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Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
4534 Centers for Disease Control and Prevention Html en HIV/AIDS and the Flu People with HIV/AIDS are at increased risk of from serious complications from flu - CDC
influenza infection0.501945
influenza antiviral agents0.63814
influenza antiviral drugs0.667501
influenza-related complications0.515811
HIV-infected persons0.42386
influenza symptoms0.516587
) site.0.403636
HIV attacks cells0.495183
antiviral chemoprophylaxis agents0.423702
example people0.271816
influenza vaccine0.772204
seasonal influenza0.451262
Current CDC guidance0.339385
certain cancers0.257269
AIDS0.324424
lung-related hospitalizations0.258934
flu antiviral drugs0.607227
severe paralyzing illness0.35283
active antiretroviral therapy0.382402
life-threatening allergic reaction0.355979
adverse drug reactions0.339672
inactivated influenza vaccine0.708354
live influenza virus0.579897
high risk0.524724
human immunodeficiency virus0.401732
antiviral medications0.468161
advanced HIV disease0.466354
influenza0.945315
milder egg allergies0.357093
United States0.261501
flu vaccine0.692463
flu complications0.533244
certain people0.294613
flu shots0.448588
immune response0.399622
immunodeficiency syndrome0.269297
health care workers0.515621
influenza season0.515875
greater chance0.360241
certain HIV-infected people0.492132
people0.703661
influenza vaccination0.628795
flu0.81856
local public health0.337326
nasal spray vaccine0.430377
flu shot0.452227
HIV0.586511
influenza viruses0.510023
poor immune response0.373602
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4690 Centers for Disease Control and Prevention Html en Commute times, food retail gaps, and body mass index in North Carolina counties null
North Carolina0.448328
commute time0.390185
rural residents0.380633
North Carolina Department0.21281
special food services0.206743
county-level independent variables0.201504
county-level food sales0.226185
individual-level bmi0.282425
county-level variables0.21118
mean county-level commute0.262666
county-level BMI0.272693
county-level mean BMI0.318146
longer commute times0.221117
BMI0.325295
average commute time0.208621
drinking places0.245558
commute times0.635556
NAICS code0.211841
specialty food stores0.222786
county-level sales0.221783
food retail gap0.925332
county-level retail sales0.206841
county-level commute time0.290969
North Carolina counties0.274497
county-level commute times0.355083
food retail gaps0.320831
county-level diversity index0.20896
county-level demand0.231366
capita0.273709
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6526 Centers for Disease Control and Prevention Html en Key Facts about Human Infections with Variant Viruses (Swine Origin Influenza Viruses in Humans) Key Facts about Human Infections with Variant Viruses (Swine Origin Influenza Viruses in Humans) - CDC
type A influenza0.386903
swine influenza virus0.591329
novel viruses0.275777
variant flu viruses0.43509
swine industry0.235236
H3N2 virus0.216854
Mortality Weekly Report0.206511
United States0.206038
variant influenza virus.0.460632
human influenza viruses0.616197
swine herds0.247966
CDC Seasonal Influenza0.378394
infected swine0.283659
infected pigs0.252116
influenza-infected pigs0.229355
pigs0.34685
Variant Influenza Viruses0.5677
variant influenza virus0.470507
Swine flu viruses0.537581
variant viruses0.434956
exhibits housing pigs0.246732
human-to-human transmission0.201732
swine origin influenza0.491657
influenza A virus0.377467
novel influenza virus0.457123
influenza vaccines0.350998
seasonal influenza0.484044
influenza pandemic0.355698
influenza virus infections0.600287
Yes. Swine flu0.308289
variant viruses.0.20184
human seasonal influenza0.401157
people0.252521
influenza A H1N10.345369
seasonal flu transmits0.21559
pandemic preparedness efforts0.208144
human infections0.305787
new virus0.256025
limited person-to-person spread0.212188
influenza viruses0.964527
sick pigs0.267213
influenza virus0.720951
variant virus infections0.355254
infect pigs0.213257
U.S. Human Infections0.238789
state level surveillance0.200564
influenza a h3n20.391627
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6954 Centers for Disease Control and Prevention Html en CDC - Preventing Chronic Disease: Volume 9, 2012:11_0142 In Ethiopia, lack of reliable data on causes of death prevents full understanding of the double mortality burden of communicable and noncommunicable diseases. Our objective was to help bridge this research gap by analyzing surveillance data on causes of death in Addis Ababa.
epidemiological transition0.450659
verbal autopsy interviews0.378409
injuries0.397193
premature death rate0.37135
female deaths0.468894
major causes0.37466
World Bank0.382656
standardized verbal autopsy0.377378
deaths0.79482
group0.432318
burial surveillance records0.369716
adult death rates0.382466
World Health Organization0.412216
digestive tract diseases0.582305
Addis Ababa0.988385
verbal autopsies0.530933
verbal autopsy questionnaire0.412811
Mortality Surveillance Program0.455029
overall death rates0.38049
Addis Ababa population0.49409
death rates0.426895
age-specific death rate0.381623
Addis Ababa residents0.532789
Ethiopia0.368765
study0.453291
death0.62983
age group0.418825
adults0.421231
Addis Ababa Labour0.470651
communicable diseases0.682389
Addis Ababa University0.472553
death rate0.395994
typical mortality burden0.371307
Premature deaths0.44455
burial surveillance0.544258
verbal autopsy0.492162
causes0.508537
premature death increases0.373169
double mortality burden0.591632
Addis Ababa Mortality0.543086
Ababa Mortality Surveillance0.512489
noncommunicable diseases0.914211
CVD deaths0.417503
Addis Ababa cemeteries0.489058
adult deaths0.442934
deceased Addis Ababa0.495084
infant deaths0.41306
malignant neoplasm0.413019
proportional death rates0.3817
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9339 Centers for Disease Control and Prevention Html es Reducción de enfermedades cardiovasculares mediante guías de pacientes, Denver, Colorado, 2007-2009 null
Task Force0.439066
posibles participantes0.590717
Prev Med0.608006
Increasing physical activity0.439606
D’Agostino RB0.444649
cardiovascular health promotion0.435488
risk factors0.555447
colesterol hdl0.637464
colesterol ldl0.541493
Kannel WB0.441261
community health0.487639
community health workers0.481655
Denver Public Health0.443907
Hospital Authority0.434563
coronary heart0.623273
salud comunitaria0.448033
baja densidad0.488624
Battaglia TA0.438665
Public Health0.453172
referenciaa periodo0.439137
Wilson PW0.437098
alto riesgo0.446644
puntuación frs0.9552
disease risk0.523207
vasculopatía periférica0.511662
mm hg0.44637
physical activity questionnaire0.437454
Características Periodo0.464339
Gen Intern Med0.582757
alta densidad0.635437
Salud Pública0.532261
Patient navigation0.480286
bajos ingresos0.498242
Intern Med0.655953
aórtico abdominal0.447994
Sullivan LM0.44187
modifiable risk factors0.43532
cardiopatía coronaria0.662293
Arch Intern Med0.440705
Denver Health0.462548
presente intervención0.512404
physical activity0.606014
características clínicas0.534321
health center0.481708
absolute cardiovascular risk0.438053
mejorías significativas0.459824
Community Preventive Services0.472714
primary care0.443791
puntuación frs frente0.449823
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10573 Centers for Disease Control and Prevention Html en Search the NIOSH Website null
NIOSH Research Rounds0.715365
NIOSH Milestones0.609882
NIOSH History0.611473
Health Workforce Assessment0.201582
NIOSH Programs0.651395
Search Form Controls0.381327
NIOSH Homepage0.712037
Contact NIOSH0.809963
NIOSH A-Z Index0.778422
Contact NIOSH Add0.673955
Worker Health Study0.203643
Health Topics0.260642
Workplace Safety0.251271
National Occupational Safety0.222819
NIOSH Advisory Committees0.697839
occupational safety0.459645
Search Controls0.229884
page options Skip0.22406
Health Effects Laboratory0.20448
NIOSH Website0.908723
Construction Occupational Safety0.201871
NIOSH Science Blog0.694829
NIOSH Goals0.612192
FRN Archive0.514051
Respiratory Health Division0.21987
Search NIOSHTIC-2 Research0.24005
NIOSH Centers0.643782
NIOSH Awards0.615479
Notices FRN Archive0.208056
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13201 Centers for Disease Control and Prevention Html en Announcement: CDC-Sponsored Continuing Education Courses onScreening for Colorectal Cancer Colorectal cancer is the second leading cancer killer in the United States. Screening for colorectal cancer saves lives, but problems with its implementation in clinical practice can reduce screening's effectiveness.
CDC-sponsored continuing education0.648923
endorsement0.399693
Human Services0.637746
leaders0.329283
research0.329228
U.S. Department0.632227
MMWR HTML versions0.622939
primary care providers0.642609
education credits0.481567
physicians0.328979
electronic PDF version0.602772
colorectal cancer screening0.798357
health professionals0.490799
courses0.357828
colorectal cancer0.980273
lives0.332273
Contact GPO0.514566
maximum benefit0.480483
patients0.33008
commercial sources0.477806
primary care clinicians0.683504
current prices0.467503
original paper copy0.599882
problems0.332244
best ways0.488882
nationally recognized experts0.631776
United States0.503722
U.S. Government Printing0.600959
clinical practice0.501541
Superintendent0.334044
tools0.330219
MMWR readers0.484208
character translation0.46652
MMWR paper copy0.612345
course0.3298
format errors0.473712
effectiveness0.329715
colonoscopy procedures0.501572
implementation0.332215
typeset documents0.480424
public health programs0.646845
trade names0.477975
official text0.463841
cancer killer0.518773
non-CDC sites0.475306
http://www.cdc.gov/cancer/colorectal/quality0.329565
electronic conversions0.466122
printable versions0.464393
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13370 Centers for Disease Control and Prevention Html en Information for Health Care Workers | Rat-bite Fever (RBF) |CDC null
Spirillum minus0.592867
diagnosis assistance0.349598
gram-negative microaerophilic bacillus0.590191
pleomorphic gram-negative bacilli0.529052
North America0.383047
rodent exposure0.380331
rat-bite fever0.524699
Recent case reports0.472357
severe nausea/vomiting0.36162
RBF0.992699
characteristic spirochetes0.364356
Streptobacillus moniliformis0.566834
body fluids0.348574
infected rodent0.408287
incidence rates0.357316
preliminary diagnosis0.352634
state public health0.46335
maculopapular rash0.402834
distinct rash0.394079
Person-to-person transmission0.374664
nationally notifiable disease0.47721
normal respiratory flora0.519663
United States0.345649
natural reservoir0.364429
appropriate specimens0.464556
Haverhill fever0.754032
rodent species0.397142
S. moniliformis0.937049
Accurate data0.346047
incubation period0.378627
differential stains0.34583
motile spirochete0.413623
S. minus0.420297
incubation conditions0.362119
fever onset0.478596
red plaques0.353843
potential risk0.34816
untreated RBF0.69899
common symptoms0.361821
mortality rate0.348635
Following partial healing0.476928
positive culture0.34776
disease incidence0.356641
rat bite0.361391
synovial fluid0.351658
Initial symptoms0.366155
infected animal0.365841
specific media0.349932
darkfield microscopy0.343958
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16169 Centers for Disease Control and Prevention Html en HPV Vaccine Information For Young Women HPV - STD information from CDC. Fact Sheets, Statistics, Treatment Guidelines, Resources for Clinicians and Educators.
HPV types—0.203411
HPV vaccination0.344921
HPV test0.237064
HPV vaccine0.80765
HPV types0.486735
cervical cancer0.691177
targeted HPV types0.242999
HPV0.931484
genital warts0.28749
Genital HPV0.246161
HPV infection0.23045
HPV vaccines0.211736
HPV infections0.202104
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16460 Centers for Disease Control and Prevention Html en Characteristics of Electronic Cigarette Use Among Middle andHigh School Students - United States, 2015 | MMWR The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC).
e-cigarette advertising0.386574
complex survey design0.383411
conventional cigarettes0.381949
multiple device types0.379791
e-cigarette brands0.406684
comprehensive tobacco control0.455588
product types0.46234
nicotine exposure0.426682
U.S. Surgeon General0.386633
commonly used e-cigarette0.45294
response rate0.3836
tobacco product dependence0.394422
tobacco products0.456261
public health practice0.392917
commonly reported brand0.497195
prevention strategies0.378352
e-cigarette product types0.425031
Connecticut high school0.391616
U.S. middle0.520845
United States0.438236
Drug Administration0.389259
youths0.611918
products0.458892
Hispanic students0.398656
nicotine delivery0.396715
nationally representative sample0.38035
U.S. students0.378488
tobacco product0.633647
brands0.43107
middle school students0.427365
substances0.384343
rechargeable/refillable e-cigarettes0.53826
e-cigarette users0.440235
commonly reported brands0.421561
certain e-cigarette marketers0.400269
high school students0.982371
e-cigarettes0.820511
National Youth Tobacco0.402011
U.S. youths0.533109
Nicotine content0.391399
relative standard error0.380805
commonly used tobacco0.573958
high school students.*0.401242
Table).0.39851
NYTS response rate0.380165
disposable e-cigarettes0.44469
heavily advertised e-cigarette0.402367
non-Hispanic black students0.48868
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