| 4553 |
Centers for Disease Control and Prevention |
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Rapid Diagnostic Testing for Influenza: Information for Clinical Laboratory Directors |
Influenza rapid diagnostic tests RIDTs for clinical laboratory directors and laboratory workers - CDC |
| influenza | 0.991226 |
| positive predictive value | 0.504672 |
| influenza assays | 0.660046 |
| RIDT result | 0.501281 |
| patient population | 0.609377 |
| detectable influenza viruses | 0.738787 |
| false-negative test results | 0.525215 |
| disease prevalence | 0.521219 |
| approved clinical specimens | 0.542441 |
| nasal swabs | 0.530346 |
| Drug Administration | 0.505438 |
| Cobas Influenza A/B | 0.687468 |
| transcription polymerase chain | 0.579494 |
| clinical characteristics | 0.502554 |
| seasonal influenza viruses | 0.696807 |
| FDA-approved test systems | 0.501238 |
| respiratory tract specimens | 0.572744 |
| influenza virus infection | 0.766957 |
| rapid test kits | 0.509706 |
| false-positive test results | 0.527793 |
| influenza test results | 0.798891 |
| U.S. Food | 0.50547 |
| negative results | 0.504815 |
| molecular assay | 0.501681 |
|
| Influenza Diagnostic Table | 0.759068 |
| important clinical decision | 0.58611 |
| polymerase chain reaction | 0.581366 |
| public health | 0.496759 |
| respiratory specimens | 0.619343 |
| negative predictive values | 0.58642 |
| influenza season | 0.762573 |
| convalescent serum specimens | 0.526331 |
| influenza activity | 0.80299 |
| influenza virus strains | 0.713136 |
| acute respiratory disease | 0.51271 |
| package insert | 0.550762 |
| influenza diagnostic assays | 0.699347 |
| acute respiratory illnesses | 0.510032 |
| influenza viruses | 0.799617 |
| influenza viral antigens | 0.761822 |
| influenza prevalence | 0.812276 |
| influenza virus | 0.773618 |
| rapid influenza | 0.774028 |
| Influenza A&B | 0.650005 |
| specific specimen types | 0.504653 |
| seasonal influenza serology | 0.696137 |
| influenza diagnostic tests | 0.821652 |
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| 6952 |
Centers for Disease Control and Prevention |
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Medscape CME Activity - CDC - Preventing Chronic Disease:Volume 9, 2012: 11_0204 |
Binge drinking (men, ?5 drinks, women, ?4 on an occasion) accounts for more than half of the 79,000 annual deaths due to excessive alcohol use in the United States. The frequency of binge drinking is associated with poor health-related quality of life (HRQOL), but the association between binge drinking intensity and HRQOL is unknown. Our objective was to examine this association. |
| frequent binge drinking | 0.396416 |
| binge drinking episode | 0.368267 |
| Dafna Kanny | 0.2477 |
| underage drinking | 0.25396 |
| study | 0.246895 |
| medical education | 0.271758 |
| AMA PRA Category | 0.257914 |
| mental health | 0.268207 |
| binge drinkers | 0.753004 |
| drinks | 0.329111 |
| Catherine A. Okoro | 0.285048 |
| relevant financial relationships | 0.283457 |
| poor HRQOL | 0.269491 |
| Risk Factor Surveillance | 0.375456 |
| AMA PRA | 0.266542 |
| binge drinking | 0.950904 |
| alcohol consumption | 0.279545 |
| highest-intensity binge drinkers | 0.399553 |
| median intensity | 0.249141 |
| female binge drinkers | 0.611679 |
| Disease Control | 0.312827 |
| lowest-intensity binge drinkers | 0.35717 |
|
| marital status | 0.275036 |
| excessive drinking | 0.254572 |
| Machell Town | 0.247627 |
| 50 states | 0.285388 |
| United States | 0.292688 |
| adult binge drinkers | 0.435922 |
| multivariate linear regression | 0.287388 |
| median largest number | 0.263764 |
| mean number | 0.358141 |
| Lina S. Balluz | 0.286588 |
| Xiao-Jun Wen | 0.24751 |
| binge drinking episodes | 0.372179 |
| noninstitutionalized adult binge | 0.321202 |
| binge drinking intensity | 0.646653 |
| binge threshold | 0.306107 |
| male binge drinkers | 0.563526 |
| health-related quality | 0.273227 |
| high school diploma | 0.249079 |
| HRQOL | 0.276459 |
| linear regression models | 0.287224 |
| largest number | 0.275054 |
| Behavioral Risk Factor | 0.377001 |
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| 6992 |
Centers for Disease Control and Prevention |
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Multiple Outbreaks of Hepatitis B Virus Infection Related to Assisted Monitoring of Blood Glucose Among Residents of Assisted Living Facilities - Virginia, 2009-2011 |
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. |
| infection control oversight | 0.448622 |
| hepatitis B virus | 0.307027 |
| chronic cases | 0.312396 |
| acute cases | 0.370925 |
| acute HBV | 0.959585 |
| infection control requirements | 0.308447 |
| ALF staff members | 0.363106 |
| chronic infection cases | 0.365878 |
| infection control education | 0.3117 |
| acute hepatitis | 0.359703 |
| HBV transmission | 0.390435 |
| Initial acute hepatitis | 0.307404 |
| additional acute cases | 0.355051 |
| routine viral hepatitis | 0.313881 |
| chronic HBV infection | 0.480637 |
| HBV clusters | 0.357699 |
| acute infection | 0.40256 |
| chronic infection | 0.491765 |
| acute HBV infections | 0.83165 |
| residents | 0.453662 |
| infection control breaks | 0.310919 |
| initial acute HBV | 0.480662 |
| attack rates | 0.331062 |
| blood glucose | 0.426355 |
| HBV genome | 0.353713 |
|
| ALFs | 0.307019 |
| infection prevention practices | 0.325915 |
| infection control | 0.538644 |
| acute HBV infection | 0.849905 |
| staff member HBV | 0.383411 |
| HBV vaccination | 0.458261 |
| facility C. HBV | 0.394877 |
| HBV molecular sequencing | 0.383479 |
| additional acute HBV | 0.615368 |
| infection control practices | 0.448334 |
| HBV outbreaks | 0.360375 |
| viral hepatitis surveillance | 0.352982 |
| viral hepatitis | 0.357954 |
| early acute infection | 0.341412 |
| staff members | 0.638377 |
| potential acute hepatitis | 0.313153 |
| ALF residents | 0.304251 |
| AMBG | 0.442927 |
| acute HBV cases | 0.456208 |
| HBV infection | 0.854746 |
| HBV infection reports | 0.421086 |
| chronic HBV infections | 0.463266 |
| diabetes | 0.311568 |
| HBV genomic sequencing | 0.384792 |
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| 7587 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Public Health in the Age of Health Care Reform - CDC |
Discussions of health care reform have been a major part of American public discourse in nearly every decade since President Theodore Roosevelt’s 1912 platform for re-election included a proposal for universal health insurance. Historically and currently, the health care debate has emphasized the treatment of people once they become ill. This emphasis ignores the basic fact that maintaining the health of the population is essential to our economy, our national security, and our success as a nation. |
| public health issues | 0.634749 |
| public health interventions | 0.679056 |
| health care accounts | 0.641065 |
| mental health | 0.583622 |
| local health responsibilities | 0.611097 |
| health centers | 0.584864 |
| health outcomes | 0.600513 |
| health care reform | 0.768033 |
| national public health | 0.635917 |
| state health departments | 0.613348 |
| city health departments | 0.604764 |
| health objectives | 0.582513 |
| public’s health | 0.604908 |
| health care expenditures | 0.677469 |
| national health | 0.593132 |
| infant health | 0.582253 |
| health care costs | 0.683997 |
| Affordable Care Act | 0.633349 |
| health care products | 0.630046 |
| health determinants | 0.587967 |
| population | 0.625998 |
| local health agency | 0.612574 |
| physical health | 0.59543 |
| preventive health services | 0.629055 |
| Health Management Associates | 0.607244 |
|
| expensive health care | 0.672967 |
| Worcester State University | 0.59066 |
| health care insurance | 0.642355 |
| health promotion | 0.613762 |
| expensive medical care | 0.585657 |
| poor health | 0.585684 |
| local health department | 0.614056 |
| disease prevention | 0.592771 |
| health care practice | 0.649322 |
| health care debate | 0.658572 |
| high-priority health issues | 0.610182 |
| universal health insurance | 0.632023 |
| health departments | 0.630645 |
| local health | 0.629919 |
| local health departments | 0.615025 |
| public health | 0.980044 |
| health care | 0.942784 |
| public health concerns | 0.627669 |
| publicly funded health | 0.601799 |
| Health Care Administration | 0.633721 |
| medical care | 0.62101 |
| American health care | 0.647417 |
| American public discourse | 0.588916 |
| Public Health Service | 0.629382 |
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| 8485 |
Centers for Disease Control and Prevention |
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en |
Jessica's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The story of Jessica, whose son, Aden, had asthma attacks that were triggered by exposure to secondhand smoke. Her story is featured in CDC's Tips campaign. |
| asthma attacks | 0.449195 |
| CDC’s Tips® | 0.341908 |
| TV ad | 0.334177 |
| secondhand smoke exposure | 0.906326 |
| Aden’s attacks | 0.467676 |
| young son | 0.316538 |
|
| single parent | 0.400702 |
| handball player | 0.380533 |
| mother | 0.281708 |
| bank employee | 0.365896 |
| life-threatening asthma attack | 0.653829 |
| severe asthma | 0.492984 |
|
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| 10650 |
Centers for Disease Control and Prevention |
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en |
Communicating in the First Hours'CDC |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
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| 11042 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Correlates of Walking for Transportation and Use of Public Transportation Among Adults in St Louis, Missouri, 2012 - CDC |
Attributes of the built environment can influence active transportation, including use of public transportation. However, the relationship between perceptions of the built environment and use of public transportation deserves further attention. The objectives of this study were 1) to assess the relationship between personal characteristics and public transportation use with meeting national recommendations for moderate physical activity through walking for transportation and 2) to examine associations between personal and perceived environmental factors and frequency of public transportation use. |
| public transit systems | 0.351284 |
| Metro St. Louis | 0.350369 |
| residential density | 0.339762 |
| public transportation stop | 0.36184 |
| moderate physical activity | 0.565945 |
| land use mix | 0.339472 |
| regular public transportation | 0.364896 |
| public transit | 0.376686 |
| transportation tend | 0.339994 |
| active transportation | 0.344327 |
| Phys Act Health | 0.341286 |
| physical activity guidelines | 0.383813 |
| public transportation systems | 0.361378 |
| transportation behaviors | 0.36231 |
| environmental factors | 0.430107 |
| International Physical Activity | 0.380202 |
| public transportation | 0.990982 |
| St Louis | 0.362329 |
| personal characteristics | 0.383164 |
| regular physical activity | 0.358745 |
| States Physical Activity | 0.34353 |
| high crime | 0.358541 |
| frequent public transportation | 0.365455 |
| transit service characteristics | 0.343817 |
|
| study | 0.377996 |
| environment characteristics | 0.342257 |
| transportation professionals | 0.339889 |
| high traffic speed | 0.352339 |
| Previous transportation studies | 0.352294 |
| influence public transportation | 0.37103 |
| public transportation trip | 0.362308 |
| traffic speed | 0.414278 |
| physical activity recommendations | 0.380205 |
| daily physical activity | 0.359024 |
| slower walking speeds | 0.339038 |
| Physical Activity Questionnaire | 0.378901 |
| public health | 0.344686 |
| participants | 0.350707 |
| transportation-related physical activity | 0.344649 |
| St. Louis | 0.510837 |
| Environment Walkability Scale | 0.355614 |
| personal safety | 0.339269 |
| physical activity | 0.800801 |
| public transportation service | 0.362339 |
| multinomial logistic regression | 0.352357 |
| perceptions | 0.349954 |
| public health efforts | 0.341617 |
| previous transportation research | 0.352395 |
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| 13100 |
Centers for Disease Control and Prevention |
Html |
en |
Canine Influenza (Dog Flu) Outbreak in Chicago Area |
Canine Influenza (Dog Flu) Outbreak in Chicago Area - CDC |
| date | 0.318067 |
| contagious respiratory disease | 0.499582 |
| reports | 0.321655 |
| CDC | 0.35213 |
| death | 0.319129 |
| Experts | 0.318082 |
| runny nose | 0.411344 |
| fever | 0.320034 |
| cough | 0.324293 |
| Tests | 0.319178 |
| signs | 0.357621 |
| dog-specific lineage | 0.390595 |
| pneumonia | 0.322988 |
| dogs | 0.445994 |
| case | 0.317905 |
| shelters | 0.317273 |
| dog flu | 0.998116 |
| severity | 0.323606 |
|
| viruses | 0.318653 |
| canine influenza | 0.649857 |
| testing | 0.319043 |
| Chicago area | 0.411416 |
| people | 0.339467 |
| way | 0.31802 |
| canine influenza virus | 0.53941 |
| dog flu infections | 0.534329 |
| vaccine | 0.322098 |
| horse influenza virus | 0.53895 |
| veterinarian | 0.383015 |
| greyhounds | 0.317816 |
| influenza virus | 0.594392 |
| dog flu infection | 0.559382 |
| information | 0.317681 |
| severe illness | 0.408583 |
| human infection | 0.39691 |
| humans | 0.320909 |
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| 14629 |
Centers for Disease Control and Prevention |
Html |
en |
Overview | YRBSS | Adolescent and School Health | CDC |
Overview of the Youth Risk Behavior Surveillance System (YRBSS). |
| alternative high schools | 0.500102 |
| spring semester | 0.369761 |
| social problems | 0.397025 |
| undergraduate students | 0.376189 |
| local data | 0.389349 |
| methods studies | 0.364221 |
| National College Health | 0.514643 |
| local surveys | 0.370206 |
| health risk behaviors | 0.834255 |
| unintentional injuries | 0.402765 |
| public high school | 0.514098 |
| Healthy People objectives | 0.497618 |
| Provide comparable data | 0.545085 |
| local school-based surveys | 0.522804 |
| unintended pregnancy | 0.394623 |
| health behaviors | 0.832014 |
| Monitor progress | 0.355709 |
| middle school survey | 0.507995 |
| sexual identity | 0.378142 |
| private schools | 0.361347 |
| High School Youth | 0.518142 |
| behaviors | 0.899363 |
| early adolescence | 0.403024 |
| 12th grade students | 0.789776 |
| YRBSS data | 0.392132 |
|
| tribal governments | 0.359331 |
| large urban school | 0.503106 |
| health behaviors increase | 0.748409 |
| United States | 0.543517 |
| Unhealthy dietary behaviors | 0.794611 |
| nutrition-related behaviors | 0.578101 |
| representative sample | 0.611774 |
| prevalence | 0.278044 |
| data representative | 0.431838 |
| sexually transmitted infections | 0.535914 |
| national survey | 0.376133 |
| nationally representative sample | 0.537605 |
| representative samples | 0.423127 |
| separate surveys | 0.380025 |
| priority health-related behaviors | 0.767544 |
| YRBSS | 0.420098 |
| program indicators | 0.365588 |
| high school students | 0.951531 |
| tribal government | 0.511368 |
| additional surveys | 0.369867 |
| Sexual behaviors | 0.621652 |
| physical activity | 0.35361 |
| sexual contacts | 0.377916 |
| interested states | 0.359277 |
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Centers for Disease Control and Prevention |
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Benefits to Your Practice | NDPP | Diabetes |
National Diabetes Prevention Program |
| Improvement Continuing Medical | 0.82006 |
| Patient Centered Medical | 0.790727 |
| Self-Care Support | 0.592615 |
| PCMH recognition | 0.553479 |
| electronic medical record | 0.764405 |
| change program | 0.593158 |
| American | 0.338554 |
| address regulatory requirements | 0.843329 |
| prediabetes tools | 0.571517 |
|
| patients | 0.34451 |
| M.A.P. | 0.33743 |
| Prediabetes PI CME | 0.943959 |
| diabetes prevention lifestyle | 0.934668 |
| state licensing | 0.5999 |
| board recertification requirements | 0.914189 |
| Community Resources | 0.543369 |
| B. Provide Referrals | 0.765437 |
| Performance | 0.340064 |
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