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Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
930	Centers for Disease Control and Prevention	Html	en	Fungal Infections - 10 Questions to Protect Your Health | CDC Features	Have you wondered about your risk for fungal infection? Here are 10 questions you can use to understand fungal infections, assess your chance of getting sick, and know what you need to do to stay healthy.	approximate regions 0.452165 common bloodstream infections 0.575804 cryptococcal meningitis 0.453978 oral candidiasis 0.45603 indoor surfaces 0.454535 ringworm infection 0.4928 fungal infection 0.768872 immune systems 0.504165 similar symptoms 0.449236 Early testing 0.44955 fungal diseases 0.608771 Click map 0.452109 stem cell transplant 0.490455 southwestern United States 0.494524 larger version 0.452573 major cause 0.451936 certain disease-causing fungi 0.519225 rheumatoid arthritis 0.449662 Harmful fungi 0.472129 fungal skin infections 0.709886 bloodstream infections 0.588023 chicken coops 0.452561 genital candidiasis 0.460637 lung infections 0.579106 antifungal medication 0.502465	United States 0.597708 hairless patches 0.450369 bacterial infections 0.525987 shaded areas 0.454261 Pneumocystis pneumonia 0.452895 Adult animals 0.451724 vulvovaginal candidiasis 0.462481 different species 0.459887 prevention tips 0.449012 proper diagnosis 0.453547 Fungal meningitis 0.574278 Valley fever 0.501979 transplant patients 0.450175 n’t work 0.449701 organ transplant 0.449963 vaginal yeast infection 0.51992 people 0.471379 fungal infections 0.963721 bat droppings 0.452961 healthcare provider 0.448915 human skin 0.457838 Fungal Disease Awareness 0.613692 cause symptoms 0.458615 well-known fungal infections 0.673336	CLICK HERE
6780	Centers for Disease Control and Prevention	Html	en	National Vaccine Campaign - Diphtheria-Iditarod	CDC Works For You 24/7 Saving Lives - Celebrating the Great Race of Mercy to Stop Diphtheria Outbreak in Alaska - Years ago, diphtheria wiped out entire communities, sometimes killing all the children in a family. This is the story of a famous event that galvanized people in the United States to begin to use diphtheria vaccine—which has virtually wiped out the once dreaded disease in this country.'	Great Race 0.620258 1940s 0.436192 diphtheria antitoxin 0.989109 collective efforts 0.596458 Shannon 0.439947 pertussis 0.446387 tetanus 0.44368 lead dog 0.617724 trip 0.439637 temperatures 0.441421 Iditarod Trail Sled 0.790657 —the 0.458649 dogs 0.439724 outbreak 0.555044 national campaign 0.744904 hundreds 0.468693 mail carrier mushers 0.878259 deaths 0.436917 high coverage 0.596923 package 0.475701 journey 0.438904 Dog Race 0.605368 nearest station 0.645652 night 0.436645 diphtheria vaccination 0.79463	diphtheria vaccine 0.921542 dog drivers 0.643476 United States 0.86864 lifesaving race 0.621528 50 degrees below 0.614728 Alaska 0.471815 possible solutions 0.641533 disease 0.459969 unbridled creativity 0.604184 Togo 0.449538 relay 0.490898 Balto 0.453368 fresh teams 0.609677 blizzards 0.436615 people 0.493855 674-mile Nenana-to-Nome Trail 0.835615 whooping cough 0.615477 Territorial Governor Scott 0.852977 diphtheria cases 0.797096 infected children 0.618321 quarantine 0.442704 Bone 0.43641 Leonhard Seppala 0.646787 Gunner Kaasen 0.631563	CLICK HERE
7634	Centers for Disease Control and Prevention	Html	en	National Diabetes Month - November 2012	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. 0.562308 Kidney Diseases 0.583282 Human Services 0.636019 assistive technology 0.564298 Fowler SE 0.537042 Engl J Med 0.555994 MMWR HTML versions 0.649568 U.S. Department 0.632271 electronic PDF version 0.637818 National Institutes 0.550647 Health support 0.550165 Contact GPO 0.561324 National Diabetes 0.795153 weight loss 0.548669 commercial sources 0.53592 current prices 0.532989 National Chronic Kidney 0.699628 injection safety 0.53678 original paper copy 0.64472 Knowler WC 0.564538 similar devices 0.542879 chronic kidney disease 0.855312 print materials 0.541631 United States 0.828178	U.S. Government Printing 0.654727 original MMWR paper 0.645302 New resources 0.541723 Youth study 0.546129 Disease Surveillance 0.542583 lifestyle intervention 0.528279 MMWR readers 0.542545 character translation 0.529973 Insulin pens 0.541209 National Institute 0.555448 format errors 0.530866 diabetes medications 0.747835 subject line 0.560552 typeset documents 0.53739 trade names 0.536011 official text 0.528546 kidney disease trends 0.69411 physical activity 0.548575 U.S. youths 0.556573 young persons 0.558662 non-CDC sites 0.534934 et al 0.533221 electronic conversions 0.527542 diabetes 0.976215	CLICK HERE
7923	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Hospital Discharge Rates Beforeand After Implementation of a City-wide Smoking Ban in a TexasCity, 2004-2008 - CDC	The objective of this study was to examine hospital discharge data on 5 tobacco-related diagnoses before and after implementation of a smoking ban in a small Texas city.	Hospital Inpatient Discharge 0.588493 rate ratio 0.609919 discharge diagnosis 0.543708 Texas rates 0.4975 Tyler 0.584074 before-ban discharge rate 0.595324 control city 0.491312 Texas Health Science 0.603319 Beaumont hospitals 0.509509 Beaumont ban 0.588792 total discharges 0.510283 non-Hispanic black population 0.493961 racial disparity 0.487111 discharge rates 0.9692 total discharge rate 0.607148 intercensal estimate 0.518485 hospital discharge rates 0.722286 tobacco-related diagnoses 0.739546 hospital discharge data 0.677069 East Texas 0.494049 Texas BRFSS data 0.493845 MI discharges 0.488674	rate ratios 0.502323 acute MI 0.706082 nontobacco-related diagnoses 0.491634 hospital discharges 0.517064 cerebrovascular accident 0.489514 before-ban rate 0.508217 smoking ban 0.705588 tobacco-related discharge rates 0.671643 Health Science Center 0.601851 after-ban rate 0.508163 Beaumont 0.734412 Texas 0.60724 intervention city 0.515256 small Texas city 0.522195 residential zip code 0.548754 city-wide smoking ban 0.629247 baseline discharge rate 0.604906 after-ban discharge rate 0.595425 health benefits 0.526816 hospital discharge date 0.589184 acute myocardial infarction 0.587074	CLICK HERE
8282	Centers for Disease Control and Prevention	Html	en	Action needed now to halt spread of deadly bacteria	[Title]	additional life-threatening infections 0.27495 CRE prevention programs 0.526129 CRE rates 0.417035 single health care 0.283822 CDC journal Morbidity 0.284026 bacteria resistant 0.256534 health care personnel 0.296374 health care providers 0.257488 U.S. health protection 0.234959 health care 0.695104 health care professionals 0.282846 key health indicators 0.219561 Vital Signs report 0.421046 CDC Director Tom 0.320284 CRE bacteria 0.665167 potentially untreatable infections 0.281633	health care community 0.318626 CRE prevention 0.536744 CDC’s Division 0.200458 practical CRE prevention 0.535251 health care facilities 0.306634 long-term acute care 0.860296 core prevention measures 0.202015 CRE infection. 0.436206 CRE 0.925944 CRE infections 0.525222 significant medical care 0.241741 CDC report 0.212122 CRE infection 0.431039 past decade 0.245889 acute care facilities 0.836171 Klebsiella pneumoniae 0.259513	CLICK HERE
8599	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - In Memorial, Teofilia Rogowsky Grala	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.	Stanislaw Grala 0.58681 Teofilia Rogowsky–Grala 0.583542 waiting 0.352454 father 0.404151 goodbye 0.360208 Teofilia′s burial site 0.745731 Teofilia′s death 0.561969 husband 0.350608 wife Michaeline 0.542105 burden 0.357143 sister–in–law 0.346992 Bronislawa 0.348629 New Britain 0.572532 children 0.491284 Storyteller 0.356736 aunt 0.360176 arrangements 0.344439 birth mother 0.534279 victims 0.345266 Bronislaw Grala 0.746847 Bernice 0.706237 toys 0.347369 common cause 0.544351 Domonik Rutkowski 0.598447	infant deaths 0.553377 baby son 0.52672 Judi Grala Heit 0.903094 neck 0.346574 people 0.350637 Francesca Grala 0.586712 room 0.348947 doctor 0.348382 death certificate 0.765346 Rogowski 0.374367 infectious disease 0.54635 Lorain 0.360543 doctors 0.345641 Connecticut 0.347399 Bronislaw 0.795307 Rutkowski family 0.587211 Teofilia′s newborn 0.555557 milk infection 0.545568 arms 0.344192 Ohio′s pandemic flu 0.851717 Stanislaw′s death certificate 0.74719 daughter 0.348158 child 0.395426	CLICK HERE
8935	Centers for Disease Control and Prevention	Html	en	Vaccine Information Statement: Shingles - Vaccines - CDC	Shingles Vaccine Information Statement	catch shingles 0.662988 Page 0.398035 body 0.339541 nearest hospital 0.389115 severe allergies 0.455989 severe allergic reaction 0.799726 chills 0.323931 shingles 0.986961 severe problems 0.444549 immune systems 0.398266 clinical trials 0.397456 post-herpetic neuralgia 0.418626 soreness 0.321989 fast heartbeat 0.391152 chickenpox vaccine 0.621584 shingles vaccine 0.946526 Herpes Zoster 0.433627 Vaccine Adverse Event 0.567824 Mild problems 0.394756 behavior changes 0.389521 VAERS website 0.413817 life-threatening allergic reaction 0.521668 person 0.466403 difficulty breathing 0.386938 shingles infection 0.671841	single dose 0.397132 United States 0.39827 upset stomach 0.413971 Varicella Zoster virus 0.508922 medical advice 0.395413 minor acute illness 0.462086 main symptom 0.414519 signs 0.329271 pneumonia 0.319666 state health department 0.463891 Current Edition Date 0.502772 younger people 0.398072 painful skin rash 0.520499 severe allergic reactions 0.549191 severe pain 0.46282 blisters 0.322123 severe acute illness 0.523136 doctor 0.363546 brain inflammation 0.404548 face 0.333613 antibiotic neomycin 0.40386 risk 0.334663 headache 0.342084 gelatin 0.320053	CLICK HERE
9419	Centers for Disease Control and Prevention	Html	es	Adiposidad, marcadores biológicos de enfermedad y resistencia a la insulina en adolescentes mexicoamericanos, 2004-2005.	null	valores metabólicos anómalos 0.428521 body mass 0.426523 Adult Treatment Panel 0.459028 Diabetes Association 0.439776 distrito escolar 0.446904 variable dependiente 0.426931 Nutrition Examination Survey 0.451125 Homeostasis model assessment 0.447717 sexo masculino 0.443741 among us adolescents 0.464384 Texas Pediatric Diabetes 0.449583 Mexican Americans 0.427493 obesity-related metabolic risk 0.426634 colesterol hdl 0.998267 Estados Unidos 0.573733 Pediatr Adolesc Med 0.504169 zona fronteriza texas-méxico 0.450393 Dolan LM 0.426784 colesterol ldl 0.653811 metabolic syndrome 0.577943 Flegal KM 0.448926 baja densidad 0.459158 Diabetes Prevention Study 0.446884 RI frente 0.485038 United States 0.448019	Texas Southmost 0.470613 pediatric diabetes research 0.483603 RI OR 0.447116 Soc Sci Med 0.447641 adolescentes alumnos 0.443895 Program Adult Treatment 0.460831 prevent diabetes 0.437241 alta densidad 0.457036 diabetes tipo 0.963211 Gungor N 0.431406 valores faltantes 0.441888 Arch Pediatr Adolesc 0.50079 Diabetes Care 0.593173 Education Program Adult 0.453825 Cholesterol Education Program 0.452543 Carroll MD 0.441036 obesos también 0.430879 National Cholesterol Education 0.450953 valores antropométricos anómalos 0.429859 subjective social status 0.442827 high blood pressure 0.550844 pediatric metabolic 0.438935 metabolic syndrome components 0.431263 cardiovascular risks 0.426954	CLICK HERE
11835	Centers for Disease Control and Prevention	Html	en	CDC update on Ebola Response and PPE: 10-20-2014 | Media Advisory | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	press briefing 0.583858 Centers 0.25378 CDC director 0.749408 PPE 0.296654 Monday 0.259737 Tom Frieden 0.5679 telebriefing 0.254829 M.D. 0.254231 numbers 0.251357 outbreak responders 0.604596 historical purposes 0.559755 navigation Skip 0.787178 Prevention 0.253637 transcript 0.420219 Disease Control 0.518198 U.S. DEPARTMENT 0.491959 PASSCODE 0.304184 M.P.H 0.294356 Important Instructions 0.518656	dial 0.263818 International 0.255728 Non Media 0.50999 website 0.260823 list Skip 0.789653 CDC Media 0.678637 question 0.417252 page options Skip 0.983777 touchtone phone 0.534122 ET 0.258182 CDC Ebola Response 0.912288 West Africa 0.552959 HUMAN SERVICES 0.491133 visit 0.258432 time 0.252412 15 minutes 0.250616 press conference 0.492197 Audio 0.258197	CLICK HERE
15749	Centers for Disease Control and Prevention	Html	en	The "Retrofitting" Approach to Adapting Evidence-BasedInterventions: A Case Study of Pediatric Asthma Care Coordination,United States, 2010-2014	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.	new practice settings 0.775661 EBI adaptation process 0.82526 asthma care coordinator 0.722775 certain program components 0.754292 asthma care coordination 0.889215 program 0.837155 neighborhood-based Addressing Asthma 0.723999 EBI implementation frameworks 0.783546 core program elements 0.754024 Unified School District 0.845502 Los Angeles Unified 0.842086 asthma care 0.929406 retrofitting 0.771464 EBI elements 0.7871 asthma intervention research 0.750411 YWC core components 0.78878 asthma care coordinators 0.735031 retrofitting elevates 0.735403 asthma control 0.767942 asthma-related outcomes 0.725632 retrofitting concept 0.725188 case study 0.728847 Philadelphia Asthma Care 0.744118 core components table 0.735538	program activities 0.722498 community health workers 0.773297 YWC components 0.743181 Puerto Rico 0.756827 Public Health 0.729004 EBI design 0.748809 intervention components 0.731748 EBI components 0.920402 technical support 0.715409 select EBI components 0.814318 pediatric asthma care 0.818346 EBI pipeline 0.738404 District Asthma Program 0.767075 Childhood Asthma Network 0.843523 Angeles Unified School 0.843398 core components 0.94439 significant retrofitting 0.726454 services 0.75328 asthma action plans 0.726217 retrofitting phenomenon 0.730577 Merck Childhood Asthma 0.842134 Asthma Control Program 0.766166 new model program 0.721873 cross-site evaluation 0.794253	CLICK HERE