| 5467 |
Centers for Disease Control and Prevention |
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N-Nitrosodimethylamine - 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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| 6515 |
Centers for Disease Control and Prevention |
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Prevention Strategies for Seasonal and Influenza A (H3N2)v in Health Care Settings |
Prevention Strategies for A (H3N2) variant Influenza in Health Care Settings - CDC |
| United States | 0.393017 |
| transmission characteristics | 0.389751 |
| limited protection | 0.378388 |
| seasonal influenza viruses | 0.683811 |
| result | 0.31388 |
| number | 0.315866 |
| seasonal influenza transmission | 0.779312 |
| infection control guidance | 0.456767 |
| H3N2v virus | 0.562165 |
| health care workers | 0.449806 |
| infections control principles | 0.474068 |
| health care providers | 0.457868 |
| special note | 0.380555 |
| health care | 0.608797 |
| effectiveness | 0.327987 |
| seasonal vaccines | 0.578136 |
| influenza season | 0.51004 |
| seasonal influenza | 0.977163 |
| current seasonal vaccines | 0.53189 |
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| Additional information | 0.375859 |
| genes | 0.31612 |
| web site | 0.377301 |
| greatest risk | 0.376119 |
| patients | 0.328789 |
| swine origins | 0.396161 |
| H3N2v viruses | 0.387462 |
| Prevention Strategies | 0.374396 |
| critical step | 0.381706 |
| Current CDC data | 0.467271 |
| best tool | 0.377668 |
| health care settings | 0.560239 |
| Detected | 0.32896 |
| influenza prevention | 0.510399 |
| U.S. Human Infections | 0.491926 |
| Case Count | 0.392652 |
| humans | 0.313761 |
| H3N2v virus infections | 0.509654 |
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| 6584 |
Centers for Disease Control and Prevention |
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en |
Malaria Vaccine Trial: Behind the Scenes in Kenya | About | CDC |
In 2008, CDC malaria expert Dr. Mary Hamel learned that the Malaria Vaccine Institute was looking for leading research institutions in Africa to conduct Phase III clinical trials of the world’s most advanced malaria candidate vaccine, RTS,S/AS01. Recognizing that CDC’s nearly 30 years of collaboration on malaria research with the Kenya Medical Research Institute (KEMRI), would uniquely qualify it for serving as vaccine trial site, she told herself: 'We must apply.' |
| African countries—Burkina Faso | 0.593896 |
| close collaborative relationship | 0.580506 |
| study | 0.417925 |
| Phase | 0.419165 |
| Public Health Collaboration | 0.597027 |
| sites | 0.416818 |
| western Kenya | 0.650434 |
| RTS,S/AS01 | 0.420235 |
| Gabon | 0.425801 |
| outpatient visits | 0.50303 |
| world | 0.437711 |
| Mozambique | 0.420932 |
| hospital admissions | 0.501621 |
| Malawi | 0.420767 |
| Malaria Vaccine Institute | 0.90157 |
| clinical trials | 0.523384 |
| place | 0.416836 |
| deaths | 0.419426 |
| Field Station | 0.501367 |
| Northern academic partners | 0.588396 |
| young African children | 0.596932 |
| leading research institutions | 0.635345 |
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| diseases | 0.416977 |
| Dr. Hamel | 0.532358 |
| Ghana | 0.418883 |
| community | 0.418473 |
| people | 0.417612 |
| Kenya Medical Research | 0.686553 |
| larger mission | 0.502323 |
| TB | 0.422169 |
| malaria research | 0.770818 |
| leading African research | 0.596846 |
| vaccine trial site | 0.700121 |
| KEMRI/CDC Research | 0.510934 |
| prospect | 0.418875 |
| Anopheles | 0.425782 |
| transmit malaria | 0.674785 |
| children’s lives | 0.510118 |
| frequent cause | 0.502185 |
| Dr. Mary Hamel | 0.649348 |
| CDC/KEMRI Kenya Research | 0.636421 |
| Tanzania—from | 0.416712 |
| CDC malaria expert | 0.847333 |
| time | 0.41856 |
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| 6625 |
Centers for Disease Control and Prevention |
Html |
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Chemical Class - Dioxins, Furans, PCBs contain phenyl rings of carbon atoms |
Dioxins, furans, and polychlorinated biphenyls (PCBs) are a class of similar chlorinated aromatic organic compounds. Dioxins have two phenyl rings connected by two oxygen atoms. Furans have one or two phenyl rings connected to a furan ring. |
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| 7724 |
Centers for Disease Control and Prevention |
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Vital Signs: HIV Infection, Testing, and Risk Behaviors Among Youths - United States |
Background: In 2009, 6.7% of the estimated 1.1 million persons living with human immunodeficiency virus (HIV) infection in the United States were youths (defined in this report as persons aged 13–24 years); more than half of youths with HIV (59. |
| new HIV infections | 0.941167 |
| injection drug | 0.420001 |
| male-to-male sexual contact | 0.555171 |
| newly infected youths | 0.323985 |
| risk behaviors | 0.405452 |
| HIV prevention | 0.400481 |
| HIV progression | 0.33657 |
| transmission category | 0.296255 |
| blacks/African Americans | 0.430884 |
| higher HIV prevalence | 0.366867 |
| urban school districts | 0.368981 |
| acute HIV infection | 0.37821 |
| primary HIV infection | 0.370063 |
| Youth Risk Behavior | 0.369978 |
| community-level HIV prevention | 0.350264 |
| HIV risk behaviors | 0.396509 |
| high risk youths | 0.314883 |
| behavioral HIV interventions | 0.357496 |
| sexual intercourse | 0.381303 |
| HIV prevention services | 0.360573 |
| males | 0.369624 |
| HIV risk | 0.42316 |
| persons | 0.358574 |
| Routine HIV testing | 0.359972 |
|
| new HIV infection | 0.391063 |
| large urban school | 0.371795 |
| United States | 0.408921 |
| youths | 0.467499 |
| National HIV Surveillance | 0.44174 |
| HIV diagnosis | 0.404266 |
| hiv incidence surveillance | 0.405317 |
| HIV prevention education | 0.356613 |
| HIV transmission | 0.340135 |
| public health | 0.304059 |
| HIV acquisition | 0.340209 |
| HIV risk factor.** | 0.38623 |
| recent HIV seroconversion | 0.345962 |
| black/African American youths | 0.321983 |
| high school students | 0.415925 |
| early HIV diagnosis | 0.360478 |
| HIV care | 0.332951 |
| HIV risk factors | 0.402754 |
| 9th–12th grade students | 0.335498 |
| HIV prevention interventions | 0.361602 |
| HIV testing | 0.49219 |
| Risk Behavior Surveillance | 0.301322 |
| young MSM | 0.349147 |
| sexual health services | 0.306677 |
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Centers for Disease Control and Prevention |
Html |
en |
Flu Partner Success Stories: National Association of School Nurses (NASN) |
Partnership success stories, National Association of School Nurses (NASN) - CDC |
| success story | 0.461172 |
| National Foundation | 0.375966 |
| Vax | 0.236593 |
| school-age children | 0.382417 |
| following points | 0.367247 |
| monthly influenza updates | 0.615068 |
| school nurse | 0.372346 |
| NIVW | 0.229333 |
| new blogger | 0.423998 |
| future events | 0.351036 |
| NASN Director | 0.394001 |
| seasonal influenza | 0.92936 |
| uptake | 0.245289 |
| IAC | 0.238473 |
| public health partner | 0.550256 |
| important role | 0.369223 |
| pKids | 0.317996 |
| additional resources | 0.356525 |
| mission | 0.229839 |
| Infectious Diseases | 0.496719 |
| NASN Seasonal Influenza | 0.893013 |
| support | 0.229399 |
| school nurses | 0.539632 |
| NASN electronic digest | 0.513265 |
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| important public health | 0.504629 |
| Seasonal Influenza webpage | 0.639704 |
| Nursing Education | 0.366999 |
| students | 0.229598 |
| Include contact information | 0.49187 |
| contact Nichole Bobo | 0.562538 |
| Moms | 0.230226 |
| Seasonal Influenza web | 0.651723 |
| Nichole Bobo | 0.594981 |
| academic success | 0.390911 |
| guest bloggers | 0.366405 |
| hour-long blogger briefing | 0.713019 |
| seasonal influenza vaccine | 0.717431 |
| National Influenza Vaccination | 0.690898 |
| school nursing | 0.397689 |
| blog post | 0.363157 |
| Immunization Action Coalition | 0.516139 |
| Acceptable file formats | 0.478876 |
| influenza educational campaign | 0.616181 |
| National Association | 0.392088 |
| Deb Pontius | 0.383173 |
| specialty practice | 0.386255 |
| NFID | 0.251364 |
| flu season | 0.637371 |
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Centers for Disease Control and Prevention |
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Varicella Death of an Unvaccinated, Previously HealthyAdolescent - Ohio, 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. |
| Haemophilus influenzae type | 0.464045 |
| County Health Dept | 0.463731 |
| noninvasive mechanical ventilation | 0.462989 |
| healthy persons | 0.598899 |
| varicella deaths | 0.653469 |
| Multiple chest radiographs | 0.461983 |
| severe varicella | 0.749407 |
| vital statistics records | 0.466858 |
| respiratory distress syndrome | 0.466129 |
| vaccination status | 0.478716 |
| generalized petechial rash | 0.466258 |
| varicella vaccine | 0.913022 |
| intravenous acyclovir | 0.514849 |
| school-entry vaccination requirements | 0.508523 |
| high-risk preexisting conditions | 0.462108 |
| blood cultures | 0.48412 |
| herpes zoster disease | 0.463312 |
| respiratory function | 0.46933 |
| varicella incidence | 0.657336 |
| unvaccinated healthy persons | 0.474472 |
| potentially severe complications | 0.505917 |
| routine health-care provider | 0.51168 |
| catch-up vaccination | 0.606225 |
| varicella vaccination requirement | 0.696644 |
| severe complications | 0.613425 |
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| older children | 0.495804 |
| increasingly labored breathing | 0.462603 |
| severe disease | 0.503389 |
| Intravenous acyclovir therapy | 0.468079 |
| varicella vaccination | 0.852697 |
| direct fluorescent antibody | 0.461334 |
| varicella death | 0.666641 |
| mechanical ventilation | 0.46851 |
| United States | 0.532194 |
| respiratory tract colonization | 0.464514 |
| varicella vaccination entry | 0.690995 |
| varicella vaccination program | 0.69933 |
| Ohio Department | 0.465176 |
| health-care provider visits | 0.50458 |
| self-limited disease | 0.471227 |
| varicella vaccination school-entry | 0.69303 |
| white blood cell | 0.465713 |
| health-care–acquired bacterial colonization | 0.461144 |
| varicella | 0.92859 |
| routine vaccination | 0.489895 |
| routine childhood immunization | 0.468276 |
| varicella-related hospitalizations | 0.469314 |
| varicella immunity | 0.619796 |
| age-appropriate vaccination | 0.476865 |
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Preventing Chronic Disease | Relationship Between Child CareCenters' Compliance With Physical Activity Regulations andChildren's Physical Activity, New York City, 2010 - CDC |
Physical activity may protect against overweight and obesity among preschoolers, and the policies and characteristics of group child care centers influence the physical activity levels of children who attend them. We examined whether children in New York City group child care centers that are compliant with the city’s regulations on child physical activity engage in more activity than children in centers who do not comply. |
| licensed child care | 0.384568 |
| child care centers | 0.860355 |
| Eat Well Play | 0.382694 |
| data collectors | 0.438645 |
| Prev Chronic Dis | 0.394009 |
| District Public Health | 0.402364 |
| group child care | 0.642693 |
| New York City | 0.552337 |
| children’s levels | 0.385246 |
| NYC DOHMH | 0.515726 |
| classroom components | 0.384852 |
| child care | 0.948983 |
| child physical activity | 0.388207 |
| children | 0.609897 |
| technical assistance | 0.412691 |
| PA levels | 0.392518 |
| outdoor play space | 0.541498 |
| total PA | 0.553349 |
| public health | 0.404206 |
| child-level PA | 0.388956 |
| Care Food Program | 0.409003 |
| children’s MVPA | 0.436934 |
| center component | 0.440062 |
| total PA regulation | 0.412184 |
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| play space availability | 0.418824 |
| NYC child care | 0.399492 |
| outdoor play spaces | 0.399012 |
| children’s PA | 0.392251 |
| Child care policies | 0.383195 |
| classroom component | 0.430078 |
| data collection | 0.436936 |
| preschool-aged children | 0.41881 |
| unstructured PA events | 0.383585 |
| physical activity | 0.687857 |
| PA | 0.667175 |
| York City Department | 0.394457 |
| unstructured PA | 0.437625 |
| center evaluation component | 0.384802 |
| child care center | 0.422622 |
| compliance | 0.431248 |
| complete data | 0.413457 |
| regulations | 0.406717 |
| accelerometry data | 0.400611 |
| time | 0.462067 |
| early child care | 0.416719 |
| Adult Care Food | 0.409847 |
| MVPA | 0.631025 |
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| 13554 |
Centers for Disease Control and Prevention |
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en |
Protective Actions for Radiation Emergencies - Food and Water Safety | Video |
After a radiation emergency, food and water sources may become contaminated with radioactive material. Consuming contaminated food and water will cause radioactive material to get inside your body, but you can eliminate or reduce the amount of contamination by taking a few precautions. Other videos focused on protective actions for radiation emergencies can be found here: http://emergency.cdc.gov/radiation/protectiveactions.asp
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/wcms/videos/low-res/NCEH/2015/food_and_water_safety_922294.mp4 |
| Protective Actions | 0.87267 |
| Radiation Emergencies | 0.907583 |
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| YouTube | 0.675849 |
| Water Safety | 0.727953 |
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| 15842 |
Centers for Disease Control and Prevention |
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Testing Pregnant Women |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Pregnant WomenError processing | 0.971766 |
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