| 1324 |
Centers for Disease Control and Prevention |
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Severe Respiratory Illness Associated with Enterovirus D68 -Missouri and Illinois, 2014 |
On September 8, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| CDC Picornavirus Laboratory | 0.348745 |
| chest radiographs | 0.295098 |
| Enterovirus D68* | 0.286866 |
| unexplained severe respiratory | 0.369423 |
| National Enterovirus Surveillance | 0.463726 |
| Fredrick Echols | 0.225258 |
| airway pressure ventilation | 0.478002 |
| nasopharyngeal specimens | 0.339422 |
| MMWR Early Release | 0.319712 |
| EV-D68 reports | 0.227988 |
| Susan I. Gerber | 0.308412 |
| state health departments | 0.276014 |
| intensive care unit | 0.677786 |
| Health care providers | 0.292683 |
| Kansas City | 0.627891 |
| website (http://www.cdc.gov/mmwr). | 0.319532 |
| patients | 0.343004 |
| underlying respiratory illness | 0.430518 |
| Mercy Hospital | 0.30448 |
| Respiratory Diseases | 0.271833 |
| various clinical symptoms | 0.281256 |
| febrile rash illness | 0.364011 |
| respiratory distress | 0.276119 |
| 1Epidemic Intelligence Service | 0.277378 |
| Rangaraj Selvarangan | 0.218513 |
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| geographically distinct observations | 0.290651 |
| respiratory illness | 0.907227 |
| United States | 0.38735 |
| Chicago Medicine Comer | 0.312917 |
| mild respiratory illness | 0.412621 |
| George Turabelidze | 0.218432 |
| previous history | 0.299509 |
| Mary Anne Jackson | 0.311406 |
| Ajanta Patel | 0.223273 |
| severe symptoms | 0.224102 |
| laboratory detections | 0.2228 |
| Claire M. Midgley | 0.498755 |
| extracorporeal membrane oxygenation | 0.28746 |
| EV-D68 | 0.241998 |
| John T. Watson | 0.311271 |
| neurologic illness | 0.255754 |
| bilevel positive airway | 0.477253 |
| W. Allan Nix | 0.31327 |
| positive airway pressure | 0.477198 |
| multiplex polymerase chain | 0.303455 |
| B. Louise Giles | 0.310868 |
| severe respiratory illness | 0.798922 |
| Enterovirus infections | 0.264403 |
| 3Infectious Disease Department | 0.279996 |
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| 4579 |
Centers for Disease Control and Prevention |
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Quick Facts for the Public on Antiviral Treatments for 2009 H1N1 |
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| flu test result | 0.492159 |
| influenza diagnostic test | 0.246214 |
| rapid flu test | 0.633703 |
| prescription antiviral drug | 0.359643 |
| high risk groups | 0.311647 |
| health care provider | 0.760246 |
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| rapid flu tests | 0.482047 |
| lung disease | 0.246344 |
| Health care providers | 0.402218 |
| common side effects | 0.254942 |
| flu complications | 0.61774 |
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| 4952 |
Centers for Disease Control and Prevention |
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en |
Science Clips - Monday, October 11, 2010 |
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| postnatal depression scale | 0.721746 |
| urinary sodium excretion | 0.716515 |
| household survey data | 0.726354 |
| Nutrition Survey | 0.684134 |
| Health Organization African | 0.756352 |
| primary care providers | 0.729258 |
| African region | 0.719429 |
| Maternal influenza vaccination | 0.732006 |
| CDC Science Clips | 0.9649 |
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| Pathology collaborative project | 0.72606 |
| new weekly digest | 0.742414 |
| Chief Science Officer | 0.755085 |
| school vending machines | 0.733181 |
| nested case-control study | 0.732124 |
| condom distribution interventions | 0.732125 |
| DNA reference materials | 0.728845 |
| nutrition examination survey | 0.725235 |
| public domain | 0.686589 |
| 12-month follow-up | 0.680641 |
| human immunodeficiency virus | 0.746354 |
| Stephen B. Thacker | 0.875059 |
| Behavioral Risk Factor | 0.7267 |
| Hearing health | 0.689088 |
| Multiple healthy behaviors | 0.724779 |
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| United States | 0.776997 |
| behavioural risk factors | 0.713814 |
| National Spina Bifida | 0.741918 |
| young U.S. adults | 0.73296 |
| health study | 0.692828 |
| influenza virus infection | 0.727025 |
| immunodeficiency syndrome | 0.690224 |
| Surveillance System Survey | 0.677608 |
| region laboratory accreditation | 0.728599 |
| Primary immunodeficiency diseases | 0.751281 |
| emergency department patients | 0.744992 |
| Pediatr Adolesc Med. | 0.733999 |
| optimal self-rated health | 0.75848 |
| public health literature | 0.753534 |
| Youth Physical Activity | 0.735902 |
| B. Thacker CDC | 0.958261 |
| high school students | 0.725735 |
| randomized controlled trial | 0.715591 |
| original sources | 0.689143 |
| Korean national health | 0.747372 |
| complex activity limitations | 0.722734 |
| persistent organic pollutants | 0.721957 |
| Health Serv Res. | 0.757757 |
| Thacker CDC Library | 0.958213 |
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Centers for Disease Control and Prevention |
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Epidemiology and Microbiology in Adult and Pediatric Patients - 2011 BSI Guidelines |
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| 5504 |
Centers for Disease Control and Prevention |
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Yttrium - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6412 |
Centers for Disease Control and Prevention |
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Fruit and Vegetable Consumption Among High School Students - United States, 2010 |
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. |
| neighborhood stores.§§§ School | 0.275303 |
| vegetable consumption | 0.576837 |
| School Health Guidelines | 0.279605 |
| Sonia A. Kim | 0.3095 |
| U.S. Department | 0.286028 |
| median consumption | 0.337626 |
| Median daily consumption | 0.346463 |
| food consumption | 0.275135 |
| fruit juice | 0.314866 |
| Additional information | 0.316745 |
| total fruit consumption | 0.337318 |
| National Youth Physical | 0.366125 |
| U.S. high school | 0.333052 |
| school salad bars | 0.275781 |
| high school program | 0.287248 |
| schools | 0.275168 |
| non-Hispanic white students | 0.37143 |
| environmental approaches | 0.368728 |
| reported median consumption | 0.324701 |
| median number | 0.316315 |
| National School Lunch | 0.27774 |
| green salad | 0.294666 |
| median daily vegetable | 0.352392 |
| salad bars | 0.311303 |
|
| consistently low fruit | 0.287686 |
| fruit | 0.52182 |
| infrequent fruit | 0.294442 |
| Nutrition Study | 0.290822 |
| Vegetable Program | 0.277017 |
| vegetables | 0.578628 |
| vegetable recommendations | 0.283553 |
| Current daily fruit | 0.322985 |
| response options | 0.292367 |
| times | 0.406334 |
| Hispanic students | 0.293798 |
| fruits | 0.371909 |
| daily physical activity | 0.287999 |
| vegetable access | 0.341044 |
| students ate vegetables | 0.359389 |
| Youth Physical Activity | 0.36573 |
| daily vegetable consumption | 0.371788 |
| high school students | 0.927446 |
| physical activity | 0.545047 |
| total vegetable consumption | 0.330322 |
| daily fruit consumption | 0.353043 |
| Fresh Fruit | 0.279475 |
| high school diploma | 0.286148 |
| school food advocates | 0.278496 |
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| 7244 |
Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0317 |
CDC’s Colorectal Cancer Control Program (CRCCP) funds 25 states and 4 tribal organizations to promote and increase colorectal cancer screening population-wide. The CRCCP grantees must use evidence-based strategies from the Guide to Community Preventive Services, including small media and client reminders. |
| patient education materials | 0.280029 |
| CRCCP leaders | 0.720017 |
| population subgroups | 0.273482 |
| small media | 0.916496 |
| colorectal cancer control | 0.299732 |
| colorectal cancer screening | 0.321196 |
| health care providers | 0.27751 |
| colorectal cancer resources | 0.357778 |
| information resources | 0.286591 |
| colorectal cancer | 0.759046 |
| client reminders | 0.751898 |
| CRC screening | 0.430655 |
| community partners | 0.767831 |
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| environmental scan | 0.211237 |
| resources | 0.504815 |
| community health centers | 0.444735 |
| respondents | 0.494126 |
| CRCCP cooperative agreements | 0.20387 |
| survey | 0.332836 |
| Community Preventive Services | 0.291617 |
| American Indian/Alaska Native | 0.262687 |
| existing colorectal cancer | 0.23914 |
| tribal organizations | 0.339524 |
| busy lives | 0.235006 |
| message themes | 0.200284 |
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| 7280 |
Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0344 |
US Hispanics have disproportionate rates of diabetes and other chronic diseases. We used the entertainment–education approach to develop a Spanish-language radio novella aimed at reducing risk factors for diabetes, obesity, and tobacco use. |
| local radio personality | 0.504919 |
| Spanish-speaking community members | 0.536036 |
| community-based participatory methods | 0.50772 |
| health issues | 0.742413 |
| listening sessions | 0.506473 |
| culturally relevant storyline | 0.512276 |
| que era diabetes | 0.508285 |
| entertainment–education approach | 0.557985 |
| Hispanic immigrants | 0.515894 |
| Hispanic adults | 0.509685 |
| salient health issues | 0.57549 |
| Promesas y Traiciones | 0.513049 |
| various health issues | 0.523768 |
| local Hispanic community | 0.696961 |
| Spanish-language radio station | 0.736413 |
| Hispanic community | 0.729708 |
| community engagement objectives | 0.557064 |
| risk factors | 0.538483 |
| poor health behaviors | 0.516272 |
| health messages | 0.524878 |
| local Hispanic population | 0.524219 |
| community residents | 0.524231 |
| Hispanic health organization | 0.557997 |
| community events | 0.514243 |
| community engagement | 0.661616 |
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| Spanish-language radio novella | 0.563559 |
| Hispanic population | 0.595666 |
| local Hispanic health | 0.582836 |
| intervention | 0.513484 |
| county health department | 0.586777 |
| community members | 0.914198 |
| Hispanic health issues | 0.591317 |
| local community | 0.536231 |
| community service activities | 0.519644 |
| local Spanish-language newspapers | 0.587726 |
| Hispanic target audience | 0.5053 |
| community engagement outcome | 0.530815 |
| non-Hispanic white adults | 0.511009 |
| Hispanic service organization | 0.512837 |
| social cognitive theory | 0.517076 |
| Hispanic theater professor | 0.505799 |
| physical activity | 0.70646 |
| well-attended community events | 0.511294 |
| Community Context | 0.507183 |
| Community creative workshop | 0.523905 |
| Community members Health | 0.572381 |
| community workshop | 0.519708 |
| local Spanish-language radio | 0.629397 |
| diabetes | 0.57265 |
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David J. Sencer CDC Museum - Camp Information Frequently Asked Questions |
CDC Disease Detective Camp: Frequently Asked Questions - David J. Sencer CDC Museum |
| health education | 0.242156 |
| safety requirements. | 0.212292 |
| campers | 0.250776 |
| applicants | 0.2225 |
| medical treatment focus | 0.310687 |
| current newsworthy topics | 0.284644 |
| vast field | 0.218768 |
| camp staff | 0.322564 |
| good learning opportunity | 0.306985 |
| CDC’s laboratory | 0.371644 |
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| CDC staff members | 0.428312 |
| clinical medical facility | 0.309606 |
| wait list slot | 0.324484 |
| Sencer CDC Museum | 0.434879 |
| Application Essay Questions | 0.32756 |
| CDC Museum | 0.553623 |
| mock press conferences | 0.278662 |
| high-school juniors | 0.313005 |
| application deadline | 0.238771 |
| CDC Disease Detective | 0.829277 |
| fellow campers | 0.221362 |
| Disease Detective Camp | 0.927815 |
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| people’s health | 0.232045 |
| camp applications | 0.272554 |
| Complete application | 0.24862 |
| teacher/counselor Recommendation Form | 0.302165 |
| camp@cdc.gov. | 0.267446 |
| 2017-2018 school | 0.213069 |
| application email | 0.250918 |
| e-mail address book | 0.290168 |
| camp slot | 0.288287 |
| public health | 0.583794 |
| public health law | 0.305926 |
| data analysis | 0.223588 |
| world-renowned CDC scientists | 0.421407 |
| teacher recommendation form | 0.453789 |
| data collection | 0.22362 |
| retired CDC employees | 0.4366 |
| global health activities | 0.30078 |
| camp session | 0.262029 |
| CDC headquarters | 0.344838 |
| application | 0.389137 |
| CDC Museum Disease | 0.476098 |
| systematic study | 0.217025 |
| CDC facility availability | 0.418004 |
| application process | 0.242733 |
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Centers for Disease Control and Prevention |
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Measures of People's Skills and Experiences |
This page provides tools and resources for researching and evaluating health literacy practice. |
| American adults | 0.355978 |
| International Assessment | 0.396015 |
| Health Literacy Measurement | 0.553524 |
| Healthcare Providers | 0.352618 |
| psychometric properties | 0.352495 |
| health information | 0.405512 |
| Group Survey | 0.352347 |
| Health Literacy Tool | 0.583317 |
| RTI International | 0.355202 |
| Health Literacy Component | 0.576062 |
| health care professionals | 0.41471 |
| National Center | 0.359917 |
| Educational Progress | 0.352155 |
| Addressing Health Literacy | 0.555327 |
| people’s literacy | 0.532574 |
| technology-rich environments | 0.356874 |
| Literacy Tool Shed | 0.534949 |
| various subject areas | 0.399765 |
| international survey | 0.359751 |
| health-related materials | 0.355715 |
| Boston University | 0.350244 |
| health literacy | 0.901496 |
| Consumer Assessment | 0.363485 |
| NAAL | 0.376742 |
| Adult Competencies | 0.403175 |
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| first-ever national assessment | 0.419518 |
| health literacy measures | 0.544518 |
| AHRQ-funded researchers | 0.350424 |
| United States | 0.349566 |
| health literacy—individuals | 0.370742 |
| nationally representative assessment | 0.414253 |
| Education Statistics | 0.355812 |
| national assessment | 0.436978 |
| comprehensive measure | 0.367964 |
| Communicate Health | 0.370003 |
| CAHPS Consortium | 0.353096 |
| health literacy skills | 0.613814 |
| reliable assessments | 0.350411 |
| supplemental set | 0.352362 |
| peer-reviewed literature | 0.349426 |
| National Library | 0.354013 |
| English literacy | 0.510902 |
| Different surveys | 0.362058 |
| adult literacy | 0.534054 |
| CAHPS Item Set | 0.395474 |
| primary goal | 0.351473 |
| CAHPS Clinician | 0.35622 |
| numeracy skills | 0.371806 |
| evaluation questions | 0.361329 |
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