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
731	Centers for Disease Control and Prevention	Html	en	Announcements: Get Smart About Antibiotics Week - November18-24, 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. 0.749101 annual observance 0.756611 Antibiotics Work 0.850061 Human Services 0.814379 assistive technology 0.749403 Engl J Med 0.74454 broad-spectrum antibiotics 0.866064 MMWR HTML versions 0.827498 U.S. Department 0.811516 U.S. outpatient 0.737939 antibiotic use campaigns 0.865618 electronic PDF version 0.816613 Clin Infect Dis 0.842766 antibiotic treatment 0.876162 Dellit TH 0.753624 Contact GPO 0.744971 Smart About Antibiotics 0.854873 commercial sources 0.722952 Hunkler RJ 0.732214 original paper copy 0.822025 America guidelines 0.724969 Healthcare programs 0.733064 Hersh AL 0.732454 acute care hospitals 0.843215	Hicks LA 0.73696 antimicrobial stewardship 0.734967 nonprofit partners 0.732345 United States 0.737602 U.S. Government Printing 0.832413 original MMWR paper 0.823975 Healthcare Epidemiology 0.722804 for-profit partners 0.736334 bacterial infections 0.739922 MMWR readers 0.729629 ambulatory care visits 0.86205 Health-care providers 0.742129 antibiotic resistance 0.997543 McGowan JE 0.733108 Antimicrob Chemother 0.726285 subject line 0.747085 Drug-resistant infections 0.749292 typeset documents 0.724073 trade names 0.723026 ambulatory care 0.867181 respiratory conditions 0.734571 week-long observance 0.755775 Taylor TH Jr 0.854107 essential tool 0.73275	CLICK HERE
1275	Centers for Disease Control and Prevention	Html	en	Notifiable Diseases and Mortality Tables	Table I   Summary of provisional cases of selected notifiable diseases, United States, cumulative, week ending August 9, 2014 (32nd Week).	different event codes 0.547292 H. influenzae 0.452474 CDC 0.414706 California serogroup 0.558189 age group 0.38785 novel influenza 0.705691 invasive pneumococcal disease 0.894085 eastern equine 0.380201 measles cases 0.489698 ** Data 0.425283 western equine diseases 0.534158 case notifications 0.390718 susceptible cases 0.445564 probable cases 0.462779 Rocky Mountain 0.373684 rickettsia infections 0.426889 ArboNET Surveillance 0.379884 Zoonotic 0.241112 rubella cases 0.458907 Spotted fever rickettsioses 0.612644 St. Louis 0.38311 E. coli 0.385462 influenza A virus 0.551392 virus infections 0.444047	National Center 0.57629 Immunization 0.2388 cases 0.712757 pneumoniae invasive disease 0.606757 Table 0.294388 Total case counts 0.563441 Spotted fever group 0.610502 serogroup non-O157 0.558098 serotypes 0.23777 Shiga 0.291798 similar clinical presentation 0.532957 Vector-Borne Infectious Diseases 0.573738 meningococcal disease 0.401515 Cumulative total E. 0.56246 condition 0.257999 Influenza Division 0.514605 Streptococcus 0.243284 unknown serogroup 0.558867 Respiratory Diseases 0.402775 Powassan 0.245859 ages 0.237802 Enteric Diseases 0.398445 Includes drug resistant 0.553488	CLICK HERE
5187	Centers for Disease Control and Prevention	Html	en	Wisconsin Activities to Prevent HAIs	null	funding 0.338685 list Skip 0.768848 monthly update 0.744366 Prevention Program 0.495865 page options Skip 0.968925 email address 0.698902 Infection Control Assessment 0.723	Affordable Care Act 0.67934 navigation Skip 0.773637 recent work 0.703276 Infection Prevention 0.535457 infectious disease 0.747481 Antimicrobial Resistance 0.555522 HAI Prevention Infrastructure 0.725182	CLICK HERE
6527	Centers for Disease Control and Prevention	Html	en	Reports of Human Infections with Variant Viruses	Reports of Human Infections with Variant Viruses - CDC	Novel Influenza Infections 0.459393 H3N2v Virus Infection 0.361676 variant influenza viruses 0.531669 Novel Reassortant Influenza 0.461905 Variant Virus Detected 0.38777 Ohio agricultural fair 0.335655 Emerging Microbes 0.271826 United States 0.610858 H3N2v Infection 0.276581 Swine Origin H3 0.328383 CDC Update 0.322574 novel influenza 0.483678 Reports More Cases 0.279086 H3N2pM/H3N2v influenza 0.440914 Swine-Origin Influenza 0.418666 West Virginia 0.331149 Virus Infection 0.403468 interspecies transmission 0.279692 novel influenza viruses 0.456805 CDC Telebriefing 0.348194 CDC Confirms Detection 0.361439 H3N2v Update 0.291717 Influenza Activity 0.483088	Molecular evidence 0.272317 MMWR 0.522674 Early Release 0.401079 H3N2v Cases Reported 0.338699 MMWR Dispatch 0.282796 H3N2 Variant Virus 0.376081 Limited Person-to-Person Transmission 0.329627 Influenza Diagnostic Tests 0.476045 Updated Case Count 0.322062 Influenza A Variant 0.414848 New Cases 0.274304 Seasonal Influenza Vaccine 0.456047 New Swine-Origin H3N2 0.321682 H3N2v Outbreaks Update 0.347304 human infections 0.479329 CDC Reports Cases 0.435916 previous reports 0.279189 Infection Reported 0.271384 Limited Human-to-Human Transmission 0.312314 Flu Spotlight 0.652233 influenza viruses 0.546702 Variant Virus 0.575804 Variant Virus-Related Hospitalizations 0.363155	CLICK HERE
6816	Centers for Disease Control and Prevention	Html	en	Bacterial Vaginosis - CDC Fact Sheet	Bacterial Vaginosis (BV) Fact Sheet from CDC. What is BV? How common is BV? How do people get BV? And more...	health care provider 0.740448 Male sex partners 0.652026 P.O. Box 0.572634 Bacterial vaginosis 0.762085 Transmitted Diseases Treatment 0.637104 strong fish-like odor 0.641003 Association (ASHA) 0.632313 pregnant women 0.744432 P. Sparling 0.577832 Disease Control 0.572932 common vaginal infection 0.680159 normal balance 0.585352 American Sexual Health 0.630718 women ages 0.602314 CDC National Prevention 0.629732 new sex partner 0.674211 sex partner 0.70966 gray vaginal discharge 0.662075 vagina 0.685989 female sex partners 0.651253 laboratory tests 0.577271 swimming pools 0.580275 symptoms 0.558903 (eds). 0.57394 Research Triangle Park 0.626379	known best ways 0.65409 Information Network 0.570542 vaginal discharge 0.670623 sexually active women 0.684357 P. Mardh 0.572493 woman 0.543557 sex partners 0.78133 lower your risk 0.577193 P. O. Box 0.627727 STD information 0.573998 K. Bacterial vaginosis 0.654243 BV 0.942943 toilet seats 0.580611 STD Clinics 0.575412 multiple sex partners 0.678318 basic prevention steps 0.644934 New York 0.572293 K. Holmes 0.570116 pelvic inflammatory disease 0.632441 Sexually Transmitted Diseases 0.744541 certain bacteria 0.60578 HIV 0.547343 STDs 0.56027 low birth weight 0.755299	CLICK HERE
6927	Centers for Disease Control and Prevention	Html	en	Kenya - Blog: Solving a Malaria Mystery	In Kenya, the CDC is addressing the region's toughest health problems at their source, directly working with vulnerable families and communities in local hospitals, clinics, and laboratories.	A. funestus 0.403802 highest prevalence 0.382092 recent KEMRI/CDC study 0.401282 gambiae mosquitoes 0.317558 stock outs 0.415938 bed nets 0.407533 high infection rates 0.383504 medicine stock outs 0.400389 Nyanza province 0.577689 Intermittent Presumptive Treatment 0.404208 Presidents Malaria Initiative 0.652348 KEMRI/CDC Field Research 0.437976 field research station 0.601965 new malaria study 0.652726 KEMRI/CDC Malaria Branch 0.67897 Kenya Medical Research 0.441187 U.S. CDC-Kenya Office 0.422756 malaria research 0.621713 Indoor Residual Spraying. 0.381631 effective malaria medication 0.694633 malaria parasite prevalence 0.780695 malaria infections 0.899338 malaria parasites 0.676331 research facility 0.322661 malaria problem 0.549134	Dr Kariuki 0.464643 malaria 0.994439 sporadic stock outs 0.40296 Dr Meghna Desai 0.418579 current interventions 0.34114 western Kenya 0.316949 CDC Senior Technical 0.424235 Dr. Simon Kariuki 0.393604 lower malaria prevalence 0.703964 continuous malaria transmission 0.626416 Indoor Residual Spraying 0.388847 Indoor Residual 0.400798 bed net study 0.421367 original malaria vector 0.662255 Malaria Branch 0.691578 A. arabiensis mosquito 0.41436 bed net usage 0.395281 biting mosquito 0.317796 pm ET 0.315093 KENYA BLOG 0.348405 interventions 0.347633 community prevalence 0.398044 asymptomatic people 0.389338 Dr Desai 0.317283	CLICK HERE
8367	Centers for Disease Control and Prevention	Html	es	Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0192	Volumen 10 — el 21 de marzo de 2013.	Janie Ferguson 0.478851 cáncer colorrectal diana 0.925934 Asay E 0.498617 Judith Muller 0.469135 Ellen Provost 0.478351 Provost E 0.471802 Estados Unidos 0.624879 Elvin Asay 0.50715 Colorectal Cancer Screening 0.60343	Redwood D 0.450698 Giant Inflatable Colon 0.647751 Community Knowledge 0.456531 Ferguson J 0.458573 escala likert 0.439169 mayores tasas 0.415777 Chronic Dis 0.46732 análisis univariado 0.434973	CLICK HERE
9897	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Seeking Best Practices: A Conceptual Framework for Planning and Improving Evidence-Based Practices - CDC	How can we encourage ongoing development, refinement, and evaluation of practices to identify and build an evidence base for best practices? On the basis of a review of the literature and expert input, we worked iteratively to create a framework with 2 interrelated components.	evidence 0.752782 public health interventions 0.575086 public health policies 0.575052 public health practitioners 0.611443 public health problems 0.591197 best available practice 0.575958 evaluation 0.579747 Rev Public Health 0.596154 overall evidence base 0.577245 best available practices 0.589744 best practice status 0.575225 public health services 0.589687 Preventive Services Task 0.633131 public health programming 0.576923 conceptual framework 0.650776 Best Practices Workgroup 0.622016 various public health 0.579015 health impact component 0.590762 Public Health Performance 0.575892 public health practice 0.661678 effective public health 0.587682 public health agencies 0.591107 public health impact 0.710191 practice-based evidence 0.58338 current best evidence 0.620764	Annu Rev Public 0.576225 evidence continuum 0.594726 evidence-based practice 0.586099 public health outcomes 0.621943 evidence continuum components 0.587993 public health professionals 0.585139 public health 0.926204 evidence-based practice continuum 0.57884 evidence base 0.629957 evidence-based practices 0.593336 designation best practice 0.581327 public health programs 0.649781 Services Task Force 0.636265 Evidence-based public health 0.587302 public health field 0.607013 public health problem 0.577782 public health practices 0.635212 CDC Best Practices 0.632834 best practices 0.75684 Community Preventive Services 0.747426 diverse evidence base 0.590127 public health science 0.578035 systematic reviews 0.630122 Community Guide 0.610937	CLICK HERE
9914	Centers for Disease Control and Prevention	Html	en	NIOSH Program Portfolio : Total Worker Health : Economics	The mission of the NIOSH Emergency Preparedness and Response (EPR) The TWH™ Program includes an intramural component and an extramural component, comprised of four Centers of Excellence to Promote a Healthier Workforce. Both of these components conduct research on the integration of health protection and health promotion; communication of current knowledge, successful approaches, and challenges, and advocacy of the concepts and practices of total worker health to our partners and stakeholders.	worker health 0.651179 blue collar workers 0.519065 health improvement efforts 0.60209 work characteristics 0.560897 lung cancer 0.574807 Balmes et al. 0.583132 K. Health 0.528463 health conditions 0.656512 Rev. Econ Stat 0.518182 workplace hazards 0.543117 S. Work schedules 0.547498 health insurance benefits 0.62149 Health Econ 0.539253 shape workplace culture 0.598705 health programs 0.55825 workplace health promotion 0.882403 health care costs 0.617433 economic factors 0.749501 disease management programs 0.551249 workplace efforts 0.593701 work hazards 0.562503 Cancer Risk Factors 0.546602 employee wellness programs 0.524975 obstructive pulmonary disease 0.530083	health care crisis 0.588269 better personal health 0.610213 chronic health conditions 0.597165 occupational health specialists 0.59941 health promotion 0.932681 ill health 0.544255 national budget deficits 0.534315 Occup Environ Med. 0.842589 certain health conditions 0.596439 modern workplace 0.54264 health promotion program 0.622585 integrated workplace programs 0.611335 workplace exposures 0.539489 health promotion programs 0.871175 total health 0.56001 personal health behaviors 0.872989 personal health behavior 0.606332 Workplace Temporalities 0.524301 American Thoracic Society 0.515578 Low wage America 0.516662 health promotion web 0.645733 D. Health 0.526884 Workplace health protection 0.645256 Crit Care Med. 0.526017	CLICK HERE
14026	Centers for Disease Control and Prevention	Html	en	Pre-Exposure Prophylaxis (PrEP) | HIV Risk and Prevention | HIV/AIDS	PrEP is a way for people who do not have HIV but who are at substantial risk of getting it to prevent HIV infection by taking a pill every day.	ongoing substantial risk 0.298827 inter-agency working group 0.270053 pre-exposure prophylaxis 0.31371 heterosexually active men 0.255007 injection drug 0.468649 Mutually monogamous means 0.255568 health care provider 0.424709 needle-sharing injection drug 0.285209 HIV prevention tool 0.534192 daily oral PrEP 0.527027 repeat HIV test 0.466614 durante la concepción 0.284272 HIV discordant couples 0.471342 Health care providers 0.272685 discordant heterosexual couples 0.271755 detectable levels 0.263019 potential HIV exposure—such 0.46243 prevenir el VIH 0.281538 Partners PrEP Study 0.545276 clinical practice guidelines 0.276368 HIV prevention strategies 0.497715 AMA PRA Category 0.263217 HIV transmission risk 0.484909 National Clinicians Consultation 0.269247	hiv infection 0.931398 HIV patients 0.41696 injection risk behaviors 0.319105 permanent infection 0.26203 single high-risk event 0.260411 HIV infection status 0.537225 heterosexual manor woman 0.26251 video-based medical education 0.272039 bisexual male partners 0.264061 Hoja informativa 0.364502 Primary Care Setting 0.276219 unknown HIV status 0.471566 por el VIH 0.2882 HIV risk reduction 0.518619 substantial risk 0.48496 Bangkok Tenofovir Study 0.290416 PrEP 0.896631 injection drug users 0.284315 new federal guidelines 0.271595 mutually monogamous* relationship 0.268572 Public Health Service 0.273673 continuing nursing education 0.269631 HIV testing 0.409592 Basic PrEP Q&As 0.592565	CLICK HERE