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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
4754	Centers for Disease Control and Prevention	Html	en	School and student characteristics associated with screen-time sedentary behavior among students in grades 5-8, Ontario, Canada, 2007-2008.	null	school-level differences 0.383581 data 0.399668 school programs 0.406616 secondary school students 0.386208 research 0.402696 screen-time sedentary behavior 0.703901 school 0.681552 PA levels 0.397846 Canadian elementary school 0.377405 student characteristics 0.497225 body mass index 0.389825 sedentary pursuits 0.384487 student PA questionnaire 0.402683 individual student characteristics 0.396324 schools 0.433652 School Health Environment 0.386034 standard deviation 0.390196 time sedentary behavior 0.43061 elementary school students 0.423667 school environment 0.422693 sedentary lifestyles 0.388391 healthy physical environment 0.378503 students 0.526837 between-school random variation 0.380515	significant school characteristics 0.385584 significant between-school 0.421632 school characteristics 0.443028 school capacity 0.395164 previous research 0.393361 moderate screen time 0.696523 sedentary behavior 0.838675 public health 0.405619 multilevel logistic regression 0.395302 high screen time 0.842911 elementary schools 0.416571 screen-time sedentary behaviors 0.410755 school board ethics 0.377161 elementary school version 0.378361 physical activity 0.499473 PA 0.552494 significant between-school variation 0.375133 student-level characteristics 0.420262 parental encouragement 0.398134 screen time 0.968139 sedentary behaviors 0.432367 Healthy School 0.379679 low screen time 0.583317 average screen time 0.391839	CLICK HERE
6395	Centers for Disease Control and Prevention	Html	en	Unhealthy Air Quality --- United States, 2006--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.	fine particulate matter 0.580868 high school education 0.531821 ambient air quality 0.580662 Dockery DW 0.557604 multi-hour ozone exposure 0.587408 24-hour PM2.5 standard 0.652409 medium metropolitan counties 0.533124 Dominici F. Ozone 0.579818 highest income population 0.539782 Health Effects Institute 0.6155 ozone-related health effects 0.53559 air quality 0.665767 Pope CA 0.612496 8-hour ozone nonattainment 0.75509 ozone concentration 0.560244 24-hour PM2.5 concentrations 0.612403 air quality standards 0.569035 ozone production 0.608423 particulate air pollution 0.546072 small metropolitan counties 0.53236 nonattainment areas 0.543411 health effects 0.820242 maximum 8-hour ozone 0.617149 air pollutants 0.567152 ppm ozone 0.54879	United States 0.55326 well-characterized air pollutants 0.533155 ozone exposure 0.634055 particulate matter 0.60979 adverse health effects 0.561168 ozone nonattainment county 0.666535 8-hour ozone standard 0.664359 gaseous air pollutants 0.5314 PM2.5 nonattainment county 0.632208 ozone nonattainment counties 0.946966 Low-level ozone exposure 0.584796 fringe metropolitan counties 0.531201 Ground-level ozone 0.581332 ozone levels 0.56836 ambient ozone 0.544249 urban areas 0.591239 U.S. population 0.545504 PM2.5 nonattainment counties 0.700601 Environ Health Perspect 0.618552 Environmental ozone effects 0.597914 et al 0.794489 greatest percentage 0.539335 metropolitan counties 0.548956 air pollution 0.727588	CLICK HERE
6501	Centers for Disease Control and Prevention	Html	en	South Africa Map - Yellow Fever	Information on Yellow Fever. Provided by the U.S. Centers for Disease Control and Prevention.	ongoing outbreak 0.237418 World Health Organization 0.287974 yellow fever 0.966818 recent updates 0.216979 Download South America 0.29736 Map pdf version 0.289211 current map 0.20586 eastern Brazil 0.232027 Brazil travel notice 0.324093	yellow fever outbreak 0.606157 Working Group 0.219684 2These countries 0.203088 animal reservoirs 0.211102 Geographic Risk 0.217532 risk areas 0.210248 yellow fever transmission 0.662207 health website 0.213404	CLICK HERE
7837	Centers for Disease Control and Prevention	Html	en	Health Marketing Basics	Health Marketing Basics - Gateway to Health Communication - CDC	diverse populations 0.558384 successful marketing mix 0.641698 health information 0.577622 new drink 0.599672 marketing plans 0.587461 clear target market 0.673982 major grocery store 0.605308 social needs 0.563742 end user 0.563406 current tests 0.558091 state health departments 0.613159 traditional marketing 0.678826 non-monetary price 0.559916 customer needs 0.558693 new testing kits 0.611546 marketing plan 0.673368 diabetes example 0.569786 marketing mix elements 0.645518 fundamental aspects 0.615823 new product 0.601453 public health service 0.629704 effective target market 0.68156 exchange 0.566004 marketing resources 0.584661 marketing process 0.633112	commercial product 0.572937 traditional marketing theories 0.654111 target markets 0.677627 target market 0.945916 target health issue 0.664891 ‘target market 0.584267 example 0.610519 effective marketing plan 0.633374 science based strategies 0.616933 testing kits 0.611749 local health departments 0.612113 product 0.61472 marketing mix 0.662531 medical journals 0.557891 different markets 0.602942 specific market 0.583853 people 0.563886 fundamental marketing elements 0.642312 marketing 0.813673 larger market 0.578029 health marketing 0.781687 HIV testing kit 0.606039 marketing efforts 0.579444 effective ‘marketing mix 0.616967	CLICK HERE
9064	Centers for Disease Control and Prevention	Html	en	Climate Change and Transportation - Health Communication	Climate Change and Transportation - Gateway to Health Communication - CDC	global concentrations 0.482932 atmosphere 0.444614 motor vehicle travel 0.564754 land use patterns 0.482338 streets 0.437024 Carbon dioxide 0.482804 couple times 0.474271 transportation choices 0.494289 vehicle miles 0.483145 atmospheric concentrations 0.481344 land development techniques 0.534113 fewer GHGs 0.478959 climate change 0.704016 public transportation systems 0.567301 sport utility vehicles 0.564716 necessary component 0.478049 building developer 0.469928 large-scale emitters 0.483397 fuel intensive forms 0.53185 private vehicles 0.529506 public transportation 0.785196 office buildings 0.471584 harmful climate change 0.558814 elementary school 0.47058 largest sources 0.488798	transportation emissions 0.588901 rate GHG emissions 0.671313 best ways 0.474802 transportation infrastructure 0.496515 unique community 0.476257 United States 0.568806 GHG emissions 0.944286 largest transportation systems 0.565404 new developments 0.473343 community’s residents 0.477028 pickup trucks 0.488551 travel mode 0.476358 greenhouse gas 0.572364 available transit services 0.530254 severe impacts 0.478762 walking 0.431537 primary greenhouse gas 0.549827 transportation sector 0.503416 passenger cars 0.486881 urban areas 0.47329 people 0.456002 smart growth 0.527767 particular area 0.482849 transportation-related GHG emissions 0.667666	CLICK HERE
10608	Centers for Disease Control and Prevention	Html	en	New CDC study finds dramatic increase in e-cigarette-related calls to poison centers | Press Release	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	Mortality Weekly Report 0.584146 people age 0.387247 M.D. 0.260873 Tobacco Survey 0.360598 CDC study 0.425015 e-cigarette companies 0.390929 conventional cigarettes 0.962104 time period 0.4043 recent National Youth 0.506428 potential health risk 0.5058 CDC’s Office 0.379969 U.S. Territories 0.372619 eye irritation 0.384759 young children 0.55838 Health care providers 0.510624 CDC Director Tom 0.545865 red flag 0.378996 e-cigarette liquids 0.740123 nausea 0.235441 future poisonings 0.450836 e-cigarette calls 0.810299 general public need 0.499061 monthly poison center 0.645243 e-cigarettes.  Poison centers 0.608041 liquid nicotine 0.437099	fruit flavors 0.379752 rapid increase 0.358213 liquid containing nicotine 0.592687 adverse health effect 0.549722 proportion 0.237487 e-cigarette related poisonings 0.616495 common adverse health 0.552073 Tim McAfee 0.364088 percent 0.364845 adverse health effects 0.819974 small children 0.381995 nicotine liquid 0.422795 M.P.H. 0.260845 total number 0.364027 public health concern 0.51114 poison centers 0.946388 50 states 0.374375 immediate adverse health 0.535248 poisoning cases 0.38477 similar increase 0.396273 Morbidity 0.242316 cigarette exposure 0.382338 inhalation 0.237917 Frieden 0.243457	CLICK HERE
11278	Centers for Disease Control and Prevention	Html	en	Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Rates of Work-related Injuries and Illnesses Treated in Hospital Emergency Departments by Year, 15-17 Year-Olds, United States	Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Rates of Work-related Injuries and Illnesses Treated in Hospital Emergency Departments by Year, 15-17 Year-Olds, United States	NIOSH Work Supplement 0.593993 highest rate 0.465671 CDC 0.339661 Download data 0.450021 United States 0.788558 Health 0.332095 Illnesses Treated 0.821976 rates 0.423192 Charts 0.36089 work-related nonfatal injuries 0.824693 fulltime equivalents 0.642245 graph 0.331447	Hospital Emergency Departments 0.923754 time period 0.463544 Young Worker Employment 0.951672 Excel 0.326796 Young Worker Safety 0.681002 olds 0.336319 Year-Olds 0.429788 Download image file 0.577824 Work-related Injuries 0.835497 lowest rate 0.470663 Electronic Injury Surveillance 0.576584	CLICK HERE
11348	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease GIS Snapshot | Comparing Apples to Oranges: Comparative Case Study of 2 Produce Carts in Chicago - CDC	In June 2012, the Chicago Department of Public Health passed ordinances to legalize mobile produce vending throughout the city, provided at least 50% of produce carts operate in designated underserved areas. In response, the Neighbor Carts program emerged to promote the opportunity for economic success and healthful food access through an unconventional retail structure.	underserved zones 0.744767 Northwestern University 0.756667 larger evaluation 0.691334 underserved zone 0.907086 local business support 0.669196 Lake Shore Dr 0.657761 Future evaluation 0.606672 centrally located Streeterville 0.712435 Chicago Department 0.628238 Bessie Feinberg Foundation 0.66745 customer intercept survey 0.713991 0.5-mile walking radius 0.670826 Neighbor Carts program 0.851085 customer volume 0.612176 produce carts 0.887466 unique consumer trends 0.665328 produce vending programs 0.692644 code data 0.609032 broad service area 0.682861 customer age 0.617372 geo-demographic information 0.60793 over-arching program goals 0.686265 Neighbor Capital 0.60662 individual cart sustainability 0.732153 closer proximity 0.606431	mobile produce carts 0.863758 Public Health 0.689453 geographic information systems 0.682708 unconventional retail structure 0.69007 University institutional review 0.683703 L. M. Anderson 0.675872 Chicago neighborhoods 0.638161 different evaluation metrics 0.680402 public transportation lines 0.672633 customer surveys 0.623345 Nutrition Assistance Program 0.697335 program effectiveness 0.803753 city ordinances 0.610403 recording self-reported customer 0.737965 poor nutritional intake 0.66124 program improvement 0.615984 maps highlight customer 0.712193 service area 0.905189 Maps. Customer utilization 0.731522 economic success 0.607404 cart success 0.663269 Public Health Service 0.684984 healthful food access 0.86896 North Lawndale neighborhood 0.714858	CLICK HERE
13160	Centers for Disease Control and Prevention	Html	en	CDC in Brief 2015 infographics	Centers for Disease Control and Prevention, CDC in Brief Infographic	FL hospitals 0.724306 vaccine manufacturer 0.743741 CDC 0.984939 mandatory reportable condition 0.863214 musculoskeletal disorder 0.729247 nightmare bacteria 0.736652 carpal tunnel syndrome 0.841277 similar infections 0.73451 medical device 0.732554 Work-related Hazards 0.724324 CA health officials 0.877963 wrist symptoms 0.73306 direct medical costs 0.870336 Disease detectives 0.7571 clinical groups 0.737301 traumatic injury prevention 0.836012 dengue virus 0.727777 FL investigators 0.728613 public health officials 0.85034 better address 0.724291 investigational new drug 0.857491 Washington State 0.752015 Energy Employees Occupational 0.819931 Ensuring Laboratory Excellence 0.830183 mandatory Vaccines 0.738304	Center Health Program 0.850031 ongoing outbreak 0.777943 specific procedure 0.732324 South Carolina 0.734727 Program Support 0.72611 deadly form 0.744671 pet bearded dragons 0.871256 Compensation Act resources 0.824203 elevated levels 0.736784 college students 0.735328 lead smelting plant 0.85362 WA Health Dept. 0.873302 environmental samples 0.738513 similarly contaminated communities 0.853884 poultry processing plant 0.83605 environmental cleanup 0.737385 meningococcal disease vaccine 0.90331 ineffective cleaning protocols 0.860452 neonatal abstinence syndrome 0.838228 Global Disease Protection 0.84123 Salmonella costs 0.764948 Children Program 0.732825 TX Health Dept. 0.856455 blood lead levels 0.84746	CLICK HERE
16346	Centers for Disease Control and Prevention	Html	en	FastStats - Home Health Care	null	National Study 0.588784 PDF 0.364405 Long-Term Care Providers 0.978813 United States 0.592335	MB 0.407128 Data 0.366435 Services Users 0.594703 Source 0.368194	CLICK HERE