| 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 |
| 5918 |
Centers for Disease Control and Prevention |
Html |
en |
Formic acid - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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CLICK HERE |
| 6157 |
Centers for Disease Control and Prevention |
Html |
en |
Healthcare-associated Infections - Free Resources |
CDC's Winnable Battles are public health priorities with large-scale impact on health and with known, effective strategies to address them. |
| general public | 0.539593 |
| CDC campaign | 0.735743 |
| HAI Winnable Battle | 0.842919 |
| email address | 0.711868 |
| CDC Winnable Battles | 0.905183 |
| presentations | 0.42636 |
| antimicrobial agents | 0.561797 |
| social media tools | 0.697712 |
| HAI Website | 0.600935 |
| inpatient healthcare settings | 0.716378 |
| Spanish-language fact sheets | 0.704628 |
| healthcare professionals | 0.537178 |
| brochures | 0.450094 |
|
| work | 0.426191 |
| scientific articles | 0.555138 |
| safe injection practices | 0.842271 |
| briefing materials | 0.564449 |
| flyers | 0.429291 |
| following materials | 0.559738 |
| background information | 0.5574 |
| Smart | 0.426255 |
| SIPC | 0.445284 |
| policy briefs | 0.564003 |
| healthcare settings | 0.83009 |
| hand hygiene | 0.694808 |
| Injection Practices Coalition | 0.671324 |
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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 |
| 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 |
| 8003 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, January 28, 2013 |
null |
| smoke-free laws | 0.624708 |
| hepatitis C. Looking | 0.73019 |
| independent risk factor | 0.694094 |
| New York City | 0.711341 |
| CDC laboratorians | 0.726958 |
| important articles | 0.629102 |
| ongoing burden | 0.619452 |
| CDC Science Clips | 0.823511 |
| 2009-2010 H1N1 pandemic | 0.706458 |
| school-level implementation | 0.619852 |
| Librarian | 0.607937 |
| forward looking articles | 0.69923 |
| Current influenza prevention | 0.723849 |
| Barbara Landreth | 0.610743 |
| Science Clips Production | 0.71945 |
| non-pharmaceutical interventions | 0.620558 |
| high-risk group | 0.616317 |
| response teams | 0.610737 |
| DHHS | 0.614972 |
| life expectancy | 0.622813 |
| Haiti earthquake | 0.607973 |
| preparedness plans | 0.608797 |
| state level | 0.622213 |
| Chronic Disease Self-Management | 0.736695 |
| treatment strategies | 0.610045 |
|
| Lancet notes reasons | 0.693668 |
| MC Farrelly | 0.625692 |
| Web Developer | 0.693273 |
| public health priorities | 0.713021 |
| CDC journal | 0.757942 |
| timely commentary | 0.607799 |
| Rickettsia spp | 0.612716 |
| retrospective cohort study | 0.701238 |
| cautious optimism | 0.614784 |
| individual benefit | 0.610775 |
| CY Kato | 0.61384 |
| public health | 0.807657 |
| Science Clips | 0.924246 |
| chronic diseases | 0.629239 |
| state tobacco control | 0.716874 |
| KB Enfield | 0.608669 |
| public health literature | 0.691609 |
| B. Thacker CDC | 0.797895 |
| EIS alumnus SG | 0.713837 |
| prominent role | 0.60994 |
| youth smoking | 0.612682 |
| John Iskander | 0.730238 |
| New England Journal | 0.732069 |
| Science Clips features | 0.76289 |
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| 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 |
| 8290 |
Centers for Disease Control and Prevention |
Html |
en |
Eligibility and Enrollment in the Special SupplementalNutrition Program for Women, Infants, and Children WIC - 27States and New York City, 2007-2008 |
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. |
| risk markers | 0.405662 |
| Kristen S. Marchi | 0.389327 |
| Supplemental Nutrition Program | 0.399513 |
| WIC nonparticipants | 0.484756 |
| New York City | 0.403972 |
| unintended pregnancy | 0.357181 |
| ineligible women | 0.542984 |
| poor health outcomes | 0.373597 |
| Special Supplemental Nutrition | 0.401969 |
| pregnancy | 0.426335 |
| Infant Health Assessment | 0.377379 |
| markedly fewer risk | 0.356505 |
| WIC participation rates | 0.509347 |
| prenatal care | 0.479776 |
| live births | 0.475983 |
| live infant | 0.377187 |
| eligible nonparticipants | 0.898344 |
| survey | 0.390564 |
| WIC participants | 0.944844 |
| women | 0.659921 |
| Adolescent Health Program | 0.395078 |
| federal poverty level | 0.398818 |
| FPL | 0.358308 |
| previous low birth | 0.356524 |
| WIC eligibility | 0.495889 |
|
| WIC groups | 0.468885 |
| growth monitoring | 0.356756 |
| postpartum women | 0.383038 |
| Pregnancy Risk Assessment | 0.373489 |
| recent live births | 0.359729 |
| WIC outreach | 0.528964 |
| women eligible | 0.413143 |
| infant health outcomes | 0.602812 |
| eligible women | 0.52869 |
| survey data | 0.357465 |
| Table | 0.364265 |
| health-care coverage | 0.413369 |
| birth weight infant | 0.401551 |
| sample design | 0.373163 |
| WIC participation | 0.541081 |
| response rates | 0.375491 |
| birth certificate | 0.371794 |
| WIC enrollment | 0.471721 |
| poor birth outcomes | 0.360593 |
| higher prevalences | 0.384079 |
| non-Hispanic white women | 0.371539 |
| eligible non-WIC participants | 0.409191 |
| risk | 0.434597 |
| low birth weight | 0.536276 |
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CLICK HERE |
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Centers for Disease Control and Prevention |
Html |
en |
HAN Archive - 00001 - Terrorist Activity Response |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| local laboratory directors | 0.819992 |
| public information officers | 0.803282 |
| unusual occurrence | 0.684104 |
| CDC | 0.664533 |
| access | 0.436626 |
| illnesses | 0.442377 |
| dispatch centers | 0.63928 |
| http://emergency.cdc.gov/ | 0.436505 |
| unusual disease occurrence | 0.90462 |
| numbers | 0.439683 |
| HAN coordinators | 0.643594 |
| hospital emergency departments | 0.832335 |
| units | 0.438674 |
| assistance | 0.437837 |
| international organizations | 0.614004 |
| Health Alert Network | 0.94491 |
| segments | 0.445649 |
| enhances health decisions | 0.828331 |
| Prevention | 0.435932 |
| critical health issues | 0.816258 |
| credible information | 0.635264 |
| Disease Control | 0.62159 |
| possible unusual disease | 0.90057 |
|
| clinician organizations | 0.6327 |
| e-mail | 0.436731 |
| Tuesday | 0.440111 |
| state | 0.485324 |
| surveillance | 0.437183 |
| situation | 0.443079 |
| PM EDT | 0.74463 |
| emergency response | 0.639582 |
| emergency number | 0.631483 |
| website | 0.436592 |
| healthalert | 0.436696 |
| healthy living | 0.614998 |
| patterns | 0.440631 |
| local health officers | 0.833783 |
| message | 0.436546 |
| alert status | 0.672391 |
| people | 0.435847 |
| local public health | 0.861038 |
| biological agents | 0.649329 |
| strong partnerships | 0.616067 |
| current events | 0.652 |
| chemical | 0.440485 |
| cdc.gov | 0.436661 |
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CLICK HERE |
| 13890 |
Centers for Disease Control and Prevention |
Html |
en |
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 |