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
7300	Centers for Disease Control and Prevention	Html	en	Take Action to Prevent the Spread of Flu Between Pigs and People | Swine/Variant Influenza (Flu)	Take Action to Prevent the Spread of Flu Between People and Pigs - CDC	Animal Exhibits 0.490399 long-term health conditions 0.575278 influenza antiviral drugs 0.599287 health care provider 0.559479 swine flu viruses 0.783353 lung disease 0.49617 pigs 0.9208 pregnant women 0.499514 strollers 0.41953 Disease Control 0.500504 different settings 0.501105 contact 0.570266 immune systems 0.498963 personal protective equipment 0.583187 pig barn 0.511837 water 0.429482 human flu viruses 0.735547 exposure 0.43295 high risk 0.737572 soap 0.430324 flu symptoms 0.642712 neurodevelopmental conditions 0.501798 swine barns 0.547922 Centers 0.417403 infection 0.43348	similar items 0.497284 alcohol-based hand rub 0.575011 baby bottles 0.495827 H3N2v flu viruses 0.674597 pacifiers 0.425771 flu complications 0.674836 Prevention 0.417385 following actions 0.495927 CDC’s recommendations 0.488351 heart disease 0.497686 high risk factor 0.562761 close contact 0.50461 high risk factors 0.562127 protective actions 0.49629 illness 0.456594 pig areas 0.67206 Dr. Lyn Finelli 0.572909 protective measures 0.504466 protective clothing 0.504169 seasonal flu vaccine 0.642178 flu viruses 0.805622 people 0.580703 visit Stay 0.485954 mouth 0.437819	CLICK HERE
8106	Centers for Disease Control and Prevention	Html	en	Pertussis: Postexposure Antimicrobial Prophylaxis (PEP)	Pertussis Outbreaks. With increasing incidence and widespread community transmission of pertussis, extensive contact tracing and broad scale use of PEP among contacts may not be an effective use of limited public health resources.	Bordetella pertussis infection 0.705832 limited public health 0.535275 von König CH 0.50226 Pediatr Infect Dis 0.509325 Pertussis outbreak 0.645807 pertussis 0.926788 likely source 0.500157 pertussis outbreaks 0.704141 postexposure antimicrobial prophylaxis 0.558647 pertussis cases 0.682809 state health departments 0.518963 medically treated asthma 0.509088 intensive care unit 0.503974 increased risk 0.485169 pertussis signs 0.658266 Extensive contact tracing 0.530643 pre-existing health conditions 0.606385 Bordetella pertussis 0.719175 fatal pertussis-related complications 0.516986 important consideration 0.47011 Dis Child.1992 0.465738 high risk 0.792538 severe disease 0.510538 household contacts 0.614254 antibiotics 0.500569	healthcare providers 0.465771 immunocompromised people 0.483561 symptomatic infection 0.468163 infectious pertussis case-patient 0.727376 Miller E. Review 0.507342 severe pertussis 0.734946 index patient 0.464192 close contact 0.586729 asymptomatic household contacts 0.533509 neonatal intensive care 0.619664 broad scale 0.471053 Hosp Infect. 0.519484 pertussis disease 0.705185 high risk settings 0.537771 pertussis infection 0.720217 high risk people 0.612833 widespread community transmission 0.531689 erythromycin estolate chemoprophylaxis 0.522192 primary objective 0.469233 intensive care units 0.508978 et al 0.5747 secondary attack rates 0.512284 PEP 0.508872 community-wide outbreak 0.466328	CLICK HERE
8523	Centers for Disease Control and Prevention	Html	en	Human Contacts with Oral Rabies Vaccine Baits Distributedfor Wildlife Rabies Management - Ohio, 2012	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.	rabies virus variant 0.479208 County Health Dept 0.392751 AdRG1.3 baits 0.482854 V-RG exposure 0.466957 potential vaccine 0.531795 V-RG bait contacts 0.576936 Neil M. Vora 0.397723 V-RG fishmeal polymer 0.462564 oral rabies vaccine 0.664733 multiple baits 0.490472 U.S. Department 0.471176 recombinant vaccinia vector 0.414681 human adenovirus type 0.492869 V-RG vaccine virus 0.548969 Health Inspection Service 0.418144 rabies management programs 0.41027 oral rabies vaccines 0.433661 Raboral V-RG 0.473762 square miles 0.389846 potential vaccine exposure 0.505155 recombinant human adenovirus 0.432418 rabies virus glycoprotein 0.466666 V-RG baits 0.998284 vaccine virus exposure 0.437698 raccoon rabies virus 0.418214	higher bait densities 0.393777 potential vaccine exposures 0.46056 Ñ?ЛП Baits 0.511208 vaccine virus infection 0.533098 vaccine exposure 0.533278 United States 0.557159 human contact 0.482531 wildlife rabies 0.398952 Ohio Department 0.400386 fewer human contacts 0.390875 AdRG1.3 bait contacts 0.42017 Wildlife Services 0.450226 oral rabies 0.684102 local Ohio health 0.392187 square kilometers 0.389533 adverse events 0.461658 fox rabies virus 0.419392 Oral rabies vaccination 0.457628 new oral rabies 0.472521 canine rabies virus 0.417666 human contacts 0.763204 Ohio 0.420453 intact bait 0.393255 rabies vaccine baits 0.671819	CLICK HERE
9333	Centers for Disease Control and Prevention	Html	es	Análisis de costo-beneficio de la estandarización para la medición de lípidos en los Estados Unidos	null	largo plazo 0.741992 logrado gracias 0.775807	Estados Unidos 0.61472 marcada reducción 0.931058	CLICK HERE
10189	Centers for Disease Control and Prevention	Html	en	Radiation Emergencies | Community Reception Center (CRC) Simulation Tools: CRC-STEP and RealOpt-CRC	Information on Community Reception Center Simulation Tools CRC-STEP and RealOpt CRC. Provided by the Centers for Disease Control and Prevention (CDC).	CRCs 0.340069 mass casualty radiation 0.908318 process 0.340887 CDC 0.369098 simulation programs 0.530542 CRC-STEP 0.326816 professionals 0.345208 emergency 0.345442 community reception centers 0.788094	planners 0.449154 people 0.344621 crucial role 0.626655 CRC models 0.576259 radioactive material 0.611605 information 0.338276 links 0.33784 population monitoring 0.557548	CLICK HERE
11081	Centers for Disease Control and Prevention	Html	en	Using this Course | NCBDDD	null	smartphone 0.453733 internet browser 0.665533 screen 0.535484 group discussion 0.619106 browser upgrades 0.670865 mouse 0.49657 tablet 0.446588 percentage 0.451577 options 0.447565 links 0.443391 scroll bar 0.700598 free online 0.68375 click buttons 0.724514 internet browsers 0.67147 black bar 0.643825 module 0.979098 continuing education 0.619416 click 0.747134 CDC eLearning site 0.834174 modules 0.539472 CE credit 0.796763 ActEarly 0.449949 newer versions 0.690182 Skip 0.445307 header 0.448163	Training content 0.638799 additional assistance 0.682002 document 0.47612 laptop computers 0.653284 highlight 0.444982 ways 0.447821 desktop 0.444932 Progress Bar 0.620432 end 0.476556 quiz 0.477578 finger 0.444523 middle 0.443557 wrong answers 0.639855 final evaluation 0.631966 training functions 0.686584 up-to-date version 0.680581 team meetings 0.626794 small wheel 0.651394 discussion points 0.619428 module number 0.869799 cdc.gov 0.449929 technical difficulties 0.683281 quizzes 0.476534 left navigation bar 0.864762	CLICK HERE
12221	Centers for Disease Control and Prevention	Html	en	Preventing Chronic Disease | Prevalence of and Risk Factorsfor Adolescent Obesity in Southern Appalachia, 2012 - CDC	The objective of this study was to examine weight status among southern Appalachian adolescents and to identify risk factors for obesity. We analyzed baseline data from the Team Up for Healthy Living study in 2012. Overall, 19.8% of the sample was overweight, and 26.6% was obese. Boys had higher rates of overweight/obesity than girls (50.5% vs 42.3%). Being male (odds ratio [OR] = 1.79; 95% confidence interval [CI], 1.39–2.29), having a mother with a high school education or less (OR = 1.39; 95% CI, 1.05–1.83), or having a father with a high school education or less (OR = 1.57; 95% CI, 1.17–2.09) was associated with a higher prevalence of obesity and a higher body mass index z score (? = 0.131, 0.160, and 0.043, respectively, P < .05). Parental education could be used to identify adolescents with a higher likelihood of obesity.	obesity rates 0.542073 baseline data 0.482394 adolescent obesity 0.533643 Tennessee State University 0.690858 higher prevalence 0.519991 Southern Appalachian region 0.481998 high school education 0.838755 parental education 0.625712 BMI z scores 0.47077 obesity prevention 0.563918 rural areas 0.49257 obesity 0.942489 body mass index 0.777955 BMI z score 0.573914 healthy living 0.557311 higher body mass 0.504328 physical activity restrictions 0.456037 southern appalachian adolescents 0.662332 mother’s education 0.518504 maternal education 0.471822 outcome variable 0.48799 severe orthopedic problems 0.450497 father’s education 0.519931 family income level 0.458858	model logistic regression 0.535768 family household income 0.57381 higher likelihood 0.63917 95th percentile 0.60559 study 0.556517 Public Health 0.479281 Youfa Wang 0.44999 Study exclusion criteria 0.479639 institutional review board 0.452531 annual family household 0.578531 East Tennessee State 0.698044 Prevention growth charts 0.45559 SAS Institute 0.454979 weight status 0.539654 overweight 0.472983 paternal education 0.545974 students provided assent 0.460018 family income 0.508849 logistic mixed models 0.459951 Healthy Living study 0.497622 SAS version 0.455025 obesity risk factors 0.6523 household education level 0.49722 Lifetime Wellness classes 0.453277	CLICK HERE
12737	Centers for Disease Control and Prevention	Html	en	Vaccines: VPD-VAC/Measles/In-Short	Measles In Short: Description, Symptoms, Complications, Transmission, Vaccine, etc.			CLICK HERE
12764	Centers for Disease Control and Prevention	Html	en	FastStats - Mobile Application	null	FastStats website 0.482279 FastStats mobile application 0.785566 Android devices 0.269882 FastStats app 0.927593	FastStats content 0.544599 CDC mobile app 0.656068 mobile friendly website 0.38776 Android app stores 0.668889	CLICK HERE
13486	Centers for Disease Control and Prevention	Html	en	Schools Start Too Early | CDC Features	Starting school later can help improve an adolescent’s health, academic performance and quality of life.	Education data 0.474337 American Academy 0.634157 School Health Policies 0.670259 mobile phones 0.450301 Practices Study 0.472705 regular bedtime 0.465495 school 0.775795 media curfew. 0.455528 main reason 0.458735 certain time 0.446455 late bedtimes 0.720411 potential increases 0.451951 school start times 0.691395 adolescents 0.898112 middle schools 0.482044 irregular bedtimes 0.579777 insufficient sleep 0.651933 better academic achievers 0.587461 unhealthy risk behaviors 0.609446 poor academic performance 0.634736 Dim lighting 0.464738 early school 0.636995 Good sleep hygiene 0.777878 high schools 0.75022 Health care 0.456786	transportation costs 0.445747 earlier CDC study 0.611932 poor sleep habits 0.798168 local school officials 0.611507 later school times 0.66302 smoking tobacco 0.449161 biological rhythms.1 0.459921 Educate adolescent patients 0.569838 biological changes 0.459829 room lighting 0.453597 sleep 0.962318 drinking alcohol 0.47546 parent-set bedtimes 0.572332 daily physical activity 0.605974 North Dakota 0.470965 illicit drugs 0.461685 commonly mentioned barriers 0.570471 video gaming 0.455283 good health 0.469891 high school students 0.694272 times results 0.469276 Sleep Medicine 0.688396 American adolescents 0.638096 health risks 0.489697	CLICK HERE