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Centers for Disease Control and Prevention |
Html |
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Type of Healthcare-Associated Infections - HAI |
null |
| patient safety | 0.256251 |
| line-associated bloodstream infections | 0.929332 |
| surgical site infections | 0.827833 |
| urinary tract infections | 0.922856 |
| surgery sites | 0.256658 |
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| ventilator-associated pneumonia | 0.304234 |
| important threat | 0.278615 |
| Modern healthcare | 0.310715 |
| medical procedures | 0.2639 |
| invasive devices | 0.315294 |
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Centers for Disease Control and Prevention |
Html |
en |
Dimethylaminopropionitrile - NIOSH Pocket Guide to Chemical Hazards |
null |
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| DOC | 0.368812 |
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| different file formats | 0.938484 |
| page | 0.276773 |
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| 6272 |
Centers for Disease Control and Prevention |
Html |
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FASD - Research |
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. |
| CDC’s research | 0.285988 |
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| intervention programs | 0.287102 |
| binge drinking | 0.788404 |
| health information | 0.281383 |
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| Risky Alcohol | 0.454581 |
| pregnant women | 0.348817 |
| previous studies | 0.277064 |
| Pregnancy Study | 0.294921 |
| Moderate Alcohol | 0.442962 |
| alcohol | 0.969943 |
| health messages | 0.284212 |
| Alcohol Screening | 0.420559 |
| following links | 0.286325 |
| prenatal alcohol exposure | 0.620019 |
| pregnancy | 0.461486 |
| American Journal | 0.280049 |
| moderate amounts | 0.27942 |
| alcohol-exposed pregnancy | 0.346799 |
| mother drank alcohol | 0.552851 |
| consuming alcohol | 0.455014 |
| birth control | 0.280335 |
| later developmental outcomes | 0.340909 |
| fetal alcohol spectrum | 0.737167 |
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| FASD prevention | 0.344771 |
| International Journal | 0.277835 |
| alcohol engage | 0.452029 |
| women | 0.40613 |
| women’s behaviors | 0.293676 |
| FASD Awareness | 0.330701 |
| United States | 0.515726 |
| women’s sources | 0.294878 |
| epidemiologic studies | 0.290388 |
| maternal risk factors | 0.361734 |
| physical problems | 0.289294 |
| FASD exposures | 0.345748 |
| drinking alcohol | 0.46154 |
| neurobehavioral disorder | 0.359642 |
| FASDs | 0.307251 |
| nonpregnant women | 0.293642 |
| five-year-old children | 0.336496 |
| Specific Neurodevelopmental Effects | 0.347402 |
| public health nurses | 0.432018 |
| alcohol spectrum disorders | 0.725809 |
| Alaska Public Health | 0.336213 |
| Childbearing Age | 0.299141 |
| specific neurodevelopmental outcomes | 0.350667 |
| Health Education | 0.283912 |
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Centers for Disease Control and Prevention |
Html |
en |
H1N2 Variant Influenza Virus Detected in Minnesota |
H1N2 Variant Virus Detected in Minnesota - CDC |
| long-term health conditions | 0.287267 |
| H1N2v virus | 0.587499 |
| influenza antiviral drugs | 0.465291 |
| Minnesota Department | 0.20081 |
| particular virus | 0.314113 |
| H1N1 pandemic virus | 0.481163 |
| flu complications | 0.336591 |
| infected pigs | 0.22053 |
| H1N2v viruses | 0.294554 |
| seasonal influenza viruses | 0.574999 |
| H1N1 virus | 0.377593 |
| pig arenas | 0.323117 |
| pigs | 0.275747 |
| Variant Influenza Viruses | 0.584303 |
| novel influenza viruses | 0.574013 |
| Swine Flu | 0.238669 |
| Minnesota Veterinary Diagnostic | 0.284494 |
| H3N2v virus | 0.351456 |
| close contact | 0.311093 |
| high risk factors | 0.747234 |
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| health conditions | 0.300106 |
| high risk conditions | 0.30514 |
| National Veterinary Services | 0.267198 |
| Influenza/Variant Influenza Viruses | 0.559684 |
| pandemic M gene | 0.513814 |
| additional human infections | 0.376287 |
| CDC seasonal flu | 0.331057 |
| influenza virus infections | 0.632965 |
| USDA Swine Influenza | 0.508845 |
| prompt medical attention | 0.281825 |
| people | 0.374541 |
| human infections | 0.62299 |
| influenza A H1N2 | 0.399842 |
| U.S. states | 0.301642 |
| influenza viruses | 0.994556 |
| Variant Virus Outbreaks | 0.468813 |
| high risk | 0.820838 |
| H1N2 variant viruses | 0.451007 |
| Minnesota State Fair | 0.534991 |
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Centers for Disease Control and Prevention |
Html |
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NCEH A to Z Index - G |
Resources for the National Center for Environmental Health |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Prevalence of High Body Mass Index Among Children and Adolescents at a US Military Treatment Facility, 2008"2009 - CDC |
We assessed the prevalence of high body mass index (BMI) in a large cohort of military children. The 23,778 military children studied were significantly less likely than the NHANES children to be overweight (27.1% vs 31.8%) or obese (11.9% vs 16.9%). |
| North Carolina | 0.449342 |
| military parents | 0.371209 |
| electronic medical records | 0.436236 |
| Womack Army Medical | 0.647117 |
| military family members | 0.50438 |
| civilian children | 0.486238 |
| Army Community Hospital | 0.405441 |
| prevalence data | 0.424575 |
| mean prevalence | 0.403386 |
| high BMI | 0.868253 |
| 85th percentile | 0.452246 |
| children | 0.975042 |
| pediatric enrollees | 0.35177 |
| vs self-reported data | 0.483065 |
| WAMC Institutional Review | 0.435064 |
| Nutrition Examination Survey | 0.417584 |
| 97th percentile | 0.691461 |
| body mass index | 0.453317 |
| civilian counterparts | 0.447807 |
| 2-year period | 0.328271 |
| military populations | 0.35706 |
| age groups | 0.478507 |
| recent BMI data | 0.553162 |
| Jill H. Fleming | 0.399638 |
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| military retirees | 0.391663 |
| parental BMI | 0.397057 |
| 95th percentile | 0.611423 |
| overall military population | 0.43486 |
| United States | 0.33978 |
| large cohort | 0.458397 |
| military parent | 0.451225 |
| 95th percentiles | 0.60998 |
| prevalence estimates | 0.40574 |
| Fort Bragg | 0.539517 |
| primary care clinics | 0.442358 |
| prevalence | 0.511969 |
| total eligible sample | 0.430963 |
| military children | 0.96743 |
| self-reported parental survey | 0.408814 |
| Medical Center Stop | 0.401221 |
| overweight | 0.464872 |
| following age groups | 0.41301 |
| NHANES children | 0.370251 |
| demographic data | 0.343343 |
| Y. Sammy Choi | 0.406396 |
| retired military members | 0.481455 |
| mean age | 0.327386 |
| military personnel | 0.395757 |
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Centers for Disease Control and Prevention |
Html |
es |
La historia de Annette - Consejos de exfumadores |
La historia de Annette, una exfumadora con cáncer de pulmón, es parte de la campaña Consejos de exfumadores de los CDC. |
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Centers for Disease Control and Prevention |
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CDC update on first Ebola case diagnosed in the United States: 10-08-2014 | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| press briefing | 0.591692 |
| Synaptic Digital/Tom Harkin | 0.69126 |
| CDC | 0.726928 |
| Non-Media | 0.356566 |
| Tom Frieden | 0.539004 |
| M.D. | 0.33565 |
| DL Freq | 0.51969 |
| Press Room | 0.515618 |
| Clifton Road NE | 0.667294 |
| Disease Control | 0.704851 |
| EDT | 0.352855 |
| Global Communications Center | 0.881958 |
| RSVP | 0.382991 |
| Important Instructions | 0.485524 |
| CDC Media | 0.641824 |
| Director | 0.335519 |
| touchtone phone | 0.490052 |
| http://wm.onlinevideoservice.com/CDC1 | 0.363343 |
| Texas Department | 0.504454 |
| CDC update | 0.703346 |
| press conference | 0.488753 |
| media briefing | 0.566267 |
| David Lakey | 0.547509 |
| KU-Band | 0.353268 |
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| Centers | 0.368085 |
| 720p | 0.35461 |
| United States | 0.683812 |
| State Health Services | 0.675122 |
| Satellite feed service | 0.628247 |
| Prevention | 0.36797 |
| Ebola case | 0.72138 |
| transcript | 0.359199 |
| press office | 0.51056 |
| contact CDC | 0.650579 |
| PASSCODE | 0.352789 |
| Tuesday | 0.372542 |
| M.P.H | 0.354885 |
| SR | 0.335621 |
| Tom Harkin Global | 0.707316 |
| question | 0.389436 |
| FEC | 0.349755 |
| Harkin Global Communications | 0.931406 |
| Commissioner | 0.336783 |
| Reporters | 0.36472 |
| Windows Media Connection | 0.646898 |
| visit http://www.cdc.gov/museum/visitor.htm | 0.486182 |
| investigation | 0.335914 |
| time | 0.363575 |
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CLICK HERE |
| 12647 |
Centers for Disease Control and Prevention |
Video |
en |
Let's Talk About Sexual Health |
Talking about sex may not be a regular part of your doctor-patient relationship, but it should be. This can be especially true for adolescents and young adults who are disproportionately impacted by sexually transmitted diseases (STDs). Nearly half of all new STD cases are in young people between the ages of 15 and 24. This video discusses the importance of a healthy dialogue between youth and providers concerning their sexual health, and features CDC Epidemiologist, Elizabeth Torrone, PhD MSPH.
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://www.cdc.gov/std/products/videos.htm |
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Centers for Disease Control and Prevention |
Html |
es |
DiagnÓstico de cÁncer asociado al VPH por edad |
Diagnóstico de cáncer asociado al VPH por edad. |
| Archivo Apple Quicktime | 0.634696 |
| Archivo RealPlayer | 0.583673 |
| Archivo Zip Comprimido | 0.633072 |
| Archivo Microsoft PowerPoint | 0.643824 |
| Archivo Adobe PDF | 0.633055 |
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| Archivo Microsoft Excel | 0.631846 |
| Estados Unidos | 0.980241 |
| Archivo Microsoft | 0.782241 |
| alta calidad | 0.576073 |
| Archivo Microsoft Word | 0.642425 |
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