ARTICLES LIST

Clear Search

Select the Article Source National Cancer Institute Office of Dietary Supplements National Institute on Aging Healthfinder.gov National Institute of Child Health and Human Development Centers for Disease Control and Prevention Administration for Children and Families National Institute of Environmental Health Sciences National Library of Medicine National Institute of Allergy and Infectious Diseases National Center for Complementary and Integrative Health National Institute of Neurological Disorders and Stroke NIH Senior Health National Institute of Arthritis and Musculoskeletal and Skin Diseases Health and Human Services National Institute of General Medical Sciences National Institute of Dental and Craniofacial Research National Human Genome Research Institute Food and Drug Administration Center for Tobacco Products Public Health and Medical Emergency Support for a Nation Prepared Office of Disease Prevention and Health Promotion, Healthy People National Institute on Drug Abuse National Institutes of Health National Institute of Diabetes and Digestive and Kidney Diseases U S Food and Drug Administration National Institute on Deafness and Other Communication Disorders National Heart, Lung, and Blood Institute

Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
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
5040	Centers for Disease Control and Prevention	Html	en	Assessing Your Weight: BMI: BMI Formula for Children and Teens | DNPAO | CDC	null	centimeters 0.657886 ounces 0.305254 alternate calculation formula 0.861648 weight 0.612581 oz 0.283662 meters 0.425063 result 0.286175 inches 0.408247	pounds 0.399155 kilograms 0.749656 fractions 0.29389 lbs 0.295266 conversion factor 0.545978 height 0.966023 English measurements 0.545313	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
9459	Centers for Disease Control and Prevention	Html	es	Principios para guiar la creación de incentivos en la salud poblacional	null	siguientes principios 0.84412 amplia gama 0.806962	Estados Unidos 0.794128	CLICK HERE
9463	Centers for Disease Control and Prevention	Html	es	Observaciones sobre incentivos para mejorar la salud poblacional	null	Preventing Chronic Disease 0.911205 especial importancia 0.556635 mejores resultados 0.509044 Salud Pública 0.795403	Mobilizing Action Toward 0.906503 innumerables oportunidades 0.576766 Community Health 0.568889	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
12273	Centers for Disease Control and Prevention	Html	en	U.S. Public Health Service Seal Mystery	CDC Centers for Disease Control and Prevention David J. Sencer CDC Museum	Rosebank Quarantine Station 0.487852 CDC 0.211714 quarantine station 0.525264 Mystery The seal 0.384762 cutter ships 0.284343 USPHS cutter ship 0.45714 error 0.210639 smoke stack 0.255615 Staten Island 0.325658 rear view mirrors 0.306745 Atlanta 0.222613 quarantine anchorage area 0.396461 e-mail 0.210716 Foreign Quarantine Service 0.391767 Quarantine inspectors 0.345747	PHS seal 0.330794 yellow quarantine flag 0.396132 PHS cutter ship 0.353472 health service seal 0.865908 U.S. Public Health 0.81005 mirror image 0.257812 backwards 0.270738 picture 0.210628 Seal Mystery ca 0.408599 Service Seal Mystery 0.70319 smokestacks 0.298921 answer 0.221417 quarantine inspection 0.346017 Public Health Service 0.945114	CLICK HERE