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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5573	Centers for Disease Control and Prevention	Html	en	Phenyl glycidyl ether - NIOSH Pocket Guide to Chemical Hazards	null	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
6482	Centers for Disease Control and Prevention	Html	en	A statewide observational assessment of the pedestrian and cycling environment in Hawaii, 2010	Our statewide study was undertaken to assess how accessible and friendly Hawaii roads are to walking and bicycling.	study 0.454301 low-capacity roads 0.945795 United States 0.461402 pedestrian support 0.446648 randomly selected road 0.425163 friendly Hawaii roads 0.522129 pedestrian signals 0.560418 Transportation Equity Act 0.477192 Environmental Systems Research 0.468697 Pedestrian Environmental Data 0.540108 Complete Streets 0.572762 SD 0.540317 Systems Research Institute 0.470951 policy changes 0.429424 high-capacity roads 0.755037 road segments 0.656398 pedestrian traffic 0.502917 active transportation 0.56121 pedestrian accommodations 0.542954 state 0.469031 bicycle accommodations 0.483591 single-family houses 0.451307 pedestrian crossing aids 0.490566	office buildings 0.453035 Safe Routes 0.462638 Hawaii Geographic Information 0.425554 street segments 0.61681 Honolulu County 0.553612 interrater reliability 0.745682 Hawaii 0.626779 pedestrians 0.529489 Kauai 0.461485 Bicycling facilities 0.422198 pedestrian access 0.460789 traffic control devices 0.423635 physical activity 0.449909 major roads maps 0.475356 industrial buildings 0.511228 Pedestrian Environment Data 0.518496 apartment complexes 0.512381 High-capacity road segments 0.486138 bicycling environment 0.483388 bicycling infrastructure 0.654772 bicycle traffic 0.444827 pedestrian paddles 0.493932 major road segment 0.451645	CLICK HERE
8782	Centers for Disease Control and Prevention	Html	en	Microbes in Pool Filter Backwash as Evidence of the Need forImproved Swimmer Hygiene - Metro-Atlanta, Georgia, 2012	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.	free chlorine 0.50787 saltwater-generated free chlorine 0.308956 recreational water illness 0.218119 acute gastrointestinal illness 0.286469 pools 0.368552 local environmental health 0.411306 metro-Atlanta public pools 0.339254 aquatics staff 0.255789 E. coli 0.907575 P. aeruginosa 0.666101 pool filter backwash 0.266099 P. aeruginosa detection 0.207557 recreational water 0.491342 Cryptosporidium spp. 0.292077	public health standards 0.481954 ultraviolet light disinfection 0.204283 pre-swim shower 0.220069 filter backwash samples 0.806742 swimmers 0.26621 local public health 0.21061 maintain disinfectant level 0.20225 RWI outbreaks 0.25685 disinfectant level 0.460706 traditional chlorine products 0.331726 recreational water venues 0.234315 environmental health specialists 0.507855 pathogenic toxin–producing E. 0.208757	CLICK HERE
9403	Centers for Disease Control and Prevention	Html	es	Mortalidad de indígenas urbanos de Canadá, 1991-2001.	null	Naciones Originarias 0.950724 National Aboriginal Health 0.384625 Statistics Canada record 0.336573 Health Rep 0.450829 Sin embargo 0.447212 urban aboriginal 0.410662 Preventing Chronic Disease 0.343978 Health Officer Annual 0.333046 aboriginal populations 0.371006 Aboriginal Health Organization 0.386635 health research projects 0.334525 health research discussion 0.333508 Wilkins R 0.391833 Young TK 0.383809 Health Organization 0.412594 World Health Organization 0.366055 Health Canada 0.349893 indígenas inuit 0.413728 zonas urbanas Ã?reas 0.359753 Services Canada 0.342994 First Nations 0.42742 Statistics Canada 0.728191 Columbia Provincial Health 0.332891 indígenas naciones originarias 0.415008 Aboriginal health research 0.397876	Health Council 0.350083 Division Statistics Canada 0.334066 Peters EJ 0.333076 indígenas residentes 0.838789 Public Health 0.447192 Not strangers 0.339388 Aboriginal peoples survey 0.333668 Health Stat Q 0.332832 Tjepkema M 0.364511 health regions with 0.333135 Policy Research Initiative 0.367684 Statistics Canada Coverage 0.338594 aparato circulatorio 0.582267 Columbia Británica 0.333496 aboriginal health 0.602704 elevada mortalidad 0.338705 Newhouse D 0.357344 aboriginal canada 0.343136 indígena única —y 0.343787 chronic diseases 0.368022 Asuntos Indígenas 0.428891 Related Health Problems 0.332684 Provincial Health Officer 0.364843 Health Information 0.355368	CLICK HERE
10686	Centers for Disease Control and Prevention	Html	en	Short and Extended Messages'Suicide Bombs' Communicating in the First Hours	The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency.	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
11152	Centers for Disease Control and Prevention	Html	en	Key Findings: Differences in Major Birth Defects | Birth Defects | NCBDDD | CDC	null	North Carolina 0.431 Marengo LK 0.431788 spina bifida 0.433654 Asian Indians 0.431843 National Birth Defects 0.552541 time period 0.430707 ethnic groups 0.526506 comprehensive study 0.435156 major birth defects 0.592502 certain birth defects 0.543528 state tracking systems 0.451936 Defects Prevention Network 0.515901 largest study 0.441525 Canfield MA 0.430648 Flood TJ 0.429246 significantly higher occurrences 0.468478 new study 0.441111 Olney RS 0.430901 substantial variation 0.432475 American Journal 0.462816 Alverson CJ 0.431758 american indians/alaska natives 0.513407 Defects Prevention Study 0.524053 wide range 0.429798 population-based birth defects 0.543389	Public Health 0.434824 United States 0.51646 study area 0.453096 Evaluate Pregnancy exposures 0.453931 Borger CL 0.431108 Birth Defects Research 0.530845 state-based birth defects 0.560825 live birth 0.44348 different rates 0.432766 CDC funds 0.43342 non-Hispanic whites 0.478791 complete picture 0.431366 New York 0.430349 Birth Defects Study 0.535403 relatively high occurrence 0.464029 Asian subgroups 0.43151 Population-based means 0.43427 Hispanic subgroups 0.431468 birth defects 0.900741 Birth Defects Prevention 0.552513 significantly lower occurrence 0.468677 ethnic variation 0.436521 live U.S. births 0.461322 Kirby RS 0.430373	CLICK HERE
11563	Centers for Disease Control and Prevention	Html	en	Prevent Heat Illness with Acclimatization | CDC Features	Make sure workers drink enough liquids, and give them rest breaks. You should also acclimatize your workers by gradually increasing the time they work in hot environments.	possible heat-related illnesses 0.605423 hot environment 0.510793 heat intolerance 0.488782 appropriate acclimatization 0.480455 heat-related illness prevention 0.690926 self-monitoring options 0.469018 emergency response procedures 0.510379 moderate work activities 0.514898 New workers 0.477743 heat stress 0.717223 heat-related illnesses 0.903428 Work practice recommendations 0.52929 weather service forecasts 0.51119 illness prevention program 0.61724 standard operating procedures 0.517064 Increase air velocity 0.512595 appropriate rest breaks 0.512253 excess heat 0.479854 heat-absorbing shielding 0.465008 per­sonal protective equipment 0.507611 Train workers 0.48101 usual duration 0.503881 rest breaks 0.513257 work practice controls 0.540392 lighter work 0.470658	hot environments 0.576916 hot work 0.486164 increase recovery time 0.513573 work area 0.47132 adequate fluid intake 0.503336 heat discomfort 0.482127 unacclimatized workers 0.476841 Recommended Standard 0.520974 occupational exposure 0.57398 fluid intake 0.514167 hot weather advisories 0.514754 indoor workers 0.494313 workers 0.602839 heat load 0.483984 heat stress training 0.542033 heat alert program 0.539652 occupational heat stress 0.540923 heat wave 0.485627 frequent rest periods 0.504604 workplace heat stress 0.553296 excessive heat 0.480758 in-depth heat-related illness 0.601534 emergency medical ser­vices 0.508678 Download Heat Safety 0.532918	CLICK HERE
12185	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence of Sleep Duration onan Average School Night Among 4 Nationally RepresentativeSuccessive Samples of American High School Students, 2007-2013 -CDC	Consistency, quality, and duration of sleep are important determinants of health. We describe sleep patterns among demographically defined subgroups from the Youth Risk Behavior Surveillance System reported in 4 successive biennial representative samples of American high school students (2007 to 2013). Across the 4 waves of data collection, 6.2% to 7.7% of females and 8.0% to 9.4% of males reported obtaining 9 or more hours of sleep. Insufficient duration of sleep is pervasive among American high school students. Despite substantive public health implications, intervention research on this topic has received little attention.	Hispanic males 0.580318 significantly higher percentage 0.609875 student response rate 0.493366 high school populations 0.50444 substantive public health 0.509258 overall response rate 0.489399 American high school 0.925118 white males 0.607549 larger percentage 0.482466 Youth Risk Behavior 0.601964 12th graders 0.541131 intervention research 0.498435 sleep patterns 0.652719 William Paterson University 0.579381 higher percentage 0.63022 response rate 0.524305 disease risk factors 0.482093 black males 0.581257 especially black females 0.555894 black females 0.730279 school night 0.603788 Columbia University 0.532622 significantly greater percentage 0.533506 school response rate 0.509808 sleep benefits memory 0.603015	Teachers College 0.500597 New York University 0.573789 white females 0.617838 Hispanic females 0.562581 demographically defined subgroups 0.613749 significantly lower percentage 0.530409 institutional review boards 0.493116 sleep 0.919973 biennial representative samples 0.500563 successive biennial samples 0.497236 newly encoded memory 0.482884 sleep duration item 0.644347 average school night 0.584907 national population proportions 0.495978 Charles E. Basch 0.487093 important determinants 0.51514 little attention 0.500802 New York 0.660896 recent research 0.498894 high school students 0.989075 data collection 0.5576 Corey H. Basch 0.48528 York University Langone 0.504676 Risk Behavior Surveillance 0.598312	CLICK HERE
15666	Centers for Disease Control and Prevention	Html	en	Update on Vaccine-Derived Polioviruses - Worldwide, January2015-May 2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	paralysis onset 0.422571 trivalent OPV 0.449336 corresponding OPV strain 0.460877 oral poliovirus vaccine 0.602124 recent positive sample 0.45368 routine vaccination coverage 0.500588 immunodeficient source patient 0.432607 VP1 region 0.471052 AFP 0.54664 polio virus type 0.439867 Polio Laboratory Network 0.542724 wild poliovirus type 0.508608 VP1 substitutions 0.457027 AFP cases 0.545845 divergent vaccine-derived polioviruses 0.450514 cVDPV outbreaks 0.608337 OPV 0.541329 reporting period 0.490212 wild polioviruses 0.430514 VP1 nucleotide sequences 0.509788 VP1 nucleotide differences 0.484379 low routine vaccination 0.448598 genetic divergence 0.432809	Global Polio Eradication 0.622126 sensitive AFP surveillance 0.432008 Polio Eradication Initiative 0.617511 World Health Organization 0.647275 environmental samples 0.47111 new cVDPV outbreaks 0.516254 highly divergent isolates 0.430345 new iVDPV infections 0.446226 VP1 divergence 0.922704 low OPV coverage 0.423272 AFP case 0.535132 new cVDPV2 emergence 0.463101 acute flaccid paralysis 0.449876 vaccine-derived polioviruses 0.516307 AFP patient 0.428274 VP1 sequences 0.468684 bivalent OPV 0.449303 newly identified persons 0.481178 Global Polio Laboratory 0.544661 Regional Office 0.465404 parental OPV strains 0.484955 AFP clinical samples 0.445701 polio eradication efforts 0.432592	CLICK HERE
16395	Centers for Disease Control and Prevention	Html	en	Precision Medicine: What Does it Mean for Your Health? | CDC Eat	Precision medicine, sometimes called personalized medicine, is an approach for protecting health and treating disease that takes into account a person’s genes, behaviors, and environment. Interventions are tailored to individuals or groups, rather than using a one-size-fits-all approach in which everyone receives the same care. But what does this mean and how can precision medicine protect your health?	certain diseases 0.245925 certain newborn screening 0.423431 disease outbreaks 0.205732 Tracking Infectious Diseases 0.316932 Tailoring Prevention 0.206255 better track disease 0.359397 heart disease 0.363649 cystic fibrosis 0.325495 familial hypercholesterolemia 0.206601 certain medications 0.248502 colon) cancer. 0.344532 one-size-fits-all approach 0.235897 patient sick 0.203761	precision medicine approach 0.63747 unique disease risks 0.406021 Certain treatments 0.220002 disease 0.59895 gene variants 0.312321 certain genetic changes 0.367279 public health officials 0.336674 people 0.250652 certain medical conditions 0.404027 BRCA2 mutation 0.342255 family health history 0.823866 family history 0.200364	CLICK HERE