| 5972 |
Centers for Disease Control and Prevention |
Html |
en |
Aluminum (soluble salts and alkyls, as Al) - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 6760 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - South Africa - CDC's Epidemiology and Strategic Programs |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
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| Annual Program Results | 0.686004 |
| HIV micro-epidemics analysis | 0.683135 |
| strategic information | 0.673929 |
| evidence-based program improvement | 0.661474 |
| surveillance strategic plan | 0.773268 |
| better understanding | 0.566518 |
| HIV epidemic | 0.589652 |
| Co-coordinated Site Monitoring | 0.672963 |
| HIV prevention | 0.589002 |
| tuberculosis programs | 0.5774 |
| Align PEPFAR | 0.553448 |
| information cooperative agreements | 0.652 |
| submission support | 0.554738 |
| strategic plan | 0.813168 |
| program planning | 0.566657 |
| AIDS Relief | 0.548454 |
| health information systems | 0.716013 |
| epidemiologic methods | 0.618259 |
| national M&E | 0.563342 |
| Provide expert | 0.553888 |
| PEPFAR SA Team | 0.675056 |
| surveillance activities | 0.604334 |
| program planners | 0.580561 |
| operational research | 0.948793 |
|
| surveillance systems | 0.668373 |
| UNAIDS country spectrum | 0.69062 |
| program initiatives | 0.559068 |
| Emergency Plan | 0.566303 |
| indicator results | 0.545709 |
| SI strategic plan | 0.696475 |
| expert technical assistance | 0.936523 |
| national surveys | 0.570783 |
| routine data | 0.583842 |
| treatment programs | 0.574123 |
| dynamic nature | 0.566237 |
| epidemiologic analysis | 0.597293 |
| data quality assessment | 0.710882 |
| non-federal site | 0.55685 |
| policy makers | 0.566846 |
| technical expertise | 0.587508 |
| public health science | 0.693739 |
| CDC South Africa | 0.724873 |
| data entry | 0.576171 |
| NDoH systems | 0.553298 |
| country-specific technical assistance | 0.693304 |
| data sharing | 0.58352 |
| operational research methods | 0.720977 |
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| 7251 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
Html |
en |
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 |
Html |
en |
Appendix C - 2011 BSI Guidelines - HICPAC |
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CLICK HERE |
| 9718 |
Centers for Disease Control and Prevention |
Html |
es |
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 |
Html |
en |
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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| 11770 |
Centers for Disease Control and Prevention |
Html |
en |
Smoking in Pregnancy: A Possible Risk for ADHD | CDC Features |
Learn and share during ADHD Awareness Month. |
| ADHD | 0.947815 |
| oppositional defiant disorder | 0.359197 |
| prenatal smoking | 0.413503 |
| United States | 0.211402 |
| previous Surgeon General | 0.32916 |
| free quit plan | 0.322803 |
| negative effects | 0.314858 |
| 50th anniversary | 0.204612 |
| small sample sizes | 0.336519 |
| prenatal exposure | 0.690573 |
| developmental outcomes | 0.327499 |
| specific neurobehavioral disorders | 0.421096 |
| free quit coaching | 0.323053 |
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| public health approach | 0.320676 |
| Disease Control | 0.203943 |
| children | 0.372022 |
| smoking | 0.806589 |
| maternal smoking | 0.524428 |
| behavioral outcomes | 0.201865 |
| common neurobehavioral disorders | 0.449001 |
| anxiety disorders | 0.358351 |
| disruptive behavioral disorders | 0.373223 |
| Surgeon General | 0.586828 |
| behavioral disorders | 0.504404 |
| research studies | 0.346766 |
| neurobehavioral disorders | 0.83559 |
|
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| 13469 |
Centers for Disease Control and Prevention |
Html |
en |
Alcohol-Impaired Driving Among Adults - United States,2012 |
Amy Jewett, MPH1; Ruth A. Shults, PhD1; Tanima Banerjee, MS2; Gwen Bergen, PhD1. |
| sobriety checkpoints | 0.363529 |
| binge drinking | 0.43727 |
| g/dL BAC laws | 0.369971 |
| higher alcohol-impaired driving | 0.429914 |
| alcohol-impaired driving episodes | 0.763102 |
| health risk data | 0.337774 |
| secondary law states | 0.341901 |
| BRFSS survey | 0.367432 |
| alcohol-impaired driving crashes | 0.494175 |
| annual episodes | 0.343988 |
| alcohol-impaired driving question | 0.431955 |
| alcohol-impaired drivers | 0.462402 |
| Midwest U.S. Census | 0.371445 |
| alcohol-impaired driving | 0.912086 |
| state seat belt | 0.355185 |
| seat belt laws | 0.380157 |
| BRFSS survey respondents | 0.341943 |
| alcohol-impaired driving episode | 0.434789 |
| U.S. Census region | 0.457375 |
| alcohol-impaired driving rates | 0.525132 |
| binge drinking episodes | 0.370941 |
| persons | 0.34514 |
| secondary seat belt | 0.376941 |
| U.S. adult population | 0.337847 |
| Behavioral Risk Factor | 0.339026 |
|
| national rate | 0.338774 |
| United States | 0.358049 |
| primary seat belt | 0.407234 |
| Ruth A. Shults | 0.341384 |
| ignition interlocks | 0.340462 |
| alcoholic beverages | 0.356547 |
| states | 0.397693 |
| blood alcohol concentration | 0.339935 |
| consistent seat belt | 0.349879 |
| random-digit–dialed telephone survey | 0.33893 |
| adult population | 0.352871 |
| crash fatalities | 0.343178 |
| alcohol-impaired driving rate | 0.4664 |
| young men | 0.360677 |
| respective weighted population | 0.338189 |
| Amy Jewett | 0.341008 |
| alcohol ignition interlocks | 0.337823 |
| seat belt | 0.594218 |
| self-reported alcohol-impaired driving | 0.428387 |
| Alcohol-impaired driving prevalence | 0.441709 |
| reported episodes | 0.370296 |
| annual number | 0.337956 |
| enforcement seat belt | 0.354584 |
| annual alcohol-impaired driving | 0.522329 |
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| 14404 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| rabies virus variant | 0.521926 |
| canine rabies | 0.506555 |
| IBCM program | 0.483751 |
| Ethiopian Public Health | 0.419795 |
| health centers | 0.400939 |
| animal health facilities | 0.467197 |
| rabies risk assessments | 0.500731 |
| regional quarantine facilities | 0.354892 |
| rabies laboratory | 0.413512 |
| Zoonotic Infectious Diseases | 0.447672 |
| additional public health | 0.423724 |
| animal health workers | 0.878516 |
| national animal rabies | 0.528034 |
| low dog-bite reporting | 0.360259 |
| dog bites | 0.361627 |
| Emerging Zoonotic Infectious | 0.44179 |
| human rabies deaths | 0.534489 |
| additional animal health | 0.449472 |
| health posts | 0.357266 |
| human health sectors | 0.440241 |
| Human health care | 0.471188 |
| community rabies exposures | 0.500318 |
| rabies vaccines | 0.423006 |
| Rabies diagnostic testing | 0.490507 |
|
| animal health agencies | 0.446369 |
| traditional healers | 0.354677 |
| regional animal disease | 0.395595 |
| cold-chain capacity | 0.435103 |
| Annual rabies-associated livestock | 0.36079 |
| animal rabies assessments | 0.540665 |
| animal health providers | 0.474268 |
| canine rabies vaccine | 0.477407 |
| Health’s Tool | 0.353723 |
| bite detection rates | 0.358588 |
| quarantine facilities | 0.356241 |
| decrease unnecessary PEP | 0.423327 |
| suspected rabid animals | 0.387739 |
| Amhara Region | 0.460654 |
| program supervisors | 0.376163 |
| animal disease surveillance | 0.401321 |
| Ohio State University | 0.351735 |
| rabies | 0.605558 |
| integrated bite-case management | 0.354292 |
| rabid dogs | 0.457968 |
| zoonotic diseases | 0.371605 |
| animal health | 0.910509 |
| IBCM pilot program | 0.499054 |
| veterinary services | 0.346872 |
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