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Centers for Disease Control and Prevention |
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Chemical Weapons Elimination - Program Overview |
The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program and protects worker and public health from potential exposure to stockpiled and nonstockpiled chemical agents. |
| CDC | 0.360242 |
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| Chemical Weapons Convention | 0.427108 |
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| agent disposal equipment | 0.410028 |
| Reviews biweekly reports | 0.366811 |
| air monitoring equipment | 0.365952 |
| nonstockpile chemical warfare | 0.47139 |
| nerve agents | 0.393233 |
| CDC’s role | 0.352483 |
| supercritical water oxidation | 0.36789 |
| weapons elimination program | 0.382429 |
| required readiness demonstrations | 0.365614 |
| chemical weapons | 0.571452 |
| chemical agent disposal | 0.537916 |
| chemical disposal facility | 0.442666 |
| di-2-chloroethyl sulfide | 0.342824 |
| CAS | 0.352997 |
| chemical weapons elimination | 0.469921 |
| safe disposal | 0.373569 |
| agent disposal facility | 0.502017 |
| Agent Disposal Facilities | 0.421401 |
| U.S. Chemical Warfare | 0.487794 |
| chemical warfare agent | 0.757438 |
| disposal methods | 0.371874 |
| public health effects | 0.376484 |
| ethyl N,N-dimethyl phosphoroamidocyanidate | 0.376285 |
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Centers for Disease Control and Prevention |
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Key Facts About Protecting Yourself After a Volcanic Eruption'Volcanoes |
Information on volcanoes and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| hot gases | 0.759228 |
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| flashfloods | 0.461705 |
| lava | 0.50078 |
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| fast-moving flows | 0.908449 |
| ash | 0.487914 |
| debris | 0.599981 |
| attention | 0.46965 |
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| toxic gases | 0.812348 |
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| situation | 0.479041 |
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| 10681 |
Centers for Disease Control and Prevention |
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Personal Reflections - Rima F. Khabbaz, MD |
Severe acute respiratory syndrome (SARS) is a viral respiratory illness caused by a coronavirus, called SARS-associated coronavirus (SARS-CoV). |
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| National Center | 0.265029 |
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| CDC leadership | 0.311878 |
| World Health Organization | 0.247512 |
| CDC response | 0.339775 |
| SARS | 0.777163 |
| public health officials | 0.295155 |
| international public health | 0.286141 |
| global public health | 0.372708 |
| International Health Regulations | 0.348948 |
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| CDC staffer | 0.307989 |
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| large CDC team | 0.3539 |
| outbreak risk communication | 0.230644 |
| SARS cases | 0.490218 |
| Hong Kong | 0.285613 |
| Dr. Khabbaz | 0.445258 |
| SARS Epidemiology | 0.359671 |
| subsequent SARS cases | 0.402749 |
| public health community | 0.370028 |
| CDC SARS response | 0.661055 |
| public health emergency | 0.287539 |
| CDC technical information | 0.374172 |
| local health departments | 0.261805 |
| public health | 0.905098 |
| SARS daily reports | 0.412349 |
| potential public health | 0.274958 |
| CDC scientists | 0.315152 |
| CDC laboratory | 0.31145 |
| new International Health | 0.275004 |
| public health capacity | 0.29421 |
| private healthcare providers | 0.221921 |
| SARS infection | 0.369379 |
| SARS outbreak | 0.579918 |
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| 10973 |
Centers for Disease Control and Prevention |
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Key Finding - National Profile | Tourette Syndrome |
null |
| adequate mental health | 0.460593 |
| Tourette Syndrome | 0.670992 |
| mental health | 0.515001 |
| National Profile | 0.395984 |
| Behavioral Pediatrics1 | 0.392526 |
| greater healthcare needs | 0.452268 |
| Disease Control | 0.393704 |
| children | 0.78796 |
| neurobehavioral conditions | 0.636911 |
| previous studies | 0.381363 |
| average age | 0.380781 |
| medical home | 0.455488 |
| unmet mental healthcare | 0.45812 |
| Additional information | 0.37792 |
| parenting aggravation | 0.388084 |
| frustration | 0.395526 |
| severe TS | 0.597154 |
| national surveys | 0.378715 |
| co-occurring neurobehavioral conditions | 0.535735 |
| Tourette Syndrome Association | 0.466534 |
| Comprehensive Behavioral Intervention | 0.440002 |
| higher parents | 0.378213 |
| recent study | 0.377775 |
| school problems | 0.596243 |
| Resource Center | 0.379704 |
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| behavior problems | 0.376572 |
| parents | 0.38789 |
| effective coordination | 0.461851 |
| Children’s Health | 0.439126 |
| chronic health conditions | 0.725011 |
| specific health conditions | 0.485417 |
| co-occurring conditions | 0.562387 |
| national survey | 0.553039 |
| health services | 0.385211 |
| Public Health Practice | 0.455599 |
| visit CDC | 0.382056 |
| school functioning | 0.468257 |
| larger role | 0.380298 |
| attention-deficit/hyperactivity disorder | 0.392986 |
| vocal tics | 0.401677 |
| medical care | 0.42955 |
| old children | 0.416128 |
| previous recommendations2,3 | 0.378429 |
| healthcare provider | 0.390389 |
| TS impacts | 0.564973 |
| healthcare needs | 0.532938 |
| education professionals | 0.377081 |
| multiple communities | 0.376638 |
| national survey data | 0.440074 |
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Centers for Disease Control and Prevention |
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NER - Peer-Reviewed Biomonitoring Articles | Metals: Cadmium |
null |
| MPEG | 0.378858 |
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| PDF | 0.261307 |
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| DOC | 0.368812 |
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| 12159 |
Centers for Disease Control and Prevention |
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Meningitis | Lab Manual | Antimicrobial Susceptibility Testing | CDC |
Primary Culture and Presumptive Identification Laboratory Methods. |
| disk diffusion zone | 0.42863 |
| data | 0.400173 |
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| QC strains | 0.492257 |
| MIC QC limits | 0.401729 |
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| antimicrobial agents | 0.600738 |
| CLSI document | 0.420447 |
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| Mueller-Hinton agar | 0.533132 |
| mic interpretive standards | 0.445834 |
| Société Française | 0.417585 |
| kirby-bauer disk diffusion | 0.7615 |
| Antimicrobial gradient test | 0.416371 |
| dilution susceptibility testing | 0.432084 |
| susceptibility testing methods | 0.444848 |
| McFarland turbidity standard | 0.423033 |
| chocolate agar plate | 0.414196 |
| gradient strips | 0.536049 |
| quality control | 0.456415 |
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| antibiotic susceptibility patterns | 0.40848 |
| diffusion zone diameter | 0.424282 |
| susceptibility test medium | 0.408714 |
| antimicrobial gradient strip | 0.420681 |
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| H. influenzae | 0.649222 |
| room temperature | 0.418456 |
| Laboratory Standards Institute | 0.524001 |
| susceptibility test methods | 0.4162 |
| plate | 0.418604 |
| N. meningitidis | 0.450975 |
| Antimicrobial susceptibility program | 0.453164 |
| disk diffusion method | 0.41497 |
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| antimicrobial susceptibility tests | 0.488996 |
| antimicrobial gradient strips | 0.513689 |
| public health | 0.41896 |
| CLSI | 0.449094 |
| antimicrobial susceptibility testing | 0.941197 |
| Disk Susceptibility Tests | 0.429367 |
| West Valley Road | 0.431553 |
| susceptibility testing responsibilities | 0.429235 |
| susceptibility data | 0.398846 |
| QC strain | 0.542472 |
| inoculum | 0.440755 |
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| disk diffusion | 0.792862 |
| interpretive standards | 0.469984 |
| antibiotic susceptibility testing | 0.416955 |
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Centers for Disease Control and Prevention |
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Brain Injury Safety Tips and Prevention | HEADS UP | CDC Injury Center |
null |
| high school | 0.903985 |
| athletes proper techniques | 0.424195 |
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| health care provider | 0.472457 |
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| rules | 0.360056 |
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| contact | 0.364166 |
| concussion symptom reporting | 0.452795 |
| concussion symptoms | 0.453159 |
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| athletes proper takedown | 0.382533 |
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| concussion education | 0.406624 |
| athletes | 0.605249 |
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| fair play | 0.523789 |
| good condition | 0.65836 |
| concussion rates | 0.417689 |
| concussion | 0.71324 |
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| concussion information | 0.418516 |
| high school baseball | 0.372724 |
| proper fielding techniques | 0.384639 |
| Athletes May Try | 0.36861 |
| States High School | 0.367826 |
| game | 0.388069 |
| possible concussion | 0.546731 |
| school ice hockey | 0.451851 |
| high school soccer | 0.39987 |
| hazards | 0.354558 |
| High School Athletics | 0.364272 |
| helmet | 0.36119 |
| Culture Around Concussion | 0.404487 |
| high school athletes | 0.540176 |
| sportsmanship | 0.366954 |
| high school ice | 0.451565 |
| padding | 0.359496 |
| potential concussion | 0.409504 |
| young athletes | 0.438386 |
| safe sport culture | 0.356216 |
| concussion law | 0.40294 |
| youth sports coach | 0.355921 |
| high school football | 0.414018 |
| Sports-Related Concussions | 0.388795 |
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Centers for Disease Control and Prevention |
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Patterns of Chronic Conditions and Their Associations WithBehaviors and Quality of Life, 2010 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| health care spending | 0.486083 |
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| poor health outcomes | 0.483207 |
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| yearly household income | 0.548815 |
| predominantly mental health | 0.515571 |
| National health agencies | 0.480768 |
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| chronic conditions | 0.99997 |
| physical activity | 0.506262 |
| PROMIS mental health | 0.502935 |
| health status | 0.487009 |
| latent class | 0.576161 |
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| respondents | 0.485927 |
| latent classes | 0.541225 |
| mental health care | 0.497048 |
| physical conditions | 0.485394 |
| mental health scales | 0.482971 |
| physical health conditions | 0.581048 |
| mental health conditions | 0.777637 |
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Centers for Disease Control and Prevention |
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Preventing Falls Among Older Adults | CDC Features |
We all want to protect our older family members and help them stay safe, secure, and independent. Knowing how to reduce the risk of falling, a leading cause of injury, is a step toward this goal. |
| CDC.gov Current Features | 0.906892 |
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| 14407 |
Centers for Disease Control and Prevention |
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Using Small-Area Estimation to Calculate the Prevalence ofSmoking by Subcounty Geographic Areas in King County, Washington,Behavioral Risk Factor Surveillance System, 2009-2013 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| smoking rates | 0.398963 |
| smoking prevalence rates | 0.397542 |
| data | 0.518676 |
| census tracts | 0.780352 |
| multiple imputation | 0.568715 |
| Risk Factor Surveillance | 0.424642 |
| Prev Chronic Dis | 0.413524 |
| King County HRAs | 0.391962 |
| King County sample | 0.418574 |
| nearest intersection question | 0.446671 |
| BRFSS data | 0.398013 |
| zip codes | 0.504769 |
| single census tract | 0.443148 |
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| census blocks | 0.403175 |
| sample size | 0.570247 |
| census tract level | 0.670387 |
| HRA levels | 0.39096 |
| hierarchical Bayesian models | 0.411333 |
| SAE census tract | 0.446261 |
| respondents | 0.396025 |
| King County BRFSS | 0.401269 |
| census geographic units | 0.42468 |
|
| census tract | 0.968157 |
| Behavioral Risk Factor | 0.423721 |
| direct estimation method | 0.401084 |
| small area estimation | 0.512294 |
| nearest intersection | 0.504123 |
| direct estimation | 0.497156 |
| zip code | 0.456015 |
| King County health | 0.406471 |
| percentage points | 0.566048 |
| health reporting areas | 0.418623 |
| county-level data mask | 0.394999 |
| census block-group level | 0.404099 |
| small sample size | 0.4549 |
| census tract-level analysis | 0.408981 |
| public health | 0.424579 |
| smoothed estimates | 0.408054 |
| census tract estimates | 0.45436 |
| census tract smoking | 0.441774 |
| smoothed–multiple imputation methods | 0.390919 |
| imputation methods | 0.439214 |
| small-area estimation | 0.439233 |
| single imputation methods | 0.39866 |
| census block-group–based areas | 0.42234 |
| King County | 0.780165 |
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