| 7251 |
Centers for Disease Control and Prevention |
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Notes from the Field: Severe Varicella in an Immunocompromised Child Exposed to an Unvaccinated Sibling with Varicella - Minnesota, 2011 |
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. |
| mmwrq@cdc.gov. | 0.420541 |
| fatal varicella | 0.69122 |
| human immunodeficiency | 0.41564 |
| substantial laboratory abnormalities | 0.485588 |
| younger sibling | 0.412927 |
| United States | 0.408298 |
| original MMWR paper | 0.483383 |
| U.S. Government Printing | 0.47751 |
| Human Services | 0.482381 |
| Minnesota Department | 0.411799 |
| assistive technology | 0.41495 |
| immunocompromised persons | 0.51481 |
| older sister | 0.476998 |
| 2-day history | 0.409782 |
| U.S. Department | 0.480498 |
| MMWR HTML versions | 0.47628 |
| hemorrhagic varicella | 0.752982 |
| prophylactic varicella zoster | 0.815504 |
| varicella vaccination program | 0.868749 |
| electronic PDF version | 0.476844 |
| varicella vaccine | 0.715331 |
| self-limited disease | 0.415523 |
| intravenous acyclovir | 0.41464 |
|
| weekly immunosuppressive therapy | 0.520104 |
| varicella symptoms | 0.708119 |
| Sarah K. Kemble | 0.614763 |
| live vaccine virus | 0.48 |
| subject line | 0.415342 |
| Contact GPO | 0.408518 |
| long-term immunosuppressive therapy | 0.503292 |
| new skin lesions | 0.497418 |
| hesitant parents | 0.410581 |
| Investigational New Drug | 0.484505 |
| T-lymphocyte immunodeficiency | 0.412251 |
| juvenile rheumatoid arthritis | 0.487347 |
| immunosuppressive therapy | 0.52939 |
| extensive maculopapulovesicular rash | 0.49825 |
| postexposure prophylaxis | 0.410669 |
| skin lesions | 0.514172 |
| varicella-related hospitalizations | 0.415087 |
| varicella immunity | 0.862355 |
| original paper copy | 0.470251 |
| high risk | 0.491642 |
| immunocompromised patient | 0.478487 |
| varicella zoster virus | 0.778061 |
| immunocompromised patients | 0.485254 |
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| 8060 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Substitution Patterns Can Limit the Effects of Sugar-Sweetened Beverage Taxes on Obesity - CDC |
Dramatic increases in obesity and sugar-sweetened beverage consumption over the past several decades have become major public health and clinical concerns. Obesity rates tripled in 30 years, and sugar-sweetened beverage consumption among children more than doubled in the last 2 decades of the twentieth century. |
| basic economic reasoning | 0.489323 |
| caloric beverages | 0.547062 |
| obesity rates | 0.775527 |
| Prev Chronic Dis | 0.499619 |
| soft drink tax | 0.535373 |
| soft drink calories | 0.542939 |
| caloric sweeteners | 0.538428 |
| daily beverage consumption | 0.548872 |
| potential health benefits | 0.488053 |
| sugar-sweetened beverage tax | 0.533183 |
| big taxes | 0.549471 |
| obesity reduction | 0.538461 |
| poor health outcomes | 0.485813 |
| soft drink | 0.722762 |
| weight | 0.463891 |
| high social costs | 0.488336 |
| poor dental health | 0.487452 |
| higher prices | 0.482117 |
| actual substitution patterns | 0.498418 |
| sugar-sweetened beverage taxes | 0.777932 |
| soft drink taxes | 0.696831 |
| grocery store prices | 0.490402 |
| soft drink consumption | 0.566277 |
| local taxes | 0.511234 |
| major public health | 0.513598 |
|
| beverage taxation legislation | 0.512583 |
| higher taxes | 0.504361 |
| compelling success story | 0.490859 |
| soft drinks | 0.751452 |
| high-calorie beverages | 0.486582 |
| studies | 0.485619 |
| sugar-sweetened beverages | 0.829455 |
| household consumption | 0.48035 |
| sugar-sweetened beverage consumption | 0.875989 |
| public health | 0.687375 |
| Tefft N. Substitution | 0.521949 |
| soft drink purchases | 0.532024 |
| high calorie beverages | 0.528868 |
| good public health | 0.49322 |
| public health measures | 0.562461 |
| substitution patterns | 0.619789 |
| obesity epidemic | 0.505888 |
| daily caloric intake | 0.519882 |
| unhealthful beverages | 0.485464 |
| Public Health Service | 0.492419 |
| sugar-sweetened beverage | 0.986897 |
| sugar-sweetened beverage taxation | 0.597452 |
| small taxes | 0.549304 |
| Associated high levels | 0.481364 |
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| 8507 |
Centers for Disease Control and Prevention |
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Appendix C - 2011 BSI Guidelines - HICPAC |
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| 9718 |
Centers for Disease Control and Prevention |
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Videos de Jessica - Videos - Recursos de la campaña - Consejos de exfumadores |
La campaña Consejos de exfumadores muestra casos reales de personas que padecen afecciones por fumar o por la exposición al humo de segunda mano. |
| hijo aden | 0.613748 |
| Archivo Apple Quicktime | 0.695326 |
| Archivo RealPlayer | 0.609807 |
| Archivo Zip Comprimido | 0.704239 |
| Archivo Microsoft PowerPoint | 0.726358 |
|
| Archivo Adobe PDF | 0.698927 |
| Archivo Microsoft Excel | 0.69688 |
| Archivo Microsoft | 0.984471 |
| mano proveniente | 0.599416 |
| Archivo Microsoft Word | 0.721837 |
|
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| 10933 |
Centers for Disease Control and Prevention |
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Lung Cancer Diagnosis and Treatment |
Breast cancer is treated in several ways. It depends on the kind of breast cancer and how far it has spread. |
| medicines | 0.206087 |
| Lung Cancer Treatment | 0.331409 |
| lung surgery | 0.250951 |
| standard treatments | 0.20655 |
| cancer cells | 0.248123 |
| standard cancer treatments | 0.237196 |
| non-small cell lung | 0.716584 |
| lung cancer | 0.930426 |
|
| new treatment options | 0.227747 |
| cell lung cancer | 0.862118 |
| doctors | 0.225301 |
| small cell lung | 0.683621 |
| radiation therapy | 0.296755 |
| National Cancer Institute | 0.246551 |
| alternative medicine | 0.329554 |
|
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| 12582 |
Centers for Disease Control and Prevention |
Video |
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Amanda's Ad | Tips From Former Smokers |
Smoking while you're pregnant can cause serious health problems for you and your baby. In this TV ad for CDC's Tips From Former Smokers campaign, Amanda talks about the time her baby spent in a hospital incubator. Amanda had tried to quit smoking, but she was unable to overcome her addiction to cigarettes. Her baby was born 2 months early, weighing only 3 pounds.
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=122d86e4b6c49e6486ed4cceebc42cfe20140620142859500 |
| Smokers | 0.932887 |
| CDC | 0.92604 |
|
| YouTube | 0.871802 |
| Amanda | 0.853385 |
|
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Centers for Disease Control and Prevention |
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Public Health Response to a Changing Climate | CDC Features |
Climate change threatens human health and well-being in many ways. Learn what CDC is doing to prevent and adapt to the possible health effects of climate change. |
| Circumpolar Health Studies | 0.636137 |
| functions | 0.511238 |
| likely climate impacts | 0.741858 |
| potential health effects | 0.642645 |
| Building Resilience | 0.571047 |
| Climate Ready States | 0.723605 |
| human health | 0.596196 |
| BRACE framework | 0.583517 |
| geographic regions | 0.567525 |
| global issue | 0.57147 |
| Climate Effects | 0.670772 |
| climate change | 0.988316 |
| Health Program | 0.673896 |
| critical public health | 0.636092 |
| Health Program supports | 0.642443 |
| well-being | 0.513134 |
| HHS investment | 0.575708 |
| health changes | 0.576306 |
| Alaskan natives | 0.568276 |
| water safety | 0.563462 |
| climate change observers | 0.729048 |
| CDC’s Climate | 0.672983 |
| environmental consequences | 0.572992 |
| shellfish poisoning | 0.56418 |
| possible health effects | 0.647856 |
|
| programs | 0.511653 |
| health effects | 0.682706 |
| Cities Initiative | 0.565272 |
| at-risk populations | 0.576669 |
| health threats | 0.584193 |
| address gaps | 0.572197 |
| ways | 0.513207 |
| systems | 0.511691 |
| health adaptation plans | 0.639456 |
| Alaskan villagers | 0.567048 |
| red tide | 0.563053 |
| villages | 0.511215 |
| future trends | 0.566559 |
| health | 0.688112 |
| sequential steps | 0.56577 |
| sentinel surveillance | 0.564016 |
| services | 0.511232 |
| algae blooms | 0.565398 |
| Alaska Anchorage | 0.562387 |
| precipitation data | 0.564452 |
| climate change adaptation | 0.742177 |
| locations | 0.511368 |
| health risks | 0.583337 |
| scientific world | 0.564634 |
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Centers for Disease Control and Prevention |
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Measles | Casos y brotes de sarampión |
null |
| New York | 0.3124 |
| Archivo Apple Quicktime | 0.320822 |
| Archivo RealPlayer | 0.312878 |
| Centro Nacional | 0.313685 |
| Archivo Microsoft PowerPoint | 0.322398 |
| Archivo Adobe PDF | 0.320625 |
| Enfermedades Respiratorias | 0.314548 |
| Estados Unidos | 0.953335 |
|
| Archivo Microsoft | 0.358457 |
| diagnosticó sarampión | 0.368449 |
| Archivo Microsoft Word | 0.322163 |
| New Jersey | 0.314195 |
| página web sarampión | 0.446104 |
| Archivo Zip Comprimido | 0.32057 |
| Archivo Microsoft Excel | 0.320514 |
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| 15360 |
Centers for Disease Control and Prevention |
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A Longitudinal Study of Structural Risk Factors for Obesity and Diabetes Among American Indian Young Adults, 1994-2008 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| neighborhood mobility | 0.318366 |
| American Indian participants | 0.295116 |
| health care provider | 0.300593 |
| average neighborhood poverty | 0.301506 |
| National Longitudinal Study | 0.300999 |
| neighborhood poverty rate | 0.385489 |
| type | 0.331302 |
| social determinants | 0.414615 |
| future research | 0.365718 |
| block group data | 0.459837 |
| obesity | 0.430085 |
| Add Health data | 0.297929 |
| neighborhood collective efficacy | 0.445876 |
| American Indian adolescents | 0.405268 |
| elevated HbA1c | 0.462974 |
| control variables | 0.38247 |
| neighborhood poverty | 0.515804 |
| structural risk factors | 0.429944 |
| American Indian sample | 0.296448 |
| American Indians | 0.782785 |
| Perceived Stress Scale | 0.376909 |
| rich neighborhood data | 0.307508 |
| young adults | 0.479991 |
| Indian young adults | 0.438906 |
|
| neighborhood | 0.563518 |
| standard deviation increase | 0.318426 |
| higher rates | 0.384275 |
| self-reported high blood | 0.43817 |
| Add Health | 0.410027 |
| American Indian subsample | 0.589196 |
| neighborhood characteristics | 0.314362 |
| poor health | 0.310369 |
| high blood glucose | 0.905619 |
| official poverty threshold | 0.37411 |
| American Indian children | 0.295006 |
| Cohen Perceived Stress | 0.377358 |
| non-Hispanic whites | 0.454889 |
| additional neighborhood factors | 0.340761 |
| neighborhood factors | 0.345623 |
| occupied housing units | 0.370898 |
| stress | 0.390777 |
| elevated HbA1c levels | 0.301133 |
| neighborhood variables | 0.298397 |
| social cohesion | 0.293355 |
| Census block group | 0.466933 |
| neighborhood measures | 0.304213 |
| better neighborhood efficacy | 0.354298 |
| logistic regression models | 0.324673 |
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State Programs |
null |
| Prescription Drug Overdose | 0.850611 |
| scientific expertise | 0.506835 |
| effort | 0.393205 |
| Overdose Prevention | 0.866438 |
| targeted resources | 0.488879 |
| states | 0.431364 |
| support resources | 0.499192 |
| CDC Injury Center | 0.678839 |
| surveillance activities | 0.526195 |
| Opioid Overdose Surveillance | 0.961721 |
| fatal opioid overdoses | 0.813057 |
| Data-Driven Prevention Initiative | 0.639312 |
|
| Washington D.C. | 0.507532 |
| Report | 0.331511 |
| epidemic | 0.409144 |
| DDPI | 0.32858 |
| OPIS | 0.362518 |
| heart | 0.328623 |
| illicit opioid abuse | 0.777255 |
| Enhanced | 0.35177 |
| State | 0.328477 |
| hot spots | 0.497813 |
| information | 0.329047 |
| programs | 0.385173 |
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