| 4960 |
Centers for Disease Control and Prevention |
Html |
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Vaccines: Rabies |
Rabies vaccine info for parents, public, and healthcare professionals |
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CLICK HERE |
| 6550 |
Centers for Disease Control and Prevention |
Html |
en |
Prepregnancy Contraceptive Use Among Teens with Unintended Pregnancies Resulting in Live Births - Pregnancy Risk Assessment Monitoring System PRAMS, 2004 - 2008 |
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. |
| sexually active teen | 0.566598 |
| effective contraceptive methods | 0.650043 |
| prepregnancy contraceptive methods | 0.578326 |
| highly effective method | 0.602094 |
| teen mothers | 0.931732 |
| effective contraceptive method | 0.635999 |
| unintended pregnancy | 0.602959 |
| U.S. live births | 0.596141 |
| sexual activity | 0.612949 |
| teen pregnancy | 0.681913 |
| non-hispanic black teens | 0.729749 |
| sexual intercourse | 0.611712 |
| Hispanic teen females | 0.657885 |
| CDC PRAMS protocol | 0.567352 |
| non-Hispanic white teens | 0.646399 |
| contraception | 0.621086 |
| contraceptive methods data | 0.694117 |
| birth control | 0.76404 |
| live births | 0.699738 |
| live infant | 0.681934 |
| weighted response rate | 0.586472 |
| human immunodeficiency virus | 0.585042 |
| contraceptive methods | 0.939471 |
| Vital Stat Rep | 0.5801 |
|
| effective methods | 0.75177 |
| teen childbearing | 0.613885 |
| United States | 0.58622 |
| states | 0.637015 |
| Pregnancy Risk Assessment | 0.959824 |
| sexually transmitted infections | 0.591994 |
| sexually active teens | 0.985766 |
| Family Growth | 0.613387 |
| unintended teen pregnancy | 0.601305 |
| PRAMS data | 0.573015 |
| teen birth rates | 0.605833 |
| National Survey | 0.605446 |
| Natl Vital Stat | 0.586036 |
| New York | 0.577834 |
| Ayanna T. Harrison | 0.577352 |
| teen birth rate | 0.592479 |
| PRAMS | 0.645971 |
| specific contraceptive methods | 0.605678 |
| moderately effective method | 0.723429 |
| Chronic Disease Prevention | 0.593098 |
| Urban Institute Press | 0.67242 |
| Hispanic teens | 0.627353 |
| highly effective methods | 0.619432 |
| Risk Assessment Monitoring | 0.969033 |
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CLICK HERE |
| 6749 |
Centers for Disease Control and Prevention |
Html |
en |
Arthritis as a Potential Barrier to Physical Activity Among Adults with Obesity --- United States, 2007 and 2009 |
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. |
| Ñ?ЛП
Adults | 0.371686 |
| Arthritis Foundation Self-Help | 0.518812 |
| Arthritis Foundation Exercise | 0.518982 |
| body mass | 0.365744 |
| state-level prevalence estimates | 0.44773 |
| lower prevalence | 0.364912 |
| common comorbidity | 0.367519 |
| unadjusted state-level prevalence | 0.446949 |
| education level | 0.392406 |
| median cooperation rates | 0.374113 |
| physical activity programs | 0.455738 |
| arthritis prevalence | 0.544406 |
| obesity | 0.839812 |
| arthritis status | 0.533586 |
| annual point estimates | 0.366502 |
| state-specific prevalence | 0.378799 |
| weight loss | 0.392291 |
| Arthritis Foundation Walk | 0.519457 |
| arthritis-related joint pain | 0.367104 |
| rheumatoid arthritis | 0.51403 |
| significantly higher prevalence | 0.507362 |
| persons | 0.367597 |
| arthritis | 0.929245 |
| physical activity level | 0.403723 |
|
| median response rates | 0.376387 |
| future state-level planning | 0.364769 |
| physical inactivity prevalence | 0.430591 |
| self-reported doctor-diagnosed arthritis | 0.635702 |
| adults | 0.557251 |
| arthritis pain | 0.496869 |
| percentage points | 0.455239 |
| self-reported physical inactivity | 0.443926 |
| self-reported obesity | 0.515123 |
| physical activity recommendations | 0.42103 |
| Arthritis Program | 0.535543 |
| CDC Arthritis Program | 0.523297 |
| occupational physical activity | 0.402613 |
| 50 states | 0.36511 |
| Arthritis Foundation | 0.54316 |
| weight maintenance | 0.370385 |
| U.S. adults | 0.381655 |
| Evidence-based physical activity | 0.401585 |
| median prevalence | 0.387343 |
| Higher education level | 0.373513 |
| Kamil E. Barbour | 0.408309 |
| physical activity | 0.939365 |
| obesity epidemic | 0.458856 |
| self-management education programs | 0.413025 |
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CLICK HERE |
| 6776 |
Centers for Disease Control and Prevention |
Html |
en |
Evaluation of the Healthy Schools Program: Part II. The role of technical assistance. |
The objectives of this study were to evaluate the role of the program’s training and technical assistance and to explore other contributing factors in changing school policies, practices, and environments. |
| baseline index scores | 0.581004 |
| southern schools | 0.600345 |
| urban schools | 0.598373 |
| New American Schools | 0.543836 |
| school-based obesity prevention | 0.656525 |
| linear regression models | 0.553669 |
| technical assistance sessions | 0.552302 |
| House Task Force | 0.548909 |
| index gain score | 0.55836 |
| higher baseline scores | 0.662687 |
| lower baseline scores | 0.557443 |
| school | 0.88471 |
| HSP relationship managers | 0.560537 |
| urban school districts | 0.553617 |
| school level | 0.750856 |
| White House Task | 0.548129 |
| HSP Inventory | 0.569941 |
| school personnel | 0.547182 |
| HSP | 0.577845 |
| baseline index score | 0.577328 |
| national content expert | 0.689995 |
| total index gain | 0.55606 |
| Hunger-Free Kids Act | 0.63832 |
| after-school programs | 0.589618 |
| school characteristic covariates | 0.565899 |
|
| school obesity prevention | 0.574383 |
| schools | 0.938363 |
| content area | 0.61594 |
| school representatives | 0.579135 |
| school action plans | 0.547434 |
| significantly higher baseline | 0.564742 |
| TTA variables | 0.69362 |
| school progress | 0.642457 |
| Healthy Schools Framework | 0.560312 |
| 6-step change process | 0.541035 |
| school employee wellness | 0.66652 |
| school demographic data | 0.548241 |
| school wellness council | 0.543437 |
| technical assistance | 0.717015 |
| content areas | 0.721916 |
| Healthy Schools Program | 0.643761 |
| middle school level | 0.550284 |
| physical activity | 0.576295 |
| study sample schools | 0.562751 |
| total index | 0.587934 |
| training sessions | 0.630863 |
| childhood obesity | 0.665933 |
| progress | 0.735165 |
| relationship managers | 0.704284 |
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| 7677 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Application for Clinicians and Health Care Professionals |
CDC Influenza Application for Clinicians and Health Care Professionals |
| Influenza Diagnostic Testing | 0.383537 |
| influenza mobile application | 0.60591 |
| Flu Illness | 0.461218 |
| Flu Viruses | 0.514492 |
| Flu Vaccines | 0.784545 |
| CDC Influenza Mobile | 0.560939 |
| Prevent Flu | 0.524699 |
| Influenza Testing Results | 0.428587 |
| Flu Good Health | 0.519898 |
| Influenza Viruses | 0.431154 |
| Seasonal Influenza Vaccine | 0.750885 |
| Quadrivalent Influenza Vaccine | 0.568048 |
| Intradermal Influenza | 0.340057 |
| Flu Activity | 0.514757 |
| Flu Adults | 0.474018 |
| Influenza Pandemic Virus | 0.40446 |
| Health Care | 0.380083 |
| Flu Vaccine | 0.883907 |
| (Flu) | 0.801328 |
| Influenza Types | 0.381751 |
| ) Vaccination | 0.630621 |
| Influenza Vaccines | 0.472492 |
| United States Flu | 0.497027 |
| Vaccine Safety Vaccine | 0.478671 |
| Influenza Viruses Types | 0.42653 |
|
| Flublok Seasonal Influenza | 0.423736 |
| Vaccination Flu Vaccination | 0.557917 |
| High-Dose Seasonal Influenza | 0.425783 |
| Weekly U.S. Influenza | 0.384899 |
| Control Influenza Transmission | 0.361201 |
| Flu Antiviral Drugs | 0.712863 |
| CDC International Flu | 0.514588 |
| Prevent Flu Preventive | 0.501617 |
| Influenza Surveillance | 0.352725 |
| Seasonal Flu | 0.50736 |
| Flu Vaccine Recommendation | 0.645867 |
| Flu Treatment | 0.480866 |
| Influenza Vaccination Clinic | 0.407744 |
| Flu News | 0.415174 |
| Flu Complications | 0.443548 |
| Flu Season Flu | 0.959432 |
| Diagnosis Flu Symptoms | 0.505544 |
| Flu Vaccine Safety | 0.732084 |
| Cell-Based Flu Vaccines | 0.558741 |
| Flu Season Current | 0.531807 |
| Flu Vaccines Work | 0.570562 |
| Influenza Vaccine Doses | 0.562359 |
| Past Flu Seasons | 0.505792 |
| Influenza 2015-2016 Season | 0.418906 |
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CLICK HERE |
| 8104 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | The Effect of Price Reductionon Salad Bar Purchases at a Corporate Cafeteria - CDC |
The objective of this study was to determine the effect of a price reduction on salad bar purchases in a corporate cafeteria. |
| Daily salad bar | 0.550503 |
| healthful food consumption | 0.425898 |
| data | 0.389728 |
| salad bar purchases | 0.687937 |
| Prev Chronic Dis | 0.402033 |
| mean daily sales | 0.40827 |
| cafeteria | 0.458721 |
| headquarters building e-mail | 0.394797 |
| current price | 0.370836 |
| price | 0.579664 |
| typical lunch option | 0.380498 |
| HealthPartners health assessment | 0.40433 |
| salad plate | 0.440866 |
| Survey respondents | 0.374667 |
| adequate amounts | 0.391494 |
| lunchtime salad bar | 0.514582 |
| price elasticity | 0.499114 |
| food category | 0.385258 |
| HealthPartners institutional review | 0.395043 |
| product price | 0.377474 |
| grocery stores | 0.386933 |
| corporate headquarters cafeteria | 0.435295 |
| cafeteria intervention | 0.382718 |
| salad bar | 0.963059 |
|
| salad bar sales | 0.838322 |
| salad price | 0.488406 |
| employee cafeteria | 0.377905 |
| high price | 0.382463 |
| open-ended question | 0.39436 |
| Abigail S. Katz | 0.382057 |
| sales data | 0.382072 |
| salads | 0.387927 |
| HealthPartners corporate headquarters | 0.462999 |
| anonymous online survey | 0.389711 |
| headquarters e-mail distribution | 0.391704 |
| Juliana O. Tillema | 0.382557 |
| e-mail distribution list | 0.480395 |
| salad purchases | 0.452732 |
| Total daily sales | 0.408148 |
| salad sales | 0.456025 |
| Nicolaas P. Pronk | 0.38987 |
| survey data | 0.376719 |
| HealthPartners cafeteria | 0.387612 |
| good mental health | 0.395994 |
| Thomas E. Kottke | 0.382602 |
| Public Health Service | 0.384209 |
| price reduction | 0.495567 |
| salad consumption | 0.489863 |
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CLICK HERE |
| 9583 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Vaccination Coverage Among Health-Care Personnel -United States, 2012-13 Influenza Season |
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. |
| professional hcp | 0.379547 |
| vaccination promotion policies | 0.349655 |
| settings offering vaccination | 0.388269 |
| influenza vaccination coverage | 0.613904 |
| occupational settings | 0.415866 |
| clinical HCP | 0.371556 |
| volunteer HCP members | 0.368014 |
| employer vaccination policies | 0.365732 |
| vaccination coverage | 0.959814 |
| Internet panel survey | 0.565931 |
| nonclinical HCP | 0.369742 |
| hospital-based HCP | 0.383509 |
| LTCF HCP | 0.359675 |
| Worksite vaccination | 0.341531 |
| HCP vaccination coverage | 0.669426 |
| nurse practitioners/physician assistants | 0.302662 |
| facilities offering vaccination | 0.352245 |
| high HCP vaccination | 0.500027 |
| HCP occupations | 0.371142 |
| HCP population | 0.35252 |
| HCP | 0.737732 |
| annual influenza vaccination | 0.385404 |
| influenza vaccination strategies | 0.428212 |
| self-selected HCP | 0.394948 |
| occupational setting | 0.335116 |
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| hospital HCP | 0.356959 |
| vaccination promotion | 0.390015 |
| high vaccination coverage | 0.372673 |
| vaccination availability | 0.328988 |
| overall HCP influenza | 0.421083 |
| influenza vaccination services | 0.389681 |
| vaccination requirements | 0.397217 |
| higher vaccination coverage | 0.396942 |
| self-reported influenza vaccination | 0.411401 |
| vaccination benefits | 0.361942 |
| HCP influenza vaccination | 0.579758 |
| Routine influenza vaccination | 0.429769 |
| HCP work settings | 0.383223 |
| influenza season | 0.366047 |
| seasonal vaccination coverage | 0.37109 |
| long-term care facilities | 0.295898 |
| vaccination promotion trend | 0.350313 |
| occupation type | 0.381824 |
| overall vaccination coverage | 0.380889 |
| HCP groups | 0.349504 |
| influenza vaccination | 0.81254 |
| influenza seasons | 0.300702 |
| overall HCP vaccination | 0.480646 |
| vaccination requirement | 0.361844 |
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Centers for Disease Control and Prevention |
Html |
en |
Short and Extended Messages'Nuclear Weapons'First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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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CLICK HERE |
| 12117 |
Centers for Disease Control and Prevention |
Html |
en |
Ebola Virus Disease - Healthcare Workers - NIOSH Workplace Safety & Health Topic |
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| Ebola Healthcare Workers | 0.674713 |
| Suspected Ebola Virus | 0.550364 |
| Improved Personal Protective | 0.337616 |
| CDC Safety Training | 0.295069 |
| PPE Selection Matrix | 0.322201 |
| Confirmed Ebola | 0.52519 |
| Selecting Protective Clothing | 0.327174 |
| Doffing PPE | 0.31615 |
| Fighting Ebola | 0.504095 |
| Handling Patient Specimens | 0.287605 |
| Cal/OSHA Interim Guidance | 0.353772 |
| Protective Equipment Training | 0.343754 |
| Healthcare Workers Providing | 0.316283 |
| Wearing Personal Protective | 0.328814 |
| personal protective equipment | 0.961602 |
| Virus Disease Screening | 0.312477 |
| Interim NIOSH Training | 0.327 |
| Ebola Patients | 0.498085 |
| NIOSH-OSHA Fact Sheet | 0.2863 |
| Specimen Collection | 0.288086 |
| Safety Answering Points | 0.339151 |
| 9-1-1 Public Safety | 0.339974 |
| OSHA Fact Sheet | 0.29414 |
| Medical Waste Management | 0.301233 |
| Medscape Ebola video | 0.549729 |
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| potentially infectious materials | 0.294964 |
| Human Remains | 0.286598 |
| CDC Ebola Healthcare | 0.623285 |
| Emergency Department Evaluation | 0.293099 |
| Interim Guidance Regarding | 0.344334 |
| Ebola Preparedness | 0.615487 |
| U.S. Healthcare Settings | 0.319763 |
| Ebola Virus Disease | 0.582911 |
| Air Medical Transport | 0.292343 |
| Ebola Outbreak | 0.543802 |
| Respiratory Protection | 0.294675 |
| U.S Healthcare Facilities | 0.312853 |
| Fact Sheet | 0.337911 |
| Ambulatory Care Evaluation | 0.287097 |
| Interim Guidance | 0.413677 |
| OSHA/NIOSH/EPA Fact Sheet | 0.287934 |
| Doffing Personal Protective | 0.374964 |
| Public Safety Answering | 0.339176 |
| NIOSH Science Blog | 0.306814 |
| Contain Ebola | 0.474684 |
| Safe Handling | 0.332702 |
| Ebola Virus | 0.774288 |
| Concern About Ebola | 0.476749 |
| Healthcare Workers Going | 0.314574 |
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| 13890 |
Centers for Disease Control and Prevention |
Html |
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Progress Toward Poliomyelitis Eradication - Pakistan,January 2014-September 2015 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| high AFP surveillance | 0.586446 |
| high-risk areas | 0.528767 |
| environmental surveillance | 0.558318 |
| polio eradication | 0.952427 |
| vaccine-derived poliovirus type | 0.527651 |
| oral poliovirus vaccine | 0.750233 |
| annual nonpolio AFP | 0.577129 |
| FATA | 0.717132 |
| areas | 0.581694 |
| low vaccine coverage | 0.535842 |
| wild poliovirus type | 0.541453 |
| AFP cases | 0.644673 |
| United Nations Children | 0.552037 |
| Administered Tribal Areas | 0.547248 |
| polio eradication activities | 0.717641 |
| Pakistan | 0.633085 |
| North Waziristan | 0.550212 |
| Environmental surveillance supplements | 0.529504 |
| low transmission season | 0.710718 |
| Global Polio Eradication | 0.711547 |
| nonpolio AFP cases | 0.61269 |
| WPV1 cases | 0.660756 |
| Polio Eradication Department | 0.607757 |
| poliovirus vaccine type | 0.53862 |
|
| Eradication Initiative End-Game | 0.549374 |
| Polio Eradication Initiative | 0.707804 |
| positive environmental samples | 0.530797 |
| cases | 0.664529 |
| World Health Organization | 0.616664 |
| environmental samples | 0.814967 |
| inactivated poliovirus vaccine | 0.533439 |
| polio cases | 0.652559 |
| nonpolio AFP | 0.618104 |
| polio low transmission | 0.604214 |
| Eradication Initiative partners | 0.53608 |
| Emergency Operations Center | 0.612579 |
| National Polio Eradication | 0.643208 |
| AFP surveillance | 0.644965 |
| highest risk areas | 0.528075 |
| low AFP surveillance | 0.583612 |
| nonpolio AFP rates | 0.575432 |
| Global Polio Laboratory | 0.571151 |
| Noha H. Farag | 0.623558 |
| WPV transmission | 0.583362 |
| polio eradication efforts | 0.661343 |
| zero-dose children | 0.713539 |
| polio eradication partners | 0.640272 |
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CLICK HERE |