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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
7791	Centers for Disease Control and Prevention	Html	en	Cancer - Health Communication	Cancer - Gateway to Health Communication - CDC	harmful sun exposure 0.651035 cancer treatment 0.557198 country 0.42469 half 0.423947 ongoing research 0.54444 foods 0.424345 distant parts 0.553088 good outcome 0.537172 adults 0.430194 primary cause 0.554263 cancer cells 0.671859 cancer deaths 0.560846 metastatic cancer 0.576897 body 0.427034 cardiovascular health 0.533768 American Cancer Society 0.677655 lifestyle changes 0.535987 earlier diagnosis 0.544776 U.S. 0.425394 children 0.425052 heart disease 0.536855 genetic predisposition 0.541471 chemicals 0.424117	risk factors 0.798425 therapies 0.424543 types 0.424505 fiber 0.424292 Tumor cells 0.596058 accumulation 0.433196 cancer patients 0.562436 Americans 0.490618 continuous multiplication 0.568981 people 0.449094 regular checkups 0.547994 lumps 0.436504 tobacco products 0.533142 tumors 0.428255 public health problem 0.666781 likelihood 0.428925 chances 0.428425 form 0.427417 particular risk factor 0.632178 ages 0.425301 cancer 0.913599 Spanish Version 0.537785 age 0.425029	CLICK HERE
8869	Centers for Disease Control and Prevention	Html	en	Coronavirus - Related Materials - MERS-CoV - CDC	CDC Coronavirus: Coronaviruses are common throughout the world. They can infect people and animals. Five different coronaviruses can infect people and make them sick. They usually cause mild to moderate upper-respiratory illness.	Müller MA 0.340365 MERS-CoV 0.341197 east respiratory syndrome 0.930727 dromedary camels 0.347911 respiratory distress syndrome 0.378768 Emerg Infect Dis. 0.534094 novel coronavirus 0.49629 respiratory syndrome antibodies 0.380737 A. Middle East 0.348696 East Respiratory Syndrome. 0.395971 Lancet Infect Dis. 0.338426 World Health Organization 0.344702 coronavirus seroprevalence 0.384241 Syndrome Coronavirus Released 0.432626 syndrome coronavirus illness 0.417668 syndrome coronavirus infections 0.42833 Clin Infect Dis. 0.378313 severe respiratory disease 0.395084 newly discovered coronavirus 0.394054 Respiratory Illness Associated 0.397654 saudi arabia 0.450806 primary Middle East 0.346975 United States 0.368911 Press Briefing Transcript 0.352475 Novel Coronavirus Investigation 0.409275	Middle East 0.752497 M. Novel coronavirus 0.403471 Health Care Providers 0.338852 Memish ZA 0.343664 MERS coronavirus 0.440377 public health 0.357157 health care 0.351269 acute respiratory illness 0.38989 Coronavirus Emergency 0.398605 Middle East Respiratory 0.722701 Euro Surveill. 0.417809 Acute Respiratory Syndrome 0.376816 United Arab Emirates 0.336722 CDC Press Briefing 0.357329 CDC Press Release 0.357649 novel coronavirus infections 0.407481 respiratory syndrome coronavirus 0.941645 syndrome coronavirus infection 0.497394 severe respiratory illness 0.484447 et al 0.652569 MERS coronavirus cases 0.406205 novel human coronavirus 0.423357 CDC. Severe respiratory 0.370715 syndrome coronavirus disease 0.413023	CLICK HERE
8880	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Outbreak of Poliomyelitis - Somaliaand Kenya, May 2013	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.	subsequent local transmission 0.7019 mmwrq@cdc.gov. 0.627617 polio risk 0.700544 poliovirus vaccine dose 0.708884 Public Health 0.628777 CDC 0.658458 Bay Region 0.621667 original MMWR paper 0.688115 U.S. Government Printing 0.686268 Somalia 0.704101 Human Services 0.671276 assistive technology 0.618866 U.S. resettlement receive 0.688512 wild poliovirus type 0.712928 additional polio vaccine 0.795083 complete polio vaccination 0.788428 MMWR HTML versions 0.680671 U.S. Department 0.669172 Subsequent SIAs 0.647689 Genetic sequence analysis 0.693066 Banadir Region 0.794436 Kenya Ministry 0.661786 electronic PDF version 0.68213 subsequent SIA 0.639359	Zoonotic Infectious Diseases 0.681577 Preventive SIAs 0.633427 WPV1 case 0.623674 fecal-oral contact 0.603724 Global Immunization Div 0.715594 additional cases 0.635228 Dadaab refugee camps 0.890521 National Center 0.668092 World Health Organization 0.884167 Global Health 0.617653 subject line 0.619304 polio cases 0.976862 Contact GPO 0.6113 larger geographic area 0.685811 Somalia border 0.684397 acute flaccid paralysis 0.713273 polio supplementary immunization 0.816733 single introduction 0.607489 oral polio vaccine 0.785462 Somalia Ministry 0.695336 booster dose 0.60973 original paper copy 0.675306 West Africa 0.607131	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
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
14331	Centers for Disease Control and Prevention	Image	null	Million Hearts: Working Together to Prevent One Million Heart Attacks and Strokes	null			CLICK HERE