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
747	Centers for Disease Control and Prevention	Html	en	Outbreak of Escherichia coli O104:H4 Infections Associatedwith Sprout Consumption - Europe and North America, May-July2011	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.	outbreak vehicle 0.345529 robust public health 0.411199 Foodborne Outbreak Listserv 0.418584 Shiga toxin 0.359822 raw sprouts 0.325763 Escherichia coli 0.365278 public health authorities 0.516905 German HUS patients 0.362963 U.S. Department 0.340705 Health Alert Network 0.326736 STEC diagnostic testing 0.450257 Shiga toxin–positive stool 0.331072 outbreak management 0.347476 outbreak 0.590926 foodborne disease surveillance 0.328541 novel STEC pathogens 0.522365 non-O157 illness-causing STEC 0.453281 traceback investigations 0.405795 German public health 0.350442 laboratory-confirmed STEC infections 0.447817 World Health Organization 0.331356 Shiga toxin–positive specimens 0.32799 STEC outbreak worldwide 0.562952 state public health 0.342271 public health laboratories 0.403645	International Health Regulations 0.331584 new cases 0.332476 Germany 0.326181 public health infrastructure 0.482923 outbreak pathogens 0.362877 Shiga toxin–positive diarrheal 0.344198 United States 0.785287 hemolytic uremic syndrome 0.387413 STEC O104 0.930263 non-O157 STEC 0.538006 U.S. cases 0.33411 public health 0.75801 outbreak strain 0.462891 Enteroaggregative STEC O104 0.504362 cases 0.432546 STEC testing recommendations 0.508094 HUS 0.378674 STEC diarrheal illness 0.504688 HUS cases 0.350066 Robert Koch Institute 0.391968 raw fenugreek sprouts 0.433152 large outbreak 0.345798 STEC O157 0.464461 food consumption commonalities 0.331115	CLICK HERE
4736	Centers for Disease Control and Prevention	Html	en	Eastern Equine Encephalitis - Arboviral Diagnostic Testing	Eastern Equine Encephalitis is a rare disease that is caused by a virus spread by infected mosquitoes.	arbovirus activity increases 0.755158 initial results 0.475105 fatal cases 0.479542 CDC 0.320276 histopathology 0.268133 Microsphere-Based Immunoassay 0.466658 confirmatory testing 0.443563 virus-specific IgM 0.598843 APPROPRIATE STATE HEALTH 0.644131 final results 0.447749 state health department 0.94534 patient 0.280121 specimen receipt 0.511579 CSF 0.299929 Initial serological testing 0.710934 Laboratory diagnosis 0.477449 antibodies 0.257283 nucleic acid amplification 0.723214 immunohistochemistry 0.268758 area 0.24686 arboviral infections 0.538003	test results 0.651322 MIA 0.251833 epidemiologic history 0.522521 dates 0.247121 Instructions 0.241315 virus culture 0.462514 autopsy tissues 0.502588 DVBID Arbovirus Diagnostic 0.798779 hard copy 0.441693 Preliminary diagnosis 0.501719 places 0.247164 IgM capture ELISA 0.78432 diagnostic specimens 0.457961 activities 0.246795 location 0.246642 IgG ELISA 0.530671 state laboratories 0.471293 serum 0.27277 travel 0.247077 non-endemic country 0.490728	CLICK HERE
4823	Centers for Disease Control and Prevention	Html	en	Upstream ecological risks for overweight and obesity among African American youth in a rural town in the Deep South, 2007	null	high school 0.671122 school board member 0.570448 ecological theory 0.560775 multiple ecological levels 0.557328 local high school 0.517367 in-depth interviews 0.530755 issues 0.524764 recreational center 0.522832 complex community contexts 0.556882 youth resource center 0.52676 African American student 0.545668 rural community settings 0.53977 community coalition members 0.536659 right social connections 0.543378 African American families 0.537743 white community members 0.605576 community 0.831912 upstream ecological factors 0.568684 embodiment theory 0.584683 African American teachers 0.548252 specific rural communities 0.524595 specific community contexts 0.673013 qualitative community health 0.557917 African American students 0.546638 rural town 0.548008	African American children 0.534995 African American pastor 0.542716 African American members 0.555722 Georgia Southern University 0.612882 white American populations 0.534485 local health department 0.517281 African American community 0.731071 larger community health 0.550864 American community members 0.648857 participants 0.674353 African American women 0.534257 rural youth 0.522121 African American representative 0.546315 rural communities 0.540218 race 0.5435 community organizations 0.535061 Deep South 0.64514 rural community 0.572343 African American youth 0.984297 physical activity 0.541702 community health assessment 0.623387 illegal drug activity 0.551447 upstream levels 0.530593 healthful food options 0.556908	CLICK HERE
8275	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Recruitment and Retention ofPregnant Women for a Behavioral Intervention: Lessons from theMaternal Adiposity, Metabolism, and Stress MAMAS Study -CDC	Recruiting participants for research studies can be challenging. Many studies fall short of their target or must prolong recruitment to reach it. We examined recruitment and retention strategies and report lessons learned in a behavioral intervention developmental trial to encourage healthy pregnancy weight gain and stress reduction in low-income overweight pregnant women.	francisco bay area 0.679178 study participants 0.651465 healthy pregnancy weight 0.646725 prenatal behavioral intervention 0.627398 child care costs 0.624855 pregnancy weight gain 0.649335 low-income study participants 0.649307 hospital-based prenatal clinics 0.870349 pregnant women 0.948162 recruitment 0.717647 clinic staff 0.678502 recruit low-income women 0.640665 gestational age 0.711307 social service providers 0.623704 San Francisco Bay 0.67946 8-week behavioral intervention 0.621619 behavioral intervention 0.676379 low-income women 0.688738 stage pregnant women 0.663755 intervention participants 0.651081 California Pacific Medical 0.618365 intervention 0.71233 obese women 0.631784 study 0.738022 Phase 0.662909	Introduction Recruiting participants 0.630155 weight gain 0.679954 intervention developmental trial 0.621679 gestational weight gain 0.62321 child care 0.714388 8-week intervention 0.618669 social services agencies 0.651552 focus groups 0.683691 overall study retention 0.614736 eligible women 0.855719 intervention development trial 0.6232 eligible participants 0.636194 federal poverty guidelines 0.674974 prenatal care providers 0.720656 social services providers 0.620009 low-income minority women 0.620264 annual household income 0.668159 group intervention 0.619645 focus group participants 0.740486 inflexible work schedules 0.613027 San Francisco 0.727267 overweight pregnant women 0.718981 obese pregnant women 0.868419 retention rates 0.65285	CLICK HERE
8764	Centers for Disease Control and Prevention	Html	en	Prevention and Control of Influenza with Vaccines: InterimRecommendations of the Advisory Committee on Immunization PracticesACIP, 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.	ACIP influenza 0.872596 currently available influenza 0.481444 influenza vaccination recommendation 0.516999 trivalent influenza vaccine 0.570866 Influenza Div 0.356053 Routine annual influenza 0.493014 inactivated influenza vaccines 0.555669 ACIP influenza recommendation 0.677909 Immunization Practices 0.331406 cell culture-based vaccine 0.305035 newly licensed influenza 0.463795 Influenza Vaccine Abbreviations 0.575174 advisory committee 0.383121 recommendation statement 0.212496 influenza vaccine 0.782048	trivalent inactivated influenza 0.458233 Vaccine Recommendations 0.285925 influenza season 0.497059 influenza vaccines 0.931059 ACIP influenza vaccination 0.813065 influenza vaccination statement 0.493736 ACIP influenza recommendations 0.714686 hemagglutinin influenza vaccine 0.562011 vaccine categories 0.210027 ACIP recommendations 0.314726 inactivated influenza vaccine 0.572555 U.S. vaccine abbreviations 0.307242 attenuated influenza vaccine 0.56412 influenza virus 0.356037	CLICK HERE
9176	Centers for Disease Control and Prevention	Html	en	Prostate Cancer Rates by Race and Ethnicity	Prostate cancer statistics from CDC: incidence and mortality by race and ethnicity.	numbers 0.421228 invasive cancer sites 0.598755 NVSS 0.424124 cancer excludes basal 0.603825 genital organs 0.500593 number 0.463046 shows 0.46358 ethnic populations 0.601836 A/PI 0.419389 Asian/Pacific Islander men 0.601713 registry-specific data quality 0.585333 prostate cancer incidence 0.680285 highest rate 0.519055 Hispanic origin 0.601906 National Vital Statistics 0.574286 Behavior recode 0.508481 National Program 0.502499 incidence rate 0.639841 age groups 0.601885 Sources 0.419304 graph 0.470666 Census P25–1130 0.604088 population coverage 0.602983 data quality 0.590945 persons 0.477805	situ cancers 0.502546 death rates 0.658072 U.S. standard population 0.7643 AI/AN 0.419413 ethnicity 0.484815 100,000 0.462855 skin 0.43263 USCS technical notes 0.938698 data quality criteria 0.58474 cancer registries 0.606121 potential differences 0.596273 Asian/Pacific Islander 0.633069 †Race categories 0.599682 *Rates 0.437861 National Cancer Institute 0.607294 caution 0.509713 disease 0.421074 black men 0.583168 urinary bladder 0.501382 End Results program 0.595054 squamous cell carcinomas 0.597043 U.S. population 0.59581 prostate cancer 0.907235 American Indian/Alaska Native 0.795329	CLICK HERE
10117	Centers for Disease Control and Prevention	Html	en	Vaccine Information Statement: Td (Tetanus, Diphtheria) - Vaccines - CDC	Td (Tetanus Diphtheria) VIS	Compensation Program 0.270031 Vaccine Safety site 0.45778 Severe Problems 0.327061 vision changes 0.279461 Page 0.342196 painful muscle 0.291177 National Vaccine Injury 0.447483 tetanus 0.39162 unusual behavior 0.274297 nearest hospital 0.275992 severe allergies 0.332716 severe allergic reaction 0.773582 heart failure 0.284673 fast heartbeat 0.277368 Mild Problems 0.284832 severe allergy 0.33121 Vaccine Adverse Event 0.451828 usual activities 0.277895 Tetanus-causing bacteria 0.290682 VAERS website 0.289389 life-threatening allergic reaction 0.383761 booster dose 0.283743 person 0.360024 severe complications 0.347153 previous dose 0.284358	difficulty breathing 0.27198 breathing problems 0.284431 vaccination 0.281763 VICP website 0.273198 United States 0.380659 vaccines 0.312574 medical advice 0.276654 best medical care 0.359471 remote chance 0.274477 state health department 0.339836 medical attention 0.338306 vaccine package insert 0.457301 Current Edition Date 0.373176 diphtheria 0.397539 dirty wound 0.283505 Td vaccine 0.921304 time limit 0.273637 Mild fever 0.286146 severe pain 0.386836 people 0.347813 certain vaccines 0.283137 medical procedure 0.277697 doctor 0.284351 federal program 0.272155	CLICK HERE
11299	Centers for Disease Control and Prevention	Html	en	What U.S. Hospitals Need to Know to Prepare for Ebola Virus Disease - Conference Call August 5, 2014 | Clinicians Outreach and Communication Activity (COCA)	CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism.	impacted countries 0.485042 United States 0.444016 patients 0.326601 Ebola hemorrhagic fever 0.809932 U.S. hospitals 0.457057 updates 0.323667 steps 0.331951 American citizens 0.454404 COCA 0.348577	guidance 0.329852 recent Ebola virus 0.821637 West Africa 0.551427 U.S. healthcare facilities 0.549834 outbreak 0.402273 clinicians 0.339802 U.S. hospital 0.433922 possibility 0.387737	CLICK HERE
12085	Centers for Disease Control and Prevention	Html	en	Healthy Places - Recent Accomplishments - Healthy Community Design Data	Designing and Building Healthy Places	Travel Survey data 0.65619 potential health effects 0.714037 health impact assessment 0.718178 health impact 0.807927 unhealthy air quality 0.660423 health disparities 0.639548 bicycling routes 0.61182 pedestrian crossing islands 0.733515 positive health outcomes 0.714705 transportation modeling techniques 0.663586 busy street crossings 0.657354 transportation systems 0.619605 adverse birth outcomes 0.672122 scale design interventions 0.692549 Community Design Initiative 0.653302 Enhanced pedestrian crossing 0.728271 community design 0.656001 traditional public health 0.710544 Health Tool 0.633194 HIA data 0.620338 annual medical cost 0.673165 health criteria 0.626535 American Planning Association 0.642461 times more pedestrian 0.65527	health care utilization 0.711235 specialized surface treatments 0.657192 transportation infrastructure 0.607046 United States 0.65964 adverse health outcomes 0.723539 adverse health effects 0.729804 Physical Activity Guidelines 0.713585 Metropolitan Planning Organization 0.641446 physical activity.2 0.615112 public health 0.739708 potential public health 0.715002 regional comprehensive plans 0.640442 bicyclist fatalities 0.607719 pedestrian bridges 0.643395 high school students 0.674671 physical activity 0.964527 pedestrian crossing signals 0.868926 commonly reported form 0.664088 National Park Service 0.640571 transportation planning 0.620292 health-promotive built environment 0.651989 Health impact assessments 0.703604 Phys Act Health. 0.646091 Health Workbook 0.630877	CLICK HERE
13230	Centers for Disease Control and Prevention	Html	en	Decrease in Rate of Opioid Analgesic Overdose Deaths -Staten Island, New York City, 2011-2013	Denise Paone, EdD1, Ellenie Tuazon, MPH1, Jessica Kattan, MD1, Michelle L. Nolan, MPH1, Daniella Bradley O'Brien1, Deborah Dowell, MD2, Thomas A. Farley, MD3, Hillary V.	Staten Island prescribers 0.469775 overdose rates 0.393587 public health interventions 0.509204 analgesic–involved overdose mortality 0.494321 Prescription Monitoring Program 0.383121 state prescription monitoring 0.433457 Staten Island–specific 0.382075 heroin-involved overdose mortality 0.401298 New York City 0.413413 analgesic high-dose prescribing 0.377967 Staten Island rates 0.425924 Staten Island 0.907289 analgesic prescribing patterns 0.376389 overdose mortality rates 0.537077 opioid analgesic–involved mortality 0.464188 heroin-involved overdose deaths 0.414935 opioid analgesic mortality 0.488139 high-dose opioid 0.443528 high dose prescriptions 0.382334 overdose death rate 0.414324 opioid analgesic–involved overdose 0.700631 Island local news 0.366255 unintentional drug poisoning 0.390769 Staten Island physicians 0.430353	NYC boroughs 0.428123 opioid analgesic prescriptions 0.677705 Methadone-involved overdose deaths 0.395821 opioid analgesics 0.515867 short-acting opioid analgesic 0.479745 Staten Island stakeholders 0.442052 office educational visits 0.426119 Staten Island mortality 0.467856 judicious opioid prescribing 0.461141 opioid use disorders 0.42855 Staten Island–targeted efforts 0.418692 overdose mortality 0.610933 new york state 0.387518 opioid prescribing guidelines 0.505838 Staten Island town 0.442758 public service announcements 0.388843 analgesic prescribing data 0.386709 Staten Island campaign 0.442581 analgesic–involved overdose deaths 0.434923 Staten Island area 0.414583 overdose mortality trends 0.412818 Staten Island residents 0.536873 drug-involved overdose deaths 0.391229	CLICK HERE