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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
1146	Centers for Disease Control and Prevention	Html	en	Racial/Ethnic Disparities in Fatal Unintentional DrowningAmong Persons Aged ?29 Years — United States, 1999–2010	Julie Gilchrist, MD1, Erin M. Parker, PhD1 (Author affiliations at end of text).	natural water settings 0.835368 United States 0.451187 age group 0.318442 overall drowning rate 0.540216 blacks 0.477952 true drowning risks 0.426304 overall drowning rates 0.599595 whites 0.57209 setting-specific drowning deaths 0.482594 5-year age groups 0.201491 black children 0.458632 pool drowning 0.536917 American Indians/Alaska Natives 0.435688 racial/ethnic groups 0.281894 basic swimming skills 0.936763 high drowning rates 0.483387 fatal drowning rates 0.459909	unintentional injury death 0.326238 life jackets 0.238189 rates 0.792938 racial/ethnic drowning disparities 0.478743 rate ratios 0.318917 2-year age groups 0.200351 overall drowning 0.675153 swimming pools 0.70035 age groups 0.482393 highest rates 0.236426 pool drowning rates 0.509395 fatal unintentional drowning 0.685709 young adults 0.288192 prevention strategies 0.28594 drowning rates 0.717788 ages 0.331387 age 0.494938	CLICK HERE
5410	Centers for Disease Control and Prevention	Html	en	Racial/ethnic and socioeconomic disparities in health-related quality of life among people with coronary heart disease, 2007.	null	quality health care 0.475908 study 0.498838 education 0.494215 mental health 0.623854 CHD patients 0.533476 age group 0.498856 differences 0.49384 Risk Factor Surveillance 0.506007 recent physical health 0.487069 annual household income 0.562125 significant differences 0.49125 CHD prevalence 0.555645 prevalence estimates 0.520828 general health 0.513426 similar prevalence estimates 0.508135 self-reported data 0.486723 unhealthy days measure 0.50475 unhealthy days measurements 0.852037 general health perceptions 0.484442 household size 0.672397 non-Hispanic whites 0.575504 HRQOL measurements 0.517377 General health status 0.489303	community-dwelling adults 0.474619 health insurance coverage 0.799657 multivariate logistic regression 0.608277 risk factors 0.507252 self-reported CHD 0.961106 non-hispanic blacks 0.492402 health care coverage 0.505689 people 0.638503 CHD report 0.566778 CHD status 0.555784 recent mental health 0.487634 fair/poor health status 0.996962 unfavorable HRQOL measurements 0.486118 chronic disease 0.505 multivariable adjustment 0.475355 HRQOL 0.66574 coronary heart disease 0.615814 logistic regression models 0.559974 Native Americans 0.62558 Behavioral Risk Factor 0.506076 lower HRQOL 0.515113 CHD 0.963263 women 0.498436	CLICK HERE
7178	Centers for Disease Control and Prevention	Html	en	Prevention and Treatment of Avian Influenza A Viruses in People	Prevention and Treatment of Avian Influenza A Viruses in People - CDC.	avian influenza 0.97451 HPAI Asian lineage 0.493281 CDC 0.454306 sources 0.411001 vaccines 0.421105 avian influenza viruses 0.837631 infected birds 0.456262 influenza A viruses 0.823388 best way 0.462454 air 0.410172 eyes 0.41954 States federal government 0.491919 seasonal influenza vaccination 0.685519 similar viruses 0.538 Pathogenic Avian Influenza 0.645849 direct contact 0.456177 candidate vaccine virus 0.581356 bird flu viruses 0.619541 infection control practices 0.506799 health professionals 0.45076 nose 0.421998 biosecurity 0.411627 personal protective equipment 0.49953 antiviral resistance 0.498513	outbreak response 0.455429 poultry outbreaks 0.46252 co-infection 0.414073 available avian influenza 0.652966 droplets 0.413411 candidate vaccine viruses 0.592001 avian influenza virus 0.714791 stockpile 0.411925 Rare human infections 0.505302 careful attention 0.455541 people 0.428837 avian influenza outbreaks 0.751689 saliva 0.413476 neuraminidase inhibitor 0.45485 human infections 0.512315 avian viruses 0.629371 mouth 0.421551 lineage avian influenza 0.688299 unprotected contact 0.457485 Asian H5N1 0.460739 hand hygiene 0.454121 zanamivir 0.413028 oseltamivir 0.413663	CLICK HERE
9855	Centers for Disease Control and Prevention	Html	en	Diseases and Organisms | Blood Safety | CDC	Blood Safety, Diseases and Organisms	red blood cells 0.631117 blood products 0.579275 Transfusion-transmitted infections 0.451728 Escherichia coli 0.470923 common bacterial contaminants 0.477548 liver failure 0.491728 donor screening 0.48327 cellular prion proteins 0.454097 transfusion-transmitted viral diseases 0.478395 U.S. blood supply 0.649093 Hepatitis B virus 0.488408 Gram-negative bacteria 0.484478 liver damage 0.487997 blood transfusions 0.468693 contagious liver disease 0.748158 Hepatitis C-related liver 0.583198 surgical site infections 0.50148 non-leukoreduced red blood 0.492387 Trypanosoma cruzi 0.546178 people worldwide die 0.454728 human immunodeficiency virus 0.460636 bacterial contamination 0.488198 Hepatitis A virus 0.490162 United States 0.718618 Hepatitis B-related liver 0.587737	Variant Creutzfeldt-Jakob Disease 0.474934 Chagas disease 0.471255 standard donor screening 0.466488 west nile virus 0.55928 different leishmanial species 0.459913 parasitic infections 0.476661 E. coli 0.467699 blood transfusion 0.932146 transfusion-transmitted Trypanosoma cruzi 0.499061 western black-legged tick 0.47259 common infectious risk 0.503261 United Kingdom 0.497626 parasite Trypanosoma cruzi 0.486015 viral diseases 0.50717 chronic bloodborne infection 0.477786 bacterium Anaplasma phagocytophilum 0.464258 chronic hepatitis 0.639076 Nile Virus Transfusion 0.513252 prion diseases 0.457167 blood supply 0.754715 risk 0.523826 liver cancer 0.497041 transfusion-transmitted HAV infection 0.488744 Hepatitis C virus 0.485689	CLICK HERE
11716	Centers for Disease Control and Prevention	Html	en	Notices to Readers: MMWR in Brief Republished in AmericanJournal of Public Health	Please note: An erratum has been published for this article. To view the erratum, please click here.	endorsement 0.710147 Human Services 0.964184 Outbreaks 0.639478 MMWR HTML versions 0.96256 U.S. Department 0.957408 identification 0.630781 electronic PDF version 0.92552 new feature 0.805152 erratum 0.671972 Contact GPO 0.832016 commercial sources 0.792206 American Journal 0.800461 serial publications 0.80245 click 0.632207 article 0.636509 Surveillance Summaries 0.803642 current prices 0.780089 original paper copy 0.923349 Internet 0.630363 Person-to-Person Contact 0.818276 Public Health 0.803607 United States 0.796909 U.S. Government Printing 0.92357 Superintendent 0.637703	Acute Gastroenteritis Transmitted 0.985486 MMWR website 0.837427 MMWR readers 0.819342 Brief summaries 0.801973 character translation 0.779819 MMWR paper copy 0.956522 postings 0.632392 format errors 0.788644 summary 0.661682 editorial 0.631151 typeset documents 0.795104 trade names 0.792394 Reports 0.632904 official text 0.776872 http://www.cdc.gov/mmwr/mmwr_briefs.html 0.632759 Supplements 0.630631 non-CDC sites 0.788783 http://ajph.aphapublications.org/doi/pdf/10.2105/AJPH.2014.302321 0.631081 References 0.630422 report 0.631697 online 0.631283 electronic conversions 0.779594 printable versions 0.773412 e.g. 0.632946	CLICK HERE
12621	Centers for Disease Control and Prevention	Video	en	Director's Briefing: Testing to Prevent Colon Cancer	In this Director's Briefing video, CDC Director Dr. Tom Frieden talks about this month's Vital Signs, which reports that about 23 million adults (ages 50-75) have not gotten the life-saving tests they need to find colon cancer early. Testing is important. Every year, more than 50,000 Americans die from colon cancer -- yet testing could have found precancerous growths and saved lives. There are different types of screening tests, and people are encouraged to talk with their doctor about which test is right for them. The best test is the test that gets done. 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://streaming.cdc.gov/vod.php?id=d55c30c1c09dba8b5ee32a7103ab317c20131104092453606	Prevent Colon Cancer 0.949395 Briefing 0.466566	Director 0.216518 YouTube 0.431686	CLICK HERE
13125	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Campylobacteriosis Outbreak Associatedwith Consuming Undercooked Chicken Liver Pâté - Ohio and Oregon,December 2013-January 2014	Magdalena Kendall Scott1, Aimee Geissler2, Tasha Poissant1, Emilio DeBess1, Beth Melius3, Kaye Eckmann3, Ellen Salehi4, Paul R. Cieslak1 (Author affiliations at end of text).	Kaye Eckmann 0.372642 partially cooked livers 0.515641 Magdalena K. Scott 0.405345 Antimicrobial Resistance Monitoring 0.408215 chicken liver pУЂtУЉ 0.654209 U.S. Department 0.364789 raw chicken livers 0.573392 environmental health investigation 0.424527 Ellen Salehi 0.365305 raw liver samples 0.476324 Zoonotic Infectious Diseases 0.400175 pУЂtУЉ samples 0.370896 Oregon restaurant 0.429954 human stool specimen 0.412932 human isolate 0.414582 Patient age range 0.407218 restriction enzyme SmaI 0.414286 Oregon restaurants 0.366199 Emilio DeBess 0.369187 Paul R. Cieslak 0.429725 chicken livers 0.905157 Campylobacter jejuni 0.416527 campylobacteriosis case 0.391152 common bacterial cause 0.397677 pulsed-field gel electrophoresis 0.40997	C. jejuni 0.490375 multistate outbreak 0.368046 undercooked chicken livers 0.650556 campylobacteriosis 0.405893 United States 0.411387 Magdalena Kendall Scott 0.430026 FSIS-regulated establishment 0.372024 Ohio residents 0.36834 Ohio Department 0.371669 Aimee Geissler 0.373421 health departments 0.362731 3Washington State Department 0.404497 Agriculture Food Safety 0.413668 indistinguishable PFGE patterns 0.415588 undercooked chicken liver 0.723696 chicken liver pУЂtУЉ* 0.580545 Author affiliations 0.365719 Beth Melius 0.36521 consumption 0.363185 Public Health Division 0.520234 Tasha Poissant 0.369801 Washington state resident 0.398327 chicken liver 0.817667 Oregon Public Health 0.444291	CLICK HERE
14182	Centers for Disease Control and Prevention	Html	en	Vaccines Do Not Cause Autism Concerns | Vaccine Safety	Studies have shown there is no link between autism and any vaccine or vaccine ingredient.	different ways 0.267816 Disease Prevention 0.234167 Madsen KM 0.232459 Swerdfeger AL 0.236763 American Academy 0.233431 Joint statement 0.23555 CDC study 0.261683 Arch Gen Psychiatry. 0.345265 developmental services 0.237141 flu vaccines 0.635606 Health Promotion 0.232227 children 0.291572 Monitoring Network 0.265318 rubella vaccination 0.241265 Melbye M. Association 0.344121 Grether JK 0.250327 vaccine ingredient 0.300316 Eslick GD 0.24957 Engl J Med. 0.243346 brain functions 0.266848 population-based study 0.238199 rare exceptions 0.255567 cohort studies 0.243375 thimerosal-containing vaccine 0.277009 Developmental Disabilities 0.266347	Taylor LE 0.233436 vaccines 0.96223 United States 0.396091 developmental disability 0.268093 flu vaccine 0.302325 multidose vials 0.399253 disease-fighting antibodies 0.249104 Autism Board 0.27447 ASD 0.856295 Pratt RD.An assessment 0.34899 CDC’s Autism 0.325387 causal relationship 0.246643 evidence-based meta-analysis 0.24018 Recent estimates 0.263012 scientific review 0.245626 vaccine ingredients 0.378582 broader national effort 0.358067 Thimerosal-free alternatives 0.237786 Autism spectrum disorder 0.448777 mercury exposure 0.235497 thimerosal-containing vaccines 0.562639 Public Health Service 0.345756 essential data 0.257664 childhood vaccines 0.758392	CLICK HERE
14331	Centers for Disease Control and Prevention	Image	null	Million Hearts: Working Together to Prevent One Million Heart Attacks and Strokes	null			CLICK HERE
16309	Centers for Disease Control and Prevention	Html	en	FastStats - Older Persons' Health	null	National Study 0.330309 figure 0.279541 data 0.514467 United States 0.985412 Long-Term Care Providers 0.642465 Final Data 0.463125 Health Interview Survey 0.702583 National Health Interview 0.686567 Source 0.723317	persons 0.23206 PDF 0.717413 Number 0.232152 MB 0.891139 data table 0.412677 Early release 0.512554 table 0.64259 Services Users 0.345883 deaths 0.342703	CLICK HERE