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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
622	Centers for Disease Control and Prevention	Html	en	September is National Cholesterol Education Month - CDC Features	Learn what steps you can take to prevent high cholesterol or to reduce your LDL bad cholesterol level.	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
1080	Centers for Disease Control and Prevention	Html	null	Core State Preconception Health Indicators - Pregnancy Risk Assessment Monitoring System and Behavioral Risk Factor Surveillance System, 2009	Cheryl L. Robbins, PhD.			CLICK HERE
4461	Centers for Disease Control and Prevention	Html	en	Pregnancy Guidance Info for Women in Education, Child Care, Healthcare	null	healthcare personnel 0.656868 H1N1 influenza virus 0.597255 single best way 0.420735 influenza infection 0.672224 pregnant doctors 0.410773 alcohol-based hand rub 0.407147 seasonal flu shots 0.413052 infection control 0.787411 influenza-like illness 0.446597 workplace infection control 0.555336 alcohol-based hand rubs 0.40386 influenza symptoms 0.472343 clinical laboratory setting 0.404906 pregnant women 0.921097 child care 0.661273 respiratory therapist caring 0.395165 Virus Infection 0.392258 standard precautions 0.510844 respiratory secretions 0.405666 CDC website 0.416298 close contact 0.399471 influenza illness 0.585139 health care providers 0.419279 pregnant employees 0.550883	pregnant personnel 0.441111 facility infection control 0.493111 novel influenza virus 0.605621 influenza season 0.498104 personal protective equipment 0.392551 H1N1 infection 0.410874 child care settings 0.573037 infection control strategies 0.525431 H1N1 pandemic increases 0.46158 disposable N95 respirator 0.402708 child care personnel 0.45658 patient contact 0.40991 alcohol-based hand 0.410357 alternative work environments 0.411014 nasal spray vaccine 0.387598 increased influenza activity 0.530711 Pregnant healthcare personnel 0.572736 healthcare provider 0.444798 post-exposure antiviral medication 0.440066 child care professionals 0.439322 Suspected Swine Influenza 0.551146 influenza severity increases 0.541619 antiviral medications 0.448611	CLICK HERE
4620	Centers for Disease Control and Prevention	Html	en	Flood Water After a Disaster or Emergency|Floods	Information on floods. Provided by the Centers for Disease Control and Prevention (CDC).	clean water 0.466617 fallen power lines 0.299952 rubber gloves 0.342833 foam-rubber items 0.236785 hazardous chemical containers 0.28674 flood water areas 0.475965 NIOSH-approved N-95 respirator 0.348857 uncontaminated clothes 0.384387 shallow water 0.269325 Practice good hygiene 0.30418 fallen power line 0.291759 carpet padding 0.232072 hot water 0.565911 clear water 0.341389 emergency medical help 0.302523 Wash children 0.241593 personal protective equipment 0.337832 Wear rubber boots 0.317507 certain coastal waters 0.329412 immediate medical attention 0.749183 normal storage places 0.292973 shallow standing water 0.356601 household chlorine bleach 0.495872 downed power lines 0.304735 sewage water 0.294302	old wound 0.253347 cleanup 0.393488 CDC Healthy Water 0.36706 flood waters 0.942498 overhead power lines 0.297831 wound care 0.359211 baby toys 0.231702 onsite waste-water 0.355936 affected area 0.553129 Bleach section 0.230173 rubber boots 0.345045 natural disaster 0.30705 open wound 0.260698 air conditioning units 0.336034 flood water 0.676765 Seek medical attention 0.30869 open wounds 0.412015 dish detergent 0.253164 Emergency Wound Care 0.33902 potential chemical hazards 0.295102 power lines 0.368081 paper products 0.233144 Wash clothes 0.282108 chemical hazards 0.31402	CLICK HERE
6492	Centers for Disease Control and Prevention	Html	en	Evidence-based health: necessary but not sufficient [letter	As public health practitioners from the National Asthma Control Program (NACP) of the Centers for Disease Control and Prevention, we read the essay “From Evidence-Based Medicine to Evidence-Based Health: the Example of Asthma” (1) with great interest.	evidence-based clinical medicine 0.736814 clinical management 0.529545 demonstration projects 0.628022 successful asthma interventions 0.88622 public health practitioners 0.709166 population-level asthma surveillance 0.823247 organized research effort 0.621807 clinical teams 0.532331 key demonstration projects 0.613005 health services research 0.66814 multicomponent interventions 0.623077 sufficient evidence 0.522387 asthma self-management support 0.866016 Disease Control 0.721709 change elements 0.537002 community-level interventions 0.623245 convincing insurers 0.523853 public’s health 0.634988 Environmental Health 0.547742 asthma 0.980021 community health interventions 0.751461 Evidence-Based Medicine 0.612434 cost-effective ways 0.522312 Community Preventive Services 0.640074 public health response 0.690884	clinical case studies 0.625977 evidence-based practice 0.593589 community health services 0.679855 National Asthma Control 0.891986 recent article 0.528234 asthma triggers 0.711048 Expert Panel Report 0.642462 disparately high prevalence 0.633207 community resources 0.528341 state asthma programs 0.822942 asthma prevalence 0.729222 public health 0.764931 evidence-based treatments 0.577207 program implementation questions 0.618393 evidence-based health 0.818578 clinical guidelines 0.526545 case studies 0.632496 research dollars 0.52555 behavioral interventions 0.604466 racial/ethnic minorities 0.522382 systematic review 0.524317 Public Health Service 0.655345 vastly disproportionate funding 0.617741 new medications 0.525745	CLICK HERE
8140	Centers for Disease Control and Prevention	Html	en	About one in five U.S. adult cigarette smokers have tried an electronic cigarette	[Title]	Office 0.428962 Centers 0.435397 study 0.471498 e-cigarette marketing 0.549771 adults 0.587741 large numbers 0.556646 changes 0.433123 electronic cigarettes 0.686052 traditional cigarettes 0.964368 Research 0.429871 young people 0.551078 assistance 0.428936 percent 0.541084 MD MPH 0.558577 products 0.431527 sexes 0.44032 Prevention 0.435342 current smokers 0.594435 initiation 0.43364	Disease Control 0.588525 awareness 0.467337 U.S. DEPARTMENT 0.554595 non-Hispanic Whites 0.586035 estimates 0.437435 Tim McAfee 0.558185 stories 0.429365 adult smokers 0.589465 long-term health 0.548966 Director Tom Frieden 0.704903 South 0.432137 visit www.BeTobaccoFree.gov 0.551884 e-cigarettes 0.778806 net public health 0.672552 users 0.429335 toxins 0.434229 visit http://www.cdc.gov/tips 0.557357 HUMAN SERVICES 0.554329 information 0.428237	CLICK HERE
8233	Centers for Disease Control and Prevention	Html	en	Parent's Guide to Hearing Loss, Opinions of others - NCBDDD	Hearing loss can affect a child’s ability to develop communication, language, and social skills. The earlier children with hearing loss start getting services, the more likely they are to reach their full potential. If you are a parent and you suspect your child has hearing loss, trust your instincts and speak with your child’s doctor. Don’t wait!	communication strategies 0.698139 good way 0.680428 hard-of-hearing adults 0.761407 professionals 0.389089 deaf 0.400146 well-meaning relatives 0.799736 strong opinions 0.684074 people 0.488608 friends 0.389407	different services 0.649046 opinions 0.932852 ones 0.390824 decisions 0.792238 information 0.484674 programs 0.45291 choices 0.541542 child 0.655825	CLICK HERE
8622	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - Finding A Cure, Mary Agnes Tyrrell Glover	Finding A Cure, One of the most important challenges, for health communicators today, is helping the public to understand that a flu shot will not be readily available when the next pandemic strikes. Once the virus is identified, it will take several months to produce a vaccine. In 1918, in desperation, people tried a variety of methods to cure the sick —some practical and effective, others questionable and even amusing.	high school 0.617666 pills 0.552939 meatless Tuesdays 0.625515 coffins 0.526632 heatless Mondays 0.631815 children 0.542915 graduation 0.524889 neighbors 0.524206 grandfather 0.524794 family members 0.616519 mid-1800s 0.536056 St. John 0.620263 friends 0.519816 great grandparents 0.638461 County Mayo 0.635125 Pennsylvania 0.524048 dawn 0.543948 Agnes Anastasia Bowen 0.818576 neighborhood 0.582089 boyfriends 0.528469 Schuylkill River 0.632352 cousins 0.524369 child 0.541551 pandemic flu 0.629048 United States 0.726107	wagon 0.542387 flu epidemic. 0.624528 northwest 0.52251 Mary Agnes 0.921917 Winifred Connor 0.661538 Storyteller 0.526106 Ireland 0.522602 Dr. William Leaman 0.722791 barber 0.522365 canal 0.520219 World War 0.618108 holy water 0.614369 grandmother 0.562999 mills 0.519881 words 0.539821 Peter Tyrrell 0.644919 Mary Agnes Tyrrell 0.803291 Winifred Bowen 0.670903 Manayunk 0.678557 time 0.539188 Patrick Bowen 0.659938 Monsignor Eugene Murphy 0.711295 Philadelphia 0.522492 Baptist Parish 0.620163	CLICK HERE
9804	Centers for Disease Control and Prevention	Html	en	Hantavirus - U.S. HPS Cases, by Reporting State	null	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
12180	Centers for Disease Control and Prevention	Html	en	Ebola Virus Disease in Health Care Workers - Sierra Leone,2014	On December 9, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr).	potential Ebola 0.502941 ill person 0.419113 general care facilities 0.401996 Ebola reporting 0.488417 Ebola cumulative incidence 0.513665 Leone Ebola Response 0.542 HCW patients 0.408251 Ebola care facilities 0.599248 Kenema General Hospital 0.475713 Ebola outbreak 0.518169 non-HCW Ebola patients 0.530958 HCWs 0.576105 health care facility 0.383933 Ebola wards 0.494985 standard operating procedures 0.40451 broad range 0.384438 personal protective equipment 0.551901 inadequate training 0.384198 HCW Ebola cases 0.610137 Global Health 0.384802 health facility administrators 0.475616 health care services 0.384113 ebola virus disease 0.596402 health workforce 0.42204 Ebola incidence rate 0.522588	public health events 0.420725 health care facilities 0.397324 low-risk Ebola zones 0.522896 Ebola patients 0.71048 Health care worker 0.390586 Sierra Leone 0.874388 Hemorrhagic Fever database 0.529939 Sierra Leone health 0.420804 dedicated Ebola treatment 0.515407 Ebola cases 0.940656 HCW Ebola patients 0.579031 site visits 0.387154 health care workers 0.430584 health care 0.529287 national Viral Hemorrhagic 0.46407 live Ebola patient 0.520743 laboratory-confirmed Ebola cases 0.589228 Kenema District 0.425899 Viral Hemorrhagic Fever 0.597424 infection prevention 0.657079 Ebola incidence 0.556695 Ebola patient 0.594626 probable Ebola 0.517241 control measures 0.38256	CLICK HERE