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Impact of Requiring Influenza Vaccination for Children inLicensed Child Care or Preschool Programs - Connecticut, 2012-13Influenza Season |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| child care centers | 0.403125 |
| influenza vaccination coverage | 0.550704 |
| different influenza strains | 0.458398 |
| influenza-associated hospitalization | 0.442719 |
| influenza circulation | 0.426224 |
| national vaccination level | 0.409377 |
| seasonal influenza vaccination | 0.546116 |
| New York City | 0.386049 |
| children | 0.554321 |
| Connecticut influenza vaccination | 0.535095 |
| FluView catchment area | 0.37887 |
| New Haven County | 0.436689 |
| influenza vaccine | 0.561122 |
| influenza-associated hospitalization rate | 0.395362 |
| Congregate child care | 0.380211 |
| EIP sites | 0.375968 |
| influenza hospitalizations | 0.433623 |
| annual influenza vaccination | 0.525735 |
| vaccination data | 0.394238 |
| influenza-associated hospitalization rates | 0.402428 |
| Connecticut child care | 0.384908 |
| child care attendance | 0.392968 |
| licensed child care | 0.984705 |
| influenza subtype | 0.437835 |
|
| age group | 0.374267 |
| Emerging Infections Program | 0.38617 |
| influenza transmission | 0.48178 |
| influenza vaccination rate | 0.519895 |
| recent influenza seasons | 0.456195 |
| influenza hospitalization rate | 0.466805 |
| influenza vaccination requirement | 0.559414 |
| vaccination levels | 0.414285 |
| influenza exposure | 0.430997 |
| 2012-13 influenza seasons | 0.438214 |
| child care programs | 0.417951 |
| child care program | 0.403846 |
| influenza season | 0.687072 |
| child care survey | 0.398876 |
| severe influenza-related illness | 0.385327 |
| child care settings | 0.407026 |
| influenza vaccination rates | 0.525779 |
| influenza vaccination | 0.90235 |
| preschool-aged children | 0.387268 |
| influenza complications | 0.425142 |
| EIP site | 0.385528 |
| influenza seasons | 0.481828 |
| influenza-associated hospitalizations | 0.381451 |
| high vaccination rates | 0.406244 |
|
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Centers for Disease Control and Prevention |
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Key Findings: Use of clomiphene citrate and birth defects, National Birth Defects Prevention Study, 1997-2005 |
This page has moved. Please update your bookmarks. If you are not redirected, please click here. |
| 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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Centers for Disease Control and Prevention |
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Quick Facts for Clinicians on Antiviral Treatments for 2009 H1N1 |
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| Clinical Infectious Diseases | 0.590378 |
| Apr | 0.42111 |
| rapid test | 0.505256 |
| adult oseltamivir capsules | 0.666512 |
| Harper SA | 0.502584 |
| influenza illness onset | 0.701433 |
| children | 0.453263 |
| medications | 0.42073 |
| Seasonal influenza | 0.531633 |
| treatment decisions | 0.519463 |
| institutional outbreak management | 0.594078 |
| Infectious Diseases Society | 0.592103 |
| zanamavir | 0.419854 |
| risk factors | 0.916296 |
| Additional information | 0.50412 |
| antiviral medication | 0.592882 |
| accurate testing results | 0.590933 |
| Moderately ill patients | 0.615793 |
| short supply | 0.505962 |
| benefit | 0.431232 |
| key facts | 0.520712 |
| Pharmacies | 0.420381 |
| clinical practice guidelines | 0.591902 |
| tests | 0.418426 |
| PM ET | 0.532074 |
|
| severe disease | 0.524193 |
| ample supplies | 0.510906 |
| illness onset | 0.756159 |
| earlier antiviral treatment | 0.681772 |
| United States | 0.528486 |
| false negative results | 0.591527 |
| 2009-2010 flu season | 0.640452 |
| adults | 0.438263 |
| children-diagnosis | 0.418303 |
| studies | 0.42044 |
| neuraminidase inhibitors | 0.514935 |
| misconceptions | 0.424286 |
| Clinical judgment | 0.509747 |
| syrup | 0.42001 |
| ill infants | 0.505219 |
| H1N1 | 0.46226 |
| people | 0.419388 |
| compounding | 0.419396 |
| antiviral treatment | 0.854178 |
| Outpatients | 0.427195 |
| neuraminidase inhibitor-either oseltamavir | 0.608665 |
| pediatric oseltamivir suspension | 0.662649 |
| rapid influenza | 0.532335 |
| influenza antivirals | 0.559047 |
|
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Centers for Disease Control and Prevention |
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Rosin core solder, pyrolysis products (as formaldehyde) - NIOSH Pocket Guide to Chemical Hazards |
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| 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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Centers for Disease Control and Prevention |
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Global Health - South Africa - Epidemiology and Laboratory Capacity |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| full-time training | 0.447949 |
| endorsement | 0.25526 |
| field surveys | 0.426635 |
| leaders | 0.243265 |
| Laboratory Training Program | 0.711359 |
| two-year residency training | 0.67931 |
| African public health | 0.626621 |
| classroom instruction | 0.432323 |
| program requirements | 0.450638 |
| Public Health degree | 0.649415 |
| evaluate surveillance systems | 0.640798 |
| Content source | 0.419258 |
| HHS | 0.259726 |
| School | 0.23992 |
| total | 0.237752 |
| high-level epidemiology | 0.574068 |
| Notice | 0.238241 |
| Students | 0.236409 |
| disease control | 0.421896 |
| Pretoria | 0.315347 |
| FETP | 0.240406 |
| workers | 0.235932 |
|
| public health | 0.989197 |
| SAFETP | 0.28064 |
| national health systems | 0.710032 |
| South African participants | 0.636765 |
| epidemiologic investigations | 0.443517 |
| field assignments | 0.442189 |
| prevention measures | 0.421579 |
| Master | 0.275819 |
| policy-makers | 0.257374 |
| service program operating | 0.674423 |
| Diploma | 0.239826 |
| train other health | 0.468384 |
| non-federal site | 0.446132 |
| University | 0.275778 |
| African Field Epidemiology | 0.798057 |
| provincial epidemiologists | 0.453876 |
| residents | 0.273795 |
| field epidemiology fellows | 0.696976 |
| employees | 0.235709 |
| CDC South Africa | 0.759699 |
| relevant positions | 0.419461 |
| surveillance capacity in-country | 0.746637 |
|
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| 6999 |
Centers for Disease Control and Prevention |
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Announcements: Click It or Ticket Campaign - May 21-June 3, 2012 |
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. | 0.566302 |
| Campaign activities | 0.54797 |
| endorsement | 0.462911 |
| Human Services | 0.644445 |
| assistive technology | 0.569524 |
| MMWR HTML versions | 0.655494 |
| U.S. Department | 0.640662 |
| nighttime | 0.429376 |
| NHTSA online | 0.572656 |
| Law enforcement agencies | 0.669157 |
| electronic PDF version | 0.644477 |
| e-mail | 0.453581 |
| national campaign | 0.551047 |
| Ticket campaign | 0.545595 |
| passenger vehicle occupants | 0.723411 |
| Additional information | 0.641046 |
| Contact GPO | 0.564761 |
| seat belt laws | 0.743674 |
| commercial sources | 0.540636 |
| current prices | 0.536745 |
| persons | 0.451772 |
| original paper copy | 0.651006 |
| seat belts | 0.895737 |
| United States | 0.815722 |
|
| U.S. Government Printing | 0.657336 |
| original MMWR paper | 0.650962 |
| young adult men | 0.666383 |
| motor vehicle crash | 0.945069 |
| MMWR readers | 0.546142 |
| character translation | 0.534267 |
| file | 0.42707 |
| high-visibility enforcement | 0.553735 |
| additional lives | 0.565176 |
| vehicle crash deaths | 0.725109 |
| Traffic Safety Administration | 0.671927 |
| format errors | 0.534574 |
| subject line | 0.565663 |
| Health | 0.440374 |
| typeset documents | 0.541177 |
| trade names | 0.540729 |
| official text | 0.532751 |
| emergency departments | 0.546785 |
| seat belt | 0.899132 |
| non-CDC sites | 0.53906 |
| motor vehicle crashes | 0.700651 |
| effective means | 0.545295 |
| electronic conversions | 0.531398 |
| printable versions | 0.528045 |
|
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Respirator Use Policy for Protection Against Carcinogens |
null |
| protective respirators | 0.58116 |
| respirator program administrator | 0.573617 |
| no-effect exposure | 0.487061 |
| appropriate exposure limit | 0.558355 |
| exposure limit | 0.640083 |
| respirator types | 0.475197 |
| NIOSH Respirator Decision | 0.834639 |
| carcinogen policy | 0.388731 |
| available scientific information | 0.420138 |
| NIOSH-developed RELs | 0.513307 |
| worker exposure | 0.461367 |
| lowest feasible level | 0.438647 |
| respirator selection | 0.48822 |
| NIOSH | 0.924039 |
| old policy | 0.53533 |
| ambient workplace exposures | 0.458219 |
| proven carcinogenic substances | 0.494678 |
| lowest feasible concentration | 0.460256 |
| inclusive policy | 0.356562 |
| animal health effects | 0.443942 |
| exposure | 0.834669 |
| applicable exposure | 0.457114 |
| protective respirator | 0.491853 |
| respirator recommendations | 0.480469 |
| Edward J. Fairchild | 0.465878 |
|
| quantitative REL | 0.526172 |
| quantitative RELs | 0.930863 |
| higher APFs | 0.403177 |
| permissible exposure limit | 0.596721 |
| NIOSH Recommended Exposure | 0.792166 |
| selection criterion | 0.439241 |
| Assigned Protection Factor | 0.41164 |
| current NIOSH Pocket | 0.653532 |
| engineering controls | 0.448879 |
| proper respirator program | 0.573215 |
| LFC RELs | 0.599858 |
| technologic feasibility | 0.47271 |
| carcinogens | 0.999755 |
| new policy | 0.587622 |
| policy states | 0.377851 |
| workplace exposures | 0.557508 |
| NIOSH REL | 0.70506 |
| detectable exposure levels | 0.618306 |
| generic OSHA rulemaking | 0.454581 |
| respirator options | 0.493749 |
| Workplace Airborne Concentration | 0.432991 |
| highest APF | 0.357223 |
| respirator type | 0.488195 |
| NIOSH-recommended exposure | 0.489718 |
|
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Preventing Chronic Disease | A Self-Management Intervention for African Americans With Comorbid Diabetes and Hypertension: A Pilot Randomized Controlled Trial - CDC |
The objective of this pilot 6-month randomized controlled trial was to determine the effectiveness of an intensive, community-based, group intervention that focused on diet, physical activity, and peer support for reducing weight among urban-dwelling African Americans with comorbid type 2 diabetes and hypertension. |
| comorbid diabetes | 0.744018 |
| LIFE treatment group | 0.664296 |
| behavioral skills training | 0.651816 |
| control group | 0.805333 |
| nutrition knowledge | 0.730727 |
| nutrition education | 0.713296 |
| nutrition knowledge questionnaire | 0.702808 |
| telephone calls | 0.656235 |
| diabetes self-management | 0.874017 |
| Block Food Frequency | 0.648504 |
| blood pressure | 0.769644 |
| diabetes self-management program | 0.67055 |
| control participants | 0.750782 |
| weight loss | 0.738138 |
| University Medical Center | 0.686157 |
| diabetes self-management training | 0.733044 |
| Diabetes self-management behavior | 0.697256 |
| diabetes self-management behaviors | 0.676318 |
| diabetes self-management intervention | 0.711203 |
| culturally tailored nutrition | 0.665998 |
| LIFE group | 0.804834 |
| diabetes control | 0.646108 |
| Food Frequency Questionnaire | 0.653873 |
| short-term diabetes education | 0.682328 |
|
| community health worker | 0.677552 |
| African Americans | 0.904875 |
| self-care activities measure | 0.695884 |
| diabetes self-management education | 0.75778 |
| group-based diabetes self-management | 0.699284 |
| physical activity questionnaire | 0.701998 |
| diabetes care | 0.793954 |
| diabetes patients | 0.658798 |
| African American diabetes | 0.666056 |
| clinically significant reduction | 0.669464 |
| small sample size | 0.648395 |
| HbA1c | 0.660674 |
| participants | 0.765298 |
| African American women | 0.655838 |
| problem-solving-based diabetes self-management | 0.668759 |
| LIFE intervention | 0.706561 |
| LIFE intervention group | 0.661998 |
| LIFE participants | 0.723411 |
| diabetes complications | 0.681589 |
| physical activity | 0.9686 |
| randomized controlled trial | 0.669848 |
| diabetes self-care activities | 0.779808 |
| et al | 0.674745 |
| American Diabetes Association | 0.693514 |
|
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CDC Telebriefing - 2013 National Youth Risk Behavior Survey results | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| kim painter | 0.379701 |
| Preventable risk behaviors | 0.355977 |
| local education health | 0.319661 |
| high school kids | 0.415636 |
| health risk behaviors | 0.739309 |
| operator | 0.352743 |
| Risk Behavior Survey | 0.425777 |
| llelwyn grant | 0.768319 |
| newly changed question | 0.340545 |
| TV screen time | 0.332888 |
| Youth Risk Behavior | 0.50296 |
| school property | 0.327703 |
| public health risk | 0.341483 |
| risky behaviors | 0.337652 |
| physical fighting | 0.375875 |
| school students grades | 0.374179 |
| mike estrel | 0.328487 |
| non-school related school | 0.318279 |
| Director Tom Frieden | 0.382324 |
| National Youth Risk | 0.421781 |
| youth risk behaviors. | 0.325487 |
| tom frieden | 0.821334 |
| mike stobbe | 0.337619 |
| fighting. Dr. Zaza | 0.397329 |
| fewer high school | 0.34478 |
|
| school health policies | 0.351536 |
| U.S. high school | 0.348665 |
| excessive screen time | 0.340275 |
| unhealthy dietary behaviors | 0.333847 |
| physical fighting question | 0.358124 |
| end. Dr. Zaza | 0.390283 |
| large urban school | 0.331053 |
| stephanie zaza | 0.948396 |
| touch tone phone | 0.400423 |
| Dr. Zaza | 0.723116 |
| young people | 0.349358 |
| percent | 0.439111 |
| important health risk | 0.346565 |
| public health professionals | 0.32113 |
| public health | 0.400579 |
| screen time thing. | 0.329523 |
| question | 0.525124 |
| Dr. Stephanie Zaza | 0.517891 |
| high school students | 0.956183 |
| physical fight | 0.377277 |
| david beasley | 0.370873 |
| risk health behaviors | 0.371422 |
| screen time | 0.52198 |
| Dr. Frieden | 0.493576 |
|
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How to Reduce Indoor Tanning Among Minors |
Efforts to prevent the harms caused by indoor tanning are underway at the federal, state, and local levels. |
| policy enforcement | 0.553582 |
| skin cancer | 0.557109 |
| effective prevention strategies | 0.592944 |
| local levels | 0.608395 |
| feedback loop | 0.546536 |
| broad contextual factors | 0.593829 |
| comprehensive approach | 0.588068 |
| harms | 0.526133 |
| Product marketing | 0.552942 |
| specific audiences | 0.550526 |
| indoor tanning.46 | 0.564419 |
| Evaluation results | 0.549666 |
| determinants | 0.524789 |
| long-term effects | 0.549766 |
| minors | 0.57593 |
| legislative approaches | 0.548558 |
| indoor tanning.41 | 0.565973 |
| powerful effect | 0.549631 |
| intervention planning | 0.549639 |
| individual-level influences | 0.554872 |
| mass media campaigns.51 | 0.594595 |
| parental accompaniment laws | 0.606238 |
| unsupervised indoor tanning | 0.748348 |
| apartment complexes | 0.554227 |
| state-level indoor tanning | 0.681123 |
|
| federal level— | 0.565586 |
| Overarching Goals49 | 0.552287 |
| future prevention efforts | 0.593143 |
| Action Model | 0.58525 |
| indoor tanning laws.35–40 | 0.663829 |
| comprehensive way.22 | 0.549984 |
| policies | 0.528522 |
| MPOWER model | 0.553835 |
| age restrictions | 0.60815 |
| potential model | 0.550954 |
| Healthy People | 0.620178 |
| long-term health risks | 0.594483 |
| environmental conditions | 0.550238 |
| health-related behaviors | 0.55295 |
| marketing strategies | 0.553822 |
| Emerging evidence | 0.555384 |
| parental consent laws | 0.606203 |
| indoor tanning | 0.945954 |
| multiple levels | 0.599091 |
| best practices | 0.588556 |
| individual-focused interventions | 0.561752 |
| social norms | 0.554478 |
| young people.18 | 0.557022 |
| tobacco control | 0.548413 |
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