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Centers for Disease Control and Prevention |
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New Report Cites Benefits of Flu Vaccine Yet More Than Half of Americans Remain Unvaccinated |
New Report Cites Benefits of Flu Vaccine Yet More Than Half of Americans Remain Unvaccinated - CDC |
| 2012-2013 influenza vaccine | 0.302614 |
| CDC | 0.453841 |
| Mortality Weekly Report | 0.246298 |
| public health interventions | 0.202508 |
| severe flu | 0.339158 |
| fewer influenza cases | 0.254018 |
| flu activity | 0.282072 |
| 52 million influenza illnesses and 24 | 0.444472 |
| pregnant women | 0.214174 |
| 2013-2014 flu season | 0.406135 |
| season | 0.817406 |
| flu vaccination | 0.979825 |
| health care providers | 0.664123 |
| high hospitalization rates | 0.21981 |
| Influenza Hospitalization Surveillance | 0.246204 |
| estimates | 0.349328 |
| yearly flu vaccination | 0.561468 |
| CDC Urges | 0.213685 |
| Healthmap Vaccine Finder | 0.203621 |
| MMWR report | 0.3839 |
| illness flu | 0.279434 |
| season vaccination coverage | 0.436805 |
| flu illnesses | 0.370461 |
| lower vaccination rates | 0.374757 |
|
| influenza-associated illnesses | 0.237327 |
| flu vaccine | 0.54973 |
| flu vaccination coverage | 0.586587 |
| flu-associated hospitalizations | 0.267618 |
| flu-related hospitalizations | 0.275933 |
| vaccination levels | 0.303864 |
| National Influenza Vaccination | 0.618357 |
| flu vaccine location | 0.385888 |
| flu vaccine options | 0.387189 |
| flu vaccination activity | 0.581441 |
| flu seasons | 0.287187 |
| flu vaccinations | 0.288436 |
| single flu season | 0.413404 |
| people | 0.413669 |
| flu | 0.997326 |
| program impact data | 0.225775 |
| medically attended illnesses | 0.278817 |
| hospitalization rates | 0.293312 |
| CDC MMWR report | 0.280613 |
| flu season | 0.768491 |
| additional hospitalizations | 0.289494 |
| benefits flu vaccine | 0.476202 |
| hospitalizations | 0.621612 |
| high vaccination rates | 0.388081 |
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Centers for Disease Control and Prevention |
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CDC Releases Youth Risk Behaviors Survey Results | CDC Features |
CDC releases new data on health risk behaviors among high school students. Learn more about working with teens to help them establish healthy behaviors. |
| CDC releases | 0.246189 |
| practice skills | 0.245289 |
| new products | 0.238306 |
| health risk behaviors | 0.501384 |
| sexually active students | 0.284239 |
| urban school districts | 0.33662 |
| percentage | 0.26137 |
| Youth Risk Behavior | 0.336721 |
| unintended pregnancy | 0.238113 |
| social services | 0.237689 |
| National YRBS results | 0.271524 |
| healthy lifestyle | 0.241048 |
| physical fighting | 0.238828 |
| National YRBS data | 0.268322 |
| National Youth Risk | 0.280649 |
| sexual intercourse | 0.23877 |
| lowest levels | 0.241146 |
| significant decrease | 0.23964 |
| new challenges | 0.241078 |
| U.S. high school | 0.279432 |
| sexually transmitted diseases | 0.270308 |
| current cigarette | 0.241079 |
| Significant progress | 0.238191 |
| new data | 0.278461 |
| unhealthy dietary behaviors | 0.301771 |
|
| Survey findings | 0.23881 |
| sexual risk behaviors | 0.305894 |
| wide range | 0.237851 |
| Behavior Survey | 0.240263 |
| large urban school | 0.337491 |
| priority health risk | 0.327806 |
| United States | 0.279288 |
| sexual behaviors | 0.265786 |
| unhealthy behaviors | 0.310323 |
| young people | 0.245614 |
| new YRBS report | 0.273076 |
| cigarette smoking | 0.239858 |
| critical role | 0.244313 |
| sedentary related behaviors | 0.300825 |
| federal agencies | 0.237783 |
| New results | 0.241896 |
| national nongovernmental organizations | 0.269427 |
| National YRBS | 0.291377 |
| high school students | 0.92831 |
| safety concerns | 0.238506 |
| lifelong healthy behaviors | 0.316454 |
| physical fight | 0.238723 |
| mixed results | 0.239156 |
| Risk Behavior Surveillance | 0.267922 |
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Centers for Disease Control and Prevention |
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Parent's Guide to Hearing Loss, Speech Reading - NCBDDD |
Hearing loss can affect a child’s ability to develop communication, language, and social skills. The earlier children with hearing loss start getting services, the more likely they are to reach their full potential. If you are a parent and you suspect your child has hearing loss, trust your instincts and speak with your child’s doctor. Don’t wait! |
| English language | 0.540582 |
| bop | 0.358281 |
| mirror | 0.350791 |
| reader | 0.344574 |
| 12-word sentence | 0.53459 |
| adults | 0.34392 |
| mop | 0.35969 |
| example | 0.34546 |
| pop | 0.34566 |
| sounds | 0.347332 |
| building block | 0.912415 |
| auditory training | 0.517892 |
| Exaggerated mouth movements | 0.761263 |
| building blocks | 0.504606 |
| Children | 0.343956 |
|
| combination | 0.344451 |
| normal way | 0.517921 |
| words | 0.398284 |
| lip reading | 0.547441 |
| loud voice | 0.524337 |
| Babies | 0.344989 |
| face | 0.541028 |
| lips | 0.358837 |
| speech | 0.605696 |
| speaker | 0.543625 |
| well-lit room | 0.538884 |
| good speech | 0.494101 |
| good conditions | 0.526048 |
| hearing loss | 0.56079 |
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Centers for Disease Control and Prevention |
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Director's Briefing: Foodborne Illness from Listeria |
In this Director's Briefing video, CDC Director Dr. Tom Frieden talks about the latest Vital Signs report on Listeria (www.cdc.gov/vitalsigns/) -- a leading cause of death from food poisoning. Listeria is dangerous and can hide in soft cheeses, cantaloupe, sprouts -- foods that are not usually cooked to kill the germs. Listeria can also be deadly. Pregnant women, newborns, young children, people over 65, and those with weakened immune systems are especially vulnerable.
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=bcbdfdd454935bce172f430d43dba42220130603094940937 |
| Foodborne Illness | 0.981996 |
| Listeria | 0.802709 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Challenges in Meeting Healthy People 2020 Objectives for Cancer-Related Preventive Services, National Health Interview Survey, 2008 and 2010 - CDC |
Healthy People (HP) is the US program that formulates and tracks national health objectives for the nation. The National Health Interview Survey (NHIS) is a designated data source for setting and evaluating several HP targets in cancer. We used data from the 2008 and 2010 NHIS to provide a benchmark for national performance toward meeting HP 2020 cancer-related objectives. |
| non-Hispanic Asians | 0.487025 |
| health insurance | 0.874832 |
| health care provider | 0.582445 |
| HP | 0.559491 |
| overall population | 0.495675 |
| National Health Interview | 0.620282 |
| private health insurance | 0.541061 |
| health insurance status | 0.539457 |
| health care reform | 0.498656 |
| colorectal cancer screening | 0.709654 |
| HP cancer control | 0.497516 |
| health care providers | 0.485156 |
| health care access | 0.619678 |
| health insurance coverage | 0.672713 |
| ovarian cancer | 0.543561 |
| HP cancer goals | 0.495401 |
| cervical cancer screening | 0.588712 |
| Health Interview Survey | 0.622622 |
| public health insurance | 0.516104 |
| Affordable Care Act | 0.484674 |
| healthy people | 0.526417 |
| cancer genetic counseling | 0.484498 |
| preventive health services | 0.505893 |
| usual source | 0.811946 |
| women | 0.544457 |
|
| NHIS | 0.555291 |
| Prostate cancer screening | 0.505033 |
| clinical health care | 0.501168 |
| cancer screening | 0.997731 |
| proportion | 0.485308 |
| United States | 0.537443 |
| Cancer Epidemiol Biomarkers | 0.555535 |
| provider counseling | 0.580882 |
| percentage points | 0.730041 |
| genetic counseling | 0.57685 |
| cancer screening rates | 0.531932 |
| national health objectives | 0.495303 |
| health services | 0.521002 |
| National Cancer Institute | 0.529519 |
| Epidemiol Biomarkers Prev | 0.540726 |
| health care | 0.70175 |
| public health | 0.608348 |
| breast cancer screening | 0.568043 |
| HP objectives | 0.537624 |
| cancer screening tests | 0.586363 |
| Klabunde CN | 0.490758 |
| primary care | 0.494984 |
| blood stool test | 0.527207 |
| preventive services | 0.525774 |
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Centers for Disease Control and Prevention |
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Meningococcal | Age as a Risk Factor | CDC |
As children reach their preteen and adolescent years, protection provided by some childhood vaccines can begin to wear off. As a result, pre-teens and adolescents are at a greater risk for catching certain diseases. |
| meningococcal vaccine | 0.600796 |
| CDC | 0.47629 |
| United States | 0.445327 |
| protection | 0.353908 |
| Infants | 0.330931 |
| Page | 0.327196 |
| teens | 0.461818 |
| preteen vaccines | 0.450065 |
| children | 0.359945 |
| meningococcal conjugate vaccine | 0.756739 |
| olds | 0.371269 |
| Multiple doses | 0.445293 |
| clinicians | 0.330286 |
| Spanish | 0.32493 |
| meningococcal conjugate | 0.765373 |
| meningococcal vaccination recommendations | 0.681477 |
| preteens | 0.394173 |
|
| meningococcal conjugate vaccines | 0.756841 |
| peak | 0.330881 |
| flyers | 0.325389 |
| highest rates | 0.59624 |
| PSAs | 0.338739 |
| meningococcal disease | 0.947979 |
| English | 0.324955 |
| highest risk | 0.456504 |
| booster dose | 0.448842 |
| serogroup | 0.340742 |
| young adults | 0.704722 |
| vaccine brand | 0.437405 |
| adolescence | 0.338345 |
| ages | 0.325735 |
| time | 0.326192 |
| preventive services | 0.441666 |
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Multistate outbreak of hepatitis A infection linked topomegranate seeds from Turkey | Advanced Molecular Detection (AMD) |
Advanced molecular detection (AMD) methods helped CDC and the U.S. Food and Drug Administration link a multistate outbreak of hepatitis A infection to pomegranate seeds from Turkey |
| CDC | 0.742793 |
| molecular detection methods | 0.656187 |
| virus genotype | 0.529029 |
| advanced analytic methods | 0.696075 |
| source | 0.333268 |
| funded work | 0.520063 |
| far-reaching effort | 0.541282 |
| action | 0.370485 |
| Local public health | 0.661964 |
| U.S. Food | 0.501465 |
| infectious disease outbreaks | 0.71339 |
| retail chain | 0.496352 |
| outbreak spread | 0.687136 |
| shipment | 0.337306 |
| viral strain | 0.518957 |
| analysis | 0.33533 |
| samples | 0.370155 |
| record time | 0.496478 |
| Turkey | 0.333298 |
| pomegranate seeds | 0.536202 |
| recipients | 0.333884 |
| berry blend product | 0.694525 |
| automated technology | 0.507299 |
| Scientists | 0.335648 |
|
| Advanced molecular detection | 0.923156 |
| information FDA | 0.518695 |
| United States | 0.507614 |
| Drug Administration | 0.501281 |
| bioinformatics capabilities | 0.535535 |
| strains | 0.341812 |
| precaution | 0.35449 |
| previous methods | 0.508114 |
| public announcement | 0.491543 |
| national chain store | 0.694772 |
| genetic sequencing methods | 0.774557 |
| cases | 0.369715 |
| infectious disease outbreak | 0.95181 |
| hepatitis | 0.388191 |
| people | 0.370146 |
| shipments | 0.336933 |
| AMD funding | 0.582234 |
| pomegranate seed distributors | 0.683563 |
| significant leap | 0.53967 |
| specific strain | 0.5156 |
| outbreak investigation data | 0.85031 |
| AMD program | 0.593915 |
| genome sequencing | 0.543847 |
| responses | 0.338281 |
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Centers for Disease Control and Prevention |
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¿Tiene un alto riesgo deenfermarse gravemente a causa de la influenza? |
Algunas personas están en alto riesgo de presentar complicaciones graves a causa de la influenza (gripe), incluidos los niños pequeños, las personas de edad avanzada, las mujeres embarazadas y aquellos que tienen ciertas afecciones. La vacuna contra la influenza y el uso correcto de medicamentos antivirales contra la influenza son muy importantes para esas personas. |
| Archivo Apple Quicktime | 0.564291 |
| posibles complicaciones | 0.546619 |
| revista pediatrics | 0.507592 |
| Archivo Microsoft PowerPoint | 0.577039 |
| Archivo Adobe PDF | 0.562887 |
| alto riesgo | 0.52818 |
| amplias investigaciones | 0.523983 |
| Estados Unidos | 0.513179 |
|
| Archivo Microsoft | 0.760538 |
| Archivo Microsoft Word | 0.575132 |
| raras excepciones | 0.528348 |
| influenza causa decenas | 0.918876 |
| largo plazo | 0.513505 |
| Archivo Zip Comprimido | 0.562249 |
| obstructiva crónica | 0.5257 |
| larga duración | 0.520218 |
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Centers for Disease Control and Prevention |
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Norovirus | Outbreaks Reported to NoroSTAT, Data | CDC |
chart showing number of cases of norovirus outbreaks. |
| *Incomplete outbreak data | 0.893782 |
| National Outbreak Reporting | 0.988592 |
| comparison | 0.253345 |
| NORS | 0.261968 |
| Illness Onset | 0.585789 |
| health department records | 0.769592 |
|
| start | 0.260062 |
| Confirmed Norovirus Outbreaks | 0.985753 |
| State Health Departments | 0.856171 |
| NoroSTAT network | 0.696552 |
| Virginia | 0.207286 |
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Centers for Disease Control and Prevention |
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Monitoring of Persons with Risk for Exposure to Ebola Virus- United States, November 3, 2014-December 27, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| CDC | 0.716048 |
| CDC guidance | 0.494778 |
| Human Services | 0.397926 |
| freely associated states | 0.480605 |
| territorial health departments | 0.475467 |
| U.S. Department | 0.387272 |
| New York City | 0.811979 |
| territorial health authorities | 0.3771 |
| potential Ebola exposure | 0.578542 |
| jurisdictions | 0.444971 |
| World Health Organization | 0.475297 |
| incoming travelers | 0.415446 |
| CDC’s State | 0.416371 |
| direct active monitoring | 0.533682 |
| Report Ebola kits | 0.438959 |
| monitoring | 0.79848 |
| public health officials | 0.457291 |
| Weekly aggregate monitoring | 0.419308 |
| travelers | 0.444834 |
| CDC’s movement | 0.365792 |
| persons | 0.943838 |
| public health practice | 0.39061 |
| international public health | 0.385766 |
| individual-level daily reporting | 0.476348 |
| public health response | 0.392407 |
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| CDC’s modification | 0.360926 |
| Ebola | 0.790752 |
| active monitoring | 0.541021 |
| Ebola virus disease | 0.589382 |
| low risk | 0.473143 |
| monitoring period | 0.510112 |
| entry risk assessment | 0.359502 |
| United States | 0.992661 |
| State Coordination Task | 0.436193 |
| monitoring/direct active monitoring | 0.397422 |
| local health department | 0.368508 |
| health care workers | 0.585081 |
| local health departments | 0.366888 |
| public health | 0.672446 |
| 50 states | 0.362067 |
| Monitoring Unit | 0.378506 |
| U.S. monitoring | 0.380369 |
| epidemiologic risk category | 0.361539 |
| Coordination Task Force | 0.434487 |
| symptomatic persons | 0.479741 |
| local jurisdictions | 0.380403 |
| Public Health Preparedness | 0.49862 |
| 21-day monitoring period | 0.508143 |
| Ebola-affected countries | 0.410546 |
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