| 539 |
Centers for Disease Control and Prevention |
Html |
en |
School-Located Vaccination Planning Materials and Templates |
Templates and materials for planners to use when hosting school-located influenza vaccinations - CDC |
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| search | 0.263099 |
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| DOC | 0.368812 |
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| 5263 |
Centers for Disease Control and Prevention |
Html |
en |
Health Literacy - Guidance and Standards |
Guidance and standards resources can help you make your health information accurate, accessible, and actionable. |
| cultural competence | 0.477397 |
| 11-part Toolkit | 0.462715 |
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| NIH National Cancer | 0.633207 |
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| broad range | 0.44602 |
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| Health Literacy Online | 0.670723 |
| printed formats | 0.452916 |
| key objectives | 0.470851 |
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| user-centered design | 0.450024 |
| Clear Communication Index | 0.901437 |
| familiar idea | 0.445567 |
| Clear Communication | 0.985889 |
| Medicaid Services | 0.574376 |
| strategy development | 0.461505 |
| limited experience | 0.442822 |
| National Cancer Institute | 0.886538 |
| federal agencies | 0.44917 |
| plain language approaches | 0.634683 |
| CDC Clear Communication | 0.678837 |
| online health information | 0.611709 |
| NIH Health Literacy | 0.779711 |
| Written Material Clear | 0.645169 |
| one-stop source | 0.449068 |
| Pink Book | 0.459618 |
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| 6188 |
Centers for Disease Control and Prevention |
Html |
en |
Regional and racial differences in smoking and exposure to secondhand smoke: the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study. |
null |
| North Carolina | 0.430672 |
| smoking rates | 0.403605 |
| stroke buckle | 0.472672 |
| highest smoking rates | 0.363346 |
| median SHS exposure | 0.439639 |
| race-region strata | 0.378683 |
| regional differences | 0.58495 |
| whites | 0.347532 |
| current smokers | 0.304139 |
| SHS exposure time | 0.388023 |
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| odds | 0.297793 |
| stroke risk | 0.399259 |
| logistic regression | 0.334607 |
| current smoking | 0.793352 |
| high stroke mortality | 0.339123 |
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| stroke mortality | 0.484274 |
| higher stroke mortality | 0.356888 |
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| SHS exposure | 0.999082 |
| different smoking rates | 0.307762 |
| smoking history | 0.362892 |
|
| lower stroke risk | 0.338855 |
| smoking prevalence | 0.318754 |
| stroke deaths | 0.313774 |
| African Americans | 0.990994 |
| geographic disparities | 0.301432 |
| hemorrhagic stroke | 0.314408 |
| stroke events | 0.303751 |
| South Carolina | 0.382855 |
| cigarette smoking | 0.34363 |
| nonbelt region | 0.450783 |
| stroke belt | 0.880387 |
| SHS exposure level | 0.39599 |
| higher current smoking | 0.319412 |
| ischemic stroke | 0.314559 |
| participants | 0.330773 |
| higher smoking rates | 0.350663 |
| secondhand smoke exposure | 0.369953 |
| incident stroke | 0.307514 |
| SHS exposure data | 0.387798 |
| stroke belt/buckle | 0.294547 |
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| stroke rates | 0.312943 |
| stroke belt states | 0.350973 |
| current smoking differs | 0.312569 |
|
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| 6233 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, September 05, 2011 |
null |
| State smoke-free laws | 0.596826 |
| low drinking water | 0.561463 |
| Influenza vaccine effectiveness | 0.567151 |
| smoking-attributable disease | 0.524831 |
| Disease Control | 0.51038 |
| CDC Science Clips | 0.879239 |
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| Health effects | 0.500852 |
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| tobacco smoke | 0.512679 |
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| DHHS | 0.496452 |
| regular format | 0.507501 |
| age-specific patterns | 0.501901 |
| state cigarette excise | 0.600162 |
| smoking cessation | 0.520229 |
| general review articles | 0.614015 |
| public domain | 0.506762 |
| Stephen B. Thacker | 0.755863 |
| primary manufacturing facility | 0.565555 |
| California experience | 0.497085 |
| current Vital Signs | 0.600549 |
|
| chronic kidney disease | 0.588614 |
| smoke-free homes | 0.510091 |
| United States | 0.839656 |
| brain tumours | 0.495263 |
| final results | 0.497322 |
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| cigarette consumption | 0.506548 |
| weekly digest | 0.504191 |
| chronic beryllium disease | 0.579714 |
| Science Clips | 0.97985 |
| public health literature | 0.570284 |
| Youth Physical Activity | 0.569518 |
| B. Thacker CDC | 0.874407 |
| Cigarette smoking | 0.535692 |
| background information | 0.507969 |
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| Inj Prev. | 0.501106 |
| Surgeon General | 0.497123 |
| original sources | 0.508014 |
| CDC Vital Signs | 0.745938 |
| tobacco control activity | 0.597876 |
| coronary heart disease | 0.580514 |
| realistic smoking prevalence | 0.59575 |
| Thacker CDC Library | 0.87433 |
|
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| 6862 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Severe Hand, Foot, and Mouth Disease Associated with Coxsackievirus A6 - Alabama, Connecticut, California, and Nevada, November 2011-February 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. | 0.69314 |
| CDC | 0.737575 |
| Maria L. Salas | 0.731847 |
| extensive rash | 0.739789 |
| Human Services | 0.725798 |
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| MMWR HTML versions | 0.733795 |
| U.S. Department | 0.725385 |
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| Zoonotic Infectious Diseases | 0.730834 |
| National Center | 0.723419 |
| CVA6 strains | 0.734328 |
| patients | 0.741468 |
| serotype coxsackievirus | 0.697759 |
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| Marie Louise Landry | 0.724876 |
| HFMD | 0.837631 |
| Mary G. McIntyre | 0.733123 |
| original paper copy | 0.728053 |
| Washoe County Health | 0.74921 |
|
| Julie A. Kulhanjian | 0.730351 |
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| Tara L. Greenhow | 0.733443 |
| California Department | 0.689728 |
| Pediatrics Medical Group | 0.7318 |
| Public Health | 0.758508 |
| CVA6-associated HFMD | 0.716431 |
| United States | 0.974984 |
| U.S. Government Printing | 0.740548 |
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| U.S. cases | 0.735184 |
| CVA6 HFMD | 0.730929 |
| child care settings | 0.746811 |
| San Francisco | 0.727051 |
| atypical rash | 0.749676 |
| Coxsackievirus A6 | 0.696841 |
| rash variables | 0.740366 |
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| Dianna M. Blau | 0.733949 |
|
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| 6943 |
Centers for Disease Control and Prevention |
Html |
en |
The Importance of Folic Acid: Anifa's Story | CDC Features |
Worldwide, more than 300,000 babies are born with serious birth defects of the brain and spine each year. Read Anifa's story and find out what CDC is doing to help. |
| pregnancies | 0.224902 |
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| CDC | 0.236683 |
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| women | 0.231304 |
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| death | 0.237424 |
|
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| 9292 |
Centers for Disease Control and Prevention |
Html |
es |
CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0066 |
CDC - Wide Page example description goes here |
| health statistics vision | 0.511073 |
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| Estados Unidos | 0.426658 |
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| subvención robert wood | 0.420277 |
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| Wisconsin School | 0.420391 |
|
| Kindig D | 0.433699 |
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Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Assessing the Food Environment of a Rural Community: Baseline Findings From the Heart of New Ulm Project, Minnesota, 2010"2011 - CDC |
Changes in the food environment in the United States during the past few decades have contributed to increased rates of obesity, diabetes, and heart disease. Improving the food environment may be an effective primary prevention strategy to address these rising disease rates. The purpose of this study was to assess the consumer food environment of a rural community with high rates of obesity and low levels of fruit and vegetable consumption. Findings were used to identify food environment intervention strategies to be implemented as part of a larger community-based heart disease prevention program. |
| food environment | 0.797585 |
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| Minneapolis Heart Institute | 0.286614 |
| availability | 0.212169 |
|
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| new ulm project | 0.295433 |
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| consumer food environment | 0.247434 |
| sit-down restaurants | 0.267068 |
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| restaurants | 0.62475 |
| Heart Institute Foundation | 0.29656 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, November 17, 2014 |
CDC - Stephen B. Thacker Library - Science Clips |
| pneumococcal conjugate vaccines | 0.773356 |
| Trop Med Hyg. | 0.916111 |
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| Basavaraju SV | 0.784427 |
| Nov | 0.874587 |
| population-level effectiveness evaluation | 0.777918 |
| febrile hospitalized patients | 0.78559 |
| cervical cancer incidence | 0.787204 |
| Hall HI | 0.784441 |
| United States | 0.842707 |
| Prev Chronic Dis. | 0.872534 |
| chronic Lyme disease | 0.791199 |
| JAMA Intern Med. | 0.790081 |
| Child Health J. | 0.805242 |
|
| public health community | 0.849405 |
| birth defects surveillance | 0.783564 |
| health services | 0.768686 |
| Human Brucella canis | 0.773336 |
| rubella syndrome incidence | 0.779623 |
| Saf Health Work. | 0.800455 |
| public health | 0.885416 |
| Health Promot Pract. | 0.824396 |
| public health literature | 0.810868 |
| external donor support | 0.774802 |
| B. Thacker CDC | 0.795353 |
| incarcerated female adolescents | 0.774861 |
| Indian Health Service | 0.812693 |
| birth defects | 0.810823 |
| Epidemiol Community Health. | 0.798663 |
| national surveillance activities | 0.781395 |
| community care center | 0.793714 |
| Dubaniewicz Jr TH | 0.775143 |
| U.S. health departments | 0.806007 |
| et al | 0.918983 |
| Crit Care Med. | 0.779107 |
| internally shorted lithium | 0.770993 |
| Community Readiness Model | 0.793863 |
| Clin Mol Teratol. | 0.855164 |
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| 12198 |
Centers for Disease Control and Prevention |
Html |
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Determining Risk of Ebola Transmission in Healthcare andCommunity Settings | Ebola Hemorrhagic Fever | CDC |
null |
| Ebola treatment unit | 0.606053 |
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| low risk | 0.780014 |
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| infection control | 0.784284 |
|
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| public access policies | 0.538622 |
| key strategy | 0.581356 |
| public access | 0.550674 |
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| public health | 0.562264 |
| confirmed Ebola | 0.55779 |
| future outbreaks | 0.584001 |
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| cases | 0.608504 |
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| confirmed EVD | 0.56478 |
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| healthcare workforce | 0.574916 |
| healthcare workers | 0.968133 |
| community care center | 0.550415 |
| West Africa | 0.496547 |
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| healthcare settings | 0.572717 |
| indirect loss | 0.581383 |
|
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