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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
6436	Centers for Disease Control and Prevention	Html	null	National influenza vaccination week telebreifing - Press Briefing Transcript: December 5, 2011	CDC Telebriefing: National influenza vaccination week telebreifing November 10, 2011, Noon E.T.			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
9664	Centers for Disease Control and Prevention	Html	en	Veterinary Health Care - NIOSH Workplace Safety and Health Topic	Veterinary medicine and animal care workers provide medical, surgical, preventive health or animal care services for a variety of animal species in many different workplace settings. These workers are exposed to biological, chemical, physical, and psychological hazards depending on their workplace setting, species of animals worked with, and type of tasks performed.	United States 0.566564 preventive health 0.627075 stakeholders 0.373894 Veterinary medicine 0.610578 type 0.343037 non-farm animal caretakers 0.836156 veterinarians 0.356464 NORA 0.371947 variety 0.347954 Labor Statistics 0.556711 animals 0.343224 veterinary medical workers 0.787447 health hazards 0.60933	tasks 0.354461 Bureau 0.346033 NIOSH National Occupational 0.837497 Research Agenda 0.581686 animal care services 0.867634 Social Assistance Sector 0.787374 psychological hazards 0.647995 academics 0.352905 animal species 0.606008 veterinary technicians 0.57639 Healthcare 0.341154 priority workplace safety 0.880717 different workplace settings 0.973039	CLICK HERE
11556	Centers for Disease Control and Prevention	Html	en	MMWR News Synopsis: September 11, 2014 | CDC Media Relations | CDC	MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	varicella case-based surveillance 0.752744 varicella reporting 0.650435 completeness 0.422685 continued monitoring 0.580451 flhealth.gov 0.417264 National 0.414811 varicella surveillance data 0.763591 Considerable progress 0.489191 vaccination status 0.597032 additional cases 0.496277 jurisdictions 0.482627 measles diagnosis 0.599435 measles infections 0.599355 Health Level 0.487144 outbreak association 0.496762 Brazilian citizen 0.493622 measles outbreak 0.621191 persons 0.415165 public health response 0.576684 HUMAN SERVICES 0.486543 Fla 0.420691 CDC Media Relations 0.5755 compatible symptoms 0.490127 varicella disease trends 0.731546 Public Information Officer 0.589983	United States 0.673085 epidemiologic data 0.491297 possibly associated case 0.578259 world 0.416257 varicella vaccination program 0.922722 unknown vaccination history 0.63302 U.S. DEPARTMENT 0.485863 routine measles vaccinations 0.696943 Florida Department 0.496142 Children 0.416107 disease severity 0.55962 travel history 0.495655 unvaccinated siblings 0.501115 source case 0.496996 Continued work 0.502712 varicella surveillance practices 0.907581 Dain Weister 0.520647 ongoing source 0.495504 varicella-specific data 0.484804 Orange County 0.584192 Dain.Weister 0.417274 Healthcare providers 0.49347 future varicella vaccination 0.766944 Micronesian Community 0.494989	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
11944	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Text Messaging to Motivate Exercise Among Latino Adults at Risk for Vascular Disease: A Pilot Study, 2013 - CDC	In 2013, we administered a 15-item survey to determine the extent of text message usage among Latino adults in Kansas; for a subset of the survey participants, we also conducted a 6-week pilot trial to determine the effect of text messaging on exercise behaviors. Among the 82 survey participants, 78% had unlimited text messaging. At baseline, all trial participants were at the stage of contemplation; at 6 weeks, one (9%) trial participant remained at the contemplation stage and the other 10 (91%) participants progressed to the action/maintenance/termination stage. Use of text messaging to motivate exercise is feasible and potentially efficacious among Latinos.	15-item survey in-person 0.407996 6-week PACE scores 0.415252 trial participant 0.372405 atherosclerotic risk factor 0.408542 Texas Health Science 0.386092 6-week pilot trial 0.435062 atherosclerotic risk factors 0.691588 pilot trial 0.542529 Health Promotion Research 0.38697 unlimited text messaging 0.527579 text messaging 0.892701 loss pilot trial 0.396349 yearly household income 0.454794 weight loss 0.419365 action/maintenance/termination stage 0.402196 Health Interview Survey 0.397511 Kansas Medical Center 0.393272 Latino adults 0.833921 baseline 0.362362 text messages 0.53446 Tracie C. Collins 0.386254 15-item survey 0.464529 Exercise Behaviors Questionnaire 0.409174 Spanish text messages 0.419183	Potential participants 0.445065 Latinos 0.404874 trial participants 0.491101 United States 0.403812 contemplation stage 0.444088 text message usage 0.586322 Human Subjects Committee 0.399601 postexercise behavior scores 0.394823 PACE protocol 0.362087 non-Hispanic whites 0.448962 participants 0.741326 recent pilot trial 0.396521 Wichita State University 0.391693 Peripheral arterial disease 0.405052 research assistants 0.403039 exercise behaviors 0.420091 systematic review 0.432053 Spanish-speaking participants 0.449511 physical activity 0.922215 leisure-time physical activity 0.407262 6-week trial 0.418451 survey participants 0.598316 weight loss trial 0.391911 cellular telephone 0.446114	CLICK HERE