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Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
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 studies0.334715
study0.276149
influenza virus type0.253442
United States0.25386
point estimate0.29302
public health researchers0.265613
medically-attended flu virus0.359325
Influenza Vaccine Effectiveness0.311608
protection0.261452
Seasonal flu vaccines0.394837
flu vaccine effectiveness0.528674
flu season researchers0.39242
CDC vaccine effectiveness0.308514
point value estimate0.262216
flu vaccines0.543538
flu vaccination history0.392548
repeat vaccination results0.261929
laboratory-confirmed flu0.376696
influenza B viruses0.274985
studies0.354988
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annual flu vaccination0.387413
withholding vaccine0.281752
observational studies0.271242
accurate vaccination records0.260033
U.S. flu vaccination0.394216
public health0.278278
flu vaccine match0.472402
yearly flu vaccination0.438996
flu seasons0.393997
flu vaccination benefits0.421341
vaccine component0.287224
flu illness0.533619
H3N2 viruses0.280855
flu viruses0.506449
flu illness severity0.390417
flu vaccine viruses0.483642
people0.312384
flu vaccine effects0.417777
vaccine effectiveness0.565204
partially vaccinated children0.253832
repeat vaccination0.262316
influenza viruses0.350765
recent studies0.265774
current flu vaccines0.410752
flu season0.407514
confidence interval0.338023
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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.
fingers0.320091
clean tweezers0.426034
high standards0.38894
recent tick bite0.699032
treatment decisions0.383387
bite area0.404634
alcohol0.336854
Positive results0.384048
goal0.317772
quality control0.388872
surface0.319569
need0.320992
nail0.317069
clinical diagnostic laboratories0.457304
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different parts0.38337
tick testing0.670562
tick0.900467
pressure0.319859
water0.317812
Negative results0.382751
market0.319782
toilet0.318532
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twist0.318734
heat0.316986
Different ticks0.388151
fine-tipped tweezers0.540942
skin0.416857
fever0.316984
iodine scrub0.402604
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folklore remedies0.390641
skin heal0.394435
various ticks0.397823
disease-causing organism0.393256
different diseases0.383218
People0.31672
mouth-parts0.335418
tick detach0.624966
doctor0.33266
commercial groups0.389878
appropriate treatment0.384168
rash0.320795
mouth0.318109
painting0.317041
tick testing results0.666128
plain set0.406772
live tick0.620707
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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 assessment0.633184
Boston Parks0.588878
playground quality items0.632191
Parks Department capital0.683697
PAB baseline playground0.648785
parks0.793592
playground quality assessments0.58414
previously low-scoring parks0.578307
community partners0.576036
Overall playground renovation0.599049
initial playground assessment0.579015
Boston0.596966
street blocks0.581324
playground quality assessment0.634626
city Parks Department0.609038
city area0.571348
baseline quality0.587844
city public health0.573858
playground quality scores0.680116
disadvantaged area0.682968
playground quality0.96924
Department capital budgets0.681808
playground renovation history0.581025
city parks departments0.579368
public parks0.604999
transportation infrastructure0.584422
annual city Parks0.592464
Parks Department renovation0.582615
baseline assessment0.673828
playground quality score0.690324
playground quality instrument0.612697
playground renovation rate0.583378
public health0.586968
citywide playground renovation0.618354
observed playground quality0.591915
playground renovation rates0.766066
city areas0.670502
overall baseline playground0.62231
Parks Department schedules0.576246
pedestrian access0.643142
physical activity0.719108
average playground quality0.589515
low playground quality0.589305
baseline playground quality0.842427
lower playground quality0.598086
playgrounds0.589255
playground equipment construction0.573834
baseline playground assessment0.650986
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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 methadone0.807434
chronic noncancer pain0.675716
Opioid distribution data0.55712
appropriate opioid prescribing0.603583
medical examiner0.498435
methadone prescriptions0.778815
Pain Relief0.50035
fatal methadone overdoses0.737295
OPR-related overdose deaths0.564707
Methadone Used0.708801
long-term pain reduction0.502068
overdose deaths0.713021
pain treatment0.519387
pain reliever overdoses0.581073
major opioids0.561441
methadone0.997782
Methadone-related deaths0.493652
opioid pain relievers0.762442
severe respiratory depression0.504434
opioid treatment programs0.602144
methadone overdoses0.742284
methadone mortality rates0.688855
national death rates0.473142
single-drug OPR deaths0.548516
drug-related deaths0.540008
Leonard J. Paulozzi0.49693
single-drug deaths0.595062
United States0.533004
low back pain0.480787
health-care providers0.486977
methadone death rate0.694074
methadone mortality rate0.687855
methadone mortality0.715506
mild pain0.515246
extended-release opioids0.552916
overdose death rate0.505764
public health0.494312
opioid prescriptions0.567058
drug overdose deaths0.55752
medical examiners0.521354
acute pain0.513977
methadone poisoning0.671912
opioid analgesics0.516607
opioid-related deaths0.495339
pain specialists0.484354
opioid addiction treatment0.562044
vital statistics0.497889
opioid pain reliever0.708035
opioids0.591388
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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
Smokers0.945902
CDC0.936519
James0.693489
YouTube0.868047
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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 irritation0.344495
pesticide application0.635786
low mammalian toxicity0.352561
off-target drift0.588289
farmworkers0.591587
Joanne Bonnar Prado0.364299
pear orchard pesticide0.615875
agricultural pesticides0.347704
Geoffrey M. Calvert0.497737
acute pesticide-related illnesses0.349897
pesticide applications0.594376
pesticide products0.401638
neighboring pear orchard0.527334
toxicity category0.411034
moderate eye irritation0.341135
MMWR Geoffrey M.0.361278
medical services personnel0.351135
personal protective equipment0.479127
commonly reported symptoms0.373202
acute pesticide-related illness0.482682
cherry orchard workers0.496487
pesticide mixture0.665794
pesticide exposures0.388651
novel pesticides0.362069
pesticide-related illness cases0.356132
worker notification requirements0.343366
Washington State Department0.788795
clothing samples0.365969
phosphoric acid0.353176
pesticide applicators0.598201
Hispanic farmworkers0.400932
tractor-pulled airblast sprayers0.364281
psylla infestations0.378073
United States0.356698
2Washington State Department0.35785
mineral oil0.352066
neighboring farm0.352045
pesticides0.611188
state health department0.358724
pesticide residues0.414764
cherry orchard0.867026
air-purifying respirators0.368984
pesticide mixtures0.395111
farmworkers location0.390959
pesticide0.787177
off-target pesticide drift0.49322
off-target drift exposures0.3844
pear orchard0.91771
pesticide residue analysis0.478346
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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
Life0.946229
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13509 Centers for Disease Control and Prevention Html en Contact Lens Types | Contact Lenses | CDC null
contact lens types0.446922
FDA. Types0.364872
contact lens material0.378539
Stapleton F. Risk0.361401
common contact lens0.3952
lens material0.397788
Cont Lens Anterior0.388376
Lens Anterior Eye.0.388371
additional contact lens0.37849
Seddon JM0.364483
Poggio EC0.363423
contact lenses0.900325
Contact Lenses page0.406824
contact lens type0.397051
Engl J Med.0.378909
microbial keratitis0.398801
overnight contact lens0.384763
contact lens storage0.387991
Kenyon KR0.36261
fresh contact lens0.387052
daily disposable contact0.380615
soft contact lens0.409808
hard contact lenses0.514307
eye care providers0.362583
disposable contact lens0.383139
contact lens wearers0.382694
Schein OD0.364035
Hybrid contact lenses0.406672
Glynn RJ0.363241
Dart JK0.361361
daily wear contact0.397256
eye care provider0.68073
rigid gas0.386558
soft contact lenses0.700398
Contact Lenses.0.373949
decorative contact lenses0.418755
lens-related microbial keratitis0.360508
contact lens wear0.409494
wear contact lenses0.50261
extended-wear soft contact0.427192
lens material worn0.368692
contemporary contact lenses0.444155
silicone hydrogel lenses0.389053
disposable contact lenses0.424238
scleral lenses0.39849
Ortho-K lenses0.384109
different contact lens0.396927
contact lens solution0.399446
ulcerative keratitis0.364384
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14470 Centers for Disease Control and Prevention Html en Sun Safety null
shoulders0.369549
dancing0.361362
sunscreen0.972107
activity0.362906
wide brim0.610557
gardening0.366679
long pants0.584602
Skin Care0.572873
SPF0.378421
Wear protective clothing0.821763
fruit juices0.583299
clouds0.364776
liquids0.355605
Drink0.352364
matter0.360468
Go4Life0.362372
percent0.35959
tips0.414017
lip balm0.617087
number0.353652
caffeine0.366674
ways0.361598
towel0.363411
long-sleeved shirt0.589132
good options0.574103
hat0.35167
Water resistant0.589608
nose0.357089
n’t waterproof0.595131
sunglasses0.357641
sunscreens0.379979
Pay special attention0.825791
pool0.356674
plenty0.354247
label0.353661
neck0.351953
tennis0.361284
ears0.446729
outdoors0.362256
ocean0.356562
cloudy skies0.658218
sun protective factor0.865642
time0.359992
sun’s rays0.687614
sweating0.373705
broad spectrum0.600265
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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 Statistics0.808626
Infant Mortality0.369935
United States0.952924
Final Data0.578617
Health Statistics Tables0.808386
National Health Interview0.806472
Source0.698054
poor health0.383546
Number0.290229
MB0.570974
men0.337404
KB0.295689
deaths0.425342
obesity0.284392
health insurance coverage0.503129
Percent0.816554
Infant deaths0.392721
Table P-11c0.359827
Health Interview Survey0.806233
births0.443145
persons0.283005
live births0.391424
high blood pressure0.838758
ages0.241467
cigarettes0.296502
antihypertensive medication0.591026
hypertension0.291004
U.S. Population0.559197
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