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Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
6260 Centers for Disease Control and Prevention Html en FASD - Past Activities FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol.
State Resource Directory0.477883
Tribal Justice Systems0.469763
local levels0.477156
Health Care Center0.503822
Track current media0.485763
Arctic FASD Regional0.567268
related conditions0.4745
Regional Training Centers0.527154
public health networks0.499802
K-12 FASD Education0.578392
Lakes FASD Regional0.568545
Current Problems0.559006
Double ARC0.503883
separate training curricula0.48417
Patient Care Center0.487727
Healthy Path curriculum0.473083
justice systems personnel0.520977
FASD Public Awareness0.580858
brief intervention0.469138
FASD Regional Training0.913007
Adolescent Health Care0.682947
primary care provider0.475952
fetal alcohol spectrum0.891013
FASD prevention0.619876
adolescent care providers0.484383
4-year cooperative agreement0.476302
healthcare providers0.46874
FASD Toolkit0.523661
FASD Competency-Based Curriculum0.575876
Regional Training Center0.748518
Read Summary0.610452
Frontier FASD Regional0.566682
Allied Health Education0.486194
Media Outreach Center0.492801
Southeastern FASD0.529629
NOFAS Information Clearinghouse0.483158
appropriate health care0.489179
family support groups0.477687
Public Health Program0.482552
FASDs0.474733
Fetal Alcohol Syndrome0.663657
Midwestern FASD Regional0.566605
NOFAS Affiliate Network0.484155
alcohol spectrum disorders0.873759
CDC funds FASD0.576602
educational curricula0.4745
Alcohol Syndrome Awareness0.503857
alcohol SBI0.470481
Fetal spectrum disorders0.500797
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6383 Centers for Disease Control and Prevention Html en Young adults' perceptions of cigarette warning labels in the United States and Canada. null
study participants0.419239
Canadian cigarette labels0.476748
young adult smokers0.438533
Linda L. Pederson0.423221
focus group sessions0.460651
current smokers0.426061
text-only cigarette0.419572
Canadian cigarette label0.490939
U.S. cigarette0.63168
white warning text0.434383
Smoking This Cigarette0.437441
tobacco warning labels0.448534
cigarette warning messages0.496972
recent graduate group0.70001
cigarette warning labels0.995019
decrease cigarette consumption0.463972
young adults0.428923
cigarette package warnings0.427929
Canadian cigarette0.678416
large graphic warning0.44921
Canadian warning labels0.501572
United States0.492426
warning label size0.422902
new warning labels0.468332
smokers0.596533
current U.S. cigarette0.45636
health warning labels0.516098
focus groups0.579918
smoking0.551118
U.S. cigarette packages0.490447
smoking health hazards0.415699
participants0.634324
graphic warning labels0.55515
U.S. cigarette package0.444859
cigarette label health0.443923
Federal Cigarette Labeling0.431866
Detroit metropolitan area0.440059
focus group participants0.494572
Cigarette smoking0.452863
Canadian cigarette packages0.443048
listing cigarette ingredients0.424224
text-only warning labels0.468541
explicit graphic warning0.435086
cigarette packages0.859014
focus group0.556838
U.S. warning labels0.517667
health risks0.415369
various cigarette brands0.415376
cigarette label text0.451249
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6717 Centers for Disease Control and Prevention Html en Malaria Surveillance - United States, 2010 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.
reported malaria cases0.333089
CDC0.262625
malaria chemoprophylaxis0.35775
P. malariae0.275702
falciparum cerebral malaria0.25523
Uncomplicated Imported Malaria0.239477
antimalarial drugs0.259148
appropriate malaria prevention0.257876
P. falciparum0.745527
state health departments0.243788
malaria infection0.278485
additional malaria cases0.263008
P. falciparum infection0.279317
malaria prevention strategies0.275881
ongoing malaria transmission0.255122
patients0.330478
malaria chemoprophylaxis regimen0.251661
Malaria Hotline0.246232
emergency department0.240225
National Malaria Surveillance0.285574
renal failure0.262827
malaria infections0.263298
P. ovale0.286505
CDC malaria staff0.25909
uncomplicated malaria infections0.235775
malaria case surveillance0.252939
severe malaria0.352133
United States0.896772
Malaria vector mosquitoes0.242489
malaria0.930646
P. vivax0.426537
malaria acquisition0.236894
effective malaria prevention0.258043
P. falciparum cases0.252122
malaria symptoms0.234463
falciparum severe malaria0.263201
CDC-recommended malaria chemoprophylaxis0.246437
uncomplicated malaria0.239743
falciparum malaria infection0.257488
imported malaria cases0.321949
malaria prevention recommendations0.286299
cases0.784194
P. falciparum malaria0.345406
Malaria treatment recommendations0.26176
malaria cases0.484539
malaria prevention0.328149
species0.236687
malaria transmission0.288045
malaria surveillance0.32306
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7270 Centers for Disease Control and Prevention Html en Preconception Health Indicators Among Women - Texas,2002-2010 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.
health-care insurance coverage0.445295
preconception health evaluation0.472331
preconception period0.401993
suboptimal preconception health0.528984
higher prevalence0.481494
binge drinking0.414102
high school education0.402957
non-Hispanic black women0.483318
daily multivitamin0.568882
unfavorable preconception health0.496504
Hispanic women0.472584
actual preconception health0.443221
unintended pregnancy0.440452
health conditions0.422914
preconception health ††0.457468
measurable preconception health0.447607
Texas women0.440104
chronic medical conditions0.397437
pregnancy0.718915
response rate0.401288
minimal nonresponse bias0.395988
daily multivitamin intake0.388894
preconception health profiles0.444477
preconception health status0.484941
health-care visit0.39094
preconception care0.558055
preconception health care0.494923
preconception health-care services0.565066
low-income women0.399136
health-care interventions0.450015
Evidence-based preconception interventions0.421226
women0.767022
adverse pregnancy outcomes0.516385
State Health Services0.426771
health-care providers0.388215
preconception care services0.46478
daily multivitamins0.42114
Pregnancy Risk Assessment0.398345
preconception health0.93423
preconception indicators0.40422
time preconception health0.450752
prenatal vitamin0.405969
health-care coverage0.88912
U.S. health-care0.3906
essential preconception care0.460521
daily multivitamin consumption0.394781
preconception health indicators0.815045
non-Hispanic white women0.521778
Noha H. Farag0.392853
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7388 Centers for Disease Control and Prevention Html en Emerging Infectious Disease Journal (EID) News Synopsis: October 2012 EID News Synopsis: October 2012
Army Health Clinic0.708825
Afghan people0.622292
A. Hamer0.609994
Public Relations0.60936
surgical treatment0.614795
Angela G. Clendenin0.691719
military policies0.611978
secondary infections0.630007
major health risk0.712805
contact0.647675
service members0.611058
South America.  Limited0.693634
healthy monkeys0.655691
bacterial infections0.633863
sterile saline0.613278
antimicrobial drugs.  Doctors0.70312
bare-handed contact0.618476
Integrative Bioscience Department0.687651
chronic sinus infection0.912453
animal bites0.638034
Afghan National Security0.715224
recent study0.710402
Infectious Diseases0.618914
CDC Media Relations0.702356
monkey bites0.735842
foodborne norovirus outbreak0.697232
tap water0.612366
ready-to-eat foods0.689567
luke.mease@us.army.mil0.611283
U.S. military personnel0.715382
public health journal0.742485
Wellington S. Tichenor0.709388
Aron J. Hall0.687647
East China University0.683142
U.S. Army0.617803
animal contact0.627124
New York0.614606
infected food worker0.709983
B-virus infection0.644037
pet adoption0.60912
military health care0.71314
Luke E. Mease0.694386
infected ticks0.761745
p.m. EDT0.634046
Afghan civilians0.622684
monkeys.  Park visitors0.687768
treatment-resistant sinus infection0.767882
Migratory birds0.611262
U.S. forces0.611478
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8344 Centers for Disease Control and Prevention Html en Prevention Strategies - Suicide - Violence Prevention - Injury null
Prevention Workshop. Ann0.592976
lasting harmful effects0.566195
suicide prevention planning0.743207
mental health0.592226
searchable online registry0.56207
community connectedness0.562131
youth. Eur Child0.561956
psychosocial suicide prevention0.706585
CDC Research Brief0.571666
CDC research study0.571423
Adolesc Psychiatr Clin0.560992
suicide prevention interventions0.762225
Effective prevention strategies0.613749
Suicide Prevention Team0.699034
National Registry0.563902
suicide prevention programs.0.698445
World Health Organization0.568252
National Academies Press0.564497
public health activities0.573366
suicide prevention programs0.70926
national strategy0.59307
suicidal behavior0.624858
DiGuiseppi C. Interventions0.570381
state-based suicide prevention0.718275
suicide prevention0.968054
M. School-based suicide0.673084
State Suicide Prevention0.717977
Suicide prevention strategies0.693789
D. Youth suicide0.663717
public health approach0.629001
school-based suicide prevention0.75324
Prevent Suicidal Behavior0.593302
primary prevention0.564054
Youth Suicide Prevention0.711512
mental health service0.575532
Suicidal Risk. Suicide0.698283
Suicide Prevention Resource0.741612
substance abuse interventions0.573758
D. Prevention Programs0.604612
D. Suicide Prevention0.697212
National Research Council0.567664
systematic review0.696921
nonfatal suicidal behavior0.59182
broader social environment0.56545
Prevention Resource Center0.631578
public health problem0.591013
Mental Health Services0.581407
evidence-based programs0.56076
Child Adolesc0.56111
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8998 Centers for Disease Control and Prevention Video en CDC: Tips from Former Smokers -- Shane's Story Shane, whose throat cancer was a result of smoking, discusses how he didn't realize the health complications that could result from tobacco use in this video from CDC's "Tips From Former Smokers" campaign. 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=48d4929f9e3c0e99750452465dab482320120517095316765 To learn more about tobacco control and prevention, go to BeTobaccoFree.gov
Shane0.874473
Smokers0.932887
CDC0.92604
YouTube0.871802
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10323 Centers for Disease Control and Prevention Html en HAN Archive - 00328- Meningitis and Stroke Associated with Potentially Contaminated Product Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC).
North Carolina0.222891
NECC facility0.30152
direct microscopic examination0.300154
new weakness0.235674
public health departments0.720051
elevated white cell0.32829
Disease Control0.345282
multistate investigation0.238959
NECC products0.309168
public health department0.315544
previously listed medications0.293333
injection site0.223019
England Compounding Center0.786614
patients0.327809
infected patients0.239523
deep brain stroke0.313212
preservative-free methylprednisolone acetate0.351754
symptoms0.244551
methylprednisolone acetate0.430091
FDA website0.225634
New England Compounding0.911601
state public health0.748504
neck stiffness0.324898
PM ET0.230621
epidural/joint steroid injection0.334769
fungal meningitis0.413415
CDC Health Alert0.402272
epidural steroid injection0.397085
methylprednisolone acetate products0.332866
unclear clinical significance0.319067
Drug Administration0.235935
CSF profile0.229542
Aspergillus spp.0.222948
enhances health decisions0.31061
critical health issues0.316254
state boards0.231329
Propionibacterium acnes0.222089
1Clinically diagnosed meningitis0.368647
England Compounding Center.0.326051
cases0.270843
laboratory findings0.221572
new neurological deficit0.33665
peripheral joint space0.311915
NECC0.333851
case definition*0.224819
low glucose0.334053
steroid medication0.369924
fungus Exserohilum rostratum0.324049
potentially contaminated medication0.342863
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11998 Centers for Disease Control and Prevention Html en Preventing Chronic Disease | The Impact of Cooking Classeson Food-Related Preferences, Attitudes, and Behaviors ofSchool-Aged Children: A Systematic Review of the Evidence,2003-2014 - CDC Cooking programs have been used to promote healthful eating among people of all ages. This review assesses the evidence on childhood cooking programs and their association with changes in food-related preferences, attitudes, and behaviors of school-aged children.
food-related preferences0.885228
cooking self-efficacy0.75971
attitudes0.700218
vegetable consumption0.759286
control group0.922588
two-hour cooking classes0.663209
data collection methods0.826536
intervention group0.935937
children0.782332
cooking lessons0.825699
control groups0.677461
cooking confidence0.666254
hands-on cooking intervention0.763885
in-school cooking program0.668706
school-based cooking interventions0.681326
elementary school children0.681068
Health Practice Project0.677935
Quality Assessment Tool0.674738
community-based cooking program0.674977
two-hour cooking lessons0.676919
sessions Cooking lessons0.675784
food preparation0.927754
Weak Intervention group0.695603
semester Cooking lessons0.677281
vegetable preferences0.695941
cooking programs0.810386
basic cooking skills0.703027
cooking intervention0.819232
cooking education intervention0.759523
Moderate Intervention group0.688999
Nutr Educ Behav0.79004
Effective Public Health0.6761
Introduction Cooking programs0.721697
Public Health Practice0.677566
studies0.770921
cooking0.901834
public health0.787174
cooking classes0.721783
assessment Weak Intervention0.670474
cooking interventions0.73343
Lohse B. Cooking0.669356
Acad Nutr Diet0.686155
systematic review0.699359
period Cooking lessons0.702351
Kamp J. Cooking0.662803
childhood cooking programs0.789155
et al0.693469
home food preparation0.694798
assessment Strong Cooking0.672235
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13291 Centers for Disease Control and Prevention Html en Geographic Disparity of Severe Vision Loss - United States, 2009-2013 Karen A. Kirtland, PhD1; Jinan B. Saaddine, MD1; Linda S.
county-level prevalence0.712784
federal poverty level0.741046
United States0.783726
routine eye examinations0.676684
certain eye diseases0.681875
county level correlation0.67525
higher prevalence0.676216
poverty thresholds0.702381
U.S. Census Bureau0.736463
eye care provider0.686794
eye health knowledge0.684996
eye care services0.806041
county poverty0.702412
eye care0.812727
National Eye Institute0.685763
ACS 5-year county0.683133
county prevalence0.684495
Jinan B. Saaddine0.679366
Paul P. Lee0.679131
SVL prevalence0.892876
higher poverty rates0.722483
Distinct geographic patterns0.678029
Mary F. Cotch0.679159
comprehensive dilated eye0.684215
southern states0.677258
poverty level0.873439
Ted J. Thompson0.674854
health care services0.678151
American Community Survey0.677483
proper eye-safety practices0.72882
ACS county-level estimates0.711796
high prevalence0.678231
high poverty levels0.726331
Linda S. Geiss0.677519
2National Eye Institute0.679687
persons0.673094
U.S. counties0.679404
eye examination0.67864
Karen A. Kirtland0.740781
eye examinations0.678515
U.S. Census0.75909
family eye health0.739007
SVL prevalence quartile0.763172
vision loss0.994945
counties0.728488
eye health history0.7402
socioeconomic status0.678235
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