| 7557 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Vaccination Coverage Among Health-Care Personnel -2011-12 Influenza Season, United States |
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. |
| HCP work settings | 0.266487 |
| long-term care facilities | 0.205662 |
| influenza vaccination coverage | 0.573329 |
| overall influenza vaccination | 0.244378 |
| HCP vaccination coverage | 0.696386 |
| self-reported HCP vaccination | 0.373611 |
| HCP groups | 0.270766 |
| influenza vaccination measure | 0.246083 |
| influenza vaccination | 0.929286 |
| comprehensive HCP influenza | 0.36534 |
| vaccination coverage | 0.81577 |
|
| self-reported influenza vaccination | 0.274771 |
| HCP influenza vaccination | 0.894265 |
| Internet panel survey | 0.29971 |
| influenza vaccination levels | 0.293226 |
| volunteer HCP | 0.232658 |
| overall HCP vaccination | 0.499934 |
| annual influenza vaccination | 0.243249 |
| Internet panel | 0.436135 |
| Internet panel surveys | 0.313275 |
| vaccination coverage levels | 0.21063 |
| HCP occupation | 0.22515 |
|
CLICK HERE |
| 8727 |
Centers for Disease Control and Prevention |
Html |
en |
Suicide Among Adults Aged 35-64 Years - United States,1999-2010 |
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. |
| suicide risk | 0.441033 |
| mental health | 0.377612 |
| high suicide rates | 0.460823 |
| suicide research | 0.416529 |
| suicide rates | 0.958329 |
| highest suicide rates | 0.455944 |
| annual age-adjusted suicide | 0.479452 |
| low suicide rates | 0.462964 |
| greatest increases | 0.402389 |
| common mechanisms | 0.386028 |
| American Indian/Alaska Natives | 0.456198 |
| common suicide mechanisms | 0.452275 |
| potential suicide prevention | 0.44499 |
| suffocation | 0.394919 |
| observed suicide rates | 0.478777 |
| suicide prevention strategies | 0.529225 |
| racial/ethnic populations | 0.378363 |
| overall suicide rate | 0.44128 |
| persons | 0.39472 |
| age-adjusted rates | 0.370922 |
| annual suicide rates | 0.52912 |
| Mid-life suicide | 0.412025 |
| suicide prevention | 0.56712 |
| elevated suicide rates | 0.457541 |
| group–specific annual suicide | 0.450431 |
|
| state suicide rates | 0.454726 |
| suicide circumstances | 0.414142 |
| age-adjusted suicide | 0.635333 |
| United States | 0.517016 |
| age group | 0.402159 |
| age-adjusted suicide rate | 0.543626 |
| West Virginia | 0.370806 |
| mutually exclusive categories | 0.420644 |
| Joseph L. Annest | 0.387753 |
| middle-aged adults | 0.511607 |
| National Cancer Institute | 0.392142 |
| public health | 0.38151 |
| New York | 0.373212 |
| Rhode Island | 0.371876 |
| u.s. census region | 0.39728 |
| age-adjusted annual suicide | 0.489675 |
| suicide preventive measures | 0.452596 |
| suicide prevention efforts | 0.490925 |
| poisoning suicide rates | 0.466872 |
| New Jersey | 0.373225 |
| age-adjusted suicide rates | 0.634377 |
| suicide risk factors | 0.438059 |
| New Hampshire | 0.373241 |
| older adults | 0.378141 |
|
CLICK HERE |
| 9762 |
Centers for Disease Control and Prevention |
Html |
en |
National Epilepsy Month - November 2013 |
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. |
| epilepsy | 0.918197 |
| mmwrq@cdc.gov. | 0.457947 |
| MEW Network programs | 0.658292 |
| Miller JW | 0.438051 |
| United States | 0.445304 |
| U.S. Government Printing | 0.546742 |
| original MMWR paper | 0.538557 |
| brain disorder | 0.445785 |
| Managing Epilepsy | 0.673387 |
| adults | 0.368164 |
| Human Services | 0.552577 |
| assistive technology | 0.458797 |
| research study | 0.436336 |
| health-care providers | 0.592831 |
| U.S. Department | 0.549447 |
| MMWR HTML versions | 0.542738 |
| MMWR readers | 0.438616 |
| character translation | 0.425276 |
| Epilepsy Foundation | 0.680024 |
| Escoffery C. Results | 0.566172 |
| National Epilepsy Awareness | 0.810121 |
| electronic PDF version | 0.53022 |
| recurrent seizures | 0.452325 |
| Long-term outcomes | 0.43647 |
|
| epilepsy self-management program | 0.825935 |
| format errors | 0.426609 |
| epilepsy groups | 0.679603 |
| related resources | 0.437171 |
| CDC Prevention Research | 0.591261 |
| telephone-based program | 0.460209 |
| subject line | 0.455122 |
| Additional information | 0.438152 |
| Contact GPO | 0.456845 |
| typeset documents | 0.433086 |
| trade names | 0.431157 |
| commercial sources | 0.431065 |
| U.S. universities | 0.448031 |
| official text | 0.423877 |
| current prices | 0.42859 |
| non-CDC sites | 0.430569 |
| depression treatment program | 0.574182 |
| original paper copy | 0.537238 |
| et al | 0.4283 |
| Walker ER | 0.431187 |
| Epilepsy Behav | 0.781481 |
| MEW Network | 0.74528 |
| electronic conversions | 0.423264 |
|
CLICK HERE |
| 9831 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Racial Differences in Ideal Cardiovascular Health Metrics Among Mississippi Adults, 2009 Mississippi Behavioral Risk Factor Surveillance System - CDC |
Cardiovascular disease is a leading cause of death and health disparities in Mississippi. Identifying populations with poor cardiovascular health may help direct interventions toward those populations disproportionately affected, which may ultimately increase cardiovascular health and decrease prominent disparities. |
| health care provider | 0.319184 |
| blacks | 0.360306 |
| health risk behaviors | 0.297305 |
| high blood cholesterol | 0.431375 |
| whites | 0.331679 |
| health disparities | 0.384794 |
| Rev Public Health | 0.298979 |
| current smoking | 0.346479 |
| health care professionals | 0.309783 |
| racial groups | 0.291606 |
| risk factors | 0.349941 |
| body mass index | 0.322271 |
| racial differences | 0.335105 |
| Mississippi adults | 0.300904 |
| mean cardiovascular metrics | 0.300671 |
| large health disparities | 0.291926 |
| CV health characteristics | 0.309346 |
| ideal metrics score | 0.400159 |
| Mississippi | 0.305605 |
| white women | 0.293595 |
| Mississippi State Department | 0.291402 |
| black women | 0.307785 |
| ideal health behaviors | 0.30115 |
| poor CV health | 0.49589 |
|
| public health policy | 0.292365 |
| ideal CV health | 0.578856 |
| poor cardiovascular health | 0.332503 |
| mean ideal metrics | 0.300895 |
| mean ideal CV | 0.309206 |
| ideal CV metrics | 0.337226 |
| major public health | 0.298832 |
| prevalence estimates | 0.29704 |
| CVD-related health disparities | 0.292555 |
| heart disease | 0.31188 |
| non-Hispanic blacks | 0.325776 |
| racial health disparities | 0.315733 |
| cardiovascular health metrics | 0.46563 |
| non-Hispanic whites | 0.314524 |
| public health | 0.384 |
| prominent health disparities | 0.304595 |
| CV health metrics | 0.90476 |
| CV health components | 0.31724 |
| mean CV health | 0.33021 |
| ideal levels | 0.304306 |
| health care coverage | 0.575449 |
| physical activity | 0.454984 |
| logistic regression models | 0.363372 |
| CVD health metrics | 0.339985 |
|
CLICK HERE |
| 10024 |
Centers for Disease Control and Prevention |
Html |
en |
eCards Guidelines & Best Practices |
Basic information from CDC about breast cancer. |
| CDC Web site | 0.704749 |
| CDC’s National | 0.5471 |
| clearance channels | 0.550751 |
| content-specific GovDelivery email | 0.53091 |
| HHS content standards | 0.566007 |
| Disease Control | 0.560959 |
| social media tools | 0.842689 |
| eCard Web page | 0.749845 |
| standard Arial font | 0.559499 |
| communications science clearance | 0.564892 |
| additional information | 0.556446 |
| Clear eCard files | 0.704069 |
| Certain design aspects | 0.538323 |
| CDC content pages | 0.618427 |
| Social media activities | 0.538962 |
| federally recognized holidays | 0.538668 |
| point Arial | 0.558779 |
| CDC Health-e-Card Checklist | 0.579795 |
| CDC.gov home page | 0.572854 |
| short text description | 0.547568 |
| electronic greeting cards | 0.570193 |
| intended message | 0.545935 |
| Greeting Card Association | 0.577238 |
| high-profile topic-specific pages | 0.530646 |
| eCard audio | 0.681504 |
|
| eCard cover | 0.639368 |
| eCard animation | 0.675816 |
| eCard | 0.957246 |
| point Arial font | 0.554252 |
| stock photography images | 0.532383 |
| contact socialmedia | 0.598772 |
| Digital Media Branch | 0.819138 |
| eCards | 0.831048 |
| evergreen eCards | 0.572235 |
| eCard template | 0.716855 |
| Health Communication Science | 0.575531 |
| standard buttons | 0.551157 |
| font type | 0.542782 |
| health communications program | 0.570188 |
| CDC Brand Identity | 0.581616 |
| CDC.gov Web site | 0.558675 |
| public health professionals | 0.555889 |
| National Influenza Vaccination | 0.540219 |
| eCard metrics | 0.638896 |
| appropriate CDC.gov content | 0.552745 |
| character limit | 0.544632 |
| best Web page | 0.568053 |
| eCard project | 0.679038 |
| partner Web site | 0.541071 |
|
CLICK HERE |
| 11306 |
Centers for Disease Control and Prevention |
Html |
en |
Lead - Tips - Sources of Lead - Candy |
The Childhood Lead Poisoning Prevention Program is committed to the Healthy People goal of eliminating elevated blood lead levels in children by 2020. CDC continues to assist state and local childhood lead poisoning prevention programs, to provide a scientific basis for policy decisions, and to ensure that health issues are addressed in decisions about housing and the environment. |
| advisories | 0.327759 |
| FDA | 0.397266 |
| candy | 0.976139 |
| health care provider | 0.715254 |
| adults | 0.324308 |
| Drug Administration | 0.466381 |
| source | 0.327111 |
| availability | 0.326514 |
| lead levels increase | 0.555919 |
| imported candy | 0.729699 |
| pregnant women | 0.44048 |
| children | 0.375606 |
| elevated blood lead | 0.568441 |
| care providers | 0.433006 |
| U.S. Food | 0.466537 |
| Lead poisoning | 0.461083 |
| potential | 0.329511 |
| processes | 0.327731 |
| manufacturers | 0.329154 |
| distributors | 0.329108 |
| warnings | 0.330992 |
|
| blood test | 0.520699 |
| People | 0.326325 |
| lead-contaminated candy | 0.67762 |
| paper wrappers | 0.46116 |
| tighter guidelines | 0.481936 |
| consumer candies | 0.524101 |
| symptoms | 0.324211 |
| safe blood lead | 0.573053 |
| plastic | 0.326297 |
| importers | 0.326929 |
| small amounts | 0.454318 |
| laboratory | 0.324979 |
| chili powder | 0.456339 |
| treatment options | 0.438824 |
| Mexico | 0.388138 |
| information | 0.324093 |
| lead exposure | 0.469353 |
| Certain candy ingredients | 0.780287 |
| blood lead levels | 0.692595 |
| child | 0.34417 |
| tamarind | 0.336912 |
|
CLICK HERE |
| 11756 |
Centers for Disease Control and Prevention |
Html |
en |
Norovirus | Clinical Overview | CDC |
Clinical information about norovirus including symptoms, immunity, and transmission |
| different ways | 0.421049 |
| stool | 0.253763 |
| original Norwalk strain | 0.673082 |
| body aches | 0.471747 |
| objects | 0.29151 |
| norovirus infection | 0.800515 |
| viral particles | 0.441586 |
| sapoviruses | 0.250081 |
| direct contact | 0.428212 |
| school | 0.248725 |
| immune systems | 0.450326 |
| long-term problems | 0.455873 |
| young children | 0.700181 |
| Nearly two-thirds | 0.755184 |
| symptoms | 0.471326 |
| different types | 0.423968 |
| common complication | 0.452081 |
| low-grade fever | 0.471465 |
| GIV | 0.249582 |
| person | 0.551207 |
| family Caliciviridae | 0.468105 |
| nursing homes | 0.7137 |
| different genotypes | 0.46769 |
| norovirus outbreaks | 0.984767 |
| household members | 0.424061 |
|
| death | 0.247184 |
| Typical symptoms— | 0.468189 |
| video | 0.346583 |
| immunity | 0.309097 |
| vomit | 0.251028 |
| single-stranded RNA viruses | 0.726294 |
| vulnerable patients | 0.745218 |
| surfaces | 0.342757 |
| norovirus particles | 0.454212 |
| Norwalk-like viruses | 0.50772 |
| acute gastroenteritis | 0.835674 |
| headaches | 0.249991 |
| norovirus genogroups | 0.481707 |
| billions | 0.251848 |
| GII.4 genotype | 0.475473 |
| common cause | 0.437284 |
| hospitalization | 0.252409 |
| people | 0.649 |
| medical care | 0.455019 |
| noroviruses | 0.850918 |
| infected person | 0.516622 |
| specific types | 0.442023 |
| older adults | 0.697345 |
| severe dehydration | 0.463339 |
|
CLICK HERE |
| 12010 |
Centers for Disease Control and Prevention |
Html |
en |
Transmisión | Enfermedad del Ébola |
null |
| hospital staff | 0.298211 |
| virus transmission | 0.328825 |
| large numbers | 0.31566 |
| wild animals | 0.305788 |
| Ebola virus | 0.853916 |
| instruments | 0.251611 |
| direct contact | 0.3145 |
| Ebola transmission | 0.601247 |
| contact | 0.373365 |
| affected people | 0.309459 |
| multiple spillover events | 0.421325 |
| mosquitoes | 0.22114 |
| natural reservoir host | 0.415333 |
| personal protective equipment | 0.378651 |
| primates | 0.242926 |
| bushmeat | 0.226523 |
| public health partners | 0.375357 |
| body fluids | 0.303866 |
| patient care | 0.297225 |
| past Ebola outbreaks | 0.753565 |
| monkeys | 0.246464 |
| highest risk | 0.300973 |
| scientists | 0.220299 |
| syringes | 0.221211 |
|
| Ebola patients | 0.668656 |
| Ebola | 0.964083 |
| Person-to-person transmission | 0.322386 |
| infected bats | 0.354324 |
| semen | 0.325181 |
| healthcare personnel | 0.298782 |
| Ebola viruses | 0.694522 |
| mucous membranes | 0.315934 |
| adequate sterilization | 0.301223 |
| close contact | 0.306021 |
| Proper cleaning | 0.297747 |
| man | 0.231025 |
| infected blood | 0.34753 |
| medical equipment | 0.297555 |
| sex | 0.234632 |
| fruit bat | 0.315366 |
| food | 0.238117 |
| way | 0.22047 |
| infected animal | 0.368116 |
| healthcare settings | 0.371387 |
| Healthcare providers | 0.302036 |
| time | 0.230414 |
| male Ebola survivors | 0.675366 |
| vaginal fluids | 0.299471 |
|
CLICK HERE |
| 12511 |
Centers for Disease Control and Prevention |
Video |
en |
Julie Riggs | Raw Milk Video |
Julie Riggs and her family live in a small town in Missouri. Her husband and daughter couldn’t tolerate cow’s milk, so the family decided to try raw goat’s milk from a local farmer. In this video, Julie describes what happened to her daughter and husband.
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=lb6f8f8abfc1564dd4fbda800ce32efaa20110106131712765 |
|
|
CLICK HERE |
| 15876 |
Centers for Disease Control and Prevention |
Html |
es |
Datos sobre el síndrome de Down |
null |
| Archivo Apple Quicktime | 0.489505 |
| Archivo Adobe PDF | 0.487735 |
| Archivo Microsoft | 0.640484 |
| with mosaic down | 0.733055 |
| Archivo Microsoft Word | 0.495996 |
| Archivo Texto | 0.452838 |
| Dey SK | 0.453821 |
| Druschel C | 0.449952 |
| suficiente oxÃgeno | 0.456383 |
| Archivo Microsoft Excel | 0.489113 |
| Med Genet A | 0.683435 |
| report from | 0.451195 |
| pequeños pedazos | 0.454914 |
| altered meiotic recombination | 0.497893 |
| pequeño porcentaje | 0.460095 |
|
| Archivo RealPlayer | 0.456687 |
| raras ocasiones | 0.454483 |
| Down Syndrome Projects | 0.741438 |
| Freeman SB | 0.453375 |
| Feingold E | 0.452206 |
| Enfermedad tiroidea | 0.455419 |
| Archivo Microsoft PowerPoint | 0.496906 |
| down syndrome | 0.912508 |
| menor edad.3-5 | 0.457856 |
| Ghosh S | 0.450373 |
| Archivo Zip Comprimido | 0.489356 |
| suficiente hierro | 0.457376 |
| Defectos Congénitos | 0.456335 |
| Hum Genet | 0.469886 |
|
CLICK HERE |