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
889	Centers for Disease Control and Prevention	Html	en	February is American Heart Month - 2013 | CDC Features	Heart disease is the leading cause of death for both men and women, but heart disease is preventable and controllable.	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
1211	Centers for Disease Control and Prevention	Html	en	Routine HIV Screening in Two Health-Care Settings - New YorkCity and New Orleans, 2011-2013	Xia Lin, PhD1,2, Patricia M. Dietz, DrPH2, Vanessa Rodriguez3, Deborah Lester3, Paloma Hernandez, MPH3, Lisa Moreno-Walton, MD4, Grant Johnson, MPH4, Michelle M. Van Handel, MPH2, Jacek Skarbinski, MD2, Christine L.	routine screening 0.313732 previously diagnosed HIV 0.524898 HIV information 0.420132 local HIV care 0.458378 acute HIV infections 0.455988 different HIV prevalence 0.421555 laboratory HIV tests 0.459059 New York City 0.334794 HIV infections 0.489661 best HIV testing 0.462811 undiagnosed HIV infection 0.552082 novel HIV 0.442774 acute HIV infection 0.752144 new HIV diagnosis 0.449899 UHP 0.361053 test result 0.339005 test results 0.358553 routine HIV testing 0.483083 coordinator contacts patients 0.293893 patients 0.505074 new screening programs 0.302997 HIV medical care 0.738314 UHP commercial laboratory 0.315632 conventional laboratory testing 0.32366 HIV antibody 0.416367	routine hiv screening 0.831513 routine screening program 0.301254 scalable routine HIV 0.440461 HIV laboratory test 0.472582 opt-in HIV screening 0.468321 HIV surveillance 0.409278 newly diagnosed HIV 0.517539 health-care settings 0.306803 HIV transmission 0.413592 HIV screening program 0.508052 HIV antigen/antibody combination 0.44092 New York 0.357874 federally qualified health 0.324342 monthly average number 0.320754 HIV screening programs 0.584964 primary HIV 0.417394 HIV test 0.52719 HIV test offer 0.460438 new screening strategy 0.287428 HIV 0.986001 HIV viral load 0.439471 HIV testing 0.524628 routine screening period 0.304021 HIV infection 0.98387	CLICK HERE
1267	Centers for Disease Control and Prevention	Html	en	Health Disparities in Cancer	Disparities affect many groups of people, including racial and ethnic minorities, residents of rural areas, women, children and adolescents, the elderly, people with disabilities, and the uninsured.	average risk 0.472744 tobacco-related cancers 0.481427 Ashkenazi Jewish heritage 0.530207 personal health history 0.53261 Health Equity 0.4878 high-quality treatment 0.473929 lung cancer 0.645401 Minority Health 0.488932 aggressive cancers 0.487466 new cancer cases 0.586535 health disparities 0.613799 U.S. Cigarette smoking 0.514591 CDC’s Office 0.476747 ethnic groups 0.526632 secondhand smoke 0.511126 rural areas 0.479623 colorectal cancer 0.709569 overall health 0.487831 prostate specific antigen 0.542262 cancer diagnosis 0.525131 cervical cancer 0.60977 life expectancy 0.477374 better follow-up care 0.527464 BRCA gene mutation 0.523123 white women 0.540097	human papillomavirus 0.470765 United States 0.539438 African American men 0.518094 healthy lifestyle choices 0.533792 Prostate cancers 0.50746 Colorectal cancers 0.511687 African American women 0.733771 liver cancer cases 0.652384 higher risk 0.475373 person’s risk 0.52968 n’t work 0.4705 New liver cancer 0.560683 breast cancer 0.653571 Breast cancer deaths 0.586605 poorer housing 0.475302 highest rates 0.661609 people 0.498888 risk factor 0.470557 cancer screening tests 0.598182 lung cancer risk 0.567934 various races 0.477906 prostate cancer 0.654209 highest death rate 0.532536 cancer 0.903751	CLICK HERE
4778	Centers for Disease Control and Prevention	Html	en	Pertussis Signs and Symptoms	Signs and Symptoms of Pertussis	rapid coughing 0.351279 Early symptoms 0.293923 Ciofi ML 0.280269 pertussis 0.913108 comparative effectiveness trial 0.332513 McNamara LA 0.279268 mild cough 0.360093 Clin Infect Dis 0.372663 Signos y síntomas 0.296543 Tozzi AE 0.28159 illness severity 0.281106 unvaccinated adolescents 0.274906 vaccinated children 0.291811 coughing fit 0.355985 Reduced severity 0.282048 acellular pertussis vaccine 0.608599 Low-grade fever 0.292671 component DTP vaccine 0.354378 fits 0.29337 respiratory infections 0.280805 Clin Infect Dis. 0.501033 pertussis infections 0.593399 pertussis vaccine 0.610444 Cherry JD 0.352984	common cold 0.284387 cold-like symptoms 0.298036 United States 0.277784 DT vaccine 0.294637 early stages 0.280713 extreme coughing 0.359015 babies 0.329434 occasional cough 0.3484 Runny nose 0.294388 pertussis symptoms 0.602805 severe symptoms 0.287248 age-appropriate pertussis vaccination 0.585624 rapid coughs 0.287247 Barlow RS 0.276997 healthcare professionals 0.28537 Cieslak PR 0.280744 disease 0.2912 Bordetella pertussis infections 0.586672 pertussis complications 0.566975 breathing pattern 0.289704 Lederle/Takeda acellular pertussis 0.582921 Clinical presentation 0.27831 et al 0.555667 Ward JI 0.276471	CLICK HERE
6890	Centers for Disease Control and Prevention	Html	en	Information for People With Chronic Conditions and Disabilities|Natural Disasters and Severe Weather	Information on disasters. Provided by the Centers for Disease Control and Prevention (CDC).	Microsoft PowerPoint file 0.724862 Carbon Monoxide Poisoning 0.848457 Vibrio vulnificus Wound 0.717101 Water Safe 0.734294 Infection Control 0.738804 Winter Weather Checklists 0.732872 Evacuation Center Play 0.739595 Microsoft Word file 0.728181 Hot Weather Tips 0.731444 Control Infection Control 0.727176 Natural Disasters 0.766783 Disaster Technical Considerations 0.749751 Lightning Safety Tips 0.748324 Disaster Location 0.717588 Microsoft Excel file 0.723926 page options Skip 0.740232 Safety Food Safety 0.798077 different file formats 0.726178 Public Evacuation Centers 0.75366 Disaster Resources Educational 0.784399 Apple Quicktime file 0.720322 Missouri Cooling Centers 0.726145 Cold Weather Hypothermia 0.719189 Wildfires PSAs 0.71681	Building Water Systems 0.732407 Adobe PDF file 0.721737 Pressure Washer Safety 0.735897 Evacuation Centers 0.902478 Storm Indoor Safety 0.750819 Tsunamis Health Effects 0.727638 Winter Weather 0.740642 Search Form Controls 0.836516 Pesticide Safety Guidance 0.736535 Disaster Evacuation Centers 0.815847 Emergency Health Professionals 0.748111 Disaster Immunization Immunization 0.773587 Extreme Heat PSAs 0.77068 Outdoor Safety 0.747063 Extreme Heat 0.775758 Workers Health Care 0.751906 Search Controls 0.736329 Tsunami Worker Safety 0.744429 Disaster Information 0.737831 Educational Materials 0.795868 Community Evacuation Centers 0.754672 Worker Safety 0.824362 Severe Weather 0.769551 High Blood Pressure 0.763115	CLICK HERE
9305	Centers for Disease Control and Prevention	Html	es	CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0301	CDC - Wide Page example description goes here	factores inductores 0.702408 salud pública 0.915191 siglo xix 0.720943	microbios patógenos 0.732789 resultantes reducciones 0.707917	CLICK HERE
11637	Centers for Disease Control and Prevention	Html	en	NIOSH Program Portfolio : Mining : Economics	The mission of the NIOSH research program for the Mining sector is to eliminate occupational diseases, injuries, and fatalities among workers in the mining industries.	Older miners 0.741316 North American Rig 0.758946 U.S. Department 0.92917 cleaner coal-burning technology 0.778996 Coal accounts 0.742541 major oil companies 0.792153 large domestic oil 0.782788 stone mines 0.75667 underground mining 0.738612 private nonfarm payrolls 0.786368 major coal companies 0.8317 eastern mines 0.767093 western surface mines 0.851126 gas production 0.729621 extractive industries 0.820135 San Juan College 0.760424 experienced mining engineers 0.797013 gas extraction industry 0.776991 Central Appalachian coalfields 0.972345 radical new developments 0.786236 new underground mines 0.869584 older workers 0.799412 underground mines 0.905021 Official energy statistics 0.771019 Labor Statistics. 0.755638	metal mines 0.764667 western United States 0.768855 safer longwall technology 0.785525 Coal miners 0.778292 United States 0.900145 gas training facilities 0.784301 major new investments 0.792914 poor sleep patterns 0.760947 better coal reserves 0.814009 recent decades 0.787842 coal production 0.753802 Plains Technology Center 0.767481 Career guide 0.75526 Current high levels 0.765858 Clean Air Act 0.943787 metal mining 0.860058 previous underground experience 0.780646 entire new generation 0.805938 new power plants 0.788738 gas industries 0.742353 Annual coal report 0.802789 mining technology 0.731461 difficult geologic conditions 0.770733 typical nonsupervisory worker 0.775897	CLICK HERE
13665	Centers for Disease Control and Prevention	Html	es	Datos basicos sobre la tuberculosis	Centers for Disease Control and Prevention, Division of Tuberculosis Elimination	llamada mycobacterium tuberculosis 0.722037 Archivo Apple Quicktime 0.588878 Archivo RealPlayer 0.511647 Archivo Zip Comprimido 0.596804	Archivo Microsoft PowerPoint 0.624972 Archivo Adobe PDF 0.595649 Archivo Microsoft Excel 0.594809 Archivo Microsoft 0.928186	CLICK HERE
16355	Centers for Disease Control and Prevention	Html	en	Asthma Among Employed Adults, by Industry and Occupation -21 States, 2013 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	work-exacerbated asthma 0.339158 occupation 0.327138 occupational asthma 0.300568 optional asthma modules 0.349509 current asthma prevalence 0.572422 in-depth asthma survey 0.374639 industry 0.294748 occupation module 0.258004 exacerbated asthma 0.301122 work-related asthma 0.741055 work-related asthma prevalence 0.443731 high current asthma 0.339291 asthma address prevention 0.316101 states 0.246891 social assistance industry 0.237867 adult asthma 0.297438 work-related asthma exposures 0.371657	highest current asthma 0.380042 current asthma 0.926015 health care 0.444632 workplace exposures 0.274157 work-related asthma diagnosis 0.417386 asthma exacerbations 0.299906 work-related asthma prevention 0.397381 powdered latex gloves 0.212072 Asthma Call-back Survey 0.444472 new-onset asthma 0.337281 state-level asthma prevalence 0.338344 work-related asthma intervention 0.415312 care support occupations 0.306833 occupation information 0.224094 asthma symptoms 0.289264 state-specific work-related asthma 0.433274 health care support 0.282908	CLICK HERE
16461	Centers for Disease Control and Prevention	Html	en	Outbreak of Salmonella Oslo Infections Linked to PersianCucumbers - United States, 2016 | MMWR	The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).	Salmonella 0.657503 Salmonella contamination 0.435136 Human Services 0.401454 cucumber samples 0.378245 serotype Oslo infections 0.45755 Safety Modernization Act 0.424669 Administration Coordinated Outbreak 0.380315 outbreak 0.513165 Zoonotic Infectious Diseases 0.378475 Persian cucumbers 0.808084 ill persons 0.579855 Modernization Act requirements 0.424657 PFGE pattern 0.492382 patients 0.361896 reported clinical cases 0.364897 grocery stores 0.377259 cucumber-associated Salmonella outbreaks 0.482247 raw cucumbers 0.515605 common bacterial cause 0.423742 supplemental questionnaire 0.386646 illness onset 0.493353 contaminated cucumbers 0.528016 seedless cucumbers 0.544032 Canadian-grown cucumbers 0.535197 domestic cucumbers 0.564396	Outbreak Response 0.363059 consuming cucumbers 0.543924 epidemiologic evidence 0.399751 Drug Administration 0.456142 XbaI PFGE pattern 0.441969 enterica serotype Oslo 0.462251 Salmonella infections 0.410571 Persian cucumber products 0.453802 informational traceback 0.450135 public health 0.473288 short shelf life 0.403105 outbreak strain 0.39791 recent multistate outbreaks 0.379098 Salmonella Oslo cases 0.45185 FoodNet Population Survey 0.525177 Food Safety Modernization 0.427245 Salmonella enterica serotype 0.575908 National Outbreak Reporting 0.433 Salmonella Oslo infections 0.624101 U.S. outbreak pattern 0.40003 cucumbers 0.951642 foodborne disease 0.40799 Salmonella outbreaks 0.491351 recommendations.** Cucumbers 0.509575	CLICK HERE