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Centers for Disease Control and Prevention |
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Rubella and Congenital Rubella Syndrome Control andElimination - Global Progress, 2000-2012 |
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. |
| wide-age-range RCV campaign | 0.426099 |
| Rubella virus infection | 0.438047 |
| rubella antigen | 0.430229 |
| rubella control | 0.510797 |
| Western Pacific Region | 0.378077 |
| RCV dose | 0.488154 |
| rubella virus | 0.526673 |
| CRS cases | 0.428145 |
| rubella infection benefits | 0.441643 |
| routine immunization | 0.392842 |
| rubella | 0.737996 |
| rubella control programs | 0.456506 |
| rubella infection | 0.448553 |
| World Health Organization | 0.507361 |
| GAVI Alliance support | 0.377213 |
| rubella incidence | 0.448818 |
| national routine immunization | 0.392392 |
| Rubella Strategic Plan | 0.471661 |
| South-East Asia Region | 0.376405 |
| Rubella Initiative partners | 0.498227 |
| Measles Rubella Initiative | 0.534142 |
| rubella elimination | 0.501546 |
| rubella virus transmission | 0.480888 |
| congenital rubella syndrome | 0.54872 |
|
| CRS surveillance data | 0.380712 |
| CRS surveillance results | 0.387885 |
| RCV | 0.623073 |
| CRS | 0.502969 |
| rubella control strategies | 0.451586 |
| CRS control activities | 0.422823 |
| rubella elimination goals | 0.483871 |
| CRS prevention activities | 0.380158 |
| endemic rubella | 0.432547 |
| RCV introduction | 0.452507 |
| GAVI Alliance | 0.393693 |
| Eastern Mediterranean Region | 0.376555 |
| Nations member states | 0.379971 |
| rubella cases | 0.581903 |
| national immunization program | 0.384393 |
| Vaccine Action Plan | 0.385423 |
| rubella immunization activities | 0.464871 |
| CRS surveillance systems | 0.381141 |
| Rubella elimination targets | 0.462887 |
| RCV introduction strategy | 0.426689 |
| CRS prevention | 0.381455 |
| World Health Assembly | 0.380684 |
| member states | 0.920301 |
| CRS surveillance | 0.425712 |
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Centers for Disease Control and Prevention |
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FASD - Training and Education |
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. |
| national partners | 0.670567 |
| CDC | 0.659896 |
| child welfare | 0.873879 |
| Implementation Centers | 0.82728 |
| San Diego | 0.538797 |
| FASD-related content | 0.53599 |
| children | 0.738918 |
| FASD Practice | 0.736166 |
| following strategies | 0.536116 |
| school staff | 0.551088 |
| health care professionals | 0.678347 |
| Drug Exposures | 0.661727 |
| life-long birth defects | 0.632921 |
| training professional staff | 0.632566 |
| alcohol | 0.909103 |
| risky alcohol | 0.664874 |
| alcohol-exposed pregnancy | 0.82418 |
| main components | 0.536854 |
| brief intervention | 0.537844 |
| U.S. child welfare | 0.658273 |
| appropriate services | 0.547796 |
| foster families | 0.534283 |
| prevention opportunities | 0.534525 |
| FASD prevention | 0.632788 |
| training opportunities | 0.534675 |
|
| Child Welfare project | 0.847334 |
| educational requirements | 0.536221 |
| healthcare practice | 0.661319 |
| child welfare agencies | 0.657924 |
| constituent groups | 0.534438 |
| systematic efforts | 0.545556 |
| systems level | 0.539962 |
| healthcare professionals | 0.826371 |
| FASDs | 0.723204 |
| affected child | 0.559992 |
| evidence-based practices | 0.53711 |
| FASD training programs | 0.727136 |
| following activities | 0.540892 |
| drugs | 0.603707 |
| better alcohol screening | 0.808172 |
| national medical societies | 0.644863 |
| families | 0.535066 |
| alcohol spectrum disorders | 0.735972 |
| best available evidence | 0.629315 |
| CDC-funded Practice | 0.542569 |
| foster care | 0.624425 |
| ACF research | 0.541587 |
| individual training | 0.541107 |
| community-level FASD resources | 0.710983 |
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Centers for Disease Control and Prevention |
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Boron tribromide - 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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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | A Structured Management Approach to Implementation of Health Promotion Interventions in Head Start - CDC |
Improving the health and health literacy of low-income families is a national public health priority in the United States. The federal Head Start program provides a national infrastructure for implementation of health promotion interventions for young children and their families. |
| health education | 0.414479 |
| health behavior changes | 0.373478 |
| HS leaders | 0.37055 |
| course health development | 0.463769 |
| HS | 0.449344 |
| Anderson School | 0.409042 |
| Health Care Institute | 0.513838 |
| HS staff | 0.419104 |
| HS grantee | 0.370762 |
| HCI health promotion | 0.455514 |
| national public health | 0.383309 |
| health planning model | 0.373859 |
| health promotion materials | 0.400852 |
| entire HS staff | 0.373242 |
| behavior changes | 0.389138 |
| HCI approach | 0.378603 |
| low-income families | 0.374937 |
| health literacy | 0.464086 |
| health promotion interventions | 0.503828 |
| HS grantees | 0.431398 |
| health materials | 0.392613 |
| life course health | 0.464412 |
| community health promotion | 0.377053 |
| health education trainings | 0.389468 |
|
| United States | 0.421914 |
| health promotion | 0.922534 |
| ongoing health promotion | 0.391019 |
| child health risks | 0.374487 |
| health promotion training | 0.527598 |
| health promotion module | 0.380685 |
| disproportionate health challenges | 0.369912 |
| health promotion program | 0.402465 |
| public health | 0.385463 |
| child health status | 0.379046 |
| health promotion programs | 0.426882 |
| staff implement health | 0.397697 |
| Johnson Health Care | 0.442421 |
| Head Start | 0.590868 |
| HS families | 0.3747 |
| child health | 0.406328 |
| health promotion implementation | 0.448181 |
| health promotion practices | 0.419049 |
| health promotion modules | 0.38339 |
| local health education | 0.375059 |
| health promotion planning | 0.43218 |
| health education materials | 0.375349 |
| evidence-based health promotion | 0.416438 |
| Los Angeles | 0.438421 |
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Inspeccionar en busca de riesgos en el hogar|Terremotos |
Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| sujetadores tipo velcro® | 0.750059 |
| Archivo Apple Quicktime | 0.647089 |
| Archivo RealPlayer | 0.510112 |
| importante inversión | 0.540182 |
| Archivo Microsoft PowerPoint | 0.669905 |
| Archivo Adobe PDF | 0.642519 |
| Archivo Microsoft | 0.994001 |
|
| Archivo Microsoft Word | 0.666292 |
| garaje estén | 0.556399 |
| Archivo Zip Comprimido | 0.642962 |
| coloque etiquetas | 0.519037 |
| posibles riesgos | 0.960257 |
| Archivo Microsoft Excel | 0.639113 |
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Centers for Disease Control and Prevention |
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Inside Knowledge Campaign Public Service Announcements |
These public service announcements are available, at no cost, for organizations and individuals to share with local media. |
| endorsement | 0.33796 |
| independently created materials | 0.618755 |
| Knowledge print ads | 0.630499 |
| contractual agreements | 0.475532 |
| gynecologic cancer symptoms | 0.996277 |
| Human Services | 0.470972 |
| questions | 0.362553 |
| Knowledge images | 0.47873 |
| body | 0.430605 |
| experience | 0.364689 |
| federal policy | 0.473718 |
| gynecologic cancers | 0.639766 |
| symptoms diaries | 0.47983 |
| Knowledge fact sheets | 0.630739 |
| Pap test | 0.523301 |
| PSAs focus | 0.655489 |
| ovarian cancer | 0.532995 |
| campaign logo | 0.476622 |
| Ms. | 0.333802 |
| public service announcements | 0.962735 |
| versions | 0.366983 |
| Jenny Allen | 0.684985 |
| performer Jenny Allen | 0.651196 |
| uterine | 0.363617 |
| Jennie M. | 0.495413 |
|
| white files | 0.486033 |
| women | 0.400972 |
| Knowledge campaign | 0.489955 |
| non-CDC entities | 0.470004 |
| CDC campaign | 0.527487 |
| importance | 0.361799 |
| Actress Cote | 0.747548 |
| ovarian cancers | 0.722027 |
| video files | 0.494702 |
| contact CDC-INFO | 0.65733 |
| Writer/performer Jenny Allen | 0.651512 |
| CDC’s Web | 0.524646 |
| director Patricia Riggen | 0.689347 |
| cervical cancer scare | 0.678626 |
| behind-the-scenes videos | 0.512899 |
| local media | 0.50003 |
| Cote de Pablo | 0.599808 |
| way | 0.354317 |
| third-party organizations | 0.475634 |
| campaign resources | 0.481276 |
| print disks | 0.47444 |
| attention | 0.365396 |
| information | 0.395848 |
| Usage Guidelines | 0.498538 |
|
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| 12635 |
Centers for Disease Control and Prevention |
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Director's Briefing: Advanced-Molecular Detection |
As the nation's health protection agency, CDC is on the lookout 24/7 for health threats from new or drug-resistant microbes. In this Director's Briefing video, CDC Director Dr. Tom Frieden talks about how advanced-molecular detection (AMD) tools such as molecular sequencing and bioinformatics are revolutionizing CDC's approach towards investigating and controlling disease outbreaks. These next generation tools will help CDC find and stop killer microbes before they spread -- protecting Americans from a "perfect storm" of increasing disease threats -- but only if we move forward with these new technologies now. Learn more at http://www.cdc.gov/AMD/.
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=27aa7f01b739e45ce7aca2ea1ca571d320130410140245043 |
| Advanced-Molecular Detection | 0.971569 |
|
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58 million nonsmokers in US are still exposed to secondhand smoke |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Mortality Weekly Report | 0.558713 |
| safe level | 0.429567 |
| deputy director | 0.438567 |
| smoke-free units | 0.475404 |
| lung cancer | 0.55049 |
| rental status | 0.440213 |
| Disease Control | 0.461393 |
| health care-associated infections | 0.562667 |
| children | 0.4905 |
| CDC’s Office | 0.453424 |
| black children | 0.462852 |
| secondhand smoke | 0.947469 |
| Nutrition Examination Survey | 0.583858 |
| local laws | 0.434043 |
| CDC Director Tom | 0.580529 |
| new Vital Signs | 0.60003 |
| key health indicators. | 0.551856 |
| Brian King | 0.43876 |
| respiratory infections | 0.437362 |
| National Health | 0.474584 |
| SHS exposure | 0.871122 |
| smoke-free home rules | 0.577928 |
| Sudden Infant Death | 0.778933 |
| rental housing | 0.462788 |
| adult nonsmokers | 0.466522 |
|
| cancer prevention | 0.434755 |
| United States | 0.459344 |
| CDC journal | 0.445407 |
| comprehensive smoke-free laws | 0.582039 |
| cardiovascular health | 0.439962 |
| cigarette smoking | 0.455521 |
| Additional key findings | 0.555499 |
| heart disease | 0.551258 |
| prescription drug overdose | 0.539774 |
| particular concern | 0.437368 |
| multiunit housing | 0.541615 |
| latest data | 0.429497 |
| subsidized housing | 0.449265 |
| motor vehicle passenger | 0.533656 |
| Vital Signs report | 0.830775 |
| study assessed exposure | 0.684175 |
| overall decline | 0.428584 |
| research translation | 0.438526 |
| preventable health hazard | 0.578713 |
| non-smoking adults | 0.438812 |
| American children | 0.464582 |
| food safety | 0.428393 |
| Surgeon General | 0.425701 |
| Infant Death Syndrome | 0.77132 |
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Holiday Road Safety | CDC Features |
Stay safe on the roads and take action to protect yourself and your loved ones. |
| parent-teen driving agreements | 0.657233 |
| drive sober | 0.466821 |
| teen stay | 0.476681 |
| heavy traffic season | 0.647886 |
| death | 0.292443 |
| United States | 0.476867 |
| Unbuckled passengers | 0.479039 |
| good example | 0.447972 |
| driving skills | 0.437008 |
| car crash | 0.459122 |
| concrete ways | 0.442506 |
| matter | 0.29048 |
| motor vehicle | 0.953143 |
| tools | 0.240061 |
| GDL | 0.262682 |
| tips | 0.2412 |
| Motor vehicle safety | 0.611552 |
| driver licensing | 0.428334 |
| low-risk conditions | 0.460515 |
| trip | 0.280738 |
| holidays | 0.281211 |
| children | 0.325766 |
| road | 0.24088 |
| systems | 0.240456 |
|
| causes | 0.247847 |
| size-appropriate car seats | 0.686828 |
| action | 0.248916 |
| holiday season | 0.456254 |
| deaths | 0.256728 |
| teenage driver | 0.44089 |
| little ones | 0.452653 |
| child passenger safety | 0.649471 |
| laws | 0.240604 |
| advantage | 0.240066 |
| roads | 0.307231 |
| resources | 0.241069 |
| Motor vehicle injuries | 0.669371 |
| sure passengers | 0.484731 |
| booster seats | 0.478919 |
| people | 0.284265 |
| seat belt | 0.793464 |
| small amounts | 0.445952 |
| fatal injuries | 0.465391 |
| difference | 0.244659 |
| motor vehicle crashes | 0.740514 |
| family | 0.24115 |
| supervised driving time | 0.638053 |
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Adapting and Validating the Global Physical ActivityQuestionnaire GPAQ for Trivandrum, India, 2013 |
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. |
| self-reported physical activity | 0.557557 |
| physical activity assessment | 0.5257 |
| activity chart | 0.459257 |
| physical activity measurement | 0.486395 |
| moderate physical activity | 0.476157 |
| physical activity profile | 0.467413 |
| moderate-to-vigorous physical activity | 0.499264 |
| vigorous physical activity | 0.491576 |
| accelerometer-based physical activity | 0.471417 |
| physical activity monitors | 0.462177 |
| nonbouted physical activity | 0.46704 |
| global physical activity | 0.508673 |
| vigorous intensity | 0.486606 |
| South Indian women | 0.468368 |
| actual physical activity | 0.478107 |
| vigorous-intensity physical activity | 0.489711 |
| accelerometer-based nonbouted MVPA | 0.46147 |
| women | 0.534106 |
| physical activities women | 0.472902 |
| study | 0.490826 |
| self-reported modified GPAQ | 0.475507 |
| mean activity duration | 0.462294 |
| accelerometer-derived physical activity | 0.467779 |
| habitual physical activity | 0.463039 |
|
| South India | 0.472429 |
| physical activity questionnaire | 0.522333 |
| objective physical activity | 0.477218 |
| total physical activity | 0.501223 |
| accelerometer-based overall MVPA | 0.461057 |
| accelerometer-based MVPA | 0.494708 |
| accelerometer measurements | 0.472708 |
| cultural physical activity | 0.466142 |
| population-level physical activity | 0.464175 |
| physical activity surveillance | 0.471623 |
| overall physical activity | 0.467723 |
| new physical activity | 0.462419 |
| overall accelerometer-based MVPA | 0.460373 |
| moderate-vigorous physical activity | 0.462166 |
| precise physical activity | 0.472285 |
| physical activity | 0.918516 |
| accelerometer-based physical activities | 0.458065 |
| leisure-time physical activity | 0.465728 |
| local physical activities | 0.465176 |
| activities | 0.507182 |
| physical activity patterns | 0.464911 |
| GPAQ | 0.578552 |
| accelerometer-measured physical activity | 0.464881 |
| physical activities | 0.500214 |
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