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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
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
7103	Centers for Disease Control and Prevention	Html	en	CDC - Preventing Chronic Disease: Volume 9, 2012:11_0312	The objective of this study was to examine whether the proportion of low-income students at a school was related to school absenteeism due to asthma.	demographic characteristics 0.351247 prescription asthma medications 0.555155 poor building conditions 0.328302 complex survey design 0.303876 school-level interventions 0.451723 asthma severity 0.515627 health insurance status 0.481307 common asthma trigger 0.395725 school 0.724522 children 0.443118 severe asthma 0.381231 asthma severity indicators 0.397077 Potential interventions 0.294738 daily prescription asthma 0.391609 high concentrations 0.390708 Los Angeles School 0.290347 school absenteeism 0.580024 Health Policy Research 0.294585 appropriate asthma management 0.383929 asthma-related school absences 0.357519 asthma 0.936479 Health Interview Survey 0.320298 California 0.407335 reduced-price meal program 0.369666	low-income families 0.292907 schools 0.464091 asthma outcome data 0.384856 school-based asthma education 0.519199 school absences 0.446521 frequent asthma symptoms 0.594763 proportion 0.291379 low-income students 0.857521 outdoor air pollution 0.360167 California Health Interview 0.329423 school absence rate 0.297476 public school 0.305489 school-based asthma program 0.392084 low-income school children 0.353024 meal program 0.415691 family income 0.589704 federal poverty guidelines 0.459284 asthma indicators 0.374523 outdoor asthma triggers 0.387289 Introduction Asthma 0.40035 School Health Program 0.295014 disease management 0.29189 prescription asthma medication 0.390996 Los Angeles 0.347457	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
9362	Centers for Disease Control and Prevention	Html	es	Inicio del tabaquismo en adultos jóvenes en los Estados Unidos y Canadá, 1998-2010: Una revisión sistemática	CDC - Wide Page example description goes here	compañías tabacaleras 0.321392 datos artículos 0.316024 adultos jóvenes 0.954906	época universitaria 0.319366 Estados Unidos 0.448287	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
12168	Centers for Disease Control and Prevention	Html	en	Meningitis | Lab Manual | Storage and Shipping of Neisseria | CDC	Primary Culture and Presumptive Identification Laboratory Methods.	Dangerous Goods Regulations 0.45526 lyophilization 0.43388 sterile Pasteur pipette 0.441776 silica gel package 0.683069 disposable plastic loop 0.456483 ml screw-cap tube 0.468591 watertight primary container 0.442969 infectious specimens 0.449486 pure isolate 0.497698 S. pneumoniae 0.702053 Dorset Transport 0.6635 Lab ID 0.563683 pure overnight growth 0.435536 ml 0.527321 Customer Service Representative 0.423869 sterile polyester-tipped swab 0.470301 long-term storage 0.464702 shipping container 0.434761 dry ice 0.839943 telephone number 0.443511 international air transport 0.553486 chocolate agar slant 0.491638 diagnostic/patient specimens 0.477993 secondary packaging 0.49653 diagnostic specimens 0.561812	cell suspension 0.507738 Dorset Transport medium 0.614349 chocolate agar slants 0.702033 H. influenzae 0.712327 room temperature 0.737906 international regulations 0.461554 storage 0.501029 N. meningitidis 0.496701 silica gel 0.72738 Infectious substance label 0.437842 Air Transport Association 0.51232 H. influenzae specimens 0.424283 outer container 0.436772 IATA regulations 0.464764 infectious substance 0.749446 overnight growth 0.46438 Dorset Transport slant 0.519016 silica gel packages 0.614345 infectious substance Neisseria 0.430794 dangerous goods 0.75982 BAP 0.472411 infectious substances 0.962868 growth 0.47746 shipping infectious substances 0.509244	CLICK HERE
12335	Centers for Disease Control and Prevention	Html	en	Hospitals | Ebola Virus Disease	null	Ebola Virus Infection 0.674156 Interim U.S. Guidance 0.482936 Ebola Questions 0.638441 Africa Ebola Outbreak 0.693887 Confirmed Ebola Patients 0.661801 Previous Outbreak Updates 0.483176 Interfacility Transport Guidance 0.473878 Potential Ebola Virus 0.689037 page options Skip 0.466059 Sierra Leone Vaccine 0.484294 Ebola Treatment Centers 0.720035 Outbreak Preparedness 0.469039 Ebola Patients 0.662096 Emergency Department Guidance 0.474971 Emergency Department Preparedness 0.462439 Disinfecting Hospital Guidance 0.478745 Ebola Epidemic 0.630086 Ebola Assessment Hospitals 0.642761 Virus Exposure Influenza 0.477278 Ebola Diagnosed 0.63051 Tiered Approach Preparing 0.468252 Tiered Approach Hospital 0.464892 U.S.) Settings 0.462445 Ebola PPE 0.647371	U.S. Healthcare Workers 0.467495 Current Ebola Treatment 0.689466 Sierra Leone 0.502426 Search Form Controls 0.511463 Patient Handoff SOP 0.487404 Outbreak Cases 0.465043 Confirmed Ebola Virus 0.665661 West Africa Outbreak 0.49851 Ebola Hemorrhagic Fever 0.675468 Ebola Virus Disease 0.819427 Suspected Ebola Patients 0.641676 Personal Protective Equipment 0.534993 Ebola Survivors Questions 0.653383 Tiered Approach 0.495487 Healthcare Settings Guidance 0.493314 Outbreak Distribution Map 0.482366 Search Controls 0.464649 Handling Untreated Sewage 0.4871 Ebola Transmission 0.615348 Ebola Virus Exposure 0.688538 Interim Guidance 0.4647 Ebola Response Planning 0.649026 Ebola Virus 0.915447 West Africa 0.52652	CLICK HERE
12368	Centers for Disease Control and Prevention	Image	null	Screening for Colorectal Cancer (600W x 1625H)	null			CLICK HERE
13699	Centers for Disease Control and Prevention	Html	en	Frequency of Tobacco Use Among Middle and High SchoolStudents - United States, 2014	Linda J. Neff, PhD1; René A. Arrazola, MPH1; Ralph S.	multiple product users 0.285367 complex survey design 0.264722 control strategies 0.29383 Youth Tobacco Survey 0.400767 RenУЉ A. Arrazola 0.274126 multiple tobacco product 0.509539 tobacco 0.973711 current users 0.420809 dissolvable tobacco 0.353725 high school–aged youths 0.268782 tobacco prevention 0.338619 tobacco product users 0.432404 tobacco product prices 0.375706 tobacco product dependence 0.38018 tobacco products 0.898374 single tobacco product 0.378929 cigar smokers 0.441699 single-product users 0.281079 cigarettes 0.278059 Conrad J. Choiniere 0.27275 U.S. middle school 0.33709 United States 0.270621 adult cigarette smokers 0.296793 Drug Administration 0.274557	smokeless tobacco users 0.741089 adverse health effects 0.273049 middle school 0.466288 tobacco dependence 0.342324 Brian A. King 0.274016 tobacco use prevention 0.377402 Linda J. Neff 0.332544 multiple tobacco products 0.431979 tobacco pipes 0.376228 tobacco product 0.717672 lifelong nicotine addiction 0.271914 middle school students 0.325792 e-cigarette users 0.360281 cigars 0.284504 e-cigarettes users 0.277045 high school students 0.724144 cigarette smokers 0.488196 tobacco control policies 0.385198 e-cigarettes 0.287984 smokeless tobacco products 0.452787 smokeless tobacco 0.798814 adolescent tobacco users 0.383519 Corinne G. Husten 0.273819 Ralph S. Caraballo 0.273806	CLICK HERE
13939	Centers for Disease Control and Prevention	Html	en	Children | Physical Activity	Children and adolescents should do 60 minutes (1 hour) or more of physical activity each day. Learn more...	formal muscle-strengthening programs 0.377059 muscle strengthening activities 0.40929 structured weight programs 0.372345 vigorous-intensity activity 0.608604 activity 0.920543 jungle gym 0.258271 basketball team practice 0.381836 average child 0.363739 aerobic activity 0.701251 moderate-intensity activity 0.340608 enjoyable ways 0.302604	physical activity 0.754015 bone strengthening activities 0.40489 highest level 0.263482 example 0.205491 Physical Activity Guidelines 0.431217 vigorous-intensity aerobic activity 0.450541 brisk walking 0.286773 Younger children 0.248195 climb trees 0.26124 moderate-intensity aerobic activity 0.657131	CLICK HERE