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Centers for Disease Control and Prevention |
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Radiation Emergencies - Prussian Blue |
Information on prussian blue as possible treatment for internal radiation contamination. Provided by the Centers for Disease Control and Prevention (CDC). |
| stool | 0.239174 |
| pills | 0.238321 |
| bodies | 0.235663 |
| adults | 0.233777 |
| bowel movements | 0.388327 |
| common side effects | 0.356866 |
| 2-12 | 0.233669 |
| body | 0.304692 |
| type | 0.232129 |
| pill | 0.243819 |
| blue feces | 0.376024 |
| drug | 0.233831 |
| pregnant women | 0.381044 |
| children | 0.233702 |
| radioactive contamination | 0.420969 |
| medications | 0.232461 |
| prussian blue | 0.928994 |
| teeth | 0.233887 |
| Prussian blue artist | 0.77294 |
| FDA Website | 0.361961 |
| thallium stay | 0.42547 |
|
| mouths | 0.242004 |
| constipation | 0.291605 |
| radioactive cesium | 0.891513 |
| infants | 0.23694 |
| blockages | 0.244577 |
| biological half-life | 0.390612 |
| medicine | 0.233524 |
| people | 0.451404 |
| food | 0.231731 |
| certain stomach problems | 0.527757 |
| prescription | 0.232739 |
| radiation | 0.232352 |
| contents | 0.231752 |
| radioactive materials | 0.439735 |
| doctors | 0.27391 |
| 500-milligram capsules | 0.406728 |
| Prussian blue traps | 0.92029 |
| ages | 0.235209 |
| detailed information | 0.362726 |
| time | 0.325769 |
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Centers for Disease Control and Prevention |
Html |
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Obesity and Overweight: Topics |
CDC's Obesity efforts focus on policy and environmental strategies to make healthy eating and active living accessible and affordable for everyone. |
| CDC | 0.224275 |
| ECE setting | 0.347647 |
| environmental strategies | 0.318135 |
| U.S. obesity | 0.532243 |
| latest state initiatives | 0.421851 |
| email address | 0.340998 |
| fact sheets | 0.320186 |
| High BMI | 0.355097 |
| active living | 0.318674 |
| Latest statistics | 0.315812 |
| interactive databases | 0.316256 |
| social media tools | 0.420852 |
| Community Efforts | 0.34631 |
| guidelines | 0.21909 |
| state efforts | 0.360293 |
| First-ever report | 0.348175 |
| food service | 0.321438 |
| overweight | 0.230686 |
|
| early childhood care | 0.434866 |
| Obesity Facts Obesity | 0.897257 |
| Flu Complications Adults | 0.506187 |
| groups | 0.22024 |
| Reports | 0.219156 |
| healthy eating | 0.31906 |
| physical activity | 0.317527 |
| Education State Indicator | 0.454847 |
| Obesity Maps Obesity | 0.911379 |
| schools | 0.219301 |
| childhood obesity | 0.584821 |
| Obesity efforts | 0.564242 |
| data systems | 0.316019 |
| prevention strategies | 0.319487 |
| varies | 0.233134 |
| Adult Obesity | 0.671965 |
| page | 0.222842 |
|
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| 7510 |
Centers for Disease Control and Prevention |
Html |
en |
Healthy Housing Reference Manual - Chapter 14 Figures |
NCEH provides leadership to promote health and quality of life by preventing or controlling those diseases, birth defects, or disabilities resulting from interaction between people and the environment. Site has information/education resources on a broad range of topics, including asthma, birth defects, radiation, sanitation, lead in blood, and more. |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 9336 |
Centers for Disease Control and Prevention |
Html |
es |
Factores de riesgo de enfermedades crónicas en mujeres indoamericanas y nativas de Alaska en edad de procrear |
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| Amparo P | 0.957211 |
| Dietz PM | 0.948537 |
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| Farr SL | 0.960591 |
| Estados Unidos | 0.519891 |
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| 9668 |
Centers for Disease Control and Prevention |
Html |
en |
VETERINARY SAFETY AND HEALTH - CDC |
Veterinary medicine and animal care workers are at risk of exposure to many different chemical hazards including glutaraldehyde and other disinfectants, hazardous drugs, latex, pesticides, and waste anesthetic gases. Exposure to these chemicals may occur by dermal contact (touching the skin) and/or inhalation (being breathed in). Splashes may result in chemical contact with the skin, eyes, or mucous membranes. |
| NIOSH Hydrogen Sulfide | 0.708306 |
| Facility Occupational Risks | 0.414933 |
| injectable macrolide antibiotic | 0.281696 |
| NIOSH Waste Anesthetic | 0.757126 |
| Health Topic | 0.271048 |
| AVMA Waste Disposal | 0.313086 |
| State University Center | 0.392046 |
| NIOSH Latex Allergy | 0.707186 |
| Common Cleaning Products | 0.268596 |
| NIOSH Indoor Environmental | 0.810062 |
| NIOSH Workplace | 0.965719 |
| different cleaning products | 0.270767 |
| Pregnant Workers | 0.290576 |
| hazardous drugs | 0.545338 |
| NIOSH Nitrous Oxide | 0.71271 |
| Iowa State University | 0.392093 |
| OSHA Safety | 0.276085 |
| Health Care Workers | 0.663101 |
| NIOSH Workplace Solutions | 0.881862 |
| NIOSH Hazardous Drug | 0.773251 |
| waste anesthetic gases | 0.798392 |
| NIOSH Pocket Guide | 0.803707 |
| NIOSH Workplace Solution | 0.88352 |
| Veterinary Health Care | 0.432991 |
|
| Poison Control Centers | 0.266902 |
| NIOSH Personal Protective | 0.865639 |
| hazardous drug exposures | 0.464375 |
| User Safety Alert | 0.268613 |
| Public Health | 0.275609 |
| EPA Pesticide Health | 0.273952 |
| AVMA Phosphine product | 0.315869 |
| NIOSH respirator selection | 0.685128 |
| Best Management Practices | 0.265778 |
| mucous membranes | 0.301615 |
| different chemical hazards | 0.300027 |
| Personal Protective Equipment | 0.39383 |
| product label precautions | 0.271 |
| Animal Drug Safety | 0.279159 |
| Handling Micotil | 0.26567 |
| New Jersey Department | 0.266035 |
| NIOSH FACE Report | 0.777922 |
| OSHA Laboratory Safety | 0.287131 |
| NIOSH Occupational Exposure | 0.750658 |
| Veterinary Facility Occupational | 0.430035 |
| Publication No. | 0.669375 |
| NIOSH ALERT | 0.638496 |
| CDC Carbon Monoxide | 0.275697 |
| animal care workers | 0.341641 |
|
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| 11892 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Building an Evidence Base for the Co-Occurrence of Chronic Disease and Psychiatric Distress and Impairment - CDC |
Mental disorders and chronic diseases have been reported to independently affect half of the US population. The objective of this study was to evaluate the comorbid nature of these conditions. |
| chronic disease diagnosis | 0.331695 |
| mental health | 0.587138 |
| mental health disorders | 0.402993 |
| AMA PRA | 0.293562 |
| binge drinking | 0.348804 |
| psychological distress | 0.362823 |
| multiple chronic conditions | 0.313173 |
| moderate physical activity | 0.496724 |
| health care delivery | 0.321778 |
| mental illness prevention | 0.291054 |
| health care providers | 0.28878 |
| current smoking | 0.311274 |
| risk factors | 0.30749 |
| Health Policy Research | 0.326083 |
| mental health services | 0.299168 |
| nonspecific psychological distress | 0.287897 |
| chronic disease measures | 0.329732 |
| Health Interview Survey | 0.314513 |
| mental disorders | 0.294234 |
| chronic disease | 0.929873 |
| Preventing Chronic Disease | 0.343426 |
| integrated mental health | 0.313667 |
| chronic disease burden | 0.389016 |
| chronic disease prevention | 0.423231 |
|
| United States | 0.290169 |
| mental health disorder | 0.321257 |
| aggregated chronic disease | 0.324289 |
| mental health promotion | 0.318807 |
| California Health Interview | 0.314516 |
| chronic disease support | 0.314965 |
| chronic disease comorbidity | 0.327676 |
| mental health symptoms | 0.294467 |
| health care | 0.428626 |
| public health | 0.289291 |
| participants | 0.29335 |
| multivariable logistic regression | 0.312952 |
| university health care | 0.289663 |
| chronic diseases | 0.663824 |
| chronic disease count | 0.323201 |
| scale captures impairment | 0.287544 |
| chronic conditions | 0.328247 |
| psychiatric distress | 0.772319 |
| chronic disease status | 0.31585 |
| impairment | 0.409151 |
| health care successes | 0.287569 |
| high blood pressure | 0.286916 |
| chronic disease assessment | 0.31889 |
| primary care | 0.34412 |
|
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| 12516 |
Centers for Disease Control and Prevention |
Video |
en |
MDRO and CDI Module Protocol Changes for 2015 |
This Hot Topic presentation will provide you with updates to reporting on Multidrug-Resistant Organisms, or MDRO, and Clostridium difficile in 2015. This protocol is used for reporting to the National Healthcare Safety Network for the CMS Hospital Inpatient Quality Reporting Program.
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://streaming.cdc.gov/vod.php?id=3e375b09a3d847f6948ba06fcc8ac54b20141119094622562 |
| CDI Module Protocol | 0.99123 |
| MDRO | 0.311476 |
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| 12692 |
Centers for Disease Control and Prevention |
Video |
en |
Salt Matters: Preserving Choice, Protecting Health |
Excessive salt intake has proven to be a major contributor to heart attack and stroke, the first and third leading causes of death in the United States. More than three-quarters of Americans' daily salt intake comes from foods consumed in restaurants and purchased in grocery stores. Our "Salt Matters: Preserving Choice, Protecting Health" video outlines ways to help Americans make healthier food choices with lower salt content.
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/cdctv/SaltMatters5 |
| Choice | 0.810708 |
| Health | 0.588299 |
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| 13823 |
Centers for Disease Control and Prevention |
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Prediabetes - Could It Be You? |
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| 16215 |
Centers for Disease Control and Prevention |
Html |
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Disparities in the Prevalence of Diagnosed Diabetes - UnitedStates, 1999-2002 and 2011-2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| physician-diagnosed diabetes | 0.397585 |
| poor dietary habits | 0.361299 |
| lowest prevalence | 0.367697 |
| low socioeconomic circumstances | 0.40765 |
| socioeconomic position gap | 0.458186 |
| regression-based summary measure | 0.417031 |
| health equity | 0.361073 |
| overall population | 0.440615 |
| diabetes risk reduction | 0.361088 |
| health disparities | 0.397562 |
| socioeconomic position indicator | 0.544903 |
| relative socioeconomic position | 0.428446 |
| substantial socioeconomic position | 0.44798 |
| absolute socioeconomic position | 0.435748 |
| absolute differences | 0.404708 |
| income-to-poverty ratio | 0.356883 |
| age-standardized prevalence | 0.490257 |
| educational disparities | 0.416227 |
| racial/ethnic populations | 0.355037 |
| socioeconomic groups | 0.404802 |
| socioeconomic disadvantage | 0.407345 |
| U.S. adult population | 0.375013 |
| socioeconomic subgroups | 0.385849 |
| IPR disparities | 0.433479 |
|
| self-reported physician-diagnosed diabetes | 0.387378 |
| socioeconomic advantage | 0.386131 |
| federal poverty level | 0.3953 |
| summary measure | 0.419062 |
| lowest diabetes prevalence | 0.401003 |
| educational attainment | 0.382976 |
| socioeconomic position indicators | 0.431388 |
| prevalence estimates | 0.363006 |
| percentage points | 0.356838 |
| prevalence | 0.530988 |
| IPR-related prevalence disparities | 0.434938 |
| diabetes prevalence | 0.477054 |
| absolute educational disparities | 0.403768 |
| socioeconomic position group | 0.425428 |
| absolute disparities | 0.396844 |
| public health | 0.358095 |
| socioeconomic position | 0.968844 |
| socioeconomic position domain | 0.418711 |
| age-standardized diagnosed diabetes | 0.386797 |
| U.S. population | 0.358465 |
| socioeconomic position groups | 0.427563 |
| socioeconomic patterning | 0.380817 |
| absolute difference | 0.373223 |
| absolute prevalence differences | 0.389491 |
|
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