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Centers for Disease Control and Prevention |
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Science Clips - Monday, August 25, 2014 |
CDC - Stephen B. Thacker Library - Science Clips |
| Neuroinvasive arboviral disease | 0.660972 |
| isoniazid preventive therapy | 0.668991 |
| Clin Nutr. | 0.682194 |
| Eur J Clin | 0.68316 |
| childhood influenza vaccination | 0.678939 |
| Aug | 0.931482 |
| Isoniazid preventive treatment | 0.668309 |
| child physical abuse | 0.666599 |
| Matern Child Health | 0.729539 |
| CDC Science Clips | 0.672456 |
| Emerg Infect Dis. | 0.671257 |
| health care personnel | 0.682457 |
| Evid Based Med. | 0.661085 |
| home-based HIV counseling | 0.661972 |
| symptomatic intracranial hemorrhage | 0.666718 |
| Child Abuse Negl. | 0.666438 |
| body mass index | 0.66079 |
| rural western Kenya | 0.661088 |
| Honein MA | 0.666278 |
| Infect Dis. | 0.744102 |
| Island health care | 0.681984 |
| affordable care act | 0.661381 |
| adult Somali refugees | 0.660154 |
| active living initiatives | 0.659221 |
| United States | 0.853454 |
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| BMC Infect Dis. | 0.679204 |
| Child Health J. | 0.727193 |
| public health community | 0.701242 |
| Influenza vaccination coverage | 0.68409 |
| Kroelinger CD | 0.659481 |
| diarrheagenic E. coli | 0.659814 |
| common infectious disease | 0.66621 |
| Mental health services | 0.686054 |
| public health | 0.741136 |
| site-specific cancer risk | 0.676813 |
| public health literature | 0.681077 |
| Public Health Manag | 0.685937 |
| B. Thacker CDC | 0.66346 |
| influenza vaccination | 0.70022 |
| Prev Med. | 0.676337 |
| influenza vaccination regulations | 0.670529 |
| Paul Coverdell Acute | 0.667513 |
| Vaccine Safety Datalink | 0.65963 |
| Clin Microbiol. | 0.669174 |
| Lancet Diabetes Endocrinol. | 0.660002 |
| Infect Dis J. | 0.675901 |
| acute ischemic stroke | 0.662086 |
| active young women | 0.669894 |
| public health research | 0.702786 |
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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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Centers for Disease Control and Prevention |
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2011 Guidelines for the Prevention of Intravascular Catheter-Related Infections |
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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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Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012:11_0195 |
Federally funded, community-based participatory research initiatives encourage the development and implementation of obesity prevention policies. In 2009, the Centers for Disease Control and Prevention (CDC) published the Common Community Measures for Obesity Prevention (COCOMO), which include recommended strategies and measures to guide communities in identifying and evaluating environmental and policy strategies to prevent obesity. |
| Pitt County | 0.809009 |
| North Carolina | 0.484227 |
| CDC’s COCOMO | 0.390679 |
| COCOMO recommendation | 0.410463 |
| little funding/No funding | 0.397178 |
| local policy strategies | 0.359802 |
| winnable local policy | 0.443435 |
| eastern North Carolina | 0.426023 |
| Pitt County Planning | 0.368763 |
| public service venues | 0.515647 |
| Pitt County seat | 0.366158 |
| East Carolina University | 0.494815 |
| winnable policy issues | 0.369255 |
| community advisory council | 0.546079 |
| community culture | 0.392765 |
| obesity prevention | 0.970631 |
| Lenoir County COCOMO | 0.469744 |
| rural areas | 0.568901 |
| school human resources | 0.362121 |
| obesity prevention policies | 0.687863 |
| Pitt County community | 0.412801 |
| local stakeholders | 0.453425 |
| community | 0.65341 |
| COCOMO assessment | 0.53896 |
| funding/Very little funding/No | 0.401201 |
|
| policy changes | 0.385669 |
| leadership support | 0.384522 |
| COCOMO recommendations | 0.411789 |
| COCOMO | 0.620345 |
| COCOMO policy strategies | 0.483633 |
| Lenoir County | 0.48515 |
| county cppw project | 0.38704 |
| community leaders | 0.448095 |
| Pitt County interview | 0.369749 |
| Heart Healthy Lenoir | 0.438428 |
| Common Community Measures | 0.467024 |
| human resources manager | 0.360925 |
| little support/No support | 0.424739 |
| winnable policy options | 0.440591 |
| Pitt County stakeholder | 0.359699 |
| COCOMO strategies | 0.385208 |
| support/Very little support/No | 0.421723 |
| physical activity | 0.428978 |
| obesity prevention policy | 0.526281 |
| Pitt County CPPW | 0.425932 |
| prevention policy planning | 0.363497 |
| Community Readiness Handbook | 0.545936 |
| prevention policy strategies | 0.373594 |
| COCOMO guidance documents | 0.393745 |
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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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Preconception Care, Show Your Love Campaign - Images, Doctor |
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| Save Image As… | 0.260965 |
| Save target | 0.988722 |
| Save Picture As… | 0.271105 |
|
| right click | 0.214424 |
| picture,right click | 0.926116 |
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Centers for Disease Control and Prevention |
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DHDSP - Heart Disease - Other Related Conditions |
Learn about more heart conditions like angina, arrhythmia, and heart failure. Get facts from the CDC, the leading health protection agency in the U.S. |
| coronary artery disease | 0.848124 |
| major artery | 0.493544 |
| common type | 0.550295 |
| rheumatic fever | 0.471775 |
| heart failure fact | 0.585662 |
| atrial fibrillation | 0.656546 |
| fact sheet | 0.702994 |
| prior heart attacks | 0.570671 |
| Plaque buildup | 0.504338 |
| congestive heart failure | 0.591677 |
| Rheumatic heart disease | 0.577636 |
| blood flow | 0.481425 |
| heart failure | 0.73191 |
| heart muscle | 0.647434 |
| slow heartbeats | 0.482406 |
| leg pain | 0.481737 |
| irregular beating | 0.477388 |
| inadequate heart | 0.516796 |
| major birth defect | 0.528338 |
| heart | 0.922301 |
| Congenital heart defects | 0.678908 |
| aortic aneurysm fact | 0.556556 |
| coronary arteries | 0.530592 |
| weak heart pump | 0.576845 |
|
| cardiomyopathy fact sheet | 0.543689 |
| long-term heart failures | 0.56322 |
| heart transplant | 0.506711 |
| abnormal heart rhythm | 0.582789 |
| unstable angina | 0.520683 |
| Acute coronary syndrome | 0.579961 |
| heart attack | 0.575599 |
| fluid buildup | 0.479053 |
| electrical shock | 0.474745 |
| atrial fibrillation fact | 0.564301 |
| medical emergencies | 0.478087 |
| leg muscles | 0.471683 |
| abnormal heart valves | 0.572193 |
| bacterial infections | 0.470531 |
| Defects Web site | 0.532873 |
| ventricular fibrillation | 0.501087 |
| upper chambers | 0.469418 |
| uncontrolled high blood | 0.546214 |
| Peripheral arterial disease | 0.537147 |
| blood | 0.574905 |
| aortic aneurysm | 0.569021 |
| chest pain | 0.580912 |
| family history | 0.472828 |
| cholesterol deposits | 0.475093 |
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CDC - Why Doesn't Chlorine Kill Recreational Water IllnessRWI Germs? - Recreational Water Illness RWI - Healthy Swimming& Recreational Water - Healthy Water |
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Centers for Disease Control and Prevention |
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Changes in Food Choices of Participants in the SpecialDiabetes Program for Indians&ndashDiabetes PreventionDemonstration Project, 2006&ndash2010 |
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. |
| healthy food choices | 0.776033 |
| high-density lipoprotein | 0.477245 |
| Anschutz Medical Center | 0.518684 |
| FBG | 0.448223 |
| systolic blood pressure | 0.457212 |
| annual assessment | 0.774244 |
| Lifestyle Balance curriculum | 0.57841 |
| unhealthy food items | 0.483774 |
| healthy food | 0.849858 |
| healthy food items | 0.456964 |
| blood pressure | 0.578869 |
| body mass index | 0.602269 |
| diabetes-related factors | 0.58781 |
| baseline | 0.447758 |
| Special Diabetes Program | 0.609107 |
| indian health | 0.481968 |
| healthy food score | 0.752916 |
| sociodemographic characteristics | 0.478909 |
| diabetes prevention program | 0.693706 |
| healthy food scores | 0.462972 |
| 27-item food frequency | 0.451834 |
| evidence-based Diabetes Prevention | 0.453424 |
| unhealthy food score | 0.83217 |
| healthy foods | 0.48705 |
|
| Diabetes Prevention Study | 0.455379 |
| blood glucose | 0.464488 |
| Indian health programs | 0.457391 |
| unhealthy food choices | 0.526205 |
| SDPI–DP project | 0.496569 |
| food choices | 0.935168 |
| changes | 0.445021 |
| lifestyle intervention | 0.453904 |
| diabetes prevention strategies | 0.446912 |
| unhealthy foods | 0.614721 |
| participants | 0.485556 |
| Colorado Anschutz Medical | 0.518689 |
| urban Indian health | 0.452045 |
| Rapid Assessment | 0.456532 |
| 16-session Lifestyle Balance | 0.47331 |
| food scores | 0.615011 |
| food items | 0.523833 |
| food frequency questionnaire | 0.576249 |
| AI/AN adults | 0.461148 |
| unhealthy food scores | 0.489866 |
| aerobic activity | 0.465021 |
| Indian Health Service | 0.451102 |
| physical activity | 0.828152 |
| low-density lipoprotein | 0.486439 |
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