| 1324 |
Centers for Disease Control and Prevention |
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Severe Respiratory Illness Associated with Enterovirus D68 -Missouri and Illinois, 2014 |
On September 8, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| CDC Picornavirus Laboratory | 0.348745 |
| chest radiographs | 0.295098 |
| Enterovirus D68* | 0.286866 |
| unexplained severe respiratory | 0.369423 |
| National Enterovirus Surveillance | 0.463726 |
| Fredrick Echols | 0.225258 |
| airway pressure ventilation | 0.478002 |
| nasopharyngeal specimens | 0.339422 |
| MMWR Early Release | 0.319712 |
| EV-D68 reports | 0.227988 |
| Susan I. Gerber | 0.308412 |
| state health departments | 0.276014 |
| intensive care unit | 0.677786 |
| Health care providers | 0.292683 |
| Kansas City | 0.627891 |
| website (http://www.cdc.gov/mmwr). | 0.319532 |
| patients | 0.343004 |
| underlying respiratory illness | 0.430518 |
| Mercy Hospital | 0.30448 |
| Respiratory Diseases | 0.271833 |
| various clinical symptoms | 0.281256 |
| febrile rash illness | 0.364011 |
| respiratory distress | 0.276119 |
| 1Epidemic Intelligence Service | 0.277378 |
| Rangaraj Selvarangan | 0.218513 |
|
| geographically distinct observations | 0.290651 |
| respiratory illness | 0.907227 |
| United States | 0.38735 |
| Chicago Medicine Comer | 0.312917 |
| mild respiratory illness | 0.412621 |
| George Turabelidze | 0.218432 |
| previous history | 0.299509 |
| Mary Anne Jackson | 0.311406 |
| Ajanta Patel | 0.223273 |
| severe symptoms | 0.224102 |
| laboratory detections | 0.2228 |
| Claire M. Midgley | 0.498755 |
| extracorporeal membrane oxygenation | 0.28746 |
| EV-D68 | 0.241998 |
| John T. Watson | 0.311271 |
| neurologic illness | 0.255754 |
| bilevel positive airway | 0.477253 |
| W. Allan Nix | 0.31327 |
| positive airway pressure | 0.477198 |
| multiplex polymerase chain | 0.303455 |
| B. Louise Giles | 0.310868 |
| severe respiratory illness | 0.798922 |
| Enterovirus infections | 0.264403 |
| 3Infectious Disease Department | 0.279996 |
|
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| 5504 |
Centers for Disease Control and Prevention |
Html |
en |
Yttrium - 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 |
|
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| 6130 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, July 18, 2011 |
null |
| Trop Med Int | 0.791108 |
| Swine influenza virus | 0.772827 |
| Dee DL | 0.761805 |
| microwave popcorn plant | 0.777282 |
| traumatic firefighter fatalities | 0.769361 |
| Massachusetts e-health project | 0.772289 |
| local wellness policies | 0.779726 |
| da Silva AJ | 0.767791 |
| CDC Science Clips | 0.916835 |
| Nutrition Examination Survey | 0.84582 |
| Industrial fungal enzymes | 0.769186 |
| colorectal cancer | 0.778617 |
| Chief Science Officer | 0.797347 |
| Medicaid payment levels | 0.778308 |
| health information exchange | 0.786392 |
| lung disease risk | 0.78475 |
| Taylor MM | 0.75554 |
| HIV-related mortality | 0.754635 |
| National Health | 0.790125 |
| global public health | 0.807287 |
| community health workers | 0.803377 |
| public domain | 0.75517 |
| Stephen B. Thacker | 0.869464 |
| Borne Zoonotic Dis. | 0.779379 |
| dental care | 0.753966 |
|
| Okoko BJ | 0.760145 |
| occupational allergen perspective | 0.770334 |
| Winscott MM | 0.758105 |
| effective HIV vaccine | 0.771899 |
| prospective data | 0.775721 |
| Transpl Infect Dis. | 0.775051 |
| potassium intake | 0.777795 |
| national observational cohort | 0.782585 |
| Jul | 0.858581 |
| public health literature | 0.7934 |
| urban ambulatory care | 0.786511 |
| rRNA Internal Transcribed | 0.77373 |
| 1-year prospective study | 0.783115 |
| B. Thacker CDC | 0.905764 |
| Currie BJ | 0.756867 |
| Brown DL | 0.763244 |
| Womens Health | 0.759202 |
| Garcia DL | 0.757868 |
| original sources | 0.757159 |
| Clin Vaccine Immunol. | 0.780219 |
| Swerdlow DL | 0.766619 |
| Asthma Call-Back Survey | 0.78276 |
| Thacker CDC Library | 0.905748 |
| Exp Biol Med | 0.782287 |
|
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| 6412 |
Centers for Disease Control and Prevention |
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en |
Fruit and Vegetable Consumption Among High School Students - United States, 2010 |
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. |
| neighborhood stores.§§§ School | 0.275303 |
| vegetable consumption | 0.576837 |
| School Health Guidelines | 0.279605 |
| Sonia A. Kim | 0.3095 |
| U.S. Department | 0.286028 |
| median consumption | 0.337626 |
| Median daily consumption | 0.346463 |
| food consumption | 0.275135 |
| fruit juice | 0.314866 |
| Additional information | 0.316745 |
| total fruit consumption | 0.337318 |
| National Youth Physical | 0.366125 |
| U.S. high school | 0.333052 |
| school salad bars | 0.275781 |
| high school program | 0.287248 |
| schools | 0.275168 |
| non-Hispanic white students | 0.37143 |
| environmental approaches | 0.368728 |
| reported median consumption | 0.324701 |
| median number | 0.316315 |
| National School Lunch | 0.27774 |
| green salad | 0.294666 |
| median daily vegetable | 0.352392 |
| salad bars | 0.311303 |
|
| consistently low fruit | 0.287686 |
| fruit | 0.52182 |
| infrequent fruit | 0.294442 |
| Nutrition Study | 0.290822 |
| Vegetable Program | 0.277017 |
| vegetables | 0.578628 |
| vegetable recommendations | 0.283553 |
| Current daily fruit | 0.322985 |
| response options | 0.292367 |
| times | 0.406334 |
| Hispanic students | 0.293798 |
| fruits | 0.371909 |
| daily physical activity | 0.287999 |
| vegetable access | 0.341044 |
| students ate vegetables | 0.359389 |
| Youth Physical Activity | 0.36573 |
| daily vegetable consumption | 0.371788 |
| high school students | 0.927446 |
| physical activity | 0.545047 |
| total vegetable consumption | 0.330322 |
| daily fruit consumption | 0.353043 |
| Fresh Fruit | 0.279475 |
| high school diploma | 0.286148 |
| school food advocates | 0.278496 |
|
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| 7244 |
Centers for Disease Control and Prevention |
Html |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0317 |
CDC’s Colorectal Cancer Control Program (CRCCP) funds 25 states and 4 tribal organizations to promote and increase colorectal cancer screening population-wide. The CRCCP grantees must use evidence-based strategies from the Guide to Community Preventive Services, including small media and client reminders. |
| patient education materials | 0.280029 |
| CRCCP leaders | 0.720017 |
| population subgroups | 0.273482 |
| small media | 0.916496 |
| colorectal cancer control | 0.299732 |
| colorectal cancer screening | 0.321196 |
| health care providers | 0.27751 |
| colorectal cancer resources | 0.357778 |
| information resources | 0.286591 |
| colorectal cancer | 0.759046 |
| client reminders | 0.751898 |
| CRC screening | 0.430655 |
| community partners | 0.767831 |
|
| environmental scan | 0.211237 |
| resources | 0.504815 |
| community health centers | 0.444735 |
| respondents | 0.494126 |
| CRCCP cooperative agreements | 0.20387 |
| survey | 0.332836 |
| Community Preventive Services | 0.291617 |
| American Indian/Alaska Native | 0.262687 |
| existing colorectal cancer | 0.23914 |
| tribal organizations | 0.339524 |
| busy lives | 0.235006 |
| message themes | 0.200284 |
|
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Centers for Disease Control and Prevention |
Html |
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Barriers to Human Papillomavirus (HPV) Vaccination Among Adolescents in the United States |
In the United States, HPV vaccination rates are low compared with other recommended vaccines. |
| CDC | 0.351446 |
| vulvar | 0.326432 |
| HPV vaccine recommendations | 0.662437 |
| throat cancer | 0.417989 |
| vaccination status | 0.419522 |
| health care providers | 0.492575 |
| Stokley S. Barriers | 0.515995 |
| different concerns | 0.400147 |
| anus | 0.327571 |
| 12-year-olds | 0.322659 |
| cervical cancers | 0.448744 |
| males | 0.321517 |
| literature review | 0.403034 |
| article | 0.32271 |
| recent estimates | 0.418553 |
| HPV vaccines | 0.607417 |
| acute care visits | 0.487612 |
| Health care professionals | 0.484453 |
| preteen boys | 0.425405 |
| doctors | 0.334575 |
| human papillomavirus | 0.555006 |
| shots | 0.340645 |
| women | 0.360552 |
| parents | 0.359686 |
| doses | 0.357153 |
|
| United States | 0.525342 |
| teens | 0.338762 |
| HPV vaccine | 0.926743 |
| U.S. adolescents | 0.415449 |
| certain groups | 0.397806 |
| vulva | 0.329502 |
| genital warts | 0.553758 |
| HPV vaccination rates | 0.674007 |
| penile cancer | 0.423743 |
| vaginal cancers | 0.452635 |
| female adolescents | 0.418202 |
| health care | 0.494996 |
| Roland KB | 0.409477 |
| preteens | 0.3379 |
| JAMA Pediatrics | 0.413371 |
| females | 0.320806 |
| Gardasil | 0.406848 |
| children’s health | 0.4044 |
| Benard | 0.325565 |
| anal cancer | 0.422514 |
| systematic review | 0.40251 |
| human papillomavirus vaccination | 0.521182 |
| people | 0.322658 |
| series | 0.340677 |
|
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| 11230 |
Centers for Disease Control and Prevention |
Html |
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Cáncer de mama y de ovario hereditarios |
Tener antecedentes familiares de cáncer de mama y de ovario afecta el riesgo de una mujer de presentar estas enfermedades. Aprenda acerca del riesgo hereditario y si se podría beneficiar de la consejería y de las pruebas genéticas. |
| antecedentes familiares | 0.971392 |
| genes brca | 0.35017 |
| Archivo Apple Quicktime | 0.320956 |
| Archivo RealPlayer | 0.312755 |
| pariente hombre | 0.320336 |
| temprana edad | 0.343906 |
| Archivo Microsoft PowerPoint | 0.322356 |
| Archivo Adobe PDF | 0.320666 |
| pequeña cantidad | 0.313198 |
| Estados Unidos | 0.317206 |
|
| Archivo Microsoft | 0.359658 |
| Archivo Microsoft Word | 0.32214 |
| siguientes caracterÃsticas | 0.315252 |
| importantes genes | 0.321983 |
| Salud Familiar | 0.314081 |
| Archivo Zip Comprimido | 0.320727 |
| Archivo Microsoft Excel | 0.320503 |
| dé cáncer | 0.348716 |
| Ancestros judÃos asquenazÃes | 0.394321 |
|
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Centers for Disease Control and Prevention |
Html |
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Enfermedad del Ébola |
null |
| largest outbreak | 0.463787 |
| CDC | 0.255899 |
| references | 0.247964 |
| challenges | 0.247796 |
| infected individual | 0.459609 |
| source | 0.244787 |
| Spread | 0.256214 |
| ebolavirus | 0.255443 |
| U.S. | 0.247581 |
| health care workers | 0.966242 |
| List | 0.24833 |
| bodily fluids | 0.503314 |
| epidemic | 0.260643 |
|
| prevention measures | 0.440422 |
| friends | 0.246063 |
| highest risk | 0.716375 |
| exposure | 0.263499 |
| guidance | 0.250211 |
| partners | 0.245086 |
| West Africa | 0.430434 |
| person | 0.252071 |
| past outbreaks | 0.492345 |
| outbreak chronology | 0.497707 |
| managing | 0.249434 |
| family | 0.296743 |
| Ebola | 0.834934 |
|
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| 13545 |
Centers for Disease Control and Prevention |
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en |
National, State, and Selected Local Area VaccinationCoverage Among Children Aged 19-35 Months - United States,2014 |
Holly A. Hill, MD, PhD1; Laurie D. Elam-Evans, PhD1; David Yankey, MS, MPH1; James A. |
| birth dose coverage | 0.612813 |
| complete vaccination levels | 0.484371 |
| DTaP coverage | 0.466235 |
| doses | 0.644745 |
| provider-confirmed vaccination data | 0.48147 |
| federal poverty level | 0.470419 |
| rotavirus vaccine | 0.619016 |
| poverty status | 0.639516 |
| final dose | 0.489417 |
| Holly A. Hill | 0.482058 |
| phone frame.*** Coverage | 0.46984 |
| vaccination coverage | 0.974633 |
| national coverage | 0.549589 |
| Non-Hispanic black¶¶¶ children | 0.494881 |
| rotavirus coverage | 0.468476 |
| children | 0.745297 |
| U.S. children | 0.524843 |
| non-Hispanic white counterparts | 0.524703 |
| lower estimated coverage | 0.54309 |
| vaccination coverage levels | 0.691 |
| routine childhood vaccination | 0.504095 |
| catch-up vaccination practices | 0.484048 |
| area vaccination coverage | 0.59652 |
| overall immunization coverage | 0.466222 |
|
| varicella vaccine | 0.464745 |
| Hib | 0.459338 |
| vaccination provider | 0.458778 |
| percentage point increase | 0.457955 |
| poverty level | 0.82065 |
| rotavirus vaccination coverage | 0.609117 |
| comparable vaccination coverage | 0.534251 |
| unknown vaccination status | 0.481562 |
| doses pneumococcal conjugate | 0.502836 |
| specific vaccine doses | 0.561936 |
| lower coverage levels | 0.484328 |
| highest state-level coverage | 0.461404 |
| HepB birth dose | 0.651669 |
| HepA doses | 0.611429 |
| series | 0.501856 |
| rotavirus vaccination | 0.640422 |
| NIS | 0.472934 |
| non-Hispanic white children | 0.637441 |
| non-Hispanic black children | 0.579237 |
| vaccine-preventable diseases | 0.466427 |
| high vaccination coverage | 0.645779 |
| poliovirus vaccine | 0.511486 |
| high national coverage | 0.470895 |
|
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Centers for Disease Control and Prevention |
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Preventing Unintended Pregnancy during the Zika Virus Outbreak |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| newer synthetic condoms | 0.581534 |
| male condom | 0.605882 |
| Transcervical sterilization —A | 0.567416 |
| right time | 0.547563 |
| cervical cap | 0.605706 |
| progestin-only pill | 0.548361 |
| Emergency contraception | 0.564169 |
| contraceptive ring —The | 0.578208 |
| reversible birth control | 0.605106 |
| birth control methods | 0.702257 |
| unintended pregnancy | 0.548081 |
| permanent methods | 0.550365 |
| Implant —The implant | 0.582508 |
| pregnancy | 0.57315 |
| birth control pills | 0.651017 |
| sexually transmitted diseases | 0.566251 |
| birth control | 0.914207 |
| female condoms | 0.575533 |
| Female sterilization—tubal ligation | 0.56535 |
| natural family planning | 0.61626 |
| progestin-only birth control | 0.591632 |
| drug stores | 0.572674 |
| women | 0.595392 |
| birth control options | 0.584853 |
| Progestin only pill | 0.574624 |
|
| long-acting reversible contraception | 0.580917 |
| permanent birth control | 0.583532 |
| hormones progestin | 0.589432 |
| regular menstrual cycle | 0.566393 |
| primary method | 0.571003 |
| Patch —The patch | 0.578793 |
| Male sterilization —vasectomy | 0.563665 |
| Male condom —A | 0.582894 |
| sex | 0.578987 |
| birth control method | 0.590808 |
| sperm | 0.606517 |
| scar tissue | 0.589751 |
| female condom | 0.6032 |
| doctor | 0.610396 |
| small T-shaped device | 0.57095 |
| mini pill | 0.54761 |
| fallopian tubes | 0.599016 |
| contraceptive implants | 0.584527 |
| Hormonal IUD —This | 0.580098 |
| monthly fertility pattern | 0.563196 |
| outpatient surgical center | 0.61634 |
| time | 0.589677 |
| Latex condoms | 0.551846 |
| combined oral contraceptives | 0.567714 |
|
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