| 6620 |
Centers for Disease Control and Prevention |
Html |
null |
Organ Systems and the Chemicals that Affect Them - Neurological Nervous System |
The nervous system receives and sends signals throughout the body to control bodily functions. The nervous system consists of the central nervous system (brain and spinal cord) and peripheral nervous system (nerve fibers that attach to and lie outside the brain and spinal cord). The nervous system has two components, motor (efferent) and sensory (afferent), that carry information from and to, respectively, the central nervous system. |
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| 9551 |
Centers for Disease Control and Prevention |
Html |
en |
Measles - United States, January 1-August 24, 2013 |
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. |
| High MMR vaccine | 0.458962 |
| North Carolina | 0.447646 |
| largest outbreak | 0.477096 |
| measles importations | 0.540967 |
| CDC | 0.458883 |
| global measles control | 0.553666 |
| Alternate Text | 0.46143 |
| measles immunity | 0.559293 |
| measles elimination | 0.633866 |
| New York City | 0.536117 |
| Routine MMR vaccination | 0.483132 |
| unvaccinated persons | 0.495092 |
| large outbreaks | 0.460577 |
| Import-associated cases | 0.449225 |
| measles outbreaks | 0.583559 |
| direct epidemiologic link | 0.446679 |
| measles virus | 0.549977 |
| epidemiologic link | 0.452784 |
| timely vaccination | 0.450696 |
| U.S resident patients | 0.446149 |
| World Health Organization | 0.450505 |
| patients | 0.453302 |
| rapid public health | 0.471027 |
| persons | 0.523722 |
| measles case | 0.531237 |
|
| high MMR vaccination | 0.485531 |
| public health response | 0.472982 |
| febrile rash illness | 0.488467 |
| high vaccination coverage | 0.480901 |
| directly imported cases | 0.469554 |
| United States | 0.975644 |
| MMR vaccine coverage | 0.494074 |
| 2-dose MMR vaccine | 0.457753 |
| measles data | 0.547279 |
| measles cases | 0.667144 |
| measles vaccine | 0.526947 |
| unknown measles vaccination | 0.591242 |
| U.S. cases | 0.466402 |
| local health departments | 0.448353 |
| public health | 0.489635 |
| suspect measles | 0.530869 |
| U.S. residents | 0.446819 |
| cases | 0.704305 |
| European Region | 0.479418 |
| standard case definition.* | 0.447922 |
| highest numbers | 0.447855 |
| unknown vaccination status | 0.62948 |
| median annual number | 0.491277 |
| measles | 0.809599 |
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| 10657 |
Centers for Disease Control and Prevention |
Html |
en |
Stress at Work - NIOSH Workplace Safety and Health Topic |
null |
| work team | 0.213343 |
| searchable bibliographic database | 0.319468 |
| stress disorders | 0.313557 |
| Stress Video | 0.343827 |
| NIOSH program | 0.574258 |
| U.S. occupational safety | 0.376751 |
| health research | 0.222216 |
| Occupational Research Agenda | 0.422726 |
| NIOSH job stress | 0.949862 |
| Work Booklet | 0.2064 |
| research program | 0.220607 |
| health subsumes | 0.204302 |
|
| health community | 0.2007 |
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| NIOSH external partners | 0.667794 |
| research agenda | 0.517413 |
| DHHS | 0.20517 |
| Publication No. | 0.557353 |
| NIOSH report | 0.506893 |
| national research agenda | 0.396225 |
| comprehensive research agenda | 0.339293 |
| research topics | 0.219563 |
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| 10666 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Testing the Effectiveness of an Abbreviated Version of the Nutrition Detectives Program - CDC |
Obese or overweight children have an increased risk for chronic diseases. Targeting diet and exercise in schools could help prevent childhood obesity. We have previously shown the effectiveness of a 90-minute nutrition program in improving elementary school students’ food-label literacy. The objective of this study was to investigate the effectiveness of a 45-minute version of the program. |
| healthful food choices | 0.684217 |
| school health services | 0.253891 |
| public school district | 0.277737 |
| ingredient lists | 0.322701 |
| original Nutrition Detectives | 0.287414 |
| nutrition knowledge | 0.26487 |
| food label literacy | 0.328832 |
| school | 0.537709 |
| condensed Nutrition Detectives | 0.287702 |
| parental consent | 0.301432 |
| Prevention Research Center–Griffin | 0.248602 |
| food products | 0.39505 |
| full-length Nutrition Detectives | 0.263122 |
| healthful food products | 0.274488 |
| food-label literacy scores | 0.549011 |
| 90-minute nutrition program | 0.421119 |
| 90-minute program | 0.516196 |
| District Wellness Committee | 0.382483 |
| 5th-grade students | 0.355618 |
| 90-minute Nutrition Detectives | 0.315625 |
| schools | 0.542622 |
| 45-minute version | 0.276048 |
| school district | 0.32497 |
| elementary school students | 0.448081 |
| study | 0.334059 |
|
| academic achievement | 0.352662 |
| Nutrition Detectives | 0.982395 |
| original 90-minute program | 0.350419 |
| NHPS District Wellness | 0.285697 |
| students | 0.681995 |
| Food Label Quiz | 0.408404 |
| teacher training | 0.258093 |
| percentage points | 0.652138 |
| 45-minute lesson | 0.509955 |
| unpublished feasibility study | 0.280607 |
| Independence School District | 0.314298 |
| Nutrition Detectives lesson | 0.819548 |
| 45-minute Nutrition Detectives | 0.300465 |
| program materials | 0.289148 |
| condensed nutrition program | 0.30546 |
| University Prevention Research | 0.247384 |
| Research Center–Griffin Hospital | 0.247391 |
| primary outcome measure | 0.282883 |
| Nutrition Detectives program | 0.681331 |
| childhood obesity | 0.254348 |
| magnet schools | 0.250883 |
| food-label literacy | 0.769903 |
| minority students | 0.311573 |
| Nutrition Facts panels | 0.515485 |
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| 10869 |
Centers for Disease Control and Prevention |
Html |
en |
Indoor Air Quality at Nine Large-Hub Airports With and Without Designated Smoking Areas — United States, October–November 2012 |
Secondhand smoke (SHS) exposure causes death and disease among nonsmoking adults and children (1). Adopting policies that completely prohibit smoking in all indoor areas is the only effective way to eliminate involuntary SHS exposure (1). Among the 29 large-hub U. |
| average RSP level | 0.34354 |
| general public | 0.273902 |
| average number | 0.365543 |
| indoor air quality | 0.331526 |
| smoker density | 0.420968 |
| burning cigarettes | 0.367407 |
| de-identified airports | 0.308068 |
| seating sections | 0.313457 |
| state smoke-free laws | 0.295411 |
| passenger boarding | 0.305774 |
| Washington Dulles International | 0.276277 |
| air monitor | 0.300972 |
| large-hub airports | 0.363461 |
| Fort Lauderdale-Hollywood International | 0.276269 |
| respirable suspended particulates | 0.274826 |
| indoor smoking areas | 0.415656 |
| SHS leakage | 0.305037 |
| smoking-permitted areas | 0.928142 |
| smoking rooms | 0.320975 |
| average smoker density | 0.310588 |
| smoking areas | 0.77604 |
| Lake City International | 0.27655 |
| smoking behavior | 0.290415 |
| airports | 0.587694 |
|
| risk-free level | 0.278277 |
| nonsmoking areas | 0.39826 |
| SHS exposure | 0.578545 |
| observed PM2.5 levels | 0.377464 |
| indoor areas | 0.383896 |
| adjacent areas | 0.314958 |
| large-hub U.S. airports | 0.51607 |
| Sky Harbor International | 0.274212 |
| smoking-permitted bars | 0.279581 |
| adjacent smoking-permitted areas | 0.372161 |
| Public Health | 0.334605 |
| involuntary SHS exposure | 0.383321 |
| comprehensive smoke-free laws | 0.295638 |
| average level | 0.465563 |
| smoke-free airports | 0.483966 |
| related health problems | 0.27209 |
| large smoking-permitted areas | 0.320122 |
| smoke-free policies | 0.336833 |
| PM2.5 levels | 0.48516 |
| smoking-restricted areas | 0.272756 |
| average PM2.5 level | 0.701507 |
| Hartsfield-Jackson Atlanta International | 0.277421 |
| gate seating sections | 0.271603 |
| airport authority levels | 0.282244 |
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| 10984 |
Centers for Disease Control and Prevention |
Html |
en |
EID News Synopsis: July 2014 | CDC Media Relations |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| poorer neighborhoods | 0.642938 |
| Infectious Disease journal | 0.762816 |
| carbapenemase-producing organisms | 0.650192 |
| carbapenem-resistant infections | 0.627505 |
| lower socioeconomic status | 0.794351 |
| CDC study | 0.701287 |
| North America | 0.628829 |
| injection anthrax cases | 0.821958 |
| South Korea | 0.62539 |
| heroin users | 0.639464 |
| prior hospitalization | 0.626915 |
| anthrax-contaminated heroin | 0.730993 |
| Imperial College London | 0.723537 |
| socioeconomic groups | 0.681492 |
| hadler-epi@att.net  | 0.642008 |
| foodborne gastrointestinal illness | 0.783567 |
| Western College | 0.626024 |
| New Haven | 0.636029 |
| Chinese grocery store | 0.737839 |
| highest risk | 0.640053 |
| Infectious Diseases | 0.775624 |
| HUMAN SERVICES | 0.624083 |
| select group | 0.629806 |
| relatively new form | 0.727453 |
| United States | 0.764171 |
|
| Emerging Infections Program | 0.746223 |
| Veterinary Medicine | 0.627231 |
| Carbapenem-resistant organisms | 0.647129 |
| routine testing | 0.628051 |
| higher socioeconomic status | 0.795015 |
| carbapenemase-producing organism | 0.733998 |
| antimicrobial drug resistance | 0.778292 |
| public health journal | 0.786155 |
| antibiotic resistance | 0.63567 |
| U.S. DEPARTMENT | 0.624185 |
| public health emergency | 0.748932 |
| public health | 0.915766 |
| Joseph E. Rubin | 0.733628 |
| previously known risks | 0.729101 |
| James L. Hadler | 0.749307 |
| heroin-associated anthrax | 0.790525 |
| Control efforts | 0.630211 |
| Yale School | 0.630564 |
| widespread risk | 0.636195 |
| contaminated food. | 0.631185 |
| recent global emergence | 0.742197 |
| p.m. EDT | 0.666371 |
| urgent need | 0.628992 |
| socioeconomic status | 0.864578 |
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| 11017 |
Centers for Disease Control and Prevention |
Html |
en |
Meningococcal | Photos | CDC |
Meningococcal Photos - WARNING: Some of these photos might be unsuitable for children. Viewing discretion is advised. |
| bacterium | 0.463264 |
| old female | 0.694007 |
| meningococcemia | 0.374963 |
| hands | 0.408789 |
| throat | 0.362367 |
| asymptomatic male | 0.634963 |
| normal flora | 0.58451 |
| diplococcal bacteria | 0.565013 |
| lower extremities | 0.567536 |
| urethra | 0.395515 |
| healthy people | 0.54932 |
|
| photomicrograph | 0.380463 |
| blood infection | 0.561759 |
| gangrene | 0.462225 |
| micrograph | 0.37852 |
| pathogenic organism | 0.60526 |
| Mag. 1150X | 0.550723 |
| presence | 0.353388 |
| large percentage | 0.578904 |
| aerobic Gram-negative Neisseria | 0.914478 |
| meningococcus | 0.38883 |
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| 11569 |
Centers for Disease Control and Prevention |
Html |
en |
NER - Peer-Reviewed Biomonitoring Articles | Perchlorate |
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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| 14416 |
Centers for Disease Control and Prevention |
Html |
en |
STD Facts - Congenital Syphilis |
Congenital Syphilis - STD Information from CDC. Facts, Statistics, Treatment, and Other Resources. |
| unusual physical symptoms | 0.47817 |
| positive syphilis tests | 0.674637 |
| major health impacts | 0.500429 |
| health outcomes | 0.447998 |
| Association (ASHA) | 0.483365 |
| congenital syphilis cases | 0.689015 |
| sexual history | 0.484051 |
| National Prevention Information | 0.477424 |
| future checkup | 0.449198 |
| untreated syphilis | 0.659622 |
| American Sexual Health | 0.481859 |
| nerve problems | 0.448423 |
| syphilis blood test | 0.678111 |
| overall health | 0.447421 |
| pregnancy | 0.497813 |
| health problems | 0.56155 |
| honest conversation | 0.536159 |
| Research Triangle Park | 0.476638 |
| appropriate testing recommendations | 0.474297 |
| Yes. Syphilis | 0.64602 |
| STD testing | 0.482931 |
| women | 0.450195 |
| CS rates | 0.508294 |
| treatment | 0.528853 |
|
| unborn baby | 0.45327 |
| infection | 0.488512 |
| syphilis symptoms | 0.64804 |
| sex partners | 0.482435 |
| United States | 0.501025 |
| congenital syphilis | 0.753096 |
| P. O. Box | 0.476824 |
| babies | 0.484065 |
| Skin rashes | 0.449944 |
| multiple sex partners | 0.476846 |
| sharp increase | 0.49746 |
| CS cases | 0.508171 |
| Public health professionals | 0.492844 |
| health care | 0.452036 |
| health complications | 0.447922 |
| prenatal visit | 0.574251 |
| best advice | 0.483859 |
| Low birth weight | 0.49239 |
| syphilis | 0.947375 |
| CS | 0.701501 |
| doctor | 0.544705 |
| baby | 0.582497 |
| baby’s health | 0.469193 |
| risk | 0.451734 |
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| 14635 |
Centers for Disease Control and Prevention |
Html |
en |
National Occupational Exposure Survey Field Guidelines (88-106) |
null |
| data collection guidelines | 0.568494 |
| survey data | 0.334172 |
| list Skip | 0.824957 |
| survey procedures | 0.332441 |
|
| page options Skip | 0.969598 |
| presents historical information | 0.605707 |
| NOES surveyors | 0.402949 |
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