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Centers for Disease Control and Prevention |
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Transmission of Influenza Viruses from Animals to People |
While it is unusual for people to get influenza infections directly from animals, sporadic human infections and outbreaks caused by certain avian influenza A viruses have been reported - CDC |
| different hemagglutinin subtypes | 0.364667 |
| Asian domestic ducks | 0.346038 |
| avian influenza | 0.949036 |
| habitats | 0.229272 |
| certain avian influenza | 0.587499 |
| Experts | 0.228609 |
| avian influenza viruses | 0.776475 |
| runny nose | 0.278149 |
| birds | 0.435934 |
| domestic poultry | 0.429949 |
| Aquatic birds | 0.280857 |
| neuraminidase subtypes | 0.367981 |
| example | 0.247881 |
| wild birds | 0.40981 |
| sporadic human infections | 0.32379 |
| different species | 0.394152 |
| pathogenic avian influenza | 0.487916 |
| multiple reassortment events | 0.429819 |
| pathogenicity avian influenza | 0.489329 |
| live bird/poultry markets | 0.457262 |
| clinical signs | 0.275208 |
| creation | 0.228566 |
| domestic ducks | 0.431832 |
| Asian lineage | 0.26793 |
|
| genes | 0.284955 |
| gene | 0.248949 |
| molecular characteristics | 0.27686 |
| laboratory setting | 0.276583 |
| pigs exhibit signs | 0.333342 |
| H5 | 0.218242 |
| food | 0.228982 |
| H7 viruses | 0.37516 |
| chickens | 0.235765 |
| diagram | 0.226374 |
| influenza infections | 0.372781 |
| H7N9 virus | 0.623267 |
| new virus | 0.312033 |
| different animals | 0.281509 |
| mild infection | 0.274763 |
| terns | 0.217923 |
| influenza viruses | 0.946101 |
| different neuraminidase subtypes | 0.364523 |
| severe disease | 0.273354 |
| Asian H7N9 virus | 0.359722 |
| influenza a viruses | 0.89689 |
| humans | 0.253234 |
| domestic birds | 0.318265 |
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Centers for Disease Control and Prevention |
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Trimethyl phosphite - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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Centers for Disease Control and Prevention |
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Newborn Screening for Critical Congenital Heart Disease: Potential Roles of Birth Defects Surveillance Programs - UnitedStates, 2010-2011 |
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. |
| newborn screening programs | 0.326553 |
| false-negative screening results | 0.203864 |
| birth defect surveillance | 0.260753 |
| defect surveillance programs | 0.263741 |
| National Birth Defects | 0.275419 |
| defects surveillance program | 0.222013 |
| newborn screening activities | 0.298943 |
| state newborn screening | 0.298961 |
| birth defects surveillance | 0.924746 |
| universal newborn screening | 0.321511 |
| congenital heart disease | 0.218963 |
| support newborn screening | 0.241106 |
| CCHD screening | 0.322899 |
| Defects Prevention Network | 0.265337 |
| state birth defect | 0.241683 |
|
| CCHD screening activities | 0.241155 |
| state birth defects | 0.414078 |
| newborn screening program | 0.264382 |
| successful screening program | 0.239597 |
| defects surveillance case | 0.241691 |
| state-specific screening panels | 0.219762 |
| Birth Defects Prevention | 0.27714 |
| false-positive screening results | 0.204084 |
| CCHD newborn screening | 0.276929 |
| Michigan Birth Defects | 0.201334 |
| point-of-care screening records | 0.213921 |
| state surveillance programs | 0.209622 |
| newborn screening | 0.617506 |
| defects surveillance programs | 0.753675 |
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Centers for Disease Control and Prevention |
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Cigarette Smoking in the United States - Data and Statistics on Smoking - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Data and statistics on cigarette smoking among adults in the United States. Part of the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| Mortality Weekly Report | 0.549855 |
| Human Services | 0.357471 |
| highest prevalence | 0.283722 |
| higher prevalence | 0.303525 |
| non-Hispanic Asian adults | 0.320441 |
| J. Cigarette Smoking | 0.386198 |
| U.S. Department | 0.372036 |
| Health Promotion | 0.272818 |
| Disease Control | 0.470534 |
| current cigarette smoking | 0.787046 |
| health condition smoke | 0.275823 |
| racial/ethnic groups | 0.263423 |
| mental health condition | 0.424562 |
| current* cigarette smokers | 0.317361 |
| Health Interview Survey | 0.271626 |
| American Journal | 0.307246 |
| Cigarette Smoking–United States | 0.31025 |
| U.S. high school | 0.266277 |
| Asian Americans | 0.301996 |
| Defense Health Related | 0.269674 |
| obstructive pulmonary disease | 0.264118 |
| smoking prevalence | 0.797792 |
| current cigarette smokers.18 | 0.313919 |
| United States | 0.585388 |
| current smoking prevalence | 0.481202 |
|
| adults | 0.338818 |
| cigarette smoking | 0.967505 |
| Defense Health Cost | 0.269747 |
| Mental Illness—United States | 0.270263 |
| lowest current cigarette | 0.321907 |
| Adults—United States | 0.264725 |
| United States Coast | 0.272245 |
| National Survey | 0.262444 |
| cigarette smoking rates | 0.410732 |
| School Students—United States | 0.265324 |
| comprehensive representation | 0.263121 |
| American Indians/Alaska Natives | 0.408381 |
| Jun | 0.325722 |
| population.12,13 Cigarette smoking | 0.404494 |
| Community Health Study/Study | 0.271634 |
| United States.3 Factors | 0.270822 |
| cigarette smoking prevalence | 0.797781 |
| *Current cigarette smoking | 0.42831 |
| high school students | 0.299851 |
| direct medical care | 0.262532 |
| Chronic Disease Prevention | 0.309552 |
| Preventive Medicine | 0.283706 |
| U.S. Hispanic/Latino Adults | 0.272349 |
| mental health conditions | 0.366955 |
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Centers for Disease Control and Prevention |
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La historia de Wilma - Historias de la vida real - Consejos de exfumadores |
La historia de Wilma, una exfumadora que dejó de fumar con éxito, es parte de la campaña Consejos de exfumadores de los CDC. |
| Archivo Apple Quicktime | 0.68062 |
| Archivo RealPlayer | 0.570944 |
| Archivo Zip Comprimido | 0.673228 |
| Archivo Microsoft PowerPoint | 0.710901 |
|
| Archivo Microsoft Excel | 0.673553 |
| Archivo Adobe PDF | 0.670017 |
| Archivo Microsoft | 0.926676 |
|
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Centers for Disease Control and Prevention |
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La historia de Beatrice - Historias de la vida real - Consejos de exfumadores |
La historia de Beatrice, una exfumadora que dejó de fumar con éxito, es parte de la campaña Consejos de exfumadores de los CDC. |
| Archivo Apple Quicktime | 0.671698 |
| Archivo RealPlayer | 0.546629 |
| Archivo Zip Comprimido | 0.663953 |
| Nueva York | 0.535407 |
|
| Archivo Microsoft PowerPoint | 0.686243 |
| Archivo Adobe PDF | 0.655634 |
| Archivo Microsoft Excel | 0.651653 |
| Archivo Microsoft | 0.968854 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | The Relationship Between State Policies for Competitive Foods and School Nutrition Practices in the United States - CDC |
Most students in grades kindergarten through 12 have access to foods and beverages during the school day outside the federal school meal programs, which are called competitive foods. At the time of this study, competitive foods were subject to minimal federal nutrition standards, but states could implement additional standards. Our analysis examined the association between school nutrition practices and alignment of state policies with Institute of Medicine recommendations (IOM Standards). |
| school health profiles | 0.509092 |
| state policy IOM | 0.441084 |
| Healthier Youth | 0.395611 |
| school campuses | 0.393588 |
| overall IOM alignment | 0.735585 |
| Disease Control | 0.44645 |
| public secondary schools | 0.398578 |
| school | 0.724569 |
| school practices | 0.419235 |
| beverages | 0.533419 |
| energy-dense competitive foods | 0.391984 |
| nutrition standards | 0.568754 |
| competitive foods policies | 0.407651 |
| school health policies | 0.452472 |
| school campus | 0.39559 |
| schools | 0.685433 |
| specific nutrition standards | 0.386647 |
| IOM alignment quartiles | 0.542488 |
| IOM alignment quartile | 0.527874 |
| federal nutrition standards | 0.387223 |
| IOM Standards | 0.819544 |
| individual IOM Standard | 0.44415 |
| competitive foods | 0.924325 |
| access | 0.390462 |
| nonfried vegetables | 0.401036 |
|
| students | 0.399458 |
| IOM quartiles | 0.390714 |
| states | 0.524194 |
| school nutrition practices | 0.506054 |
| elementary school policies | 0.401516 |
| school lunch program | 0.439283 |
| IOM Standard variables | 0.40226 |
| federal school meal | 0.408016 |
| sugar-sweetened beverages | 0.397985 |
| median percentage | 0.489818 |
| school breakfast program | 0.439323 |
| CFR Section | 0.395185 |
| school nutrition policy | 0.385756 |
| state policy alignment | 0.497036 |
| national school lunch | 0.47854 |
| state policies | 0.585683 |
| State Policy Analysis | 0.413531 |
| state policy | 0.528115 |
| school meal programs | 0.516936 |
| new USDA standards | 0.438649 |
| healthful competitive foods | 0.399817 |
| expected direction | 0.517212 |
| healthful foods | 0.40151 |
| healthy nutrition practices | 0.425475 |
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Meningitis | Lab Manual | Introduction | CDC |
Introduction to Laboratory Methods for the Diagnosis of Meningitis. |
| epidemic meningitis | 0.643499 |
| specific disease agent | 0.618392 |
| Molecular Typing Methods | 0.613909 |
| Quality Control/Quality Assurance | 0.61154 |
| available laboratory techniques | 0.636407 |
| meningitis pathogens N. | 0.69611 |
| Surveillance Network | 0.5882 |
| crucial role | 0.648453 |
| S. pneumoniae | 0.645908 |
| H. influenzae type | 0.65004 |
| public health surveillance | 0.666204 |
| equipped diagnostic laboratory | 0.642609 |
| Meningitis Caused | 0.656262 |
| laboratory procedures | 0.583925 |
| Laboratory networks | 0.576763 |
| World Health Organization | 0.631189 |
| surveillance data | 0.604545 |
| clinical syndromic surveillance | 0.641027 |
| Antimicrobial Susceptibility Testing | 0.627189 |
| exhibit similar symptoms | 0.611729 |
| Neisseria meningitidis | 0.605481 |
| Streptococcus pneumoniae | 0.59212 |
| worldwide access | 0.56439 |
| Laboratory Methods Manual | 0.635006 |
|
| Printer friendly version | 0.635846 |
| cerebrospinal fluid | 0.568538 |
| H. influenzae | 0.727506 |
| global health problem | 0.645455 |
| strong laboratory component | 0.625872 |
| basic procedures | 0.567453 |
| Integrated Disease Surveillance | 0.644599 |
| N. meningitidis | 0.599165 |
| sub-Saharan Africa | 0.564843 |
| meningococcal conjugate vaccine | 0.632124 |
| bacterial meningitis | 0.969791 |
| Bacterial Vaccine Preventable | 0.655133 |
| bacterial meningitis pathogens | 0.835587 |
| antimicrobial susceptibility | 0.645486 |
| Haemophilus influenzae. | 0.573406 |
| laboratory capabilities | 0.583523 |
| appropriate treatment | 0.568014 |
| devastating disease | 0.58283 |
| reproducible results | 0.569595 |
| important changes | 0.565225 |
| causative organism | 0.64613 |
| meningitis syndrome | 0.640926 |
| laboratory data | 0.591894 |
| newer vaccines | 0.571797 |
|
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Video |
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Influenza Round Table: Antiviral Drugs |
Many people believe that there is no treatment for a virus and that you have to let it run its course. But when it comes to influenza, there are prescription drugs that can be used for treatment. They can make our symptoms milder and make us feel better faster. These drugs are an important tool against flu especially for people at higher risk of severe illness from the flu.
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/cdctv/ |
| Influenza Round Table | 0.84595 |
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Centers for Disease Control and Prevention |
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Make your Kid's Lunch Healthy | CDC Features |
Just as your family is settling into summer mode, for many, August also marks back-to-school time. That means back to packing school lunches. Between teacher “meet and greets,” school supply shopping, and getting back on a routine sleep schedule, lunchbox packing tends to be last on the list. But, what your child eats for lunch matters more than you might realize. |
| low sodium diet | 0.724105 |
| school lunchboxes | 0.479039 |
| lower-sodium options | 0.471252 |
| lower sodium food | 0.711118 |
| healthy lunchbox. | 0.490746 |
| pack fresh fruits | 0.517096 |
| family nutrition experts | 0.50838 |
| grilled chicken | 0.466536 |
| lunchbox packing | 0.503497 |
| blood pressure | 0.520125 |
| back-to-school time | 0.490285 |
| low sodium | 0.754618 |
| school meals | 0.489344 |
| high sodium | 0.658914 |
| key nutrients | 0.473912 |
| dinner leftovers | 0.471753 |
| sodium | 0.989904 |
| fresh fruits | 0.526008 |
| routine sleep schedule | 0.523924 |
| children’s diets | 0.47283 |
| child | 0.556491 |
| heart health | 0.521108 |
| sodium intake | 0.638415 |
| School meal participants | 0.554438 |
| low sodium eating | 0.687382 |
|
| Signs report | 0.468442 |
| lower-sodium cold cuts | 0.519858 |
| children’s school | 0.482634 |
| meal times | 0.478372 |
| summer mode | 0.472697 |
| U.S. school-aged children | 0.537369 |
| heart disease | 0.468183 |
| lower sodium options | 0.839513 |
| sodium school lunch | 0.749004 |
| gradually reducing sodium | 0.758641 |
| lower-sodium back-to-school lunches | 0.525689 |
| school activities | 0.474428 |
| lunch matters | 0.521531 |
| lower their family | 0.47919 |
| recent CDC Vital | 0.528648 |
| lower sodium | 0.936983 |
| food options | 0.516983 |
| healthy snack | 0.481219 |
| CDC Salt website | 0.510869 |
| school meal programs | 0.559214 |
| low-sodium leftovers | 0.468617 |
| better intake | 0.475742 |
| lunch-time sandwiches | 0.469309 |
| school supply shopping | 0.544447 |
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