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Centers for Disease Control and Prevention |
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Methyl isopropyl ketone - NIOSH Pocket Guide to Chemical Hazards |
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| PDF | 0.261307 |
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| DOC | 0.368812 |
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| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
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Disease Detectives - CDC Works For You 24/7 |
CDC Works For You 24/7 Saving Lives - CDC's Disease Detectives: Global Health Sleuths Battle Contagion Worldwide; In Steven Soderbergh's new thriller Contagion, to be released September 9, Dr Erin Mears, played by Kate Winslet, is a disease detective, racing to help stop the lethal devastation unleashed by an unknown, airborne virus. |
| practice | 0.338463 |
| study | 0.338366 |
| global health sleuths | 0.833458 |
| health threats | 0.555319 |
| actress Kate Winslet | 0.875692 |
| real–life scientists | 0.570433 |
| steely determination | 0.605578 |
| program | 0.368242 |
| statisticians | 0.362769 |
| individuals | 0.339451 |
| epidemiologists | 0.380236 |
| unknown | 0.349454 |
| veterinarians | 0.347873 |
| epidemiology | 0.345577 |
| disease outbreak | 0.610963 |
| character | 0.344454 |
| EIS officers | 0.626512 |
| Steven Soderbergh′s | 0.593474 |
| laboratorians | 0.34245 |
| event | 0.341759 |
| nation′s | 0.339369 |
| health professionals | 0.912832 |
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| epidemiologic skills | 0.567184 |
| lives | 0.339521 |
| grit | 0.367931 |
| dedication | 0.351814 |
| lethal devastation | 0.6386 |
| key questions | 0.549887 |
| CDC′s front lines | 0.542955 |
| staff | 0.343207 |
| airborne virus | 0.598047 |
| people | 0.370791 |
| insurmountable odds | 0.578873 |
| disease detective | 0.604473 |
| face | 0.339901 |
| CDC′s Epidemic Intelligence | 0.753297 |
| service | 0.366172 |
| doctors | 0.340891 |
| unique two–year | 0.538826 |
| Dr Erin Mears | 0.887002 |
| populations | 0.343575 |
| 24/7 | 0.33958 |
| on–the–job training | 0.710513 |
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Centers for Disease Control and Prevention |
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CDC issues initial 2011-2012 seasonal "FluView" report - Press Release: October 14, 2011 |
CDC issues initial 2011-2012 seasonal “FluView” report |
| United States year–round | 0.363198 |
| United States | 0.913749 |
| influenza related illness | 0.556085 |
| respiratory viruses | 0.229058 |
| flu activity | 0.465961 |
| annual flu vaccine | 0.656295 |
| influenza disease | 0.390375 |
| body′s immune response | 0.365204 |
| comprehensive situational awareness | 0.311761 |
| Disease Control | 0.210433 |
| influenza illness | 0.529516 |
| dose flu shot | 0.532297 |
| influenza activity | 0.816327 |
| nasal spray vaccine | 0.437387 |
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| Joe Bresee | 0.283771 |
| CDC FluView Report | 0.374868 |
| flu vaccinations | 0.376679 |
| U.S. record | 0.211125 |
| year′s vaccine | 0.309024 |
| CDC′s Influenza Epidemiology | 0.569884 |
| flu viruses | 0.428311 |
| non–pregnant healthy people | 0.312831 |
| flu shot | 0.622224 |
| seasonal flu shot | 0.528808 |
| influenza viruses | 0.520376 |
| perfect time | 0.202665 |
| regular flu shot | 0.524882 |
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Centers for Disease Control and Prevention |
Html |
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Una evaluación observacional del entorno para peatones y ciclistas en todo el estado Hawái, 2010 |
CDC - Wide Page example description goes here |
| Safe Routes | 0.433217 |
| statewide observational assessment | 0.772145 |
| Brunner IM | 0.474316 |
| Zhang M | 0.440341 |
| Estados Unidos | 0.914924 |
| Maddock JE | 0.465163 |
| Heinrich KM | 0.451607 |
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| Complete Streets | 0.463456 |
| entornos peatonales peds | 0.642897 |
| Ramirez V | 0.440979 |
| baja capacidad | 0.926263 |
| Environmental Data Scan | 0.649222 |
| cycling environment | 0.478535 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Disability Status as an Antecedent to Chronic Conditions: National Health Interview Survey, 2006"2012 - CDC |
A strong relationship exists between disability and poor health. This relationship could exist as a result of disabilities emerging from chronic conditions; conversely, people with disabilities may be at increased risk of developing chronic conditions. Studying health in relation to age of disability onset can illuminate the extent to which disability may be a risk factor for future poor health. |
| lifelong old-age problems | 0.562612 |
| data | 0.62996 |
| disability | 0.744378 |
| National Health Interview | 0.586142 |
| lifelong disabilities | 0.875783 |
| health service utilization | 0.552252 |
| NHIS data | 0.558068 |
| analyses | 0.571281 |
| health conditions | 0.566607 |
| future poor health | 0.558089 |
| logistic regression | 0.556856 |
| limitations | 0.622464 |
| health care professionals | 0.567364 |
| Health Interview Survey | 0.586092 |
| physical disability | 0.551824 |
| health status | 0.550815 |
| following chronic conditions | 0.585884 |
| common health conditions | 0.563886 |
| new health problems | 0.551787 |
| disability onset | 0.679293 |
| limitation | 0.584901 |
| adult chronic conditions | 0.575089 |
| lifelong disability onset | 0.59065 |
| United States | 0.578677 |
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| early disability onset | 0.563483 |
| Sample Adult file | 0.590174 |
| lifelong limitations | 0.563139 |
| disability data source | 0.557782 |
| poor health | 0.592378 |
| disability status | 0.566344 |
| public health | 0.555741 |
| lifelong disability | 0.671703 |
| sample adult | 0.596127 |
| disability populations | 0.556039 |
| health | 0.695462 |
| future health risk | 0.550988 |
| people | 0.733398 |
| lifelong disability variable | 0.584467 |
| risk factor | 0.571183 |
| chronic conditions | 0.982281 |
| lifelong conditions | 0.567312 |
| preventable health problems | 0.577863 |
| health promotion efforts | 0.608254 |
| disability likely increases | 0.558828 |
| coronary heart disease | 0.750017 |
| health risks | 0.564591 |
| mental disability | 0.552156 |
| age | 0.578645 |
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Centers for Disease Control and Prevention |
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Vaccination with Tetanus, Diphtheria, and AcellularPertussis Vaccine of Pregnant Women Enrolled in Medicaid -Michigan, 2011-2013 |
Michelle Housey, MPH1,2, Fan Zhang, PhD3, Corinne Miller, DDS, PhD1, Sarah Lyon-Callo, MA, MS1, Jevon McFadden, MD1,4, Erika Garcia, MS1, Rachel Potter, DVM1 (Author affiliations at end of text). |
| Medicaid administrative claims | 0.664605 |
| pregnancy status | 0.379923 |
| maternal age | 0.745893 |
| prenatal vaccination | 0.402921 |
| information system data | 0.368757 |
| significant difference | 0.421024 |
| vaccination coverage | 0.561289 |
| pregnant women | 0.713089 |
| Hispanic women | 0.460066 |
| maternal race/ethnicity | 0.437054 |
| Tdap | 0.816842 |
| gestational age | 0.525344 |
| privately insured population | 0.369776 |
| pregnancy | 0.61323 |
| Kotelchuck index | 0.364157 |
| publicly insured population | 0.369716 |
| prenatal care | 0.537671 |
| white women | 0.661047 |
| complete vaccination histories | 0.479846 |
| particularly vulnerable population | 0.383485 |
| optimal vaccination time | 0.511701 |
| women | 0.944241 |
| vaccination | 0.851344 |
| maternal vaccination | 0.50267 |
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| median maternal age | 0.451358 |
| Michelle Housey | 0.363775 |
| administrative claims data | 0.490571 |
| privately insured women | 0.413232 |
| Native American women | 0.637955 |
| vaccination administration | 0.412919 |
| publicly insured Medicaid | 0.392304 |
| Tdap vaccination history | 0.512872 |
| privately insured infants.* | 0.383527 |
| entire study population | 0.374812 |
| ACIP recommendation | 0.396126 |
| maternal Medicaid | 0.454773 |
| publicly insured women | 0.424124 |
| Tdap dose | 0.397948 |
| maternal antibodies | 0.377978 |
| study population | 0.545449 |
| maternal race | 0.510735 |
| Tdap coverage | 0.422354 |
| influenza vaccination | 0.392108 |
| publicly funded insurance | 0.364057 |
| ACIP recommendations | 0.38861 |
| significant predictors | 0.448816 |
| statewide immunization information | 0.676392 |
| Tdap vaccination | 0.682051 |
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Centers for Disease Control and Prevention |
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Announcement: World Stroke Day - October 29, 2014 |
This year on World Stroke Day (October 29), the World Stroke Organization is launching a global campaign focusing on women and stroke. More women than men die from stroke each year (1). Stroke is the second leading cause of death for persons aged >60 years and the third leading cause of disability-adjusted life-years worldwide (2,3). |
| CDC | 0.499755 |
| health insurance | 0.436918 |
| Human Services | 0.530121 |
| U.S. Department | 0.531082 |
| MMWR HTML versions | 0.52034 |
| electronic PDF version | 0.522859 |
| High blood pressure | 0.550556 |
| World Stroke Organization | 0.826494 |
| regional mortality | 0.423926 |
| stroke awareness | 0.668708 |
| additional information | 0.608456 |
| Contact GPO | 0.438621 |
| commercial sources | 0.420399 |
| age groups | 0.424119 |
| American Heart Association | 0.538184 |
| Healthy lifestyle changes | 0.524937 |
| multiple ways | 0.435299 |
| PCNASP funds | 0.433089 |
| original paper copy | 0.515739 |
| WISEWOMAN program | 0.467261 |
| National Acute Stroke | 0.775745 |
| Global Burden | 0.546764 |
| heart attacks | 0.434024 |
| in-hospital care | 0.447207 |
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| United States | 0.443986 |
| original MMWR paper | 0.528743 |
| U.S. Government Printing | 0.523482 |
| Disease Study | 0.53646 |
| Medicaid Services | 0.436988 |
| MMWR readers | 0.425333 |
| emergency medical services | 0.551158 |
| World Stroke | 0.872193 |
| heart disease | 0.546087 |
| care provider | 0.439468 |
| Million Hearts initiative | 0.562214 |
| Roger VL | 0.43082 |
| chronic diseases | 0.427384 |
| typeset documents | 0.420243 |
| global campaign | 0.454316 |
| trade names | 0.420464 |
| official text | 0.42116 |
| stroke | 0.931402 |
| risk factor | 0.435273 |
| fast treatment | 0.430043 |
| non-CDC sites | 0.419261 |
| disability-adjusted life-years | 0.444648 |
| et al | 0.674685 |
| Disability-adjusted life | 0.421839 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | A Comparison of CardiometabolicRisk Factors in Households in Rural Uganda With and Without aResident With Type 2 Diabetes, 2012-2013 - CDC |
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. |
| diabetic household | 0.558175 |
| Diabetes Educ | 0.348227 |
| diabetic households | 0.959742 |
| diabetes knowledge | 0.364261 |
| household residents | 0.347765 |
| household knowledge | 0.340432 |
| risk factor profile | 0.400978 |
| international physical activity | 0.378159 |
| favorable cardio-metabolic risk | 0.354134 |
| private households | 0.377569 |
| undiagnosed diabetes | 0.378391 |
| risk factors | 0.493142 |
| World Health Organization | 0.455722 |
| T2D | 0.43228 |
| diabetes diagnosis | 0.358505 |
| Indian Diabetes Prevention | 0.371322 |
| diabetes education | 0.370322 |
| cardio-metabolic diseases | 0.419427 |
| Diabetes Prevention Study | 0.407216 |
| household members | 0.373939 |
| Diabetes Metab Disord | 0.36341 |
| Diabetes Study | 0.361671 |
| diabetes mellitus | 0.341089 |
| nondiabetic household meeting | 0.362339 |
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| diabetes care | 0.427367 |
| diabetes patients | 0.362245 |
| cardio-metabolic risk factor | 0.407723 |
| household diabetes status | 0.517627 |
| International Diabetes Foundation | 0.364513 |
| International Diabetes Federation | 0.420672 |
| Diabetes Res Clin | 0.406566 |
| Kagando Hospital | 0.388727 |
| diabetes incidence | 0.339848 |
| household level | 0.357184 |
| risk factor | 0.412093 |
| physical activity | 0.485827 |
| nondiabetic household | 0.480675 |
| diabetes clinic | 0.476766 |
| Diabetes Prevention Program | 0.389307 |
| diabetes clinic consultations | 0.386369 |
| diabetes-related knowledge | 0.549951 |
| et al | 0.471674 |
| nondiabetic households | 0.800946 |
| diabetic household vs | 0.405799 |
| diabetes risk factors | 0.404286 |
| diabetes | 0.733179 |
| Finnish Diabetes Prevention | 0.390777 |
| weekly diabetes clinic | 0.389966 |
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CDC Wins Hermes Gold Award for Mobile Game Targeting Health Disparate Populations |
CDC Wins Hermes Gold Award for Mobile Game Targeting Health Disparate Populations - CDC
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Resources for Healthcare Providers | Chikungunya virus |
Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| CDC Yellow Book | 0.609572 |
| Dr. Tyler | 0.345387 |
| list Skip | 0.714563 |
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| Medscape Commentary | 0.372781 |
| page options Skip | 0.901498 |
| Chikungunya | 0.222176 |
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