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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1236	Centers for Disease Control and Prevention	Html	en	Restaurant Menu Labeling Use Among Adults - 17 States,2012	Seung Hee Lee-Kwan, PhD1,2, Liping Pan, MD2, Leah Maynard, PhD2, Gayathri Kumar, MD1, Sohyun Park, PhD2 (Affiliations at end of text).	lower calorie 0.303757 highest proportion 0.283963 chain restaurants 0.326758 ML information 0.510117 complex multistage cluster 0.278841 ML policies 0.474013 New York City 0.279013 ML users 0.751129 ML female users 0.478908 lower calorie content 0.299243 ML 0.946424 topic-specific optional modules 0.278741 federal law 0.283462 BRFSS median response 0.276007 restaurant ML users 0.478975 response rate 0.277077 Seung Hee Lee-Kwan 0.363073 moderate ML users 0.458377 chain restaurant ML 0.516205 Valid response options 0.276989 food service establishments 0.277309 cellular telephone respondents 0.300766 self-reported ML 0.475807 Behavioral Risk Factor 0.281885	adult BRFSS respondents 0.317733 fast food 0.379132 calorie intake 0.287382 age group 0.429504 civilian U.S. adults 0.282135 Labeling optional module 0.353118 states 0.389141 telephone household survey 0.280347 BRFSS respondents 0.351648 ML awareness 0.424971 public health professionals 0.286018 New York counties 0.278983 public health 0.310846 Sugar-Sweetened Beverages 0.288089 ML question 0.571569 New York 0.445878 BRFSS state coordinators 0.276425 calorie information 0.510565 ML data 0.426378 Chronic Disease Prevention 0.324712 median survey response 0.283121 healthier dietary choices 0.283285 menu item calorie 0.309727 Menu Labeling 0.285753	CLICK HERE
4657	Centers for Disease Control and Prevention	Html	en	Surveillance of obesity-related policies in multiple environments: the Missouri Obesity, Nutrition, and Activity Policy Database	null	environments 0.741961 state policy progress 0.573851 obesity-related local policies 0.640768 key informants 0.60952 obesity policy 0.573142 MoNAP Policy Checklist 0.568935 school 0.625299 multiple environments 0.672347 local policy database 0.577225 obesity prevention 0.576522 Missouri obesity rates 0.572457 local environments 0.572159 Activity Policy Database 0.609595 missouri obesity 0.608657 obesity-related policy environment 0.602017 healthy eating 0.636272 health care environments 0.585086 Zealand Health Policy 0.571763 community 0.589462 nested cluster design 0.581504 counties 0.5951 school environment 0.597187 city 0.573357 obesity-related policy occurrence 0.599697 child care environments 0.613749	child care 0.675878 chronic disease policy 0.567435 Missouri 0.647844 local policy surveillance 0.573992 health care 0.842001 public health 0.57126 policy 0.754409 health care systems 0.593378 key informant interviews 0.61487 city policies 0.573121 school environments 0.570437 high policy occurrence 0.58446 geographically representative baseline 0.579939 Missouri statewide obesity 0.57983 target environments 0.644058 stratified nested cluster 0.583682 low funding levels 0.579122 physical activity 0.716241 obesity-related policies 0.971809 obesity epidemic 0.61211 Missouri school children 0.568296 promising local policies 0.582937 obesity-related policy 0.602319 particularly influential policies 0.575737	CLICK HERE
5400	Centers for Disease Control and Prevention	Html	en	Chronic Disease Surveillance Systems Within the US Associated Pacific Island Jurisdictions	null	CDC-supported data sources 0.484592 USAPI chronic disease 0.707243 reliable data collection 0.537155 standard chronic disease 0.512729 Northern Mariana Islands 0.508058 chronic disease risk 0.513747 available surveillance data 0.502084 Disease Control 0.489793 surveillance data sources 0.542236 chronic disease teams 0.500427 chronic disease conditions 0.498706 population-based data sources 0.499208 disease surveillance infrastructure 0.486691 data sources 0.795902 risk factors 0.485597 population health 0.487196 World Health Organization 0.483602 disease data sources 0.594199 end-stage renal disease 0.484941 disease surveillance capacity 0.530907 chronic disease 0.978532 disease surveillance data 0.564664 institution-based data sources 0.565117 chronic disease prevention 0.563369 chronic disease data 0.654492	available population-based data 0.488519 chronic disease surveillance 0.942099 links USAPI data 0.5026 disease surveillance indicators 0.507685 American Samoa 0.639888 chronic disease indicators 0.528117 Effective chronic disease 0.545265 Health Metric Network 0.482322 institution-based chronic disease 0.524599 standardized data collection 0.486946 disease surveillance systems 0.503098 hospital discharge data 0.483696 data analysis 0.523315 score data sources 0.483155 USAPI data sources 0.571642 data source quality 0.482856 individual jurisdictions 0.5436 health 0.533639 chronic disease deaths 0.51893 chronic disease trends 0.497252 data collection 0.578298 disease data source 0.518932 USAPI jurisdictions 0.617854 chronic disease representatives 0.50908	CLICK HERE
6929	Centers for Disease Control and Prevention	Html	en	Campaign to Prevent Falls in Construction - United States, 2012 - Announcement	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.	mmwrq@cdc.gov. 0.788191 construction workers 0.919522 endorsement 0.674821 Human Services 0.880474 assistive technology 0.795421 MMWR HTML versions 0.889029 U.S. Department 0.865656 current population survey 0.901056 falls 0.721395 electronic PDF version 0.878427 e-mail 0.66204 national campaign 0.771066 deaths 0.670766 broad range 0.770339 disproportionate risk 0.79826 Additional information 0.771861 Contact GPO 0.78952 commercial sources 0.761988 fall-related fatalities 0.828983 fall-related injuries 0.815931 industry sector 0.764725 current prices 0.758488 U.S. workers 0.79227 original paper copy 0.886645	United States 0.775961 U.S. Government Printing 0.896988 original MMWR paper 0.883525 fatal events 0.773776 occupations 0.63419 Washington 0.652735 MMWR readers 0.765758 Occupational Safety 0.763441 character translation 0.754103 scaffolds 0.635743 Persons 0.631418 Labor Statistics 0.884678 format errors 0.755439 Bureau 0.646761 subject line 0.789591 typeset documents 0.762105 trade names 0.762111 preventable public health 0.943042 official text 0.752205 construction industry 0.784692 non-CDC sites 0.75912 national workforce 0.777762 organizations 0.65371 electronic conversions 0.750935	CLICK HERE
7763	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease SaludableOmaha: Development of a Youth Advocacy Initiative to Increase Community Readiness for Obesity Prevention, 2011- 2012 - CDC	Childhood obesity rates in minority populations continue to rise despite leveling national trends. Although interventions that address social and environmental factors exist, processes that create demand for policy and environmental change within communities have not been identified.	South High 0.419711 Latino childhood obesity 0.326474 Nebraska Medical Center 0.456868 community readiness assessment 0.307622 Omaha community partner 0.303017 health-promoting community environments 0.272853 obesity prevention strategies 0.300756 Nebraska Latino community 0.317624 community health leaders 0.265262 community leaders 0.402796 youth advocacy program 0.430523 Omaha Latino community 0.333384 childhood obesity epidemic 0.299906 project 0.284307 obesity prevention programs 0.309594 potential community leaders 0.271768 community’s readiness 0.301394 community service activities 0.242965 population-level obesity prevalence 0.273533 obesity prevention decision 0.262908 South Omaha 0.811044 obesity prevention 0.690342 quantitative readiness score 0.248567 youth advocacy 0.822561	Latino health movement 0.352183 P. Community readiness 0.304113 public health 0.304151 childhood obesity prevention 0.318467 community readiness model 0.466194 advocacy program development 0.279648 community readiness 0.612827 south omaha community 0.608589 childhood obesity rates 0.380266 South High faculty 0.250191 readiness model training 0.242556 community 0.762708 community youth 0.280334 Omaha South High 0.274882 youth advocacy effort 0.261128 childhood obesity 0.967306 Omaha Community Care 0.357031 UNMC study personnel 0.248512 community leader interviewees 0.244669 Background Childhood obesity 0.31855 Community Care Council 0.307342 childhood obesity program 0.291065 youth advocates 0.31432	CLICK HERE
8289	Centers for Disease Control and Prevention	Html	en	HIV Infection Among Heterosexuals at Increased Risk - UnitedStates, 2010	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.	National HIV/AIDS Strategy 0.32024 new HIV infections 0.388383 metropolitan statistical areas 0.386995 HIV prevention 0.423882 high school education 0.529248 anonymous HIV testing 0.399562 current HIV prevention 0.378596 HIV infections 0.392217 undiagnosed HIV infection 0.392808 HIV risk behaviors 0.380021 Unweighted HIV prevalence 0.428357 HIV testing behaviors 0.40239 low-ses heterosexuals 0.35623 HIV prevention services 0.396466 persons 0.330096 HIV testing results 0.421675 NHBS HIV test 0.43321 low socioeconomic status 0.389248 recent HIV test 0.47734 United States 0.378274 HIV prevalence 0.569604 high AIDS prevalence 0.330842 low SES 0.392732 HIV infection status 0.396226 crack cocaine 0.338521	previous positive HIV 0.896167 HIV transmission 0.357975 positive HIV test 0.878365 participants 0.324919 HIV Behavioral Surveillance 0.583046 New York 0.368491 HIV test result 0.735873 HIV incidence 0.354513 HIV test 0.887799 high prevalence 0.361116 urban areas 0.31918 National HIV Behavioral 0.583815 exchange sex partner 0.413789 overall HIV prevalence 0.448242 HIV care 0.356629 NHBS HIV testing 0.426772 HIV 0.922488 HIV prevention interventions 0.38287 HIV test results 0.450138 HIV stigma 0.356623 HIV testing 0.635874 NHBS monitors HIV 0.458213 previous HIV test 0.398394 HIV infection 0.514024	CLICK HERE
8639	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - In Memorial, Samuel C. Bowen, M.D.	In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss.	influenza 0.44001 nose 0.438884 Tazewell County 0.585924 list Skip 0.780257 Harry Lee Thompson 0.676154 distinction 0.439893 Chicago 0.438824 Irene Bowen Wendell 0.881648 page options Skip 0.929852 Doctor 0.424401 navigation Skip 0.783126	flu 0.435397 Dr. Bowen 0.757521 Maiden Spring Homestead 0.725069 Virginia Medical College 0.684312 throat surgeon 0.585859 Samuel Cecil Bowen 0.84961 Storyteller 0.439796 ear 0.434025 Palmer House Hotel 0.683986 nephew 0.442406 Prominent eye 0.574348	CLICK HERE
10317	Centers for Disease Control and Prevention	Html	en	HAN Archive - 00345 - Nationwide Shortage of Tuberculin Skin Test Antigens	Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC).	50-dose vials 0.424584 PPD tuberculin product 0.544232 occupational health 0.516313 public health authorities 0.520554 TB contact investigations 0.586615 occupational health authorities 0.504557 tuberculosis infection 0.825224 Mycobacterium tuberculosis infection 0.800805 test results 0.441777 routine serial TSTs 0.505218 tuberculin products 0.434473 tuberculin skin tests 0.562942 Allocate TSTs 0.423412 Substitute IGRA blood 0.646039 public health officials 0.537669 interferon-γ release assay 0.511076 blood specimens 0.431946 United States Food 0.522668 M. tuberculosis infection 0.625581 IGRA blood tests 0.934345 CDC Health Alert 0.663833 TB exposure 0.485208 Respir Crit Care 0.491855 United States 0.637417	immunological methods 0.422128 interferon gamma release 0.489824 similar results 0.42818 infection control 0.452788 enhances health decisions 0.504629 critical health issues 0.510191 IGRA blood 0.962825 TST results 0.464712 commercial IGRA blood 0.643264 public health 0.622327 TB infection 0.52137 routine serial testing 0.499178 IGRA blood test 0.945625 ) disease. 0.573541 Sanofi Pasteur Limited 0.538975 TB cases 0.506349 tuberculin skin test 0.696626 American Thoracic Society 0.486022 specific laboratory services 0.499851 Substitute APLISOL® 0.423464 Acute local shortages 0.538173 latent tuberculosis infection 0.589023 TB diagnosis 0.507447 10-dose vials 0.424406	CLICK HERE
10328	Centers for Disease Control and Prevention	Html	en	HAN Archive - 00342'Health Alert Network (HAN)	Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC).	CDC 0.783568 fungal illness 0.548297 symptomatic area 0.580043 epidural abscesses 0.530664 persistent baseline pain 0.607169 CDC’s HAN 0.574668 Health Alert Network 0.804668 subsequent patient outreach 0.587943 Contaminated Steroid Products 0.579988 fungal infection 0.866703 clinicians 0.565545 NECC steroid medications 0.609218 steroid injections 0.528881 patients 0.950707 paraspinal infections 0.738348 public health partners 0.600321 epidural abscess 0.625993 mild clinical presentation 0.594703 methylprednisolone acetate 0.839868 recent cases 0.520453 prior negative evaluation 0.567333 repeat MRI studies 0.747531 New England Compounding 0.621299 paraspinal injections 0.543743	new cases 0.592604 fungal meningitis 0.649734 prolonged incubation period 0.778426 CDC Health Alert 0.698845 baseline symptoms 0.721221 magnetic resonance imaging 0.59687 contaminated methylprednisolone acetate 0.63323 initially normal imaging 0.58009 abnormal MRI findings 0.63938 new reports 0.52611 predominant clinical syndrome 0.600282 enhances health decisions 0.576161 critical health issues 0.581987 mg/ml Injection 0.674715 paraspinal injection 0.804972 minimal symptoms 0.527319 local health departments 0.595364 fungal disease 0.552842 http://emergency.cdc.gov/HAN/han00338.asp), MRI testing 0.642912 fungal infections 0.790975 newly identified case-patients 0.587419 Parameningeal Infections Associated 0.612744 different patients 0.550084 baseline chronic pain 0.765797	CLICK HERE
10417	Centers for Disease Control and Prevention	Html	en	Know the Signs and Symptoms of a Stroke Fact Sheet'Data & Statistics'DHDSP'CDC	null	prevention activities 0.497881 previous stroke 0.783411 stroke cost 0.758689 brain cells 0.510492 permanent disability 0.514469 ethnic groups 0.50453 publication 0.416583 state health departments 0.577202 High blood pressure 0.60495 Geographic Disparities 0.518583 oxygen 0.419234 deaths 0.419765 ischemic type 0.553722 CDC supports— 0.502852 health professionals 0.498544 blood vessel bursts 0.629959 Americans 0.415777 heart attack increase 0.599597 cerebrovascular accident 0.527882 American Heart Association 0.768229 symptoms 0.4167 state maps 0.499983 chances 0.422998 tailor prevention policies 0.585046 county–level stroke death 0.835708	stroke networks 0.795801 programs 0.416243 33 billion 0.507337 greatest burden 0.502214 United States 0.764115 hemorrhagic stroke 0.827281 largest U.S. 0.500838 United Sates 0.525822 smoking 0.415878 timely treatment 0.504444 extensive series 0.501463 ischemic stroke 0.848573 strokes 0.425233 advocacy strategies 0.499043 rates 0.416487 impairments 0.423926 stroke 0.957739 people 0.434826 blood supply 0.522176 partners 0.416216 Stroke Mortality 0.739917 risk 0.416726 information 0.416315 recurrent attacks 0.516777	CLICK HERE