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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1199	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Increase in Fentanyl-Related OverdoseDeaths - Rhode Island, November 2013-March 2014	Melissa C. Mercado-Crespo, PhD1, Steven A. Sumner, MD1, M.	time-limited active surveillance 0.367989 Acetyl fentanyl 0.459937 CDC 0.377252 Melissa C. Mercado-Crespo 0.617751 unintentional overdose deaths 0.689876 illegally produced fentanyl 0.58412 fentanyl-related overdose deaths 0.788992 overdose deaths 0.98534 synthetic opioid 0.275807 injection-drug users 0.246739 Preliminary analyses 0.230667 National Center 0.228914 program records 0.235543 risk factors 0.232119 detection limit 0.231703 drug overdose patients 0.541404 active fentanyl prescriptions 0.547164 Unintentional Injury Prevention 0.363439 fentanyl-related deaths 0.394947 nonfatal opioid overdose 0.562136 fentanyl levels 0.442833 northern Rhode Island 0.424978 Steven A. Sumner 0.385704 additional data analyses 0.334451	fentanyl-related overdose death 0.782597 prescription monitoring program 0.588323 local staff members 0.351776 Rhode Island Department 0.608473 M. Bridget Spelke 0.40874 drug overdose deaths 0.772832 prescription drug 0.256662 Rhode Island 0.89142 Christina Stanley 0.24962 Rhode Island emergency 0.39148 Author affiliations 0.255671 Drug Enforcement Administration 0.37177 urban areas 0.229319 illicit fentanyl 0.481638 illicit sources 0.246928 New Jersey 0.242799 official cause 0.230674 Vital Records 0.239665 toxicology reports 0.232953 enzyme-linked immunosorbent assay 0.348234 David E. Sugerman 0.405704 medical records 0.238672 State Medical Examiners 0.584034 large percentage 0.246853	CLICK HERE
5018	Centers for Disease Control and Prevention	Html	en	Coming in contact with bats - Rabies	Rabies can be transmitted through bat bites. If you suspect you or your pet was bitten by a bat; wash the wound and seek medical advice.	fur 0.418366 endorsement 0.42279 vaccinations 0.420621 urine 0.422789 Human Services 0.49021 photos 0.431613 U.S. Department 0.490353 Inc. 0.417183 small teeth 0.614328 bat 0.914465 contact 0.437247 rabies testing 0.539624 dogs 0.417889 animals 0.417867 pet 0.418024 BCI 0.451372 courtesy 0.418786 unattended child 0.500296 water 0.420111 wound — wash 0.516829 laboratory 0.418853 bat guano 0.738996 Bat Conservation International 0.79044 soap 0.419684 infectious material 0.509223	distance 0.418542 precautions 0.419414 affected area 0.511454 medical advice 0.598289 assistance 0.417938 summer camp 0.503726 eyes 0.419276 bats 0.422643 bite 0.41907 brain material 0.50904 nose 0.42199 types 0.420638 health department 0.49206 permission 0.419474 marks 0.421276 people 0.462048 blood 0.418266 room 0.435608 saliva 0.42787 site 0.417232 mouth 0.421479 cats 0.417899 Public Health Service 0.567113 veterinarian 0.419596	CLICK HERE
5910	Centers for Disease Control and Prevention	Html	en	Rotenone - 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
6474	Centers for Disease Control and Prevention	Html	en	Prevalence of asthma among adults in metropolitan versus nonmetropolitan areas in Montana, 2008	The objective of this study was to compare the prevalence of asthma among adults living in metropolitan versus nonmetropolitan counties in Montana.	potential respondents 0.32404 United States 0.48823 current asthma prevalence 0.463037 logistic regression analyses 0.354863 NMNA counties 0.352648 NMNA respondents 0.326313 Human Services 0.316175 Risk Factor Surveillance 0.355343 health insurance status 0.434816 Metro counties 0.316587 younger respondents 0.351386 nonwhite respondents 0.332844 rural areas 0.436078 asthma prevalence 0.7063 current asthma 0.618241 prevalence estimates 0.375534 public health 0.356965 Rural-Urban Continuum Codes 0.365209 lower annual household 0.343032 similar prevalence rates 0.342682 Montana 0.439779 metropolitan versus 0.327131 self-reported asthma 0.875559	multivariable logistic regression 0.36183 Asthma Call-back Survey 0.390825 versus nonmetropolitan counties 0.368869 self-reported current asthma 0.507405 metropolitan areas 0.319628 body mass index 0.366684 Obese respondents 0.35949 nonmetropolitan counties 0.518498 annual household income 0.704797 asthma 0.976911 urban areas 0.350002 potential geographic variation 0.342566 population 0.320873 respondents 0.590842 demographic risk factors 0.338256 Asthma Control Program 0.427773 current self-reported asthma 0.696858 sociodemographic characteristics 0.337352 metropolitan area 0.326743 American Indian/Alaska Native 0.34302 metropolitan county 0.435397 Behavioral Risk Factor 0.359453 self-reported asthma status 0.425227	CLICK HERE
7146	Centers for Disease Control and Prevention	Html	en	Global Health - Suriname	null	Content source 0.892652 HHS 0.699811 endorsement 0.682673 CDC 0.617915	non-federal site 0.998525 Notice 0.617482 sponsors 0.49087 information 0.490002	CLICK HERE
9023	Centers for Disease Control and Prevention	Video	en	Cancer in the Family	A news segment about individuals with a family member whose cigarette smoking led to a cancer diagnosis. Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html This video can also be viewed at http://www.cdc.gov/tobacco/basic_information/health_effects/cancer/index.htm	Family 0.365045	YouTube 0.930567	CLICK HERE
9307	Centers for Disease Control and Prevention	Html	es	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0138	CDC - Wide Page example description goes here	Salud Pública 0.60468		CLICK HERE
9913	Centers for Disease Control and Prevention	Html	en	NIOSH Program Portfolio : Total Worker Health : Program Description	The TWH Program includes an intramural component and an extramural component, comprised of four Centers of Excellence to Promote a Healthier Workforce. Both of these components conduct research on the integration of health protection and health promotion; communication of current knowledge, successful approaches, and challenges, and advocacy of the concepts and practices of total worker health to our partners and stakeholders.	worker well-being 0.429114 traditional safety programs 0.209467 Worker Health Program 0.343435 TWH Program 0.245073 health promotion activities 0.239305 Total Worker Health® 0.471769 health promotion 0.352716 worker resiliency 0.237951 occupational health 0.240856 health protection programs 0.277836 NIOSH Total Worker 0.423582 occupational health services 0.231339 occupational health clinics 0.230647 work-related safety 0.219449 health conditions 0.228835 Health approach advocates 0.229574 health hazards 0.242378 TWH approach 0.219814	health professionals 0.200885 health promotion programs 0.240861 Traditional occupational safety 0.226673 TWH 0.286622 health promotion leadership 0.229983 motor vehicle safety 0.202066 Worker Health Website 0.373339 health protection 0.341013 integrate protection 0.208039 respiratory protection programs 0.201638 Total Worker Health 0.972188 overall worker health 0.344617 health problems 0.200639 work-related risk factors 0.202382 illness prevention efforts 0.288211 Worker Health approach 0.395147 NIOSH WorkLife Initiatives 0.213388	CLICK HERE
10889	Centers for Disease Control and Prevention	Html	en	CDC concludes Indiana MERS patient did not spread virus to Illinois business associate | Press Release | CDC Online Newsroom	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	active infection 0.496486 MERS-CoV antibodies 0.512189 CDC 0.808625 CDC labs 0.677395 respiratory samples 0.499694 separate tests 0.489283 definitive laboratory tests 0.589749 MERS-CoV 0.617277 Respiratory Syndrome Coronavirus 0.572073 face-to-face contact 0.490441 definitive serology test 0.611553 voluntary serology testing 0.593282 definitive test 0.493336 immunofluorescent assay 0.497783 IFA results 0.495921 Indiana MERS patient 0.959817 active MERS-CoV infection 0.574176 global scientific community 0.541523 careful interpretation 0.480469 Illinois man 0.5391 additional blood samples 0.547696 serology testing 0.606292 Preliminary ELISA 0.494374 East Respiratory Syndrome 0.737809 CDC officials 0.610561	David Swerdlow 0.497716 initial ELISA 0.492516 voluntary testing 0.493603 blood samples 0.566664 public health threat 0.677147 IFA serology results 0.621271 undue concern 0.483799 vigilant approach 0.482194 business meeting 0.495986 immediate public health 0.540751 Saudi Arabia 0.495501 immune response 0.486239 Illinois associate 0.500512 close contact 0.48226 Illinois resident 0.742292 antibody test 0.485349 polymerase chain reaction 0.566802 potential public health 0.547141 Middle East Respiratory 0.737865 CDC scientists 0.579106 MERS recommendations 0.555763 local public health 0.576288 MERS-CoV response 0.496568 enzyme-linked immunosorbent assay 0.571162	CLICK HERE
13680	Centers for Disease Control and Prevention	Html	en	A Sex-Specific Analysis of Nutrition Label Use and Health, Douglas County, Nebraska, 2013	Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.	higher probability 0.35517 Douglas County 0.394203 higher odds 0.418943 nutrition education 0.376667 body weight 0.367686 high cholesterol 0.41242 weight change 0.390214 self-rated health 0.393706 health behaviors 0.366252 health care access 0.420425 health insurance coverage 0.381059 selected health variables 0.361967 sex-specific nutrition education 0.35902 nutrition education efforts 0.35623 self-reported health status 0.353918 health status 0.385629 respondents 0.349877 self-rated health categories 0.351469 Reducing Health Disparities 0.347546 various health needs 0.354458 women 0.535545 highest nutrition label 0.382106 Nebraska Medical Center 0.461686 nutrition facts 0.353111	food choices 0.37276 association 0.452009 heart disease 0.428957 men 0.565929 health behavior 0.367547 targeted nutrition education 0.356202 Nutrition Labeling 0.347776 standardized nutrition information 0.366092 Health status variables 0.356818 weight reported nutrition 0.370252 Similar findings 0.350147 nutrition label 0.964844 label reading 0.362497 Community Health Survey 0.35902 nutrition labels 0.633835 men vs women 0.364788 health 0.536328 U-shaped relationship 0.412291 total sample 0.378189 chronic conditions 0.453836 random sample survey 0.348749 leisure-time physical activity 0.438073 close association 0.3607 personal doctor 0.414013	CLICK HERE