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Survey language preference as a predictor of meeting fruit and vegetable objectives among Hispanic adults in the United States, Behavioral Risk Factor Surveillance System, 2009. |
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| Higher dietary intake | 0.480788 |
| ethnic health disparities | 0.52597 |
| acculturation analysis | 0.480277 |
| vegetable consumption | 0.789732 |
| Risk Factor Surveillance | 0.477893 |
| acculturation effect | 0.475617 |
| ate vegetables | 0.466955 |
| median daily fruit | 0.466751 |
| vegetable screener | 0.503766 |
| health care access | 0.520207 |
| fruit juice | 0.471484 |
| greater acculturation | 0.471214 |
| Health Interview Survey | 0.52264 |
| vegetable consumption frequency | 0.492484 |
| Behavioral Risk Factor | 0.479653 |
| green salad | 0.531432 |
| United States | 0.593008 |
| fruit | 0.655917 |
| logistic regression analyses | 0.549667 |
| English survey language | 0.466864 |
| Healthy Eating Index | 0.467744 |
| Spanish language | 0.477985 |
| Diet Assoc | 0.475395 |
| acculturation | 0.605059 |
| vegetables | 0.56646 |
|
| English-speaking Hispanics | 0.718263 |
| greater language acculturation | 0.507417 |
| survey language preference | 0.905 |
| lower fruit consumption | 0.498369 |
| fewer Spanish-speaking Hispanics | 0.538751 |
| vegetable objective | 0.47704 |
| dietary intake | 0.509482 |
| fruits | 0.475074 |
| fruit objective | 0.474887 |
| non-Hispanic whites | 0.813699 |
| Healthy People | 0.587323 |
| total daily frequency | 0.466621 |
| multivariable logistic regression | 0.46778 |
| Spanish-speaking Hispanics | 0.68183 |
| BRFSS survey language | 0.478458 |
| vegetable intake | 0.53151 |
| fruit consumption | 0.528806 |
| annual household income | 0.529855 |
| 1-item language preference | 0.467145 |
| National Health Interview | 0.479496 |
| acculturation level | 0.470846 |
| Spanish language preference | 0.475143 |
| acculturation assessment instrument | 0.49164 |
| Hispanics | 0.75121 |
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Racial and ethnic disparities in the quality of diabetes care in a nationally representative sample. |
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| Medical Expenditure Panel | 0.59892 |
| high school | 0.499283 |
| data | 0.565689 |
| analytic sample | 0.502442 |
| health insurance status | 0.614625 |
| Hispanic patients | 0.530015 |
| coronary heart attack | 0.49856 |
| foot examination | 0.874887 |
| primary sampling units | 0.500971 |
| Asian patients | 0.504074 |
| health insurance coverage | 0.564568 |
| HbA1c tests | 0.734425 |
| racial/ethnic minority status | 0.525096 |
| body mass index | 0.50394 |
| patients | 0.812533 |
| white patients | 0.660239 |
| self-rated health status | 0.622478 |
| quality | 0.682487 |
| racial/ethnic disparities | 0.787055 |
| comorbid cardiovascular condition | 0.534921 |
| unique individuals | 0.547772 |
| MEPS Diabetes Care | 0.589321 |
| federal poverty level | 0.555066 |
| FPL | 0.535842 |
|
| Expenditure Panel Survey | 0.596808 |
| differences | 0.494216 |
| diabetes care | 0.975423 |
| racial/ethnic minority | 0.766681 |
| black patients | 0.538858 |
| special diabetes weights | 0.573806 |
| HbA1c test | 0.494588 |
| household component | 0.507394 |
| health care | 0.581561 |
| worse diabetes outcomes | 0.535913 |
| public health | 0.494387 |
| racial/ethnic minority patients | 0.627997 |
| health care systems | 0.50782 |
| racial/ethnic minority groups | 0.728609 |
| lower quality | 0.500211 |
| diabetes care management | 0.545782 |
| health | 0.753628 |
| diabetes complications | 0.497786 |
| diabetes tests | 0.503814 |
| eye examination | 0.730392 |
| diabetes management | 0.508263 |
| Comorbid cardiovascular conditions | 0.660703 |
| American Diabetes Association | 0.530677 |
| diabetes | 0.982062 |
|
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Centers for Disease Control and Prevention |
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National Epilepsy Awareness Month - November 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. |
| unprovoked seizures | 0.613937 |
| mmwrq@cdc.gov. | 0.577722 |
| endorsement | 0.471648 |
| Human Services | 0.661162 |
| assistive technology | 0.581886 |
| MMWR HTML versions | 0.67553 |
| U.S. Department | 0.657362 |
| electronic PDF version | 0.66192 |
| e-mail | 0.454342 |
| health-related quality | 0.561134 |
| timely referrals | 0.551073 |
| effective treatments | 0.556465 |
| Additional information | 0.554717 |
| Contact GPO | 0.581048 |
| rare instances | 0.563188 |
| common neurologic disorder | 0.707268 |
| commercial sources | 0.551332 |
| current prices | 0.545845 |
| persons | 0.479815 |
| health literacy | 0.562679 |
| original paper copy | 0.657449 |
| better data | 0.555043 |
| epilepsy care | 0.740312 |
| cultural considerations | 0.553386 |
|
| stigma | 0.432488 |
| United States | 0.562803 |
| original MMWR paper | 0.669879 |
| U.S. Government Printing | 0.661306 |
| Superintendent | 0.427618 |
| assistance | 0.428392 |
| Delayed recognition | 0.563639 |
| subsequent inadequate treatment | 0.702557 |
| MMWR readers | 0.558136 |
| character translation | 0.543451 |
| file | 0.428555 |
| National Epilepsy Awareness | 0.902594 |
| Medicine report | 0.557071 |
| format errors | 0.546617 |
| migraine | 0.428363 |
| subject line | 0.566946 |
| typeset documents | 0.553309 |
| trade names | 0.551444 |
| official text | 0.541588 |
| additional seizures | 0.604719 |
| prevalent conditions | 0.569368 |
| non-CDC sites | 0.549883 |
| Accommodation | 0.426756 |
| electronic conversions | 0.541787 |
|
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PanFlu Storybook - I Survived, Jeanne Shinnick |
I Survived, The staggering statistics associated with pandemics sometimes makes it difficult to remember that each number represents a single, human life. In this section, survivors share their intimate recollections of either their own illness or that of a loved one. All these storytellers are 90-plus years of age and they have carried with them for a lifetime their memories of the 1918 flu pandemic. |
| Mom′s Florida neighborhood | 0.759659 |
| water level | 0.583103 |
| 30 years after | 0.351679 |
| vigil | 0.360669 |
| pond′s level | 0.561407 |
| mom | 0.908127 |
| pandemic | 0.441385 |
| father′s suicide | 0.57927 |
| vicious sickness | 0.592081 |
| neighbors | 0.357025 |
| mother′s sons | 0.555566 |
| weather | 0.352153 |
| eyewitness | 0.357962 |
| Hurricane Jeanne | 0.568609 |
| entire family | 0.574061 |
| porch | 0.358433 |
| past | 0.350494 |
| impending Apocalypse | 0.607614 |
| Pennsylvania | 0.358933 |
| brother | 0.475967 |
| corruption | 0.361502 |
| pond | 0.605785 |
| phone calls | 0.587421 |
| politics | 0.35317 |
| woman | 0.350175 |
|
| old house | 0.55342 |
| Shinnick | 0.398993 |
| bodies | 0.397853 |
| big worry | 0.611297 |
| natural world | 0.588502 |
| conversations | 0.356407 |
| patio | 0.356127 |
| small town | 0.570824 |
| horrid four-year period | 0.855065 |
| street | 0.397593 |
| Storyteller | 0.363557 |
| crime | 0.353104 |
| event | 0.350253 |
| World War | 0.573171 |
| threatening world | 0.560573 |
| dots | 0.361118 |
| sure sign | 0.599149 |
| professional worrier | 0.627066 |
| external world | 0.580806 |
| way | 0.350913 |
| home | 0.351563 |
| pulpit | 0.366901 |
| older trauma | 0.582735 |
| Mom′s hydrological fixation | 0.84264 |
|
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Resources | Chikungunya virus | CDC |
Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| South America | 0.236152 |
| Trop Med Hyg. | 0.383406 |
| Public Health Officials | 0.267062 |
| Disease Prevention | 0.233877 |
| Chikungunya Virus Spreads | 0.55874 |
| Laven JJ | 0.266412 |
| Chikungunya fact sheets | 0.493869 |
| X. Chikungunya fever | 0.470277 |
| CDC Health Advisory | 0.289936 |
| Kosoy OL | 0.258682 |
| Emerg Infect Dis. | 0.271726 |
| CDC. Notes | 0.239455 |
| Reporting Chikungunya Virus | 0.532632 |
| Lancet Infect Dis. | 0.26956 |
| World Health Organization | 0.314243 |
| CDC. Chikungunya | 0.539901 |
| CDC Travel Notice | 0.290046 |
| Lamballerie X. Chikungunya | 0.537342 |
| Clin Infect Dis. | 0.323668 |
| Communication Tool Kit | 0.260064 |
| Infect Dis. | 0.336549 |
| Chikungunya Virus Introduction | 0.557853 |
| Yellow Book | 0.234583 |
| American Health Organization | 0.347295 |
|
| chikungunya infection | 0.446371 |
| Household Investigations | 0.234494 |
| CDC. Chikungunya Cases | 0.533999 |
| Americas | 0.237579 |
| United States | 0.329033 |
| Re–emerging Disease | 0.234088 |
| chikungunya virus | 0.933999 |
| Pan American Health | 0.349111 |
| Communication Activity webinar | 0.261945 |
| Wkly Epidemiol Rec. | 0.253561 |
| re-emerging infectious disease | 0.25533 |
| Travelers Returning | 0.24095 |
| Chikungunya Fever Diagnosed | 0.554458 |
| CDC. Chikungunya Fever | 0.52633 |
| Expert Rev Vaccines. | 0.252907 |
| chikungunya fever | 0.6866 |
| chikungunya virus infection | 0.556968 |
| Soc Trop Med | 0.272915 |
| CDC Clinician Outreach | 0.280331 |
| CDC Press Release | 0.283013 |
| International Travelers | 0.263118 |
| Osorio JE | 0.238047 |
| CDC. Update | 0.235017 |
| Rajapakse A. Atypical | 0.255382 |
|
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CDC data show limited progress in reducing foodborne infections in 2013 | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| baseline period | 0.514846 |
| foodborne infections | 0.748712 |
| food safety problems | 0.65428 |
| USDA’s Food | 0.539671 |
| food importers | 0.545957 |
| FoodNet | 0.745794 |
| state health departments | 0.747773 |
| U.S. Food | 0.555887 |
| culture�independent diagnostic tests | 0.568232 |
| FDA Food Safety | 0.656231 |
| campylobacter infections | 0.590859 |
| Salmonella Action Plan | 0.625365 |
| Foodborne Diseases Active | 0.67337 |
| Vibrio infections | 0.595153 |
| annual report card | 0.617152 |
| raw shellfish | 0.506701 |
| CDC’s Division | 0.53478 |
| foodborne illness | 0.737243 |
| FoodNet sites | 0.661878 |
| recent progress | 0.508835 |
| Environmental Diseases | 0.50636 |
| third-party auditors/certification bodies | 0.577661 |
| FoodNet surveillance | 0.658306 |
| Public Health Science | 0.589932 |
| food inspection | 0.556598 |
|
| cut-up poultry parts | 0.590859 |
| active tracking | 0.508407 |
| important public health | 0.62045 |
| United States | 0.515693 |
| Vibrio vulnificus | 0.539569 |
| animal food production | 0.628326 |
| foodborne germs | 0.609884 |
| salmonella rates | 0.555809 |
| bacterial enteric infection | 0.563416 |
| New standards | 0.508063 |
| salmonella infections | 0.630035 |
| CDC data | 0.549715 |
| food industry | 0.712305 |
| Shiga toxin-producing O157 | 0.574031 |
| food facilities | 0.551692 |
| food poisoning | 0.542308 |
| food safety grades | 0.686371 |
| produce farms | 0.507083 |
| unpasteurized milk | 0.576027 |
| FoodNet tracks | 0.685067 |
| food safety | 0.91386 |
| food transporters | 0.550997 |
| unsuspected foods | 0.510908 |
| dairy products | 0.507268 |
|
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Nations Commit to Accelerating Progress against Infectious Disease Threats |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| CDC Director | 0.464636 |
| health emergencies.CDC | 0.478673 |
| national biosecurity systems | 0.484983 |
| partner countries | 0.457013 |
| infectious disease threats | 0.783737 |
| Acting Deputy Secretary | 0.502077 |
| zoonotic disease transmission | 0.485984 |
| World Organization | 0.463158 |
| Secretary Sebelius | 0.462004 |
| health security capacities | 0.532779 |
| national infectious disease | 0.501542 |
| U.S. government officials | 0.485142 |
| great progress | 0.461285 |
| security communities | 0.464221 |
| World Health Organization | 0.544685 |
| recent outbreaks | 0.454524 |
| Human Services Secretary | 0.517451 |
| Health Security goals | 0.526865 |
| countries | 0.470463 |
| Homeland Security | 0.47176 |
| laboratory systems | 0.489046 |
| Agriculture Chief Veterinary | 0.4834 |
| increase routine immunization | 0.477509 |
| global partners | 0.464167 |
| health emergency operations | 0.520135 |
|
| State Heather Higginbottom | 0.481197 |
| health security demonstration | 0.539564 |
| global health security | 0.995215 |
| Health Security Agenda | 0.731849 |
| United States | 0.660342 |
| emergency operations centers | 0.564041 |
| U.S. government | 0.522388 |
| Agriculture Secretary Tom | 0.501368 |
| Deputy Defense Secretary | 0.502444 |
| additional countries | 0.45732 |
| health emergency management | 0.516271 |
| public health emergency | 0.587055 |
| Dr. Tom Frieden | 0.494849 |
| U.S. government commitment | 0.485449 |
| Defense Christine Fox | 0.484446 |
| successful CDC efforts | 0.499717 |
| Middle East Respiratory | 0.48803 |
| Officer John Clifford | 0.478953 |
| biological threats | 0.468998 |
| Agriculture Organization | 0.459167 |
| new diagnostic tests | 0.484631 |
| health electronic reporting | 0.509031 |
| progress | 0.463409 |
| Animal Health | 0.489803 |
|
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Centers for Disease Control and Prevention |
Video |
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VAE, VAP and PNEU Definition Changes for 2015 |
This Hot Topics presentation will provide you with updates to Ventilator Associated Event, or VAE, and Pneumonia and Ventilator Associated Pneumonia, or VAP, reporting protocols for 2015.
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=b496413f1cd2989d00faa51af931da4020141119125437234 |
| VAP | 0.852337 |
| PNEU Definition Changes | 0.995269 |
|
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| 14030 |
Centers for Disease Control and Prevention |
Html |
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Prevalence of Excess Sodium Intake in the United States -NHANES, 2009-2012 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
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CLICK HERE |
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Centers for Disease Control and Prevention |
Html |
en |
Antiviral Drug Supply |
Antiviral Drug Supply - CDC |
| 2016-2017 flu season | 0.818635 |
| area | 0.25235 |
| antiviral supply | 0.642628 |
| CDC | 0.274428 |
| influenza antiviral drugs | 0.989563 |
| Manufacturers | 0.261373 |
| patients | 0.25557 |
| FDA web site | 0.730569 |
| Information | 0.251481 |
|
| demand | 0.281152 |
| respect | 0.271164 |
| shelf | 0.281164 |
| advance | 0.265293 |
| shortage | 0.297752 |
| pharmacy | 0.452846 |
| sufficient product | 0.56253 |
| stock | 0.252021 |
|
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