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Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
883 Centers for Disease Control and Prevention Html en H7N9: In the News News and spotlight articles related to Avian Influenza A (H7N9) - CDC
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970 Centers for Disease Control and Prevention Html en Alcohol-Attributable Deaths and Years of Potential Life Lost- 11 States, 2006-2010 Katherine Gonzales, MPH1, Jim Roeber, MSPH2, Dafna Kanny, PhD3, Annie Tran, MPH4, Cathy Saiki, MS5, Hal Johnson, MPH6, Kristin Yeoman, MD7, Tom Safranek, MD8, Kathleen Creppage, MPH9, Alicia Lepp10, Tracy Miller, MPH10, Nato Tarkhashvili, MD11, Kristine E. Lynch, PhD12, Joanna R. Watson, DPhil13, Danielle Henderson, MPH14, Megan Christenson, MS, MPH15, Sarah Dee Geiger, PhD16 (Author affiliations at end of text).
fewer AAD0.577619
alcohol retailers0.534878
median YPLL rate0.783244
Routine monitoring0.527712
alcohol-attributable health outcomes0.617988
national AAF data0.497815
median AAD rates0.746599
working-age adults0.524325
Preventive Services Task0.624883
evidence-based prevention strategies0.624266
deaths0.567801
annual state rates0.502868
state median YPLL0.684113
AAD0.950524
AAF0.503929
state median AAD0.745975
median YPLL rates0.623872
average annual AAD0.63273
dram shop liability0.627912
sex-specific AAD estimates0.646694
related harms0.556952
United States0.49811
100,0000.640641
age-adjusted median AAD0.785541
alcohol consumption0.569551
alcoholic beverages0.570887
Alcohol-Related Disease Impact0.502979
states0.582809
excessive alcohol0.812668
ARDI application0.517935
excessive drinking0.674088
Excessive alcohol consumption0.563924
average annual rates0.506226
intoxicated patrons0.526733
alcohol-attributable deaths0.504636
alcohol outlet density0.635833
median age-adjusted YPLL0.618198
ARDI0.546216
South Dakota0.537946
Services Task Force0.626178
median rate0.57038
median AAD rate0.935375
median state rate0.645471
rate range0.502
age-adjusted AAD rate0.807925
New Mexico0.69002
Community Preventive Services0.628051
ARDI Custom Data0.531106
median alcohol-attributable death0.585212
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7989 Centers for Disease Control and Prevention Html en Notes from the Field: Multistate Outbreak of HumanSalmonella Typhimurium Infections Linked to Contact with PetHedgehogs - United States, 2011-2013 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.0.713675
State Dept0.710579
Human Services0.752775
assistive technology0.706811
Casey Barton Behravesh0.756849
infected animals0.705931
human isolates0.716121
U.S. Department0.853217
MMWR HTML versions0.76514
Salmonella infection0.726862
Health Inspection Service0.829933
direct contact0.7203
Michigan Dept0.706467
electronic PDF version0.764777
state health departments0.967851
Zoonotic Infectious Diseases0.762819
Salmonella transmission0.714289
ill persons0.702588
foodborne disease surveillance0.802802
hedgehog care0.70732
Contact GPO0.722289
safe handling instructions0.772038
Disease Epidemiology0.775744
Communicable Disease Epidemiology0.774625
Illness onset dates0.797248
median patient age0.783686
Health Inspection Svc0.793571
Minnesota Dept0.706925
Acute Disease Investigation0.768952
original paper copy0.758622
illness onset0.798934
Tara Creel Anderson0.894936
original MMWR paper0.77188
U.S. Government Printing0.768821
indistinguishable pulsed-field gel0.802216
various hedgehog breeders0.789395
human Salmonella Typhimurium0.840466
indirect contact0.730947
pet hedgehogs0.911899
Community Health0.714854
outbreak strain0.810966
Sally A. Bidol0.761698
subject line0.707465
Infectious Disease Epidemiology0.770539
elderly persons0.701277
national molecular subtyping0.790515
indirect transmission0.704991
infected hedgehogs0.814797
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8353 Centers for Disease Control and Prevention Html en Quiz: Autism- Alt Text Version - NCBDDD null
MPEG0.378858
search0.263099
PDF0.261307
PPT0.446092
DOC0.368812
information0.262482
different file formats0.938484
page0.276773
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9272 Centers for Disease Control and Prevention Html es Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0270 Volumen 10 — el 30 de mayo de 2013.
comunidad métodos0.899312
observaciones soparc0.935792
Estados Unidos0.771152
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10007 Centers for Disease Control and Prevention Html en Preventing Chronic Disease | Obesity Prevalence by Occupation in Washington State, Behavioral Risk Factor Surveillance System - CDC Data that estimate the prevalence of and risk factors for worker obesity by occupation are generally unavailable and could inform the prioritization of workplace wellness programs. The aims of this study were to estimate the prevalence of obesity by occupation, examine the association of occupational physical activity and a range of health behaviors with obesity, and identify occupations in which workers are at high risk of obesity in Washington State.
workplace health intervention0.491295
study0.48417
Washington workers0.483159
prevalence ratios0.515989
data0.494936
health intervention programs0.490994
occupation-specific obesity prevalence0.550289
state-level prevalence estimates0.488644
Risk Factor Surveillance0.483726
obesity prevention programs0.534199
protective services0.581028
occupations0.518977
higher obesity prevalence0.566768
lower obesity prevalence0.556049
BRFSS data0.489385
workplace wellness programs0.560854
abdominal obesity0.494928
truck drivers0.581759
Washington State workers0.48176
health diagnosing occupations0.517796
obesity prevalence0.763133
workers0.636448
health behaviors0.600073
obesity0.809742
occupational physical activity0.987168
Overall obesity prevalence0.587574
highest obesity prevalence0.559513
health0.635042
occupational physical activities0.510531
annual household income0.501672
occupational groups0.526402
worker obesity0.516562
significantly lower prevalence0.520258
health care costs0.493679
Washington State Department0.5193
physical activity0.993791
obesity risk factors0.585809
significantly higher prevalence0.492509
obesity epidemic0.494323
Washington State0.85263
leisure-time physical activity0.509334
physical activity level0.68034
higher obesity rates0.519736
multivariable prevalence ratios0.48578
Behavioral Risk Factor0.483297
Washington State BRFSS0.56123
workplace obesity prevention0.578693
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11301 Centers for Disease Control and Prevention Html en Disease Detective: Kelsey - CDC Responds to the 2014 Ebola Outbreak CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives.
community workers0.575719
Ebola symptoms0.721612
frightened local residents0.755979
boatmen0.444208
coffee plant0.560338
Ebola outbreak0.792949
symbolic gift0.555264
remote area0.599912
largely uneducated workers0.73455
different backgrounds0.559447
crazy time0.586527
Crammed0.452615
CDC training0.58011
muddy stream0.576816
fragile public health0.71695
West African nations0.729189
person0.526597
community health workers0.980757
Ebola patients0.730973
village leaders0.575352
Ebola0.955242
nerve wracking0.600085
small hotel0.585146
Guinea0.508355
post-natal care0.57616
Kelsey0.799407
Sierra Leone0.578544
treatment center0.561743
important key0.569044
CDC disease detective0.763551
important health messages0.71889
awful hemorrhagic fever0.749355
Sierra Leonean0.575334
dirt runway0.595205
epicenter0.442322
tiny plane0.595043
official language0.57249
worst roads0.590193
narrow river0.575338
three-hour drive0.616093
pickup truck0.60022
landing path0.594922
people0.632365
healthcare resources0.570275
international aid workers0.749511
grateful village chief0.688616
local language0.568438
area villages0.574212
suspected patient0.566466
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11962 Centers for Disease Control and Prevention Html en Inside Knowledge Campaign Gynecologic Cancer Comprehensive Brochure This 32-page brochure provides detailed information about each of the most common gynecologic cancers.
Knowledge campaign0.672333
non-CDC entities0.62835
CDC campaign0.776698
endorsement0.396364
independently created materials0.873349
Knowledge print ads0.92736
contractual agreements0.661941
Human Services0.616221
questions0.357885
Knowledge images0.61733
CDC’s Web0.885446
contact CDC-INFO0.635697
logos0.354854
federal policy0.624364
company0.353903
symptoms diaries0.649825
Knowledge fact sheets0.922763
buttons0.361569
brochures0.355848
individual0.353963
posters0.357216
campaign logo0.599364
way0.41315
PSAs0.42008
badges0.366232
third-party organizations0.634204
site0.362457
public service announcements0.909814
campaign resources0.644105
print disks0.654773
Content0.362916
online0.362097
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13455 Centers for Disease Control and Prevention Html en National, Regional, State, and Selected Local AreaVaccination Coverage Among Adolescents Aged 13-17 Years - UnitedStates, 2014 Sarah Reagan-Steiner, MD1; David Yankey, MS1; Jenny Jeyarajah, MS1; Laurie D. Elam-Evans, PhD1; James A. Singleton, PhD1; C.
HPV exposure0.255696
routinely recommended vaccines0.223478
strong vaccination recommendations0.220954
age-specific HPV vaccination0.347992
adequate provider data0.347936
HPV vaccine0.471592
HPV vaccine dose0.361403
cell phone0.230416
medical records.** Coverage0.201671
routine HPV vaccination0.349126
percentage points0.26062
Indian/Alaska Native adolescents0.219385
vaccination provider contact0.244813
black female adolescents0.218031
HPV vaccine administration0.290527
MenACWY dose0.241917
HPV dose0.488429
HPV vaccine safety0.281503
HPV vaccination coverage0.907725
percentage point increases0.306001
MenACWY vaccination coverage0.280086
nine-valent HPV vaccine0.276888
estimates0.231508
HPV doses0.31464
white female adolescents0.218332
provider-reported vaccination histories0.276706
adolescents0.443552
females0.273135
on-time HPV vaccination0.35033
lower HPV series0.284386
т‰Ѕ3-dose HPV coverage0.366902
vaccination coverage data0.250956
coverage estimates0.21067
vaccination coverage differences0.271887
HPV vaccination services0.353922
reduced-dose HPV vaccination0.332748
т‰Ѕ3-dose HPV vaccination0.428918
local areas0.225042
HPV vaccine doses0.285096
vaccination providers0.215744
non-Hispanic white adolescents0.258638
national hpv vaccination0.39938
high HPV vaccination0.355313
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13915 Centers for Disease Control and Prevention Html en About Lead in Drinking Water The Childhood Lead Poisoning Prevention Program is committed to the Healthy People goal of eliminating elevated blood lead levels in children by 2020. CDC continues to assist state and local childhood lead poisoning prevention programs, to provide a scientific basis for policy decisions, and to ensure that health issues are addressed in decisions about housing and the environment.
lead levels0.686233
CDC0.583906
large number0.475338
blood lead tests0.56933
service line0.477253
Lead concentrations0.500235
DC-area children0.482916
water service pipes0.621804
children0.496597
U.S. children0.485903
available blood lead0.575079
elevated blood lead0.567322
young children0.493671
residential tap water0.555419
test results0.806255
surveillance data0.54129
older homes0.482528
DC Water0.496588
safe blood level0.543108
Environmental Protection Agency0.673963
leaded solder0.48433
Sewer Authority0.475527
lead exposure0.561171
health effects0.478201
water supply pipe0.568497
lead-in-water testing program0.54626
water pipes0.58148
Lead-based paint0.500198
blood samples0.480935
connect homes0.482047
U.S. Environmental Protection0.54048
water lead levels0.591639
lead service pipes0.986163
major contributors0.481482
Morbidity Mortality Weekly0.542443
drinking water0.485826
federal agencies0.489866
elevated lead levels0.57483
previously reported results0.550438
children’s health0.495292
old lead-based pipes0.617196
blood lead level0.575316
DC Department0.47701
U. S. Environmental0.532601
missing test data0.536375
childhood lead poisoning0.592762
effective programs0.489806
action level0.60309
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