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
5157	Centers for Disease Control and Prevention	Html	en	Minnesota Activities to Prevent HAIs	null	Injection Safety 0.685923 Laboratory Network 0.42684 Healthcare-associated Infections 0.416995 Antimicrobial Resistance Regional 0.579063 HAI Detection 0.525694 email address 0.537284 CDI 0.32998 navigation Skip 0.555034 recent work 0.538778 Infection Prevention 0.467508 Clostridium difficile infection 0.577534 Appropriate Antibiotic 0.441331 Educational Efforts 0.429605	ACA 0.326692 list Skip 0.556914 monthly update 0.551405 page options Skip 0.676213 Coordinated Prevention 0.445643 ELC HAI-funded Activities 0.559264 Infection Control Assessment 0.557958 Affordable Care Act 0.514093 Antimicrobial Resistance 0.591878 infectious disease 0.554152 Laboratory Capacity 0.428675 HAI Prevention Infrastructure 0.927151	CLICK HERE
5511	Centers for Disease Control and Prevention	Html	en	p-Nitrotoluene - NIOSH Pocket Guide to Chemical Hazards	null	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
6102	Centers for Disease Control and Prevention	Html	en	N-Ethylmorpholine - NIOSH Pocket Guide to Chemical Hazards	null	MPEG 0.378858 search 0.263099 PDF 0.261307 PPT 0.446092	DOC 0.368812 information 0.262482 different file formats 0.938484 page 0.276773	CLICK HERE
6367	Centers for Disease Control and Prevention	Html	en	Science Clips - Monday, October 24, 2011	null	pneumococcal conjugate vaccines 0.426904 full-text link 0.330737 Work-related asthma 0.362581 CDC Science Clips 0.824091 asthma care 0.358387 Gange SJ 0.324764 secular changes 0.319986 factual accuracy 0.325326 mathematical assessment model 0.42664 Asthma Call-back Survey 0.47969 Chief Science Officer 0.473212 sexual violence victimization 0.437295 perinatal risk factors 0.423315 Bitsko RH 0.331723 HIV-related mortality 0.333067 DHHS 0.335164 Cancer screening 0.321996 Hanna DB 0.322046 routinely collected surveillance 0.425152 public domain 0.343856 Smith AC 0.316893 CDC licensed materials 0.628714 Stephen B. Thacker 0.686468 International Clearinghouse 0.316769 financial barriers 0.326074	environmental public health 0.443429 United States 0.334615 Dietz PM 0.331559 SFX window 0.348169 Farr SL 0.327787 Birth Defects Surveillance 0.41522 adverse asthma 0.357989 public health 0.517745 weekly digest 0.338292 Bladder exstrophy 0.332416 Science Clips 0.914374 Selik RM 0.335741 recent autism prevalence 0.426774 U.S. adults 0.330472 public health literature 0.426633 SFX server 0.348783 B. Thacker CDC 0.861501 Public health department 0.443684 original authors 0.318808 epidemiologic study 0.325402 antiviral treatment 0.33256 U.S. states 0.332362 original sources 0.339084 news sources 0.320953	CLICK HERE
8514	Centers for Disease Control and Prevention	Html	en	Vital Signs: Repeat Births Among Teens - United States, 2007-2010	Background: Teen childbearing has potential negative health, economic, and social consequences for mother and child. Repeat teen childbearing further constrains the mother's education and employment possibilities. Rates of preterm and low birth weight are higher in teens with a repeat birth, compared with first births.	sexually active teen 0.608234 effective contraceptive methods 0.599088 teen mothers 0.995806 New York City 0.753704 Closely spaced births 0.513104 repeat childbearing 0.502453 birth control methods 0.501248 parenting teens 0.55427 postpartum contraception 0.504676 percentage 0.497097 postpartum 0.559532 teen pregnancy rates 0.527706 American Indian/Alaska Natives 0.532449 non-hispanic black teens 0.560845 active teen mothers 0.620917 contraception 0.567851 birth control 0.576392 oral contraceptive pills 0.581162 live births 0.496657 repeat birth 0.583543 repeat teen birth 0.679477 contraceptive methods 0.615899 effective methods postpartum 0.510414 repeat teen pregnancy 0.651907 recent live birth 0.523039	repeat teen births 0.959505 effective methods 0.801056 United States 0.512126 birth spacing 0.505874 overall teen birth 0.52408 teens 0.641712 states 0.528928 Pregnancy Risk Assessment 0.527065 repeat births 0.851367 live birth 0.619086 PRAMS data 0.530525 previous live birth 0.507054 teen birth rates 0.605735 Teen pregnancy prevention 0.507179 moderately effective contraceptive 0.498409 moderately effective methods 0.519229 effective birth control 0.50435 repeat teen childbearing 0.664151 reversible contraception 0.510833 contraceptive methods postpartum 0.527881 New Hampshire 0.503581 postpartum teen mothers 0.550595 low birth weight 0.548019 Risk Assessment Monitoring 0.523506	CLICK HERE
11451	Centers for Disease Control and Prevention	Html	en	Letter from the Director	There is no work quite like public health, and there is no agency quite like CDC. As America's health protection agency, we are unique in our ability to safeguard America's health security 24 hours a day, 7 days a week.	CDC 0.765381 new health threat 0.701939 MPH 0.2584 methods 0.247164 Tom Frieden 0.489964 emergency 0.249671 strong public health 0.678648 danger 0.253987 expertise 0.249458 critical nature 0.48521 nightmare bacteria 0.492758 advanced computing 0.475364 PDF 0.256399 U.S. 0.246192 world 0.246117 health security 0.519413 America 0.386491 2M 0.281842 ability 0.250067 global health threats 0.750426 public health 0.93113 crucial public health 0.700791 strategic areas 0.456932 chronic condition 0.487836	lives 0.249245 rapid disease detection 0.716338 work 0.354634 Americans 0.246067 priority 0.250726 new threats 0.515606 people 0.246249 short time 0.465578 major priorities 0.468701 24 hours a day 0.250345 greatest health benefit 0.690904 preparedness 0.256766 infectious disease 0.484333 response 0.249284 cost-efficient way 0.481471 new technologies 0.468854 millions 0.254207 decades 0.251187 health protection agency 0.7587 page 0.256442 antibiotics 0.260453 deliberate attack 0.507608 DNA sequencing 0.477193	CLICK HERE
11751	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Acculturation and the Prevalence of Diabetes in US Latino Adults, National Health and Nutrition Examination Survey 2007"2010 - CDC	US Latinos are growing at the fastest rate of any racial/ethnic group in the United States and have the highest lifetime risk of diabetes. Acculturation may increase the risk of diabetes among all Latinos, but this hypothesis has not been studied in a nationally representative sample. The objective of this study was to test the hypothesis that acculturation was associated with an increased risk of diabetes in such a sample.	study 0.387559 acculturation increases 0.491091 federal poverty level 0.421022 data 0.397615 United States 0.509578 undiagnosed diabetes limits 0.449328 total dietary calories 0.748607 individual acculturation variables 0.503829 educational attainment 0.412088 association 0.395648 Temple University 0.421053 acculturation 0.914651 diabetes burden 0.438545 diabetes prevalence 0.466558 doctor-diagnosed diabetes 0.493555 undiagnosed diabetes 0.57329 acculturation — nativity 0.48512 nationally representative sample 0.489779 marital status 0.414341 Nutrition Examination Survey 0.510287 different acculturation experiences 0.484926 acculturation score 0.886244 participants 0.418321 BMI 0.391666	diabetes incidence 0.419281 Mexican Americans 0.390926 body mass index 0.557547 participant characteristics 0.41223 Hispanic origin 0.390137 acculturation process 0.471038 successive acculturation score 0.491723 insurance status 0.392986 diabetes risk 0.516132 acculturation level 0.510962 physical activity 0.414779 National Health 0.411904 household income 0.426278 HbA1c value 0.400506 leisure-time physical activity 0.414743 available data 0.393476 diabetes increases 0.451431 NHANES 0.394655 Latinos 0.513245 usual source 0.440006 diabetes 0.936477 acculturation scores 0.476125 diabetes rates 0.424922	CLICK HERE
12508	Centers for Disease Control and Prevention	Video	en	June 2014 ACIP Meeting: General Recommendations and Yellow Fever Vaccine	General Recommendations on Immunization Altered Immunocompetence Vaccination Programs, Altered Immunocompetence, Child & Adolescent Immunization Schedules being used, ACIP Japanese Encephalitis (JE) and Yellow Fever (YF) Vaccines Work Group, GRADE and Work Group conclusions regarding YF vaccine booster doses. 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=db99e98ef428d476f621b758e8361eda20140728120512100	Yellow Fever Vaccine 0.903944 ACIP Meeting 0.709804	YouTube 0.374374	CLICK HERE
13765	Centers for Disease Control and Prevention	Html	en	Human Papillomavirus Vaccination Coverage Among School Girlsin a Demonstration Project - Botswana, 2013	Mmakgomo Mimi Raesima, MD1; Sara E. Forhan, MD2; Andrew C. Voetsch, PhD2; Shannon Hewitt3; Susan Hariri, PhD4; Susan A.	complete vaccination 0.512484 girls 0.629706 HPV types 0.64571 Botswana MOH 0.57346 vaccination completion 0.519742 National Cervical Cancer 0.504118 vaccination coverage 0.726926 cervical cancer worldwide 0.510364 Out-of-school preadolescent girls 0.494915 HPV vaccination coverage 0.682394 HPV vaccination project 0.695384 3-dose series 0.497735 parental consent 0.573903 HPV vaccination demonstration 0.727452 HPV vaccination date 0.642564 primary schools 0.525892 school vaccination 0.532818 Vaccination data 0.525789 Botswana Ministry 0.521354 cervical cancer screening 0.496891 HPV vaccine implementation 0.578042 cervical cancer 0.688476 targeted HPV types 0.548521 HPV vaccines 0.526658 2-dose HPV vaccine 0.56059	grade-based HPV vaccination 0.652121 HPV vaccine activities 0.577314 HPV vaccination series 0.702001 Scottish Livingston Hospital 0.513449 high vaccination coverage 0.597285 HPV exposure 0.539531 lower vaccination rates 0.533956 HPV vaccination 0.930336 Health HPV Immunization 0.558475 HPV vaccine 0.778908 quadrivalent HPV vaccine 0.573998 vaccination campaign rounds 0.550524 2-dose vaccination schedule 0.543694 public health 0.52034 public health workers 0.519333 3-dose HPV vaccination 0.702497 adverse events 0.494527 3-dose vaccination coverage 0.552953 national vaccination program 0.543433 national HPV vaccine 0.56691 eligible school girls 0.508684 HPV vaccination strategy 0.626691 Botswana 0.594455 cervical cancer prevention 0.535989	CLICK HERE
15848	Centers for Disease Control and Prevention	Html	en	Zika Virus Disease Cases - 50 States and the District ofColumbia, January 1-July 31, 2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	Locally acquired cases 0.352183 symptom onset 0.342532 Zika virus-affected area 0.353641 possible Zika virus 0.453744 pregnant women 0.444894 active Zika virus 0.398094 probable cases 0.388053 state health departments 0.371257 health care providers 0.403124 travel-associated Zika virus 0.4175 Zika virus exposure 0.452676 nationally notifiable conditions 0.333708 median age 0.337976 unknown transmission mode 0.350174 patients 0.370475 ongoing Zika virus 0.426422 Zika virus disease 0.819871 compatible clinical signs 0.403923 travel-associated cases 0.334039 public health practice 0.34098 Zika Virus Response 0.384913 Guillain-Barré syndrome 0.33873 Zika virus transmission 0.486241 asymptomatic pregnant women 0.337985 case definition 0.334801	illness onset 0.33725 national arboviral surveillance 0.374888 unprotected sex 0.339803 United States 0.356149 Zika virus infection 0.475245 congenital infections 0.352024 symptomatic Zika virus 0.389208 continental United States 0.336088 rare autoimmune condition 0.335803 local transmission 0.35083 interim case definitions 0.334255 zika virus 0.966864 CSTE interim case 0.334834 local health departments 0.353784 congenital Zika virus 0.39834 Zika virus infections 0.471492 cases 0.455436 virus disease cases 0.417287 congenital infection 0.345813 prenatal visit 0.336044 sexual transmission 0.346197 local mosquito-borne transmission 0.384254 U.S. states 0.443567 mosquito-borne disease cases 0.37487	CLICK HERE