| 708 |
Centers for Disease Control and Prevention |
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Estimated Influenza Illnesses and Hospitalizations Avertedby Influenza Vaccination - United States, 2012-13 InfluenzaSeason |
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. |
| CDC Influenza Hospitalization | 0.579345 |
| recent reported influenza | 0.555098 |
| influenza vaccination coverage | 0.717765 |
| Influenza Div | 0.544475 |
| averted hospitalizations | 0.534951 |
| influenza circulation | 0.532437 |
| Risk Factor Surveillance | 0.505244 |
| seasonal influenza vaccination | 0.666621 |
| vaccination coverage | 0.729434 |
| number | 0.507316 |
| Higher vaccination rates | 0.579809 |
| outcomes | 0.50047 |
| high-dose influenza vaccine | 0.580034 |
| vaccination status | 0.550557 |
| vaccination rates | 0.653453 |
| vaccination coverage survey | 0.541719 |
| vaccine effectiveness | 0.804667 |
| persons | 0.602906 |
| influenza vaccine effectiveness | 0.71876 |
| influenza hospitalizations | 0.596343 |
| annual influenza vaccination | 0.640367 |
| influenza prevention | 0.563953 |
| influenza-associated hospitalization rates | 0.501265 |
| fewer hospitalizations | 0.593081 |
| Ñ?ЛП
Influenza | 0.565161 |
|
| Behavioral Risk Factor | 0.507106 |
| high vaccination coverage | 0.598454 |
| influenza illnesses | 0.62402 |
| CDC influenza surveillance | 0.580507 |
| U.S. Influenza Vaccine | 0.593813 |
| United States | 0.570037 |
| age group | 0.553367 |
| influenza hospitalization rates | 0.6311 |
| vaccination coverage rates | 0.623541 |
| vaccination levels | 0.521023 |
| vaccination recommendation | 0.514967 |
| relatively high vaccination | 0.595637 |
| universal influenza vaccination | 0.653917 |
| National Immunization Survey | 0.513674 |
| influenza season | 0.717253 |
| influenza vaccination | 0.99564 |
| influenza seasons | 0.611405 |
| medically attended illnesses | 0.542953 |
| vaccination records | 0.51424 |
| hospitalization rates | 0.657096 |
| influenza deaths | 0.541494 |
| 2009 influenza pandemic | 0.580159 |
| influenza-associated hospitalizations | 0.500762 |
| influenza season vaccination | 0.704975 |
|
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| 5074 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, August 10, 2009 |
null |
| coxsackievirus B1 strains | 0.708268 |
| Cole JW | 0.665678 |
| Albright AL | 0.665597 |
| Jones JL | 0.665188 |
| longitudinal study | 0.663305 |
| New York City | 0.699289 |
| Mayer-Davis EJ | 0.668667 |
| school-based weight maintenance | 0.695956 |
| Lakes National Forest | 0.70367 |
| CDC Knowledge | 0.767114 |
| Action Science Clips | 0.964161 |
| Nutrition Examination Survey | 0.692119 |
| Infectious Diseases Society | 0.696756 |
| new weekly digest | 0.717132 |
| Saaddine JB | 0.664157 |
| den Bakker HC | 0.696326 |
| young women study | 0.721816 |
| epidemiological review | 0.664773 |
| Chief Science Officer | 0.721144 |
| clinical practice guidelines | 0.701081 |
| Kaplan JE | 0.667216 |
| public domain | 0.664782 |
| Stephen B. Thacker | 0.813599 |
| multicenter study | 0.670626 |
| Silver Spring | 0.691145 |
|
| U.S. cancer mortality | 0.69153 |
| Occup Health Saf. | 0.699669 |
| United States | 0.770575 |
| methicillin-resistant Staphylococcus aureus | 0.690794 |
| Kaminski JW | 0.665644 |
| re-emerging infectious disease | 0.705328 |
| premenopausal breast cancer | 0.691654 |
| Patel JB | 0.66314 |
| randomised controlled trials | 0.780952 |
| fever virus transmission | 0.691404 |
| Youth Study | 0.680427 |
| public health literature | 0.700785 |
| B. Thacker CDC | 0.863137 |
| trans fat restriction | 0.686461 |
| systematic review | 0.737811 |
| Neuraminidase inhibitors | 0.700275 |
| active Rift Valley | 0.702388 |
| violence prevention strategies | 0.700855 |
| original sources | 0.670117 |
| middle school youth | 0.701922 |
| home care settings | 0.687152 |
| Thacker CDC Library | 0.863112 |
| stroke prevention | 0.662974 |
| Jernigan JA | 0.721984 |
|
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Centers for Disease Control and Prevention |
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en |
Adolescent Girls' Weight-Related Family Environments, Minnesota |
null |
| family environment survey | 0.396414 |
| high school | 0.445937 |
| sociodemographic groups | 0.375009 |
| resource-rich family environment | 0.383704 |
| large sociodemographic disparities | 0.385581 |
| family environment component | 0.391188 |
| girls | 0.591872 |
| parental education | 0.732326 |
| family environment components | 0.423547 |
| parental physical activity | 0.406163 |
| family environment variables | 0.390023 |
| family environments | 0.481371 |
| foreign-born girls | 0.399932 |
| Asian girls | 0.433377 |
| family environment constructs | 0.390446 |
| adolescents | 0.441305 |
| healthful eating | 0.481914 |
| health-promoting family environment | 0.38138 |
| fewer family environment | 0.38945 |
| family environment factors | 0.38959 |
| healthful diet | 0.434017 |
| sociodemographic characteristics | 0.496759 |
| parents | 0.528861 |
| New Moves | 0.413129 |
|
| study | 0.420475 |
| United States | 0.462092 |
| physical activity resources | 0.429729 |
| higher parental education | 0.393328 |
| response options | 0.56437 |
| activity–related family environment | 0.38858 |
| New Moves intervention | 0.388532 |
| sedentary behavior | 0.37598 |
| television | 0.450352 |
| parental modeling | 0.491671 |
| home physical activity | 0.375608 |
| families | 0.373112 |
| frequent family meals | 0.403091 |
| supportive family environment | 0.385024 |
| physical activity | 0.842352 |
| home | 0.391454 |
| Hispanic adolescent girls | 0.372688 |
| school-based physical activity | 0.378888 |
| family environment characteristics | 0.431641 |
| weight-related family environment | 0.385395 |
| family environment | 0.968405 |
| adolescent girls | 0.44425 |
| physical education class | 0.381939 |
| socioeconomic status | 0.373651 |
|
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| 6997 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - May 18, 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. |
| H. influenzae | 0.376572 |
| National Center | 0.293729 |
| cases | 0.354859 |
| CDC | 0.287887 |
| novel influenza | 0.635704 |
| Total case counts | 0.443245 |
| pandemic influenza | 0.93758 |
| measles cases | 0.335474 |
| ** Data | 0.337913 |
|
| Cumulative total E. | 0.463016 |
| Influenza Division | 0.441593 |
| case reports | 0.281924 |
| 2009 pandemic | 0.744245 |
| probable cases | 0.321713 |
| Respiratory Diseases | 0.300603 |
| rubella cases | 0.304484 |
| human infection | 0.323499 |
| influenza A virus | 0.480032 |
|
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| 8182 |
Centers for Disease Control and Prevention |
Html |
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Learn the Signs. Act Early. Milestones |
The Centers for Disease Control and Prevention’s (CDC) National Center on Birth Defects and Developmental Disabilities (NCBDDD), in collaboration with a number of national partners, launched a public awareness campaign called “Learn the Signs. Act Early.” The campaign aims to educate parents about childhood development, including early warning signs of autism and other developmental disorders, and encourages developmental screening and intervention. |
| bye bye | 0.684063 |
| validated developmental screening | 0.815871 |
| developmental milestones | 0.934118 |
| Click | 0.358486 |
| Act early. | 0.515779 |
| concerns | 0.352909 |
| tools | 0.345829 |
| substitute | 0.369497 |
| signs | 0.350767 |
|
| problem | 0.344007 |
| Skills | 0.354955 |
| materials | 0.346296 |
| step | 0.354671 |
| crawling | 0.383193 |
| time | 0.354387 |
| Children | 0.350894 |
| age | 0.348963 |
|
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| 8560 |
Centers for Disease Control and Prevention |
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PanFlu Storybook - In Memorial, Alice Campbell Jones-Chambliss |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| tragic event | 0.64479 |
| Alice Campbell Jones–Chambliss | 0.910274 |
| couple | 0.434877 |
| Delha Rebecca Pope | 0.839595 |
| Post Office | 0.615049 |
| Jr. | 0.437209 |
| ideal life | 0.614824 |
| Good Shepherd Episcopal | 0.784441 |
| house | 0.435285 |
| platform | 0.43828 |
| Honorable Frances Fitzgerald | 0.865286 |
| Oaks. | 0.473494 |
| son | 0.434239 |
| brother John Jones | 0.828567 |
| children | 0.437339 |
| Storyteller | 0.447935 |
| marriage | 0.434602 |
| entire life | 0.630033 |
| Anne Trinkle Jones | 0.926809 |
| Samuel Goode Jones | 0.954992 |
| Virginia State Senator | 0.8687 |
| tragic deaths | 0.643979 |
|
| devastating blow | 0.631483 |
| new husband | 0.63366 |
| family members | 0.609479 |
| Campbell Chambliss | 0.814852 |
| Cammie | 0.539029 |
| spanish influenza | 0.800703 |
| Rawlings | 0.454027 |
| Delha Pope | 0.625237 |
| estate | 0.43509 |
| quick death | 0.613678 |
| home | 0.461296 |
| active members | 0.608301 |
| Roger Lee Chambliss | 0.900607 |
| maternal great–grandfather | 0.648686 |
| Campbell Goode | 0.958746 |
| spacious front veranda | 0.677333 |
| Brunswick County | 0.89084 |
| daughter | 0.49199 |
| Senator Jones | 0.653685 |
| parents | 0.470887 |
| Location | 0.442439 |
| child | 0.439819 |
|
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Centers for Disease Control and Prevention |
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Worker Safety in a Power Outage |
Information on disasters. Provided by the Centers for Disease Control and Prevention (CDC). |
| family… | 0.339238 |
| Guide | 0.335933 |
| charcoal grills | 0.649458 |
| carbon monoxide | 0.950552 |
| General info | 0.582777 |
| hurricane | 0.369657 |
| steps | 0.367412 |
| flood | 0.369387 |
| food | 0.342904 |
|
| heat-related illness | 0.64169 |
| water safety | 0.580568 |
| aftermath | 0.380931 |
| heat stress | 0.542196 |
| camp stoves | 0.599626 |
| powerline hazards | 0.69177 |
| carbon monoxide poisoning | 0.935865 |
| Extreme Heat Prevention | 0.74894 |
|
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Centers for Disease Control and Prevention |
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Organizations and Committees |
Organizations and Committees that contribute to the science and practice of health literacy improvement. |
| associations | 0.321229 |
| practice | 0.323195 |
| public sectors | 0.419028 |
| National Framework | 0.431683 |
| Human Services | 0.439173 |
| national leadership | 0.425975 |
| industry | 0.321289 |
| health literacy web | 0.751661 |
| international organizations | 0.445164 |
| U.S. Department | 0.56232 |
| Cooperative Extension | 0.432707 |
| Engineering | 0.324967 |
| NIFA | 0.344075 |
| health literacy programs | 0.756189 |
| academia | 0.325178 |
| consumer interests | 0.426394 |
| Agriculture | 0.339175 |
| state | 0.321791 |
| federal agencies | 0.445317 |
| patient engagement | 0.424803 |
| communication | 0.320129 |
| health literacy improvement | 0.717209 |
| local programs | 0.427558 |
|
| National Institute | 0.433736 |
| government agencies | 0.447498 |
| Science-Driven Health Care | 0.536286 |
| health literacy issues | 0.67427 |
| IOM | 0.334065 |
| foundations | 0.320818 |
| resources | 0.325089 |
| committees | 0.323794 |
| wellness programs | 0.434043 |
| food | 0.343986 |
| Medicine | 0.324934 |
| Roundtable issues reports | 0.571971 |
| non-profit organizations | 0.447874 |
| agricultural sciences | 0.426389 |
| nutrition | 0.322349 |
| site | 0.320675 |
| National Academies | 0.456156 |
| health literacy | 0.941926 |
| partner | 0.320286 |
| plans | 0.325211 |
| Value | 0.320381 |
| page | 0.325166 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | State Socioeconomic Indicators and Self-Reported Hypertension Among US Adults, 2011 Behavioral Risk Factor Surveillance System - CDC |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| state SES indicators | 0.392186 |
| self-reported hypertension independent | 0.300955 |
| binge drinking | 0.321594 |
| odds ratio | 0.258372 |
| high school education | 0.289435 |
| median household income | 0.872906 |
| smoking status | 0.315389 |
| self-reported hypertension | 0.611333 |
| Introduction
Hypertension | 0.265812 |
| state variables | 0.255321 |
| macro-level SES | 0.286161 |
| state socioeconomic status | 0.280094 |
| individual SES | 0.344985 |
| state SES variables | 0.498355 |
| linear mixed models | 0.300147 |
| body mass index | 0.310296 |
| hypertension prevalence | 0.342611 |
| state poverty level | 0.325274 |
| poverty line | 0.318092 |
| heavy drinking | 0.280663 |
| self-reported hypertension prevalence | 0.327 |
| disadvantaged macro-level SES | 0.268055 |
| area SES | 0.26611 |
| low state SES | 0.357394 |
| state socioeconomic indicators | 0.277351 |
|
| micro-level SES measures | 0.298893 |
| Behavioral Risk Factor | 0.254758 |
| low median household | 0.336186 |
| hypertension prevalence rates | 0.334904 |
| national poverty level | 0.306545 |
| United States | 0.391896 |
| state ses | 0.800306 |
| individual SES variables | 0.313062 |
| hypertension status | 0.31522 |
| high state SES | 0.324163 |
| state median household | 0.346367 |
| leisure physical activity | 0.343022 |
| marital status | 0.347288 |
| national poverty line | 0.258684 |
| individual characteristics | 0.299334 |
| hypertension risk | 0.311097 |
| vegetable intake | 0.283876 |
| education attainment | 0.327718 |
| annual household income | 0.317849 |
| health | 0.276551 |
| household income | 0.904571 |
| disadvantageous state SES | 0.315042 |
| employment status | 0.391578 |
| high blood pressure | 0.37835 |
|
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Centers for Disease Control and Prevention |
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2016 News Releases | Newsroom | NCHHSTP | CDC |
null |
| New analysis | 0.443745 |
| International AIDS Conference | 0.557653 |
| persistent disparity | 0.445936 |
| infectious diseases | 0.603056 |
| substantially higher levels | 0.563257 |
| oral antibiotic treatment | 0.550227 |
| Injection Drug | 0.448486 |
| nationally reported STDs | 0.56517 |
| earlier press briefing | 0.559061 |
| bisexual high school | 0.550512 |
| pregnant women | 0.445342 |
| hepatitis C-related deaths | 0.573174 |
| hepatitis C infection | 0.451427 |
| New preliminary data | 0.549913 |
| Preventive Services Task | 0.549618 |
| new CDC findings | 0.603615 |
| syringe services programs | 0.568274 |
| Additional information | 0.44513 |
| latest developments | 0.442936 |
| new CDC Vital | 0.619386 |
| troubling increase | 0.444252 |
| new data | 0.650481 |
| first-line antibiotic | 0.450579 |
| related infectious diseases | 0.546165 |
| South Africa | 0.446273 |
|
| vast majority | 0.442145 |
| 12th grades | 0.441595 |
| new cdc | 0.90663 |
| New CDC data | 0.848455 |
| decreased susceptibility | 0.451903 |
| effective treatment option | 0.550636 |
| U.S. Preventive Services | 0.544277 |
| reverse chronological order | 0.448028 |
| nationally representative study | 0.551842 |
| World TB | 0.441291 |
| viral hepatitis | 0.540835 |
| Vital Signs report | 0.549353 |
| sexual violence | 0.441974 |
| CDC researchers | 0.499405 |
| sterile needles | 0.4508 |
| Services Task Force | 0.550627 |
| high school students | 0.546681 |
| bisexual men | 0.441744 |
| promising sign | 0.441722 |
| gonorrhea cases | 0.463965 |
| unprecedented highs | 0.453956 |
| CDC Vital Signs | 0.816254 |
| latent tuberculosis infection | 0.555134 |
| liver cancer | 0.538667 |
|
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