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Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
4644 Centers for Disease Control and Prevention Html en Conjunctivitis: Treatment The treatment for conjunctivitis depends on the cause.
allergic conjunctivitis0.462265
Mild bacterial conjunctivitis0.592515
certain eye drops0.333095
cold compresses0.242448
topical antihistamine0.226509
artificial tears0.237374
herpes simplex virus0.335841
red eye0.219923
viral conjunctivitis0.786656
best treatment options0.315822
antibiotic resistance0.241121
prescription eye0.221183
pink eye0.243657
contact lenses0.233761
eye drops0.339716
Fam Physician.0.231905
antibiotic treatment0.243323
antiviral medication0.235201
specific treatment0.226374
Allergy medications0.217802
Kankanala RR0.223069
conjunctivitis0.927172
medical care0.240413
increased costs0.220695
doctor0.27236
Mauger T. Diagnosis0.331173
eye doctor0.237638
varicella-zoster virus0.23693
animal dander0.21784
healthcare provider0.234481
bacterial conjunctivitis0.606385
following cases0.221657
primary care0.215496
antibiotics0.25329
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4808 Centers for Disease Control and Prevention Html en Arthritis in the Canadian Aboriginal Population: North-South Differences in Prevalence and Correlates null
Aboriginal groups—off-reserve0.376863
concurrent chronic diseases0.390132
arthritis patients0.489503
lower prevalence0.454952
regional differences0.425686
non-Aboriginal people0.449717
Canadian Arthritis Network0.511139
lower prevalence estimates0.406139
H. Aboriginal Peoples0.404546
risk factors0.459174
northern territories0.42484
rheumatoid arthritis0.677507
arthritides—rheumatoid arthritis0.483343
Aboriginal ancestry0.365253
multiple Aboriginal groups0.439648
arthritis0.989573
self-reported arthritis rubric0.525161
Statistics Canada0.827667
Aboriginal Peoples Survey0.790504
non-reserve Aboriginal Population0.403785
off-reserve Aboriginal population0.408906
Peschken C. Arthritis0.507783
Aboriginal residents0.375112
aboriginal population0.463281
Aboriginal groups0.623226
Arthritis prevalence0.573387
north0.465108
Aboriginal respondents0.401966
chronic disease arthritis0.541052
Semin Arthritis Rheum.0.559623
crude prevalence0.503632
prevalence0.612578
Aboriginal people0.969671
body mass index0.37936
clinically undifferentiated arthritis0.517493
musculoskeletal disorders0.363382
Aboriginal Manitobans0.366794
health care0.541213
arthritis report0.49143
following Aboriginal groups0.437088
chronic diseases0.41526
age-adjusted prevalence0.420188
South0.410995
Catalogue No.0.422728
Aboriginal populations0.369718
National Aboriginal Arthritis0.631682
different Aboriginal groups0.454463
public health significance0.424456
crude prevalence proportions0.415809
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4845 Centers for Disease Control and Prevention Html en Carbon Monoxide Poisoning|Natuaral Disasters and Severe Weather Information on disasters. Provided by the Centers for Disease Control and Prevention (CDC).
colorless gas0.951197
emergencies0.230152
camper0.211959
natural disasters0.764256
alternative sources0.641989
Carbon monoxide0.88491
power outages0.836862
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5692 Centers for Disease Control and Prevention Html en 4-Aminodiphenyl - NIOSH Pocket Guide to Chemical Hazards null
MPEG0.378858
search0.263099
PDF0.261307
PPT0.446092
DOC0.368812
information0.262482
different file formats0.938484
page0.276773
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6189 Centers for Disease Control and Prevention Html en An observational study of physical activity in parks in Asian and Pacific Islander communities in urban Honolulu, Hawaii, 2009. null
park users0.82137
Pacific Islander women0.312209
increased physical activity0.283814
girls0.287517
parks0.690292
park conditions0.355097
high-income neighborhood parks0.330821
vigorous physical activity0.447644
logistic regression0.288992
neighborhood income level0.304491
lower-income neighborhood parks0.319091
Pacific Islander populations0.310608
raters0.340768
physical activity level0.337693
vigorous activity0.295851
community parks0.339336
middle-income neighborhood parks0.320291
park usage0.386378
high-income neighborhoods0.300169
low-income neighborhood parks0.327559
Honolulu parks0.30302
neighborhood parks0.372829
high-income parks0.338707
low-income parks0.353913
study0.286292
public parks0.383476
Pacific Islander0.554008
vigorous physical activities0.343329
physical activity resource0.326254
physically active park0.2918
Pacific Islander communities0.428835
female park users0.299021
people used parks0.323052
parks users0.31415
direct observation tool0.295344
district parks0.317164
outdoor park users0.296165
rate physical activity0.29015
lower socioeconomic status0.283338
public health0.301624
vigorous activities0.348059
low-income neighborhoods0.311209
urban parks0.31211
individual park users0.29705
income level0.310624
physical activity0.988135
Pacific Islander population0.29165
Pacific Islanders0.485501
validated direct observation0.294699
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6835 Centers for Disease Control and Prevention Html en Global Health - Dr. Frieden visits Kenya In Kenya, the CDC is addressing the region's toughest health problems at their source, directly working with vulnerable families and communities in local hospitals, clinics, and laboratories.
CDC0.860943
CDC staff in-country0.737051
foreign countries0.504232
Secretary0.416234
Laboratory Training Program0.590482
demographic status0.500026
polio eradication program0.631368
U.S. efforts0.507961
technical support0.494493
Human Services Kathleen0.574685
Institute0.416538
CDC Field Research0.742024
CDC-affiliated staff0.503964
epicenter0.422002
FETP/FELTP website0.503549
laboratory training0.60351
field station0.497222
Dr. Tom Frieden0.76604
disease surveillance0.492073
Scott Gration0.513561
important contributions0.490518
officers0.417393
important milestone0.495945
CDC staff0.837726
CDC overseas platforms0.731937
laboratory training programs0.587926
strategies0.417008
Director0.418938
polio case0.554838
KEMRI0.449683
CDC staff collect0.746551
w/ largest gathering0.583937
people0.416266
Kenya Medical Research0.677329
India0.458617
global health activities0.619272
dynamic public health0.599801
TP programs0.510105
U.S. Ambassador0.514785
Kenyan health officials0.630129
Kisian0.416621
Field Epidemiology0.525074
preventable deaths0.521142
Learn0.416992
information0.416316
visit0.431013
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7381 Centers for Disease Control and Prevention Html en Pandemic Resources Tools - FluLabSurge 1.0 FluLabSurge is a spreadsheet-based program designed to assist laboratory directors forecast demand for specimen testing during the next influenza pandemic (i.e., the surge in demand), and develop response plans - CDC
different modules0.504497
clinical diagnostics0.522126
laboratory directors0.520015
United States0.495422
influenza-testing laboratories0.41566
strain identification0.417184
Software Application0.519959
free storage memory0.48972
response plans0.422225
one-page plan0.421335
pandemic influenza0.742291
one-way sensitivity analysis0.496166
U.S. Federal Government0.486984
testing capacity0.446881
time period0.410813
diagnostic machines0.412385
particular module0.461101
FluLabSurge download0.43845
lab capacity0.422321
1918-type pandemic scenarios0.768625
general modeling philosophy0.482558
Cox NJ0.486651
file download menu0.487674
total number0.419412
spreadsheet-based program0.429849
Fukuda K. Modeling0.493421
particular laboratory0.42249
Fukuda K.0.513602
influenza pandemic0.886691
economic impact0.566602
QuickStart Manual0.512333
Pandemic Planning Module0.97658
daily number0.528611
Security Warning Screen0.480604
Download Stand-alone FluLabSurge0.719888
specimens0.427479
additional test0.410827
public health officials0.519504
Meltzer MI0.588279
Laboratory Capacity Module0.737219
Workload Demand Module0.745783
user-defined testing goals0.531666
meaningful results0.415942
page0.427012
1968-type pandemic0.672448
laboratory testing capacities0.530887
pandemic stages0.698113
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7935 Centers for Disease Control and Prevention Html en Getting Health Care Abroad | CDC Features Travelers may get sick or injured while traveling, and you should plan in advance how to get care when you’re overseas.
allergies0.47784
medicines0.700393
clinics0.468808
United States0.762093
emergency0.470823
foreign country0.784858
advance0.591649
pregnant women0.820891
trip0.468478
evacuation insurance0.788638
travel health0.769214
counterfeit0.49433
long time0.802145
event0.470918
case0.535023
MedicAlert bracelet0.800952
Carry0.475495
senior citizens0.808194
simple things0.779589
medical services0.778586
people0.529377
travelers0.93284
friends0.471012
blood type0.77036
doctor0.473829
following resources0.783863
chronic illnesses0.779064
medical conditions0.729676
delays0.486329
doctors0.470029
lists0.468932
destination country0.784957
local language0.754479
embassy0.494106
family0.471075
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8268 Centers for Disease Control and Prevention Html en Vital Signs: Carbapenem-Resistant Enterobacteriaceae 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.
Escherichia coli0.466345
CRE HAI0.631009
CRE emergence.* Patients0.624794
CRE definitions0.610392
U.S. acute-care hospitals0.475282
Current CRE prevention0.622305
Klebsiella species0.517705
Enterobacteriaceae infections0.471007
CRE burden0.593277
Nosocomial Infection Surveillance0.504013
surgical site infections0.466075
substantial health-care exposures0.508069
Klebsiella pneumoniae carbapenemase0.47937
acute-care hospitals0.684702
CRE0.926293
Laboratory Standards Institute0.465443
population-based CRE surveillance0.716057
United States0.620626
health-care–associated infections0.468467
panresistant Klebsiella pneumoniae0.468596
Emerging Infections Program0.506065
CRE control efforts0.616337
central-line–associated bloodstream infections0.468343
EIP CRE surveillance0.641391
Klebsiella oxytoca0.471968
long-term acute-care hospitals0.544472
National Healthcare Safety0.482458
CRE episodes0.628771
health-care settings0.50975
CRE bloodstream infections0.623659
health-care infections0.468808
CRE gains0.582108
CRE surveillance project0.713855
CRE prevention strategies0.663682
CRE incidence0.593682
pan-resistant CRE0.599614
short-stay acute-care hospitals0.505885
gram-negative bacilli0.50432
carbapenem resistance0.468966
proportion CRE0.610677
urinary tract infections0.46381
health-care facilities0.46571
CRE patients0.643311
CRE culture-positive episodes0.746417
Healthcare Safety Network0.529321
past decade0.488091
Klebsiella pneumoniae0.525158
National Nosocomial Infection0.487718
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9225 Centers for Disease Control and Prevention Html en Japanese Encephalitis Surveillance and Immunization - Asiaand the Western Pacific, 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.
limited JE virus0.384675
JE virus infection0.416332
je laboratory network0.472324
JE disease burden0.392449
JE surveillance0.699199
JE vaccine0.615196
JE case0.456439
Western Pacific Region0.213137
JE immunization programs0.459832
JE prevention activities0.389795
JE risk0.380243
JE immunization program0.595277
national immunization programs0.203587
effective JE prevention0.378277
Susan L. Hills0.200043
World Health Organization0.226498
JE surveillance programs0.475501
je prevention0.459887
JE case reporting0.393241
sentinel surveillance0.207298
countries0.301468
JE virus transmission0.975698
JE control0.425094
surveillance case definition0.22018
surveillance sites0.208533
JE vaccination program0.387209
public health problem0.279711
case definition0.253208
government surveillance programs0.216907
virus transmission risk0.493745
risk areas0.200388
JE vaccination0.400127
laboratory confirmation0.207494
JE cases0.482208
pediatric JE vaccines0.447179
Western Pacific0.241774
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