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Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
8739 Centers for Disease Control and Prevention Html en Preventing Chronic Disease | A Multilevel Approach to Estimating Small Area Childhood Obesity Prevalence at the Census Block-Group Level - CDC Traditional survey methods for obtaining nationwide small-area estimates (SAEs) of childhood obesity are costly. This study applied a geocoded national health survey in a multilevel modeling framework to estimate prevalence of childhood obesity at the census block-group level.
national childhood obesity0.520281
data0.494418
obesity rates0.486222
obesity outcomes0.485909
state-level prevalence estimates0.499441
county0.475832
childhood obesity epidemic0.531307
model-based predicted SAEs0.482368
block-group level estimates0.479554
similar obesity estimates0.524033
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small-area estimates0.488553
children0.488796
median household income0.632501
obesity prevention0.50325
state childhood obesity0.538125
obesity risk0.533593
block groups0.513613
model-based saes0.569285
childhood obesity measures0.539781
Area Childhood Obesity0.543907
model-based block-group estimates0.501983
random effects0.538927
NSCH prevalence estimates0.493832
multilevel model0.522877
zip code0.514056
multilevel model-based zip0.486605
direct survey estimates0.607228
observed childhood obesity0.518663
block group0.536573
childhood obesity SAE0.522737
state-level childhood obesity0.524789
state-level model-based estimates0.499581
census block-group level0.484668
block-group level0.666688
childhood obesity prevalence0.831068
Obesity Prevalence Estimates0.549338
model-based childhood obesity0.632685
validated obesity outcome0.49491
NSCH child obesity0.502438
level small-area estimates0.48546
state-specific model-based estimates0.498977
childhood obesity estimate0.5203
obesity status0.50657
model-based estimates0.557552
level obesity prevalence0.516437
nationwide small-area estimates0.482181
childhood obesity0.949901
obesity data0.483973
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8865 Centers for Disease Control and Prevention Html en Pertussis: Letter of Guidance for Parents and Clinicians during Outbreaks This draft letter can be adapted during pertussis outbreaks in schools or other closed or contained settings to guide parents and clinicians during outbreaks.
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Disease Control0.555179
school0.598744
pertussis cases0.730906
immune systems0.567484
pregnant woman0.556756
CDC website0.554227
laboratory results0.55255
antibiotic prophylaxis0.683624
appropriate antibiotics0.564856
antibiotic treatment0.556867
patients0.588781
following exception0.551757
Older children0.551714
child home0.618182
play groups0.554723
postexposure prophylaxis0.582835
Word file0.566787
draft letter0.563209
cough onset0.581549
Collect nasopharyngeal swabs0.601102
page0.565068
insert health department0.631598
antibiotics0.594477
Family members0.557464
child0.839237
severe cough0.589739
following people0.553999
childhood vaccine0.553965
vulnerable individuals0.555795
following guidelines0.551484
clinical decisions0.550964
public health entity0.597582
Dear Parent0.563276
vaccine provider0.55311
insert contact0.700276
alternative diagnosis0.554535
insert date0.582672
doctor0.635812
whooping cough0.593456
School officials0.557874
pertussis PCR0.699517
healthcare provider0.562242
detailed guidance0.562629
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9565 Centers for Disease Control and Prevention Html en CDC Accomplishments Centers for Disease Control and Prevention Accomplishments, 2009-2012
Field Epidemiology Training0.342317
meaningful successes0.249331
CDC0.833919
proven steps0.232239
real-time emergency response0.37235
non-communicable diseases0.258014
New CDC research0.583128
H1N1 virus0.228958
Disease Control0.274538
premature deaths0.269282
health systems0.281781
Hepatitis C. Implementation0.349841
Americans0.278541
seat belt laws0.359513
Thirty-nine states0.248459
America’s health0.423547
CDC’s laboratories0.457356
lowers health care0.438927
leadership role0.231309
public health laboratories0.383099
health protection agency0.456727
rapid detection0.25397
protected people0.250218
CDC-supported FETPs0.231199
disease tracking0.259307
ignition interlock systems0.365491
health threats0.976144
unique public health0.432547
U.S. borders0.231996
CDC data0.487033
health security0.301128
surveillance systems0.227114
key health threats0.523956
fewer schools0.238427
child safety seat0.36221
sugar-sweetened beverages0.232742
school grounds0.230616
public health0.644369
Key campaign0.242083
healthy school environments0.343381
local public health0.410193
young drivers0.243709
low-nutrition food0.235391
teen driving injuries0.344401
antiviral treatment0.238048
key role0.241646
highly trained disease0.342399
motor vehicle crashes0.627201
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13307 Centers for Disease Control and Prevention Html en Frequently Asked Questions | Chi Nav | CDC Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities
various CHI approaches0.381135
Health Needs Assessments0.532213
CHI planning efforts0.405997
Page0.55602
Health Improvement Navigator0.428127
health outcomes0.420519
County Health Rankings0.455184
CHI Navigator site0.410173
optimal health outcomes0.394545
Successful CHI Efforts0.911376
Navigator Database Sources0.38926
CHI Efforts section0.495021
risk factors0.451513
health systems0.396513
population health0.387841
Navigator database focus0.384604
Additional Tools0.412294
community health0.618217
Community Health Needs0.539419
collaborative CHI work0.397747
CHI Navigator Database0.533716
five-step CHI process0.446726
collaborative community health0.404784
CHI key concepts0.40246
tools0.561837
Internal Revenue Service0.483765
key concepts0.730298
CHI efforts.Visit Additional0.38112
CHI Navigator Tools0.468908
public health0.443038
triennial Community Health0.412861
health care0.392093
different CHI approaches0.380971
complex health issues0.380078
community partners0.383692
health0.762173
CHI process0.517564
community health assessments0.403123
CHI Navigator0.920269
comprehensive CHI tools0.406248
collaborative chi0.41072
community health centers0.39407
social support—increase health0.380736
final rule0.384297
interventions0.460921
Navigator database links0.384535
evidence-based interventions0.392093
public health science0.390576
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13319 Centers for Disease Control and Prevention Html en Viral Hepatitis Resource Center null
MPEG0.741242
site0.541063
PDF0.544429
PPT0.837268
DOC0.733754
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13774 Centers for Disease Control and Prevention Html en Controlled Substance Prescribing Patterns - Prescription Behavior Surveillance System, Eight States, 2013 Leonard J. Paulozzi, MD1.
high rates0.407303
data0.598506
long-acting opioid prescriptions0.533467
prescription drug misuse0.496586
drug overdose0.372217
commonly prescribed opioids0.385933
SA opioid prescriptions0.503916
groups opioid analgesics0.43545
prescription drug abuse0.400842
prescription drugs0.51951
public health surveillance0.406859
state0.649004
opioid analgesic tramadol0.426461
stimulants0.420942
Prescription Behavior Surveillance0.452291
benzodiazepines0.39633
daily dosage0.418105
Delaware0.417105
Unintentional Injury Prevention0.41288
LA/ER opioids0.409062
prescription drug monitoring0.64559
substance abuse treatment0.385443
lowest opioid0.384464
opioid prescribing rates0.787535
PDMPs0.431112
opioid overdose deaths0.408005
Injury Prevention0.413096
higher prescribing rates0.451144
daily opioid dosage0.503542
United States0.418177
age group0.409231
state Prescription Drug0.3946
states0.831173
West Virginia0.696388
Monitoring Program Center0.427906
multiple prescribers0.55273
public health0.525196
opioid prescriptions0.962322
prescription drug0.65772
state residents0.385825
LA/ER prescriptions0.398166
opioid analgesic category0.4209
opioid analgesics0.748659
LA prescriptions0.380878
Drug Monitoring Program0.445186
drug monitoring programs0.422844
PBSS0.519419
opioid prescribing occurs0.465381
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14198 Centers for Disease Control and Prevention Html en Using Electronic Health Records to Examine Disease Risk in Small Populations: Obesity Among American Indian Children, Wisconsin, 2007-2012 Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.
American Indian population0.582802
PHINEX database0.634048
geographic designation0.571821
high obesity rates0.565094
Health Data Exchange0.550853
American Indian patients0.603266
AMA PRA0.549703
census block group0.640894
Census American Community0.55042
high school education0.563025
non-Hispanic white populations0.55507
Health Information Exchange0.556909
logistic regression0.548318
obesity prevalence0.562807
obesity0.594187
block group level0.58629
body mass index0.568918
health care quality0.548188
insurance status0.547306
American Indian families0.560116
American Indians0.551758
electronic health0.594404
non-Hispanic white children0.846466
Public Health Information0.557198
electronic health record0.582933
disproportionately high obesity0.547806
health record data0.555632
federal poverty level0.562026
non-Hispanic white patients0.57879
EHR data0.56239
Health primary care0.547822
American Indian children0.97036
data sets0.557621
American Indian teenagers0.566644
American Indian data0.579114
health care0.616829
public health0.582407
American Indian records0.576015
economic hardship index0.595055
health0.63727
electronic health records0.575763
Indian Health Service0.56184
American Indian race0.58923
American Indian populations0.563872
American Indian members0.568052
childhood obesity0.570778
American Indian/Alaska Native0.564678
economic hardship0.647988
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15789 Centers for Disease Control and Prevention Html en Carbapenem-Resistant Enterobacteriaceae Transmission inHealth Care Facilities - Wisconsin, February-May 2015 |MMWR The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).
infection prevention staff0.582057
respiratory intensive care0.553554
clinical microbiology laboratories0.497516
laboratory-identified CRE events0.65778
WDPH personnel0.510043
certain CRE0.56595
particular CRE0.567383
interfacility transmission events0.487911
transmission events0.750014
carbapenemase-producing CRE0.73715
laboratory-based CRE surveillance0.7982
bacterial isolates0.541945
CRE culture0.594059
PCR testing0.514892
Hygiene laboratory-based CRE0.699709
related PFGE patterns0.613575
case fatality rates0.515855
intensive care unit0.53669
National Healthcare Safety0.481047
CRE transmission0.911329
infection prevention personnel0.503001
public health0.577223
polymerase chain reaction0.510878
closely related PFGE0.611563
critical access hospitals0.513003
WSLH laboratory-based CRE0.685761
patients0.563743
laboratory-identified CRE0.700774
Wisconsin State Laboratory0.521417
infection prevention0.750871
infection control measures0.532761
CRE transmission events0.682932
prevention staff members0.565217
statewide CRE surveillance0.617166
CRE0.91228
health care settings0.62585
high case fatality0.517504
CRE infections0.631332
southeastern Wisconsin0.588153
isolates0.557668
CRE surveillance program0.782577
report laboratory-identified CRE0.660055
pulsed-field gel electrophoresis0.609002
health care transmission0.520004
Healthcare Safety Network0.481039
low CRE prevalence0.610314
respiratory care0.492799
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15840 Centers for Disease Control and Prevention Html en Prenatal Diagnosis of Microcephaly Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention.
file0.200916
Prenatal Diagnosis0.832183
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16124 Centers for Disease Control and Prevention Html en Billing Codes | Diabetes National Diabetes Prevention Program
Ronald T. Ackermann0.663304
screening0.420323
S11-66. doi0.537458
Guide0.418501
official recognition0.533646
standardized diabetes prevention0.747987
York State Department0.632734
group setting—such0.51292
navigation Skip0.666505
identification0.419259
CDC-recognized lifestyle change0.606782
medical billing0.53255
intensive programs0.515946
York State Diabetes0.767957
Prediabetes Testing.0.519805
diabetes—20130.418658
list Skip0.667649
program curriculum0.513191
Health0.436193
New York State0.822162
page options Skip0.781543
CPT code 0403T0.624704
Ackermann RT0.573601
NYS DPP0.56714
permission0.426303
medical care0.518483
Standards0.418719
billing codes0.534336
NY Dept0.526476
preventive behavior change0.616459
intervention algorithm0.528869
diabetes prevention program0.930426
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