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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5894	Centers for Disease Control and Prevention	Html	en	Uranium (soluble compounds, as U) - 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
10405	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Relationships Between Housing and Food Insecurity, Frequent Mental Distress, and Insufficient Sleep Among Adults in 12 US States, 2009 - CDC	Housing insecurity and food insecurity may be psychological stressors associated with insufficient sleep. Frequent mental distress may mediate the relationships between these variables. The objective of this study was to examine the relationships between housing insecurity and food insecurity, frequent mental distress, and insufficient sleep.	mental health 0.331448 sleep health 0.292895 Risk Factor Surveillance 0.352378 significantly higher percentage 0.249772 housing instability 0.241981 psychological distress 0.304851 Kalidindi S. Insufficient 0.277658 social determinants 0.259329 sleep duration 0.279732 nutritious meals 0.256341 overcrowded housing 0.246329 mental distress mediates 0.277045 food insecurity 0.927911 housing insecurity 0.836416 Chapman DP 0.247106 World Health Organization 0.242338 frequent sleep insufficiency 0.3129 sleep problems 0.274083 BMC Public Health 0.272233 5-tier health impact 0.242279 insufficient sleep 0.926991 slow-wave sleep 0.26394 respondents 0.272215 optional module 0.245484	significantly greater percentage 0.251377 Behavioral Risk Factor 0.353274 high housing costs 0.248573 poor sleep 0.293987 frequent moves 0.257323 poor housing conditions 0.244613 frequent microarousals 0.258056 insecurity variables 0.323508 South Carolina 0.250824 shows housing insecurity 0.35791 sleep cycle 0.263926 food subsidy programs 0.241852 Introduction Housing insecurity 0.389305 obstructive sleep apnea 0.27344 short sleep duration 0.275503 mental distress status 0.293551 insufficient rest 0.279453 health 0.336107 prolonged mental distress 0.277177 frequent mental distress 0.987403 New Mexico 0.250155 food security 0.242359 logistic regression models 0.250054 social context 0.309818	CLICK HERE
11057	Centers for Disease Control and Prevention	Html	en	Women's Safety and Health Issues at Work: Health Concerns: Bloodborne Diseases - NIOSH Workplace Safety and Health Topic	null	registered nurses 0.487366 exposure rates 0.477314 nursing aides 0.477884 needlestick injuries 0.671697 health issues 0.475494 body fluid exposure 0.530613 control plans 0.503359 sharps injuries 0.644984 hospice nurses 0.527731 health care providers 0.627597 national data set 0.50333 National Electronic Injury 0.496546 practical nurses 0.495579 risk factors 0.552091 personal protective equipment 0.579392 sharps-related safety behavior 0.506181 heavy patient lifting 0.49125 safer medical devices 0.493935 body fluid exposures 0.68712 home care aides 0.608974 Occupational risk factors 0.501996 bloodborne pathogen exposures 0.790384 department-based surveillance study 0.505962 communication channel recall 0.502558 human immunodeficiency virus 0.5112	bloodborne disease 0.529517 occupational blood exposure 0.529002 public health policy 0.510594 United States 0.50367 safety information campaign 0.507767 home health care 0.955063 Prevent Needlestick 0.465452 Health Care Settings 0.548476 bloodborne exposure 0.533637 Stop Sticks campaign 0.499976 home care aide 0.542342 health care workers 0.535193 sharp medical devices 0.492212 work-related bloodborne pathogen 0.565131 home care/hospice work 0.516281 health care nurses 0.821931 high productivity demands 0.48997 bloodborne pathogens exposure 0.606223 correctional healthcare 0.501467 Publication No. 0.505086 home care 0.60904 Bloodborne Pathogens Standard 0.569568 medical devices 0.499092 healthcare workers 0.503846	CLICK HERE
11096	Centers for Disease Control and Prevention	Html	en	Michael Bell, MD | CDC Spokesperson | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	veterinary personnel 0.703091 expert 0.534912 career 0.534684 CDC media briefing 0.913246 veterinary infection control 0.885439 Cherry 0.53117 Dr. Michael Bell 0.926795 hematopoietic stem cell 0.846557 J. F. 0.700926 W. G. 0.687683 antimicrobial resistance 0.724078 Jarvis 0.54179 T. J. 0.686476 Zukerman 0.554742 Scheftel 0.530559 investigating 0.53959 Shelton 0.538074 drug-resistant pathogens 0.846925 Toscano 0.554186 zoonotic disease prevention 0.872776 C. M. 0.695947 American journal 0.683262 Levine 0.540381 healthcare-associated illnesses 0.726565 programs 0.532192	drug-resistant health threats 0.975445 Nichols 0.536415 veterinary standard precautions 0.873479 hospital-acquired infections 0.842065 hospital patients 0.722888 American Veterinary Medical 0.857882 public health veterinarians 0.851212 catheter care 0.697676 bathing practices 0.689489 Hopkins 0.531676 healthcare-associated infections 0.767652 Association 0.530539 J. M. 0.711883 safe medical practices 0.882156 CDC Telebriefing 0.737201 Compendium 0.53391 E. E. 0.697802 B. L. 0.69689 transplant patients 0.679436 needleless device 0.6704 staff 0.5344 S. G. 0.695322 Gram-negative bloodstream infections 0.936708 W. R. 0.685133	CLICK HERE
11117	Centers for Disease Control and Prevention	Html	en	2008 National Report on Biochemical Indicators of Diet and Nutrition - Table 1.5	null	Selenium Serum selenium 0.474444 Page Table 0.508979 Total population 0.46815 Search Form Controls 0.539787 Males 0.512606 Plasma methylmalonic acid 0.973316 conf. interval 0.740657 Urinary equol 0.468699 file 0.497236 Geometric mean 0.735743 small cell size 0.602806 Urinary enterolactone 0.468546 LOD-.060 0.498769 Urinary O-desmethylangolensin 0.468648 Serum 0.524893 u.s. population 0.612461 Nutrition Examination Survey 0.708623 Biochemical Indicators 0.477079 National Report 0.472553 Tweet Share Compartir 0.480974 LOD 0.47241	Urinary enterodiol 0.468597 Mexican Americans 0.520559 greater uncertainty 0.520071 percentiles 0.496991 non-hispanic whites 0.514063 Iodine Urinary iodine 0.467397 Lignans Urinary genistein 0.469718 Fat-Soluble Vitamins 0.464557 page options Skip 0.477276 Search Controls 0.474035 non-hispanic blacks 0.519166 Iron-Status Indicators Serum 0.474842 total U.S. population 0.475128 National Health 0.571775 Compounds Serum folate 0.473698 Urinary daidzein 0.46875 plasma concentrations 0.565529 Trace Elements 0.466021 Serum transferrin saturation 0.477829 Serum vitamin 0.471452 Home Executive Summary 0.466133	CLICK HERE
12819	Centers for Disease Control and Prevention	Html	en	Measles | Measles It Isn't Just a Little Rash Parent Infographic | CDC	null	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
12894	Centers for Disease Control and Prevention	Video	en	Concussion Videos - Dr. Kevin Guskiewicz: Egg Toss	Dr. Kevin Guskiewicz explains what really happens when someone receives a concussion by using the egg toss example.	Egg Toss 0.982438		CLICK HERE
13011	Centers for Disease Control and Prevention	Html	en	Marlene's Biography | Real Stories | Tips From FormerSmokers	Marlene smoked and now has macular degeneration. Her full story and her videos are part of CDC's Tips From Former Smokers campaign.	date 0.425608 high school 0.530164 eyesight 0.475833 monthly injections 0.53848 answers 0.427018 focus 0.428585 type 0.426292 wet AMD 0.566652 drug 0.425618 Marlene 0.997152 AMD 0.569997 sight 0.426498 best chance 0.533611 age-related macular degeneration 0.678857 grandchild 0.42946 eye specialist 0.537245 TV shows 0.544918 crystal ball 0.536483 good friend 0.518241 water 0.426825 macular degeneration 0.790821 vision 0.676495 audio books 0.521615 —an eye disease 0.650932 cigarettes 0.498689	shots 0.425576 big-screen TV 0.522751 cloudy spots 0.55607 sun 0.42693 life 0.453599 cigarette first thing 0.526343 Marlene’s mind 0.696418 smoking 0.626686 eye treatments 0.515223 kitchen 0.428798 central vision 0.635469 black clouds 0.531181 crutch 0.430715 finger 0.427685 people 0.452257 neighbor 0.427499 way 0.456361 help 0.437685 frightening changes 0.546386 vision loss 0.637358 risk 0.426971 gold star 0.526897 time 0.453492 board 0.42874	CLICK HERE
13447	Centers for Disease Control and Prevention	Html	en	Severe Illness from Methyl Bromide Exposure at a CondominiumResort - U.S. Virgin Islands, March 2015	Prathit A. Kulkarni, MD1; Mary Anne Duncan, DVM2; Michelle T. Watters, MD, PhD3; Leah T.	acute methyl bromide 0.591984 methyl bromide 0.925607 condominium resort 0.402277 housing units 0.357695 possible organophosphate toxicity 0.350712 pest control 0.454488 Serum bromide levels 0.459401 family members 0.35667 contact information 0.354385 bromide testing 0.419311 Potentially exposed persons 0.362572 bromide ion values 0.434364 Virgin Islands Department 0.424704 air concentration 0.372337 symptoms 0.362154 persons 0.373111 Environmental Protection Agency 0.373217 emergency responders 0.373173 health effects 0.371356 stop-use order 0.355415 United States 0.381215 pest control companies 0.397796 ill family members 0.349857 progressive neurologic symptoms 0.347731	chemical toxicity 0.34648 methyl bromide toxicity 0.764281 U.S. Environmental Protection 0.375979 acute inhalational exposure 0.42987 postexposure symptoms 0.355331 housing unit 0.351991 adverse health effects 0.368221 clinical symptoms 0.35369 U.S. Virgin Islands 0.573894 bromide ion 0.460641 pest control company 0.436688 organophosphate toxicity 0.351358 methyl bromide exposure 0.652702 maximum exposure time 0.347591 acute chemical toxicity 0.345827 potentially exposed emergency 0.353306 bromide level determination 0.452774 pesticide methyl bromide 0.536256 fumigation 0.375758 residential settings 0.361235 Disease Registry 0.368026 previous fumigation 0.349653 family 0.374593 Toxic Substances 0.364722	CLICK HERE
13758	Centers for Disease Control and Prevention	Html	en	Bring Your Brave Campaign	CDC's Bring Your Brave campaign provides information about breast cancer to women younger than age 45 by sharing real stories about young women whose lives have been affected.	early breast cancer 0.692115 young women 0.622854 genetic counselor 0.485874 BRCA Genes Learn 0.543705 United States 0.479402 age group 0.473417 videos 0.415363 percent 0.41667 real stories 0.47317 personal history 0.475086 common cancer 0.483836 ways 0.413481 U.S. 0.413331 Brave Young women—previvors 0.559704	Story app 0.487753 Brave campaign 0.484347 risk factors 0.479614 disease 0.413522 Health Care Provider 0.568658 ovarian cancer 0.488315 Bring 0.432492 Hereditary Breast Cancer 0.668979 breast cancer 0.915092 BRCA gene mutations 0.547153 Education Learn 0.488966 older women 0.479506 breast health—share 0.591569 survivors 0.414633	CLICK HERE