| 5786 |
Centers for Disease Control and Prevention |
Html |
en |
Isoamyl alcohol (primary) - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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CLICK HERE |
| 5806 |
Centers for Disease Control and Prevention |
Html |
en |
Titanium dioxide - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
CLICK HERE |
| 5823 |
Centers for Disease Control and Prevention |
Html |
en |
Captan - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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CLICK HERE |
| 6333 |
Centers for Disease Control and Prevention |
Html |
en |
Causal beliefs and perceptions of risk for diabetes and cardiovascular disease, the Netherlands, 2007. |
null |
| self-reported risk factor | 0.207159 |
| disease risk | 0.484318 |
| unhealthy diet | 0.222431 |
| population-based diabetes screening | 0.208609 |
| undiagnosed diabetes | 0.203395 |
| CVD risk | 0.326841 |
| physiological risk factors | 0.206915 |
| self-reported risk factors | 0.370744 |
| CVD risks | 0.235949 |
| participants | 0.242969 |
| behavioral risk factors | 0.205243 |
| risk factors | 0.819131 |
|
| personal risk factor | 0.214841 |
| people | 0.220769 |
| diabetes risk | 0.32313 |
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| CVD | 0.671465 |
| disease causation | 0.201967 |
| family history | 0.304043 |
| causal beliefs | 0.66876 |
| risk | 0.999827 |
| personal risk factors | 0.255776 |
| risk factor information | 0.218356 |
| diabetes | 0.705306 |
|
CLICK HERE |
| 8792 |
Centers for Disease Control and Prevention |
Html |
null |
Extreme Heat and Your Health: Heat and Infants and Children |
Extreme Heat Media Toolkit |
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CLICK HERE |
| 10171 |
Centers for Disease Control and Prevention |
Html |
es |
Personas con necesidades especiales|Terremotos |
Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
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| Archivo Microsoft | 0.984997 |
|
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| Archivo Texto | 0.600054 |
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| dÃgales dónde | 0.618151 |
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CLICK HERE |
| 10975 |
Centers for Disease Control and Prevention |
Html |
en |
Pandemic Flu Storybook: Clifton and Nellie Taliaferro |
I Survived, The staggering statistics associated with pandemics sometimes makes it difficult to remember that each number represents a single, human life. In this section, survivors share their intimate recollections of either their own illness or that of a loved one. All these storytellers are 90-plus years of age and they have carried with them for a lifetime their memories of the 1918 flu pandemic. |
| necessities | 0.463779 |
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| father | 0.443337 |
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| influenza pandemic | 0.67284 |
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| D.C. | 0.443473 |
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| undertaker | 0.471417 |
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CLICK HERE |
| 11641 |
Centers for Disease Control and Prevention |
Html |
en |
Vaccination with Tetanus, Diphtheria, and AcellularPertussis Vaccine of Pregnant Women Enrolled in Medicaid -Michigan, 2011-2013 |
Michelle Housey, MPH1,2, Fan Zhang, PhD3, Corinne Miller, DDS, PhD1, Sarah Lyon-Callo, MA, MS1, Jevon McFadden, MD1,4, Erika Garcia, MS1, Rachel Potter, DVM1 (Author affiliations at end of text). |
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| pregnancy status | 0.379923 |
| maternal age | 0.745893 |
| prenatal vaccination | 0.402921 |
| information system data | 0.368757 |
| significant difference | 0.421024 |
| vaccination coverage | 0.561289 |
| pregnant women | 0.713089 |
| Hispanic women | 0.460066 |
| maternal race/ethnicity | 0.437054 |
| Tdap | 0.816842 |
| gestational age | 0.525344 |
| privately insured population | 0.369776 |
| pregnancy | 0.61323 |
| Kotelchuck index | 0.364157 |
| publicly insured population | 0.369716 |
| prenatal care | 0.537671 |
| white women | 0.661047 |
| complete vaccination histories | 0.479846 |
| particularly vulnerable population | 0.383485 |
| optimal vaccination time | 0.511701 |
| women | 0.944241 |
| vaccination | 0.851344 |
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|
| median maternal age | 0.451358 |
| Michelle Housey | 0.363775 |
| administrative claims data | 0.490571 |
| privately insured women | 0.413232 |
| Native American women | 0.637955 |
| vaccination administration | 0.412919 |
| publicly insured Medicaid | 0.392304 |
| Tdap vaccination history | 0.512872 |
| privately insured infants.* | 0.383527 |
| entire study population | 0.374812 |
| ACIP recommendation | 0.396126 |
| maternal Medicaid | 0.454773 |
| publicly insured women | 0.424124 |
| Tdap dose | 0.397948 |
| maternal antibodies | 0.377978 |
| study population | 0.545449 |
| maternal race | 0.510735 |
| Tdap coverage | 0.422354 |
| influenza vaccination | 0.392108 |
| publicly funded insurance | 0.364057 |
| ACIP recommendations | 0.38861 |
| significant predictors | 0.448816 |
| statewide immunization information | 0.676392 |
| Tdap vaccination | 0.682051 |
|
CLICK HERE |
| 12583 |
Centers for Disease Control and Prevention |
Video |
en |
Rose: Three Keys to Recovery | Tips From Former Smokers |
Rose had lung cancer from smoking cigarettes, and she needed very difficult medical treatments. This video explains three keys that helped her get through treatments: family support, faith, and quitting smoking.
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=68424ecf2f978c46d57a4fe0c4cd41d120140925164127140 |
| Smokers | 0.915255 |
| CDC | 0.901732 |
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|
| Recovery | 0.431111 |
| YouTube | 0.85455 |
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CLICK HERE |
| 15872 |
Centers for Disease Control and Prevention |
Html |
null |
CDC Wins Hermes Gold Award for Mobile Game Targeting Health Disparate Populations |
CDC Wins Hermes Gold Award for Mobile Game Targeting Health Disparate Populations - CDC
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CLICK HERE |