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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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| 5063 |
Centers for Disease Control and Prevention |
Html |
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Down Syndrome Cases at Birth Increased | CDC Features |
Down Syndrome Cases at Birth Increased. The total number of cases at birth in the US increased by 24.2% from 1979-1983 to 1999-2003 in 10 regions. |
| Pediatrics | 0.426335 |
| younger mothers | 0.527813 |
| regions | 0.54621 |
| Hispanic individuals | 0.509903 |
| United States | 0.738436 |
| lowest prevalence | 0.64395 |
| age group | 0.642483 |
| highest prevalence | 0.633857 |
| 16-19 year olds | 0.537088 |
| percent | 0.43068 |
| Arkansas | 0.428966 |
| Utah | 0.42891 |
| DS | 0.790812 |
| prevalence | 0.917744 |
| 0-3 year olds | 0.538221 |
| times | 0.427214 |
| children | 0.514388 |
| syndrome | 0.457531 |
| birth prevalence | 0.663634 |
| olds | 0.541276 |
|
| total number | 0.535789 |
| race/ethnic groups | 0.525216 |
| female children | 0.505338 |
| cases | 0.429551 |
| disease | 0.429527 |
| infants | 0.427257 |
| adolescents | 0.533122 |
| Non-Hispanic white individuals | 0.637702 |
| Non-Hispanic black individuals | 0.640235 |
| Ages | 0.503689 |
| specific time | 0.543129 |
| major congenital heart | 0.810195 |
| population | 0.427187 |
| older mothers | 0.526429 |
| live births | 0.54773 |
| Congenital Heart Defects | 0.59783 |
| major CHDs | 0.533906 |
| Data Source | 0.519173 |
| Infant Gender | 0.511824 |
|
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| 6999 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 7263 |
Centers for Disease Control and Prevention |
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Lexicon, Definitions, and Conceptual Framework for PublicHealth Surveillance |
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. |
| data | 0.401547 |
| public health interventions | 0.278487 |
| specific health events | 0.272801 |
| Risk Factor Surveillance | 0.278074 |
| health information | 0.328757 |
| health surveillance activities | 0.351545 |
| health policy information | 0.261439 |
| public health decision | 0.272588 |
| sentinel surveillance systems | 0.282359 |
| public health inquiry | 0.272945 |
| public health surveillance | 0.994115 |
| surveillance program | 0.271442 |
| disease surveillance | 0.288227 |
| health events | 0.275718 |
| public health decisions | 0.265998 |
| data sources | 0.282958 |
| surveillance data | 0.313745 |
| population health assessment | 0.299727 |
| traditional public health | 0.271075 |
| public health practice | 0.324145 |
| Surveillance Consultation | 0.283541 |
| health surveillance systems | 0.359259 |
| effective public health | 0.268408 |
| chronic disease surveillance | 0.288111 |
| health surveillance concepts | 0.317292 |
|
| public health threat | 0.274805 |
| valuable surveillance data | 0.295355 |
| public heath surveillance | 0.301138 |
| public health community | 0.292284 |
| specific public health | 0.268793 |
| 21st century | 0.265716 |
| surveillance systems | 0.38019 |
| complex health events | 0.263812 |
| public health knowledge | 0.275288 |
| public health program | 0.296523 |
| surveillance purposes | 0.272498 |
| health information needs | 0.269297 |
| public health concerns | 0.27261 |
| health data | 0.286029 |
| Notifiable Diseases Surveillance | 0.28594 |
| appropriate health information | 0.265551 |
| public health programs | 0.342195 |
| national surveillance systems | 0.282333 |
| sentinel surveillance | 0.283393 |
| electronic health records | 0.266348 |
| data collection | 0.390501 |
| Electronic Disease Surveillance | 0.2857 |
| public health problem | 0.290543 |
| data collection activities | 0.262182 |
|
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Emergency Preparedness - Publications by Topic - Public Health Law |
null |
| caregiver preparedness | 0.465306 |
| public health practitioners | 0.511397 |
| health officials | 0.544715 |
| emergency declarations | 0.484926 |
| Radiological Emergency Preparedness | 0.514398 |
| Court House Preparedness | 0.48456 |
| mid-tier public health | 0.506223 |
| Healthcare Emergency Preparedness | 0.500697 |
| legal issues | 0.480492 |
| public health emergencies | 0.582627 |
| Emergency Preparedness Law | 0.517169 |
| health emergency response | 0.488935 |
| public health officials | 0.542446 |
| legal preparedness | 0.586112 |
| public health investigations | 0.487215 |
| emergency preparedness practice | 0.514191 |
| emergency preparedness | 0.578454 |
| City Health Officials | 0.519387 |
| health emergency training | 0.486657 |
| Emergency Preparedness Training | 0.504881 |
| Hospital Legal Preparedness | 0.528724 |
| public health workforce | 0.489794 |
| all-hazards preparedness | 0.466066 |
| Center Environmental Health | 0.46569 |
| Educational Facilities Preparedness | 0.49004 |
|
| radiation legal preparedness | 0.505315 |
| Health Emergency Law | 0.53143 |
| Zika Preparedness | 0.46486 |
| Emergency Preparedness Web | 0.499144 |
| public health professionals | 0.504269 |
| public health emergency | 0.607144 |
| health legal preparedness | 0.524519 |
| law enforcement | 0.472029 |
| public health | 0.904754 |
| public health law | 0.727248 |
| Public Health Association | 0.492042 |
| Health Law Program | 0.594603 |
| competency-based preparedness | 0.46806 |
| Territorial Health Officials | 0.490196 |
| Health Lawyers Association | 0.481152 |
| Disaster Preparedness | 0.465189 |
| public health workers | 0.491279 |
| local public health | 0.507463 |
| Public Health Preparedness | 0.605659 |
| health law bench | 0.493746 |
| tribal emergency preparedness | 0.514736 |
| public health problem | 0.48495 |
| American Health Lawyers | 0.477769 |
| federal public health | 0.5028 |
|
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CDC Newsroom Image Library Leaders and Scientists | CDC Media Relations |
Free public health images, medical images, high-resolution, public domain images. |
| scientist Scott Smith | 0.201633 |
| Centers | 0.233275 |
| James Gathany | 0.547169 |
| Description | 0.206695 |
| Prevention | 0.221042 |
| PHIL ID number | 0.209681 |
| CDC scientist Thomas | 0.233029 |
|
| Disease Control | 0.740275 |
| CDC scientist Zach | 0.22919 |
| PHIL ID | 0.695039 |
| CDC scientist | 0.320894 |
| Photo Credit | 0.593835 |
| CDC scientist Scott | 0.231836 |
| scientist Thomas Stevens | 0.200709 |
|
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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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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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Vital Signs: Disparities in Tobacco-Related Cancer Incidenceand Mortality - United States, 2004-2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| tobacco-related cancers | 0.841514 |
| tobacco-related health care | 0.534832 |
| Human Services | 0.495294 |
| invasive cancer sites | 0.507909 |
| lung cancer | 0.5748 |
| U.S. population.* Cancer | 0.497858 |
| National Comprehensive Cancer | 0.493473 |
| tobacco-related cancer incidence | 0.75582 |
| States Cancer Statistics | 0.531734 |
| National Vital Statistics | 0.509524 |
| evidence-based tobacco control | 0.498789 |
| cancer incidence data | 0.530234 |
| tobacco-related cancer cases | 0.616127 |
| United States Cancer | 0.534559 |
| incidence rates | 0.492317 |
| tobacco-related disparities | 0.511788 |
| Cancer Health Disparities | 0.500726 |
| death rates | 0.785303 |
| U.S. standard population | 0.561943 |
| preventable tobacco-related cancer | 0.574448 |
| cancer mortality data | 0.508077 |
| cancer prevention | 0.5315 |
| United States | 0.714269 |
| Cancer Statistics dataset | 0.501621 |
| cancer incidence rate | 0.51162 |
|
| tobacco-related cancer death | 0.703459 |
| cancer registries | 0.53629 |
| federal cancer statistics | 0.500713 |
| comprehensive cancer control | 0.562516 |
| cigarette smoking | 0.631747 |
| acute myeloid leukemia | 0.579078 |
| Tobacco-related cancer mortality | 0.583371 |
| tobacco-related cancer deaths | 0.712736 |
| National Cancer Institute | 0.59945 |
| tobacco-related disease | 0.5178 |
| age-adjusted tobacco-related cancer | 0.583799 |
| cancer control efforts | 0.526818 |
| urinary bladder | 0.526773 |
| tobacco-related cancer | 0.960813 |
| Tobacco-related invasive cancer | 0.578563 |
| cancer site | 0.52191 |
| lung cancer deaths | 0.51937 |
| smokeless tobacco | 0.494057 |
| annual percentage change | 0.507748 |
| tobacco-related cancer disparities | 0.576812 |
| oral cavity | 0.534678 |
| renal pelvis | 0.501512 |
| cancer death rates | 0.69637 |
| tobacco control | 0.517261 |
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