| 4960 |
Centers for Disease Control and Prevention |
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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 |
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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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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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PanFlu Storybook - In Memorial, Otey VanDenburah Gilmar |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| pandemic flu | 0.641805 |
| Pittsylvania County | 0.629242 |
| Otey VanDenburah Gilmar | 0.946333 |
| father | 0.435644 |
| training | 0.42788 |
| girls | 0.429555 |
| Grace Fitzgerald | 0.620379 |
| mother | 0.435506 |
| tobacco farmer | 0.605282 |
| Thomas Jones Fitzgerald | 0.776661 |
| Storyteller | 0.450825 |
| Cary Perkins | 0.655401 |
| Chatham | 0.44517 |
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| Grace′s death | 0.572792 |
| Frank Augustus VanDenburah | 0.768627 |
| families | 0.429256 |
| Cary G. Smith | 0.835635 |
| cousin | 0.450259 |
| nurses | 0.435897 |
| money | 0.42787 |
| nursing school | 0.57223 |
| Hattie VanDenburah | 0.609113 |
| family | 0.429864 |
| Virginia | 0.515107 |
| daughter | 0.501057 |
| Location | 0.435126 |
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Centers for Disease Control and Prevention |
Html |
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Realización de una encuesta estatal sobre exámenes de salud: la Encuesta de Exámenes de Salud Cardiovascular de Arkansas (ARCHES). |
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| Salud Cardiovascular | 0.928984 |
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Centers for Disease Control and Prevention |
Html |
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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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Centers for Disease Control and Prevention |
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Estimated Lifetime Medical and Work-Loss Costs of EmergencyDepartment-Treated Nonfatal Injuries - United States, 2013 |
Curtis Florence, PhD1; Tamara Haegerich, PhD2; Thomas Simon, PhD3; Chao Zhou, PhD1; Feijun Luo, PhD1. |
| lifetime cost estimates | 0.29711 |
| fall injuries | 0.381454 |
| ED-treated nonfatal injury | 0.394381 |
| injuries | 0.992724 |
| age-specific injury rates | 0.316027 |
| ED-treated injuries | 0.58275 |
| lifetime costs | 0.466102 |
| substantial costs | 0.391462 |
| Total estimated costs | 0.435401 |
| additional costs | 0.38435 |
| unintentional injuries | 0.606244 |
| violence-related injuries | 0.37587 |
| violent injuries | 0.422647 |
| average costs | 0.40746 |
| considerable societal costs | 0.405216 |
| self-harm costs | 0.47554 |
| National Electronic Injury | 0.317534 |
| total estimated lifetime | 0.293354 |
| medical care costs | 0.435745 |
| System–All Injury Program | 0.314598 |
| Unintentional Injury Prevention | 0.321817 |
| age groups | 0.320775 |
| fatal injury costs | 0.645531 |
| substantial work-loss costs | 0.430733 |
| motor vehicle–related injuries | 0.406041 |
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| higher work-loss costs | 0.434111 |
| work-loss costs | 0.777151 |
| transportation-related injuries | 0.427977 |
| nonfatal injury reports | 0.394671 |
| firearm-related injuries | 0.387794 |
| Web-Based Injury Statistics | 0.314777 |
| self-harm injuries | 0.518397 |
| lifetime work-loss costs | 0.54495 |
| ED-treated nonfatal injuries | 0.69503 |
| Assault injuries | 0.435603 |
| U.S. Census Bureau | 0.325947 |
| intentional injuries | 0.390807 |
| total costs | 0.454983 |
| health care | 0.31059 |
| costs | 0.956225 |
| total lifetime work-loss | 0.311427 |
| ED-treated injury costs | 0.458873 |
| large share | 0.352409 |
| medical costs | 0.508658 |
| nonfatal injuries | 0.944243 |
| nonfatal injury costs | 0.641279 |
| motor vehicle crashes | 0.330994 |
| primarily motor vehicle | 0.330241 |
| hospital costs | 0.406314 |
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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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Pregnant? Get vaccinated. |
Learn about the vaccines you will need before and during your pregnancy to help protect yourself and your newest family member from serious diseases. |
| newest family member | 0.374775 |
| CDC | 0.237576 |
| half | 0.233362 |
| American Academy | 0.291636 |
| evidence | 0.231915 |
| data | 0.229718 |
| Nurse midwives | 0.293984 |
| body | 0.235728 |
| time period | 0.274086 |
| flu vaccines | 0.546684 |
| pregnant women | 0.524479 |
| safety | 0.229705 |
| disease protection | 0.279446 |
| flu vaccination | 0.411626 |
| antibodies | 0.259914 |
| rubella | 0.240673 |
| pregnancy | 0.572663 |
| early life | 0.275835 |
| trimester | 0.240888 |
| baby girl | 0.287013 |
| high risk | 0.277574 |
| Flu activity | 0.398605 |
| professional medical groups | 0.372858 |
| trimesters | 0.21909 |
| whooping cough vaccine | 0.735486 |
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| short-term protection | 0.274391 |
| flu vaccine | 0.631063 |
| immunity | 0.218332 |
| flu-related hospitalizations | 0.292065 |
| flu shots | 0.43568 |
| flu protection | 0.403522 |
| vaccine viruses | 0.3211 |
| seasonal flu outbreaks | 0.459324 |
| American College | 0.291566 |
| pregnancy complications | 0.327403 |
| current flu season | 0.490853 |
| preterm delivery | 0.366787 |
| birth weight | 0.27401 |
| complications | 0.335864 |
| lung functions | 0.284487 |
| birth defects | 0.282727 |
| flu | 0.757668 |
| doctor | 0.240358 |
| whooping cough | 0.95139 |
| flu shot | 0.560761 |
| healthy pregnancy | 0.29809 |
| illness milder | 0.284533 |
| baby | 0.459484 |
| risk | 0.299425 |
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