| 4511 |
Centers for Disease Control and Prevention |
Html |
en |
Vaccine Effectiveness - How Well Does the Flu Vaccine Work? |
Influenza vaccine effectiveness questions and answers - CDC |
| vaccine effectiveness studies | 0.334715 |
| study | 0.276149 |
| influenza virus type | 0.253442 |
| United States | 0.25386 |
| point estimate | 0.29302 |
| public health researchers | 0.265613 |
| medically-attended flu virus | 0.359325 |
| Influenza Vaccine Effectiveness | 0.311608 |
| protection | 0.261452 |
| Seasonal flu vaccines | 0.394837 |
| flu vaccine effectiveness | 0.528674 |
| flu season researchers | 0.39242 |
| CDC vaccine effectiveness | 0.308514 |
| point value estimate | 0.262216 |
| flu vaccines | 0.543538 |
| flu vaccination history | 0.392548 |
| repeat vaccination results | 0.261929 |
| laboratory-confirmed flu | 0.376696 |
| influenza B viruses | 0.274985 |
| studies | 0.354988 |
| flu vaccination | 0.718101 |
| annual flu vaccination | 0.387413 |
| withholding vaccine | 0.281752 |
| observational studies | 0.271242 |
|
| accurate vaccination records | 0.260033 |
| U.S. flu vaccination | 0.394216 |
| public health | 0.278278 |
| flu vaccine match | 0.472402 |
| yearly flu vaccination | 0.438996 |
| flu seasons | 0.393997 |
| flu vaccination benefits | 0.421341 |
| vaccine component | 0.287224 |
| flu illness | 0.533619 |
| H3N2 viruses | 0.280855 |
| flu viruses | 0.506449 |
| flu illness severity | 0.390417 |
| flu vaccine viruses | 0.483642 |
| people | 0.312384 |
| flu vaccine effects | 0.417777 |
| vaccine effectiveness | 0.565204 |
| partially vaccinated children | 0.253832 |
| repeat vaccination | 0.262316 |
| influenza viruses | 0.350765 |
| recent studies | 0.265774 |
| current flu vaccines | 0.410752 |
| flu season | 0.407514 |
| confidence interval | 0.338023 |
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| 5492 |
Centers for Disease Control and Prevention |
Html |
en |
Starch - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6185 |
Centers for Disease Control and Prevention |
Html |
en |
Child care provider training and a supportive feeding environment in child care settings in 4 states, 2003. |
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| child care centers | 0.765555 |
| child feeding training | 0.36447 |
| directors | 0.24389 |
| supportive feeding environment | 0.927004 |
| self-reported feeding practices | 0.215929 |
| response options | 0.246779 |
| child care | 0.774131 |
| children | 0.749329 |
| Feeding Children Study | 0.359112 |
| feeding practices | 0.550132 |
| low-income children | 0.350437 |
| obesity prevention | 0.281842 |
| mealtime feeding practices | 0.234935 |
|
| feeding training items | 0.21403 |
| Care Food Program | 0.339715 |
| childhood obesity prevention | 0.249071 |
| child care staff | 0.340808 |
| Head Start | 0.23552 |
| staff | 0.58162 |
| staff feeding behaviors | 0.222019 |
| CACFP funding | 0.213723 |
| CACFP-funded centers | 0.444816 |
| childhood obesity | 0.344359 |
| supportive feeding practices | 0.414333 |
| child care facilities | 0.200258 |
| Adult Care Food | 0.338543 |
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| 7201 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Risk for Overdose from Methadone Used for Pain Relief - United States, 1999-2010 |
Background: Vital statistics data suggest that the opioid pain reliever (OPR) methadone is involved in one third of OPR-related overdose deaths, but it accounts for only a few percent of OPR prescriptions. |
| synthetic opioid methadone | 0.807434 |
| chronic noncancer pain | 0.675716 |
| Opioid distribution data | 0.55712 |
| appropriate opioid prescribing | 0.603583 |
| medical examiner | 0.498435 |
| methadone prescriptions | 0.778815 |
| Pain Relief | 0.50035 |
| fatal methadone overdoses | 0.737295 |
| OPR-related overdose deaths | 0.564707 |
| Methadone Used | 0.708801 |
| long-term pain reduction | 0.502068 |
| overdose deaths | 0.713021 |
| pain treatment | 0.519387 |
| pain reliever overdoses | 0.581073 |
| major opioids | 0.561441 |
| methadone | 0.997782 |
| Methadone-related deaths | 0.493652 |
| opioid pain relievers | 0.762442 |
| severe respiratory depression | 0.504434 |
| opioid treatment programs | 0.602144 |
| methadone overdoses | 0.742284 |
| methadone mortality rates | 0.688855 |
| national death rates | 0.473142 |
| single-drug OPR deaths | 0.548516 |
| drug-related deaths | 0.540008 |
|
| Leonard J. Paulozzi | 0.49693 |
| single-drug deaths | 0.595062 |
| United States | 0.533004 |
| low back pain | 0.480787 |
| health-care providers | 0.486977 |
| methadone death rate | 0.694074 |
| methadone mortality rate | 0.687855 |
| methadone mortality | 0.715506 |
| mild pain | 0.515246 |
| extended-release opioids | 0.552916 |
| overdose death rate | 0.505764 |
| public health | 0.494312 |
| opioid prescriptions | 0.567058 |
| drug overdose deaths | 0.55752 |
| medical examiners | 0.521354 |
| acute pain | 0.513977 |
| methadone poisoning | 0.671912 |
| opioid analgesics | 0.516607 |
| opioid-related deaths | 0.495339 |
| pain specialists | 0.484354 |
| opioid addiction treatment | 0.562044 |
| vital statistics | 0.497889 |
| opioid pain reliever | 0.708035 |
| opioids | 0.591388 |
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| 7215 |
Centers for Disease Control and Prevention |
Html |
en |
Preconception Care - Women |
Preconception, Preconception Care, Pregnancy, Women's Health |
| good care | 0.646991 |
| short-term dietary changes | 0.70064 |
| Health Services Administration | 0.753751 |
| Abuse Treatment Facility | 0.719812 |
| United States | 0.633077 |
| mental health | 0.836222 |
| health care provider | 0.767618 |
| Substance Abuse | 0.706226 |
| unplanned pregnancy | 0.652873 |
| Disease Control | 0.645019 |
| toxic substances | 0.9626 |
| preconception health | 0.878645 |
| major birth defects | 0.717637 |
| unintended pregnancy | 0.632123 |
| early warning signs | 0.693493 |
| healthy new cells | 0.769837 |
| folic acid | 0.913482 |
| health care | 0.936942 |
| health check-up | 0.674104 |
| higher risk | 0.712538 |
| alcohol treatment programs | 0.720501 |
| good health | 0.65192 |
| healthy living | 0.699753 |
|
| health | 0.944014 |
| female reproductive health | 0.741571 |
| healthy weight | 0.833483 |
| healthy eating | 0.663596 |
| birth defects | 0.728378 |
| people | 0.629514 |
| doctor | 0.743743 |
| sexually transmitted diseases | 0.719934 |
| best things | 0.632588 |
| preconception health care | 0.800126 |
| family health history | 0.735491 |
| local treatment center | 0.723738 |
| birth control | 0.687439 |
| health problems | 0.651987 |
| regular physical activity | 0.704161 |
| healthy pregnancy | 0.680118 |
| treatment facility locator | 0.873451 |
| high blood pressure | 0.724329 |
| important parts | 0.639124 |
| body–make new cells | 0.709714 |
| highly effective methods | 0.695698 |
| Toxic Matters | 0.630071 |
| healthy habits | 0.689177 |
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| 8991 |
Centers for Disease Control and Prevention |
Video |
en |
CDC: Tips from Former Smokers - James: "No, I Won't Buy You Smokes" |
You never know when a decision you make could undermine your choice to quit smoking. James describes a moment he had with his roommate after he had resolved to stop smoking cigarettes. James realized the potential for relapse, and took steps to make sure that it didn't happen. This video is part of CDC's campaign, "Tips From Former Smokers."
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=b3d29946145a1a9d5145d999f11780d820121108122157050 |
| Smokers | 0.945902 |
| CDC | 0.936519 |
|
| James | 0.693489 |
| YouTube | 0.868047 |
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| 9348 |
Centers for Disease Control and Prevention |
Html |
es |
Detección de obesidad en las mujeres en edad reproductiva |
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| posibles beneficios | 0.870008 |
| Ãndices maternos | 0.882798 |
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| 11170 |
Centers for Disease Control and Prevention |
Html |
en |
New safety protocols in place, first CDC lab resumes transfer of inactivated materials out of high-containment laboratory | Media Statement | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| material transfer | 0.327919 |
| recent incidents | 0.335745 |
| internal Laboratory Safety | 0.512528 |
| lab technician | 0.456243 |
| highly pathogenic influenza | 0.406772 |
| intensive review | 0.333964 |
| low pathogenic influenza | 0.412359 |
| laboratory safety protocols | 0.433607 |
| direct patient care | 0.433953 |
| Clinical Laboratory Improvement | 0.429447 |
| key control points | 0.405493 |
| individual lab | 0.367892 |
| TB inactivation process | 0.528388 |
| influenza laboratory | 0.326994 |
| internal working group | 0.983462 |
| personal protective equipment | 0.409641 |
| CDC Director Tom | 0.578728 |
| Agriculture high-containment lab | 0.449972 |
| unannounced safety inspections–by | 0.433054 |
| Improvement Working Group | 0.485166 |
| critical control points | 0.403745 |
| review group | 0.338997 |
| inactivation procedures | 0.347431 |
| Dr. Bell | 0.371363 |
|
| tb lab | 0.805666 |
| CDC BSL-3 | 0.417114 |
| specific type | 0.328593 |
| BSL-4 labs | 0.413133 |
| Clinical TB Lab | 0.570674 |
| safety procedures | 0.434026 |
| CLIA technical supervisor | 0.42778 |
| priority review | 0.335047 |
| lab’s plan | 0.37474 |
| external working group | 0.578247 |
| CDC employees | 0.416197 |
| lab access | 0.375873 |
| tuberculosis bacteria | 0.341155 |
| lab safety incidents | 0.492309 |
| CDC laboratories | 0.40977 |
| lab personnel | 0.375731 |
| different labs | 0.334509 |
| internal auditors | 0.328802 |
| lab safety protocols | 0.473906 |
| Clinical Tuberculosis Laboratory | 0.473876 |
| BSL-2 CDC lab | 0.602396 |
| laboratory safety | 0.592758 |
| pathogenic influenza virus | 0.545063 |
| group details safety | 0.47181 |
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| 14470 |
Centers for Disease Control and Prevention |
Html |
en |
Sun Safety |
null |
| shoulders | 0.369549 |
| dancing | 0.361362 |
| sunscreen | 0.972107 |
| activity | 0.362906 |
| wide brim | 0.610557 |
| gardening | 0.366679 |
| long pants | 0.584602 |
| Skin Care | 0.572873 |
| SPF | 0.378421 |
| Wear protective clothing | 0.821763 |
| fruit juices | 0.583299 |
| clouds | 0.364776 |
| liquids | 0.355605 |
| Drink | 0.352364 |
| matter | 0.360468 |
| Go4Life | 0.362372 |
| percent | 0.35959 |
| tips | 0.414017 |
| lip balm | 0.617087 |
| number | 0.353652 |
| caffeine | 0.366674 |
| ways | 0.361598 |
| towel | 0.363411 |
|
| long-sleeved shirt | 0.589132 |
| good options | 0.574103 |
| hat | 0.35167 |
| Water resistant | 0.589608 |
| nose | 0.357089 |
| n’t waterproof | 0.595131 |
| sunglasses | 0.357641 |
| sunscreens | 0.379979 |
| Pay special attention | 0.825791 |
| pool | 0.356674 |
| plenty | 0.354247 |
| label | 0.353661 |
| neck | 0.351953 |
| tennis | 0.361284 |
| ears | 0.446729 |
| outdoors | 0.362256 |
| ocean | 0.356562 |
| cloudy skies | 0.658218 |
| sun protective factor | 0.865642 |
| time | 0.359992 |
| sun’s rays | 0.687614 |
| sweating | 0.373705 |
| broad spectrum | 0.600265 |
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| 16298 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - Health of Black or African American non-Hispanic Population |
null |
| Summary Health Statistics | 0.808626 |
| Infant Mortality | 0.369935 |
| United States | 0.952924 |
| Final Data | 0.578617 |
| Health Statistics Tables | 0.808386 |
| National Health Interview | 0.806472 |
| Source | 0.698054 |
| poor health | 0.383546 |
| Number | 0.290229 |
| MB | 0.570974 |
| men | 0.337404 |
| KB | 0.295689 |
| deaths | 0.425342 |
| obesity | 0.284392 |
|
| health insurance coverage | 0.503129 |
| Percent | 0.816554 |
| Infant deaths | 0.392721 |
| Table P-11c | 0.359827 |
| Health Interview Survey | 0.806233 |
| births | 0.443145 |
| persons | 0.283005 |
| live births | 0.391424 |
| high blood pressure | 0.838758 |
| ages | 0.241467 |
| cigarettes | 0.296502 |
| antihypertensive medication | 0.591026 |
| hypertension | 0.291004 |
| U.S. Population | 0.559197 |
|
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