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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
768	Centers for Disease Control and Prevention	Html	en	2013 Agency Accomplishments | CDC Features	As 2013 comes to a close, CDC looks back on the top 5 health concerns of the year while preparing for the projected health threats of 2014. Read the whole story: CDC’s 2013: A Year in Review.	CDC.gov Current Features 0.906892	specific topic 0.706916	CLICK HERE
1102	Centers for Disease Control and Prevention	Html	en	Workers' Compensation Claims for Musculoskeletal DisordersAmong Wholesale and Retail Trade Industry Workers - Ohio,2005-2009	Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov.	small WRT employers 0.476273 high rates 0.299441 BLS case definitions.§ 0.294187 injury/illness diagnosis data 0.29958 work-related musculoskeletal disorders 0.373629 highest claim rates 0.296715 lost-time WMSD rates 0.444303 Nondurable Goods 0.339646 WMSD workers 0.428317 WRT industry 0.746233 т‰Ѕ250 0.348726 WRT subgroups 0.506177 WRT subsectors 0.905735 Home Furnishings Stores 0.451212 WRT NAICS 0.444164 Auto-coded WMSD claims 0.481133 compensation claims data 0.377947 NC 0.64048 motor vehicle parts 0.463776 Bayesian auto-coding 0.291611 higher rates 0.317312 employees 0.298546 WMSD lost-time claims 0.466003 lost-time WMSD claims 0.462292	WMSDs 0.338235 Retail Trade 0.295517 United States 0.291406 injury/illness diagnosis 0.3062 alcoholic beverages 0.460777 furniture stores 0.381077 wholesalers 0.337337 manually coded claims 0.321703 North American Industry 0.302735 WRT industry subsectors 0.649968 single-location employers 0.3294 related products 0.397894 compensation claims 0.438331 highest rates 0.401321 single-location WRT employers 0.5799 compensation insurance.* Data 0.306392 certain WRT subsectors 0.529399 WRT employers 0.594174 WRT industry employers 0.505707 WRT subsector Merchant 0.47868 WMSD claims 0.77195 Durable Goods 0.39561 ergonomic hazards 0.291021 WMSD claim rates 0.441605	CLICK HERE
4685	Centers for Disease Control and Prevention	Html	en	Making better use of the policies and funding we already have	null	nongovernmental organizations 0.561307 health plans 0.523059 additional dedicated resources 0.509026 population health improvement 0.582188 health improvement activities 0.596073 Health Insurance Program 0.619223 health care 0.581446 underreimbursed public programs 0.527852 health issues 0.507796 health impact 0.510852 Rev Public Health 0.573239 enormous population health 0.565267 mutual health goals 0.540759 health professionals 0.520469 population health 0.994037 public employee investment 0.523266 public health leaders 0.616676 community benefit 0.655646 public policy 0.569535 numerous public health 0.575591 health care reform 0.555646 private sector 0.509498 community health 0.661628 Foundation Health Plan 0.534182 community health initiative 0.576643	community environmental changes 0.520037 Children’s Health 0.553934 inadequate public management 0.50566 public health planning 0.578445 public organizations 0.548561 policies 0.520614 public agencies 0.571925 Health Polit Policy 0.559056 local health 0.520623 population health reform 0.607212 public health 0.621054 health care systems 0.546723 population health programs 0.627641 resources 0.510091 Population health policy 0.633222 population health interventions 0.572207 population health perspective 0.622398 public policy case 0.523017 community health interventions 0.567695 adverse health consequences 0.544842 views community benefit 0.506214 nonprofit health organizations 0.577726 population health advocates 0.583189 traditional health 0.520982	CLICK HERE
4923	Centers for Disease Control and Prevention	Html	en	Conjunctivitis: Diagnosis	Viral conjunctivitis can usually be diagnosed from the typical signs and symptoms. Bacterial conjunctivitis can be diagnosed by a healthcare provider from the typical symptoms.	bacterium 0.499313 allergen 0.512209 infection 0.472144 Español 0.523204 professional diagnose 0.770208 cause 0.970959 Page 0.467042 conjunctivitis 0.798932 matter 0.472729 patient history 0.765722 virus 0.578176	eye 0.750511 symptoms 0.721928 doctor 0.475791 firm diagnosis 0.725867 infected eye 0.686666 healthcare provider 0.691338 examination 0.481731 eye discharge 0.686062 Diagnóstico 0.480698 redness 0.469674 pink eye 0.727724	CLICK HERE
9059	Centers for Disease Control and Prevention	Html	en	Head Lice Information for Schools	Information for schools regarding head lice, head lice infestation, and pediculosis.	Personal hygiene 0.395647 Pediatrics 0.240107 nonmedical personnel 0.399494 School Nurses 0.379535 fact 0.232909 American Academy 0.390986 informational materials 0.376563 successful treatment 0.398822 policies 0.269641 Misdiagnosis 0.251384 nits 0.770464 students 0.272108 following reasons 0.385765 advocate 0.237754 burden 0.241049 scalp 0.248719 copying 0.237142 nit checks 0.399329 end 0.238838	shafts 0.238915 class 0.238662 disease 0.235974 head lice 0.904071 shells 0.237219 web site 0.376602 NASN 0.234442 people 0.232915 cleanliness 0.252182 National Association 0.390254 AAP 0.250248 appropriate treatment 0.402864 risks 0.232536 schools 0.233706 public domain 0.3762 inch 0.238406 unnecessary absenteeism 0.405299 return 0.240753 live head lice 0.72993	CLICK HERE
9393	Centers for Disease Control and Prevention	Html	es	Oportunidades perdidas para la cesación del tabaquismo en adultos diabéticos de Florida (2007) y Maryland (2006).	null	Carter-Pokras OD 0.917052 Bethune LA 0.858677 Fried JL 0.980578 Ye C 0.939218	Chen L 0.893216 Johnson TM 0.897551 Estados Unidos 0.578856	CLICK HERE
9476	Centers for Disease Control and Prevention	Html	es	Lecciones aprendidas de un esfuerzo de colaboración para mejorar la atención médica de pacientes con diabetes en 17 centros de salud comunitarios, Massachusetts, 2006	null	altos directivos 0.313859 Diabetes Educ 0.300816 health insurance 0.301361 health professions education 0.301058 pacientes pruebas 0.301817 quality improvement collaboratives 0.300803 health services research 0.300999 quality improvement 0.301991 auxiliares médicos 0.302084 diabetes fact sheet 0.301021 Kirchhoff AC 0.300998 health insurance coverage 0.300962 auxiliar médico 0.301137 Chin MH 0.302082 Improving diabetes care 0.301256 Massachusetts Health Insurance 0.301233 Ambul Care Manage 0.300861 Estados Unidos 0.300943 Rimington A 0.300948 Med Care 0.301302 salud comunitarios participantes 0.31046 Colaboración Nacional 0.301724 colaboración quizás 0.301529 ciclos phra 0.313567 Midwest community health 0.301004	autocontrol gracias 0.300914 Keegan T 0.300966 Sustaining quality improvement 0.300719 Jt Comm 0.301069 chronic care model 0.302117 salud comunitarios oportunidades 0.303642 elementos facilitadores 0.302488 Guillen M 0.300998 diabetes care 0.303938 Salud Pública 0.302623 sustaining diabetes care 0.301286 Massachusetts Medical School 0.300875 Health Resources 0.300739 futuros esfuerzos 0.302729 acuerdo intercodificador 0.302736 health disparities collaboratives 0.306623 Drum ML 0.301012 O’Malley AJ 0.301017 rural primary care 0.300813 Massachusetts League 0.30083 diabetes health disparities 0.301425 community health centers 0.314248 mejores resultados 0.302075 salud comunitarios 0.999464	CLICK HERE
11879	Centers for Disease Control and Prevention	Html	en	Nonfatal Injuries 1 Week After Hurricane Sandy - New YorkCity Metropolitan Area, October 2012	Robert M. Brackbill, PhD1, Kimberly Caramanica, MPH1, Maret Maliniak1,2, Steven D. Stellman, PhD1,3, Monique A.	injured persons 0.55691 Monique A. Fairclough 0.550161 injuries 0.947979 mental health updates 0.569907 Steven D. Stellman 0.5445 New York City 0.78338 numerous storm-related injuries 0.670037 inundation zone 0.803801 World Trade Center 0.545861 WTC Health Registry 0.584804 injury 0.705647 Sandy-related injuries 0.64636 James E. Cone 0.54478 Mark R. Farfel 0.549265 injury prevention advice 0.547796 Robert M. Brackbill 0.54789 Sandy survey 0.5967 Hurricane Sandy–flooded areas 0.553722 clean-up/repair related injuries 0.627429 electrocution injuries 0.560033 densely populated areas 0.54983 persons 0.63901 multiple injuries 0.596407 Sandy study sample 0.595588 NYC inundation zone 0.61725	common injury 0.54495 inundation zones 0.861573 Trade Center 0.547483 metropolitan area 0.545416 enrollees 0.544483 York City Metropolitan 0.563565 injury likely underestimates 0.561766 different injuries 0.578868 Hand/arm injuries 0.573008 Center Health Registry 0.54365 Nonfatal Injuries 0.607133 public health 0.582314 New York 0.935339 Sandy 0.6946 data collection 0.54633 New Jersey 0.56132 home 0.602686 household income 0.609482 Carey B. Maslow 0.545723 Amanda J. Moy 0.543576 hurricane-related injuries 0.57321 pre-hurricane health data 0.560917 Hurricane Sandy 0.588805 Mental Hygiene 0.608516	CLICK HERE
12633	Centers for Disease Control and Prevention	Video	en	Director's Briefing: Latest on Flu	CDC Director Dr. Tom Frieden talks about the latest data on flu, as well as answers some basic questions including how effective is the seasonal flu vaccine and who (and who shouldn't) get the seasonal flu vaccine. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://streaming.cdc.gov/vod.php?id=e610f3b1323f11238c06432fefcc4b6020130118112817578	Briefing 0.973311 Director 0.513875	Flu 0.863555	CLICK HERE
13869	Centers for Disease Control and Prevention	Html	en	Consumption of Alcoholic Beverages and Liquor Consumption byMichigan High School Students, 2011	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.	underage drinking 0.367784 common type 0.296027 nonbinge drinkers 0.450782 binge drinkers 0.537974 binge drinking 0.658409 type 0.358121 youth 0.319692 alcohol advertising 0.319705 alcohol interventions 0.292906 Youth Tobacco Survey 0.312971 alcohol control policies 0.322056 Alcohol Use Prevention 0.304563 alcohol taxes 0.34573 vodka consumption 0.310819 alcohol 0.821993 usual type 0.344157 alcohol tax policies 0.306052 energy drinks 0.578748 Michigan high school 0.60795 higher blood alcohol 0.311216 alcohol poisoning 0.303915 current alcohol 0.303391 significantly higher prevalence 0.325183 binge drinking episodes 0.305822	alcohol information 0.293726 alcoholic beverage 0.296623 binge drinking intensity 0.29686 alcohol marketing 0.336591 usual liquor type 0.293426 usual alcohol type 0.33445 United States 0.315706 frequent alcohol consumption 0.352246 alcohol consumption 0.631784 liquor 0.487976 usual alcohol 0.334997 higher alcohol concentration 0.312283 beverage-specific alcohol consumption 0.512744 public health 0.305597 alcohol beverage consumption 0.365686 alcohol outlet density 0.304821 high school students 0.99963 alcohol excise taxes 0.304661 current drinkers 0.423195 alcohol consumption patterns 0.336433 liquor consumption 0.344962 binge drinking prevalence 0.329437 alcohol intoxication 0.30394 excessive alcohol consumption 0.401394	CLICK HERE