ARTICLES LIST

Clear Search

Select the Article Source National Cancer Institute Office of Dietary Supplements National Institute on Aging Healthfinder.gov National Institute of Child Health and Human Development Centers for Disease Control and Prevention Administration for Children and Families National Institute of Environmental Health Sciences National Library of Medicine National Institute of Allergy and Infectious Diseases National Center for Complementary and Integrative Health National Institute of Neurological Disorders and Stroke NIH Senior Health National Institute of Arthritis and Musculoskeletal and Skin Diseases Health and Human Services National Institute of General Medical Sciences National Institute of Dental and Craniofacial Research National Human Genome Research Institute Food and Drug Administration Center for Tobacco Products Public Health and Medical Emergency Support for a Nation Prepared Office of Disease Prevention and Health Promotion, Healthy People National Institute on Drug Abuse National Institutes of Health National Institute of Diabetes and Digestive and Kidney Diseases U S Food and Drug Administration National Institute on Deafness and Other Communication Disorders National Heart, Lung, and Blood Institute

Media ID	Source Name	Media Type	Language	Media Name	Media Description	Keywords	Keywords	Link to Article
556	Centers for Disease Control and Prevention	Html	en	Antibiotics Aren't Always the Answer | CDC Features	Antibiotics can be life saving, but they aren't always the answer.	future antibiotic-resistant infections 0.621482 crushed ice 0.499731 emergency rooms 0.51569 international partners 0.518751 viral infections 0.632801 Disease Control 0.51905 correct treatment 0.495854 best treatment options 0.580843 prescription drugs 0.494509 sore throat spray 0.595401 Unneeded antibiotics 0.617302 young children 0.500669 hospital-based clinics 0.520412 colds 0.452991 Smart About Antibiotics 0.641306 flu illness 0.518534 flu antiviral drugs 0.59762 sore throats 0.649133 cool-mist vaporizer 0.498603 symptoms 0.437314 adverse drug reactions 0.593926 saline nasal spray 0.580913 health care settings 0.611575 antibiotics 0.812749	child 0.504378 over-the-counter products 0.510912 viral infection 0.607411 potential risks 0.500203 United States 0.516007 cause 0.436302 symptom relief 0.50507 best treatment option 0.587389 healthcare 0.519539 lozenges 0.432917 best treatment 0.696848 antibiotic resistance 0.979487 national priority 0.511531 honey 0.433707 fluids 0.442092 harmful side effects 0.605888 prescription drug 0.499247 bronchitis 0.450078 wrong medicine 0.497505 doctor’s offices 0.515775 bacterial infection 0.506359 unnecessary antibiotic prescriptions 0.798725 over-the-counter treatment options 0.585409 treatment options 0.588495	CLICK HERE
7988	Centers for Disease Control and Prevention	Html	en	Noninfluenza Vaccination Coverage Among Adults - UnitedStates, 2011	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.	tetanus vaccination status 0.488115 United States 0.327133 vaccine type 0.33514 vaccination services 0.322391 adults 0.549047 Tetanus Vaccination Coverage 0.432699 whooping cough vaccine 0.319349 adult vaccination coverage 0.460152 higher Tdap coverage 0.319576 HPV vaccine 0.368245 noninfluenza adult vaccination 0.358442 percentage points 0.531649 Influenza vaccination coverage 0.39854 vaccination type 0.337499 vaccination coverage 0.932177 zoster vaccination coverage 0.405723 previous PPSV23 vaccination 0.349908 adult patient vaccination 0.34908 vaccination target criteria 0.368739 Tdap 0.493175 tetanus vaccine 0.324496 vaccination coverage levels 0.413788 hepatitis A vaccination 0.344209 hepatitis b vaccination 0.391605	percentage point increase 0.471322 Tdap vaccination status 0.394425 acellular pertussis vaccine 0.334952 herpes zoster vaccination 0.417599 Tdap coverage 0.410175 hpv vaccination 0.402768 providers incorporate vaccination 0.370691 Successful vaccination programs 0.343767 adolescent vaccination program 0.344347 respondents 0.338317 persons 0.328956 vaccine 0.49383 practice-level vaccination rates 0.344582 tetanus shot 0.333493 pneumococcal vaccination coverage 0.425161 pneumococcal vaccination status 0.352822 vaccination intentions 0.325146 high risk 0.405904 HPV Vaccination Coverage 0.386449 Tdap vaccination 0.492534 yrs 0.705169 tetanus vaccination 0.729398 active booster vaccination 0.351274	CLICK HERE
8342	Centers for Disease Control and Prevention	Html	en	TB - Basic TB Facts - TB Personal Stories	Division of Tuberculosis Elimination	country 0.338968 standard TB treatment 0.681856 cough 0.321649 bronchoscopy 0.354507 severe bronchitis 0.408243 mother 0.335524 CAT scan 0.479333 numerous misdiagnoses 0.416839 ‘This sounds 0.405322 busy schedule 0.392282 young daughters 0.414667 tuberculosis 0.321415 doctor visits 0.397932 mom’s café 0.410473 Texas Department 0.393008 Kim much credit 0.40652 frightening disease 0.396491 bright spot 0.390353 Texas TB control 0.660514 public health TB 0.654684 TB symptoms 0.59006 dental hygienist 0.411388 antibiotics 0.320979 Kenni 0.660124 lung specialist 0.405126	public health nurse 0.467846 respiratory illness 0.412376 fever 0.339775 emergency room. 0.404837 State Health Services 0.468953 correct diagnosis 0.408648 good news 0.414225 terrific person 0.396148 pneumonia 0.321577 long treatment regimen 0.476294 blood work 0.399322 respiratory infection 0.40498 big white cloud 0.481874 right treatment 0.411695 severe pain 0.394887 TB 0.967895 help 0.350088 TB medicine 0.580583 physician assistant 0.398453 multiple pills 0.397175 TB nurse 0.587756 TB control program 0.823582 chest x-ray 0.509842 ribs 0.321106	CLICK HERE
9040	Centers for Disease Control and Prevention	Html	en	Babesiosis - General Information - Frequently Asked Questions	Frequently Asked Questions (FAQs) about Babesiosis, babseia microti, ticks, ixodes scapularis,fact sheets, prevention and control, epidemiology, diagnosis and treatment, resources for health professionals.	red blood cells 0.894857 severe babesiosis 0.389073 Babesia parasites 0.644366 health care provider 0.974172 eastern Long Island 0.349301 body aches 0.239089 young nymph stage 0.355828 Reportable conditions 0.265453 New York state 0.566918 adult stage 0.236391 coastal areas 0.230194 main species 0.247968 Yes. People 0.245458 Health care providers 0.359266 Infected people 0.30722 health conditions 0.257154 symptomatic people 0.259826 microscopic parasites 0.287536 Daily tick checks 0.340195 white-footed mice 0.250836 infected mother 0.266997 New England 0.237785 important food source 0.351581 Yes. Effective treatments 0.321539 Occasional cases 0.240969	United States 0.245408 white-tailed deer 0.241886 Shelter Island 0.240202 different species 0.248998 state health department 0.361792 Babesia species 0.377804 Ixodes scapularis ticks 0.486955 Block Island 0.234514 contaminated blood transfusion 0.367598 Rhode Island 0.23375 flu-like symptoms 0.248685 health department 0.502436 Babesia microti 0.482469 off-shore islands 0.233435 babesiosis 0.59345 people 0.384621 New Jersey 0.237657 infected person 0.247955 tickborne infections 0.363488 Martha’s Vineyard 0.229691 tick bite 0.25986 I. scapularis ticks 0.418004 B. microti 0.349911 deer ticks 0.321342	CLICK HERE
9230	Centers for Disease Control and Prevention	Html	en	Cervical Cancer Prevention - CDC	Two tests, the Pap test and human papillomavirus (HPV), can help prevent cervical cancer	reason 0.318783 *HPV infection 0.38529 condoms 0.320009 Pap test results 0.674968 lower your risk 0.380249 boys 0.317188 girls 0.317179 HPV vaccine 0.4113 cervical cancer— 0.529399 precancers 0.320702 HPV 0.418755 total hysterectomy 0.390681 Pap tests 0.548058 checkup 0.325174 regular screening tests 0.460684 Pap test 0.925638 cervix 0.354174 types 0.317389 preteens 0.32226	chance 0.318567 HPV test 0.414143 important thing 0.390045 fibroids 0.319759 sex 0.317899 female genital areas 0.45392 cervical cancer 0.794546 doctor 0.389088 HPV infection 0.407297 regular Pap tests 0.524033 lower rate 0.380823 non-cancerous condition 0.393964 vulvar cancers 0.391774 latex condom 0.39057 cell changes 0.404242 normal Pap test 0.544613 age 0.396798 women 0.333128	CLICK HERE
11903	Centers for Disease Control and Prevention	Html	en	CDC Nowcasting the Spread of Chikungunya in Americas	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	countries increases 0.375016 CDC 0.473691 infected travelers 0.457902 mosquito bites 0.387424 chikungunya-infected travelers 0.388301 new local transmission 0.496878 chikungunya introduction 0.587348 CDC experts 0.396794 uses data 0.385017 response activities 0.374172 sporadic local transmission 0.458074 interactive web-based model 0.462796 Disease Control 0.38377 likely introduction 0.394878 proactively implement prevention 0.433133 chikungunya virus transmission 0.733948 probability 0.42467 model estimates areas 0.480681 dengue virus 0.404651 global maps 0.380001 public health officials 0.429383 locally transmitted cases 0.426318 new website 0.381519 chikungunya infection 0.58882 healthcare providers 0.374621	CDC model 0.417669 different model scenarios 0.434373 nowcast website 0.375258 United States 0.771367 mosquito-borne chikungunya virus 0.750133 chikungunya activity 0.632494 chikungunya virus 0.784524 continental United States 0.432018 CDC biologist 0.40391 local transmission 0.865534 great degree 0.375993 monthly estimates 0.398602 CDC nowcast model 0.464388 southern United States 0.450302 airline travel patterns 0.451971 CDC-developed mathematical model 0.451291 mosquito-borne illnesses 0.376377 local chikungunya transmission 0.816425 Caribbean outbreak 0.378966 chikungunya risk 0.58896 Early recognition 0.374332 chikungunya 0.980276 South American locations 0.437455 chikungunya cases 0.755144	CLICK HERE
12101	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Test of an Electronic Programto Query Clinicians About Nonspecific Causes Reported for PneumoniaDeaths, New York City, 2012 - CDC	We tested an electronic cause-of-death query system at a hospital in New York City to evaluate clinicians’ reporting of cause of death. We used the system to query clinicians about all deaths assigned International Classification of Disease code J189 (pneumonia, unspecified) as the underlying cause of death. Of 29 death certificates that generated queries, 28 were updated with additional information, which led to revisions in the underlying cause of 27 deaths. The electronic system for querying reported cause of death was feasible and enabled quicker than usual responses; however, follow-up with clinicians to ensure timely, accurate, and complete responses was labor-intensive. Educating clinicians and enforcing reporting standards would reduce the time and effort required to ensure accurate and timely cause-of-death reporting.	electronic death query 0.408622 medical department heads 0.375114 timely query responses 0.380949 Prev Chronic Dis 0.375448 medical examiner 0.396526 standardized international algorithm 0.430048 query responses 0.381146 Begier E. Test 0.382164 New York City 0.997316 departments query clinicians 0.422023 unspecified pneumonia deaths 0.418174 clinicians 0.461147 York City health 0.414051 additional information 0.382304 electronic death registration 0.40046 Nonspecific Causes Reported 0.395002 DOHMH physician review 0.380716 underlying cause 0.39756 public health epidemiologist 0.375382 York City requirements 0.392592 electronic cause-of-death query 0.408942 Vital Statistics 0.394259 York City DOHMH 0.429047 corresponding International Classification 0.373052 International Classification 0.417345	hospital administrative staff 0.375702 public health/preventive medicine 0.412822 quality assurance staff 0.432948 health code 0.377578 death 0.550392 underlying medical condition 0.399099 York City guidelines 0.392351 cause 0.48406 Electronic Vital Events 0.376432 death registration 0.449205 health departments 0.403337 death certificates 0.413734 accurate cause-of-death information 0.373368 DOHMH quality assurance 0.375661 new clinician education 0.392422 query clinicians 0.426415 York City Department 0.457705 enables health departments 0.379681 DOHMH information requests 0.386491 ICD-10 code 0.390914 Public Health Service 0.375158 York City hospitals 0.40093 ICD-10 codes 0.391928 medical records 0.376597	CLICK HERE
12133	Centers for Disease Control and Prevention	Html	en	Disease Detective: Dan - CDC Responds to the 2014 Ebola Outbreak	CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives.	reminders 0.42276 hand shake 0.522492 crowd 0.424866 survival rates 0.517863 friendships 0.427662 health official 0.520527 community cooperation 0.520869 outbreak 0.458703 single village 0.521694 African greetings 0.512913 patients 0.422848 CDC epidemiologist 0.556009 strange juxtaposition 0.535956 collegial lives 0.532343 steps 0.422651 Tonkolili District 0.54385 unreported Ebola cases 0.767603 Joy 0.423529 Ebola Treatment Unit 0.805949 job 0.447721 Ebola 0.862677 daughter 0.423747 CDC staffer 0.547734 CDC help 0.534332 Ebola survivor 0.69166	tears 0.426576 distance 0.424493 Dan’s time 0.525701 Sierra Leone 0.997971 warm homecoming 0.526228 investigate 0.423903 frequent contact 0.531479 house 0.4253 youngest son 0.524216 surreal way 0.512686 Daddy 0.42386 local health workers 0.850421 clusters 0.422921 death sentence 0.525019 stories 0.422103 touch-free lives 0.514425 team 0.446747 people 0.492524 Syndrome 0.421562 African Ebola epidemic 0.80991 Dan 0.539316 West African friends 0.607653 recent spike 0.52423 hug 0.455947	CLICK HERE
12554	Centers for Disease Control and Prevention	Video	en	CDC: Tips From Former Smokers - Brian's Stroke and Slow Recovery	Brian never imagined he could have a stroke at age 43. He was in good health. But smoking, combined with having HIV, caused a stroke when he was doing what he loved most—working at the potter's wheel. In this video from CDC's Tips From Former Smokers campaign, Brian talks about the day of his stroke and his efforts to recover. 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=3d52959500a7f0a9a1c9ccc952d5a61f20140925163911718	Brian 0.46627 Stroke 0.752543 Smokers 0.869648	CDC 0.852599 Slow Recovery 0.980929 YouTube 0.825835	CLICK HERE
13428	Centers for Disease Control and Prevention	Video	en	Diagnosis and Testing | Lyme Disease Video	HHS Federal Research Update on Lyme Disease Diagnostics Webinar 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/vod2.php?id='la7c5133d88640c4b8b04d99ba611050720121105133242217	Lyme 0.322354 Disease Diagnostics Webinar 0.990804	HHS Federal Research 0.84901 Update 0.283549	CLICK HERE