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Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
7206 Centers for Disease Control and Prevention Html en Vital Signs: Risk for Overdose from Methadone Used for Pain Relief - United States, 1999-2010 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.
synthetic opioid methadone0.802105
chronic noncancer pain0.671241
Opioid distribution data0.554987
appropriate opioid prescribing0.600628
medical examiner0.496734
methadone prescriptions0.807627
Pain Relief0.499035
fatal methadone overdoses0.732658
OPR-related overdose deaths0.562261
Methadone Used0.705324
long-term pain reduction0.500554
overdose deaths0.707945
pain treatment0.517733
pain reliever overdoses0.573425
major opioids0.544511
methadone0.98372
Methadone-related deaths0.4923
opioid pain relievers0.757193
severe respiratory depression0.50247
opioid treatment programs0.599413
methadone overdoses0.737755
methadone mortality rates0.684968
national death rates0.472115
single-drug OPR deaths0.546393
drug-related deaths0.537814
Leonard J. Paulozzi0.495283
single-drug deaths0.591993
United States0.530757
low back pain0.479711
health-care providers0.485518
methadone death rate0.690413
methadone mortality rate0.683903
methadone mortality0.71122
mild pain0.513503
extended-release opioids0.550558
overdose death rate0.50422
public health0.492701
opioid prescriptions0.564779
drug overdose deaths0.555487
acute pain0.512249
medical examiners0.508379
methadone poisoning0.668216
opioid analgesics0.515035
opioid-related deaths0.494028
pain specialists0.483109
opioid addiction treatment0.559939
vital statistics0.496046
opioid pain reliever0.696037
opioids0.600105
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7650 Centers for Disease Control and Prevention Html en Vital Signs: Racial Disparities in Breast Cancer Severity -United States, 2005-2009 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.
female breast cancer0.436807
Breast cancer prognosis0.453267
receptor–negative breast cancer0.440495
timely breast cancer0.452626
higher breast cancer0.474341
breast cancer deaths0.624601
abnormal breast cancer0.454803
complex breast cancer0.456171
cancer incidence rates0.408371
white breast cancer0.46072
Cancer Early Detection0.403724
breast cancer patients0.439688
cervical cancer screening0.397344
breast cancer care0.523618
aggressive breast cancers0.413538
cancer incidence data0.398351
screen-detected breast carcinoma0.398388
United States Cancer0.402114
breast cancer death0.519957
white women0.695729
breast cancer characteristics0.454351
invasive breast cancer0.47906
black women0.723906
treatment0.402452
breast cancer detection0.474682
cancer mortality rates0.441991
United States0.500647
breast cancer diagnosis0.447836
black women experience0.443879
Cancer Epidemiol Biomarkers0.421799
shows breast cancer0.441974
breast cancers0.549394
National Cancer Institute0.435145
Cancer Res Treat0.398154
Annual breast cancer0.45927
National Breast0.408774
cancer mortality statistics0.399936
adequate breast cancer0.454266
breast cancer screening0.584818
abnormal screening test0.410568
breast cancer0.949964
PR+ breast cancers0.419257
breast cancer mortality0.63073
breast cancer cases0.44623
et al0.409746
breast cancer incidence0.572402
cancer death rates0.430528
Breast Cancer Res0.469944
mortality rates0.466531
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10058 Centers for Disease Control and Prevention Html en CDC Telebriefing on infectious disease threats and global health security | Transcript | CDC Newsroom | CDC CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos.
high-quality standardized laboratory0.313236
infectious disease threats0.937275
emergency operations center0.318676
mobile applications0.319726
global health capacity0.370534
smart mobile phone0.308512
press star0.364866
remote rural areas0.319036
carbapenem-resistant Enterobacteriaceae spreading0.318653
long prolonged contact0.308111
early infant diagnosis0.319128
World Health Organization0.368096
presidents emergency plan0.307481
emergency operations procedures0.320298
tom frieden0.74337
countries0.396895
text message0.323583
Crimean-Congo hemorrhagic fever0.314559
public health experts0.341683
Lunar New0.324531
high case fatality0.30679
International Health Regulations0.352468
michael smith0.369416
mobile smartphone application0.313602
global health security0.688095
newer technology systems0.308844
real-time information systems0.327266
TOM SKINNER0.393433
travel health kit0.338431
tremendously powerful tool0.305227
infectious disease risks0.32412
CDC press office0.312844
health care workers0.354291
Dr. Tom Frieden0.412361
health information specific0.345401
drug resistant infections0.316853
question0.319153
michelle castillo0.36217
electronic health records0.341362
health protection0.302422
H7N9 avian influenza0.320194
drug-resistant tuberculosis0.337426
up-to-date health information0.35362
China public health0.35372
viral hemorrhagic fevers0.314725
Uganda0.311861
travel health insurance0.3384
Dr. Frieden0.449519
rural remote areas0.318816
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11025 Centers for Disease Control and Prevention Html en Preventing Chronic Disease | State-Based Medicaid Costs for Pediatric Asthma Emergency Department Visits - CDC The prevalence of childhood asthma in the United States increased from 8.7% in 2001 to 9.5% in 2011. This increased prevalence adds to the costs incurred by state Medicaid programs. We provide state-based cost estimates of pediatric asthma emergency department (ED) visits and highlight an opportunity for states to reduce these costs through a recently changed Centers for Medicare and Medicaid Services (CMS) regulation.
state Medicaid programs0.448164
asthma preventive services0.375191
community asthma case0.367526
children0.358344
asthma interventions0.424479
Medicaid0.461441
asthma costs0.399505
total asthma0.350063
asthma ED visits0.703843
asthma prevalence data0.416458
asthma health disparities0.374289
asthma0.827032
asthma treatment costs0.375502
pediatric asthma ED0.624669
asthma code0.357441
home-based asthma education0.367312
asthma prevention services0.392684
low asthma prevalence0.388359
community health workers0.339334
asthma management0.391996
ED asthma visits0.452469
Asthma education programs0.392387
asthma services0.354609
United States0.353437
asthma triggers0.345228
Community-based asthma interventions0.367575
ED visits0.955217
childhood asthma0.452017
higher asthma costs0.386581
childhood asthma ED0.407244
childhood asthma prevalence0.404482
states0.405748
asthma treatment0.411296
certified asthma educators0.394411
Community Asthma Initiative0.366649
home-based asthma interventions0.370199
asthma prevalence0.588828
pediatric asthma emergency0.410416
high asthma prevalence0.388306
rule change0.335167
pediatric ED visits0.423493
asthma prevalence rate0.392148
asthma home visitation0.382884
National Asthma Education0.386174
childhood asthma enrollee0.358084
asthma education0.429394
asthma symptoms0.372317
New England Asthma0.365788
preventive services0.379383
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11147 Centers for Disease Control and Prevention Html null 2008 National Report on Biochemical Indicators of Diet and Nutrition - Table 2.1 null
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12743 Centers for Disease Control and Prevention Html en Vital Signs: Disparities in Nonsmokers' Exposure toSecondhand Smoke - United States, 1999-2012 On February 3, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr).
comprehensive statewide laws0.568447
serum cotinine analysis0.557311
multiunit housing residency0.569831
exposure exist0.560324
serum cotinine levels0.647146
serum cotinine data0.555905
children0.609546
Serum cotinine values0.555365
Nutrition Examination Survey0.574313
housing status0.572193
Mexican Americans0.628151
poverty level0.641875
serum cotinine0.713685
percentage change0.707782
non-Hispanic black households0.570409
workplace SHS exposure0.654424
persons0.556881
SHS exposure0.996896
smoke-free home rules0.554555
nonsmokers0.724438
Greater SHS exposure0.653009
low socioeconomic status0.558802
serum cotinine level0.567508
voluntary smoke-free home0.618858
interview response rates0.567884
adult nonsmokers0.572444
United States0.562882
U.S. nonsmokers0.616752
smoke-free rules0.56447
comprehensive smoke-free laws0.605772
Mexican American nonsmokers0.584349
prevalence0.567951
public places0.579388
non-Hispanic blacks0.728405
smoking0.576701
smoke-free policies0.594668
multiunit housing0.671023
non-Hispanic white households0.570074
higher cotinine levels0.563785
Serum cotinine concentrations0.555636
continued efforts0.55371
non-Hispanic whites0.637177
background SHS levels0.61047
non-Hispanic white nonsmokers0.620091
non-hispanic black nonsmokers0.650401
preventable health hazard0.605635
recent exposure0.568164
population exposure0.567189
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14357 Centers for Disease Control and Prevention Html en Multistate Outbreak of Salmonella Muenchen Infections Linked to Alfalfa Sprouts Produced by Sweetwater Farms | February 2016 | Salmonella Multistate Outbreak of Salmonella Muenchen Infections Linked to Alfalfa Sprouts Produced by Sweetwater Farms
Salmonella0.437798
PulseNet0.296873
ill person0.29798
Public health investigators0.331697
national database0.273019
contaminated seeds0.270479
regulatory officials0.346669
outbreak case count0.281526
likely source0.274174
Salmonella Muenchen infections0.30117
possible outbreaks0.277835
outbreak0.339444
DNA fingerprinting0.274187
U.S. Food0.27656
Kansas Department0.310526
traceback investigations0.310585
Salmonella Cubana0.332023
median age0.273746
brand alfalfa sprouts0.341696
public health partners0.266056
alfalfa sprouts0.813702
public health officials0.392152
pulsed-field gel electrophoresis0.342619
national subtyping network0.34154
ill people0.983971
Salmonella bacteria0.307631
multistate outbreak0.293567
FDA0.270605
Collaborative investigative efforts0.329952
regulatory agency laboratories0.336194
Drug Administration0.280551
food regulatory agency0.334182
CDC PulseNet database0.268909
Salmonella infections0.277932
multiple states0.271102
public health0.595679
additional ill people0.304868
outbreak strain0.284801
Sweetwater Farms0.708858
Salmonella Kentucky0.33566
Case Count Map0.271978
DNA fingerprint0.308448
contaminated sprouts0.298503
possibly eating sprouts0.386783
local public health0.318893
irrigation water0.315721
DNA fingerprints0.274399
Salmonella Muenchen0.428571
federal public health0.324017
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15232 Centers for Disease Control and Prevention Html en YRBS 2015 Results | CDC Online Newsroom | CDC Teen smoking rates are at the lowest level (11%) since CDC began monitoring in 1991!
ideal time0.386128
risk behaviors0.742082
health risk behaviors0.72447
sexually active students0.484097
wireless devices0.399695
Disease Control0.406797
prescription drugs0.394588
drinking sugar-sweetened beverages0.466506
best science0.388826
physical fighting0.394275
newly emerging behaviors0.53325
good decision making0.455426
average text0.390472
survey findings0.485336
National Youth Risk0.519565
YRBS report0.468876
lowest levels0.410118
life-threatening.  YRBS results0.463421
fewer high school0.476429
new challenges0.401513
U.S. high school0.508072
current cigarette0.411241
youth risk behaviors0.555527
new data0.398247
sexual risk behaviors0.5631
Behavior Survey0.409694
healthy behaviors0.455107
teens0.32741
risk taking.0.398958
percent0.387422
55 mph0.394087
Nationwide0.333716
key survey findings0.482399
important health risk0.474954
important tool0.384482
sedentary related behaviors0.551679
survey results0.409191
risk taking0.395786
texting0.322374
high school students0.9136
safety concerns0.393774
Cigarette smoking0.519907
e-cigarettes0.336187
football field0.391767
mixed results0.394963
risks0.327841
screen time0.392919
overall trends0.382424
HIV testing0.391623
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16172 Centers for Disease Control and Prevention Html en From Making Sandwiches to Being Sandwiched | CDC Features Work-life balance for working caregivers may be difficult. But you are not alone - among the 44 million unpaid elder caregivers in the US, 75% are employed.
parent0.427509
working caregiver0.552402
Caregiving website0.566615
older persons0.476539
short walk0.469447
problem0.335846
flexible work schedule0.619015
employer0.369186
old mother0.508617
respite care0.478084
health conditions0.491582
old caregiver0.590616
teenage sons0.498951
local resources0.469946
multi-million dollar program0.690577
needs0.393443
little time0.496854
Join community caregiver0.684264
additional resources0.47043
normal family responsibilities0.634387
Pew Research Center0.652949
job0.487971
support network0.466899
U.S. businesses0.477284
child0.363862
exercise0.351871
caregiving tasks0.582437
after-school activities0.497143
hot bath0.46897
replacement costs0.468911
unpaid elder caregivers0.917603
job benefits0.48421
demanding job0.48621
work-life balance0.726189
Alzheimer’s Disease0.507669
emotional support0.462494
lower quality0.474838
average employed caregiver0.75237
Talk0.365792
chores0.335369
adult day care0.47788
higher levels0.475113
help0.365739
Sally0.427115
Caregiving Resources0.563834
sandwich generation0.494947
job situation0.483774
time0.526752
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16252 Centers for Disease Control and Prevention Html en FastStats - Accidents or Unintentional Injuries null
Medical Care Survey0.825635
tables0.352104
Emergency Department Summary0.817018
PDF0.351199
Final Data0.549326
Deaths0.401537
Source0.354106
table0.338754
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