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Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
640 Centers for Disease Control and Prevention Html en Smoke-Free Policies Improve Health - Smoking & Tobacco Use Secondhand Smoke Fact Sheets.
smokefree laws0.885425
Comprehensive Smoke-Free Legislation0.395549
Smoking Ban0.414755
A. Hospital Admissions0.361925
Human Services0.344758
Comprehensive Smoke-Free Laws0.415013
U.S. Department0.342432
health outcomes0.378098
Health Promotion0.343437
workplaces0.340016
Irish Smoking Ban0.375404
Comprehensive Smoking Bans0.401131
medicare beneficiaries0.340113
rating scale0.350593
local smokefree laws0.515966
Pell JP0.394321
Legislative Smoking Bans0.37649
medicare enrollees0.345666
county smokefree laws0.516653
smokefree legislation0.507828
Comprehensive Statewide Smoking0.39442
American Journal0.510291
monthly hospital admissions0.381875
highest level0.343147
nonsmoking bar workers0.694997
indoor areas0.672484
International Agency0.42055
Secondhand Smoke Exposure0.415759
heart attacks0.421278
Public Health0.413834
Comprehensive Smoking Ban0.396912
respiratory health0.487293
respiratory symptoms0.439393
acute coronary syndrome0.478661
hospital admissions0.983719
public places0.349722
population Substantial health0.362353
heart disease morbidity0.36522
New York0.340463
acute coronary events0.709172
throat irritations0.341545
heart attack admissions0.364769
health0.500998
national smokefree law0.97677
smoke-free legislation0.58956
comprehensive smokefree laws0.669386
state smokefree law0.713321
New England Journal0.414647
acute myocardial infarction0.726204
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4575 Centers for Disease Control and Prevention Html en November 09, 2009: States Where Persons Infected with the Outbreak Strain of E. coli O157:H7 Live, United States, by State | E. coli CDC Get the latest CDC information on the recent infections from ground beef, and find out what you can do to protect yourself and your family.
O1570.415243
cluster0.350488
CDC0.326019
United States0.616271
Maine0.319414
ongoing case finding0.491683
advanced secondary DNA0.486648
strains0.32509
human isolates0.413858
number0.33564
Massachusetts0.319504
ill persons0.406793
Beef0.322224
E. coli0.92108
outbreak strain0.748083
secondary tests0.402763
H7 Live0.545352
Outbreak Investigations0.483445
genetic associations0.404089
New York0.401489
California0.319614
New Jersey0.401805
Fairbank Farms0.435125
persons0.442845
New Hampshire0.402122
Connecticut0.319554
H7 Infections Associated0.632985
Maryland0.319464
Multistate Outbreak0.493577
laboratory testing0.40601
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4684 Centers for Disease Control and Prevention Html en Residence in a distressed county in Appalachia as a risk factor for diabetes, Behavioral Risk Factor Surveillance System, 2006-2007 null
nondistressed Appalachian counties0.460635
high rates0.437471
tool kit0.378416
Risk Factor Surveillance0.419109
self-reported diabetes0.465323
competitive counties0.367941
Appalachian county0.444877
Disease Control0.375172
undiagnosed diabetes0.401619
Self-reported diabetes status0.456866
obesity0.403083
risk factors0.47803
diabetes risks0.401605
Appalachian people0.3854
distressed Appalachian counties0.775934
Appalachian participants0.378571
physical activity level0.382507
residents0.433393
Behavioral Risk Factor0.417557
United States0.389138
distressed counties0.760114
culturally sensitive programs0.405877
Appalachian Mountains0.394957
cigarette smoking0.380781
diabetes cases0.403018
unadjusted prevalence0.384107
diabetes prevalence0.44123
Family Matter program0.387032
isolated counties0.370969
3-year unemployment rate0.412172
rural Appalachian society0.401109
self-reported diagnosed diabetes0.504628
health care0.408596
higher risk0.407971
New York0.367512
classifies Appalachian counties0.451965
national median prevalence0.370917
Appalachian Regional Commission0.414375
Appalachian traditions0.377703
Appalachian Diabetes Control0.501321
Appalachian population0.379878
physical activity0.675532
leisure-time physical activity0.375243
non-Appalachian counties0.546401
attainment counties0.382323
diabetes0.78391
diabetes educator0.401513
Diabetes Translation0.403338
physical inactivity0.382868
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6945 Centers for Disease Control and Prevention Html en CDC - Preventing Chronic Disease: Volume 9, 2012:11_0331 HIV infection, a communicable disease, and noncommunicable diseases (NCDs) are among the major health concerns worldwide. An estimated 33 million people live with HIV, two-thirds of them in sub-Saharan Africa, where three-fourths of all AIDS-related deaths occur.
NCDs0.495412
major risk factor0.394423
major risk factors0.393478
sexually transmitted infection0.420044
HIV programs0.538434
noncommunicable diseases0.367489
Integrated health systems0.428279
integrated programs0.413055
major health concerns0.42705
chronic infectious diseases0.415028
limited human resources0.382783
positive health behaviors0.414324
insufficient physical activity0.392306
health management0.384652
integrated approaches0.400883
middle-income countries0.794991
health systems0.501247
World Health Organization0.41936
similar vertical programs0.417996
HIV infection increase0.523869
Unsafe sexual behavior0.391529
disease management programs0.42776
chronic disease0.435867
vertical approaches0.367818
high-profile vertical program0.392749
health workers0.372131
weak health systems0.45966
health care programs0.426298
health needs0.394687
different clinical interrelationships0.393945
public health concern0.416166
vertical programs0.431914
HIV-family planning integration0.38511
health care0.442146
Different chronic diseases0.420271
health care systems0.413409
integrated HIV–NCD management0.413406
dynamic health systems0.412829
chronic diseases0.469425
Different health0.368103
health0.566009
people0.390894
management0.454722
Public Health Service0.402573
major chronic diseases0.419869
antiretroviral treatments0.39413
HIV infection0.973626
chronic care programs0.424326
NCD burden0.373723
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7263 Centers for Disease Control and Prevention Html en Lexicon, Definitions, and Conceptual Framework for PublicHealth Surveillance 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.
data0.401547
public health interventions0.278487
specific health events0.272801
Risk Factor Surveillance0.278074
health information0.328757
health surveillance activities0.351545
health policy information0.261439
public health decision0.272588
sentinel surveillance systems0.282359
public health inquiry0.272945
public health surveillance0.994115
surveillance program0.271442
disease surveillance0.288227
health events0.275718
public health decisions0.265998
data sources0.282958
surveillance data0.313745
population health assessment0.299727
traditional public health0.271075
public health practice0.324145
Surveillance Consultation0.283541
health surveillance systems0.359259
effective public health0.268408
chronic disease surveillance0.288111
health surveillance concepts0.317292
public health threat0.274805
valuable surveillance data0.295355
public heath surveillance0.301138
public health community0.292284
specific public health0.268793
21st century0.265716
surveillance systems0.38019
complex health events0.263812
public health knowledge0.275288
public health program0.296523
surveillance purposes0.272498
health information needs0.269297
public health concerns0.27261
health data0.286029
Notifiable Diseases Surveillance0.28594
appropriate health information0.265551
public health programs0.342195
national surveillance systems0.282333
sentinel surveillance0.283393
electronic health records0.266348
data collection0.390501
Electronic Disease Surveillance0.2857
public health problem0.290543
data collection activities0.262182
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7834 Centers for Disease Control and Prevention Html en CDCynergy Lite - Interventions Gateway to Health Communication and Social Marketing Practice - CDCynergy Lite, interventions
local service providers0.8658
common goals0.726347
marketing—like commercial marketing—is0.845818
ultimate behavioral objective0.85192
walking clubs0.74995
Product interventions0.846233
certain costs0.76025
behavior change0.983454
drug-free activities0.764329
indirect costs0.755961
organizational rulings0.731864
time frame0.736794
line items0.72922
program priorities0.726909
city funding0.728888
target segment0.73716
program plan0.730891
Gantt chart0.731403
male sex partners0.848229
barber shops0.730835
training classes0.75732
Include key deadlines0.848059
nicotine replacement device0.837837
Policy interventions0.844447
primary sections0.725076
separate funding streams0.818197
similar items0.728914
strongest planning team0.88701
creative contributions0.747726
common understanding0.727543
Service interventions0.849015
Budget narratives0.746873
screening clinic services0.849555
specific activities0.731572
bike lanes0.733618
intervention activities0.73838
community decisions0.730383
long time0.742364
influence individual0.728954
enhances health0.739998
specific population0.736439
radio soap opera0.842452
HIV testing0.750827
Social Marketing interventions0.968537
Communication interventions inform0.951689
African-American men0.735696
Include launch schedules0.840119
ethical requirements0.722147
outcome objective0.759308
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8675 Centers for Disease Control and Prevention Html en Triple A's of Healthy Swimming - Healthy Swimming & Recreational Water null
Page Moved0.633568
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8961 Centers for Disease Control and Prevention Html en Emergency Preparedness - Publications by Topic - Public Health Law null
caregiver preparedness0.465306
public health practitioners0.511397
health officials0.544715
emergency declarations0.484926
Radiological Emergency Preparedness0.514398
Court House Preparedness0.48456
mid-tier public health0.506223
Healthcare Emergency Preparedness0.500697
legal issues0.480492
public health emergencies0.582627
Emergency Preparedness Law0.517169
health emergency response0.488935
public health officials0.542446
legal preparedness0.586112
public health investigations0.487215
emergency preparedness practice0.514191
emergency preparedness0.578454
City Health Officials0.519387
health emergency training0.486657
Emergency Preparedness Training0.504881
Hospital Legal Preparedness0.528724
public health workforce0.489794
all-hazards preparedness0.466066
Center Environmental Health0.46569
Educational Facilities Preparedness0.49004
radiation legal preparedness0.505315
Health Emergency Law0.53143
Zika Preparedness0.46486
Emergency Preparedness Web0.499144
public health professionals0.504269
public health emergency0.607144
health legal preparedness0.524519
law enforcement0.472029
public health0.904754
public health law0.727248
Public Health Association0.492042
Health Law Program0.594603
competency-based preparedness0.46806
Territorial Health Officials0.490196
Health Lawyers Association0.481152
Disaster Preparedness0.465189
public health workers0.491279
local public health0.507463
Public Health Preparedness0.605659
health law bench0.493746
tribal emergency preparedness0.514736
public health problem0.48495
American Health Lawyers0.477769
federal public health0.5028
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9133 Centers for Disease Control and Prevention Html en Preventing Chronic Disease | Improving Quality of Cause-of-Death Reporting in New York City - CDC Letter to the Editor
Electronic Death Registration0.53516
NYC hospitals0.505814
hospital staff0.516996
hospital staff training0.503798
self-reported beliefs0.475443
examiner’s office0.502345
medical examiner0.571785
cause-of-death reporting0.811298
York City Resident0.547959
New York City0.956774
excessive reporting0.481559
medical residents0.469453
resident physicians0.582084
resident respondents0.470299
Survey authors0.471862
intermediate cause0.476784
Wexelman et0.469913
public health statistics0.616867
similar successful results0.503959
poor cause-of-death reporting0.548426
data check0.516247
additional case examples0.51775
Survey0.47432
cause-of-death screening0.469062
septic shock0.572505
cause-of-death data0.471986
conference calls0.520803
correct cause0.492219
Luke’s–Roosevelt hospitals0.515292
previous US-wide0.470461
inadvertent negative effect0.505317
heart disease0.473947
in-service trainings0.53567
NYC0.606222
poor cause-of death0.527676
cardiovascular disease death0.546826
City Health Information0.531546
inaccurate cause0.543494
health department0.523131
poor quality cause-of-death0.543348
cause-of-death messaging0.469351
York City Department0.710343
teaching hospitals0.473767
Public Health Service0.516672
cause-of-death reporting practices0.538831
successful quality-improvement efforts0.514068
initial conference calls0.5061
additional explanatory condition0.509196
urinary tract infection0.506392
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9848 Centers for Disease Control and Prevention Html en Preventing Chronic Disease | Look Local: The Value of Cancer Surveillance and Reporting by American Indian Clinics - CDC Cancer incidence and mortality rates for American Indians in the Northern Plains region of the United States are among the highest in the nation. Reliable cancer surveillance data are essential to help reduce this burden; however, racial data in state cancer registries are often misclassified, and cases are often underreported.
Health Problems cancer0.399517
Indian Cancer Surveillance0.421129
American Indian cases0.466271
Comprehensive Cancer Control0.403764
Great Lakes0.43327
Wisconsin Carbone Cancer0.542759
new cancer cases0.403594
state-level cancer registry0.395714
AI/AN cancer data0.536738
AI/AN cancer burden0.393922
urban Indian clinics0.597786
high-quality cancer data0.409763
AI/AN cancer0.629617
cancer registry capture0.422263
AI/AN cancer case0.421117
comprehensive cancer center0.443318
AI/AN cancer cases0.605166
cancer surveillance0.48176
Great Lakes Inter-Tribal0.420254
state registry0.652533
cancer case records0.407018
cancer health disparities0.398904
cancer prevention0.401464
Washington State Cancer0.393549
cancer registry data0.513012
Indian cancer data0.439239
local cancer data0.479848
state cancer surveillance0.409329
quality cancer data0.410402
Carbone Cancer Center0.597629
Indian cancer conference0.393698
Wisconsin AI/AN cancer0.424311
local cancer registry0.418027
AI/AN cancer patients0.403475
cancer cases0.783065
cancer data0.606714
cancer burden0.420145
cancer surveillance data0.468302
community-based participatory research0.413093
american indian cancer0.522179
Indian Health Service0.660978
cancer case misclassification0.394122
cancer disparities0.433497
state registry data0.456747
Wisconsin Comprehensive Cancer0.415328
prematched AI/AN cancer0.393283
Native cancer data0.411206
state cancer registries0.524725
Wisconsin Cancer Reporting0.913532
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