| 1039 |
Centers for Disease Control and Prevention |
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Notes from the Field: Multistate Outbreak of ListeriosisLinked to Soft-Ripened Cheese - United States, 2013 |
Mary J. Choi, MD1,2, Kelly A. Jackson, MPH3, Carlota Medus, PhD1, Jennifer Beal, MPH4, Carrie E. |
| Mary J. Choi | 0.889485 |
| Listeria monocytogenes infections | 0.798193 |
| Carrie E. Rigdon | 0.764192 |
| Crave Brothers | 0.924582 |
| Coordinated Outbreak Response | 0.8109 |
| original MMWR paper | 0.738982 |
| U.S. Government Printing | 0.732868 |
| total case count | 0.733927 |
| Minnesota Department | 0.77728 |
| Evaluation Network | 0.752589 |
| Human Services | 0.72224 |
| Drug Administration | 0.80361 |
| outbreak PFGE pattern | 0.796307 |
| indistinguishable pulsed-field gel | 0.772021 |
| State Health Services | 0.752626 |
| Benjamin J. Silk | 0.761591 |
| U.S. Department | 0.736065 |
| MMWR HTML versions | 0.733366 |
| outbreak pattern | 0.719803 |
| Petit FrУЈre | 0.963446 |
| soft cheese consumption | 0.779532 |
| Kirk E. Smith | 0.756371 |
| certain soft cheeses | 0.769126 |
|
| outbreak-related cases | 0.741769 |
| electronic PDF version | 0.732305 |
| Pasteurization eliminates Listeria | 0.757446 |
| Zoonotic Infectious Diseases | 0.726978 |
| food exposure frequencies | 0.843633 |
| foodborne disease surveillance | 0.753502 |
| molecular subtyping network | 0.763733 |
| Kelly A. Jackson | 0.75409 |
| soft cheeses | 0.837902 |
| isolate upload date | 0.746774 |
| different grocery stores | 0.86472 |
| cheese-making facility | 0.719569 |
| L. monocytogenes | 0.772017 |
| Listeria Initiative* data | 0.762122 |
| Les FrУЈres | 0.82567 |
| cheese-making process | 0.786122 |
| Tami C. Cloyd | 0.767843 |
| original paper copy | 0.726525 |
| Brothers Farmstead Cheese | 0.807666 |
| sporadic listeriosis cases | 0.799318 |
| David C. Melka9 | 0.760484 |
| substantial sanitation deficiencies | 0.73496 |
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Community-Based Program to Prevent HIV/STD Infection Among Heterosexual Black Women |
Thomas M. Painter, PhD1. |
| Healthy Love | 0.913384 |
| new HIV infections | 0.398688 |
| HIV disparities | 0.410287 |
| women targeted women | 0.406705 |
| HIV prevention research | 0.387749 |
| non-Hispanic black women | 0.41493 |
| Healthy Love HIV | 0.459593 |
| appropriate HIV prevention | 0.400788 |
| HIV infections | 0.403826 |
| heterosexual black women | 0.497763 |
| behavioral HIV prevention | 0.393017 |
| HIV infection risks | 0.39356 |
| healthy love intervention | 0.614877 |
| HIV-related disparities | 0.429673 |
| black heterosexual women | 0.421277 |
| single-session HIV prevention | 0.39392 |
| intervention materials | 0.420289 |
| HIV sexual risk | 0.393586 |
| HIV risk | 0.394314 |
| highly interactive intervention | 0.387413 |
| hiv prevention interventions | 0.453745 |
| black women | 0.799591 |
| intervention analysis | 0.396375 |
| intervention delivery | 0.387301 |
| intervention effects | 0.385764 |
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| United States | 0.442245 |
| HIV transmission risk | 0.410809 |
| efficacious HIV prevention | 0.425357 |
| effective HIV prevention | 0.406743 |
| Evidence-Based HIV Prevention | 0.393452 |
| HIV prevention intervention | 0.577213 |
| Healthy Love workshop | 0.385464 |
| HIV protective actions | 0.390765 |
| single-session intervention | 0.387745 |
| U.S. black women | 0.400242 |
| newly reported HIV | 0.399564 |
| HIV prevention practices | 0.40268 |
| African American women | 0.402133 |
| HIV testing methods | 0.391214 |
| interactive group intervention | 0.398334 |
| Healthy Love participants | 0.468192 |
| HIV infection rate | 0.398742 |
| risk reduction intervention | 0.412228 |
| randomized controlled trial | 0.383953 |
| HIV | 0.583695 |
| National Black Women | 0.389515 |
| HIV testing | 0.426262 |
| HIV infection | 0.4705 |
| group-level HIV prevention | 0.398694 |
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Centers for Disease Control and Prevention |
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2009 H1N1: Overview of a Pandemic - Descriptions |
null |
| Neurocognitive Dis | 0.600422 |
| solid blue bars | 0.571199 |
| influenza disease activity | 0.586493 |
| H1N1 influenza vaccines | 0.602188 |
| site H1N1 Flu | 0.61654 |
| C. Human influenza | 0.59723 |
| Section 508-accessible version | 0.603257 |
| deaths | 0.569652 |
| Influenza B viruses | 0.568952 |
| Neuromuscular Dis | 0.657345 |
| influenza pandemic | 0.622895 |
| seasonal influenza | 0.555069 |
| condition | 0.87607 |
| new influenza virus | 0.568125 |
| stand-alone Web document | 0.600386 |
| seasonal flu viruses | 0.597608 |
| human-animal influenza | 0.565657 |
| pandemic disease levels | 0.564328 |
| generic influenza virion | 0.593932 |
| H1N1 web site | 0.643321 |
| child | 0.557064 |
| influenza | 0.786446 |
| potential pandemic threat | 0.555658 |
| general adult populations | 0.766113 |
|
| United States | 0.57072 |
| age group | 0.783282 |
| general population | 0.813617 |
| Flu Flu | 0.605619 |
| seasonal flu complications | 0.563127 |
| prevalence | 0.928773 |
| general adult population | 0.615736 |
| h1n1 flu | 0.645658 |
| bar chart | 0.588727 |
| influenza reassortant virus | 0.655839 |
| animal influenza virus | 0.596275 |
| new influenza | 0.574242 |
| flu-like symptoms | 0.570755 |
| Influenza A viruses | 0.593227 |
| Morbid Obesity** | 0.59409 |
| everyday preventive actions | 0.784516 |
| flu viruses | 0.613795 |
| regular human influenza | 0.595547 |
| H1N1 | 0.941088 |
| people | 0.696238 |
| flu | 0.747572 |
| different influenza virus | 0.673245 |
| influenza viruses | 0.589134 |
| influenza vaccine safety | 0.555536 |
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Centers for Disease Control and Prevention |
Html |
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Assessing Your Weight: Body Mass Index BMI |
BMI can be used to screen for weight categories that may lead to health problems but it is not diagnostic of the body fatness or health of an individual. Learn more. |
| body fatness | 0.634379 |
| BMI Calculator Widget | 0.813661 |
| adults | 0.352462 |
| professionals | 0.315184 |
| teens | 0.363434 |
| Information | 0.333242 |
| meters | 0.318128 |
| weight categories | 0.473987 |
| Excel spreadsheet | 0.389991 |
| number | 0.316709 |
| child care | 0.38636 |
| high BMI | 0.735528 |
| children | 0.374545 |
| Adult | 0.316118 |
| kilograms | 0.333208 |
| BMI percentile | 0.716167 |
| corresponding weight category | 0.471653 |
| Schools | 0.32667 |
|
| BMI | 0.943926 |
| corresponding BMI-for-age percentile | 0.484714 |
| height | 0.321415 |
| Body Mass Index | 0.787002 |
| individual | 0.316787 |
| CDC BMI-for-age growth | 0.463604 |
| reliable indicator | 0.402003 |
| CDC Child | 0.393282 |
| people | 0.315753 |
| BMI measurement | 0.661649 |
| square | 0.316135 |
| Index Calculator Widget | 0.542797 |
| BMI Tool | 0.655508 |
| health problems | 0.476971 |
| person | 0.316203 |
| Safeguards | 0.32088 |
| high body fatness | 0.547928 |
| school class room | 0.458109 |
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| 6539 |
Centers for Disease Control and Prevention |
Html |
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The Global Push toward Worldwide Eradication |
CDC Works For You 24/7 Protecting People - CDC Ramps up Support for Final Push in Global Polio Eradication Effort - On Wednesday, December 14, 2011, CDC Director Thomas R. Frieden, M.D., M.P.H., charged the entire CDC community to become active participants in an intensified strategy to eradicate polio, worldwide. The briefing followed Dr. Frieden’s December 2nd announcement activating CDC’s Emergency Operations Center for the agency’s partnership engagement through the Global Polio Eradication Initiative (GPEI). |
| global polio eradication | 0.952564 |
| CDC | 0.43928 |
| Angola | 0.418261 |
| national immunization | 0.529183 |
| wild poliovirus transmission | 0.599093 |
| supplementary doses | 0.522318 |
| IPV | 0.417229 |
| final push | 0.497508 |
| best effort | 0.494746 |
| Active surveillance | 0.499356 |
| Melinda Gates Foundation | 0.600221 |
| key strategies | 0.506391 |
| OPV | 0.4304 |
| children | 0.473385 |
| routine immunization | 0.531566 |
| Strategic Plan | 0.498786 |
| Rotary International | 0.508141 |
| Polio Eradication Initiative | 0.802874 |
| World Health Organization | 0.769945 |
| polio cases | 0.666212 |
| Democratic Republic | 0.493644 |
| Polio rates | 0.669279 |
| history | 0.41928 |
| UNICEF | 0.423647 |
| Congo | 0.417248 |
|
| polio transmission | 0.707696 |
| finish line | 0.495525 |
| specific focal area | 0.585752 |
| public health initiative | 0.621947 |
| Afghanistan | 0.417236 |
| High infant immunization | 0.619215 |
| lead technical partner | 0.593843 |
| Chad | 0.41649 |
| percent | 0.418225 |
| life | 0.417303 |
| polio-free countries | 0.501327 |
| Nigeria | 0.416998 |
| deadly disease | 0.492994 |
| major partners | 0.507683 |
| coverage | 0.417378 |
| expensive control measures | 0.576538 |
| GPEI’s strategy | 0.498799 |
| acute flaccid paralysis | 0.600514 |
| widespread polio | 0.720622 |
| oral polio vaccine | 0.95752 |
| time | 0.419122 |
| Dr. Frieden | 0.505635 |
| polio eradication efforts | 0.787508 |
| laboratory testing | 0.501699 |
|
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Average Annual Rate of Emergency Department Visits for Assault* Among Persons 18 or younger, United States, 2005-2010 |
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. | 0.50003 |
| Alternate Figure | 0.485891 |
| endorsement | 0.442887 |
| emergency department visits | 0.903259 |
| Human Services | 0.571446 |
| assistive technology | 0.506093 |
| homicide | 0.417889 |
| U.S. Department | 0.55932 |
| MMWR HTML versions | 0.551498 |
| children | 0.432139 |
| electronic PDF version | 0.549075 |
| e-mail | 0.436661 |
| injury | 0.429924 |
| Contact GPO | 0.497619 |
| commercial sources | 0.488229 |
| population | 0.453946 |
| current prices | 0.483982 |
| persons | 0.528628 |
| original paper copy | 0.551568 |
| assault | 0.543728 |
| United States | 0.491901 |
| original MMWR paper | 0.548781 |
| age group | 0.492037 |
| overall rate | 0.614683 |
|
| first-listed E-code | 0.497286 |
| assistance | 0.41791 |
| MMWR readers | 0.487111 |
| character translation | 0.484197 |
| file | 0.417999 |
| terrorism | 0.434834 |
| non-Hispanic blacks | 0.92455 |
| non-Hispanic whites | 0.911292 |
| late effect | 0.493863 |
| format errors | 0.482475 |
| subject line | 0.503884 |
| Health | 0.430708 |
| typeset documents | 0.4859 |
| trade names | 0.488286 |
| official text | 0.483242 |
| average annual rate | 0.611838 |
| non-CDC sites | 0.485452 |
| 6-year annual average | 0.578087 |
| confidence interval | 0.49951 |
| information | 0.41801 |
| Accommodation | 0.417785 |
| electronic conversions | 0.481111 |
| visit rate | 0.805293 |
| Hispanics | 0.508758 |
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Centers for Disease Control and Prevention |
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CDC Global Health - Polio - Updates on CDC's Polio Eradication Efforts - August 9, 2013 |
Polio is a crippling and potentially deadly infectious disease caused by a virus that spreads from person to person invading the brain and spinal cord and causing paralysis. CDC is a strategic partner in the overall effort to eradicate polio worldwide. |
| global polio eradication | 0.829999 |
| Large-scale polio vaccination | 0.4988 |
| GPEI partners | 0.363234 |
| polio eradication plans | 0.573513 |
| polio eradication | 0.97038 |
| Polio incidence | 0.475374 |
| polio outbreaks | 0.490794 |
| Chad | 0.362674 |
| public health volunteers | 0.361357 |
| Polio Eradication Effort | 0.611106 |
| wild poliovirus | 0.382066 |
| vaccination campaign planning | 0.366354 |
| CDC’s Emergency | 0.379718 |
| United Nations Children | 0.362553 |
| AFP cases | 0.35676 |
| polio eradication activities | 0.642631 |
| final push | 0.363803 |
| CDC Director Thomas | 0.410682 |
| Melinda Gates Foundation | 0.360838 |
| CDC resources | 0.374038 |
| polio worldwide | 0.495126 |
| Independent Monitoring Board | 0.357591 |
| EOC operational structure | 0.388382 |
| polio vaccination campaigns | 0.564808 |
|
| CDC’s engagement | 0.370129 |
| global polio surveillance | 0.51132 |
| entire CDC community | 0.402171 |
| Polio Eradication Initiative | 0.60632 |
| World Health Organization | 0.420026 |
| timely technical expertise | 0.361725 |
| polio eradication progress | 0.569088 |
| polio cases | 0.53291 |
| Democratic Republic | 0.362876 |
| in-country technical expertise | 0.361176 |
| CDC’s EOC | 0.399837 |
| polio vaccination campaign | 0.511805 |
| CDC’s polio | 0.530033 |
| Epidemiologic Record/CDC Morbidity | 0.359784 |
| enhanced capacity | 0.362326 |
| Polio Eradication Emergency | 0.567723 |
| CDC polio eradication | 0.67905 |
| polio surveillance | 0.557864 |
| technical expertise | 0.365264 |
| finish line | 0.360049 |
| endemic countries | 0.415821 |
| Dr. Frieden | 0.371476 |
| polio eradication efforts | 0.631688 |
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Health Promotion Materials for the Model Aquatic Health Code (MAHC) | Model Aquatic Health Code |
null |
| CDC | 0.530957 |
| United States | 0.648438 |
| injuries | 0.524578 |
| public swimming pools | 0.790703 |
| email address | 0.762987 |
| rules | 0.522709 |
| drowning | 0.536456 |
| state agencies | 0.641604 |
| variety | 0.538061 |
| pool chemical safety | 0.745061 |
| design | 0.522536 |
| Healthy Swimming website | 0.774685 |
| construction | 0.522507 |
| recreational water illnesses | 0.905211 |
| public health | 0.644379 |
| guide | 0.522998 |
| law | 0.522622 |
|
| topics | 0.53752 |
| water-related disease prevention | 0.762342 |
| RWIs | 0.615201 |
| resources | 0.538011 |
| healthy swimming/recreational water | 0.768985 |
| MAHC | 0.565995 |
| spread | 0.525906 |
| standards | 0.522579 |
| spa code | 0.637667 |
| Model Aquatic Health | 0.773863 |
| industry representatives | 0.648542 |
| regulations | 0.52268 |
| Submit | 0.527247 |
| spas | 0.571842 |
| page | 0.526601 |
| hot tubs | 0.64789 |
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Preventing A Million Heart Attacks and Strokes: A TurningPoint for Impact | Public Health Grand Rounds | CDC |
Million Hearts® is a national initiative to prevent heart attacks and strokes , which contribute to almost 800,000 deaths from cardiovascular disease each year. |
| Health Grand Rounds | 0.853336 |
| heart attacks | 0.919835 |
| Human Services | 0.223109 |
| policy approaches | 0.210276 |
| half-way mark | 0.217821 |
| Smoking cessation | 0.208828 |
| Hearts® | 0.214821 |
| statewide impact | 0.200985 |
| Deputy Scientific Director | 0.359536 |
| sustainable prevention | 0.223608 |
| federal agencies | 0.220075 |
| public health | 0.613172 |
| health care systems | 0.37724 |
| common goal | 0.214195 |
| cardiovascular events | 0.200442 |
|
| cardiovascular disease | 0.245806 |
| strokes | 0.253094 |
| tobacco policy efforts | 0.366346 |
| clinical care | 0.396311 |
| blood pressure control | 0.740926 |
| lower sodium products | 0.378093 |
| complex problem | 0.218276 |
| national initiative | 0.211286 |
| food supply | 0.215644 |
| better performance | 0.212538 |
| clinical care experts | 0.370905 |
| medical costs | 0.218398 |
| John Iskander | 0.206236 |
| impactful actions | 0.208641 |
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| 12523 |
Centers for Disease Control and Prevention |
Video |
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Austin/Travis County, Texas -- Tobacco Use Prevention |
Learn how Austin/Travis County, TX is working to reduce the burden of tobacco and save lives in their community.
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=c2dc1d2d63989ba60d37166d8c627cff20110622123902312 |
| Austin/Travis County | 0.757687 |
| Texas | 0.235518 |
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