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
6672	Centers for Disease Control and Prevention	Html	en	A Population Approach to Mitigating the Long-Term Health Effects of Combat Deployments	CDC - Wide Page example description goes here	Farrow VA 0.465561 mental health 0.889653 mental health disorders 0.458664 no-fee VA care 0.57224 Veterans Health Administration 0.519355 national health care 0.505289 health care team 0.50623 health care delivery 0.505746 VA career development 0.501231 population health model 0.498808 outlines VA 0.526476 service members 0.864809 veteran health care 0.516642 Veterans Affairs polytrauma 0.502365 Veterans Affairs health 0.520246 VA facilities 0.552935 VA’s role 0.511318 traumatic brain injury 0.552561 polytrauma clinical triad 0.471358 OEF/OIF/OND veterans 0.534321 health care facilities 0.505479 mental health concerns 0.457026 VA Connecticut Healthcare 0.502682 population health management 0.556876 OEF/OIF/OND service members 0.463366	injured service members 0.506746 VA Puget Sound 0.49822 health care needs 0.578551 mental health diagnoses 0.55641 City VA Healthcare 0.503431 local VA 0.483442 mental health disorder 0.497144 VA approach 0.497091 VA polytrauma site 0.571988 OEF/OIF veterans 0.497242 postcombat care 0.487051 combat veterans 0.789657 VA OEF/OIF patients 0.535693 VA health care 0.983028 Afghanistan war veterans 0.474608 VA outreach 0.474016 mental health care 0.514338 VA’s EHR 0.494281 VA’s doors 0.47135 Veterans Affairs 0.544161 VA Spinal Cord 0.508265 mental health conditions 0.577617 VA medical centers 0.564127 VA medical center 0.526541	CLICK HERE
8083	Centers for Disease Control and Prevention	Html	en	Media Relations - EID News Synopsis: March 2013	EID News Synopsis: March 2013	skin infections 0.782604 chicken meat 0.716563 Pacific Northwest outbreak 0.799113 Technical University 0.797636 foodborne campylobacteriosis 0.719322 CDC study 0.761971 infected animals 0.726188 South Florida Morsani 0.78648 fungal infection 0.736231 National Food Institute 0.965482 contact 0.742737 C. gattii 0.86602 bhal@food.dtu.dk 0.718309 explosive measles 0.734856 stepped-up vaccination plan 0.806816 recreational activities 0.709567 United States 0.877511 Leptospirosis trends 0.723293 biosecurity measures 0.711564 patients 0.717291 bacterial diarrheal illness 0.818687 severe leptospirosis 0.731893 older age groups 0.787356 fly screens 0.793618 foodborne illness 0.710369	Simon Bahrndorff 0.712564 Infectious Diseases 0.819828 vaccination catch-up 0.710831 c.wong@kit.nl 0.713418 high vaccination coverage 0.800065 ongoing outbreak 0.712322 Biomedical Research department 0.796983 bacterial disease 0.713538 Moffitt Cancer Center 0.788804 chicken houses 0.793683 Royal Tropical Institute 0.942993 water-related sport 0.710978 public health journal 0.828164 leg infection 0.733886 North Carolina–Chapel Hill 0.782835 northwest United States 0.789357 Facilities Department 0.711505 Study results 0.718259 low number 0.710521 common source 0.724977 Cryptococcus gattii infections 0.811593 p.m. EDT 0.733496 European Union 0.722573 John N. Greene 0.783284	CLICK HERE
8631	Centers for Disease Control and Prevention	Html	en	Additional H7N9 Cases Reported in China	Additional H7N9 Cases Reported in China; CDC receives virus isolate.	H7N9 viruses 0.538529 probable human-to-human spread 0.529272 H5N1 Virus Infection 0.63849 pre-existing immune protection 0.508601 CDC diagnostic test 0.552686 H7N9 infections 0.498262 avian influenza 0.915346 non-sustained person-to-person spread 0.537135 initial transmission 0.493624 avian influenza viruses 0.664282 human influenza viruses 0.554872 human cases 0.506708 Chinese National Health 0.50778 H5N1 patients 0.504725 H7N9 vaccine 0.492906 human-to-human spread 0.565891 virus isolate 0.584359 limited person-to-person transmission 0.559432 human blood samples 0.520003 Family Planning Commission 0.50656 new avian influenza 0.595614 standard pandemic preparedness 0.526128 pathogenic avian influenza 0.56175	China 0.504857 CDC Travelers 0.491375 Weekly Epidemiological Record 0.497014 efficient transmission 0.490169 CDC website 0.490715 health care workers 0.503262 candidate vaccine virus 0.721838 human-to-human transmission 0.590593 novel influenza virus 0.651594 H5N1 viruses 0.518072 World Health Organization 0.509552 proper USDA permits 0.502345 influenza pandemic 0.498183 North-West Frontier Province 0.49386 U.S. public action 0.497224 human infections 0.593057 new virus 0.537219 h5n1 virus 0.661983 person-to-person H5N1 transmission 0.608667 influenza pandemics 0.494309 Probable Person-to-Person Transmission 0.566224 limited transmission 0.502647	CLICK HERE
8647	Centers for Disease Control and Prevention	Html	en	PanFlu Storybook - Finding A Cure, William "Bill" Miner	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.	pandemic flu 0.651489 belladonna 0.405726 aconite 0.439097 Albuquerque 0.380915 fever 0.268653 husband 0.282349 long periods 0.550785 states 0.267029 Atlanta 0.269328 children 0.267125 New Mexico area 0.894333 Massachusetts 0.345813 Storyteller 0.293282 Carolyn O′Mara 0.652177 interesting thing 0.561091 long time 0.526975 family′s neighbor 0.627452	elderly gentleman 0.635818 ceiling 0.277182 wife 0.272674 Dot 0.273369 94th birthday 0.626857 asthma 0.269487 William 0.267796 plutonium 0.291621 home 0.267476 Miner 0.288761 Springfield 0.269106 hospital room 0.577005 Los Alamos 0.981509 Georgia 0.269263 daughter 0.274613 Alamos National Laboratory 0.884889 Location 0.277969	CLICK HERE
8689	Centers for Disease Control and Prevention	Html	en	Announcements: Healthy Vision Month - May 2013	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. 0.52854 American Academy 0.513334 Wood JM 0.510498 Human Services 0.582484 assistive technology 0.526794 Opththalmol Vis Sci 0.599425 Vision Health Initiative 0.686141 age-related eye disease 0.6373 lifetime priority 0.51691 Elam-Evans LD 0.511217 eye health 0.562994 MMWR HTML versions 0.594557 U.S. Department 0.580606 eye diseases 0.62654 electronic PDF version 0.594773 vision impairment 0.914479 Crews JE 0.512336 early detection 0.61896 Cotch MF 0.510578 age-related macular degeneration 0.612925 American Optometric Association 0.60995 National Institutes 0.514331 undetected vision problems 0.669493 injurious falls 0.520816	Additional information 0.512598 Contact GPO 0.521057 functional vision loss 0.643174 fall-related injuries 0.521824 original paper copy 0.588431 low vision 0.568675 United States 0.739115 Qual Life Res 0.612674 original MMWR paper 0.602101 U.S. Government Printing 0.595232 Health Aff 0.525211 Kerr GK 0.513075 reduced overall health 0.626526 daily activities 0.517345 National Eye Institute 0.641275 visual impairment 0.692791 timely treatment 0.511877 related chronic conditions 0.589486 Vision disorders 0.564431 common chronic condition 0.610455 subject line 0.526292 Healthy Vision 0.63426 eye examination 0.527971 eye safety practices 0.62984	CLICK HERE
12706	Centers for Disease Control and Prevention	Video	en	Preconception Health	Preconception health means taking care of your own health now to make sure that if you choose to start a family; you'll be healthy for yourself and your future baby. Whether you're thinking about now, the near future or not at all, the key is setting goals, making a plan, and most importantly, taking care of yourself during preconception since your health before pregnancy can affect the health of your baby. 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://www.cdc.gov/CDCTV/PreHealth_Full/index.html	YouTube 0.598033		CLICK HERE
13407	Centers for Disease Control and Prevention	Html	en	Monitoring Exposure to Ebola and Health of U.S. MilitaryPersonnel Deployed in Support of Ebola Control Efforts - Liberia,October 25, 2014-February 27, 2015	Anthony P. Cardile, DO1; Clinton K. Murray, MD2; Christopher T.	Ebola exposure risk 0.484234 twice-daily monitoring 0.339669 Ebola infection 0.462952 Ebola disease 0.374508 Ebola symptoms 0.393481 public health authorities 0.340501 febrile U.S. personnel 0.299907 service members 0.953679 deployed service member 0.327613 Ebola Control Efforts 0.50572 comprehensive monitoring 0.259939 DoD personnel 0.274638 train health care 0.256882 Ebola RT-PCR testing 0.445679 febrile illness 0.289339 unit monitoring 0.50999 persons 0.272788 DoD medical facility 0.255213 potential Ebola exposures 0.488223 unit monitoring program 0.280108 Ebola 0.867356 Ebola virus disease 0.504434 Ebola risk assessment 0.487458 U.S. military units 0.349877 Ebola epidemic 0.416668	u.s. military personnel 0.501907 possible Ebola 0.397702 United States 0.272431 epidemiologic risk factor 0.339691 Ebola exposure 0.550211 Ebola infections 0.379525 exposure risk categories 0.283718 U.S. military installations 0.380297 monitoring program 0.285943 close contact 0.359267 health care workers 0.368683 public health 0.371203 Ebola-affected country 0.262389 Military public health 0.272598 Military Personnel Deployed 0.412412 Ebola exposures 0.727612 monitoring areas 0.265717 Liberia 0.418142 Ebola patient 0.387528 Ebola treatment units 0.511889 Ebola testing 0.478993 Todd J. Vento 0.346576 twice-daily unit monitoring 0.290345 activity restrictions 0.431106	CLICK HERE
15655	Centers for Disease Control and Prevention	Html	en	US breastfeeding rates are up! CDC helps pave the way. | Features | CDC	Visit DNPAO to learn how you can support breastfeeding. Get the latest data on the breastfeeding rates. Use the Breastfeeding Report Card to track changes in breastfeeding over time and compare your rates to other states.	professional breastfeeding support 0.856307 Mortality Weekly Report 0.589848 observance 0.420481 release 0.416513 evidenced-based maternity care 0.579511 newest data 0.496344 mothers 0.436574 important progress 0.496256 federal government 0.496267 World Breastfeeding 0.836884 best start 0.494704 health care providers 0.568446 nation’s progress 0.511888 exclusive breastfeeding 0.785169 work 0.431574 Breastfeeding Report Cards 0.833406 community-based organizations 0.492877 births 0.417599 nutrition 0.436777 black women 0.502774 Maps database 0.493648 racial disparities 0.520661 woman 0.41784 access 0.416843	overall increases 0.503513 professional lactation support 0.573011 United States 0.492981 challenges 0.433749 DNPAO’s Data 0.489419 hospital cover 0.49543 Physical Activity 0.494723 state changes 0.493553 percentage points 0.507591 local health departments 0.565736 MMWR 0.435588 recent CDC study 0.601862 Visit CDC 0.501223 significantly lower rates 0.583359 NH white infants 0.81603 white infants 0.817006 Morbidity 0.422148 U.S. babies 0.534175 NH black infants 0.815828 Surgeon General 0.494777 best source 0.512713 barriers 0.417397 information 0.41786 breastfeeding 0.912596	CLICK HERE
16266	Centers for Disease Control and Prevention	Html	en	FastStats - All Injuries	null	Department Summary Tables 0.60596 Summary Health Statistics 0.633256 medical treatment 0.623367 injuries 0.443936 poisoning episodes 0.569288 Final Data 0.509957 emergency department visits 0.631641 Ambulatory Medical Care 0.818809 National Health Interview 0.633948 Source 0.518604 Traumatic Brain Injury 0.597856 PDF 0.536238 Number 0.590433 Survey Demonstration Projects 0.596685 Table P-5 0.530691	KB 0.457543 Nonfatal Injury Episodes 0.605824 deaths 0.981624 poisoning heroin deaths 0.791457 National Ambulatory Medical 0.627308 NCHS Data 0.5314 population 0.813842 National Hospital Ambulatory 0.619903 Medical Care Survey 0.79422 Summary Tables 0.617756 medically attended injury 0.658862 drug poisoning 0.708228 adverse effects 0.646272 physician offices 0.522672 NCHS Fact Sheet 0.620651	CLICK HERE
16359	Centers for Disease Control and Prevention	Html	en	Notes from the Field: Large Tuberculosis ContactInvestigation Involving Two Hospitals - Okaloosa County, Florida,2014 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	hospital contacts 0.491326 HIV-negative male patient 0.490833 TST testing results 0.667904 Okaloosa County 0.457246 community contacts 0.44715 positive TST results 0.728028 tuberculosis disease 0.571479 employee screening records 0.443134 different units 0.437013 hospital A ICP 0.456468 annual risk assessments 0.452591 pulmonary cavities 0.446058 mm TST result 0.633018 nurses 0.466595 skin test antigen 0.437815 past positive TST 0.627076 tuberculosis transmission 0.618611 skin test conversions 0.473123 percutaneous endoscopic gastronomy 0.437258 PPD TST antigen 0.591326 clinical tuberculosis disease 0.530082 obstructive pulmonary disease 0.446594 interferon gamma release 0.453655 staff schedules 0.456546 TST conversions 0.760366	positive TST result 0.622909 infection control practitioner 0.45024 putative source patient 0.49135 hospital A. 0.47685 source patient 0.624529 Florida Department 0.452086 hospital 0.691081 random TSTs 0.456493 acid-fast bacilli smears 0.443267 undiagnosed tuberculosis 0.488491 staff members 0.651408 TST induration 0.586337 positive TST 0.914219 staff member conversions 0.512833 tuberculin skin test 0.703264 negative result 0.453186 hospital staff members 0.626368 positive IGRA result 0.515625 IGRA test result 0.508435 nurse staff schedules 0.454279 latent tuberculosis infection 0.521167 possible index patient 0.487462 Thirteen hospital workers 0.48436 newly hired employees 0.447964	CLICK HERE