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CDC's Youth Risk Surveys | CDC Features |
CDC supports adolescent and school health efforts using three state-of-the-art monitoring systems designed to collect, analyze, and disseminate data on youth risk behaviors and school health policies and practices. |
| important public health | 0.236299 |
| minority high school | 0.216269 |
| large urban school | 0.284987 |
| CDC | 0.224674 |
| local youth health | 0.269675 |
| data | 0.244755 |
| priority health risk | 0.457914 |
| United States | 0.23481 |
| school health efforts | 0.292517 |
| health protection efforts | 0.225875 |
| local school health | 0.277643 |
| sexual behaviors | 0.208879 |
| health risk behaviors | 0.947796 |
| negative health outcomes | 0.224148 |
| school health programs | 0.28987 |
| national health objectives | 0.225883 |
| School Health Profiles | 0.32124 |
| urban school districts | 0.281276 |
| youth health risk | 0.449672 |
| School health education | 0.261551 |
| Youth Risk Behavior | 0.332679 |
| health behaviors increase | 0.287851 |
|
| community health organizations | 0.248713 |
| local education agencies | 0.211808 |
| national YRBS data | 0.202863 |
| public health | 0.277205 |
| priority health-related behaviors | 0.245431 |
| school policies | 0.20992 |
| ongoing data collection | 0.202245 |
| lead health education | 0.230285 |
| school health practices | 0.297561 |
| National Youth Risk | 0.215024 |
| high school students | 0.411112 |
| school health program | 0.251594 |
| health agencies | 0.21738 |
| school health policies | 0.897075 |
| U.S. high school | 0.219059 |
| youth risk behaviors | 0.294341 |
| school board members | 0.306479 |
| Risk Behavior Surveillance | 0.255533 |
| unhealthy dietary behaviors | 0.240535 |
| education professionals | 0.201538 |
| health risks | 0.219644 |
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Preventing Chronic Disease | Farmers™ Perceptions of Local Food Procurement, Mississippi, 2013 - CDC |
We sought to understand the experiences and perceptions of food producers regarding food procurement programs for local institutions. A total of 72 (45%) Mississippi fruit and vegetable growers completed a mailed survey, and of those that reported selling to local businesses and institutions (54%), few were selling to schools (13%). The primary motivations to sell to institutions were to increase profits (67%) and to improve nutrition within their communities (57%), while the most commonly reported barrier was a lack of knowledge about how to sell to institutions (39%). Farm to institution programs must develop evidence-based practices designed to address barriers to producers’ participation in local institutional food procurement programs. |
| F2I programs | 0.630291 |
| additional perceived barriers | 0.630257 |
| Mississippi growers | 0.702862 |
| noninstitutional local purchasers | 0.654712 |
| local institutional food | 0.97678 |
| vegetable growers | 0.904202 |
| Disease Control | 0.711309 |
| school | 0.657504 |
| Harvest (http://www.localharvest.org). | 0.656093 |
| MBK Institutional Review | 0.618745 |
| food procurement expand | 0.680233 |
| contact information | 0.65975 |
| commonly reported barrier | 0.632489 |
| Delta Directions | 0.610936 |
| food safety certification | 0.648709 |
| local schools | 0.656816 |
| cross-sectional survey design | 0.635011 |
| local growers | 0.681629 |
| farm-to-school programs | 0.620824 |
| personal contact information | 0.612908 |
| Mississippi Food Policy | 0.677303 |
| F2S programs | 0.627987 |
| food procurement experts | 0.671466 |
| Good Agricultural Practices | 0.61191 |
|
| local food products | 0.691137 |
| local food | 0.7447 |
| Green Mountain Farm | 0.633732 |
| United States | 0.615045 |
| agricultural practices | 0.612603 |
| disease prevention interventions | 0.617374 |
| local businesses | 0.663243 |
| local community | 0.614741 |
| Brother’s Keeper | 0.642809 |
| Mississippi fruit | 0.83462 |
| school food services | 0.653503 |
| local food producers | 0.717454 |
| food producers | 0.757312 |
| Good Handling Practices | 0.611643 |
| local farmers markets | 0.673285 |
| local farmers | 0.673888 |
| institutional food procurement | 0.969135 |
| local institutions | 0.809485 |
| academic school | 0.627011 |
| statewide F2I program | 0.611009 |
| school field trip | 0.628033 |
| Agric Human Values | 0.682134 |
| food procurement programs | 0.978125 |
| local food procurement | 0.70912 |
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Sodium bisulfite - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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| 5768 |
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Html |
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Borates, tetra, sodium salts (Pentahydrate) - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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Html |
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Science Clips - Monday, July 30, 2012 |
null |
| CDC colleagues | 0.527676 |
| disease risk factor | 0.422816 |
| leads Science Clips | 0.489773 |
| National Health Interview | 0.433048 |
| BRFSS data | 0.317848 |
| non-CDC colleagues | 0.329056 |
| CDC Science Clips | 0.769031 |
| Science Clips Production | 0.440537 |
| similar racial disparities | 0.406381 |
| Chief Science Officer | 0.408562 |
| disease burden | 0.327472 |
| American Journal | 0.415507 |
| Survey data | 0.32708 |
| IM Lee | 0.320247 |
| DHHS | 0.30982 |
| national surveillance data | 0.39402 |
| articles section | 0.335297 |
| life expectancy | 0.322548 |
| direct-to-consumer genomic testing | 0.414311 |
| international air travel | 0.39448 |
| CDC licensed materials | 0.575819 |
| Stephen B. Thacker | 0.578579 |
| service organization | 0.30938 |
| primary determinant | 0.313947 |
| SFX window | 0.312196 |
|
| feature articles | 0.3499 |
| meningococcal conjugate vaccine | 0.39942 |
| GA Millett | 0.310047 |
| Diverse globally-focused articles | 0.419073 |
| potentially hazardous exposures | 0.399569 |
| STI prevention issues | 0.431961 |
| public health | 0.399374 |
| county-level STI rates | 0.433681 |
| Science Clips | 0.901996 |
| multiple co-authors | 0.317164 |
| public health literature | 0.393151 |
| SFX server | 0.312682 |
| United Kingdom | 0.309621 |
| B. Thacker CDC | 0.764622 |
| Industrial Medicine | 0.311478 |
| primary care HIV | 0.409334 |
| London Olympics | 0.316677 |
| influenza epidemics | 0.309115 |
| Burkina Faso | 0.311401 |
| John Iskander | 0.314664 |
| CDC author group | 0.61866 |
| major study | 0.322667 |
| vaccine-preventable diseases | 0.315267 |
| Thacker CDC Library | 0.763006 |
|
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Centers for Disease Control and Prevention |
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TB - Basic TB Facts - TB Personal Stories |
Division of Tuberculosis Elimination |
| Danielle | 0.310493 |
| latent TB infection | 0.715648 |
| country | 0.321504 |
| United States | 0.462304 |
| respiratory illness | 0.352125 |
| borders | 0.310153 |
| multidrug-resistant TB | 0.628829 |
| TB disease | 0.750104 |
| Tri | 0.319288 |
| girls | 0.30977 |
| poor health | 0.34645 |
| life-threatening problem | 0.360731 |
| odd lump | 0.352164 |
| Liliana | 0.312359 |
| personal experiences | 0.358395 |
| Rosalie | 0.322163 |
| 13-month-old boy | 0.349635 |
| MDR TB | 0.602197 |
| numerous misdiagnoses | 0.354598 |
| life-saving treatment | 0.354205 |
| high school student | 0.385627 |
| n’t finish treatment | 0.38503 |
| Martha | 0.309726 |
| health screening | 0.351336 |
|
| daughter Faith | 0.346858 |
| young daughters | 0.353062 |
| Bhutan | 0.311235 |
| stories | 0.310562 |
| Mabruka | 0.309662 |
| physical therapist | 0.350042 |
| Francene | 0.313428 |
| multidrug-resistant tuberculosis | 0.350862 |
| loves-playing basketball | 0.348158 |
| people | 0.322036 |
| Esteban | 0.312422 |
| TB | 0.90208 |
| Deo | 0.312488 |
| help | 0.309702 |
| TB meningitis | 0.557601 |
| TB nurse | 0.584589 |
| Video | 0.331851 |
| medical professional | 0.354967 |
| South Africa | 0.350272 |
| peer counselor | 0.350563 |
| infant son | 0.348006 |
| age | 0.319228 |
| Ethiopia | 0.310471 |
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Notes from the Field: Repeat Syphilis Infection and HIVCoinfection Among Men Who Have Sex With Men - Baltimore, Maryland,2010-2011 |
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. |
| City Health Dept | 0.287354 |
| baltimore city | 0.371215 |
| recent syphilis | 0.544631 |
| Alexandra M. Oster | 0.271333 |
| United States | 0.291367 |
| original MMWR paper | 0.27455 |
| Human Services | 0.307539 |
| repeat syphilis infection | 0.937337 |
| new diagnoses | 0.272569 |
| Baltimore County Dept | 0.288697 |
| MMWR HTML versions | 0.271513 |
| CDC Experience Applied | 0.282164 |
| future syphilis | 0.461469 |
| HIV infections | 0.279181 |
| Syphilis case reports | 0.503405 |
| U.S. Government Printing | 0.272847 |
| secondary syphilis | 0.471029 |
| Baltimore City Health | 0.361891 |
| comprehensive prevention services | 0.280651 |
| electronic PDF version | 0.273358 |
| HIV surveillance | 0.285836 |
| syphilis diagnosis | 0.525755 |
| health department staff | 0.299116 |
| HIV transmission | 0.322185 |
|
| Local public health | 0.293819 |
| highest estimated rate | 0.274543 |
| City Health Department | 0.301785 |
| previous syphilis diagnosis | 0.516485 |
| transmitted disease surveillance | 0.278491 |
| repeat infection | 0.314652 |
| HIV prevention efforts | 0.328083 |
| MSM | 0.392696 |
| P&S syphilis cases | 0.538801 |
| sexually transmitted disease | 0.356757 |
| early syphilis cases | 0.521629 |
| recent syphilis diagnosis | 0.507609 |
| Baltimore County | 0.328628 |
| sexually transmitted diseases | 0.277725 |
| Maryland Department | 0.27748 |
| repeat syphilis infections | 0.542365 |
| HIV prevention interventions | 0.32964 |
| Baltimore County Department | 0.303266 |
| metropolitan statistical area | 0.281169 |
| human immunodeficiency virus | 0.28398 |
| syphilis cases | 0.540783 |
| HIV infection | 0.354495 |
| primary syphilis | 0.519771 |
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Disease Detective: Erik - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| Bucket showers | 0.627287 |
| extent | 0.436144 |
| floods | 0.432597 |
| CDC Foundation | 0.612747 |
| fuel | 0.435806 |
| parishioners | 0.440691 |
| Erik | 0.577183 |
| Ebola virus | 0.903499 |
| CDC Emergency Operations | 0.754135 |
| Ebola outbreak | 0.786558 |
| unrelenting grip Ebola | 0.944078 |
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| additional funding | 0.573648 |
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| surprise | 0.436849 |
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| impact | 0.435344 |
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| lack | 0.432291 |
| CDC’s disease | 0.635688 |
| tablets | 0.434234 |
| internet | 0.438302 |
| Generator-based power | 0.618014 |
| deadly virus | 0.607607 |
|
| church | 0.432222 |
| timely reporting | 0.584275 |
| Navy medical officer | 0.713502 |
| communicable diseases | 0.604975 |
| point | 0.459595 |
| Liberian colleagues | 0.610881 |
| thirty-day trip | 0.622512 |
| devastation | 0.437635 |
| society | 0.432592 |
| emotional toll | 0.588382 |
| smartphones | 0.439321 |
| cases | 0.454617 |
| President Obama | 0.576829 |
| everyday life | 0.596882 |
| local health officers | 0.741114 |
| music television | 0.594522 |
| Ebola treatment units | 0.916434 |
| technical capabilities | 0.585598 |
| West Africa | 0.708908 |
| much-needed visibility | 0.598001 |
| response | 0.432094 |
| childcare | 0.432357 |
| sermons | 0.432188 |
| pledge | 0.433802 |
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Announcement: National Chronic Obstructive Pulmonary DiseaseAwareness Month - November 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. |
| United States | 0.298804 |
| original MMWR paper | 0.398212 |
| U.S. Government Printing | 0.390835 |
| Human Services | 0.427461 |
| U.S. Department | 0.421561 |
| MMWR HTML versions | 0.405241 |
| MMWR readers | 0.275954 |
| character translation | 0.261284 |
| electronic PDF version | 0.391902 |
| frequent coughing | 0.292983 |
| deep breath | 0.295972 |
| format errors | 0.265152 |
| National Heart | 0.451413 |
| Contact GPO | 0.302151 |
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| COPD Ca | 0.625296 |
| trade names | 0.271412 |
|
| commercial sources | 0.271268 |
| official text | 0.258924 |
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| current prices | 0.262199 |
| Blood Institute | 0.457781 |
| non-CDC sites | 0.268339 |
| health problems | 0.282039 |
| special equipment | 0.279441 |
| original paper copy | 0.386925 |
| Breathe Better | 0.304237 |
| National COPD Awareness | 0.831023 |
| chronic bronchitis | 0.309545 |
| sputum production | 0.282394 |
| excess phlegm | 0.303831 |
| electronic conversions | 0.259342 |
| obstructive pulmonary disease | 0.478149 |
| printable versions | 0.254362 |
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FastStats - Health of Mexican American Population |
null |
| Summary Health Statistics | 0.82488 |
| Infant Mortality | 0.376668 |
| United States | 0.970365 |
| Final Data | 0.58892 |
| Health Statistics Tables | 0.824611 |
| National Health Interview | 0.82246 |
| Source | 0.685942 |
| poor health | 0.39055 |
| Number | 0.291823 |
| MB | 0.521562 |
| men | 0.340311 |
| KB | 0.299483 |
| deaths | 0.402436 |
|
| obesity | 0.297324 |
| health insurance coverage | 0.510498 |
| Percent | 0.802024 |
| Infant deaths | 0.391756 |
| Table P-11c | 0.362759 |
| Health Interview Survey | 0.822191 |
| live births | 0.389369 |
| high blood pressure | 0.789324 |
| cigarettes | 0.2914 |
| antihypertensive medication | 0.563759 |
| hypertension | 0.284868 |
| U.S. Population | 0.570466 |
|
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