| 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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| 5348 |
Centers for Disease Control and Prevention |
Html |
en |
Tick Removal |
Information on Lyme disease. Provided by the U.S. Centers for Disease Control and Prevention. |
| fingers | 0.320091 |
| clean tweezers | 0.426034 |
| high standards | 0.38894 |
| recent tick bite | 0.699032 |
| treatment decisions | 0.383387 |
| bite area | 0.404634 |
| alcohol | 0.336854 |
| Positive results | 0.384048 |
| goal | 0.317772 |
| quality control | 0.388872 |
| surface | 0.319569 |
| need | 0.320992 |
| nail | 0.317069 |
| clinical diagnostic laboratories | 0.457304 |
| sealed bag/container | 0.396795 |
| different parts | 0.38337 |
| tick testing | 0.670562 |
| tick | 0.900467 |
| pressure | 0.319859 |
| water | 0.317812 |
| Negative results | 0.382751 |
| market | 0.319782 |
| toilet | 0.318532 |
| tick removal devices | 0.748092 |
| twist | 0.318734 |
|
| heat | 0.316986 |
| Different ticks | 0.388151 |
| fine-tipped tweezers | 0.540942 |
| skin | 0.416857 |
| fever | 0.316984 |
| iodine scrub | 0.402604 |
| different tick | 0.603237 |
| folklore remedies | 0.390641 |
| skin heal | 0.394435 |
| various ticks | 0.397823 |
| disease-causing organism | 0.393256 |
| different diseases | 0.383218 |
| People | 0.31672 |
| mouth-parts | 0.335418 |
| tick detach | 0.624966 |
| doctor | 0.33266 |
| commercial groups | 0.389878 |
| appropriate treatment | 0.384168 |
| rash | 0.320795 |
| mouth | 0.318109 |
| painting | 0.317041 |
| tick testing results | 0.666128 |
| plain set | 0.406772 |
| live tick | 0.620707 |
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| 5411 |
Centers for Disease Control and Prevention |
Html |
en |
Playground renovations and quality at public parks in Boston, Massachusetts, 1996-2007. |
null |
| PAB baseline assessment | 0.633184 |
| Boston Parks | 0.588878 |
| playground quality items | 0.632191 |
| Parks Department capital | 0.683697 |
| PAB baseline playground | 0.648785 |
| parks | 0.793592 |
| playground quality assessments | 0.58414 |
| previously low-scoring parks | 0.578307 |
| community partners | 0.576036 |
| Overall playground renovation | 0.599049 |
| initial playground assessment | 0.579015 |
| Boston | 0.596966 |
| street blocks | 0.581324 |
| playground quality assessment | 0.634626 |
| city Parks Department | 0.609038 |
| city area | 0.571348 |
| baseline quality | 0.587844 |
| city public health | 0.573858 |
| playground quality scores | 0.680116 |
| disadvantaged area | 0.682968 |
| playground quality | 0.96924 |
| Department capital budgets | 0.681808 |
| playground renovation history | 0.581025 |
| city parks departments | 0.579368 |
|
| public parks | 0.604999 |
| transportation infrastructure | 0.584422 |
| annual city Parks | 0.592464 |
| Parks Department renovation | 0.582615 |
| baseline assessment | 0.673828 |
| playground quality score | 0.690324 |
| playground quality instrument | 0.612697 |
| playground renovation rate | 0.583378 |
| public health | 0.586968 |
| citywide playground renovation | 0.618354 |
| observed playground quality | 0.591915 |
| playground renovation rates | 0.766066 |
| city areas | 0.670502 |
| overall baseline playground | 0.62231 |
| Parks Department schedules | 0.576246 |
| pedestrian access | 0.643142 |
| physical activity | 0.719108 |
| average playground quality | 0.589515 |
| low playground quality | 0.589305 |
| baseline playground quality | 0.842427 |
| lower playground quality | 0.598086 |
| playgrounds | 0.589255 |
| playground equipment construction | 0.573834 |
| baseline playground assessment | 0.650986 |
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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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CLICK HERE |
| 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 |
|
CLICK HERE |
| 12323 |
Centers for Disease Control and Prevention |
Html |
en |
Worker Illness Related to Newly Marketed Pesticides -Douglas County, Washington, 2014 |
Geoffrey M. Calvert, MD1, Luis Rodriguez2, Joanne Bonnar Prado, MPH2 (Author affiliations at end of text). |
| upper respiratory irritation | 0.344495 |
| pesticide application | 0.635786 |
| low mammalian toxicity | 0.352561 |
| off-target drift | 0.588289 |
| farmworkers | 0.591587 |
| Joanne Bonnar Prado | 0.364299 |
| pear orchard pesticide | 0.615875 |
| agricultural pesticides | 0.347704 |
| Geoffrey M. Calvert | 0.497737 |
| acute pesticide-related illnesses | 0.349897 |
| pesticide applications | 0.594376 |
| pesticide products | 0.401638 |
| neighboring pear orchard | 0.527334 |
| toxicity category | 0.411034 |
| moderate eye irritation | 0.341135 |
| MMWR
Geoffrey M. | 0.361278 |
| medical services personnel | 0.351135 |
| personal protective equipment | 0.479127 |
| commonly reported symptoms | 0.373202 |
| acute pesticide-related illness | 0.482682 |
| cherry orchard workers | 0.496487 |
| pesticide mixture | 0.665794 |
| pesticide exposures | 0.388651 |
| novel pesticides | 0.362069 |
| pesticide-related illness cases | 0.356132 |
|
| worker notification requirements | 0.343366 |
| Washington State Department | 0.788795 |
| clothing samples | 0.365969 |
| phosphoric acid | 0.353176 |
| pesticide applicators | 0.598201 |
| Hispanic farmworkers | 0.400932 |
| tractor-pulled airblast sprayers | 0.364281 |
| psylla infestations | 0.378073 |
| United States | 0.356698 |
| 2Washington State Department | 0.35785 |
| mineral oil | 0.352066 |
| neighboring farm | 0.352045 |
| pesticides | 0.611188 |
| state health department | 0.358724 |
| pesticide residues | 0.414764 |
| cherry orchard | 0.867026 |
| air-purifying respirators | 0.368984 |
| pesticide mixtures | 0.395111 |
| farmworkers location | 0.390959 |
| pesticide | 0.787177 |
| off-target pesticide drift | 0.49322 |
| off-target drift exposures | 0.3844 |
| pear orchard | 0.91771 |
| pesticide residue analysis | 0.478346 |
|
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| 12695 |
Centers for Disease Control and Prevention |
Video |
en |
A Change for Life |
Type 2 diabetes can be prevented or delayed by making lifestyle changes that include weight loss and more physical activity. In this video, people with prediabetes talk about how group lifestyle change classes offered as part of CDC's National Diabetes Prevention Program helped them learn and keep healthy habits. Lifestyle coaches, a physician and Ann Albright, PhD, RD, director of CDC's Division of Diabetes Translation, discuss how group lifestyle classes offer an effective way to prevent type 2 diabetes. Research trials have shown that such classes can reduce the risk of type 2 diabetes by nearly 60% in people at high risk for developing the disease.
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=49fdf9cc50b3b189d480d34290445ee820110822150823403 |
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CLICK HERE |
| 13509 |
Centers for Disease Control and Prevention |
Html |
en |
Contact Lens Types | Contact Lenses | CDC |
null |
| contact lens types | 0.446922 |
| FDA. Types | 0.364872 |
| contact lens material | 0.378539 |
| Stapleton F. Risk | 0.361401 |
| common contact lens | 0.3952 |
| lens material | 0.397788 |
| Cont Lens Anterior | 0.388376 |
| Lens Anterior Eye. | 0.388371 |
| additional contact lens | 0.37849 |
| Seddon JM | 0.364483 |
| Poggio EC | 0.363423 |
| contact lenses | 0.900325 |
| Contact Lenses page | 0.406824 |
| contact lens type | 0.397051 |
| Engl J Med. | 0.378909 |
| microbial keratitis | 0.398801 |
| overnight contact lens | 0.384763 |
| contact lens storage | 0.387991 |
| Kenyon KR | 0.36261 |
| fresh contact lens | 0.387052 |
| daily disposable contact | 0.380615 |
| soft contact lens | 0.409808 |
| hard contact lenses | 0.514307 |
| eye care providers | 0.362583 |
| disposable contact lens | 0.383139 |
|
| contact lens wearers | 0.382694 |
| Schein OD | 0.364035 |
| Hybrid contact lenses | 0.406672 |
| Glynn RJ | 0.363241 |
| Dart JK | 0.361361 |
| daily wear contact | 0.397256 |
| eye care provider | 0.68073 |
| rigid gas | 0.386558 |
| soft contact lenses | 0.700398 |
| Contact Lenses. | 0.373949 |
| decorative contact lenses | 0.418755 |
| lens-related microbial keratitis | 0.360508 |
| contact lens wear | 0.409494 |
| wear contact lenses | 0.50261 |
| extended-wear soft contact | 0.427192 |
| lens material worn | 0.368692 |
| contemporary contact lenses | 0.444155 |
| silicone hydrogel lenses | 0.389053 |
| disposable contact lenses | 0.424238 |
| scleral lenses | 0.39849 |
| Ortho-K lenses | 0.384109 |
| different contact lens | 0.396927 |
| contact lens solution | 0.399446 |
| ulcerative keratitis | 0.364384 |
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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 |
|
CLICK HERE |