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Total Results: 16203

Media ID Source Name Media Type Language Media Name Media Description Keywords Keywords Link to Article
667 Centers for Disease Control and Prevention Html en Specific Populations - Smoking & Tobacco Use Your browser does not support iFrames.
email updates0.823672
MPEG0.345912
Tobacco0.486531
PDF0.279145
PPT0.391665
email address0.807714
DOC0.339595
different file formats0.969515
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4406 Centers for Disease Control and Prevention Image null Hurricane Logo (600W x 600H) null
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5591 Centers for Disease Control and Prevention Html en Phenyl ether-biphenyl mixture (vapor) - 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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7742 Centers for Disease Control and Prevention Html en Bartonella - Transmission Bartonella bacteria cause several diseases in humans. The three most common are cat scratch disease, caused by B. henselae; trench fever, caused by B. quintana; and Carrión's disease, caused by B. bacilliformis.
pets0.236072
trench fever0.95735
vertebrate reservoir0.400584
North America0.400485
competent arthropod vectors0.586301
children0.241983
homeless populations0.403748
bartonellosis0.258355
convincing evidence0.421585
infected cat fleas0.740042
western South America0.555017
human body louse0.613807
organism0.236397
Andean highlands0.396974
scratch0.238349
European trenches0.414828
sand flies0.393371
B. rochalimae0.399208
feral cats0.444093
Oroya fever0.464714
geographic distribution0.389957
newly recognized species0.55935
Andes Mountains0.400007
infected body lice0.678911
United States0.415215
scratches0.256765
winter0.235678
association0.234684
worldwide distribution0.395469
kittens0.237469
poor sanitation0.408426
high population density0.573698
genus Lutzomyia0.41745
Bartonella infection0.628039
Stray cats0.420866
CSD0.517098
bite0.240308
body louse infestations0.625088
World War0.405427
Peruvian warts0.399889
elevation0.23587
disease0.32774
cases0.321832
ticks0.291555
People0.240302
Bartonella bacteria0.875691
verruga peruana0.392544
ill traveler0.398042
humans0.279172
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8558 Centers for Disease Control and Prevention Html en PanFlu Storybook - War Stories, Arne Thompson War Stories, The first cases of illness from the 1918 flu pandemic in the United States were reported from Fort Riley, Kansas on March 11 when an Army private became ill; complaining of fever, sore throat, and headache. Military personnel were greatly impacted by the virus and many young recruits were dead from the flu before they ever saw combat.
Ret0.278731
Coast Artillery Corps0.719502
train ticket home0.65968
aforementioned duty0.496453
foreman0.265109
dad0.337899
David A. Thompson0.776934
father0.244908
soldiers0.316424
PFC0.269519
Railway Mail Service0.676689
navigation Skip0.705922
life0.243522
CDR0.263377
Christmas Eve0.463376
Great Flu Pandemic0.846841
Paynesville0.376748
Storyteller0.26017
post office0.460762
Arne Thompson0.519904
separation pay0.453151
World War0.713038
Army0.288563
cordwood0.288086
list Skip0.710116
page options Skip0.967819
Norwegian immigrants0.494599
Minnesota0.295414
over-whelmed burial0.517439
Camp Dodge0.467796
graves0.252132
family0.243444
comrades0.271324
CHC0.292967
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9220 Centers for Disease Control and Prevention Html en Preventing Chronic Disease | A Binational Overview of Reproductive Health Outcomes Among US Hispanic and Mexican Women in the Border Region - CDC The US–Mexico border region has 15 million residents and 300,000 births annually. Reproductive health concerns have been identified on both sides of the border, but comparable information about reproductive health is not available. The objective of this study was to compare reproductive health indicators among populations in this region.
US–Mexico border communities0.227318
Mexican women0.266153
Mexican border women0.447068
border birth rates0.247734
United States0.507315
total fertility rates0.224858
Mexican border0.731344
Mexican border areas0.276548
high birth weight0.22076
United States–Mexico border0.235366
Mexican nonborder0.202192
Mexican border states0.366282
border state populations0.218434
border residents0.221806
US–Mexico border population0.25822
US–Mexico border0.28221
Mexican border municipios0.249603
border rates0.225451
Texas border counties0.235006
Mexican birth certificate0.217403
Mexican border region0.400988
border state births0.295235
border0.935715
US–Mexico border region0.250288
border county births0.270373
border region0.858768
border population0.29063
border states0.547215
birth certificate0.260531
border region women0.241506
border counties0.299922
births0.446874
border region births0.303413
Mexican border births0.379667
reproductive health0.320954
prenatal care0.30178
border region municipios0.204281
Mexican border regions0.270924
U.S.–Mexico border region0.202961
Hispanic US–Mexico border0.268726
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9349 Centers for Disease Control and Prevention Html es Dependencia de la nicotina y sus factores de riesgo entre beneficiarios de los servicios médicos para veteranos, 2008-2009 null
Tsai J0.736971
mayores factores0.613545
Estados Unidos0.921469
Chronic Dis0.711722
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11150 Centers for Disease Control and Prevention Html en NIOSH Update - NIOSH Health Hazard Evaluation Highlights Importance of Preventing Heat-Related Illness null
rest periods0.488675
hot environment0.657675
mental status0.493942
recommendations0.430359
fellow workers0.491151
worksites0.4259
federal agency0.485648
heat stress0.7221
cooler weather0.493638
cool areas0.492851
Health Hazard Evaluation0.931302
heat-related illnesses0.6283
heat rashes0.526612
work-related injuries0.484647
severe form0.493157
Health Act0.485833
heat stroke0.726902
recent Health Hazard0.564856
Press Office Contact0.590744
exertion0.423089
bizarre behavior0.492856
cool area0.489835
new workers0.496086
heat-related illness0.748984
mandatory buddy0.491987
symptoms0.429828
outdoor tasks0.488994
Drink water0.486292
hot environments0.65631
helpful tips0.486387
heat illness prevention0.625782
heat related illness0.613453
Hazard Evaluation Program0.559919
heat cramps0.524968
Occupational Safety0.583523
extreme heat0.580682
national park0.577265
hot summer0.501757
frequent breaks0.48878
pre-existing medical conditions0.568091
low sugar beverages0.554024
outdoor workers0.569098
National Institute0.501792
light-colored/light weight clothing0.554114
hazard evaluation report0.727124
Christina Spring0.502482
body’s response0.495027
information0.429922
acclimatization0.447287
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14210 Centers for Disease Control and Prevention Html en QA: Infants and Zika Virus Infection | Zika virus null
QA0.452294
CDC0.40367
Infants0.419194
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16389 Centers for Disease Control and Prevention Html en Child Development, Developmental Screening null
school settings0.474858
American Academy0.544191
developmental screening test0.685475
early childhood programs0.537128
developmental problems0.586332
basic skills0.47797
children0.606117
educational settings0.4726
Additional screening0.515077
school readiness0.474267
early warning signs0.535086
Bright Futures materials0.520293
intervention treatment services0.683418
developmental disabilities0.579358
formal diagnosis0.539983
time significant delays0.582089
early intervention treatment0.685891
regular well-child doctor0.540007
emotional well-being0.474656
Well-child visits0.476646
behavioral disability0.470885
early intervention services0.679295
important skills0.470373
special health care0.547618
high risk0.475674
intellectual disability0.473619
child0.59844
Screening Guidelines0.500475
United States0.475338
developmental screening0.933179
well-child visit0.48209
periodic developmental screening0.6972
healthy development0.479619
developmental disorders0.569974
health care0.552225
developmental monitoring0.722983
language delays0.517298
regular contact0.478547
developmental delays0.858814
special needs0.47789
early intervention0.872473
short test0.478072
attention-deficit/hyperactivity disorder0.478842
emotional health issues0.524031
Bright Futures0.522867
National Association0.471385
low birthweight0.482439
Young Children0.484812
Developmental Surveillance0.564756
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