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Centers for Disease Control and Prevention |
Html |
en |
Dicyclopentadiene - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
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| 6966 |
Centers for Disease Control and Prevention |
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CDC recognizes obesity prevention and control initiatives with Pioneering Innovation awards May 9, 2012 - CDC Online Newsroom - Press Release |
CDC recognizes obesity prevention and control initiatives with Pioneering Innovation awards |
| high-risk racial/ethnic communities | 0.630353 |
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| 7476 |
Centers for Disease Control and Prevention |
Html |
en |
National Center for Environmental Health Employment |
Data Resources for the National Center for Environmental Health |
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| Web site | 0.453389 |
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| 9191 |
Centers for Disease Control and Prevention |
Html |
en |
FDA and CDC Update: Investigation of Cronobacter bacteria illness in infants - Media Statement: December 30, 2011 |
FDA and CDC Update: Investigation of Cronobacter bacteria illness in infants |
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| Illinois | 0.358229 |
| laboratory culture | 0.386758 |
| FDA | 0.39717 |
| Drug Administration | 0.362488 |
| laboratory methods. | 0.356717 |
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| Cronobacter | 0.515643 |
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| Missouri | 0.380671 |
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| various types | 0.36125 |
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| environmental samples | 0.353045 |
| soapy water | 0.355773 |
| ill infants | 0.390444 |
| fresh formula | 0.397697 |
| clinical samples | 0.35986 |
| additional DNA fingerprinting | 0.394458 |
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| 11062 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Socioecologic Factors as Predictors of Readiness for Self-Management and Transition, Medication Adherence, and Health Care Utilization Among Adolescents and Young Adults With Chronic Kidney Disease - CDC |
The objective of our study was to determine the socioecologic factors that predict readiness for self-management and transition from pediatric to adult health care services, adherence to taking medications, and health care utilization among adolescents and young adults with chronic kidney disease. |
| North Carolina | 0.429033 |
| UNC TRxANSITION scale | 0.367972 |
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| health care provider | 0.36433 |
| total TRxANSITION score | 0.369959 |
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| number | 0.398635 |
| medications | 0.403494 |
| negative value | 0.356945 |
| private insurance | 0.424381 |
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| physician-reported adherence rating | 0.364618 |
| physician-reported medication adherence | 0.480958 |
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| emergency department | 0.526156 |
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| public health insurance | 0.360549 |
|
| disease self-management subscale | 0.360264 |
| IEP | 0.389011 |
| young adults | 0.430825 |
| positive value | 0.358506 |
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| chronic kidney disease | 0.409228 |
| TRxANSITION scale | 0.381246 |
| readiness | 0.392364 |
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| pediatric patients | 0.356717 |
| Health Insurance Portability | 0.364679 |
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| care] providers. | 0.364402 |
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| participants | 0.4721 |
| pharmacy refill records | 0.370516 |
| disease self-management | 0.382131 |
| UNC Kidney Center | 0.365306 |
| self-management | 0.419516 |
| 504 plan had significantly more emergency | 0.38131 |
| Chapel Hill | 0.356506 |
| socioecologic factors | 0.626082 |
| public insurance | 0.468727 |
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| 14135 |
Centers for Disease Control and Prevention |
Html |
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Zika virus in the United States |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
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| 14184 |
Centers for Disease Control and Prevention |
Html |
en |
Adding Physical Activity to Your Life | Physical Activity | DNPAO |
There are a lot of ways to get the physical activity you need! Learn more... |
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| people | 0.292861 |
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| abilities | 0.313341 |
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| Success Stories | 0.676567 |
| variety | 0.306001 |
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| vigorous-intensity | 0.297866 |
| guidelines | 0.416277 |
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| physical activities | 0.678557 |
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Centers for Disease Control and Prevention |
Html |
en |
Training | NHSN |
CDC’s National Healthcare Safety Network is the nation’s most widely used healthcare-associated infection tracking system. |
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| NHSN reporting application | 0.846235 |
| collection methods | 0.702488 |
| skills | 0.536802 |
| data quality | 0.672442 |
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| adverse event monitoring | 0.857759 |
| actionable data | 0.721827 |
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| partners | 0.5934 |
| variety | 0.537045 |
| patient | 0.563984 |
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| surveillance | 0.543188 |
| healthcare personnel safety | 0.993991 |
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| 16095 |
Centers for Disease Control and Prevention |
Html |
en |
Prescribing Data |
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| opioid pain relievers | 0.877434 |
| opioid prescriptions | 0.371721 |
| chronic pain | 0.497219 |
| opioid prescription prescriptions | 0.530773 |
| United States | 0.222699 |
| prescription opioid overdose | 0.732303 |
| Tool Interactive mapping | 0.23285 |
| mapping tool | 0.218556 |
| pain management | 0.279309 |
| primary care settings | 0.268146 |
| Wide-ranging Online Data | 0.245142 |
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| primary care providers | 0.278643 |
| Opioid Drug Mapping | 0.418122 |
| StatisticsThis web site | 0.23512 |
| highest risk | 0.267011 |
| opioid prescribing | 0.407303 |
| pain medicine | 0.301236 |
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| 16472 |
Centers for Disease Control and Prevention |
Html |
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Place of Flu Vaccination 2013-14 | FluVaxView |
2013-14 NIS-Flu Data - CDC |
| U.S territories | 0.58498 |
| Percentages | 0.368995 |
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| United States | 0.568048 |
| Additional information | 0.556355 |
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| type | 0.401475 |
| influenza vaccination | 0.914968 |
| non-medical place | 0.549233 |
|
| medical place | 0.527405 |
| denominator | 0.3762 |
| Influenza Vaccination Coverage | 0.866711 |
| relative standard error | 0.74068 |
| Surveillance | 0.355075 |
| children | 0.391993 |
| place | 0.589542 |
| Influenza Seasons | 0.639232 |
| sample size | 0.546766 |
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