ARTICLES LIST

 

Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
4728 Centers for Disease Control and Prevention Html en Breastfeeding: Data: Breastfeeding Report Card | DNPAO | CDC null
community members0.342381
CDC Breastfeeding Report0.735557
public health practitioners0.466011
key community settings0.446131
breastfeeding practices0.540649
interactive tool0.319451
latest rates0.323935
variety0.219206
child care providers0.467359
Trends0.247966
Healthy People0.332037
Card indicators measure0.454667
obesity0.22431
goals0.221083
National Immunization Survey0.664883
health professionals0.344178
family members0.343264
U.S. infants0.328506
types0.221295
Immunization Survey data0.468854
DNPAO National Immunization0.465636
state-specific data0.440703
Breastfeeding Report Card0.90573
Indicator Category0.329581
view statistics0.321104
Survey web page0.433228
physical activity0.318631
breastfeeding data0.568352
support0.219847
state-level data0.377912
current data0.348232
Maps database0.327017
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4969 Centers for Disease Control and Prevention Html en Barriers to colorectal cancer screening: physician and general population perspectives, New Mexico, 2006 null
CRC testing0.487735
electronic medical records0.483249
New Mexico BRFSS0.501863
upper age limit0.502456
primary care providers0.588708
CRC screening decision0.587979
New Mexico VA0.49121
physician respondents0.519209
barium enema0.500531
CRC screening0.894644
Prevention Initiative CRC0.496478
Clinical Prevention Initiative0.511819
patients0.55038
Cancer Screening Practices0.560214
markedly different perspectives0.48288
CRC incidence0.499643
primary care physicians0.635761
new CRC cases0.525478
respondents0.584176
BRFSS respondents0.492092
New Mexico Cancer0.491576
fecal occult blood0.485411
average-risk patients0.51859
cancer screening beliefs0.56773
screening barriers0.578602
cancer screening0.585632
screening tests0.526552
home FOBT0.492296
lower endoscopy0.548546
general population0.505856
flexible sigmoidoscopy0.525799
screening practices0.668128
CRC screening practices0.65687
state-specific CRC screening0.632645
effective screening0.549411
colonoscopy0.483917
health care0.483544
New Mexico School0.492657
health0.485736
barriers0.602525
New Mexico0.984575
screening procedures0.533417
primary care0.72679
low screening proportions0.573358
screening rates0.55476
physician survey0.516656
higher screening rates0.538624
New Mexico Department0.611365
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4991 Centers for Disease Control and Prevention Html en Radiation Emergencies - Protecting Yourself and Your Family Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC).
pets0.402189
disaster situations0.907171
local officials0.849797
radiation emergency0.851651
specific actions0.888701
ones0.469126
people0.471712
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7611 Centers for Disease Control and Prevention Html en Years of Potential Life Lost from Unintentional Injuries Among Persons Aged 0-19 Years - United States, 2000-2009 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.
injury prevention programs0.391293
motor vehicle traffic0.447481
unintentional injuries0.928281
South Central states0.459102
premature injury death0.398255
annual population estimates0.387437
YPLL rate0.503049
national YPLL rate0.414903
injury–related crude mortality0.450827
YPLL rates0.512102
transport-related injuries0.404343
National Vital Statistics0.466153
unintentional firearm0.43048
unintentional injury–related crude0.524368
injury prevention strategies0.524096
Nagesh N. Borse0.440291
Unintentional Injury Prevention0.474342
persons0.526657
lowest YPLL rates0.405284
crude mortality rate0.449419
Childhood Injury Prevention0.427331
pedestrian injuries0.397265
Unintentional injury deaths0.494777
suffocation injuries0.416016
United States0.573068
potential life0.480326
age group0.408696
100,0000.400459
injury mechanism0.42389
premature death0.391274
motor vehicle0.523679
YPLL rate calculations0.41545
highlights childhood causes0.387299
5-year age groups0.391076
multiple cause0.387289
injury prevention0.589242
local health departments0.43696
highest YPLL rates0.404371
Unintentional childhood injuries0.521098
adjacent states0.39029
South Dakota0.43105
Mountain states0.391692
5-year age0.391216
young persons0.43718
simple method0.390021
nonfatal injuries0.441237
American Indian/Alaska Native0.464873
death files0.395018
National Action Plan0.425231
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8823 Centers for Disease Control and Prevention Html en Preventing Chronic Disease | Use of Practice-Based Research Network Data to Measure Neighborhood Smoking Prevalence - CDC Practice-Based Research Networks (PBRNs) and health systems may provide timely, reliable data to guide the development and distribution of public health resources to promote healthy behaviors, such as quitting smoking. The objective of this study was to determine if PBRN data could be used to make neighborhood-level estimates of smoking prevalence.
logistic regression model0.63639
data0.700094
overall smoking prevalence0.641904
Patient smoking status0.599791
Risk Factor Surveillance0.596099
community-level smoking prevalence0.653606
Harvard Medical School0.594824
smoking status0.762497
market share0.610593
state health departments0.601173
BRFSS population-based estimates0.616031
BRFSS prevalence0.597404
behavioral risk factors0.64142
health systems0.640306
population smoking data0.605777
annual population-based data0.597134
undocumented smoking status0.59468
smoking status documentation0.609056
Massachusetts General Hospital0.593822
population-based estimates0.640062
Care PBRN practices0.617491
practice-based research networks0.605088
health system data0.605215
Behavioral Risk Factor0.597609
PBRN prevalence0.60287
smoking prevalence0.923288
health record data0.607147
multiple health systems0.612663
Partners Primary Care0.766963
EHR data0.608178
percentage points0.610302
smoking prevalence estimates0.675449
national smoking prevalence0.632061
routine clinical care0.633211
public health0.654463
health care0.63255
population smoking prevalence0.645179
PBRN data0.685057
health0.712323
neighborhood-level smoking prevalence0.738452
neighborhood smoking prevalence0.656878
practice-based smoking prevalence0.653992
public health data0.611454
PBRN estimates0.599589
regional smoking prevalence0.62891
primary care0.78436
population-based smoking prevalence0.697837
neighborhood smoking status0.614368
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11792 Centers for Disease Control and Prevention Html en Surveillance and Preparedness for Ebola Virus Disease - NewYork City, 2014 On October 14, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr).
clear reporting criteria0.427993
Ebola surveillance0.560902
Jennifer C. Baumgartner0.447418
New York City0.46414
MMWR Early Release0.453649
infection control guidance0.431619
health care providers0.698071
laboratory studies0.433873
citywide conference calls0.430647
West African immigrants0.455142
health care community0.48425
F. Kennedy International0.43349
Isaac Benowitz0.444424
health care facilities0.496085
low-risk exposure0.44037
health care settings0.49989
electronic health0.469059
Ebola patients0.737469
Ebola0.824322
Jay K. Varma0.446069
Ebola virus disease0.654863
alternate diagnoses0.436204
affected area0.429403
infection control0.443698
Ebola cases0.570302
recent travel history0.445553
emergency medical services0.442733
Ebola case0.569331
Sharon E. Balter0.452081
infection control precautions0.433143
viral hemorrhagic fever0.43475
health care workers0.637277
Scott A. Harper0.448699
local hospitals0.442358
health care0.99183
travel history0.487191
electronic health alert0.46415
Ebola-affected country0.446089
New York0.540533
Lucretia E. Jones0.453748
American health care0.522303
Public Health Preparedness0.472418
Ellen H. Lee0.44708
local health care0.48883
Ebola testing0.61777
West Africa0.57623
DOHMH medical epidemiologists0.457572
Ebola-specific data collection0.435022
MD20.444716
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12398 Centers for Disease Control and Prevention Image null Measles Move Fast (616W x 1241H) null
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14375 Centers for Disease Control and Prevention Html en Hunger and Behavioral Risk Factors for NoncommunicableDiseases in School-Going Adolescents in Bolivia, 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.
significantly greater odds0.457993
public health interventions0.455356
United Nations0.489144
vegetable consumption0.932331
complex sample design0.455651
SAS Institute Inc.0.452719
nondaily fruit0.830884
odds ratio0.480919
daily sugar-sweetened soda0.585344
Urban Public Health0.450668
fully conditional specification0.451923
lowest hunger prevalence0.601621
global school-based student0.644886
sugar-sweetened soda consumption0.740797
overall survey response0.462516
school-going adolescents0.489156
greater odds0.466348
behavioral risk factors0.778553
risk factors0.823792
World Health Organization0.597194
body mass index0.459364
response rate0.50305
current tobacco users0.481115
current alcohol0.513523
various risk factors0.461705
highest hunger prevalence0.59786
hunger0.987769
traditional behavioral risk0.483494
school response rate0.455376
household food insecurity0.930803
communicable disease burden0.468721
current tobacco0.889143
hunger contributes0.532655
adequate physical activity0.477893
Bolivia0.580603
nationally representative survey0.469468
school-based student health0.644662
public health0.455414
multivariable logistic regression0.612557
AOR0.54175
Student Health Survey0.640592
sample design0.472783
hunger status0.542236
growth reference data0.465214
physical activity0.516516
Health Organization child0.472352
school meal programs0.545536
poorer general health0.459541
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15332 Centers for Disease Control and Prevention Html en Motor Vehicle Crash Deaths | VitalSigns CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics.
great public health0.630669
car seat0.712177
major risk factors0.608381
booster seat0.71973
20th century0.567768
high—income countries*0.563794
MV PICCS0.556126
comparison countries0.685465
size-appropriate car seats0.62843
risk factors0.622929
direct medical costs0.722438
Support traffic safety0.603899
Police officers0.559887
crash deaths0.990686
motor vehicle safety0.617856
booster seats0.675968
car seats0.668743
safe teen driving0.607207
population size0.55818
crash death rate0.687055
New Zealand0.56321
View large image0.609496
impaired driving0.56818
high—income countries0.57127
Motor Vehicle Prioritizing0.614985
Lower death rates0.621596
seat belts0.739706
high-income countries0.71647
Obey speed limits0.729701
cell phone0.620922
motor vehicle0.777901
motor vehicle injury0.618714
vehicle crash deaths0.772238
registered vehicles0.561083
pre-set low limit0.610104
drunk driving0.686149
text description0.559679
federal partners0.558763
United Kingdom0.622323
Zero—a road safety0.602567
lower BAC levels0.615541
define drunk driving0.612882
visible police presence0.599264
average rate0.562187
seat belt0.918047
highest death rate0.614677
enforcement seat belt0.717071
high percentage0.56533
motor vehicle crashes0.644561
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15592 Centers for Disease Control and Prevention Html en Type 2 Diabetes: All in the Family? null
family members0.716599
risk factors0.431036
certain habits0.471154
lifestyle coach0.431206
share experiences0.411363
Diabetes Program0.719725
type0.365761
mm Hg0.491318
Family history0.4361
healthy lifestyle—including0.436429
good news0.438084
physical activity0.435476
National Diabetes Prevention0.931271
lifestyle changes0.435169
better checkups0.462223
high blood pressure0.727292
CDC Diabetes0.809017
diabetes0.972951
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