0.48267 strategies 0.415888 Americans 0.418542 state levels 0.483969 community-based organizations 0.481375 families 0.415861 physical activity 0.966355 regular physical activity 0.564749 examples 0.41539 schools 0.415874 support youth 0.478967 health benefits 0.485042 toolkit materials 0.499358	CLICK HERE
15400	Centers for Disease Control and Prevention	Html	en	Understanding Barriers to Colorectal Cancer Screening inKentucky	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.	Kentucky Behavioral Risk 0.569775 health insurance 0.590687 screening colonoscopy 0.521429 health care provider 0.802466 Risk Factor Surveillance 0.654467 BRFSS barriers 0.50005 high school education 0.992611 insurance coverage 0.582544 preventive screening 0.517503 Prev Med 0.496863 structural barriers 0.505146 CRC screening questions 0.599799 common barriers 0.596585 care systems barriers 0.580743 screening colonoscopies 0.506164 systems-level barriers 0.504302 colorectal cancer screening 0.891056 existing barriers 0.514953 health insurance coverage 0.532636 CRC screening 0.946966 CRC screening increases 0.593546 increase CRC 0.496066 Non-Hispanic black respondents 0.486278 Affordable Care Act 0.488762 respondents 0.536554	Behavioral Risk Factor 0.653214 cost barriers 0.522756 colonoscopy screening rates 0.561899 Kentucky CRC 0.504396 individual-level barriers 0.505408 cancer screening rates 0.575282 effective CRC screening 0.601357 multiple barriers 0.51664 increase screening 0.506931 greatest barriers 0.527941 public health 0.504729 health care systems 0.548163 colorectal cancer incidence 0.487438 patient-reported barriers 0.516216 specific barriers 0.498308 complex barriers 0.497477 CRC screening rates 0.621026 beliefs 0.489847 different screening methods 0.52745 white respondents 0.504886 regular health care 0.510325 barriers 0.806945 health insurance barriers 0.540999 New Mexico 0.491141	CLICK HERE