ARTICLES LIST

 

Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
4769 Centers for Disease Control and Prevention Html en Improving public health system performance through multiorganizational partnerships. null
partnerships target services0.589281
public health interventions0.594353
Partnerships program0.57502
government public health0.592789
incentives hinder partnerships0.607248
Rev Public Health0.572131
public health approaches0.587207
public health surveillance0.59088
multiple public health0.575685
public health systems0.593443
public health services0.586455
rural public health0.575779
population health0.603174
collective action0.578411
public health activities0.798134
BMC Public Health0.569778
public health functions0.579792
denser partnerships0.570908
Public Health Performance0.580858
public health practice0.581895
collaborative partnerships0.56761
community health0.569433
health care organizations0.593187
public health agencies0.703556
large-scale implementation partnerships0.587082
Public health delivery0.59074
cost savings0.566033
public health partnership0.582403
public health funding0.571333
public health partnerships0.804241
core public health0.581146
development partnerships0.574835
health insurers0.562451
implementation partnerships0.593007
public health professionals0.582288
public health0.935229
health care0.612181
multiorganizational partnerships0.569142
nonclinical public health0.581543
public health programs0.598697
public health actions0.572909
medical care0.568442
local public health0.632951
I. Public health0.573467
intersectoral partnerships0.583541
successful partnerships0.567374
public health settings0.574316
organizations0.601976
public health agency0.612905
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5241 Centers for Disease Control and Prevention Html en Measures of Adiposity and Cardiovascular Disease Risk Factors, New York City Health and Nutrition Examination Survey, 2004 null
racial/ethnic groups0.407757
national prevalence0.348965
lower prevalence0.374886
City adult population0.348057
York City Hispanics0.364138
central adiposity0.356588
high school education0.343659
NYC HANES0.452698
New York City0.997657
CVD risk0.581919
large New York0.3422
plasma glucose measurement0.342383
Nutrition Examination Survey0.406391
obesity0.395163
waist circumference0.633997
body mass index0.350506
elevated adiposity0.344448
elevated waist-to-height ratio0.587085
fasting plasma glucose0.342867
elevated waist circumference0.488323
associations0.346573
excess adiposity0.44456
adiposity measure0.381896
adiposity indicators0.36262
City adult residents0.356891
higher obesity prevalence0.357336
CVD risk factor0.353366
prevalence0.407952
York City adult0.406708
Renu K. Garg0.348658
different racial/ethnic groups0.353221
Elizabeth Needham Waddell0.346186
optimal adiposity measure0.353485
participants0.345075
R. Charon Gwynn0.348175
York City Health0.382369
annual household income0.342277
waist-to-height ratio0.624791
high prevalence0.342654
York City Department0.351479
national prevalence estimates0.344864
age-adjusted New York0.344551
noninstitutionalized New York0.368279
adiposity measures0.381024
York City adults0.434437
higher prevalence0.36138
CVD risk factors0.558605
hypertension0.350929
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6071 Centers for Disease Control and Prevention Html en Zinc stearate - NIOSH Pocket Guide to Chemical Hazards null
MPEG0.378858
search0.263099
PDF0.261307
PPT0.446092
DOC0.368812
information0.262482
different file formats0.938484
page0.276773
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7299 Centers for Disease Control and Prevention Html en CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0066 The variation in health outcomes among communities results largely from different levels of financial and nonfinancial policy investments over time; these natural experiments should offer investment and policy guidance for a business model on population health.
data collection efforts0.717313
data0.940679
human service programs0.599508
county0.578662
expenditure data0.650426
population health literature0.589648
health outcomes0.646614
WIC expenditures0.588434
Wisconsin Population Health0.595367
school districts0.653911
human health hazard0.579989
Health Services staff0.588171
possible expenditures0.585542
various health outcomes0.577845
population health0.878332
Community Health Data0.614656
population health resource0.602852
income tax credit0.610915
health statistics0.686045
health statistics information0.596517
annual expenditures0.585177
Community Health Improvement0.572055
expenditures0.879996
nonfinancial policy investments0.583917
Population Health Institute0.610457
Wisconsin-Madison Population Health0.565229
Medicaid health maintenance0.565946
expenditures data0.647218
Wisconsin Department0.611372
federal expenditures0.580338
population health expenditures0.68257
health investment relationships0.581975
Health Statistics Vision0.58211
information technology systems0.677855
local health departments0.720024
public health0.697762
Wisconsin0.641076
health care0.577499
total expenditures0.683937
health issue group0.567144
public expenditures0.621506
public health nursing0.597015
welfare program rules0.57869
health0.957019
human services0.822464
state expenditures0.666847
policy makers0.592868
capita expenditures0.777735
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7301 Centers for Disease Control and Prevention Html en MMWR News Synopsis: August 9, 2012 CDC Media Relations - MMWR News Synopsis: July 19, 2012
pre-exposure prophylaxis0.477615
international clinical trials0.534173
anti-HIV medication0.475621
alternative treatment options0.525597
cephalosporin resistance0.475597
Hispanic high school0.55886
tobacco control programs0.5716
National Center0.545378
middle school females0.555968
recent laboratory data0.52707
TB Prevention0.545938
Viral Hepatitis0.546661
black high school0.561362
PrEP interim guidance0.556475
injectable antibiotic0.486014
first-line treatment option0.534645
heterosexual sex0.477761
United States0.542838
gonorrhea0.509537
antiretroviral medication0.476286
News Media Line0.656868
key prevention services.0.53428
significant changes0.479465
CDC issues0.52469
STD Treatment Guidelines0.5412
new treatment options0.528817
CDC Division0.540419
percent0.531001
interim guidance0.581028
steep rate0.480954
slow decline0.482293
regular HIV testing0.544206
middle school0.656597
American middle school0.567975
11-year downward trend0.55875
final recommended class0.525304
tobacco product0.501441
middle school students0.568375
Electronic Media0.483653
high risk.  Physicians0.542407
high school students0.903243
HIV infection.  CDC0.597478
heterosexual sex.0.479598
oral antibiotic cefixime0.541061
high school females0.564181
steady funding cuts0.548754
time gonorrhea0.505725
middle school males0.557116
recent lab data0.523349
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8395 Centers for Disease Control and Prevention Html en About Advance Care Planning - Aging The primary audience for the Advance Care Planning course is public health and aging services professionals who serve adults and their families.
health education0.550542
various communities0.446595
Care Planning course0.51697
legal foundation0.446669
Page0.454195
Healthy Aging Program0.481481
commercial supporters0.469525
Course modules0.448876
Health Promotion0.452431
Disease Control0.566868
cph recertification credits0.626838
advance care planning0.924055
commercial services0.468608
services professionals0.491837
unlabeled product0.446827
community-based professionals0.451909
health care proxy0.50602
advance planning0.479294
education contact0.512038
Master Certified Health0.490873
commercial products0.471326
Public Health Professionals0.492928
primary audience0.450001
education requirements0.450305
Program Web site0.478183
advance directive0.473103
education activity0.451973
Secondary audiences0.447758
consumers plan0.445528
Certified Health Education0.537547
palliative care0.45446
education total Category0.48748
National Board0.474276
care planning documents0.569567
key laws0.445717
hospice care0.453503
Health Education Specialists0.540035
CDC provider number0.49487
public health0.5822
Health Education Credentialing0.50067
level continuing education0.492359
various types0.447098
advance directives0.470806
critical background information0.492435
effective advance care0.521938
education units0.451722
various laws0.44698
Public Health Examiners0.537711
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9576 Centers for Disease Control and Prevention Html en Preventing Chronic Disease | Gestational Age, Infant Birth Weight, and Subsequent Risk of Type 2 Diabetes in Mothers: Nurses™ Health Study II - CDC Women with a history of gestational diabetes mellitus (GDM) are at higher risk of developing type 2 diabetes (T2DM); however, little is known about the association between other common pregnancy complications (eg, preterm birth, macrosomia) and T2DM risk.
preterm birth0.934459
study participants0.487685
preterm infant0.494265
future T2DM risk0.495047
term birth weight0.501686
GDM0.505827
nonnormal birth weight0.541162
first-pregnancy preterm0.49148
gestational age0.621627
T2DM risk0.577038
risk factors0.500228
body mass index0.527332
pregnancy0.612032
postterm birth0.52171
extreme preterm delivery0.484795
gestational diabetes mellitus0.545503
term low birth0.58008
preterm births0.484486
spontaneous preterm birth0.542519
J. Preterm delivery0.486119
supplemental questionnaire0.496875
infant birth weight0.536467
common pregnancy complications0.483339
Cox proportional hazards0.489781
birth weight share0.490975
proportional hazards models0.490509
women0.615434
T2DM0.613037
study0.560947
moderate preterm birth0.643518
diabetes mellitus0.665344
Health Study0.488498
gestational diabetes0.662891
pre-pregnancy body mass0.491018
pregnancy complications0.567016
preterm delivery0.530959
birth weight0.864053
biennial questionnaires0.487939
Diabetes Care0.481159
previous preterm birth0.523835
birth weight infant0.50111
incident diabetes mellitus0.489999
study population0.486708
moderate preterm delivery0.497836
family history0.481317
normal birth weight0.481074
et al0.578184
risk0.66696
American Diabetes Association0.494466
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9641 Centers for Disease Control and Prevention Html en TB Cases Reported as Diagnosed During Incarceration | CDC Features Tuberculosis (TB): Diagnosing and Treating TB in Correctional Facilities is a Key Component to TB Elimination in the United States.
federal prison0.750239
juvenile detention0.546899
tribal jails0.544436
types0.343325
state prison0.773793
list Skip0.71979
page options Skip0.932493
military stockades0.522204
federal park facilities0.675836
type0.382544
navigation Skip0.721577
Figure0.345142
persons0.343155
correctional facility0.768284
local jail0.775038
TB diagnosis0.541906
police lockups0.522658
correctional facilities0.587572
time0.385226
ICE custody0.982999
chart0.343409
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13905 Centers for Disease Control and Prevention Html en Scale-up of HIV Viral Load Monitoring - Seven Sub-SaharanAfrican Countries The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians.
viral load monitoring0.823742
information management systems0.350664
sub-Saharan African countries0.333609
laboratory information management0.353256
post–scale-up periods0.344874
Global HIV/AIDS0.37015
viral load0.935379
viral load platforms0.455272
early ART initiation0.33624
viral suppression0.497149
scale-up hindered progress0.34975
load testing coverage0.39744
health care providers0.33095
National Health Laboratory0.335205
laboratory database0.332684
World Health Organization0.337033
load monitoring coverage0.390317
Global Health0.36645
viral load assay0.476059
countries0.360348
Inefficient specimen transport0.332884
post–scale-up period0.370315
HIV treatment recommendations0.331009
Namibia0.331544
South Africa0.460331
viral load results0.460902
viral load test0.460828
global diagnostic access0.335068
viral load suppression0.526276
CУДte d'Ivoire0.429164
national monitoring strategy0.363737
routine viral load0.717729
viral suppression rates0.406093
laboratory information systems0.332993
sub-Saharan Africa0.376556
HIV RNA concentration0.332302
load testing gap0.383678
viral suppression levels0.438408
CDC laboratory liaisons0.337729
viral load testing0.722579
laboratory-confirmed viral suppression0.41771
specimen transport0.375669
patient management0.337141
pre–scale-up period0.361691
viral load technologies0.454055
ART patients0.413699
load monitoring scale-up0.501655
HIV infection0.375783
viral load scale-up0.511302
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15431 Centers for Disease Control and Prevention Html en Our Work | IMMPaCt | CDC This page provides information about IMMPaCt's projects. Learn more...
various food vehicles0.63139
FFI’s Executive0.674844
various technical workgroups0.667693
nutrition biomarkers0.582509
country projects0.536662
mineral nutrition0.649644
Mineral Nutrition Information0.638955
global guidelines0.548221
global frameworks0.544813
iodine deficiency worldwide0.680535
UNICEF’s Nutrition0.572998
cooperative agreement0.632835
Micronutrient Initiative0.779584
World Health Organization0.623661
U.S. food fortification0.747951
research activities0.598584
home fortification0.747515
program development0.536558
Food Fortification Initiative0.974572
global partners0.543939
global forum0.560689
iodine status0.560708
micronutrient assessments0.636924
technical resources0.535228
iodine sufficiency0.568289
country level activities0.627582
key member0.535906
technical support0.564864
micronutrient adequacy0.683365
technical assistance0.854218
Inorganic Toxicology Lab0.603031
micronutrient program effectiveness0.73959
in-country projects0.54313
industrially milled cereal0.661895
Improved Nutrition0.538486
mass food fortification0.741242
Board chair position0.615488
global-level nutrition projects0.664955
IMMPaCt0.726902
Global Alliance0.54267
Iodine Deficiency Disorders0.681823
Micronutrient Forum0.762104
U.S. population0.588087
various global documents0.677367
multi-sector partners0.54766
Nutritional Biomarkers Lab0.636318
Management Team0.535754
FFI vision0.676924
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