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
929	Centers for Disease Control and Prevention	Html	en	CDC Reports Flu Hit Younger People Particularly Hard This Season | Press Release | CDC Online Newsroom | CDC	CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.	influenza infection 0.38278 Mortality Weekly Report 0.364859 flu activity 0.536708 H1N1 virus 0.342574 better flu vaccines 0.455078 currently circulating H1N1 0.349845 Disease Control 0.289409 season 0.564401 pandemic season 0.31174 best preventive tool 0.331494 flu surveillance data 0.486788 Director Tom Frieden 0.375058 flu hospitalizations 0.532878 flu illness 0.556939 age groups 0.287007 H1N1 viruses 0.287409 People age 0.318226 antiviral treatment guidance 0.339187 Younger people 0.316617 high risk 0.400061 second-highest hospitalization rate 0.468042 older people 0.295299 middle-age adults 0.292254 difficult reminder 0.287861 Vaccine Best Tool 0.35971	influenza 0.598005 U.S. Influenza Vaccine 0.409277 age group 0.480793 flu vaccine 0.687683 younger age group 0.383634 percent 0.548422 flu complications 0.397494 flu vaccine effectiveness 0.48237 annual flu vaccine 0.474174 Influenza deaths 0.417197 middle-aged adults 0.29403 middle-aged people 0.35513 high risk factors 0.33295 influenza season 0.364857 flu deaths 0.417906 antiviral drugs 0.342991 people 0.788374 influenza vaccination 0.346115 flu 0.972714 influenza viruses 0.325479 hospitalization rates 0.36625 predominant influenza virus 0.413374 predominant circulating viruses 0.371787 Dr. Frieden 0.365959	CLICK HERE
1160	Centers for Disease Control and Prevention	Html	en	Using Online Reviews by Restaurant Patrons to IdentifyUnreported Cases of Foodborne Illness — New York City,2012–2013	Cassandra Harrison, MSPH1,2, Mohip Jorder, MS3, Henri Stern3, Faina Stavinsky, MS1, Vasudha Reddy, MPH1, Heather Hanson, MPH1, HaeNa Waechter, MPH1, Luther Lowe4, Luis Gravano, PhD3, Sharon Balter, MD1 (Author affiliations at end of text).	online restaurant reviews 0.509122 online foodborne illness 0.57869 true foodborne illness 0.572106 data 0.479442 restaurant-related foodborne illness 0.566294 pilot project 0.520794 New York City 0.867249 reviews 0.729998 unreported restaurant-related outbreaks 0.526724 meal date 0.481878 Yelp 0.595249 DOHMH 0.569377 unreported outbreaks 0.477863 foodborne illnesses 0.541376 foodborne disease epidemiologist 0.662013 foodborne epidemiologists 0.535749 foodborne disease outbreaks 0.542779 review websites 0.526955 foodborne illness complaints 0.623484 Yelp restaurant reviews 0.571122 foodborne illness 0.977912 severe neurologic illness 0.50341 Yelp reviews 0.517797 likely foodborne cause 0.530165	Yelp accounts 0.511842 foodborne cases 0.506818 City restaurant reviews 0.503985 individual criteria 0.51014 unreported restaurant outbreaks 0.484593 DOHMH outbreak investigation 0.527713 foodborne epidemiologist 0.539222 average review score 0.544129 incubation period 0.485027 health departments 0.504105 public health 0.537186 potentially recent illness 0.510839 Yelp account 0.486628 recent foodborne illness 0.627105 health department 0.50303 Restaurant patron reviews 0.48299 potentially recent foodborne 0.529899 review website Yelp 0.548469 restaurant review online 0.47991 reviewers 0.512805 illness symptoms 0.479683 text classification programs 0.501482 illness keyword 0.478405 possible foodborne illness 0.620329	CLICK HERE
1207	Centers for Disease Control and Prevention	Html	en	When Thunder Roars, Go Indoors! | CDC Features	Learn how to protect you and your loved ones during a thunderstorm.	North Carolina 0.408742 electrical systems 0.394308 safety rules 0.398556 thunderstorms 0.396645 lightning injuries 0.632604 electronic equipment 0.400809 fluffy white clouds 0.527654 thunder 0.439838 Correct answer 0.407463 racquets 0.326654 trees 0.320171 Safety precautions 0.499248 lightning capital 0.637477 seasonal differences 0.405165 metal wires 0.396883 lightning deaths 0.640353 lightning 0.933842 greater risk 0.408118 cellular phones 0.398756 metal bench 0.410677 non-concrete shelter 0.405315 Florida 0.339763 television reception systems 0.473001 ground 0.333579 thunderstorm 0.360643	tennis court 0.418021 weather-related fatalities 0.417623 main lightning safety 0.707196 non-concrete structure 0.397691 drive home 0.413784 United States 0.406373 concrete floors 0.498227 concrete walls 0.39758 head 0.321487 crouch 0.320549 electric currents 0.402605 outdoor recreational activities 0.497127 indoors 0.441557 lightning strikes 0.726769 lightning flash 0.66835 one-third 0.322426 New York 0.408887 storm 0.337757 weather forecast 0.527385 lightning-strike injuries 0.403391 slight chance 0.424902 people 0.319425 outdoors 0.336698 clap 0.324909	CLICK HERE
6280	Centers for Disease Control and Prevention	Html	en	Are We Ready for America's Next Flu Challenge? - Media Advisory: September 21, 2011	Are We Ready for America’s Next Flu Challenge?	CDC Director 0.536951 American Medical Association 0.639653 American Academy 0.525493 National Foundation 0.653355 American Pharmacists Association 0.630601 impact influenza 0.709012 13th Floor 0.597163 intradermal vaccine 0.553035 high–dose vaccine 0.552763 disease impact 0.519207 Disease Control 0.530679 Richard Beigi 0.51917 ample vaccine supply 0.65343 health priority 0.535413 Dr. Frieden 0.548898 Indian Health Service 0.641286 public health targets 0.625969 medical/public health experts 0.678531 Pneumococcal disease 0.518293 National Press Club 0.81386 news organization 0.589113 older Americans 0.533409 health professional societies 0.641271 Infectious Diseases 0.648447 vaccination locations 0.574712	national readiness 0.546372 William Schaffner 0.526842 Medical Association 0.67 Dr. Thomas R. 0.647542 United States 0.531938 positive shifts 0.531775 medical experts 0.535433 National Medical Association 0.65193 National Hispanic Medical 0.640732 American College 0.526121 public health 0.713479 influenza season 0.779363 influenza antiviral medications 0.75362 significant strides 0.532887 influenza vaccination rates 0.856605 upward trend 0.524282 influenza vaccination 0.934365 nasal spray vaccine 0.644822 New influenza vaccination 0.814757 public health field 0.651394 NFID 0.581644 Thomas R. Frieden 0.908578 news conference 0.633533 business card 0.591649	CLICK HERE
7405	Centers for Disease Control and Prevention	Html	en	Emergency Room Procedures in Chemical Hazard Emergencies	The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program. This page is a job aid for emergency room procedures in chemical hazard emergencies.	Notify local emergency 0.882584 decon supplies 0.727457 hospital pharmacy 0.683476 emergency room 0.6899 Handle victim 0.717539 cholinesterase poisoning 0.711743 Lewisite Protocol 0.690309 hemorrhaging 0.554039 management authorities 0.6925 eye irritation 0.686818 large amounts 0.692818 blood gases 0.667707 agent identity 0.717643 personal protective equipment 0.995913 personal protection equipment 0.885727 secure hospital entrances 0.862488 Thermal burn 0.683162 Survey extent 0.677605 large burns 0.712173 in-patient treatment 0.669606 Restrict fluids 0.686621 positive M-8 paper 0.839597 emergency treatment 0.66364 possible chemical exposures 0.822394 severe dyspnea 0.838317	hot line 0.714899 deep IM 0.675393 repeat 0.579933 chemical hazard 0.733664 atropine 0.547828 organophosphate 0.550971 airway 0.544852 EMTs 0.543127 suspicion 0.539871 Nerve Agent Protocol 0.8429 MILD DYSPNEA 0.676662 military agent 0.695278 SIGNS WORSEN 0.690754 Hold victim 0.710137 antidotes 0.550441 lbs body 0.676941 chlorine poisoning 0.726861 artificial respiration 0.70206 Chlorine Protocol 0.711471 chest x-ray 0.675115 Mustard Protocol 0.691695 Phosgene Protocol 0.684426 thermal burns 0.702387 Morphine prn 0.689344	CLICK HERE
7656	Centers for Disease Control and Prevention	Html	en	About the David J. Sencer CDC Museum	David J. Sencer CDC Museum	injuries 0.316977 disability 0.318824 honor 0.318276 50th anniversary 0.427857 Health Odyssey Museum 0.544428 museum exhibitions 0.424699 web archives 0.41584 Disease Control 0.420055 global solutions 0.408437 healthy lifestyles 0.414464 case 0.3183 innovative programing 0.454779 rich heritage 0.543449 dynamic educational programming 0.510892 lives 0.318414 past 0.317668 impact 0.318437 commitment 0.319054 Sencer CDC Museum 0.941397 relevance 0.321216 visitors 0.363234 mission 0.338019 international public health 0.518457 field 0.317984	science 0.318124 future work 0.406819 Centers 0.320205 David J. Sencer 0.801546 Inform 0.319734 students 0.338485 Educate middle–and high–school 0.531959 young people 0.4075 Prevention 0.320164 vast accomplishments 0.5631 epidemiology 0.319774 conjunction 0.321996 teachers 0.320577 award-winning exhibits 0.43388 J. Sencer CDC 0.954154 value 0.341229 public health 0.917843 agency 0.317606 Support CDC 0.560473 Centennial Olympic Games 0.523253 Smithsonian Affiliate 0.436863 families 0.318163 popular educational programs 0.526958 longest serving director 0.520894	CLICK HERE
8279	Centers for Disease Control and Prevention	Html	en	Press Briefing Transcript - Vital Signs Telebriefing on Carbapenem-Resistant Enterobacteriaceae	[Title]	hospitals 0.521878 multi-drug resistant bacteria 0.462505 Okay.  Thank 0.497241 CRE bacteria 0.541297 CRE rates. 0.523539 infections 0.540325 bacteria.  Dr. Srinivasan 0.501487 resistant bacteria 0.473022 CRE. 0.486646 tom frieden 0.85103 CRE organisms 0.514453 mike stobbe 0.494435 healthcare facilities 0.592824 Okay.  Dr. Srinivasan 0.490844 carbapenem-resistant enterobacteriaceae.  CRE 0.544354 well.  Dr. Srinivasan 0.494555 ARJUN SRINIVASAN 0.977691 CRE 0.804602 CRE infections 0.530315 acute care hospitals 0.516349 nursing homes.  CRE 0.54349 Vital Signs 0.514629 CRE patients. 0.523021 dan childs 0.471858 TOM SKINNER 0.788155	chance CRE 0.52132 Srinivasan.  Dr. Frieden 0.496583 michelle marill 0.473381 delthia ricks 0.554892 health departments 0.565906 Dr. Tom Frieden 0.514099 CRE tool kit 0.528557 E. coli 0.473011 drug resistant infections 0.463521 New York 0.545358 Vital Signs report 0.472907 question 0.568862 Okay.  Thank you. 0.462901 lena sun 0.489401 high fatality rate 0.47493 medical care 0.464301 long-term acute care 0.571278 OPERATOR 0.464511 healthcare workers 0.540867 urinary tract infections 0.484077 CRE patients 0.508892 Dr. Frieden 0.608692 CRE infection 0.535409 active surveillance 0.466992	CLICK HERE
9904	Centers for Disease Control and Prevention	Html	en	HIV Prevention Q and A - HIV Basics - HIV/AIDS	Answers to questions such as: How can I prevent getting HIV from anal or vaginal sex? How can I prevent getting HIV from oral sex? Can I take medicines to prevent getting HIV?	pre-exposure prophylaxis 0.449664 emergency room doctor 0.362514 male condom 0.391214 STD testing site 0.359099 health care provider 0.603941 right way 0.704343 CDC’s HIV 0.611279 viral load 0.401097 anal sex 0.490318 nitrile female condoms 0.374602 post-exposure prophylaxis 0.382968 needs 0.360235 sex partner 0.344924 oral sex 0.477511 ongoing sexual relationship 0.360573 body fluids 0.389709 HIV Risk Reduction 0.749202 HIV-positive partner 0.387931 HIV medicines 0.440401 sexually transmitted diseases 0.421358 female condoms 0.39324 long-term health consequences 0.359764 undetectable viral load 0.358104 condom 0.429697 needles 0.362587	condoms 0.434146 antiretroviral therapy 0.407502 sexual behaviors 0.353543 Risk Reduction Tool 0.694818 receptive anal sex 0.370743 bisexual male partners 0.35854 HIV transmission 0.438092 unknown HIV status 0.439508 chance 0.343975 drugs 0.350177 sex 0.698209 HIV test 0.384856 vaginal sex 0.421879 PrEP 0.380944 sexual partners 0.344571 BETA 0.346799 HIV 0.915286 partner 0.451599 partners 0.40755 STDs 0.388495 information 0.370687 PEP 0.363693 time 0.359469 HIV infection 0.540114	CLICK HERE
11726	Centers for Disease Control and Prevention	Html	en	Norovirus | Outbreak Reporting in NoroSTAT | CDC	Diagram showing process flow of norovirus outbreak reporting within NoroSTAT.	MPEG 0.741242 site 0.541063 PDF 0.544429	PPT 0.837268 DOC 0.733754	CLICK HERE
12028	Centers for Disease Control and Prevention	Html	en	Colorectal Cancer	Colorectal Cancer - Gateway to Health Communication - CDC	stool 0.413431 Types 0.41021 colorectal polyps 0.607974 abnormal growths 0.523596 cancer.  Screening 0.453468 cancer-related deaths 0.470777 colorectal cancer screening 0.601063 Inflammatory Bowel Disease 0.501959 precancerous colorectal polyps 0.603128 fear 0.419468 colorectal cancer 0.91213 test 0.410017 weight 0.410887 symptoms 0.435937 aches 0.415232 colon cancer. 0.452975 tests 0.430282 Colitis increases risk 0.502526 cancers 0.412726 rectum. 0.412014 women 0.475503 early stages 0.509478 prep procedures 0.454025 cause 0.410466 Chrohn 0.410502	colonoscopy. 0.410067 US. 0.411943 common cancer 0.46816 U.S. 0.411789 hassle 0.412119 men 0.475549 colonoscopy 0.41239 stomach pains 0.462746 cases 0.410984 colorectal cancer. 0.547842 lifestyle risk factors 0.494095 Ulcerative 0.412144 highest rates 0.452953 people 0.434141 blood 0.410942 doctor. 0.409978 rectal cancer. 0.491172 doctor 0.41009 family history 0.506905 African-American men 0.453802 Lucy 0.409993 colorectal cancer increases 0.611597 cramps 0.413406 racial/ethnic groups.  Rates 0.498719	CLICK HERE