| 5789 |
Centers for Disease Control and Prevention |
Html |
en |
Ethyl alcohol - 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 |
| 6279 |
Centers for Disease Control and Prevention |
Html |
en |
Watching Hands: Artists Respond to Keeping Well - Media Advisory: September 21, 2011 |
Watching Hands: Artists Respond to Keeping Well
|
| country | 0.530284 |
| Laura Splan | 0.664254 |
| CDC Foundation | 0.708217 |
| Smithsonian Museum | 0.72479 |
| current public health | 0.819765 |
| Keeping | 0.53766 |
| act | 0.530687 |
| Disease Control | 0.676427 |
| Health Odyssey Museum | 0.814221 |
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| entrance | 0.527654 |
| a.m. | 0.550898 |
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| Sencer CDC Museum | 0.905741 |
| p.m. | 0.546117 |
| Clifton Road NE | 0.82569 |
| new work | 0.695718 |
| John Bankston | 0.685763 |
| artists Didi Dunphy | 0.927753 |
| Hands exhibit | 0.781129 |
| handwashing | 0.54588 |
| Centers | 0.527919 |
| Displays | 0.528198 |
|
| government-issued photo ID | 0.789677 |
| Joe Peragine | 0.7236 |
| Communications Center | 0.675976 |
| Prevention | 0.527874 |
| museum website http://www.cdc.gov/museum/ | 0.823087 |
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| Atlanta | 0.528985 |
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| Tom Harkin Global | 0.843546 |
| Katherine L. Ross | 0.808138 |
| Georgia-Pacific Professional | 0.684603 |
| display | 0.529892 |
| Special note | 0.657631 |
| graphic design | 0.671966 |
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| new media | 0.673671 |
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| San Francisco | 0.668343 |
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| James Victore | 0.667627 |
| information | 0.576373 |
|
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| 7029 |
Centers for Disease Control and Prevention |
Html |
en |
Section 105 of the Tobacco Control Act - Enforcement Action Plan for Advertising and Promotion Restrictions |
null |
| date | 0.333743 |
| paragraph | 0.360007 |
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| Tobacco Control Act | 0.825056 |
| section | 0.497856 |
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| division | 0.35965 |
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| Advertising Restrictions | 0.425404 |
| Priority. The action | 0.388526 |
| Advertising Act | 0.383309 |
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|
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| demonstrated expertise | 0.392945 |
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| minors | 0.317637 |
| Consultation. The action | 0.390146 |
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| entities | 0.331791 |
| State | 0.32922 |
| Related Resources | 0.398797 |
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| Regulation | 0.317512 |
| tribal governments | 0.385437 |
|
CLICK HERE |
| 7176 |
Centers for Disease Control and Prevention |
Html |
en |
Update to CDC's U.S. Medical Eligibility Criteria for Contraceptive Use, 2010: Revised Recommendations for the Use of Hormonal Contraception Among Women at High Risk for HIV Infection or Infected with HIV |
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. |
| genital viral shedding | 0.615165 |
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| CDC | 0.527493 |
| drug interactions | 0.491161 |
| evidence | 0.560187 |
| effective contraceptive methods | 0.536197 |
| Naomi K. Tepper | 0.486824 |
| HIV infection¶ | 0.537261 |
| progestin-only injectables | 0.528395 |
| HIV preventive measures | 0.62133 |
| Medical Eligibility Criteria | 0.505978 |
| unintended pregnancy | 0.597156 |
| ad hoc reviewers | 0.495758 |
| possible increased risk | 0.491697 |
| statistically significant association | 0.493449 |
| World Health Organization | 0.503185 |
| plasma viral load | 0.530913 |
| lower HIV incidence | 0.561682 |
| different hormonal contraceptives | 0.522265 |
| oral contraceptive users | 0.518524 |
| oral contraceptive pills | 0.505038 |
| high risk | 0.665727 |
| contraceptive methods | 0.651212 |
| frequent follow-up visits | 0.491986 |
| female-to-male HIV transmission | 0.661277 |
|
| limited statistical power | 0.494994 |
| women | 0.614187 |
| inconclusive nature | 0.491616 |
| new evidence | 0.490286 |
| United States | 0.585946 |
| contraceptive access | 0.503724 |
| progestin-only injectable contraception | 0.498231 |
| hiv infection | 0.991037 |
| evidence-based contraceptive guidance | 0.520645 |
| hormonal contraception | 0.673471 |
| significant increased risk | 0.488303 |
| hormonal contraceptive users | 0.56292 |
| sexually transmitted infections | 0.50066 |
| clear causal association | 0.490972 |
| studies | 0.518013 |
| HIV infectivity | 0.546114 |
| HIV acquisition | 0.976603 |
| HIV disease progression | 0.656538 |
| hormonal contraceptives | 0.784792 |
| HIV transmissions | 0.566828 |
| contraceptive method mix | 0.567386 |
| unacceptable health risk | 0.521369 |
| HIV viral load | 0.556711 |
| HIV testing | 0.542308 |
|
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| 7465 |
Centers for Disease Control and Prevention |
Html |
en |
Heat Related Illness (HRI) Prevention |
The National Center for Environmental Health’s Health Studies Branch (HSB) at the Centers for Disease Control and Prevention (CDC) is the response branch for the Center. HSB conducts rapid epidemiologic investigations in response to outbreaks that are believed to have environmental causes and responds to natural and technologic disasters. |
| financial interests | 0.717509 |
| CDC | 0.833679 |
| CDC’s CE | 0.814476 |
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| Associate Director | 0.749169 |
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| commercial supporters | 0.914216 |
| Disease Control | 0.953486 |
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| bias | 0.545312 |
| guidelines | 0.546083 |
| Health Program | 0.73328 |
| hardware | 0.541864 |
| development | 0.546145 |
| commercial services | 0.908825 |
| unlabeled product | 0.785093 |
| George Luber | 0.776945 |
| basic computer skills | 0.742677 |
| American Nurses | 0.754361 |
| heat-related illness | 0.797286 |
| coaches | 0.58822 |
| CEU | 0.605904 |
| commercial products | 0.909564 |
| presenters | 0.545787 |
| education requirements | 0.723565 |
|
| http://www.cdc.gov/TCEOnline | 0.572047 |
| CNE | 0.55874 |
| internet connection | 0.741679 |
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| parents | 0.588007 |
| Expiration Date | 0.771244 |
| Centers | 0.579931 |
| commercial support | 0.733693 |
| activity | 0.581179 |
| students | 0.588057 |
| training | 0.546309 |
| target audience | 0.736529 |
| Prevention | 0.579791 |
| athletic trainers | 0.77613 |
| content experts | 0.719634 |
| teachers | 0.545954 |
| participants | 0.543049 |
| Continuing Nursing Education | 0.921083 |
| manufacturers | 0.576685 |
| implementation | 0.546114 |
| Climate Change | 0.748742 |
| material | 0.543686 |
| web-based course | 0.73646 |
| learner | 0.559037 |
|
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| 8487 |
Centers for Disease Control and Prevention |
Html |
en |
Nathan's Biography - Nathan's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The biography of Nathan, a Native American, who contracted permanent lung damage called bronchiectasis as a result of secondhand smoke at work. These illnesses ultimately led to his death. he is featured in CDC's Tips campaign. |
| Oglala Sioux tribe | 0.546863 |
| sinus infections | 0.329774 |
| adult children | 0.304741 |
| casino | 0.232573 |
| active person | 0.308615 |
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| bronchiectasis | 0.212017 |
| Young people | 0.290383 |
| major motorcycle company | 0.47682 |
| Nathan | 0.98554 |
| early death | 0.29861 |
| Marines reconnaissance division | 0.486385 |
| eye irritation | 0.336003 |
| smoking | 0.234073 |
| damaged his lungs | 0.364537 |
|
| short distance | 0.31448 |
| permanent lung damage | 0.555975 |
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| secondhand smoke | 0.954152 |
| special passion | 0.293763 |
| Native American | 0.344264 |
| asthma attacks | 0.568042 |
| grandchildren | 0.281411 |
| secondhand smoke Nathan | 0.929465 |
| high school basketball | 0.474427 |
| long marriage | 0.310562 |
| lung problems | 0.320195 |
| frequent problems | 0.32048 |
| exposure | 0.233655 |
| young man | 0.30268 |
| heavy smoker | 0.325367 |
| frequent asthma attacks | 0.54066 |
|
CLICK HERE |
| 10762 |
Centers for Disease Control and Prevention |
Html |
en |
PRAMS Questionnaires - Pregnancy Risk Assessment Monitoring System - Reproductive Health |
PRAMS Questionnaires |
| mailing packets | 0.273606 |
| CDC | 0.321927 |
| mental health | 0.27139 |
| mixed-mode methodology | 0.274993 |
| questions | 0.75386 |
| early infant development | 0.327827 |
| large Hispanic population | 0.328504 |
| PRAMS states | 0.386119 |
| standard questions | 0.63243 |
| significant input | 0.274735 |
| new format | 0.277442 |
| self-administered questionnaire | 0.431019 |
| topic area | 0.273027 |
| additional information | 0.272 |
| PRAMS questionnaire | 0.5809 |
| phase | 0.714891 |
| social support | 0.274774 |
| physical abuse | 0.335217 |
| list | 0.302328 |
| different phases | 0.273878 |
| prenatal care | 0.335922 |
| revision | 0.333695 |
| topic reference documents | 0.33313 |
| core portion | 0.275683 |
|
| health status | 0.268908 |
| PRAMS core questionnaire | 0.500062 |
| maternal stress | 0.272913 |
| extensive list | 0.284273 |
| interviewer-administered questionnaire | 0.42562 |
| original structure | 0.365917 |
| telephone phase | 0.332685 |
| questionnaire | 0.950611 |
| Spanish questionnaire | 0.382421 |
| additional topics | 0.270907 |
| states | 0.515189 |
| original PRAMS | 0.354955 |
| core questions | 0.286905 |
| testing standard questions | 0.346208 |
| potential topics | 0.281232 |
| two-column layout | 0.283116 |
| PRAMS survey | 0.326436 |
| economic status | 0.272401 |
| injury prevention | 0.274663 |
| topics | 0.32931 |
| new questions | 0.414858 |
| single column | 0.280474 |
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| comprehensive list | 0.274264 |
|
CLICK HERE |
| 12049 |
Centers for Disease Control and Prevention |
Html |
en |
Diabetes Self-Management Education and Training AmongPrivately Insured Persons with Newly Diagnosed Diabetes - UnitedStates, 2011-2012 |
Rui Li, PhD1, Sundar S. Shrestha, PhD1, Ruth Lipman, PhD2, Nilka R. Burrows, MPH1, Leslie E. |
| blood glucose | 0.476962 |
| Control Diabetes | 0.562576 |
| health insurance | 0.514387 |
| health plans | 0.503594 |
| Truven Health Analytics | 0.486475 |
| diabetes medication prescription | 0.610968 |
| newly diagnosed adults | 0.559696 |
| complex chronic disease | 0.477287 |
| Nilka R. Burrows | 0.47775 |
| State Public Health | 0.476979 |
| diabetes education class | 0.595683 |
| private health insurance | 0.489856 |
| diabetes patients | 0.559866 |
| Leslie E. Kolb | 0.476229 |
| DSMT | 0.722278 |
| Rui Li | 0.477409 |
| private insurance | 0.499835 |
| diabetes.* DSMT participation | 0.535803 |
| newly diagnosed diabetes | 0.957991 |
| Diabetes Educators | 0.573531 |
| multiple DSMT visits | 0.493854 |
| health insurance coverage | 0.485033 |
| Diabetes self-management education | 0.634468 |
| health care setting | 0.481226 |
|
| diabetes medications | 0.577575 |
| diabetes disease process | 0.633882 |
| Promote School Health | 0.477155 |
| health | 0.52665 |
| diagnosis | 0.476998 |
| newly prescribed insulin | 0.515435 |
| employer-provided health insurance | 0.484137 |
| diabetes complications | 0.621191 |
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| health care costs | 0.480163 |
| blood glucose monitoring | 0.476601 |
| persons | 0.564764 |
| diabetes management | 0.563122 |
| fee-for-service health plans | 0.484643 |
| metropolitan statistical area | 0.537108 |
| Sundar S. Shrestha | 0.478684 |
| integrated diabetes care | 0.634467 |
| American Diabetes Association | 0.678377 |
| Low DSMT participation | 0.525544 |
| DSMT participation | 0.709576 |
| privately insured adults | 0.532304 |
| Marketscan private insurance | 0.489098 |
| Diabetes Translation | 0.560082 |
|
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| 13016 |
Centers for Disease Control and Prevention |
Html |
en |
Pertussis | Pregnancy and Whooping Cough | Your Baby NeedsVaccines on Time | CDC |
Your baby needs his whooping cough vaccine on time as it is the best way to prevent whooping cough during childhood. |
| pregnant outweigh | 0.262992 |
| CDC | 0.212638 |
| Español | 0.216482 |
| Page | 0.225714 |
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| tetanus | 0.214323 |
| children | 0.212596 |
| Tdap | 0.212296 |
| antibodies | 0.247229 |
| DTaP shots | 0.257217 |
| issue | 0.223616 |
| greatest risk | 0.253965 |
| birth | 0.236183 |
| recent study | 0.316221 |
| severe disease | 0.253359 |
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| interference | 0.211396 |
| DTaP dose | 0.262117 |
| parents | 0.211991 |
| doses | 0.251634 |
| fact | 0.211526 |
| young babies | 0.267216 |
| whooping cough vaccine | 0.76017 |
| short-term protection | 0.259649 |
|
| adults | 0.212305 |
| high levels | 0.260636 |
| protection | 0.296462 |
| babies | 0.280185 |
| potentially life-threating complications | 0.303858 |
| whooping cough deaths | 0.446361 |
| whooping cough vaccines | 0.557926 |
| immune response | 0.256355 |
| studies | 0.211448 |
| diphtheria | 0.214635 |
| DTaP vaccines | 0.266894 |
| childhood | 0.211221 |
| DTaP vaccine | 0.438281 |
| newborns | 0.212434 |
| vacunas contra la | 0.325758 |
| potential risk | 0.252692 |
| whooping cough | 0.943086 |
| schedule | 0.211019 |
| Researchers | 0.211418 |
| tiempo | 0.218253 |
| baby | 0.355703 |
| Su bebé necesita | 0.326889 |
| time | 0.225719 |
| age | 0.211157 |
|
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| 16070 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Dental Sealant Use and Untreated Tooth DecayAmong U.S. School-Aged Children | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| untreated dental disease | 0.304314 |
| decay prevalences | 0.299489 |
| dental sealants | 0.437295 |
| Task Force | 0.309519 |
| poor oral health | 0.305832 |
| mean DFFM | 0.297767 |
| high school education | 0.288981 |
| dental care performance | 0.273031 |
| higher-income children | 0.438263 |
| children | 0.808928 |
| low-income children | 0.683995 |
| U.S. children | 0.275536 |
| Averted tooth decay | 0.375881 |
| school-based dental sealant | 0.455744 |
| permanent tooth | 0.285663 |
| untreated decay status | 0.348748 |
| oral health | 0.398062 |
| untreated decay | 0.52461 |
| regular dental care | 0.317774 |
| oral health programs | 0.296552 |
| low-income families | 0.285654 |
| untreated decay prevalence | 0.41317 |
| high risk | 0.324683 |
| free/reduced-price meal program | 0.304796 |
|
| non-Hispanic white children | 0.296823 |
| sealant use prevalence | 0.538399 |
| federal poverty level | 0.306229 |
| molar developing decay | 0.316219 |
| dental care | 0.357535 |
| SBSP | 0.292628 |
| sealants | 0.601927 |
| percentage points | 0.326473 |
| especially children | 0.283672 |
| sealant effectiveness | 0.305049 |
| sealant application | 0.297523 |
| dental sealant programs | 0.450649 |
| public health | 0.316563 |
| NHANES data | 0.288175 |
| tooth decay | 0.908832 |
| family income | 0.300764 |
| lack sealants | 0.303346 |
| state oral health | 0.293358 |
| dental sealant | 0.47067 |
| school-based sealant programs | 0.425261 |
| sealant prevalence | 0.344732 |
| et al | 0.28099 |
| untreated tooth decay | 0.634435 |
| non-Hispanic black children | 0.296717 |
|
CLICK HERE |