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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
5908	Centers for Disease Control and Prevention	Html	en	o-Terphenyl - 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
8017	Centers for Disease Control and Prevention	Html	en	Human Immunodeficiency Virus (HIV) Disease Death Rates* Among Men Aged 25-54 Years, by Race and Age Group - National Vital Statistics System, United States, 2000-2010	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.	mmwrq@cdc.gov. 0.405318 endorsement 0.343571 disease death rates 0.923121 Alternate Text 0.395251 Human Services 0.458769 assistive technology 0.411738 MMWR HTML versions 0.46287 U.S. Department 0.458984 identification 0.315672 white men 0.587294 electronic PDF version 0.45855 e-mail 0.335718 HIV disease death 0.829553 period 0.332903 shows human immunodeficiency 0.48537 Contact GPO 0.407055 commercial sources 0.394059 current prices 0.38864 original paper copy 0.454523 Internet 0.315493 United States 0.397998 original MMWR paper 0.459391 Superintendent 0.317269 assistance 0.318211	title 0.317144 content 0.315409 MMWR readers 0.393921 character translation 0.388954 times 0.332791 file 0.318317 Persons 0.318382 format errors 0.389183 black men 0.588013 race 0.316367 subject line 0.402623 Health 0.328227 typeset documents 0.392675 trade names 0.394135 official text 0.386263 HIV death disease 0.50724 non-CDC sites 0.391421 References 0.315518 report 0.317131 organizations 0.315418 information 0.318331 Accommodation 0.317157 electronic conversions 0.386726 printable versions 0.384257	CLICK HERE
8206	Centers for Disease Control and Prevention	Html	en	Sickle Cell Disease, Home - NCBDDD	The Centers for Disease Control and Prevention (CDC) is working toward developing a comprehensive public health agenda to promote and improve the health of people with blood disorders.	red blood cells 0.398661 blood cell disorders 0.407543 blood disorders 0.347955 evidence-based information 0.350673 Describing Patterns 0.35997 CDC 0.32667 collaborations 0.309957 Awareness 0.308429 Cell Disease Association 0.400179 Sickle Cell Trait 0.498369 new research 0.348787 sickle cell disease 0.910629 Collection Program Data 0.40949 C-shaped farm tool 0.399596 partnerships 0.308702 ASH 0.309302 Key Findings 0.420542 red blood 0.401205 American Society 0.349488	Toolkit 0.308196 Californians 0.315133 Cell Disease Education 0.406099 group 0.308951 Emergency Department Visits 0.410851 Sickle Cell Data 0.537521 innovative approaches 0.348429 Hematology 0.310691 lives 0.308718 Cell Disease Deaths 0.422711 California 0.309548 people 0.314836 interventions 0.310439 SCD 0.368549 series 0.314549 activities 0.308692 Useful 0.309726 Georgia 0.309538	CLICK HERE
8562	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - 1957 Flu Pandemic, Robert W. McKinney	1957 Flu Pandemic, The 1957 flu pandemic was deadly, but milder than the 1918 event. The virus caused an estimated 70,000 deaths in the United States. The seven stories presented in this section are retold by survivors from New York to California.	embryonate chicken eggs 0.802341 viral diagnostic services 0.850115 CDC 0.267858 Chief 0.261206 FM1 0.316062 convalescent sample 0.532212 pairs 0.35667 isolate 0.288091 Baker 0.464312 Storyteller 0.280867 Ph 0.282414 Alaska 0.258963 recollection 0.285514 Immunology Division 0.550015 Army Medical Laboratory 0.829447 area 0.259047 Robert W. McKinney 0.926499	Hawaii 0.258907 specimens 0.331457 California 0.328019 Air 0.259215 antigens 0.403623 onset 0.277047 Lee 0.257436 Ft 0.36123 Type 0.311537 Navy 0.262908 pandemic strain 0.940337 PR8 0.257798 restriction 0.282152 time 0.258328 influenza diagnosis 0.556663 hemagglutination–inhibition test procedure 0.826178 acute sample 0.503199	CLICK HERE
8623	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - In Memorial, Leta Bauer Lee and Emma Triphan Buechel	In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss.	grandmothers 0.219621 Christine A. Maurer 0.901365 influenza pandemic 0.554766 Leta Bauer Lee 0.830293 Emma Triphan Buechel 0.905909 immediate family 0.430465 Virginia Lee Rammer 0.776527	Ida Buechel Klug 0.933244 Sheboygan County 0.515481 young age 0.470778 maternal grandmother 0.625046 Little Virginia 0.428178 paternal grandmother 0.630566	CLICK HERE
9836	Centers for Disease Control and Prevention	Html	en	CDC Research Confirms Benefits of Flu Antiviral Drugs, Even Beyond 2 Days After Symptoms Start	New research confirms benefits of the flu antiviral medication oseltamivir in treating children with uncomplicated flu illness and shows that treatment can be beneficial even beyond the 2-day window - CDC	study 0.396023 antiviral medication oseltamivir 0.574738 overall flu symptoms 0.511699 flu antiviral drug 0.615804 influenza antiviral drugs 0.536854 symptom onset 0.423014 urban setting 0.4033 CDC authors 0.367968 flu vaccine 0.509114 flu complications 0.503574 flu antiviral studies 0.604192 oseltamivir treatment 0.446365 influenza illness duration 0.45436 Infectious Diseases study 0.393534 flu treatment 0.462864 generic flu 0.450446 two-day window 0.359942 virus detection 0.357633 children 0.366528 Lancet Infectious Diseases 0.604963 CDC website 0.356213 New research 0.358547 antiviral drug oseltamivir 0.555	current package insert 0.399335 daily household visits 0.395618 clinical trial 0.356096 flu illness onset 0.552539 new study 0.361619 uncomplicated flu illness 0.578534 laboratory-confirmed influenza infection 0.434067 antiviral drugs 0.966738 flu illness 0.707952 virus shedding 0.371124 uncomplicated influenza 0.384397 influenza complications 0.383294 package insert 0.415717 live virus 0.404563 placebo-controlled study 0.365508 neuraminidase inhibitor 0.355536 greatest clinical benefit 0.384059 viral shedding 0.369238 influenza antiviral treatment 0.562633 flu season 0.463553 ) symptoms. 0.669463 illness onset 0.571258 significant reduction 0.355006	CLICK HERE
11784	Centers for Disease Control and Prevention	Html	en	Cluster of Ebola Cases Among Liberian and U.S. Health Care Workers in an Ebola Treatment Unit and Adjacent Hospital - Liberia, 2014	Joseph D. Forrester, MD1, Jennifer C. Hunter, DrPH1, Satish K.	undiagnosed Ebola 0.415376 ETU 0.389991 international health care 0.280318 HCW staff members 0.312876 Ebola virus transmission 0.529279 CDC Ebola virus 0.482227 adjacent general hospital 0.30416 Ebola virus 0.951504 Social Welfare 0.363432 HCWs 0.368473 Ebola transmission 0.446768 HCW working 0.285796 hospital A emergency 0.299711 undetected Ebola patients 0.453936 additional HCW cases 0.325623 personal protective equipment 0.638345 adjacent hospital 0.29029 health care environment 0.285426 health care practices 0.284371 emergency department 0.431001 Liberian Ministry 0.302982 potentially exposing HCWs 0.279115 ebola cases 0.493485 exposure 0.312965	virus transmission modes 0.301525 health care settings 0.294317 general medical care 0.33241 Ebola patients 0.587282 Ebola Treatment Unit 0.480801 HCW 0.338107 undiagnosed HCW 0.280649 Ebola virus disease 0.561838 probable case 0.311538 U.S. Health Care 0.297984 Ebola virus infection 0.627277 undetected Ebola 0.466522 health care workers 0.340096 previous Ebola outbreaks 0.47774 hospital 0.352976 health care 0.423208 HCW exposure 0.2944 private community hospital 0.289539 infected HCWs 0.28745 common source exposure 0.277589 ongoing Ebola virus 0.504105 Ebola treatment units 0.477395 HCW cluster 0.286115 Joseph D. Forrester 0.33063	CLICK HERE
12538	Centers for Disease Control and Prevention	Video	en	CDC: Tips From Former Smokers -- Shawn's Ad	Shawn was 14 years old when he started smoking. He was in his midforties when a chronic cough and laryngitis turned out to be throat cancer. He finally quit smoking—but doctors were unable to save his larynx. He now has a stoma (opening) that allows him to breathe and a laryngeal implant that allows him to speak. In this TV ad from CDC's Tips From Former Smokers campaign, Shawn describes how life's ordinary tasks are more challenging with a stoma. 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=4186c97bd032d0dc9612fec4c6707e4420140620143822468	Shawn 0.852758 Smokers 0.932887	CDC 0.92604 YouTube 0.871802	CLICK HERE
13488	Centers for Disease Control and Prevention	Html	en	Surveillance for Waterborne Disease Outbreaks Associatedwith Drinking Water - United States, 2011-2012	Karlyn D. Beer, PhD1,2; Julia W. Gargano, PhD2; Virginia A.	untreated groundwater 0.538331 frequently reported outbreak 0.50456 Legionella pneumophila serogroup 0.490967 building plumbing systems 0.529517 CDC Waterborne Disease 0.490344 untreated surface water 0.497738 public health challenges 0.506158 Zoonotic Infectious Diseases 0.486189 public drinking water 0.528619 frequently reported etiology 0.48304 drinking water outbreaks 0.662108 noncommunity outbreaks 0.570898 waterborne disease outbreak 0.506187 individual water systems 0.521742 septic systems 0.49425 water treatment processes 0.490857 commonly reported illness 0.491415 private wells 0.509494 health care facilities 0.55107 Ground Water Rule 0.529202 non-Legionella bacteria 0.571371 drinking water–associated¶ waterborne 0.515897 drinking water–associated outbreaks 0.743662 outbreaks 0.913564 Environmental Protection Agency 0.500768	point-of-entry water filters 0.486074 Legionella outbreak 0.478638 bottled water 0.485496 previously unreported outbreaks 0.594759 waterborne disease outbreaks 0.675714 outbreak-associated cases 0.52567 surface water sources 0.496989 noncommunity groundwater systems 0.501704 public water systems 0.546468 public health 0.588169 community water systems†† 0.497477 noncommunity systems 0.484264 noncommunity water systems 0.756071 water outbreak-associated cases 0.506751 cases 0.532749 Legionella outbreaks 0.640587 outbreak surveillance 0.493458 drinking water systems 0.709746 septic systems malfunction 0.478912 single-etiology outbreaks 0.578828 National Outbreak Reporting 0.481194 source water monitoring 0.491801 community water systems 0.540074 water systems 0.895741	CLICK HERE
16440	Centers for Disease Control and Prevention	Html	en	Burden of TB in the United States | Features | CDC	Increase in Reported TB Cases in 2015	overall TB case 0.414344 latent TB infection 0.84074 infectious TB disease 0.388336 CDC TB Website 0.387554 United States 0.623774 TB disease 0.791738 untreated latent TB 0.416126 TB prevention 0.37531	TB 0.956726 TB transmission 0.353809 TB case rates 0.414421 tb cases 0.563166 Reported TB Cases 0.456649 TB germs 0.38845 TB infection 0.88461	CLICK HERE