| 1149 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: Click It or Ticket Campaign - May 19-June 1,2014 |
In 2012, approximately 21,000 passenger vehicle occupants died in motor vehicle crashes in the United States; 52% were unrestrained at the time of the crash (1). An additional estimated 2.6 million nonfatal injuries from motor vehicle crashes were treated in emergency departments (2). |
| United States | 0.45589 |
| U.S. Government Printing | 0.385511 |
| original MMWR paper | 0.372776 |
| Human Services | 0.37004 |
| motor vehicle crash | 0.411098 |
| MMWR HTML versions | 0.378141 |
| U.S. Department | 0.363402 |
| MMWR readers | 0.259572 |
| character translation | 0.247991 |
| effective ways | 0.269782 |
| campaign activities | 0.404683 |
| Law enforcement agencies | 0.402402 |
| high-visibility enforcement | 0.274127 |
| electronic PDF version | 0.367569 |
| additional lives | 0.281451 |
| national campaign | 0.266358 |
| Traffic Safety Administration | 0.403453 |
| U.S. residents | 0.287307 |
| format errors | 0.248503 |
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| Ticket campaign activities | 0.390619 |
| passenger vehicle occupants | 0.454838 |
| Additional information | 0.369963 |
| Contact GPO | 0.280618 |
| seat belt laws | 0.807134 |
| typeset documents | 0.255261 |
| trade names | 0.255749 |
| commercial sources | 0.255637 |
| official text | 0.246173 |
| emergency departments | 0.273834 |
| current prices | 0.249543 |
| seat belt | 0.948832 |
| non-CDC sites | 0.252987 |
| original paper copy | 0.374736 |
| nonfatal injuries | 0.296785 |
| motor vehicle crashes | 0.693098 |
| electronic conversions | 0.24473 |
| printable versions | 0.240842 |
| seat belts | 0.693713 |
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| 6011 |
Centers for Disease Control and Prevention |
Html |
en |
Dicyclopentadiene - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 8323 |
Centers for Disease Control and Prevention |
Html |
en |
Suicide - Violence Prevention - Injury | CDC - Definitions |
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| usefulness | 0.341451 |
| violence surveillance data | 0.673762 |
| print Self-directed Violence | 0.707714 |
| researchers | 0.321888 |
| Recommended Data Elements | 0.706729 |
| prevention programs | 0.421285 |
| Uniform Definitions | 0.581028 |
| individuals | 0.325319 |
| self-directed violence surveillance | 0.992997 |
| literature | 0.323122 |
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| download | 0.321705 |
| high-risk groups | 0.446153 |
| problem | 0.321704 |
| information self-directed violence | 0.70453 |
| scope | 0.329305 |
| suicide prevention | 0.44823 |
| organizations | 0.325268 |
| large body | 0.437336 |
| ability | 0.361561 |
| Consistent data | 0.433177 |
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| 8695 |
Centers for Disease Control and Prevention |
Html |
en |
Feature Quiz: Thalassemia - Alt Text Version - NCBDDD |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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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 |
| additional lab results | 0.403854 |
| CDC laboratory tests | 0.443377 |
| CDC | 0.506394 |
| Senior Services | 0.356112 |
| 4-6 cases | 0.353449 |
| Cronobacter infection | 0.513695 |
| young infant | 0.40297 |
| following results | 0.354065 |
| powdered infant formula | 0.788187 |
| Disease Control | 0.362414 |
| state health departments | 0.493022 |
| DNA fingerprinting | 0.410195 |
| severe infection | 0.357583 |
| ongoing investigation | 0.35717 |
| additional cases | 0.354282 |
| additional laboratory testing | 0.398775 |
| test results | 0.359523 |
| infants | 0.48362 |
| infant formula | 0.978864 |
| public health officials | 0.39463 |
| opened container | 0.354886 |
| Cronobacter bacteria | 0.494641 |
| Missouri Department | 0.356682 |
| recent cases | 0.40707 |
| infant formula. | 0.414031 |
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| Illinois | 0.358229 |
| laboratory culture | 0.386758 |
| FDA | 0.39717 |
| Drug Administration | 0.362488 |
| laboratory methods. | 0.356717 |
| FDA laboratories | 0.361457 |
| Cronobacter | 0.515643 |
| manufacturing facilities | 0.357258 |
| infant formula safety | 0.496515 |
| Missouri | 0.380671 |
| recent increased awareness | 0.392583 |
| Cronobacter bacteria. | 0.365442 |
| nursery water | 0.622055 |
| Cronobacter illness | 0.40046 |
| young infants | 0.386996 |
| various types | 0.36125 |
| Cronobacter infections | 0.371489 |
| 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 |
| severe bacterial sepsis | 0.392458 |
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| 9555 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Measles Outbreak Associated with aTraveler Returning from India - North Carolina, April-May2013 |
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. |
| North Carolina | 0.718888 |
| mmwrq@cdc.gov. | 0.42727 |
| unvaccinated member | 0.421975 |
| Vaccine Preventable Disease | 0.524125 |
| Human Services | 0.477951 |
| assistive technology | 0.42298 |
| measles immunity | 0.629893 |
| MMWR HTML versions | 0.487005 |
| U.S. Department | 0.475751 |
| unvaccinated religious community | 0.517721 |
| electronic PDF version | 0.488535 |
| similar symptoms | 0.41445 |
| measles virus | 0.618098 |
| measles infections | 0.674435 |
| Contact GPO | 0.415159 |
| public health officials | 0.564563 |
| rural North Carolina | 0.521311 |
| Wisconsin State Laboratory | 0.516052 |
| postexposure prophylaxis | 0.419429 |
| Zack S. Moore | 0.48089 |
| public health response | 0.527534 |
| original paper copy | 0.481516 |
| exposed persons | 0.415334 |
| household contacts | 0.41743 |
|
| public health agencies | 0.692552 |
| unvaccinated members | 0.429677 |
| measles infection | 0.628911 |
| 3-month visit | 0.414725 |
| commonly identified measles | 0.737677 |
| United States | 0.624955 |
| State Laboratory | 0.516702 |
| original MMWR paper | 0.494466 |
| U.S. Government Printing | 0.489268 |
| susceptible contacts | 0.414646 |
| Aaron T. Fleischauer | 0.664232 |
| North Carolina Div | 0.501412 |
| measles vaccine | 0.860422 |
| local health departments | 0.521863 |
| public health | 0.90286 |
| cases | 0.423781 |
| Career Epidemiology Field | 0.484452 |
| subject line | 0.423117 |
| Genotype D8 | 0.435935 |
| local public health | 0.689852 |
| unknown vaccination status | 0.49899 |
| oral quarantine orders | 0.505395 |
| quarantine measures | 0.415836 |
| future travel-associated outbreaks | 0.489624 |
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| 11062 |
Centers for Disease Control and Prevention |
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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 |
| regression analyses | 0.364493 |
| trained research assistant | 0.373911 |
| health insurance | 0.374147 |
| observation period | 0.367608 |
| emergency department visits | 0.469983 |
| health care provider | 0.36433 |
| total TRxANSITION score | 0.369959 |
| medication adherence | 0.686872 |
| significant positive predictor | 0.378165 |
| private health insurance | 0.372913 |
| number | 0.398635 |
| medications | 0.403494 |
| negative value | 0.356945 |
| private insurance | 0.424381 |
| individualized education plan | 0.479027 |
| physician-reported adherence rating | 0.364618 |
| physician-reported medication adherence | 0.480958 |
| health care services | 0.423212 |
| adult-focused health care | 0.366941 |
| emergency department | 0.526156 |
| insurance status | 0.43581 |
| public health insurance | 0.360549 |
|
| disease self-management subscale | 0.360264 |
| IEP | 0.389011 |
| young adults | 0.430825 |
| positive value | 0.358506 |
| health care utilization | 0.989675 |
| study | 0.40941 |
| chronic kidney disease | 0.409228 |
| TRxANSITION scale | 0.381246 |
| readiness | 0.392364 |
| chronic health conditions | 0.356577 |
| pediatric patients | 0.356717 |
| Health Insurance Portability | 0.364679 |
| emergency health care | 0.360763 |
| care] providers. | 0.364402 |
| health care transition | 0.3938 |
| 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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| 14184 |
Centers for Disease Control and Prevention |
Html |
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Adding Physical Activity to Your Life | Physical Activity | DNPAO |
There are a lot of ways to get the physical activity you need! Learn more... |
| print-friendly brochure | 0.774559 |
| video page | 0.646225 |
| chronic health condition | 0.904506 |
| muscle strengthening exercises | 0.918098 |
| moderate effort | 0.802669 |
| aerobic activity | 0.74209 |
| specific examples | 0.644882 |
| people | 0.292861 |
| physical activity | 0.618969 |
| abilities | 0.313341 |
| symptoms | 0.289795 |
|
| doctor | 0.289424 |
| amounts | 0.327076 |
| arthritis | 0.315392 |
| Success Stories | 0.676567 |
| variety | 0.306001 |
| heart disease | 0.690407 |
| vigorous-intensity | 0.297866 |
| guidelines | 0.416277 |
| gym | 0.30832 |
| time | 0.297424 |
| physical activities | 0.678557 |
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| 14231 |
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. |
| group-level participants | 0.884145 |
| Convey NHSN data | 0.881715 |
| analysis options | 0.701285 |
| formats | 0.536984 |
| submission requirements | 0.701973 |
| high quality | 0.691705 |
| 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 |
| learning opportunities | 0.726173 |
| partners | 0.5934 |
| variety | 0.537045 |
| patient | 0.563984 |
| collaboration | 0.536621 |
| 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 |
| prescription opioids | 0.976919 |
| non-cancer pain | 0.304681 |
| primary care | 0.282188 |
| public health professionals | 0.251891 |
| health care providers | 0.497777 |
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