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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1053	Centers for Disease Control and Prevention	Html	en	Vital Signs: Births to Teens Aged 15-17 Years - UnitedStates, 1991-2012	Please note: An erratum has been published for this article. To view the erratum, please click here.	sexually experienced female 0.510685 effective contraceptive methods 0.509047 effective reversible methods 0.492986 never-married female teens 0.584286 effective method 0.501551 birth control methods 0.499938 clinical birth control 0.620089 birth rate 0.543616 failure rate 0.478306 sexually active females 0.493297 effective reversible contraceptive 0.482799 younger teens 0.613531 younger female teens 0.594497 older teens 0.519677 National Vital Statistics 0.487855 births 0.595097 reproductive health-care services 0.481111 younger teens exposure 0.544653 female teens 0.842644 birth control 0.824327 active younger teens 0.53021 prevention opportunities 0.471641 experienced female teens 0.610501 teen births 0.470318 effective methods 0.501042	United States 0.49004 methods 0.512581 age group 0.48958 formal sex education 0.898452 shows birth rates 0.47649 teens 0.944778 U.S. teen birth 0.490337 sexual initiation 0.482659 sexually active teens 0.556986 non-Hispanic blacks 0.504295 Family Growth 0.473494 non-Hispanic whites 0.47516 National Survey 0.470914 active female teens 0.542513 American Indians/Alaska Natives 0.581678 sexual health education 0.491926 teen birth rate 0.498517 CI 0.49744 effective birth control 0.49994 health 0.496404 birth control services 0.614749 females teens 0.510745 New Hampshire 0.472674 fewer young teens 0.525227	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
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
11467	Centers for Disease Control and Prevention	Html	en	Data and Statistics | Down Syndrome	null	red blood cells 0.548858 younger mothers 0.452874 American Academy 0.445819 United States 0.502279 health care information 0.482907 financial problems 0.446697 Iron deficiency anemia 0.481074 low birth weight. 0.491988 Pediatrics Health Supervision 0.480977 African-American infants 0.467686 average medical care 0.482847 babies 0.535129 general population 0.446934 family member 0.446389 Obstructive sleep apnea 0.484366 life 0.477869 lower chance 0.447312 Eye issues 0.446191 time period 0.448188 certain group 0.451778 syndrome 0.782493 children 0.531651 Hirschsprung disease 0.445934 total number 0.452109	private insurance 0.445169 Ear infections 0.446291 breathing equipment 0.444877 health care 0.539715 Read summary 0.968321 infants 0.508547 wide variety 0.448312 Intestinal blockage 0.448478 heart defect 0.580379 health care costs 0.482209 white infants 0.468812 congenital heart defect 0.572318 life expectancy 0.453354 early childhood 0.444941 syndrome increases 0.482816 live births 0.452782 thigh bone 0.446483 common chromosomal disorder 0.505444 healthcare provider 0.448036 normal birth weight 0.490207 Older mothers 0.450332 age increases 0.454929 Eye diseases 0.446322	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
13929	Centers for Disease Control and Prevention	Html	en	Adenovirus | Clinical Overview | CDC	Colorized transmission electron micrograph of adenovirus shown along with clinical identification of adenoviruses.	immunologically distinct adenoviruses 0.918837 respiratory illness 0.713306 illnesses 0.392152 objects 0.335078 Infants 0.338723 type 0.333282 frequency 0.332392 non-enveloped icosohedral viruses 0.702467 croup 0.365196 pneumonia 0.348219 surfaces 0.338035 immune systems 0.668444 adenovirus vaccine administration 0.679708 common disinfectants 0.512104 adenoviruses 0.998568 cystitis 0.348857 doorknobs 0.363746 acute respiratory illness 0.668602	small lakes 0.497086 types 0.336025 adenovirus infection 0.538426 neurological disease 0.488465 bronchitis 0.349561 military recruits 0.485785 conjunctivitis 0.34996 swimming pools 0.502904 people 0.363724 water 0.335017 double-stranded DNA 0.516947 gastroenteritis 0.35389 high risk 0.482395 ongoing infections 0.486893 severe illness 0.510924 intestines 0.351382 humans 0.338209	CLICK HERE
15489	Centers for Disease Control and Prevention	Html	en	Smoking & Tobacco Use | Gay and Bisexual Men's Health | CDC	Learn more about the harmful effects of smoking, smokeless tobacco, and secondhand smoke.	lung diseases 0.875338 Smokers Campaign 0.461511 heart attacks 0.440172 illnesses. People 0.449035 health threat 0.490277 chronic obstructive lung 0.885567 smoking-related illness 0.556623 general U.S. population 0.885515 bisexual men 0.48953 better quality 0.457434 fewer HIV-related symptoms 0.832952	gay men 0.492848 pneumonia 0.31634 heart disease 0.794814 smoking 0.821629 high risk 0.485041 cancer 0.233101 higher rates 0.924733 past decade 0.551565 harmful consequences 0.497243 long-term benefits 0.496017	CLICK HERE