| 880 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health Strategy | CDC Features |
CDC’s Global Health Strategy outlines how CDC will leverage its core strengths to advance four overarching global health goals in the areas of Health Impact, Health Security, Health Capacity, and Organizational Capacity. |
| CDC | 0.870392 |
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| longer lives | 0.492796 |
| global health | 0.939388 |
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| Health Security | 0.599259 |
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|
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| global health agenda | 0.596169 |
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Centers for Disease Control and Prevention |
Html |
en |
Racial/Ethnic Disparities in Fatal Unintentional DrowningAmong Persons Aged ?29 Years — United States, 1999–2010 |
Julie Gilchrist, MD1, Erin M. Parker, PhD1 (Author affiliations at end of text). |
| natural water settings | 0.835368 |
| United States | 0.451187 |
| age group | 0.318442 |
| overall drowning rate | 0.540216 |
| blacks | 0.477952 |
| true drowning risks | 0.426304 |
| overall drowning rates | 0.599595 |
| whites | 0.57209 |
| setting-specific drowning deaths | 0.482594 |
| 5-year age groups | 0.201491 |
| black children | 0.458632 |
| pool drowning | 0.536917 |
| American Indians/Alaska Natives | 0.435688 |
| racial/ethnic groups | 0.281894 |
| basic swimming skills | 0.936763 |
| high drowning rates | 0.483387 |
| fatal drowning rates | 0.459909 |
|
| unintentional injury death | 0.326238 |
| life jackets | 0.238189 |
| rates | 0.792938 |
| racial/ethnic drowning disparities | 0.478743 |
| rate ratios | 0.318917 |
| 2-year age groups | 0.200351 |
| overall drowning | 0.675153 |
| swimming pools | 0.70035 |
| age groups | 0.482393 |
| highest rates | 0.236426 |
| pool drowning rates | 0.509395 |
| fatal unintentional drowning | 0.685709 |
| young adults | 0.288192 |
| prevention strategies | 0.28594 |
| drowning rates | 0.717788 |
| ages | 0.331387 |
| age | 0.494938 |
|
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Centers for Disease Control and Prevention |
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en |
Racial/ethnic and socioeconomic disparities in health-related quality of life among people with coronary heart disease, 2007. |
null |
| quality health care | 0.475908 |
| study | 0.498838 |
| education | 0.494215 |
| mental health | 0.623854 |
| CHD patients | 0.533476 |
| age group | 0.498856 |
| differences | 0.49384 |
| Risk Factor Surveillance | 0.506007 |
| recent physical health | 0.487069 |
| annual household income | 0.562125 |
| significant differences | 0.49125 |
| CHD prevalence | 0.555645 |
| prevalence estimates | 0.520828 |
| general health | 0.513426 |
| similar prevalence estimates | 0.508135 |
| self-reported data | 0.486723 |
| unhealthy days measure | 0.50475 |
| unhealthy days measurements | 0.852037 |
| general health perceptions | 0.484442 |
| household size | 0.672397 |
| non-Hispanic whites | 0.575504 |
| HRQOL measurements | 0.517377 |
| General health status | 0.489303 |
|
| community-dwelling adults | 0.474619 |
| health insurance coverage | 0.799657 |
| multivariate logistic regression | 0.608277 |
| risk factors | 0.507252 |
| self-reported CHD | 0.961106 |
| non-hispanic blacks | 0.492402 |
| health care coverage | 0.505689 |
| people | 0.638503 |
| CHD report | 0.566778 |
| CHD status | 0.555784 |
| recent mental health | 0.487634 |
| fair/poor health status | 0.996962 |
| unfavorable HRQOL measurements | 0.486118 |
| chronic disease | 0.505 |
| multivariable adjustment | 0.475355 |
| HRQOL | 0.66574 |
| coronary heart disease | 0.615814 |
| logistic regression models | 0.559974 |
| Native Americans | 0.62558 |
| Behavioral Risk Factor | 0.506076 |
| lower HRQOL | 0.515113 |
| CHD | 0.963263 |
| women | 0.498436 |
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Centers for Disease Control and Prevention |
Html |
en |
Bat Influenza (Flu) |
Bat Influenza (Flu) - CDC |
| South America | 0.340263 |
| form bat flu | 0.358587 |
| CDC | 0.27535 |
| surface protein-coding gene | 0.23206 |
| Global Disease Detection | 0.230817 |
| Central | 0.229413 |
| high-throughput sequencing instruments | 0.230934 |
| new flu viruses | 0.40172 |
| CDC Rabies program | 0.243425 |
| Regional Center | 0.230747 |
| GDD Guatemala Regional | 0.232832 |
| single host cell | 0.234813 |
| pathogenic viruses | 0.284401 |
| new bat flu | 0.388209 |
| bat populations | 0.251686 |
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| human respiratory tract | 0.232166 |
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| little yellow-shouldered bats | 0.285597 |
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|
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| dangerous viruses | 0.291165 |
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| CDC’s Pathogen | 0.230309 |
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| bats | 0.295197 |
| flu researchers | 0.303897 |
| internal genes | 0.25942 |
| genetic information | 0.23186 |
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| CDC scientists | 0.264762 |
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| flu viruses | 0.958453 |
| HA surface proteins | 0.237191 |
| Universidad del Valle | 0.230245 |
| Flu scientists | 0.30037 |
| Pathogen Discovery Program | 0.297388 |
| NA surface proteins | 0.262456 |
| surface proteins | 0.281751 |
| ancient bat flu | 0.348958 |
| Initial viral screening | 0.229626 |
| bat influenza viruses | 0.339421 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Use of 13-Valent Pneumococcal Conjugate Vaccine and 23-Valent Pneumococcal Polysaccharide Vaccine for Adults with Immunocompromising Conditions: Recommendations of the Advisory Committee on Immunization Practices (ACIP) |
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. |
| 13-valent pneumococcal conjugate | 0.562264 |
| Pneumococcal vaccine-naУÐ?ve persons | 0.549516 |
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| vaccine efficacy | 0.684586 |
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| cochlear implants | 0.68499 |
| pneumococcal conjugate vaccine | 0.861952 |
| 7-valent pneumococcal conjugate | 0.590916 |
| previous PPSV23 dose | 0.617488 |
| persons | 0.589881 |
| current PPSV23 recommendations | 0.570256 |
| dose | 0.678622 |
| Conjugate pneumococcal vaccine | 0.609656 |
| PCV13 dose | 0.614379 |
| PCV13 vaccine efficacy | 0.648678 |
| high risk | 0.546941 |
| pneumococcal polysaccharide vaccine | 0.737038 |
| CSF leaks | 0.64147 |
| single dose | 0.583541 |
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| United States | 0.702259 |
|
| adults | 0.967119 |
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| HIV-infected adults | 0.861418 |
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| PPSV23 | 0.675988 |
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| IPD | 0.613935 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Cancer - Health Communication |
Cancer - Gateway to Health Communication - CDC |
| harmful sun exposure | 0.651035 |
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| American Cancer Society | 0.677655 |
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| children | 0.425052 |
| heart disease | 0.536855 |
| genetic predisposition | 0.541471 |
| chemicals | 0.424117 |
|
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| accumulation | 0.433196 |
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| Americans | 0.490618 |
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| people | 0.449094 |
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| ages | 0.425301 |
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| Spanish Version | 0.537785 |
| age | 0.425029 |
|
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Centers for Disease Control and Prevention |
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en |
Coronavirus - Related Materials - MERS-CoV - CDC |
CDC Coronavirus: Coronaviruses are common throughout the world. They can infect people and animals. Five different coronaviruses can infect people and make them sick. They usually cause mild to moderate upper-respiratory illness. |
| Müller MA | 0.340365 |
| MERS-CoV | 0.341197 |
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| respiratory distress syndrome | 0.378768 |
| Emerg Infect Dis. | 0.534094 |
| novel coronavirus | 0.49629 |
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| A. Middle East | 0.348696 |
| East Respiratory Syndrome. | 0.395971 |
| Lancet Infect Dis. | 0.338426 |
| World Health Organization | 0.344702 |
| coronavirus seroprevalence | 0.384241 |
| Syndrome Coronavirus Released | 0.432626 |
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|
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| Health Care Providers | 0.338852 |
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| MERS coronavirus | 0.440377 |
| public health | 0.357157 |
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| et al | 0.652569 |
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| CDC. Severe respiratory | 0.370715 |
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|
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Centers for Disease Control and Prevention |
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en |
Notes from the Field: Outbreak of Poliomyelitis - Somaliaand Kenya, May 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. |
| subsequent local transmission | 0.7019 |
| mmwrq@cdc.gov. | 0.627617 |
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| Public Health | 0.628777 |
| CDC | 0.658458 |
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| Human Services | 0.671276 |
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| MMWR HTML versions | 0.680671 |
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| Subsequent SIAs | 0.647689 |
| Genetic sequence analysis | 0.693066 |
| Banadir Region | 0.794436 |
| Kenya Ministry | 0.661786 |
| electronic PDF version | 0.68213 |
| subsequent SIA | 0.639359 |
|
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| Preventive SIAs | 0.633427 |
| WPV1 case | 0.623674 |
| fecal-oral contact | 0.603724 |
| Global Immunization Div | 0.715594 |
| additional cases | 0.635228 |
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| National Center | 0.668092 |
| World Health Organization | 0.884167 |
| Global Health | 0.617653 |
| subject line | 0.619304 |
| polio cases | 0.976862 |
| Contact GPO | 0.6113 |
| larger geographic area | 0.685811 |
| Somalia border | 0.684397 |
| acute flaccid paralysis | 0.713273 |
| polio supplementary immunization | 0.816733 |
| single introduction | 0.607489 |
| oral polio vaccine | 0.785462 |
| Somalia Ministry | 0.695336 |
| booster dose | 0.60973 |
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| West Africa | 0.607131 |
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Centers for Disease Control and Prevention |
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Daniel Payne | Conversations with the Director | CDC Director | CDC |
The CDC Director’s webpage offers information on Dr. Thomas Frieden, who became the agency’s 16th director in June 2009. The pages features information on Dr. Frieden’s Weekly Focus, the Latest from Dr. Frieden (his RSS feed), and links to his bio, statements, videos, press releases, media appearances, photos, presentations, and speeches. |
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|
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| page | 0.276773 |
|
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Centers for Disease Control and Prevention |
Video |
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Director's Briefing: Testing to Prevent Colon Cancer |
In this Director's Briefing video, CDC Director Dr. Tom Frieden talks about this month's Vital Signs, which reports that about 23 million adults (ages 50-75) have not gotten the life-saving tests they need to find colon cancer early. Testing is important. Every year, more than 50,000 Americans die from colon cancer -- yet testing could have found precancerous growths and saved lives. There are different types of screening tests, and people are encouraged to talk with their doctor about which test is right for them. The best test is the test that gets done.
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/vod.php?id=d55c30c1c09dba8b5ee32a7103ab317c20131104092453606 |
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|
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