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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
816	Centers for Disease Control and Prevention	Html	en	Flu Prevention Partners Success Stories: Text4baby Service	Partnership success stories, Text4baby - CDC	California San Diego 0.598877 date 0.343364 reminders 0.334184 free service 0.514386 CDC 0.329428 Washington University study 0.607066 collective efforts 0.461634 motherhood 0.335112 new partnership 0.489097 number 0.327451 fall publisher briefing 0.617532 flu vaccination 0.760029 Rite Aid 0.886622 safe sleep 0.459282 non-Text4baby participants 0.497154 Evaluation results 0.461226 appointments 0.32664 goal 0.32753 free text messages 0.627613 email Rachel Griffith 0.601059 celebration 0.327168 Pregnant women 0.527169 Healthy Babies Coalition 0.681944 California State University 0.599553 code 0.328352	Text4baby mothers 0.549513 free flu shots 0.950974 developmental milestones 0.465483 Text4baby moms 0.552426 health providers 0.459835 Prevention 0.326712 national retail partner 0.656866 medical warning signs 0.592162 new moms 0.544825 National Healthy Mothers 0.692352 BEBE 0.341895 Text4baby facilitates 0.490603 Families Fighting Flu 0.856113 Communications Manager 0.461765 flu blog Shot 0.873706 Text4baby participants 0.52289 San Marcos/University 0.462263 barriers 0.330145 baby’s birth 0.470595 flu season 0.901202 Dimes 0.342609 annual flu messaging 0.879645 local Rite Aid 0.678633 Pregnant Moms 0.553921	CLICK HERE
4769	Centers for Disease Control and Prevention	Html	en	Improving public health system performance through multiorganizational partnerships.	null	partnerships target services 0.589281 public health interventions 0.594353 Partnerships program 0.57502 government public health 0.592789 incentives hinder partnerships 0.607248 Rev Public Health 0.572131 public health approaches 0.587207 public health surveillance 0.59088 multiple public health 0.575685 public health systems 0.593443 public health services 0.586455 rural public health 0.575779 population health 0.603174 collective action 0.578411 public health activities 0.798134 BMC Public Health 0.569778 public health functions 0.579792 denser partnerships 0.570908 Public Health Performance 0.580858 public health practice 0.581895 collaborative partnerships 0.56761 community health 0.569433 health care organizations 0.593187 public health agencies 0.703556 large-scale implementation partnerships 0.587082	Public health delivery 0.59074 cost savings 0.566033 public health partnership 0.582403 public health funding 0.571333 public health partnerships 0.804241 core public health 0.581146 development partnerships 0.574835 health insurers 0.562451 implementation partnerships 0.593007 public health professionals 0.582288 public health 0.935229 health care 0.612181 multiorganizational partnerships 0.569142 nonclinical public health 0.581543 public health programs 0.598697 public health actions 0.572909 medical care 0.568442 local public health 0.632951 I. Public health 0.573467 intersectoral partnerships 0.583541 successful partnerships 0.567374 public health settings 0.574316 organizations 0.601976 public health agency 0.612905	CLICK HERE
5241	Centers for Disease Control and Prevention	Html	en	Measures of Adiposity and Cardiovascular Disease Risk Factors, New York City Health and Nutrition Examination Survey, 2004	null	racial/ethnic groups 0.407757 national prevalence 0.348965 lower prevalence 0.374886 City adult population 0.348057 York City Hispanics 0.364138 central adiposity 0.356588 high school education 0.343659 NYC HANES 0.452698 New York City 0.997657 CVD risk 0.581919 large New York 0.3422 plasma glucose measurement 0.342383 Nutrition Examination Survey 0.406391 obesity 0.395163 waist circumference 0.633997 body mass index 0.350506 elevated adiposity 0.344448 elevated waist-to-height ratio 0.587085 fasting plasma glucose 0.342867 elevated waist circumference 0.488323 associations 0.346573 excess adiposity 0.44456 adiposity measure 0.381896 adiposity indicators 0.36262	City adult residents 0.356891 higher obesity prevalence 0.357336 CVD risk factor 0.353366 prevalence 0.407952 York City adult 0.406708 Renu K. Garg 0.348658 different racial/ethnic groups 0.353221 Elizabeth Needham Waddell 0.346186 optimal adiposity measure 0.353485 participants 0.345075 R. Charon Gwynn 0.348175 York City Health 0.382369 annual household income 0.342277 waist-to-height ratio 0.624791 high prevalence 0.342654 York City Department 0.351479 national prevalence estimates 0.344864 age-adjusted New York 0.344551 noninstitutionalized New York 0.368279 adiposity measures 0.381024 York City adults 0.434437 higher prevalence 0.36138 CVD risk factors 0.558605 hypertension 0.350929	CLICK HERE
7299	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0066	The variation in health outcomes among communities results largely from different levels of financial and nonfinancial policy investments over time; these natural experiments should offer investment and policy guidance for a business model on population health.	data collection efforts 0.717313 data 0.940679 human service programs 0.599508 county 0.578662 expenditure data 0.650426 population health literature 0.589648 health outcomes 0.646614 WIC expenditures 0.588434 Wisconsin Population Health 0.595367 school districts 0.653911 human health hazard 0.579989 Health Services staff 0.588171 possible expenditures 0.585542 various health outcomes 0.577845 population health 0.878332 Community Health Data 0.614656 population health resource 0.602852 income tax credit 0.610915 health statistics 0.686045 health statistics information 0.596517 annual expenditures 0.585177 Community Health Improvement 0.572055 expenditures 0.879996 nonfinancial policy investments 0.583917	Population Health Institute 0.610457 Wisconsin-Madison Population Health 0.565229 Medicaid health maintenance 0.565946 expenditures data 0.647218 Wisconsin Department 0.611372 federal expenditures 0.580338 population health expenditures 0.68257 health investment relationships 0.581975 Health Statistics Vision 0.58211 information technology systems 0.677855 local health departments 0.720024 public health 0.697762 Wisconsin 0.641076 health care 0.577499 total expenditures 0.683937 health issue group 0.567144 public expenditures 0.621506 public health nursing 0.597015 welfare program rules 0.57869 health 0.957019 human services 0.822464 state expenditures 0.666847 policy makers 0.592868 capita expenditures 0.777735	CLICK HERE
8395	Centers for Disease Control and Prevention	Html	en	About Advance Care Planning - Aging	The primary audience for the Advance Care Planning course is public health and aging services professionals who serve adults and their families.	health education 0.550542 various communities 0.446595 Care Planning course 0.51697 legal foundation 0.446669 Page 0.454195 Healthy Aging Program 0.481481 commercial supporters 0.469525 Course modules 0.448876 Health Promotion 0.452431 Disease Control 0.566868 cph recertification credits 0.626838 advance care planning 0.924055 commercial services 0.468608 services professionals 0.491837 unlabeled product 0.446827 community-based professionals 0.451909 health care proxy 0.50602 advance planning 0.479294 education contact 0.512038 Master Certified Health 0.490873 commercial products 0.471326 Public Health Professionals 0.492928 primary audience 0.450001 education requirements 0.450305	Program Web site 0.478183 advance directive 0.473103 education activity 0.451973 Secondary audiences 0.447758 consumers plan 0.445528 Certified Health Education 0.537547 palliative care 0.45446 education total Category 0.48748 National Board 0.474276 care planning documents 0.569567 key laws 0.445717 hospice care 0.453503 Health Education Specialists 0.540035 CDC provider number 0.49487 public health 0.5822 Health Education Credentialing 0.50067 level continuing education 0.492359 various types 0.447098 advance directives 0.470806 critical background information 0.492435 effective advance care 0.521938 education units 0.451722 various laws 0.44698 Public Health Examiners 0.537711	CLICK HERE
9127	Centers for Disease Control and Prevention	Html	en	Image Gallery | Eagle Books Toolkit | Native Diabetes Wellness Program	null	Eagle Books Parchment 0.688999 Eagle Books Boo 0.724015 Eagle Books 0.968745 Active Bear Poster 0.550837 Books Hand-in-Hand Poster 0.59569 Youth Novel Poster 0.580999 Books Passport 0.545358 Native Diabetes Wellness 0.566781 Image Gallery 0.552599 Eagle Books Spring 0.675136 Eagle Books Landscape 0.688497 Eagle Books Color 0.687222 Eagle Books Hand-in-Hand 0.696074 Easel Stand 0.580781 Eagle Books Stationery 0.69762 page options Skip 0.544015 Eagle Books Greeting 0.687743 Books Toolkit Planning 0.564642 Stationery Eagle Books 0.698113 Diabetes Wellness Program 0.566674 Books Burnt Edges 0.56269 Books Burnt Edge 0.56331 Eagle Books Postcard 0.68903 Books Event Planning 0.567897 email address 0.549519	Graphic Novel Poster 0.578623 Search Form Controls 0.571073 Eagle Books 3-Panel 0.680403 Eagle Books Burnt 0.698948 Winter Bear Poster 0.550193 Books Character Stickers 0.586946 Eagle Books Event 0.725094 Eagle Books Bear 0.678526 Eagle Books Mask 0.683547 Books Parent Pledge 0.624662 Novel Character Tattoos 0.562147 Parent Pledge Card 0.615003 Eagle Coloring Book 0.659061 Eagle Books Parent 0.71908 Books Event Sample 0.599641 Eagle Books Youth 0.679852 Watercolor Stationery 0.561957 Eagle Books Labels 0.688357 Eagle Books Coyote 0.684196 Bear Poster 0.557 Eagle Books Word 0.685546 Eagle Books Eagle 0.82142 Eagle Books Toolkit 0.735864 Eagle Books Character 0.715101	CLICK HERE
10055	Centers for Disease Control and Prevention	Html	en	Sochi 2014: Winter Olympics and Paralympics | Digital Press Kit | CDC Online Newsroom	CDC wants you and your travel team to enjoy the Winter Games and bring home a suitcase full of gold, silver, and bronze memories. Plan ahead for safe and healthy travel!	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
11993	Centers for Disease Control and Prevention	Html	en	Long-Term Care Toolkit: Importance of Influenza Vaccination for Healthcare Personnel in Long-term Care	The Importance of Influenza Vaccination for Health Care Personnel in Long-term Care - CDC	long-term medical conditions 0.407647 lab-confirmed flu 0.417406 Influenza Outbreak Management 0.471986 Long-Term Care Medicine 0.410166 influenza-related complications 0.383495 high flu vaccination 0.473148 Different flu vaccines 0.483178 pregnant women 0.347578 standard flu shots. 0.466196 Fluzone® High-Dose 0.348818 health care personnel 0.985559 health professional organizations 0.395577 special emphasis 0.352086 influenza vaccine 0.606132 vaccine options 0.408791 chronic medical conditions 0.380692 MF59 adjuvant 0.352188 flu hospitalizations 0.44615 dose influenza vaccine 0.557038 flu illness 0.468389 long-term care facility 0.416069 infected residents 0.347017 standard dose vaccine 0.45376 vaccine effectiveness 0.396306 high risk 0.474577	influenza outbreak 0.483668 influenza prevention measures 0.469261 influenza 0.657668 CDC’s Interim 0.346093 United States 0.352302 chronic health conditions 0.40231 health threat 0.370091 flu vaccine 0.584495 Health Care Settings 0.411144 different people 0.360347 trivalent vaccine 0.407273 spray flu vaccine 0.532242 influenza season 0.436316 long-term care facilities 0.542132 recombinant influenza vaccine 0.555455 flu viruses 0.426871 Seasonal Influenza 0.433698 influenza vaccination 0.491715 people 0.412161 high dose 0.384813 mild flu symptoms 0.456999 influenza infections 0.435566 ACIP recommendations 0.354545 older adults 0.396802	CLICK HERE
12229	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | The Impact of a State-Sponsored Mass Media Campaign on Use of Telephone Quitline and Web-Based Cessation Services - CDC	Most US smokers do not use evidence-based interventions as part of their quit attempts. Quitlines and Web-based treatments may contribute to reductions in population-level tobacco use if successfully promoted. Currently, few states implement sustained media campaigns to promote services and increase adult smoking cessation. This study examines the effects of Florida’s tobacco cessation media campaign and a nationally funded media campaign on telephone quitline and Web-based registrations for cessation services from November 2010 through September 2013.	Florida tobacco users 0.47655 weekly Florida Quitline 0.430974 mass media campaign 0.370074 Tips television advertisements 0.403537 media campaign 0.636937 tobacco control programs 0.432121 tobacco users 0.783429 Web-based registrants 0.408212 cessation service users 0.416804 Florida Quitline 0.7157 population-level tobacco cessation 0.414357 national media campaigns 0.380705 study period 0.437678 cessation services 0.985449 television advertising 0.45503 Tobacco Free Florida 0.418961 television TRPs 0.419272 interactive Web-based cessation 0.398238 Web Coach 0.745303 mass media campaigns 0.427052 smoking cessation 0.450473 national Tips 0.413295 media market 0.434995 Web-based cessation services 0.803119	Florida Adult Tobacco 0.370563 Web Coach registrants 0.712665 tobacco cessation media 0.55811 state-sponsored Web-based cessation 0.4078 television advertisements 0.530542 weekly television TRPs 0.372687 Florida’s Quitline 0.384402 free Web-based cessation 0.409475 cessation service utilization 0.403976 cessation resource website 0.381265 Web-based cessation service 0.49014 weekly registrants 0.38329 state-sponsored cessation services 0.463169 Florida Quitline services 0.404181 media campaigns 0.535644 Florida Quitline registrants 0.627271 national Tips campaign 0.407719 adult smoking cessation 0.437409 cessation media campaign 0.527563 Web-based services 0.411819 Web-based cessation programs 0.401674 Tob Control 0.387351 tobacco education campaign 0.391381 et al 0.492805	CLICK HERE
12793	Centers for Disease Control and Prevention	Html	en	Communication and Leadership Personal Protective Equipment(PPE) | Ebola Hemorrhagic Fever | CDC	null	ease 0.348097 casual observer 0.581097 challenges 0.341969 example 0.339273 demands active communication 0.753606 safety 0.387006 patient 0.337419 leadership 0.337945 verbal explanations 0.531088 healthcare worker 0.95933 situations 0.342228 proper communication protocols 0.674693 mind 0.3377 process 0.431134	Trained Observer 0.576817 equipment 0.337569 role clarity 0.569702 ‘red flag 0.505215 priority 0.351903 donning 0.397856 steps 0.342604 command 0.382996 clear roles 0.543811 extra diligence 0.532482 methodical pace 0.551792 closed-loop communication 0.525122 misunderstandings 0.36107 job 0.339031	CLICK HERE