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Radiation and Pregnancy: A Fact Sheet for the Public |
Instructions for specific groups (like nursing mothers, pregnant women, those with compromised immune systems) on how to respond to a radiation emergency. Provided by the Centers for Disease Control and Prevention (CDC). |
| additional questions | 0.420815 |
| healthy adults | 0.459903 |
| CRC staff | 0.602808 |
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| sealable container | 0.446025 |
| warm water | 0.436101 |
| Infants | 0.330682 |
| source | 0.326701 |
| radiation exposure | 0.994824 |
| internal contamination | 0.444334 |
| additional attention | 0.445232 |
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| nursing mothers | 0.683085 |
| children | 0.330357 |
| medical attention | 0.456617 |
| supplies | 0.325944 |
| immune systems | 0.464704 |
| radioactive material | 0.448063 |
| contact | 0.378266 |
| additional information | 0.436444 |
| health care | 0.434248 |
| community reception center | 0.572385 |
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| area | 0.326897 |
| out-of-the-way place | 0.442372 |
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| pregnancy | 0.354135 |
| breast milk | 0.57811 |
| plastic bag | 0.436233 |
| groups | 0.328437 |
| people | 0.358206 |
| food | 0.326687 |
| www.cdc.gov/info | 0.325676 |
| doctor | 0.412007 |
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| clean towel | 0.443154 |
| Formula containers | 0.435438 |
| risks | 0.358021 |
| radiation emergency | 0.645087 |
| healthcare provider | 0.432666 |
| baby | 0.354551 |
| appropriate attention | 0.435266 |
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| health effects | 0.59777 |
| fetus | 0.336946 |
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Health Literacy - Key Activities in the Development of the National Action Plan to Improve Health Literacy |
Many organizations – public and private, large and small – contributed to the development of the National Action Plan. Some key activities from 1999 to 2010 brought national attention to limited health literacy as an issue, generated information and created the momentum for a plan. |
| diverse perspectives | 0.435218 |
| American Medical Association | 0.48038 |
| Health Outcomes | 0.463652 |
| evidence report | 0.439764 |
| Adult Literacy | 0.560813 |
| Human Services | 0.47675 |
| Participants | 0.412869 |
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| U.S. Department | 0.476849 |
| promising practices | 0.439098 |
| New York City | 0.469433 |
| multiple drafts | 0.43915 |
| local organizations | 0.438631 |
| End Confusion | 0.442997 |
| public health consequences | 0.493185 |
| social services | 0.43855 |
| National Institutes | 0.445207 |
| ongoing funding announcement | 0.471436 |
| Medicine Roundtable | 0.444838 |
| U.S. Surgeon General | 0.473063 |
| 2010 identifies limited health literacy as a public health | 0.799674 |
| health literacy | 0.964589 |
| Ad Hoc Committee | 0.47996 |
| NAAL | 0.411142 |
| English-speaking adults | 0.482667 |
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| key activities | 0.446679 |
| Scientific Affairs | 0.443703 |
| Health Literacy Workgroup | 0.621298 |
| health literacy research | 0.618161 |
| national attention | 0.450881 |
| health literacy skills | 0.615742 |
| National Assessment | 0.445726 |
| town hall meetings | 0.470647 |
| limited health literacy | 0.825167 |
| Quality | 0.413685 |
| 1-day meetings | 0.439818 |
| private sector organizations | 0.469774 |
| Workshop | 0.412886 |
| Healthy People | 0.48352 |
| St. Louis | 0.437747 |
| Improving Health Literacy | 0.608012 |
| Healthcare Research | 0.479595 |
| health literacy-related objectives | 0.500669 |
| Agency | 0.413702 |
| health literate society | 0.488523 |
| improvement | 0.41281 |
| Surgeon General | 0.477183 |
| issues Health Literacy | 0.625642 |
| information needs | 0.437859 |
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Announcement: Response to the Advisory Committee on Childhood Lead Poisoning Prevention Report, Low Level Lead Exposure Harms Children: A Renewed Call for Primary Prevention |
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. |
| mmwrq@cdc.gov. | 0.356649 |
| Human Services | 0.600271 |
| assistive technology | 0.358103 |
| 97.5th percentile | 0.344975 |
| U.S. Department | 0.590679 |
| MMWR HTML versions | 0.442519 |
| Exposure Harms Children | 0.48185 |
| electronic PDF version | 0.430393 |
| ACCLPP report | 0.366337 |
| U.S. children | 0.363083 |
| lead-exposure prevention | 0.353286 |
| laboratory capability | 0.337303 |
| intervention strategies | 0.336434 |
| Contact GPO | 0.354992 |
| ACCLPP recommendations | 0.36058 |
| commercial sources | 0.33236 |
| current prices | 0.328542 |
| original paper copy | 0.436373 |
| reference value | 0.438079 |
| adverse effects | 0.352394 |
| U.S. Government Printing | 0.451188 |
| original MMWR paper | 0.437883 |
| CDC focus priorities | 0.526733 |
| MMWR readers | 0.338933 |
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| adverse health effects | 0.472763 |
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| Advisory Committee | 0.346156 |
| policy changes | 0.339804 |
| Low Level Lead | 0.516469 |
| practical implications | 0.339747 |
| primary prevention | 0.46995 |
| lead level distribution | 0.496851 |
| poisoning prevention efforts | 0.47715 |
| new scientific knowledge | 0.468913 |
| format errors | 0.326303 |
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| level guidance | 0.349762 |
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| typeset documents | 0.33298 |
| trade names | 0.33245 |
| best guidance | 0.330615 |
| paper copy | 0.444246 |
| blood lead level | 0.851705 |
| non-CDC sites | 0.33137 |
| new technical developments | 0.468293 |
| new blood lead | 0.514773 |
| childhood lead poisoning | 0.731085 |
| lead poisoning prevention | 0.729176 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0136 |
The existence of racial/ethnic disparities among active-duty Air Force members, despite equal access to free health care, indicates that premilitary health risks continue after enlistment. |
| health care practices | 0.325826 |
| active-duty members | 0.359615 |
| higher prevalence | 0.440221 |
| lower prevalence | 0.412944 |
| lowest prevalence | 0.299113 |
| clinically significant disparities | 0.284086 |
| members | 0.393922 |
| non-Hispanic white counterparts | 0.361975 |
| administrative data | 0.328569 |
| multivariate logistic regression | 0.270197 |
| asthma | 0.280484 |
| hypertension prevalence | 0.340152 |
| non-Hispanic black members | 0.375151 |
| significantly lower prevalence | 0.349774 |
| chronic disease prevalence | 0.40717 |
| significantly higher prevalence | 0.343989 |
| racial/ethnic disparities | 0.362618 |
| highest prevalence | 0.295711 |
| age range | 0.289432 |
| non-Hispanic blacks | 0.887762 |
| USAF Clinical Informatics | 0.280557 |
| dyslipidemia | 0.290531 |
| Air Force | 0.423019 |
| overall prevalence | 0.579866 |
| active-duty member | 0.277667 |
|
| NHANES IV workforce | 0.283246 |
| prevalence | 0.672224 |
| active-duty USAF members | 0.32459 |
| Indian/Alaska Native members | 0.285394 |
| health care | 0.865249 |
| lowest overall prevalence | 0.344468 |
| workforce study | 0.283027 |
| preventive health care | 0.326645 |
| chronic diseases | 0.772822 |
| free health care | 0.328378 |
| active duty | 0.282911 |
| minority racial/ethnic group | 0.263953 |
| ethnic disparities | 0.373241 |
| comprehensive health care | 0.265224 |
| preventive health assessment | 0.363348 |
| consistent racial/ethnic disparities | 0.310255 |
| American Indian/Alaska Native | 0.460544 |
| health care access | 0.268034 |
| racial/ethnic health disparities | 0.328317 |
| logistic regression models | 0.272309 |
| non-Hispanic whites | 0.930795 |
| diabetes | 0.354567 |
| High Blood Pressure | 0.263672 |
| health disparities | 0.434979 |
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ADHD - Data and Statistics |
ADHD is one of the most common neurobehavioral disorders of childhood. It is usually first diagnosed in childhood and often lasts into adulthood. Children with ADHD have trouble paying attention, controlling impulsive behaviors (may act without thinking about what the result will be), and in some cases, are overly active. |
| similar-aged children | 0.24646 |
| CDC | 0.221323 |
| American Academy | 0.245129 |
| single ADHD treatment | 0.348729 |
| commercial employer | 0.241009 |
| children | 0.538483 |
| year-old children | 0.246883 |
| young children | 0.34845 |
| Attention-Deficit/Hyperactivity Disorder | 0.255136 |
| state | 0.261127 |
| parent report | 0.509751 |
| medication treatment | 0.287863 |
| Read article | 0.271632 |
| text version | 0.244724 |
| treatment patterns | 0.289716 |
| parent surveys | 0.259495 |
| ADHD diagnosis | 0.389694 |
| behavioral treatment | 0.241704 |
| special health care | 0.351765 |
| page | 0.210589 |
| Read key findings | 0.94638 |
| higher rates | 0.248768 |
| health care needs | 0.273636 |
| ADHD | 0.720711 |
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| American Psychiatric Association | 0.292054 |
| United States | 0.246325 |
| behavior therapy | 0.34824 |
| mental health counseling | 0.277215 |
| children ages | 0.278664 |
| ADHD treatment | 0.385397 |
| ADHD rates | 0.321426 |
| percent | 0.261974 |
| ADHD medication | 0.361225 |
| current ADHD | 0.375761 |
| good options | 0.247142 |
| treatment approach | 0.244044 |
| healthcare claims data | 0.34238 |
| Nevada | 0.219755 |
| single source | 0.244352 |
| clinical care | 0.23921 |
| detailed findings | 0.263227 |
| Statistical Manual | 0.252748 |
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| community samples | 0.25239 |
| comprehensive data | 0.243626 |
| different studies | 0.251414 |
| Mental Disorders | 0.250363 |
| information | 0.267946 |
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Identificación del síndrome metabólico en niños afroamericanos por medio del HOMA-IR en ayunas en lugar de glucosa. |
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| alta densidad | 0.780661 |
| Estados Unidos | 0.69057 |
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| 11897 |
Centers for Disease Control and Prevention |
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NIH Clinical Center – It’s the People |
The NIH Clinical Center, America's research hospital, is often called a "house of hope." It's where the day's mission is to search for tomorrow's cures. It's where the first cure of a solid tumor with chemotherapy was discovered. The Clinical Center is also where AZT was first used to treat patients with AIDS. The Clinical Center has been the location of many amazing medical discoveries...And that's why it has earned the Lasker-Bloomberg Public Service Award. But what really makes this place award-winning are the people. We could not do it without our diverse health care team, staff, patients, and families. clinicalcenter.nih.gov |
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| NIH Clinical Center | 0.958392 |
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Centers for Disease Control and Prevention |
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Salud de los Hispanos |
Signos Vitales de los CDC ofrece datos recientes y hace un llamado a actuar respecto de importantes temas de salud pública |
| Bajo Precio | 0.772476 |
| antecedentes familiares | 0.522336 |
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| Buena Salud | 0.607971 |
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| Archivo Zip Comprimido | 0.58446 |
| diabetes tipo | 0.538124 |
| hombres puertorriqueños | 0.570796 |
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Diabetes and Pregnancy: Erin's Story | CDC Features |
If you are a woman with diabetes, you still can have a healthy baby. You need to take extra care before and during your pregnancy. Learn how to get ready and read one mother’s story. |
| low blood sugar | 0.591014 |
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| numbers | 0.449089 |
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| blood sugar levels | 0.596387 |
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| symptoms | 0.423345 |
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| problems | 0.432479 |
| insulin | 0.429201 |
| hard candy | 0.435065 |
| quick sugar | 0.476941 |
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| mg/dL | 0.429791 |
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| control | 0.451874 |
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| personal story | 0.440799 |
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| parallel Food Safety | 0.459126 |
| outbreak strains | 0.749661 |
| Antimicrobial Resistance Monitoring | 0.571888 |
| Human Services | 0.498169 |
| Public Health–Seattle | 0.464176 |
| U.S. Department | 0.637026 |
| pork production industry | 0.518827 |
| pork products | 0.460988 |
| Health Inspection Service | 0.485452 |
| Washington resident | 0.437642 |
| electronic PDF version | 0.436622 |
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| antimicrobial-resistant Salmonella strains | 0.560164 |
| determine risk factors | 0.46033 |
| closely related pulsed-field | 0.464375 |
| Food Safety | 0.518313 |
| Communicable Disease Epidemiology | 0.546718 |
| Washington State Department | 0.914898 |
| Salmonella serotype | 0.607374 |
| Inspection Service investigation | 0.470672 |
| Foodborne Diseases Active | 0.465299 |
| additional PFGE XbaI | 0.47002 |
| National Antimicrobial Resistance | 0.569591 |
| food handling education | 0.44785 |
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| pork slaughter establishments | 0.524162 |
| case definition | 0.524056 |
| ASSuT resistance pattern | 0.46524 |
| Public Health | 0.480469 |
| original MMWR paper | 0.440158 |
| Public Health Laboratories | 0.466447 |
| rigorous Salmonella control | 0.529022 |
| Salmonella Infantis | 0.476014 |
| ASSuT resistance | 0.579197 |
| human Salmonella infections | 0.53778 |
| illness onset dates | 0.432267 |
| largest Salmonella outbreak | 0.574617 |
| inadequate employee handwashing | 0.450614 |
| pork slaughter establishment | 0.577499 |
| 6Public Health Laboratories | 0.457041 |
| Washington Medical Center | 0.47942 |
| XbaI pattern | 0.458197 |
| outbreak PFGE patterns | 0.518307 |
| 2Epidemic Intelligence Service | 0.447731 |
| future Salmonella | 0.470101 |
| Montana Department | 0.446728 |
| pork parts | 0.467505 |
| raw pork | 0.465656 |
| King County | 0.527514 |
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