| 4911 |
Centers for Disease Control and Prevention |
Html |
en |
Quinolones and the Clinical Laboratory - HAI |
null |
| intrinsic resistance | 0.527411 |
| VRE | 0.92387 |
| E. casseliflavus/E. | 0.611191 |
| vanD-containing isolates | 0.428537 |
| frequently isolated species | 0.420151 |
| species level aids | 0.41673 |
| esculin azide agar | 0.396024 |
| Clinical Laboratory Standards. | 0.390831 |
| lower level resistance | 0.516826 |
| E. casseliflavus/E. flavescens | 0.469339 |
| high vancomycin | 0.609791 |
| minimum inhibitory concentrations | 0.406399 |
| molecular typing systems | 0.385978 |
| patients | 0.389248 |
| vanA genes | 0.404541 |
| E. gallinarum | 0.428553 |
| PCR-based typing methods | 0.386333 |
| healthcare facilities | 0.388408 |
| vancomycin MICs | 0.658207 |
| VRE screening | 0.624743 |
| vanC intrinsic resistance | 0.496157 |
| contain vanC genes | 0.420503 |
| Vancomycin Resistance Recommendations | 0.771356 |
| E. faecalis | 0.534518 |
| molecular sub-types | 0.404945 |
|
| VRE colonization | 0.618616 |
| Clinical Laboratory Standards | 0.512357 |
| heart infusion agar | 0.392611 |
| vanA | 0.416997 |
| infection control | 0.608753 |
| E. faecium | 0.610732 |
| infection control purposes | 0.417994 |
| low-level resistance | 0.443675 |
| pigment tests | 0.415484 |
| clinical signs | 0.382433 |
| VRE colony counts | 0.692054 |
| hospital VRE rate | 0.691991 |
| pigment production tests | 0.39576 |
| antimicrobial susceptibility testing | 0.384709 |
| National Committee | 0.44319 |
| Infection control personnel | 0.414405 |
| Practices Advisory Committee | 0.395931 |
| Hospital Infection Control | 0.418198 |
| µg/ml vancomycin | 0.575132 |
| infection control measures | 0.402222 |
| vanE-containing E. faecalis | 0.444136 |
| multilocus enzyme electrophoresis | 0.381554 |
| distinct yellow pigment | 0.40313 |
| vancomycin resistance | 0.89642 |
|
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| 5624 |
Centers for Disease Control and Prevention |
Html |
en |
Chlorinated diphenyl oxide |
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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| 8394 |
Centers for Disease Control and Prevention |
Html |
en |
Fact Sheets-Minimum Legal Drinking Age - Alcohol |
Excessive alcohol use can lead to increased risk of health problems such as injuries, violence, liver diseases, and cancer.The CDC Alcohol Program works to strengthen the scientific foundation for preventing excessive alcohol use. |
| Risk Behavior Survey16 | 0.539951 |
| underage drinking | 0.973279 |
| Behavioral Health Statistics | 0.527038 |
| Drinking Fact Sheet | 0.653769 |
| motor vehicle occupants | 0.52862 |
| United States | 0.606198 |
| risky sexual behaviors | 0.532359 |
| Excessive drinking | 0.622821 |
| emergency department visits | 0.643884 |
| legal age | 0.567151 |
| School performance problems | 0.534846 |
| Alcohol dependence | 0.587741 |
| binge drinking | 0.65721 |
| alcoholic beverages | 0.539291 |
| health risk behaviors | 0.540492 |
| New York City | 0.6347 |
| drank alcohol | 0.607994 |
| future national survey | 0.531489 |
| Underage drinking cost | 0.758292 |
| Youth Risk Behavior | 0.766737 |
| minimum legal drinking | 0.794069 |
| Fewer Young Alcohol | 0.638432 |
| alcohol | 0.755344 |
| licensed alcohol retailers | 0.629385 |
|
| alcohol-impaired driving | 0.623531 |
| Fewer motor vehicle | 0.551687 |
| Community Guide review | 0.526736 |
| legal drinking age | 0.90544 |
| adverse birth outcomes | 0.534673 |
| National Academies Press | 0.526039 |
| New York State | 0.536937 |
| Drug-Related Emergency Department | 0.531104 |
| National Highway Traffic | 0.530506 |
| high school students | 0.769969 |
| National Research Council | 0.534738 |
| alcohol poisoning | 0.585439 |
| Prev Med. | 0.685829 |
| Prevent Underage Drinking | 0.69816 |
| York City Department | 0.640833 |
| Minimum Drinking Age | 0.739538 |
| alcohol sales | 0.613886 |
| Mental Health Services | 0.537822 |
| Risk Behavior Surveillance | 0.630135 |
| Stud Alcohol Drugs. | 0.62973 |
| et al | 0.585173 |
| motor vehicle crashes | 0.646871 |
| public health impact | 0.540416 |
|
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| 9480 |
Centers for Disease Control and Prevention |
Html |
es |
CAN DO Houston: un enfoque comunitario para prevenir la obesidad infantil |
null |
| acondicionamiento fÃsico | 0.501452 |
| amplia colaboración | 0.500344 |
| Magnolia Park | 0.550439 |
| Lovell Allan Jones | 0.500434 |
| piloto can do | 0.522822 |
| distrito escolar | 0.502557 |
| vecindarios sunnyside | 0.501274 |
| Museo Infantil | 0.500984 |
| CAN DO Houston | 0.993817 |
| proyecto piloto | 0.508506 |
| programa local marathon | 0.500561 |
| Houston Department | 0.502726 |
| Centro Oncológico M | 0.505918 |
| iniciativa piloto can | 0.511624 |
| Comité Asesor Comunitario | 0.50055 |
| Expert Committee Recommendations | 0.500529 |
| nutrición gracias | 0.500357 |
| Estados Unidos | 0.501613 |
| padres organizando actividades | 0.500895 |
| maestros folletos | 0.500671 |
| Baun WB | 0.500362 |
| Iniciativa Resultados | 0.500694 |
| parque organizó actividades | 0.50068 |
| reunión can do | 0.503242 |
| primaria magnolia park | 0.501759 |
|
| Distrito Escolar Independiente | 0.500615 |
| iniciativas can do | 0.513804 |
| Ciencias ClÃnicas | 0.500765 |
| Anderson Cancer Center | 0.500428 |
| conductas meta | 0.500821 |
| Salud Pública | 0.503933 |
| fitness explosion | 0.500774 |
| programa piloto | 0.500945 |
| Neighbors Defeat Obesity | 0.500569 |
| estudio piloto | 0.500464 |
| Bienestar Infantil | 0.500803 |
| programa catch | 0.500382 |
| Beverly Jean Gor | 0.500445 |
| Mayor’s Wellness Council | 0.500504 |
| Nancy Post Correa | 0.500424 |
| escuela primaria magnolia | 0.501794 |
| revista men fitness | 0.500481 |
| Houston Wellness Association | 0.505392 |
| iniciativa can do | 0.503827 |
| proyecto piloto can | 0.503787 |
| Minute Maid | 0.501534 |
| educación fÃsica | 0.522047 |
| Chronic Dis | 0.500366 |
| Consejo Asesor | 0.50647 |
|
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| 9514 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: NIOSH Course for Nurses on WorkplaceViolence |
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. |
| mmwrq@cdc.gov. | 0.794364 |
| endorsement | 0.682452 |
| labor organizations | 0.779476 |
| Human Services | 0.890373 |
| assistive technology | 0.801726 |
| nursing | 0.62889 |
| MMWR HTML versions | 0.903825 |
| U.S. Department | 0.885506 |
| academic groups | 0.779726 |
| education credits | 0.775716 |
| NIOSH website | 0.802868 |
| incorporates lesson text | 0.9212 |
| electronic PDF version | 0.889814 |
| workplace violence | 0.963245 |
| e-mail | 0.659984 |
| government agencies | 0.779077 |
| Contact GPO | 0.802527 |
| commercial sources | 0.768993 |
| nurses | 0.704662 |
| current prices | 0.761053 |
| lesson quizzes | 0.768713 |
| original paper copy | 0.885806 |
| original MMWR paper | 0.897109 |
| U.S. Government Printing | 0.888425 |
|
| Superintendent | 0.631723 |
| units | 0.628852 |
| assistance | 0.631399 |
| title | 0.62955 |
| MMWR readers | 0.774808 |
| Occupational Safety | 0.774641 |
| character translation | 0.7595 |
| file | 0.631583 |
| personal experiences | 0.777517 |
| Persons | 0.631703 |
| workplace violence incidents | 0.951089 |
| National Institute | 0.780776 |
| format errors | 0.764336 |
| health-care stakeholders | 0.796863 |
| subject line | 0.783781 |
| typeset documents | 0.771014 |
| trade names | 0.769139 |
| official text | 0.756881 |
| non-CDC sites | 0.766625 |
| free online course | 0.961871 |
| report | 0.629525 |
| information | 0.631608 |
| Accommodation | 0.629574 |
| electronic conversions | 0.758036 |
|
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| 9899 |
Centers for Disease Control and Prevention |
Html |
en |
FluVaxView: National Early Season Flu Vaccination Coverage, United States, November 2013 |
Results from the November 2013 National Influenza Flu Survey, United States for the 2013-14 influenza season - CDC |
| early season flu | 0.528015 |
| early flu season | 0.446582 |
| vaccination campaigns | 0.387238 |
| NIS data | 0.357548 |
| influenza vaccination coverage | 0.438035 |
| season flu vaccination | 0.585385 |
| Risk Factor Surveillance | 0.358955 |
| Internet Flu Survey | 0.43945 |
| Page | 0.354124 |
| final end-of-season coverage | 0.368976 |
| National Internet Flu | 0.43644 |
| children | 0.432127 |
| NIFS data | 0.359537 |
| lower flu vaccination | 0.466049 |
| flu vaccination-related data | 0.395362 |
| vaccination estimates | 0.402665 |
| National Early Season | 0.355051 |
| NIS estimates | 0.35621 |
| racial/ethnic groups | 0.374801 |
| percentage point increase | 0.362931 |
| 2013-14 flu season | 0.406422 |
| end-of-season coverage estimates | 0.375486 |
| telephone | 0.341112 |
| medically-related place | 0.361308 |
| influenza vaccination survey | 0.417193 |
|
| influenza vaccination module | 0.39272 |
| season vaccination coverage | 0.447555 |
| Behavioral Risk Factor | 0.359001 |
| flu season vaccination | 0.492835 |
| United States | 0.41547 |
| vaccination services | 0.381178 |
| adults | 0.430109 |
| flu vaccine | 0.392667 |
| flu vaccination coverage | 0.960422 |
| early season estimates | 0.429083 |
| percentage points | 0.374216 |
| flu season estimates | 0.459608 |
| adult estimates | 0.35773 |
| early season difference | 0.353731 |
| National Influenza Vaccination | 0.412209 |
| NIFS estimates | 0.356007 |
| National Immunization Survey | 0.398812 |
| flu vaccinations | 0.386908 |
| influenza vaccination | 0.456574 |
| Adult NIFS data | 0.348893 |
| end-of-season estimates | 0.370202 |
| Vaccination providers | 0.381242 |
| flu season | 0.532332 |
| NIS | 0.357803 |
|
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| 9935 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Online Newsroom - Digital Press Kit: New CDC Vital Signs - Racial Disparities in Breast Cancer Severity |
New CDC Vital Signs: Racial Disparities in Breast Cancer Severity |
| Signs | 0.217719 |
| CDC Online Newsroom | 0.954031 |
| Digital Press Kit | 0.543415 |
|
| New CDC Vital | 0.86661 |
| Breast Cancer Severity | 0.717961 |
|
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| 10136 |
Centers for Disease Control and Prevention |
Html |
en |
Mycoplasma pneumoniae: Antibiotic Treatment and Resistance for Clinicians |
Treatment options for Mycoplasma pneumoniae infections and recent evidence of antibiotic resistance to macrolides. |
| Zhang YY | 0.266424 |
| P1 adhesin gene | 0.299868 |
| Antimicrob Agents Chemother. | 0.473053 |
| macrolide-resistant strains | 0.468786 |
| Mycoplasma pneumoniae | 0.908357 |
| macrolide-sensitive strains | 0.300108 |
| Iwata S. | 0.266326 |
| Liu YM | 0.261387 |
| comparative clinical study | 0.309331 |
| Sasaki T. Characterization | 0.308192 |
| young children | 0.266518 |
| fluoroquinolone classes | 0.26842 |
| novel nucleotide sequence | 0.297787 |
| clinical implications | 0.264751 |
| Engl J Med. | 0.263771 |
| Microbiol Immunol. | 0.260838 |
| adolescent patients | 0.266646 |
| macrolide drugs | 0.342631 |
| Clin Infect Dis. | 0.32848 |
| minimum inhibitory concentration | 0.317124 |
| Antimicrob Chemother. | 0.26454 |
| older children | 0.263692 |
| M. pneumoniae | 0.616566 |
| Infect Chemother. | 0.266758 |
| Mycoplasma pneumoniae macrolide | 0.599469 |
|
| pneumoniae clinical strains | 0.469787 |
| Mycoplasma pneumoniae infections | 0.512954 |
| United States | 0.36898 |
| Current data | 0.261727 |
| macrolide resistance | 0.588497 |
| pediatric patients | 0.308183 |
| Clinical evaluation | 0.261412 |
| Zhang JZ | 0.265693 |
| S. Macrolide-resistant Mycoplasma | 0.374884 |
| persistent cough | 0.261776 |
| respiratory tract infection | 0.306663 |
| M. pneumoniae infections | 0.459719 |
| resistance rates | 0.28724 |
| community-acquired pneumonia | 0.268718 |
| macrolide-resistant mycoplasma pneumoniae | 0.768495 |
| Mycoplasma pneumoniae strains | 0.535566 |
| Clin Microbiol. | 0.329183 |
| Yin YD | 0.262921 |
| beta-lactam antibiotics | 0.290258 |
| et al | 0.39318 |
| Esposito S. Clinical | 0.320849 |
| Zhao CJ | 0.2658 |
| Taylor TH Jr | 0.308121 |
| cell wall | 0.268532 |
|
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| 13036 |
Centers for Disease Control and Prevention |
Image |
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Secondhand Smoke Effects (970W x 451H) |
null |
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CLICK HERE |
| 13105 |
Centers for Disease Control and Prevention |
Html |
en |
Breast Cancer In Young Women |
Although breast cancer mostly occurs among older women, in rare cases breast cancer does affect women under the age of 45. About 11% of all new cases of breast cancer in the United States are found in women younger than 45 years of age. |
| young women | 0.369119 |
| United States | 0.462865 |
| breast rebuilt | 0.439518 |
| fertility | 0.316435 |
| life | 0.318015 |
| common cancer | 0.377737 |
| things | 0.315331 |
| important first step | 0.372519 |
| unique issues | 0.376092 |
| chance | 0.315835 |
| shape | 0.316001 |
| breast cancer | 0.926408 |
| isolation | 0.317195 |
|
| older women | 0.372101 |
| concerns | 0.315849 |
| symptoms | 0.315529 |
| doctor | 0.31541 |
| entire breast | 0.438903 |
| risk | 0.345589 |
| body image | 0.375866 |
| rare cases | 0.376489 |
| new cases | 0.375126 |
| finances | 0.317604 |
| feelings | 0.317546 |
| later stage | 0.381697 |
|
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