| 712 |
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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| 1284 |
Centers for Disease Control and Prevention |
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Science Clips - Monday, March 31, 2014 |
Each Tuesday, to enhance awareness of emerging scientific knowledge, selected science clips will be posted here for the public health community. The focus is applied public health research and prevention science that has the capacity to improve health now. |
| endorsement | 0.443313 |
| current awareness | 0.484621 |
| findings | 0.362455 |
| asterisk | 0.348666 |
| focus | 0.336495 |
| prevention science | 0.527322 |
| science clips | 0.878568 |
| Gail Bang | 0.504663 |
| Disease Control | 0.486123 |
| CDC Science Clips | 0.818911 |
| Kelli Sibert | 0.501844 |
| clinicians | 0.335933 |
| Child Health | 0.525343 |
| Librarian | 0.513322 |
| factual accuracy | 0.490379 |
| Maternal | 0.341281 |
| conclusions | 0.336512 |
| scientific articles | 0.521655 |
| Connick | 0.347516 |
| MLIS | 0.398368 |
| DHHS | 0.533403 |
| DISCLAIMER | 0.344601 |
| general review articles | 0.685464 |
| items | 0.374853 |
|
| Web Developer | 0.491235 |
| Victoria Burchfield | 0.494492 |
| authoritative sources | 0.50682 |
| MD MPH | 0.528364 |
| public health community | 0.73891 |
| Vital Signs issue | 0.684298 |
| scientific knowledge | 0.527509 |
| public health professionals | 0.695083 |
| scientific information | 0.504463 |
| omission | 0.346504 |
| public health | 0.996904 |
| views | 0.354282 |
| Jane Gidudu | 0.493921 |
| informational purposes | 0.474234 |
| public health literature | 0.66673 |
| B. Thacker CDC | 0.820645 |
| background information | 0.500528 |
| original authors | 0.488184 |
| opinion | 0.355304 |
| non-CDC Websites | 0.484176 |
| John Iskander | 0.521892 |
| CDC Vital Signs | 0.862278 |
| news sources | 0.482463 |
| Editor | 0.364688 |
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Centers for Disease Control and Prevention |
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Isophorone - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 7546 |
Centers for Disease Control and Prevention |
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ADHD - State-based Prevalence Data of ADHD Medication Treatment |
ADHD is one of the most common neurobehavioral disorders of childhood. It is usually first diagnosed in childhood and often lasts into adulthood. Children with ADHD have trouble paying attention, controlling impulsive behaviors (may act without thinking about what the result will be), and in some cases, are overly active. |
| Microsoft PowerPoint file | 0.690305 |
| North Carolina | 0.683861 |
| ePub file | 0.625007 |
| State Profiles | 0.807126 |
| Birth Defects | 0.657909 |
| Microsoft Word file | 0.694036 |
| Clifton Road Atlanta | 0.6582 |
| children | 0.641321 |
| Microsoft Excel file | 0.68914 |
| Tweet Share Compartir | 0.691859 |
| Health Care Provider-Diagnosed | 0.693918 |
| list Skip | 0.627821 |
| Health Service Providers | 0.697586 |
| page options Skip | 0.731465 |
| different file formats | 0.693042 |
| Multimedia Fact Sheets | 0.684406 |
| Email Address Enter | 0.854982 |
| Apple Quicktime file | 0.688868 |
| Positive Parenting Tips | 0.653104 |
| Address Enter Email | 0.854953 |
| CDC A-Z | 0.641093 |
| Adobe PDF file | 0.687916 |
| State-based Prevalence Data | 0.693329 |
| Research PLAY Study | 0.683006 |
| email address | 0.934577 |
|
| ADHD Medication Treatment | 0.87954 |
| Search Form Controls | 0.849289 |
| South Carolina | 0.680609 |
| West Virginia | 0.684698 |
| Enter Email Address | 0.854924 |
| A-Z Index | 0.703088 |
| National Survey | 0.765298 |
| State Information State | 0.733859 |
| North Dakota | 0.687181 |
| ADHD Age | 0.73848 |
| New York | 0.692743 |
| Rhode Island | 0.681762 |
| Search Controls | 0.691282 |
| South Dakota | 0.683896 |
| Statistics ADHD | 0.741226 |
| New Jersey | 0.69373 |
| New Mexico | 0.697262 |
| ADHD Receiving Medication | 0.83949 |
| Medicated ADHD | 0.766487 |
| New Hampshire | 0.698271 |
| Youth Aged | 0.685278 |
| Email Updates | 0.699335 |
| ADHD Treatments | 0.794268 |
| RIS file | 0.623963 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Determinants of Successful Public-Private Partnerships in the Context of Overweight Prevention in Dutch Youth - CDC |
A public-private partnership (PPP) is an essential component of the Dutch community-based approach toward overweight prevention, Youth on Healthy Weight (JOGG). Beginning in 2010, 25 Dutch municipalities have implemented JOGG, but little is known about determinants of successful partnerships. This study aims to identify these determinants to guide other municipalities or communities in creating successful partnerships. |
| main study | 0.470336 |
| public health issues | 0.475423 |
| GGD Hart voor | 0.514051 |
| municipality | 0.479405 |
| major food companies | 0.544662 |
| program | 0.472686 |
| JOGG municipalities | 0.504346 |
| successful PPPs | 0.479606 |
| private partners | 0.922331 |
| project leader | 0.511104 |
| public partners | 0.839566 |
| Veghel | 0.715525 |
| various partners | 0.473242 |
| Monique Jacobs-van der | 0.536216 |
| results | 0.477173 |
| local JOGG approach | 0.47524 |
| goals | 0.526312 |
| new private partners | 0.529815 |
| determinants | 0.489178 |
| partnership | 0.561649 |
| dutch youth | 0.510877 |
| different partners | 0.485202 |
| long-term public health | 0.470017 |
| Male company owner | 0.663885 |
|
| Renders C. Determinants | 0.471726 |
| JOGG approach | 0.486163 |
| local JOGG objectives | 0.469649 |
| Jacobs-van der Bruggen | 0.588396 |
| integrated approach | 0.521014 |
| Contact-group Veghel Companies | 0.540829 |
| decisive management | 0.515766 |
| Public Health TRANZO | 0.474487 |
| JOGG | 0.728682 |
| JOGG Veghel | 0.683725 |
| corporate social responsibility | 0.506316 |
| Dutch JOGG municipalities | 0.488465 |
| PPP | 0.492259 |
| potential partners | 0.490586 |
| overweight prevention | 0.650906 |
| Hart voor Brabant | 0.568025 |
| public health goals | 0.520838 |
| public health | 0.64717 |
| concrete actions | 0.469476 |
| Current JOGG municipalities | 0.475756 |
| Female board member | 0.48205 |
| successful partnerships | 0.536837 |
| joint responsibility | 0.556039 |
| Public Health Service | 0.617392 |
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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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Centers for Disease Control and Prevention |
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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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Infectious Disease Framework | OID | CDC |
A CDC Framework for Preventing Infectious Diseases: Sustaining the Essentials and Innovating for the Future |
| U.S. public health | 0.679222 |
| list Skip | 0.846647 |
| infectious threats | 0.549206 |
| CDC Framework | 0.509962 |
| Preventing Infectious Diseases | 0.79277 |
|
| page options Skip | 0.99224 |
| Materials | 0.249169 |
| roadmap | 0.292963 |
| Essentials | 0.281356 |
| ability | 0.261622 |
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Identifying New Positives and Linkage to HIV Medical Care -23 Testing Site Types, United States, 2013 |
Puja Seth, PhD1; Guoshen Wang, MS1; Nicoline T. Collins, MPH1; Lisa Belcher, PhD1 (Author affiliations at end of text). |
| CDC-funded HIV testing | 0.251932 |
| National HIV/AIDS Strategy | 0.237718 |
| site types | 0.320982 |
| new HIV infections | 0.261848 |
| HIV tests | 0.299229 |
| HIV prevalence | 0.23699 |
| adult entertainment venues | 0.23882 |
| STD clinics | 0.322145 |
| HIV surveillance record | 0.233484 |
| Valid HIV tests | 0.237858 |
| HIV testing efforts | 0.233174 |
| HIV clinics | 0.257161 |
| highest percentage | 0.21115 |
| percentage | 0.211967 |
| HIV testing site | 0.247948 |
| substantially more HIV | 0.214219 |
| individual HIV tests | 0.222887 |
| HIV testing resources | 0.286357 |
| HIV Testing Initiative | 0.228951 |
| individual residences | 0.207321 |
|
| services field visits | 0.307903 |
| non–health care settings | 0.893435 |
| hiv testing | 0.555827 |
| HIV prevention services | 0.239405 |
| HIV medical care | 0.399544 |
| unspecified outpatient facilities | 0.31286 |
| HIV testing records | 0.247877 |
| routine HIV screening | 0.244152 |
| testing sites | 0.294112 |
| HIV counseling | 0.293661 |
| community settings | 0.211563 |
| HIV | 0.620097 |
| CDC HIV testing | 0.258433 |
| health care settings | 0.622326 |
| CDC-funded HIV tests | 0.270589 |
| new positives | 0.938097 |
| HIV prevention activities | 0.237132 |
| HIV tests* | 0.21518 |
| high HIV prevalence | 0.216057 |
| partner services field | 0.306861 |
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Centers for Disease Control and Prevention |
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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 |
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| 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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