ARTICLES LIST

 

Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
1206 Centers for Disease Control and Prevention Html en Preventing Chronic Disease | Prevalence Estimates of Gestational Diabetes Mellitus in the United States, Pregnancy Risk Assessment Monitoring System (PRAMS), 2007"2010 - CDC The true prevalence of gestational diabetes mellitus (GDM) is unknown. The objective of this study was 1) to provide the most current GDM prevalence reported on the birth certificate and the Pregnancy Risk Assessment Monitoring System (PRAMS) questionnaire and 2) to compare GDM prevalence from PRAMS across 2007–2008 and 2009–2010.
birth certificate data0.411646
lowest prevalence0.392095
maternal age0.350917
PRAMS ascertains0.37105
highest prevalence0.398469
PRAMS researchers0.378411
lower prevalence0.379772
PRAMS questionnaires0.393341
PRAMS states0.386166
Pregnancy Study Groups0.355299
percent positive agreement0.356093
significant difference0.353629
New York City0.421014
lower GDM prevalence0.523718
PRAMS excludes women0.387642
PRAMS working group0.37891
population-based prevalence estimates0.418707
GDM rates0.448762
birth certificate variable0.363132
true GDM prevalence0.535356
PRAMS questionnaire0.480623
highest prevalence estimates0.391101
gestational diabetes mellitus0.401577
current GDM prevalence0.569649
GDM diagnoses0.449602
PRAMS phase0.497672
live births0.361971
GDM diagnosis0.556422
PRAMS questions0.379253
lowest prevalence estimate0.388807
percent negative agreement0.354942
United States0.38451
GDM prevalence estimate0.516013
impaired glucose tolerance0.352002
true prevalence0.421021
Pregnancy Risk Assessment0.363579
gestational diabetes0.46173
PRAMS data0.393504
glucose tolerance0.357932
GDM question0.477969
diagnostic criteria0.351994
birth certificate0.733193
PRAMS0.530557
GDM likely lies0.456683
GDM prevalence estimates0.562984
lowest GDM prevalence0.530324
CDC PRAMS Team0.377366
PRAMS survey participants0.385688
GDM prevalence0.901141
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4431 Centers for Disease Control and Prevention Html en Diseases & Conditions A-Z Index - T CDC Diseases and Conditions A-Z Index
Error processing SSI0.844474
Whipworm Infection0.695359
Microsoft PowerPoint file0.507257
Clostridium tetani Infection0.787747
processing SSI file0.840166
(Tuberculosis)0.79044
[Trichomonas Infection]0.792526
Microsoft Word file0.510948
Search Form Controls0.667279
Sore Throat0.496332
Francisella tularensis Infection0.916905
Traumatic Brain Injury0.632565
Mountain Spotted Fever0.477934
Tuberculosis Training0.488865
A-Z Index0.837326
TB Surveillance Reports0.713414
Rickettsia rickettsii Infection0.780994
TB Education0.718204
Tapeworm Infection0.778311
(Lockjaw) Infection0.504767
[Babesia Infection]0.779905
Conditions A-Z Index0.733242
Microsoft Excel file0.505516
Tuberculosis Vaccine0.482777
Taenia Infection0.769373
Contact CDC0.496756
[Toxoplasma Infection]0.786741
Treponema pallidum Infection0.770349
Trachoma Infection0.704529
CDC Topics0.580114
Search The CDC0.53959
page options Skip0.51895
Form Controls TOPIC0.489686
Thoracic Aortic Aneurysm0.482725
different file formats0.508855
[Toxocara Infection]0.798568
Trypanosoma cruzi Infection0.764461
TB Testing0.719772
HIV Coinfection0.578144
Tuberculosis Skin Test0.557075
Apple Quicktime file0.50148
TB Data0.69168
Mycobacterium tuberculosis Infection0.85333
CDC A-Z0.616496
Dipylidium Infection0.708786
Adobe PDF file0.502944
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5334 Centers for Disease Control and Prevention Html en Two-tiered Testing Decision Tree for Lyme Disease Information on Lyme disease. Provided by the U.S. Centers for Disease Control and Prevention.
Lyme disease0.668968
figure0.439517
cases0.439015
Two-tier Testing Decision0.919067
IFA0.46616
IgG Western Blot0.880123
Enzyme Immunoassay0.686773
alternative diagnosis0.626384
IgM Western Blot0.931599
test yields0.657426
steps0.4516
symptoms0.500039
convalescent serum0.681099
provider0.467048
patient0.564379
options0.437268
Tree0.443816
Immunofluorescence Assay0.693882
EIA0.466421
negative results0.624323
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7620 Centers for Disease Control and Prevention Html en Global Health - Kenya - Blog: Putting Nomadic Pastoralists on the Map null
existing data sources0.477779
census data0.595299
pastoralist movement0.408136
civil conflict figure0.459282
routine services0.41097
Global Immunization Division0.522556
clinical services0.408893
culturally familiar context0.485946
health care providers0.845629
health care access0.532328
previously unrecorded locations0.473307
health care services0.696649
health facilities0.446397
mobile groups0.409157
polio cases0.436477
U.S. CDC-Kenya Office0.521608
Google Earth imagery0.462723
nomadic pastoralists0.627251
polio surveillance0.430005
Mobile populations0.41152
urgent health needs0.542706
Lab Training Program0.510338
smaller livestock0.4116
human health providers0.527118
northern Nigeria0.553467
Nigeria Field Epidemiology0.561963
nomadic groups0.449644
pastoralist children0.419023
grazing area0.407524
sedentary populations0.408977
Health care systems0.572041
pastoralist districts0.411192
Nomads Project0.414115
polio immunization coverage0.528422
nomadic pastoralist tribes0.555785
Kenyan agricultural expert0.469366
traditional nomadic routes0.536573
health care0.980386
recurrent seasonal migration0.478801
District Production Livestock0.478368
health education opportunities0.521829
KENYA BLOG0.462695
polio virus0.439399
veterinary health providers0.527543
NGO partners0.408455
grazing areas0.498164
Dr. Chris Ajele0.469022
public health challenge0.523774
bilateral government0.408139
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10825 Centers for Disease Control and Prevention Html en Health, United States, 2013 includes special section on prescription drugs CDC announces second imported case of Middle East Respiratory Syndrome (MERS) in the United States
key health measures0.461017
insurance coverage0.382864
high cholesterol0.404893
commonly used classes0.470258
Disease Control0.396567
prescription drugs0.975827
private sector.0.38116
federal government0.378979
commonly used prescription0.66662
Americans0.334578
cholesterol-lowering drug0.424065
reproductive health0.39346
health expenditures0.397515
life expectancy0.384328
medical visits0.388846
statin drugs0.472277
private sector0.39105
prescription drugs.  Key0.54256
birth rates0.383239
blood thinners0.391139
Drug poisoning deaths0.453473
health care utilization0.462962
United States0.485772
37th annual report0.480251
age group0.387238
adults0.46668
common prescription drugs0.653739
kidney disease0.391421
percent0.523518
Cardiovascular agents0.403956
federal health agencies0.490054
Health Statistics.0.41248
heart disease0.393165
U.S. DEPARTMENT0.383604
comprehensive report0.406267
cardiovascular disease0.414622
health risk behaviors0.463139
cold symptoms0.390972
health data0.412318
retail prescription drugs0.582758
cardiovascular agent0.485006
opioid analgesics0.413377
annual growth0.382546
antidepressants0.341811
special section0.396767
high blood pressure0.467424
Prevention’s National0.397877
Human Services0.481474
past decade0.387914
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11600 Centers for Disease Control and Prevention Html en Influenza Vaccination Coverage Among Health Care Personnel —United States, 2013–14 Influenza Season Carla L. Black, PhD1, Xin Yue, MPS, MS1, Sarah W. Ball, ScD2, Sara M.
influenza vaccination coverage0.853794
general HCP personnel0.497781
clinical HCP0.552274
volunteer HCP members0.491506
employer vaccination policies0.439416
vaccination coverage0.868234
Internet panel survey0.631414
influenza vaccination levels0.428981
nonclinical HCP0.512474
vaccination status0.403458
population Internet panels0.30528
opt-in Internet panels0.381278
Comprehensive vaccination strategies0.433792
HCP vaccination coverage0.730905
nurse practitioners/physician assistants0.305596
facilities offering vaccination0.397908
HCP population0.466074
employer vaccination requirements0.423527
HCP0.996707
health care settings0.423264
vaccination promotion0.424486
free on-site vaccination0.449044
unvaccinated HCP0.482865
Internet panels0.387222
HCP working0.510548
vaccination availability0.401165
vaccination0.895765
higher HCP vaccination0.633843
overall HCP influenza0.536686
vaccination requirements0.472472
higher vaccination coverage0.474228
ascertain vaccination promotion0.405676
food service workers0.316509
on-site vaccination0.449209
self-reported influenza vaccination0.464187
HCP influenza vaccination0.751892
Nonclinical personnel††0.308731
work settings0.347349
clerical support workers0.316708
seasonal vaccination coverage0.429918
general population Internet0.308658
vaccination promotion trend0.404484
occupation type0.344463
Carla L. Black0.310489
Professional clinical HCP0.535935
Internet panel sources0.312919
influenza vaccination0.868462
clinical personnel0.312014
LTC settings0.543738
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12626 Centers for Disease Control and Prevention Video en Director's Briefing: Obesity Rates among Preschoolers CDC works 24/7 to save lives and protect people. This month's Vital Signs (www.cdc.gov/vitalsigns/) has good news: Obesity rates are decreasing among our nation's low-income preschoolers. The federal WIC program has improved nutritional standards, and communities across the nation are taking action --increasing breastfeeding rates, improving nutrition and physical activity in child care, and keeping school playgrounds open during non-school hours, just to name a few ways that have been proven to work. Still, 1 in 8 preschoolers is obese. Obese children are more likely to become obese adults and have lifelong physical and mental health problems. Communities must continue to help our children thrive. 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=d445ad0752089116bffffe71aed0766420130801162439812
Obesity Rates0.936452
Preschoolers0.814786
Director0.36933
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12869 Centers for Disease Control and Prevention Html en Preventing Chronic Disease | Diet Quality and History of Gestational Diabetes Mellitus Among Childbearing Women, United States, 2007"2010 - CDC 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.
total HEI-2010 diet0.478316
dietary guidelines0.487935
component diet quality0.527397
diet quality score0.607412
type0.472232
chronic disease risk0.471897
GDM0.753096
previous borderline GDM0.559862
overall diet quality0.776915
Disease Control0.473614
overall average diet0.471683
smoking status0.481597
Introduction Women0.467607
Nutrition Examination Survey0.514974
national health0.492312
history0.630027
gestational diabetes mellitus0.592789
total HEI-2010 score0.474853
childbearing women0.489815
GDM diagnosis0.533982
linear regression models0.506958
total diet quality0.492787
women0.740171
high school graduate0.466918
United States0.5296
poorer diet quality0.494736
maternal diet quality0.484369
GDM data0.535315
lower diet quality0.504048
sugar diabetes0.483849
Healthy Eating Index0.475926
recent live infant0.479031
average diet quality0.505455
recent gestational diabetes0.479796
Massachusetts Medical School0.526025
borderline diabetes0.482732
Diabetes Care0.478153
health0.521304
HEI-2010 diet quality0.519662
poor diet quality0.574225
24-hour dietary recall0.47941
physical activity0.472994
current diet quality0.502472
MyPyramid Equivalents Database0.467061
diet quality0.943228
American Diabetes Association0.480915
diabetes0.612957
good-quality overall diet0.474945
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13424 Centers for Disease Control and Prevention Html en Colorectal Cancer Identification Methods Among KansasMedicare Beneficiaries, 2008&ndash2010 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.
CRC screening recommendations0.561042
CRC testing0.517332
CRC test0.738479
CRC test procedure0.547117
CRC identification classification0.569802
Kansas Medicare beneficiaries0.420925
double-contrast barium enema0.449353
CRC mortality rates0.572427
CRC diagnosis0.568518
ICD-9-CM diagnosis codes0.409492
population-based Kansas Cancer0.393441
multiple CRC primaries0.563521
diagnostic-identified CRC0.517795
routine cancer screening0.386286
CRC screening0.786901
Kansas Medical Center0.430404
CRC incidence0.546631
New CRC cases0.603857
population-based registry records0.412498
diagnostic workup0.383203
prior invasive CRC0.558433
CRC0.998697
CRC outcomes0.544985
claims history0.407253
logistic regression analysis0.422218
administrative claims data0.48101
surveillance-identified CRC0.556501
CRC tests0.6491
invasive CRC0.57941
CRC cases0.854582
CRC screening test0.618102
CRC patients0.537856
National Cancer Institute0.405338
Kansas Cancer Registry0.566694
CRC prevention0.564944
screening/surveillance-identified CRC0.671666
colonoscopy indication0.383603
multiple logistic regression0.388419
CRC symptom ICD-9-CM0.560496
population-based cancer registry0.471776
60-day window0.406908
CRC screening rates0.639759
population-based CRC cohort0.557192
CRC identification0.856771
Medicare-linked CRC cases0.718848
CRC test indication0.605763
CRC symptom diagnosis0.576079
CRC identification methods0.787166
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13553 Centers for Disease Control and Prevention Video en Protective Actions for Radiation Emergencies - Get Inside, Stay Inside, Stay Tuned | Video An accident at a nuclear power plant, a nuclear explosion, and a dirty bomb are examples of radiation emergencies. If a radiation emergency happens nearby, immediately leaving the area may not be the best course of action. Instead, emergency response officials may tell you to get inside a building and take shelter for a period of time. This is called sheltering in place. In this segment, you’ll learn how to get inside, stay inside, and stay tuned to protect yourself and your family. Other videos focused on protective actions for radiation emergencies can be found here: http://emergency.cdc.gov/radiation/protectiveactions.asp 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://www.cdc.gov/wcms/videos/low-res/NCEH/2015/get_inside_stay_inside_stay_tuned_922280.mp4
Protective Actions0.709571
Stay Tuned0.909007
Radiation Emergencies0.738127
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