| 1173 |
Centers for Disease Control and Prevention |
Html |
en |
Progress Toward Polio Eradication - Worldwide,2013-2014 |
Edna K. Moturi, MBChB1, Kimberly A. Porter, PhD2, Steven G. |
| global polio eradication | 0.535185 |
| supplementary immunization activities | 0.426768 |
| international spread | 0.392203 |
| certify polio eradication | 0.407187 |
| Western Pacific Region | 0.333305 |
| additional dose SIAs | 0.361121 |
| wpv cases | 0.924216 |
| Administered Tribal Areas | 0.394097 |
| WPV1 cases | 0.623361 |
| previously polio-free countries | 0.584642 |
| World Health Organization | 0.443014 |
| outbreak response | 0.383301 |
| Routine Vaccination Coverage | 0.348656 |
| Rudolf H. Tangermann | 0.331793 |
| WPV importation | 0.421882 |
| countries | 0.689295 |
| Federally Administered Tribal | 0.388968 |
| international exportation | 0.333277 |
| 3Polio Eradication Department | 0.330414 |
| address health worker | 0.333932 |
| International Health Regulations | 0.332098 |
| Indigenous WPV transmission | 0.361048 |
| Afghanistan | 0.411996 |
| polio eradication | 0.794557 |
|
| polio vaccine | 0.35023 |
| cVDPV cases | 0.330558 |
| wild poliovirus | 0.333765 |
| Equatorial Guinea | 0.44281 |
| Ousmane M. Diop | 0.334994 |
| WPV3 cases | 0.370552 |
| Current WPV transmission | 0.364016 |
| polio vaccination | 0.353845 |
| Middle East | 0.330802 |
| surveillance quality | 0.378514 |
| Pakistan | 0.434997 |
| Khyber Pakhtunkhwa province | 0.415734 |
| new outbreaks | 0.343936 |
| Nigeria | 0.422659 |
| currently polio-affected countries | 0.373207 |
| public health | 0.335615 |
| polio workers | 0.333231 |
| Edna K. Moturi | 0.442359 |
| WPV type | 0.401633 |
| Polio cases | 0.470755 |
| World Health Assembly | 0.43621 |
| recent WPV importation | 0.372018 |
| Polio Outbreaks | 0.358011 |
| Global Polio Laboratory | 0.40955 |
|
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| 4977 |
Centers for Disease Control and Prevention |
Html |
en |
Addressing the needs of the whole child: what public health can do to answer the education sector's call for a stronger partnership |
null |
| health education | 0.501599 |
| high school | 0.5561 |
| lower health literacy | 0.509009 |
| education | 0.608137 |
| public health interventions | 0.51214 |
| graduation rates | 0.58246 |
| public health problems | 0.518204 |
| health outcomes | 0.566962 |
| school health programs | 0.555553 |
| health disparities | 0.506649 |
| school | 0.674686 |
| quality school health | 0.524201 |
| public health department | 0.557842 |
| coordinated school health | 0.522367 |
| public health leaders | 0.526809 |
| high school graduation | 0.540075 |
| school health assessments | 0.522133 |
| school health program | 0.599343 |
| schools | 0.529314 |
| School Communities pilot | 0.506033 |
| school graduation rates | 0.541377 |
| public health agencies | 0.541158 |
| school health council | 0.522325 |
| academic achievement | 0.499241 |
|
| United States | 0.507028 |
| public health staff | 0.518853 |
| students | 0.504003 |
| school health activities | 0.533181 |
| local school health | 0.523974 |
| school-based health care | 0.49829 |
| public health community | 0.598357 |
| local health department | 0.504214 |
| health needs | 0.505487 |
| public health professionals | 0.62545 |
| public health | 0.997958 |
| health care | 0.52103 |
| School Health Index | 0.523589 |
| public health relationships | 0.519253 |
| current health needs | 0.499827 |
| Learning Compact Redefined | 0.690809 |
| evidence-based health program | 0.498646 |
| adolescent health persist | 0.513316 |
| public health data | 0.567211 |
| public health sector | 0.623199 |
| Healthy School Communities | 0.506881 |
| public health agency | 0.519178 |
| health program examples | 0.503408 |
| school health | 0.619795 |
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| 5315 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Finds Annual Estimated Cost of U.S. Crash-Related Deaths is $41 Billion - Press Release: May 11, 2011 |
CDC Finds Annual Estimated Cost of U.S. Crash-Related Deaths is $41 Billion |
| North Carolina | 0.631795 |
| license programs | 0.622508 |
| motorcycle crash | 0.626589 |
| passenger safety policies | 0.722522 |
| preventable costs | 0.662626 |
| teen crashes | 0.618195 |
| CDC Director Thomas | 0.782215 |
| motorcycle helmet laws | 0.717848 |
| Disease Control | 0.634055 |
| Dr. P.H. | 0.616199 |
| comprehensive graduated driver | 0.73375 |
| teen crash deaths | 0.791714 |
| National Center | 0.617459 |
| Injury Center | 0.623035 |
| crash deaths | 0.922718 |
| young lives | 0.618967 |
| seat belt laws | 0.729935 |
| motor vehicle safety | 0.724769 |
| cost findings | 0.639334 |
| health care costs | 0.77725 |
| lower total cost | 0.721813 |
| licensing laws | 0.616007 |
| Nations General Assembly | 0.72191 |
| seat belts | 0.857082 |
| Road Safety | 0.808507 |
|
| child safety seats | 0.757481 |
| Injury Prevention | 0.623177 |
| United States | 0.643847 |
| state-based costs | 0.692754 |
| vehicle crash-related deaths | 0.81645 |
| motor vehicle | 0.87195 |
| driver licensing | 0.713112 |
| state-based estimates | 0.651861 |
| size-appropriate child safety | 0.734314 |
| highest percentage | 0.617477 |
| passenger safety laws | 0.737557 |
| Make Roads Safe | 0.711493 |
| New York | 0.634112 |
| child passenger safety | 0.905072 |
| data analysis | 0.638773 |
| state costs | 0.677264 |
| R. Frieden | 0.629436 |
| new fact sheets | 0.724979 |
| comprehensive data | 0.641348 |
| loss costs | 0.873705 |
| comprehensive GDL systems | 0.734393 |
| percent decreases | 0.634103 |
| cost data | 0.626143 |
| motor vehicle crashes | 0.743886 |
|
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| 7441 |
Centers for Disease Control and Prevention |
Html |
en |
About Cancer Clusters |
About Cancer Clusters |
| address cancer clusters | 0.597771 |
| cancer statistics | 0.453949 |
| death | 0.326209 |
| http://www.cdc.gov/other.htm#states | 0.324581 |
| United States | 0.585132 |
| similar characteristic | 0.458824 |
| occupations | 0.330208 |
| possible causes | 0.435422 |
| complex nature | 0.454884 |
| local health department | 0.541129 |
| greater-than-expected number | 0.42986 |
| result | 0.366515 |
| division | 0.326764 |
| hazard | 0.331781 |
| state health department | 0.850352 |
| term | 0.326891 |
| results | 0.327925 |
| cancer cluster | 0.910836 |
| deaths | 0.328942 |
| group | 0.327958 |
|
| area | 0.324783 |
| types | 0.324 |
| uncontrollable cell growth | 0.594379 |
| cases | 0.342602 |
| external cause | 0.475078 |
| Follow-up investigations | 0.462957 |
| different diseases | 0.447205 |
| lives | 0.325263 |
| Americans | 0.324016 |
| community | 0.32494 |
| heart | 0.326102 |
| form | 0.325747 |
| cancer registry contact | 0.554584 |
| case definition | 0.432948 |
| response | 0.324385 |
| cancers | 0.375003 |
| health department gathers | 0.545859 |
| information | 0.381759 |
| Confirmation | 0.334422 |
| e.g. | 0.324017 |
|
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| 10860 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Smoke-Free-Home Rules Among Women With Infants, 2004–2008- CDC |
Exposure to secondhand smoke increases risk for infant illness and death. The objective of this study was to estimate the prevalence of complete smoke-free–home rules (smoking not allowed anywhere in the home) among women with infants in the United States. |
| well-baby visits | 0.39033 |
| demographic characteristics | 0.377963 |
| complete smoke-free–home rules | 0.757924 |
| following statements | 0.381111 |
| study states | 0.39121 |
| partial smoking restrictions | 0.384235 |
| infant | 0.386215 |
| non-Hispanic black women | 0.422057 |
| complete smoke-free–home rule | 0.401875 |
| Disease Control | 0.372905 |
| state health departments | 0.427335 |
| infants | 0.454203 |
| well-baby visit | 0.369631 |
| following question | 0.375791 |
| postpartum smoking status | 0.533108 |
| unmarried women | 0.378432 |
| women | 0.642117 |
| smoking prevalence | 0.388517 |
| prevalence ratios | 0.390697 |
| overall prevalence | 0.387771 |
| United States | 0.43211 |
| partial rules | 0.450898 |
| maternal smoking status | 0.396485 |
| Arkansas | 0.375505 |
| states | 0.433488 |
|
| prevalence | 0.484497 |
| potential correlates | 0.411247 |
| Pregnancy Risk Assessment | 0.405123 |
| maternal postpartum check-up | 0.412112 |
| PRAMS data collection | 0.375708 |
| public smoking restrictions | 0.372926 |
| final multivariable model | 0.390737 |
| PRAMS data | 0.456517 |
| previous live birth | 0.384662 |
| first-week health care | 0.440341 |
| public health | 0.375522 |
| health care visit | 0.433834 |
| smoke-free–home rules | 0.905561 |
| infant age | 0.375784 |
| secondhand smoke exposure | 0.674649 |
| complete rules | 0.645831 |
| birth certificate | 0.369846 |
| annual household income | 0.438601 |
| New Jersey | 0.585456 |
| secondhand smoke increases | 0.395997 |
| Chronic Disease Prevention | 0.380499 |
| previous live births | 0.388963 |
| home smoking rules | 0.433116 |
| Risk Assessment Monitoring | 0.400363 |
|
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| 11597 |
Centers for Disease Control and Prevention |
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Influenza Vaccination Coverage Among Pregnant Women - UnitedStates, 2013-14 Influenza Season |
Helen Ding, MD1, Carla L. Black, PhD1, Sarah Ball, ScD2, Sara Donahue, DrPH2, David Izrael MS2, Walter W. Williams, MD1, Erin D. |
| influenza infection | 0.358338 |
| pregnant patients | 0.247603 |
| influenza vaccination efficacy | 0.511683 |
| survey respondents | 0.242882 |
| influenza vaccination coverage | 0.534059 |
| attitudes | 0.249666 |
| questions | 0.240757 |
| panel members | 0.244496 |
| common reasons | 0.247888 |
| vaccination coverage | 0.66377 |
| pregnant women | 0.530513 |
| Internet panel survey | 0.351385 |
| vaccination resistance | 0.322838 |
| pregnant woman | 0.302596 |
| vaccination status | 0.348661 |
| clinician recommendations | 0.239683 |
| flu vaccination | 0.370003 |
| National Center | 0.240147 |
| non-hispanic black women | 0.278358 |
| lower vaccination coverage | 0.341849 |
| vaccination recommendations | 0.3219 |
| influenza vaccination period | 0.411259 |
| Internet panel surveys | 0.264094 |
| attitude | 0.259999 |
| clinician offer | 0.256255 |
|
| negative attitudes | 0.249473 |
| influenza vaccination safety | 0.442128 |
| higher vaccination coverage | 0.407434 |
| composite variable | 0.269036 |
| flu vaccine | 0.259779 |
| clinician reminder systems | 0.253844 |
| summary score | 0.312852 |
| adult vaccination services | 0.335597 |
| Pregnancy Risk Assessment | 0.252539 |
| lowest vaccination coverage | 0.349014 |
| influenza season | 0.423397 |
| influenza risk | 0.280327 |
| overall vaccination coverage | 0.348195 |
| incentives.* Pregnant women | 0.280501 |
| influenza vaccination | 0.933638 |
| clinician barriers | 0.239692 |
| clinician ability | 0.239859 |
| Survey Sampling International | 0.259013 |
| assess clinician recommendation | 0.26834 |
| clinician recommendation | 0.408694 |
| Internet panel | 0.373876 |
| opt-in Internet panel | 0.262714 |
| Risk Assessment Monitoring | 0.2533 |
| influenza season vaccination | 0.394439 |
|
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| 12592 |
Centers for Disease Control and Prevention |
Video |
en |
REACH- Community Diabetes Education Program -- Greater Lawrence Family Health Center, Massachusetts |
Hear a personal story about how a community diabetes education program helped a woman learn to better manage her diabetes medications.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod2.php?id=1241f02bcf492446f0552a6dd1166edf20130306101105062 |
| Program | 0.22669 |
| Health Center | 0.492814 |
| Massachusetts | 0.22485 |
|
| Community Diabetes Education | 0.975549 |
| Greater Lawrence Family | 0.92576 |
|
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| 13194 |
Centers for Disease Control and Prevention |
Html |
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Vital Signs: Leading Causes of Death, Prevalence of Diseasesand Risk Factors, and Use of Health Services Among Hispanics in theUnited States - 2009-2013 |
Kenneth Dominguez1, Ana Penman-Aguilar2, Man-Huei Chang1, Ramal Moonesinghe2, Ted Castellanos3, Alfonso Rodriguez-Lainz4, Richard Schieber5 (Author affiliations at end of text). |
| data | 0.501387 |
| health insurance | 0.571641 |
| higher prevalence | 0.521121 |
| Hispanic origin subgroup | 0.566081 |
| Puerto Ricans | 0.577821 |
| age-adjusted death rates | 0.498866 |
| Hispanic health | 0.524878 |
| Hispanic origin subgroups | 0.788396 |
| health insurance status | 0.50496 |
| whites | 0.593738 |
| health outcomes | 0.484687 |
| foreign-born Hispanics | 0.649509 |
| chronic liver disease | 0.599425 |
| lower death rates | 0.536145 |
| U.S. Hispanics | 0.555772 |
| hypertensive Hispanic women | 0.487577 |
| risk factors | 0.584434 |
| Hispanic origin | 0.979856 |
| U.S.-born Hispanics | 0.628864 |
| Hispanic origin groups | 0.55997 |
| health surveillance data | 0.483167 |
| Hispanic origin subpopulations | 0.492729 |
| higher death rates | 0.599627 |
| death rates | 0.757471 |
| chronic liver disease/cirrhosis | 0.553354 |
|
| United States | 0.649754 |
| hypertensive renal disease | 0.527554 |
| prevalence | 0.543958 |
| hypertensive Hispanic men | 0.485839 |
| data collection strategy | 0.483566 |
| self-reported disease prevalence | 0.51509 |
| heart disease | 0.599801 |
| health services | 0.501732 |
| Hispanic all-cause mortality | 0.489568 |
| self-reported smoking prevalences | 0.510158 |
| multiple Hispanic origin | 0.494815 |
| non-Hispanic whites | 0.48287 |
| health care | 0.572208 |
| public health | 0.517276 |
| national health estimates | 0.510844 |
| instances U.S.-born Hispanics | 0.554766 |
| Hispanic leading causes | 0.499741 |
| Hispanic life expectancy | 0.486775 |
| health | 0.64842 |
| Hispanic paradox | 0.480051 |
| higher prevalences | 0.481744 |
| culturally appropriate health | 0.480128 |
| systematic data collection | 0.481864 |
| analyzed health factors | 0.479359 |
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| 13732 |
Centers for Disease Control and Prevention |
Html |
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Hospital Actions Affect Breastfeeding Infographics | VitalSigns |
CDC Vital Signs - Hospital Actions Affect Breastfeeding |
| Best Fed Beginnings | 0.502146 |
| Graphic showing percentage | 0.585018 |
| infants | 0.302503 |
| Indian Country | 0.278139 |
| artificial nipples | 0.29888 |
| health care staff | 0.955606 |
| Baby-Friendly status | 0.519686 |
| support groups | 0.268433 |
| CDC support | 0.264188 |
| Indian Health Service | 0.480112 |
|
| Baby-Friendly hospital effort | 0.474858 |
| birth center | 0.267443 |
| pregnant women | 0.304839 |
| Successful Breastfeeding | 0.884174 |
| Exclusive Breastfeeding | 0.712166 |
| Practice rooming | 0.311202 |
| Help mothers | 0.337139 |
| Federal IHS hospitals | 0.617956 |
| breastfeeding policy | 0.649737 |
| Graphic showing percent | 0.520032 |
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| 13796 |
Centers for Disease Control and Prevention |
Html |
en |
Using Diverse Communication Strategies to Re-Engage Relapsed Tobacco Quitline Users in Treatment, New York State, 2014 |
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. |
| IVR recycling intervention | 0.510798 |
| previous quitline support | 0.497225 |
| quitline-supported quit attempt | 0.602457 |
| quit attempt | 0.960058 |
| long-term smokers | 0.527597 |
| final study sample | 0.509773 |
| high school education | 0.491398 |
| quitline support | 0.723629 |
| registry members | 0.493938 |
| young smokers | 0.485844 |
| cessation support | 0.483442 |
| communication channels | 0.477567 |
| quitline-assisted quit attempt | 0.653901 |
| previous quitline users | 0.476647 |
| previous quitline participants | 0.516447 |
| past quitline participants | 0.515819 |
| smoking cessation | 0.481236 |
| multiple quit attempts | 0.499641 |
| SMS | 0.491449 |
| intervention | 0.587571 |
| effect size | 0.478346 |
| study | 0.617667 |
| Roswell Park Cancer | 0.542403 |
| IVR | 0.560094 |
| new quitline-assisted quit | 0.646396 |
|
| smokers | 0.697193 |
| original study sample | 0.476379 |
| Older smokers | 0.482078 |
| cessation support services | 0.477467 |
| new quit attempt | 0.876247 |
| quitline services | 0.680753 |
| study sample | 0.533952 |
| quitline registry participants | 0.522227 |
| intervention sample | 0.582819 |
| re-initiate quitline support | 0.482548 |
| email | 0.495187 |
| participants | 0.577919 |
| quitline-assisted quit attempts | 0.512296 |
| Drug Abuse Institute | 0.4799 |
| Interactive Voice Response | 0.506915 |
| smokers experience | 0.483025 |
| chronic conditions | 0.478465 |
| Park Cancer Institute | 0.581016 |
| York State Smokers | 0.503718 |
| quit attempts | 0.515362 |
| comparison group | 0.618409 |
| IVR intervention | 0.494255 |
| younger smokers | 0.632966 |
| previous quit attempts | 0.501148 |
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