| 1089 |
Centers for Disease Control and Prevention |
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MMWR - Recommendations and Reports - APPENDIX A - March 22, 2013 |
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. |
| substantive excess risk | 0.537198 |
| Jacobson JA FG | 0.530207 |
| Pediatr Infect Dis | 0.571951 |
| nasopharyngeal carriage | 0.724907 |
| MMWR HTML versions | 0.531309 |
| public health departments | 0.534272 |
| acceptable antimicrobial agents | 0.566673 |
| nasopharyngeal carriers | 0.533732 |
| electronic PDF version | 0.525682 |
| Elcuaz R. Primary | 0.530225 |
| laboratory animals | 0.533896 |
| Clin Infect Dis | 0.693408 |
| preelementary school contacts | 0.549926 |
| Secondary attack rate | 0.541009 |
| meningococcal resistance | 0.595168 |
| Neisseria meningitidis | 0.590194 |
| meningococcal disease | 0.958195 |
| 500-mg oral dose | 0.537475 |
| Antimicrob Agents Chem | 0.531644 |
| Rev Infect Dis | 0.574142 |
| invasive meningococcal disease | 0.703744 |
| United States | 0.544442 |
| original MMWR paper | 0.530427 |
| U.S. Government Printing | 0.52658 |
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| Infect Dis | 0.729722 |
| N. meningitidis | 0.63303 |
| first-line chemoprophylaxis agent | 0.570237 |
| health-care personnel | 0.5618 |
| antimicrobial chemoprophylaxis | 0.667547 |
| Mateczun A. Azithromycin | 0.576716 |
| nasopharyngeal colonization | 0.533384 |
| sustained ciprofloxacin resistance | 0.605476 |
| index patient | 0.65724 |
| sporadic meningococcal disease | 0.694038 |
| secondary attach rate | 0.544749 |
| single-dose ciprofloxacin | 0.534693 |
| Frenck RW Jr | 0.525521 |
| attack rate | 0.598253 |
| Anonymous. Meningococcal disease | 0.666176 |
| Systemic antimicrobial therapy | 0.560462 |
| secondary cases | 0.55258 |
| Primary meningococcal conjunctivitis | 0.770856 |
| acceptable alternative therapy | 0.525946 |
| close contacts | 0.778442 |
| et al | 0.53026 |
| Single dose ciprofloxacin | 0.591083 |
| nasopharyngeal cultures | 0.544781 |
| Meningococcal pneumonia | 0.583845 |
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Quick Facts for the Public on Antiviral Treatments for 2009 H1N1 |
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| flu test result | 0.492159 |
| influenza diagnostic test | 0.246214 |
| rapid flu test | 0.633703 |
| prescription antiviral drug | 0.359643 |
| high risk groups | 0.311647 |
| health care provider | 0.760246 |
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| rapid flu tests | 0.482047 |
| lung disease | 0.246344 |
| Health care providers | 0.402218 |
| common side effects | 0.254942 |
| flu complications | 0.61774 |
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Centers for Disease Control and Prevention |
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Science Clips - Monday, October 11, 2010 |
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| postnatal depression scale | 0.721746 |
| urinary sodium excretion | 0.716515 |
| household survey data | 0.726354 |
| Nutrition Survey | 0.684134 |
| Health Organization African | 0.756352 |
| primary care providers | 0.729258 |
| African region | 0.719429 |
| Maternal influenza vaccination | 0.732006 |
| CDC Science Clips | 0.9649 |
| Program transition initiative | 0.71632 |
| Pathology collaborative project | 0.72606 |
| new weekly digest | 0.742414 |
| Chief Science Officer | 0.755085 |
| school vending machines | 0.733181 |
| nested case-control study | 0.732124 |
| condom distribution interventions | 0.732125 |
| DNA reference materials | 0.728845 |
| nutrition examination survey | 0.725235 |
| public domain | 0.686589 |
| 12-month follow-up | 0.680641 |
| human immunodeficiency virus | 0.746354 |
| Stephen B. Thacker | 0.875059 |
| Behavioral Risk Factor | 0.7267 |
| Hearing health | 0.689088 |
| Multiple healthy behaviors | 0.724779 |
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| United States | 0.776997 |
| behavioural risk factors | 0.713814 |
| National Spina Bifida | 0.741918 |
| young U.S. adults | 0.73296 |
| health study | 0.692828 |
| influenza virus infection | 0.727025 |
| immunodeficiency syndrome | 0.690224 |
| Surveillance System Survey | 0.677608 |
| region laboratory accreditation | 0.728599 |
| Primary immunodeficiency diseases | 0.751281 |
| emergency department patients | 0.744992 |
| Pediatr Adolesc Med. | 0.733999 |
| optimal self-rated health | 0.75848 |
| public health literature | 0.753534 |
| Youth Physical Activity | 0.735902 |
| B. Thacker CDC | 0.958261 |
| high school students | 0.725735 |
| randomized controlled trial | 0.715591 |
| original sources | 0.689143 |
| Korean national health | 0.747372 |
| complex activity limitations | 0.722734 |
| persistent organic pollutants | 0.721957 |
| Health Serv Res. | 0.757757 |
| Thacker CDC Library | 0.958213 |
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Centers for Disease Control and Prevention |
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Epidemiology and Microbiology in Adult and Pediatric Patients - 2011 BSI Guidelines |
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| 6443 |
Centers for Disease Control and Prevention |
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Notes from the Field: Campylobacter jejuni Infections Associated with Sheep Castration - Wyoming, 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. |
| mmwrq@cdc.gov. | 0.530659 |
| abdominal cramps | 0.524391 |
| original MMWR paper | 0.604894 |
| U.S. Government Printing | 0.598611 |
| stool specimens | 0.518554 |
| Human Services | 0.603776 |
| assistive technology | 0.529364 |
| human isolates | 0.533294 |
| low frequency | 0.507914 |
| U.S. Department | 0.601423 |
| MMWR HTML versions | 0.597087 |
| MMWR readers | 0.511796 |
| Karl Musgrave | 0.506531 |
| electronic PDF version | 0.597959 |
| EIS officers | 0.508787 |
| laboratory-confirmed cases | 0.529258 |
| Aimee Geissler | 0.517053 |
| Ranch owners | 0.512229 |
| laboratory-confirmed illness | 0.512805 |
| animal exposure | 0.515008 |
| PFGE pattern | 0.814082 |
| Kerry R. Pride | 0.74442 |
| unpasteurized dairy products | 0.615443 |
| fecal samples | 0.515024 |
|
| subject line | 0.528924 |
| patients | 0.540139 |
| Contact GPO | 0.523365 |
| Clay Van Houten | 0.606272 |
| typeset documents | 0.506192 |
| commercial sources | 0.506116 |
| age-specific techniques | 0.514504 |
| official text | 0.506836 |
| common source | 0.512611 |
| Wyoming Department | 0.534254 |
| PulseNet* database | 0.512992 |
| Campylobacter jejuni enteritis | 0.797895 |
| mild diarrheal illness | 0.615378 |
| C. jejuni infection | 0.744309 |
| local sheep ranch | 0.640112 |
| original paper copy | 0.591491 |
| lambs | 0.577445 |
| lamb castration | 0.513945 |
| common sources | 0.516974 |
| pulsed-field gel electrophoresis | 0.607844 |
| multiday event | 0.654089 |
| laboratory testing | 0.514667 |
| C. jejuni | 0.926391 |
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| 6855 |
Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0120 |
Several well-established determinants of health are associated with premature mortality. Using data from the 2010 County Health Rankings, we describe the association of selected determinants of health with premature mortality among counties with broadly differing levels of income. |
| county mortality data | 0.431086 |
| lower premature mortality | 0.488074 |
| Population Health Sciences | 0.358692 |
| average premature mortality | 0.451721 |
| county-level premature mortality | 0.458659 |
| adverse health outcomes | 0.359038 |
| CDC Compressed Mortality | 0.405283 |
| higher income levels | 0.366972 |
| household income levels | 0.454786 |
| Prevention Compressed Mortality | 0.432243 |
| 4-year college degree | 0.377376 |
| mortality disparities | 0.407114 |
| health outcomes | 0.404858 |
| County Health Rankings | 0.51305 |
| higher premature mortality | 0.487669 |
| premature mortality determinants | 0.461343 |
| Disease Control | 0.359071 |
| median household income | 0.594244 |
| percentage | 0.374675 |
| county-level income | 0.364643 |
| health care | 0.465978 |
| public health | 0.373585 |
| multivariable regression | 0.357527 |
| median annual household | 0.358229 |
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| variables | 0.357658 |
| population health | 0.381715 |
| Compressed Mortality database | 0.46513 |
| federal poverty guidelines | 0.368544 |
| high-income counties | 0.361263 |
| mortality measures | 0.383269 |
| health | 0.515404 |
| income levels | 0.466262 |
| annual household income | 0.385585 |
| Gini index scores | 0.364765 |
| scores income inequality | 0.400218 |
| index scores income | 0.39205 |
| Greater income inequality | 0.368512 |
| overall mortality | 0.393562 |
| better mortality outcomes | 0.400742 |
| income groups | 0.444674 |
| lower mortality rates | 0.417628 |
| income inequality | 0.511764 |
| population health model | 0.357571 |
| age-adjusted mortality rate | 0.466962 |
| premature mortality | 0.942408 |
| counties | 0.424374 |
| premature mortality rate | 0.515903 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Evaluation of Consumer Understanding of Different Front-of-Package Nutrition Labels, 2010"2011 - CDC |
Governments throughout the world are using or considering various front-of-package (FOP) food labeling systems to provide nutrition information to consumers. Our web-based study tested consumer understanding of different FOP labeling systems. |
| study | 0.559344 |
| TL labels | 0.486856 |
| intake label group | 0.477487 |
| FOP labeling systems | 0.737801 |
| Choices group | 0.600351 |
| nutrition information | 0.557016 |
| healthier product quiz | 0.59089 |
| control group | 0.541977 |
| complex MTL symbol | 0.451993 |
| Correct answers | 0.49082 |
| products | 0.70382 |
| MTL+caloric intake groups | 0.537478 |
| new FOP labeling | 0.488254 |
| different FOP labeling | 0.508378 |
| Choices logo | 0.489414 |
| front-of-package label groups | 0.479847 |
| MTL label | 0.455427 |
| healthier products | 0.451289 |
| post-hoc Tukey tests | 0.78974 |
| Different FOP symbols | 0.469709 |
| food labeling systems | 0.458858 |
| participants | 0.669975 |
| MTL+caloric intake group | 0.527394 |
| groups preferred FOP | 0.460294 |
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| product | 0.702697 |
| 9-point Likert scale | 0.567933 |
| daily calorie recommendation | 0.474757 |
| MTL+caloric intake label | 0.676755 |
| food category | 0.487141 |
| study groups | 0.536592 |
| groups | 0.668151 |
| different FOP labels | 0.518322 |
| calorie recommendation icon | 0.471247 |
| calories | 0.455039 |
| TL groups | 0.587187 |
| Choices symbol | 0.987005 |
| food | 0.605026 |
| Dressing California French | 0.450772 |
| specific nutrients | 0.500089 |
| MTL+caloric intake | 0.964299 |
| Chunky Grilled Sirloin | 0.542387 |
| multiple traffic light | 0.797347 |
| univariate ANOVA | 0.480441 |
| label groups | 0.569749 |
| FOP labels | 0.592835 |
| Grilled Sirloin Steak | 0.540741 |
| Health Valley Apple | 0.451593 |
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Centers for Disease Control and Prevention |
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Announcement: New National Health Interview SurveyOccupational Health Supplement Topic Page |
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. | 0.765203 |
| endorsement | 0.672646 |
| Human Services | 0.86616 |
| assistive technology | 0.766627 |
| National Health Interview | 0.91768 |
| prevalence rates | 0.752493 |
| sector profiles | 0.748022 |
| U.S. Department | 0.863176 |
| MMWR HTML versions | 0.856979 |
| tables | 0.643509 |
| new topic page | 0.878064 |
| electronic PDF version | 0.842691 |
| e-mail | 0.650564 |
| Occupational Health Supplement | 0.939743 |
| NIOSH | 0.674935 |
| Additional information | 0.763933 |
| Contact GPO | 0.767932 |
| commercial sources | 0.738753 |
| work-related health conditions | 0.914239 |
| occupation subgroups | 0.757687 |
| current prices | 0.735128 |
| work organization factors | 0.866528 |
| original paper copy | 0.851273 |
| additional profile | 0.753039 |
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| appropriate attention | 0.733342 |
| employer stakeholders | 0.746268 |
| sector-level results | 0.751849 |
| sector profile | 0.74525 |
| U.S. Government Printing | 0.854823 |
| original MMWR paper | 0.852002 |
| Occupational Safety | 0.782877 |
| MMWR readers | 0.747161 |
| character translation | 0.731896 |
| additional outcomes | 0.751367 |
| pressing industry health | 0.910264 |
| industry averages | 0.758901 |
| National Occupational Research | 0.912437 |
| format errors | 0.734971 |
| subject line | 0.761514 |
| small subsamples | 0.74572 |
| typeset documents | 0.741575 |
| trade names | 0.738858 |
| subsectors | 0.639795 |
| official text | 0.730253 |
| organizational levels | 0.735814 |
| contain charts | 0.746327 |
| non-CDC sites | 0.738323 |
| electronic conversions | 0.730622 |
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Centers for Disease Control and Prevention |
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CDC Telebriefing on National Immunization Survey- Teen results and HPV vaccination coverage among adolescents | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| conjugate vaccine dose | 0.435382 |
| vaccine injury compensation | 0.442131 |
| American Academy | 0.382845 |
| Tdap vaccine | 0.433572 |
| maggie fox | 0.392026 |
| big news story | 0.391207 |
| National Vaccine Injury | 0.416026 |
| operator | 0.402556 |
| new HPV infections | 0.436906 |
| Dr. Anne Schuchat | 0.377983 |
| lining HPV coverage | 0.448003 |
| HPV vaccination coverage | 0.49294 |
| teen vaccination results | 0.406585 |
| HPV vaccinations | 0.449929 |
| Papillomavirus Vaccination Coverage | 0.384691 |
| mike stobbe | 0.440256 |
| HPV vaccine injuries | 0.492496 |
| HPV infections | 0.453356 |
| anne schuchat | 0.859029 |
| parents | 0.43737 |
| meningococcal vaccine | 0.412942 |
| HPV vaccination | 0.593243 |
| vaccines | 0.492689 |
| United States | 0.426172 |
| HPV vaccination report | 0.461335 |
|
| altruistic vaccine | 0.398633 |
| follow-up question | 0.462817 |
| teens | 0.388349 |
| HPV vaccine | 0.992032 |
| percent | 0.436513 |
| vaccine data | 0.412452 |
| South Carolina | 0.390349 |
| states | 0.454584 |
| new vaccine | 0.404248 |
| percentage points | 0.386971 |
| HPV vaccination rates | 0.440283 |
| Area Vaccination Coverage | 0.384632 |
| meningococcal conjugate vaccine | 0.546436 |
| Dr. Schuchat | 0.433501 |
| National Immunization Survey | 0.398718 |
| doctor-validated vaccine history | 0.431214 |
| HPV vaccine series | 0.500602 |
| HPV article. | 0.411651 |
| question | 0.486378 |
| HPV virus | 0.405062 |
| HPV adolescent girls | 0.432941 |
| vaccine coverage | 0.42528 |
| seriously vaccine safety | 0.413593 |
| persistent HPV infections | 0.433012 |
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Measures of People's Skills and Experiences |
This page provides tools and resources for researching and evaluating health literacy practice. |
| American adults | 0.355978 |
| International Assessment | 0.396015 |
| Health Literacy Measurement | 0.553524 |
| Healthcare Providers | 0.352618 |
| psychometric properties | 0.352495 |
| health information | 0.405512 |
| Group Survey | 0.352347 |
| Health Literacy Tool | 0.583317 |
| RTI International | 0.355202 |
| Health Literacy Component | 0.576062 |
| health care professionals | 0.41471 |
| National Center | 0.359917 |
| Educational Progress | 0.352155 |
| Addressing Health Literacy | 0.555327 |
| people’s literacy | 0.532574 |
| technology-rich environments | 0.356874 |
| Literacy Tool Shed | 0.534949 |
| various subject areas | 0.399765 |
| international survey | 0.359751 |
| health-related materials | 0.355715 |
| Boston University | 0.350244 |
| health literacy | 0.901496 |
| Consumer Assessment | 0.363485 |
| NAAL | 0.376742 |
| Adult Competencies | 0.403175 |
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| first-ever national assessment | 0.419518 |
| health literacy measures | 0.544518 |
| AHRQ-funded researchers | 0.350424 |
| United States | 0.349566 |
| health literacy—individuals | 0.370742 |
| nationally representative assessment | 0.414253 |
| Education Statistics | 0.355812 |
| national assessment | 0.436978 |
| comprehensive measure | 0.367964 |
| Communicate Health | 0.370003 |
| CAHPS Consortium | 0.353096 |
| health literacy skills | 0.613814 |
| reliable assessments | 0.350411 |
| supplemental set | 0.352362 |
| peer-reviewed literature | 0.349426 |
| National Library | 0.354013 |
| English literacy | 0.510902 |
| Different surveys | 0.362058 |
| adult literacy | 0.534054 |
| CAHPS Item Set | 0.395474 |
| primary goal | 0.351473 |
| CAHPS Clinician | 0.35622 |
| numeracy skills | 0.371806 |
| evaluation questions | 0.361329 |
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