| 4945 |
Centers for Disease Control and Prevention |
Html |
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C. diff excerpt - HAI |
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| 6418 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, November 28, 2011 |
null |
| endorsement | 0.373865 |
| current awareness | 0.389405 |
| findings | 0.332799 |
| asterisk | 0.322815 |
| full-text link | 0.3949 |
| New York City | 0.47006 |
| Continuum | 0.319012 |
| Disease Control | 0.389874 |
| CDC Science Clips | 0.757135 |
| clinicians | 0.317304 |
| HIV-related medical care | 0.47991 |
| factual accuracy | 0.390512 |
| issue | 0.337804 |
| Chief Science Officer | 0.488124 |
| conclusions | 0.317063 |
| scientific articles | 0.416294 |
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| DHHS | 0.418476 |
| regular format | 0.399974 |
| DISCLAIMER | 0.320282 |
| proofs | 0.317651 |
| general review articles | 0.49422 |
| public domain | 0.397676 |
| CDC licensed materials | 0.615393 |
| Stephen B. Thacker | 0.656897 |
|
| current Vital Signs | 0.494678 |
| items | 0.343133 |
| SFX window | 0.406276 |
| authoritative sources | 0.404175 |
| www.cdc.gov/vitalsigns | 0.318016 |
| public health professionals | 0.482842 |
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| views | 0.330372 |
| weekly digest | 0.407865 |
| Science Clips | 0.955797 |
| informational purposes | 0.384514 |
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| SFX server | 0.406954 |
| permission | 0.317459 |
| B. Thacker CDC | 0.791249 |
| background information | 0.399142 |
| original authors | 0.390076 |
| opinion | 0.326535 |
| non-CDC Websites | 0.39 |
| original sources | 0.397213 |
| Vol. | 0.3194 |
| CDC Vital Signs | 0.659984 |
| news sources | 0.391432 |
|
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| 6771 |
Centers for Disease Control and Prevention |
Html |
en |
Beverage 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. |
| data | 0.501112 |
| white students | 0.607537 |
| drank other SSBs | 0.501497 |
| fruit juices | 0.626179 |
| regular sports drinks | 0.589926 |
| black students | 0.739937 |
| nationwide drank soda | 0.557254 |
| soft drink intake | 0.502701 |
| beverages | 0.62334 |
| healthful beverages | 0.504714 |
| energy drinks | 0.683412 |
| fruit juice | 0.761964 |
| male students | 0.570364 |
| adolescents | 0.526963 |
| fat-free milk | 0.488959 |
| response rate | 0.503286 |
| SSB consumption | 0.494011 |
| milk | 0.615818 |
| water | 0.545126 |
| key nutrients | 0.481148 |
| National Youth Physical | 0.540865 |
| 24-hour recall methods | 0.517128 |
| female students | 0.578372 |
| survey | 0.528493 |
|
| regular soda | 0.748468 |
| students | 0.897051 |
| fruit drinks | 0.502943 |
| U.S. adolescents | 0.485064 |
| daily consumption | 0.753409 |
| pop | 0.598836 |
| Hispanic students | 0.681247 |
| diet soda | 0.583511 |
| times | 0.559433 |
| consuming regular soda | 0.503181 |
| sugar-sweetened beverages | 0.499823 |
| coffee drinks | 0.652021 |
| sports drinks | 0.999007 |
| Nancy D. Brener | 0.527129 |
| Youth Physical Activity | 0.540858 |
| high school students | 0.892677 |
| low-calorie sports drinks | 0.530635 |
| diet energy drinks | 0.527299 |
| added sugars | 0.518183 |
| physical activity | 0.61623 |
| regular class period | 0.47955 |
| sugar drinks | 0.513375 |
| SSBs | 0.605211 |
| drank sports | 0.501555 |
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| 9700 |
Centers for Disease Control and Prevention |
Html |
es |
La historia de Marie - Historias de la vida real - Consejos de exfumadores |
La historia de Marie, exfumadora, con enfermedad de Buerger, es parte de la campaƱa Consejos de exfumadores de los CDC. |
| Archivo Apple Quicktime | 0.671802 |
| Archivo RealPlayer | 0.551213 |
| Archivo Zip Comprimido | 0.66458 |
| Nueva York | 0.821192 |
|
| Archivo Microsoft PowerPoint | 0.691396 |
| Archivo Adobe PDF | 0.657258 |
| Archivo Microsoft Excel | 0.656378 |
| Archivo Microsoft | 0.945226 |
|
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| 10130 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Global Health Security - Prevent |
null |
| endorsement | 0.282622 |
| CDC | 0.261195 |
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| responsible conduct | 0.498205 |
| infection control | 0.494301 |
| effort | 0.25287 |
| epidemic-prone diseases | 0.481205 |
| research | 0.250211 |
| Content source | 0.508551 |
| HHS | 0.289022 |
| ways | 0.250539 |
| Notice | 0.25823 |
| novel zoonotic diseases | 0.881873 |
| antimicrobial resistance | 0.591719 |
| dangerous microbes | 0.569856 |
| early detection | 0.526106 |
| animals | 0.307619 |
| surveillance | 0.255805 |
|
| drug-resistant microorganisms | 0.608341 |
| disease threats | 0.563113 |
| settings | 0.256009 |
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| livestock production | 0.518466 |
| diagnosis | 0.250271 |
| biosurveillance | 0.250122 |
| countries | 0.250479 |
| food safety | 0.509984 |
| biological materials | 0.505122 |
| marketing | 0.252275 |
| non-federal site | 0.535025 |
| zoonotic diseases | 0.951589 |
| safely monitoring | 0.515269 |
| effective programs | 0.48883 |
| facilities | 0.249061 |
| employees | 0.248225 |
| antibiotics | 0.275006 |
| humans | 0.262839 |
|
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| 10712 |
Centers for Disease Control and Prevention |
Html |
en |
Short and Extended Messages'Tularemia'First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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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| 10959 |
Centers for Disease Control and Prevention |
Html |
en |
Decoding MERS Coronavirus: AMD provides quick answers |
To decode the 2014 Middle East Respiratory Syndrome (MERS-CoV), CDC used advanced molecular detection (AMD) methods. |
| CDC | 0.784477 |
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| serum specimen | 0.444247 |
| AMD | 0.540147 |
| stronger safeguards | 0.409148 |
| case | 0.269333 |
| infectious disease outbreaks | 0.594276 |
| Indiana State Department | 0.575975 |
| additional sputum | 0.402224 |
| mucus | 0.256356 |
| timeliness | 0.245394 |
| person | 0.255206 |
| East Respiratory Syndrome | 0.954251 |
| positive result | 0.420351 |
| Action | 0.235846 |
|
| United States | 0.596467 |
| AMD methods | 0.477474 |
| Advanced Molecular Detection | 0.562293 |
| scientific community | 0.387478 |
| significant changes | 0.38065 |
| bioinformatics capabilities | 0.424276 |
| parallel work | 0.377288 |
| Saudi Arabia | 0.626885 |
| Major changes | 0.391272 |
| complete virus genome | 0.62684 |
| patient | 0.269213 |
| genetic sequencing methods | 0.648119 |
| Middle East Respiratory | 0.954449 |
| cases | 0.233042 |
| infectious disease outbreak | 0.621648 |
| unknown agents | 0.386162 |
| positive laboratory result | 0.592779 |
| GenBank | 0.242779 |
| AMD funding | 0.527522 |
| significant leap | 0.43059 |
| infectious disease | 0.623945 |
| AMD program | 0.53947 |
| responses | 0.235918 |
| MERS-CoV sequences | 0.382228 |
|
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| 11976 |
Centers for Disease Control and Prevention |
Html |
en |
Cervical Cancer is Preventable infographic |
CDC Vital Signs - Cervical Cancer is Preventable |
| health history | 0.288998 |
| Pap test | 0.93461 |
| abnormal cells | 0.333226 |
| HPV test | 0.513885 |
| screening results | 0.316215 |
| HPV virus | 0.432974 |
| normal cervical cells | 0.89141 |
| HPV vaccine | 0.433252 |
| cervical cancer | 0.788638 |
| precancers | 0.23849 |
|
| HPV | 0.737185 |
| line chart | 0.315553 |
| different screening schedule | 0.462467 |
| best protection | 0.299057 |
| human papillomavirus | 0.350944 |
| frequent screening | 0.321372 |
| cervical cancer death | 0.533086 |
| Girls ages | 0.285641 |
| boys ages | 0.285374 |
| HPV infections | 0.50185 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Health Observances - Women's Health - CDC |
CDC Women's health information, tips, and research from the Centers for Disease Control and Prevention. |
| holidays | 0.446892 |
| special times | 0.699729 |
| links | 0.445751 |
| healthy lifestyle | 0.791842 |
|
| list | 0.447652 |
| family | 0.441862 |
| community | 0.441375 |
| national health observances | 0.99755 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Final Cumulative Maps & Data for 1999-2014 | West Nile Virus | CDC |
Information on West Nile Virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| North Carolina | 0.87528 |
| Vermont | 0.57611 |
| Puerto Rico | 0.938142 |
| Indiana | 0.583067 |
| Maine | 0.581301 |
| Tennessee | 0.577166 |
| Dist. | 0.586532 |
| Alabama | 0.593276 |
| Arkansas | 0.592172 |
| South Carolina | 0.867726 |
| Utah | 0.576461 |
| Washington | 0.575407 |
| Nebraska | 0.578494 |
| West Virginia | 0.908651 |
| Colorado | 0.591438 |
| Massachusetts | 0.580597 |
| Missouri | 0.579194 |
| Alaska | 0.592908 |
| North Dakota | 0.874321 |
| Arizona | 0.59254 |
| Nevada | 0.578144 |
| Rhode Island | 0.938849 |
| New York | 0.879197 |
|
| Montana | 0.578844 |
| Kentucky | 0.582007 |
| South Dakota | 0.866775 |
| Hawaii | 0.584131 |
| Minnesota | 0.579895 |
| California | 0.591805 |
| Kansas | 0.58236 |
| Delaware | 0.590705 |
| Florida | 0.589955 |
| New Jersey | 0.881132 |
| Michigan | 0.580246 |
| Iowa | 0.582713 |
| Mississippi | 0.579544 |
| Columbia | 0.586514 |
| New Mexico | 0.890167 |
| Illinois | 0.583421 |
| Texas | 0.576814 |
| New Hampshire | 0.892145 |
| Connecticut | 0.591071 |
| Louisiana | 0.581654 |
| Ohio | 0.575656 |
| Georgia | 0.58959 |
| Maryland | 0.580949 |
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