ARTICLES LIST

 

Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
702 Centers for Disease Control and Prevention Html en Seasonal Influenza Vaccination Coverage Among Women WhoDelivered a Live-Born Infant - 21 States and New York City, 2009-10and 2010-11 Influenza Seasons 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.
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influenza vaccination coverage0.866005
influenza vaccination data0.461318
H1N1 flu shot.0.272803
influenza vaccination postpartum0.44382
Weighted PRAMS data0.288202
seasonal influenza vaccination0.797046
New York City0.319963
vaccination coverage0.987757
vaccination promotion strategies0.409116
pregnant women0.72243
higher influenza vaccination0.444025
vaccination coverage levels0.378916
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vaccination rates0.341725
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pregnancy0.349482
Pregnant women experience0.33784
median vaccination coverage0.419292
vaccination coverage data0.398227
live births0.367256
live-born infant0.270743
Indu B. Ahluwalia0.307812
CDC PRAMS team0.273046
high seasonal influenza0.347928
PRAMS influenza supplement0.339169
states0.278077
postpartum women0.27415
Immunization Practices0.267605
Pregnancy Risk Assessment0.329904
Advisory Committee0.270255
recent live births0.26848
American College0.270292
PRAMS data0.300885
evidence-based vaccination promotion0.349343
state median response0.279631
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provider recommendation0.351103
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seasonal flu shot0.44074
common place women0.288947
state-specific seasonal influenza0.372038
influenza vaccine safety0.328481
public health efforts0.308462
median coverage0.26497
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6855 Centers for Disease Control and Prevention Html en CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0120 Several well-established determinants of health are associated with premature mortality. Using data from the 2010 County Health Rankings, we describe the association of selected determinants of health with premature mortality among counties with broadly differing levels of income.
county mortality data0.431086
lower premature mortality0.488074
Population Health Sciences0.358692
average premature mortality0.451721
county-level premature mortality0.458659
adverse health outcomes0.359038
CDC Compressed Mortality0.405283
higher income levels0.366972
household income levels0.454786
Prevention Compressed Mortality0.432243
4-year college degree0.377376
mortality disparities0.407114
health outcomes0.404858
County Health Rankings0.51305
higher premature mortality0.487669
premature mortality determinants0.461343
Disease Control0.359071
median household income0.594244
percentage0.374675
county-level income0.364643
health care0.465978
public health0.373585
multivariable regression0.357527
median annual household0.358229
variables0.357658
population health0.381715
Compressed Mortality database0.46513
federal poverty guidelines0.368544
high-income counties0.361263
mortality measures0.383269
health0.515404
income levels0.466262
annual household income0.385585
Gini index scores0.364765
scores income inequality0.400218
index scores income0.39205
Greater income inequality0.368512
overall mortality0.393562
better mortality outcomes0.400742
income groups0.444674
lower mortality rates0.417628
income inequality0.511764
population health model0.357571
age-adjusted mortality rate0.466962
premature mortality0.942408
counties0.424374
premature mortality rate0.515903
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7555 Centers for Disease Control and Prevention Html en Preventing Chronic Disease | Evaluation of Consumer Understanding of Different Front-of-Package Nutrition Labels, 2010"2011 - CDC Governments throughout the world are using or considering various front-of-package (FOP) food labeling systems to provide nutrition information to consumers. Our web-based study tested consumer understanding of different FOP labeling systems.
study0.559344
TL labels0.486856
intake label group0.477487
FOP labeling systems0.737801
Choices group0.600351
nutrition information0.557016
healthier product quiz0.59089
control group0.541977
complex MTL symbol0.451993
Correct answers0.49082
products0.70382
MTL+caloric intake groups0.537478
new FOP labeling0.488254
different FOP labeling0.508378
Choices logo0.489414
front-of-package label groups0.479847
MTL label0.455427
healthier products0.451289
post-hoc Tukey tests0.78974
Different FOP symbols0.469709
food labeling systems0.458858
participants0.669975
MTL+caloric intake group0.527394
groups preferred FOP0.460294
product0.702697
9-point Likert scale0.567933
daily calorie recommendation0.474757
MTL+caloric intake label0.676755
food category0.487141
study groups0.536592
groups0.668151
different FOP labels0.518322
calorie recommendation icon0.471247
calories0.455039
TL groups0.587187
Choices symbol0.987005
food0.605026
Dressing California French0.450772
specific nutrients0.500089
MTL+caloric intake0.964299
Chunky Grilled Sirloin0.542387
multiple traffic light0.797347
univariate ANOVA0.480441
label groups0.569749
FOP labels0.592835
Grilled Sirloin Steak0.540741
Health Valley Apple0.451593
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8782 Centers for Disease Control and Prevention Html en Microbes in Pool Filter Backwash as Evidence of the Need forImproved Swimmer Hygiene - Metro-Atlanta, Georgia, 2012 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.
free chlorine0.50787
saltwater-generated free chlorine0.308956
recreational water illness0.218119
acute gastrointestinal illness0.286469
pools0.368552
local environmental health0.411306
metro-Atlanta public pools0.339254
aquatics staff0.255789
E. coli0.907575
P. aeruginosa0.666101
pool filter backwash0.266099
P. aeruginosa detection0.207557
recreational water0.491342
Cryptosporidium spp.0.292077
public health standards0.481954
ultraviolet light disinfection0.204283
pre-swim shower0.220069
filter backwash samples0.806742
swimmers0.26621
local public health0.21061
maintain disinfectant level0.20225
RWI outbreaks0.25685
disinfectant level0.460706
traditional chlorine products0.331726
recreational water venues0.234315
environmental health specialists0.507855
pathogenic toxin–producing E.0.208757
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9116 Centers for Disease Control and Prevention Html en Announcement: New National Health Interview SurveyOccupational Health Supplement Topic Page 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.
mmwrq@cdc.gov.0.765203
endorsement0.672646
Human Services0.86616
assistive technology0.766627
National Health Interview0.91768
prevalence rates0.752493
sector profiles0.748022
U.S. Department0.863176
MMWR HTML versions0.856979
tables0.643509
new topic page0.878064
electronic PDF version0.842691
e-mail0.650564
Occupational Health Supplement0.939743
NIOSH0.674935
Additional information0.763933
Contact GPO0.767932
commercial sources0.738753
work-related health conditions0.914239
occupation subgroups0.757687
current prices0.735128
work organization factors0.866528
original paper copy0.851273
additional profile0.753039
appropriate attention0.733342
employer stakeholders0.746268
sector-level results0.751849
sector profile0.74525
U.S. Government Printing0.854823
original MMWR paper0.852002
Occupational Safety0.782877
MMWR readers0.747161
character translation0.731896
additional outcomes0.751367
pressing industry health0.910264
industry averages0.758901
National Occupational Research0.912437
format errors0.734971
subject line0.761514
small subsamples0.74572
typeset documents0.741575
trade names0.738858
subsectors0.639795
official text0.730253
organizational levels0.735814
contain charts0.746327
non-CDC sites0.738323
electronic conversions0.730622
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9403 Centers for Disease Control and Prevention Html es Mortalidad de indígenas urbanos de Canadá, 1991-2001. null
Naciones Originarias0.950724
National Aboriginal Health0.384625
Statistics Canada record0.336573
Health Rep0.450829
Sin embargo0.447212
urban aboriginal0.410662
Preventing Chronic Disease0.343978
Health Officer Annual0.333046
aboriginal populations0.371006
Aboriginal Health Organization0.386635
health research projects0.334525
health research discussion0.333508
Wilkins R0.391833
Young TK0.383809
Health Organization0.412594
World Health Organization0.366055
Health Canada0.349893
indígenas inuit0.413728
zonas urbanas Ã?reas0.359753
Services Canada0.342994
First Nations0.42742
Statistics Canada0.728191
Columbia Provincial Health0.332891
indígenas naciones originarias0.415008
Aboriginal health research0.397876
Health Council0.350083
Division Statistics Canada0.334066
Peters EJ0.333076
indígenas residentes0.838789
Public Health0.447192
Not strangers0.339388
Aboriginal peoples survey0.333668
Health Stat Q0.332832
Tjepkema M0.364511
health regions with0.333135
Policy Research Initiative0.367684
Statistics Canada Coverage0.338594
aparato circulatorio0.582267
Columbia Británica0.333496
aboriginal health0.602704
elevada mortalidad0.338705
Newhouse D0.357344
aboriginal canada0.343136
indígena única —y0.343787
chronic diseases0.368022
Asuntos Indígenas0.428891
Related Health Problems0.332684
Provincial Health Officer0.364843
Health Information0.355368
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11240 Centers for Disease Control and Prevention Html null CDC - Infografía "La verdad acerca del bronceado" El bronceado en interiores ha sido asociado a cánceres de piel como el melanoma (el tipo de cáncer de piel más mortal), el carcinoma basocelular y los cánceres de ojo (melanoma ocular).
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15269 Centers for Disease Control and Prevention Html en World Refugee Day | CDC Features CDC Promotes and Improves the Health of Refugees Every Day
public health issues0.633844
refugees0.76953
mental health0.550377
current global refugee0.700567
Brod transit center0.53599
newly arrived refugees0.634023
Health’s Division0.556105
Health Systems Recovery0.613547
United Nations Refugee0.735313
U.S. State Department0.543658
state health departments0.683986
refugee settings0.622367
refugee populations0.742495
public health systems0.785453
public health crises0.626523
emergency response0.542314
Migrant Health Branch0.621209
specific refugee populations0.671829
public health emergencies0.648254
reproductive health0.546192
Global Response Preparedness0.568247
health education messages0.59866
global humanitarian emergencies0.593352
refugee health0.989055
global public health0.749281
state public health0.611642
Domestic Program works0.542167
ERRB Branch Chief0.535824
United States0.679693
Environmental Health—coordinates CDC0.54875
Global WASH cluster0.558417
refugee health profiles0.838491
Refugee Health Coordinators0.737114
World Refugee0.75903
public health professionals0.610341
public health0.997603
Humanitarian Health Team0.620518
Kakuma Refugee Camp0.675227
Global Health Protection0.652607
U.S. state health0.613648
health education strategies0.592083
Global Rapid Response0.562146
refugee health programs0.738891
refugee health information0.745867
Global WASH Team0.574658
U.S.-bound refugees0.580884
Domestic Program0.617828
United Nations agencies0.54328
refugee resettlement agencies0.683185
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15666 Centers for Disease Control and Prevention Html en Update on Vaccine-Derived Polioviruses - Worldwide, January2015-May 2016 | MMWR The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).
paralysis onset0.422571
trivalent OPV0.449336
corresponding OPV strain0.460877
oral poliovirus vaccine0.602124
recent positive sample0.45368
routine vaccination coverage0.500588
immunodeficient source patient0.432607
VP1 region0.471052
AFP0.54664
polio virus type0.439867
Polio Laboratory Network0.542724
wild poliovirus type0.508608
VP1 substitutions0.457027
AFP cases0.545845
divergent vaccine-derived polioviruses0.450514
cVDPV outbreaks0.608337
OPV0.541329
reporting period0.490212
wild polioviruses0.430514
VP1 nucleotide sequences0.509788
VP1 nucleotide differences0.484379
low routine vaccination0.448598
genetic divergence0.432809
Global Polio Eradication0.622126
sensitive AFP surveillance0.432008
Polio Eradication Initiative0.617511
World Health Organization0.647275
environmental samples0.47111
new cVDPV outbreaks0.516254
highly divergent isolates0.430345
new iVDPV infections0.446226
VP1 divergence0.922704
low OPV coverage0.423272
AFP case0.535132
new cVDPV2 emergence0.463101
acute flaccid paralysis0.449876
vaccine-derived polioviruses0.516307
AFP patient0.428274
VP1 sequences0.468684
bivalent OPV0.449303
newly identified persons0.481178
Global Polio Laboratory0.544661
Regional Office0.465404
parental OPV strains0.484955
AFP clinical samples0.445701
polio eradication efforts0.432592
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16395 Centers for Disease Control and Prevention Html en Precision Medicine: What Does it Mean for Your Health? | CDC Eat Precision medicine, sometimes called personalized medicine, is an approach for protecting health and treating disease that takes into account a person’s genes, behaviors, and environment. Interventions are tailored to individuals or groups, rather than using a one-size-fits-all approach in which everyone receives the same care. But what does this mean and how can precision medicine protect your health?
certain diseases0.245925
certain newborn screening0.423431
disease outbreaks0.205732
Tracking Infectious Diseases0.316932
Tailoring Prevention0.206255
better track disease0.359397
heart disease0.363649
cystic fibrosis0.325495
familial hypercholesterolemia0.206601
certain medications0.248502
colon) cancer.0.344532
one-size-fits-all approach0.235897
patient sick0.203761
precision medicine approach0.63747
unique disease risks0.406021
Certain treatments0.220002
disease0.59895
gene variants0.312321
certain genetic changes0.367279
public health officials0.336674
people0.250652
certain medical conditions0.404027
BRCA2 mutation0.342255
family health history0.823866
family history0.200364
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