| 715 |
Centers for Disease Control and Prevention |
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Very High Blood Lead Levels Among Adults - United States,2002-2011 |
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. |
| exposure source | 0.53095 |
| Walter A. Alarcon | 0.467563 |
| safe work practices | 0.471914 |
| additional exposure information | 0.459236 |
| lead exposure prevention | 0.498702 |
| high BLLs | 0.995505 |
| Adult Blood Lead | 0.533304 |
| Worker B. Worker | 0.432438 |
| lead-exposed adults | 0.427861 |
| ABLES program coordinators | 0.428636 |
| elevated blood lead | 0.555778 |
| nonoccupationally exposed adults | 0.432452 |
| ТЕg/dL | 0.650711 |
| lower lead exposures | 0.474141 |
| state ABLES programs | 0.50942 |
| adult BLL data | 0.584161 |
| elevated BLLs | 0.519705 |
| OSHA lead standards | 0.761047 |
| high BLL | 0.648109 |
| Worker A. Worker | 0.434919 |
| current OSHA lead | 0.539369 |
| BLLs т‰Ѕ10 ТЕg/dL | 0.599454 |
| work-related lead exposure | 0.495094 |
| adult lead exposure | 0.500819 |
| occupational health clinic | 0.43488 |
|
| recent BLL | 0.521425 |
| reference BLL | 0.58173 |
| CDC reference level | 0.488794 |
| lead exposure | 0.913218 |
| BLL testing | 0.623528 |
| nonoccupational lead exposures | 0.466661 |
| United States | 0.568044 |
| Blood Lead Epidemiology | 0.527475 |
| adults | 0.588945 |
| lead exposure registry | 0.492965 |
| lead exposure hazards | 0.497957 |
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| adverse health effects | 0.561174 |
| Worker C. Worker | 0.430732 |
| lead exposures | 0.551463 |
| public health | 0.487545 |
| harmful BLLs | 0.433928 |
| CDC reference BLL | 0.5622 |
| Health Administration | 0.422074 |
| U.S. national BLL | 0.598256 |
| occupational exposures | 0.424441 |
| BLLs т‰Ѕ60 ТЕg/dL | 0.546862 |
| ABLES programs fosters | 0.42895 |
| occupational lead exposure | 0.596203 |
|
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Centers for Disease Control and Prevention |
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Teen Dating Violence | CDC Features |
February is National Teen Dating Violence Awareness and Prevention Month |
| college | 0.510855 |
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| lifetime | 0.511112 |
| Healthy Teen Relationships | 0.666006 |
| healthy relationships | 0.578988 |
| teen dating violence | 0.984486 |
| Dating Matters® | 0.683589 |
| victims | 0.522085 |
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| sexual intercourse | 0.569823 |
| middle schools | 0.558107 |
| teasing | 0.514966 |
| Dating Matters Capacity | 0.731323 |
| Florida | 0.510643 |
| symptoms | 0.511046 |
| girlfriend | 0.51368 |
| respectful relationships | 0.638597 |
| recent national survey | 0.62401 |
| multiple prevention activities | 0.612515 |
|
| purpose | 0.511857 |
| importance | 0.522624 |
| boyfriend | 0.514046 |
| adults | 0.511241 |
| victimization | 0.513479 |
| teens | 0.6005 |
| unhealthy behaviors | 0.579421 |
| life | 0.511124 |
| burden | 0.51168 |
| adult relationships | 0.566737 |
| Division | 0.510787 |
| Dating Matters grantee | 0.73662 |
| local health departments | 0.6075 |
| current evidence-based practice | 0.613461 |
| higher risk | 0.56157 |
| community partners | 0.560698 |
| CDC demonstration project | 0.617205 |
| online training | 0.559017 |
| resources | 0.511967 |
| youth-serving professionals | 0.560043 |
| Strategies | 0.510757 |
| Dating Violence Awareness | 0.855484 |
| violence prevention model | 0.67409 |
| forms | 0.511672 |
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| 5849 |
Centers for Disease Control and Prevention |
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Vinyl fluoride - 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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| 6344 |
Centers for Disease Control and Prevention |
Html |
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Trends in selected chronic conditions and behavioral risk factors among women of reproductive age, Behavioral Risk Factor Surveillance System, 2001-2009. |
null |
| chronic diabetes | 0.337349 |
| reproductive outcomes | 0.219318 |
| chronic disease risk | 0.267156 |
| high cholesterol | 0.359993 |
| heart disease | 0.201348 |
| smoking | 0.249054 |
| adverse reproductive outcomes | 0.208765 |
| 2001 to 2009 Behavioral Risk Factor Surveillance System | 0.282557 |
| unadjusted prevalence estimate | 0.233434 |
| obesity | 0.241782 |
| estimates | 0.216661 |
| risk factors | 0.865494 |
| current physical inactivity | 0.312586 |
| modifiable risk factors | 0.318949 |
| chronic condition | 0.284912 |
| chronic high blood | 0.518252 |
| reproductive health outcomes | 0.28175 |
| body mass index | 0.246913 |
|
| potentially modifiable risk | 0.23177 |
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| reproductive age | 0.924807 |
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| health care coverage | 0.484524 |
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| risk factor | 0.3254 |
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| physical activity | 0.262403 |
| heavy drinking | 0.487058 |
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| high blood pressure | 0.998863 |
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| chronic disease prevention | 0.303913 |
| physical inactivity | 0.541797 |
| common risk factors | 0.222851 |
|
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| 9171 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Using Empirical Bayes Methods to Rank Counties on Population Health Measures - CDC |
The University of Wisconsin Population Health Institute has published The County Health Rankings since 2010. These rankings use population-based data to highlight variation in health and encourage health assessment for all US counties. However, the uncertainty of estimates remains a limitation. |
| health outcome measure | 0.637796 |
| data | 0.710833 |
| credible intervals | 0.554961 |
| county health rankings | 0.759191 |
| National Health Interview | 0.547659 |
| health outcomes | 0.982422 |
| Self-reported health data | 0.599766 |
| national data sources | 0.551852 |
| Disease Control | 0.569667 |
| national rank performance | 0.546734 |
| Wisconsin Population Health | 0.62515 |
| composite health outcome | 0.583252 |
| empirical bayes estimates | 0.586679 |
| health outcome measures | 0.744453 |
| hierarchical models | 0.688136 |
| single health outcome | 0.546276 |
| encourage health assessment | 0.566467 |
| data sources | 0.558258 |
| poor mental health | 0.61285 |
| health outcome data | 0.606071 |
| Health Statistics | 0.543707 |
| posterior mean ranks | 0.557241 |
| low birth-weight births | 0.551305 |
| community health | 0.584469 |
| extensive demographic covariates | 0.546253 |
|
| premature mortality | 0.655622 |
| demographic covariates | 0.826063 |
| counties | 0.64912 |
| precise county health | 0.590132 |
| Population Health Institute | 0.62945 |
| random effects | 0.637341 |
| in-state county ranks | 0.558604 |
| county-level demographic covariates | 0.567804 |
| posterior samples | 0.77607 |
| Popul Health Metr | 0.599745 |
| public health | 0.57569 |
| health care | 0.543655 |
| rank certainty | 0.551186 |
| county health performance | 0.580666 |
| county-level random effects | 0.561561 |
| health | 0.986367 |
| local health officials | 0.634704 |
| community health assessment | 0.57318 |
| posterior health outcomes | 0.625921 |
| rank precision | 0.616022 |
| posterior rank estimates | 0.613133 |
| confidence intervals | 0.591522 |
| health factors | 0.566527 |
| county rank estimates | 0.632423 |
|
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| 10744 |
Centers for Disease Control and Prevention |
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Report shows 20-year US immunization program spares millions of children from diseases | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| direct response | 0.38355 |
| right thing | 0.346459 |
| Visit Healthcare.govor | 0.349643 |
| total societal costs | 0.48552 |
| vaccination status | 0.377404 |
| Current outbreaks | 0.387216 |
| direct imports | 0.361186 |
| CDC Director Tom | 0.583967 |
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| Affordable Care Act | 0.484642 |
| plane ride | 0.358985 |
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| control health care | 0.495357 |
| CDC officials | 0.460249 |
| direct costs | 0.351411 |
| United States | 0.732563 |
| vaccines | 0.400089 |
| U.S. borders | 0.363399 |
| VFC era | 0.358073 |
| U.S. serve | 0.377613 |
| measles cases | 0.619352 |
| National Infant Immunization | 0.532611 |
| health security | 0.4536 |
|
| significant risk | 0.365672 |
| different strategies | 0.354198 |
| measles vaccine | 0.667405 |
| annual cases | 0.375649 |
| highest number | 0.368151 |
| 20th anniversary | 0.363344 |
| eligible children | 0.367034 |
| health care | 0.646288 |
| international travel | 0.360869 |
| unvaccinated people | 0.370484 |
| health care coverage | 0.490406 |
| highly contagious disease | 0.492916 |
| people | 0.409326 |
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| health care law | 0.495968 |
| VFC program | 0.831111 |
| vaccine coverage | 0.37179 |
| Program Era | 0.399837 |
| costly way | 0.352704 |
| importance immunization | 0.399471 |
| important preventive services | 0.481429 |
| Dr. Frieden | 0.371825 |
| measles | 0.953179 |
| MMR vaccine | 0.399601 |
|
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| 11681 |
Centers for Disease Control and Prevention |
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HAN Archive - 00371 - Evaluating Patients for Possible Ebola Virus Disease: Recommendations for Healthcare Personnel and Health Officials |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| Human Services | 0.312345 |
| Ebola infection | 0.616396 |
| health officials | 0.326933 |
| additional symptoms | 0.311394 |
| Ebola symptoms | 0.617567 |
| Texas Health Presbyterian | 0.42527 |
| muscle pain | 0.363083 |
| exposure risk levels | 0.364973 |
| urgent care centers | 0.390752 |
| potentially infected corpses | 0.375131 |
| direct contact | 0.386662 |
| probable cases | 0.382449 |
| following guidance documents | 0.358686 |
| additional information | 0.382742 |
| Texas Laboratory Response | 0.41028 |
| personal protective equipment | 0.365439 |
| diagnostic testing | 0.364287 |
| ebola virus disease | 0.860399 |
| body fluids | 0.48772 |
| Emergency Operations Center | 0.367578 |
| primary care physicians | 0.39244 |
| infection control specialists | 0.418296 |
| illness onset | 0.404336 |
| Ebola | 0.972712 |
| intensive care physicians | 0.387694 |
|
| elevated body temperature | 0.378885 |
| healthcare personnel | 0.594718 |
| CDC Health Alert | 0.493819 |
| Ebola algorithm | 0.563951 |
| United States | 0.63654 |
| unexplained hemorrhage | 0.382756 |
| infection control | 0.563091 |
| Sierra Leone | 0.507999 |
| local health department | 0.537802 |
| enhances health decisions | 0.385956 |
| abdominal pain | 0.463433 |
| critical health issues | 0.390966 |
| severe headache | 0.47018 |
| travel history | 0.389129 |
| local/state health department | 0.416302 |
| largest Ebola epidemic | 0.678908 |
| Dallas County Health | 0.440055 |
| private bathroom | 0.386307 |
| Infection control personnel | 0.404207 |
| medical care | 0.310857 |
| Liberia | 0.334271 |
| Ebola patient | 0.569224 |
| infectious disease specialists | 0.391275 |
| U.S. health departments | 0.385992 |
|
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Centers for Disease Control and Prevention |
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ATSDR Stories from the Field | CDC Features |
Learn how scientists at ATSDR work around the clock to keep you safe. |
| training course | 0.764293 |
| n’t Mess | 0.758751 |
| water sources | 0.824251 |
| Navajo Nation | 0.94378 |
| uranium mine areas | 0.777503 |
| methyl bromide | 0.942592 |
| fact sheets | 0.755678 |
| contaminated water sources | 0.75773 |
| one-day training course | 0.749771 |
| U.S. Environmental Protection | 0.914877 |
| ATSDR Division | 0.883454 |
| ATSDR Region | 0.794909 |
| Environmental Health Surveillance | 0.83645 |
| Community Health Investigations | 0.949101 |
| uranium mines | 0.791707 |
| Uranium Awareness Training | 0.855683 |
| state health departments | 0.828897 |
| Navajo Nation community | 0.821828 |
| U.S. Virgin Islands | 0.8944 |
| standardized health questionnaire | 0.802938 |
| pest control company | 0.919125 |
| Health Communication | 0.756542 |
| Methyl Bromide Release | 0.855661 |
| ACE team | 0.790988 |
|
| new interactive lesson | 0.74842 |
| Epidemic Intelligence Service | 0.763157 |
| middle school teachers | 0.751495 |
| Community Health Representatives | 0.926083 |
| Generation Science Standards | 0.747929 |
| Navajo Community Health | 0.867949 |
| new uranium awareness | 0.847199 |
| Health Investigations OD | 0.818186 |
| ace program | 0.78811 |
| Human Health Services | 0.834392 |
| public health actions | 0.801792 |
| Indian Health Service | 0.79706 |
| New Mercury Materials | 0.778456 |
| Common Core Language | 0.746947 |
| Virgin Islands Department | 0.770603 |
| highly toxic pesticide | 0.762624 |
| Chemical Exposure | 0.801932 |
| uranium ore | 0.777444 |
| Environmental Protection Agency | 0.912746 |
| possible uranium exposure | 0.870727 |
| Disease Registry | 0.779213 |
| hazardous waste site | 0.775954 |
| Toxic Substances | 0.779281 |
|
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| 14285 |
Centers for Disease Control and Prevention |
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Zika Video Resources |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| CDC | 0.580548 |
| birth defects team | 0.500329 |
| Birth Defects Task | 0.388408 |
| Zika infection | 0.389362 |
| CDC Foundation | 0.438501 |
| video CDC | 0.439145 |
| lab technician | 0.388364 |
| testing adult mosquitoes | 0.419231 |
| Dr. Anne Schuchat | 0.405656 |
| possible Zika virus | 0.531983 |
| technician growing larvae | 0.392799 |
| pregnant women | 0.463578 |
| b-roll footage | 0.531944 |
| RT-PCR Assay kits | 0.400045 |
| Provider Version Spanish | 0.399587 |
| Dr. Titilope Oduyebo | 0.400559 |
| Healthcare Provider Version | 0.444977 |
| latest Zika information | 0.441566 |
| Zika virus exposure | 0.474916 |
| Principal Deputy Director | 0.402186 |
| zika virus response | 0.540949 |
| -Zika Virus Prevention | 0.512297 |
| B-Roll Video Preview | 0.771103 |
| Zika Pregnancy Registry | 0.418589 |
| Dr. Matt Karwowski | 0.403847 |
|
| Trioplex Real-time RT-PCR | 0.473676 |
| head circumference | 0.389023 |
| Dr. Joanne Cono | 0.408838 |
| healthcare providers | 0.402894 |
| Puerto Rico | 0.39284 |
| B-Roll Page | 0.47999 |
| Zika prevention kits | 0.43342 |
| CDC’s guidelines | 0.44797 |
| Provider Version English | 0.395163 |
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| fellow health care | 0.402191 |
| zika virus | 0.925984 |
| Spanish version | 0.414235 |
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| CDC’s Pregnancy | 0.447509 |
| Real-time RT-PCR Assay | 0.474804 |
| CDC scientists | 0.434709 |
| Size B-Roll | 0.61663 |
| CDC Trioplex Real-time | 0.47995 |
| virus response shares | 0.424469 |
| birth defects | 0.505886 |
| B-Roll | B-Roll | 0.736852 |
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| 15394 |
Centers for Disease Control and Prevention |
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Cigarette Consumption and Cigarette Smoking Prevalence AmongAdults in Kansas |
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 prevalence | 0.962429 |
| adult smoking rates | 0.284804 |
| light smoking | 0.229895 |
| overall prevalence | 0.216396 |
| data | 0.372705 |
| annual cigarette consumption | 0.448206 |
| overall smoking prevalence | 0.43578 |
| smoking consumption | 0.253405 |
| Risk Factor Surveillance | 0.31336 |
| tobacco smoking prevalence | 0.322191 |
| mean annual number | 0.278366 |
| smokers | 0.228069 |
| Kansas Behavioral Risk | 0.220171 |
| lung cancer | 0.310353 |
| overall cigarette consumption | 0.240032 |
| mean annual cigarette | 0.314095 |
| Smoking course | 0.254525 |
| men | 0.265302 |
| future lung cancer | 0.26694 |
| Adult Tobacco Survey | 0.202776 |
| Kansas Adult Tobacco | 0.219504 |
| cigarette consumption | 0.617963 |
| current cigarette smoking | 0.344817 |
| annual cigarette smoking | 0.320838 |
|
| Kansas Department | 0.230826 |
| Self-reported smoking prevalence | 0.318612 |
| smoking cessation course | 0.278394 |
| cigarette consumption data | 0.231712 |
| intermittent smoking | 0.272641 |
| response rate | 0.207678 |
| Prevalence rates | 0.204337 |
| cigarette smoking prevalence | 0.828314 |
| Kansas | 0.396502 |
| smoking exposure | 0.23057 |
| smoking category | 0.233374 |
| smoking prevalence data | 0.336882 |
| clean indoor air | 0.221679 |
| self-reported cigarette smoking | 0.290873 |
| Factor Surveillance System. | 0.20685 |
| cigarette smoking questions | 0.285728 |
| overall smoking population | 0.253367 |
| annual consumption | 0.200397 |
| self-reported smoking status | 0.249058 |
| lung cancer incidence | 0.26515 |
| cigarettes | 0.313607 |
| Behavioral Risk Factor | 0.310721 |
| pipe smoking | 0.229136 |
|
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