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Centers for Disease Control and Prevention |
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MMWR News Summary: September 15, 2011 |
MMWR News Summary: September 15, 2011 |
| primary prevention tool | 0.481134 |
| smoke-free laws | 0.342257 |
| Southern Hemisphere. | 0.348034 |
| Effective state tobacco | 0.446209 |
| Northern Hemisphere | 0.346325 |
| influenza antiviral medications | 0.878133 |
| 2010-11 influenza season | 0.876974 |
| current smoking | 0.399932 |
| valuable adjunct | 0.356005 |
| positive bacterial culture | 0.485155 |
| influenza activity | 0.849667 |
| high proportion | 0.342646 |
| influenza virus infections | 0.87061 |
| tobacco excise taxes | 0.456539 |
| emergency department | 0.3557 |
| CDC Division | 0.688734 |
| lung cancer cases | 0.655897 |
| smoking cessation | 0.396925 |
| antigenic characterization | 0.344882 |
| illness onset | 0.354982 |
| vast majority | 0.34385 |
| influenza-associated pediatric mortality | 0.482054 |
| influenza | 0.95732 |
| healthcare providers | 0.354218 |
| high-risk medical conditions | 0.506828 |
|
| United States | 0.581761 |
| influenza-related disease activity | 0.473144 |
| Electronic Media | 0.660262 |
| cigarette smoking | 0.393545 |
| influenza vaccine strains | 0.84745 |
| influenza B viruses | 0.71412 |
| antiviral therapy | 0.378132 |
| low levels | 0.349729 |
| high-risk medical conditions. | 0.507146 |
| smoking initiation | 0.397711 |
| influenza-associated complications | 0.356197 |
| state tobacco control | 0.631765 |
| secondhand smoke exposure | 0.43678 |
| viral isolates | 0.37239 |
| sterile site. | 0.358502 |
| tobacco control policies | 0.452026 |
| new lung cancer | 0.474567 |
| severe outcomes | 0.349587 |
| influenza-associated pediatric deaths | 0.505942 |
| annual influenza vaccination | 0.880619 |
| shorter interval | 0.359433 |
| Typical seasonal patterns | 0.461456 |
| smoking patterns | 0.401184 |
| low prevalence | 0.339527 |
|
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American Indian parents' assessment of and concern about their kindergarten child's weight status, South Dakota, 2005-2006. |
Obesity is highly prevalent among American Indians, and effective prevention efforts require caregiver involvement. We examined American Indian (AI) parents’ assessment of and level of concern about their kindergarten child’s weight status. |
| extremely obese children | 0.393711 |
| excess weight gain | 0.361036 |
| obese parents | 0.384039 |
| highest weight percentile | 0.382505 |
| obesity prevention programs | 0.364893 |
| obese children | 0.415664 |
| actual weight status | 0.374349 |
| AI children | 0.389 |
| Prevention Growth Charts | 0.360639 |
| BMI ≥97th percentile | 0.408606 |
| 85th percentile | 0.404745 |
| children | 0.616346 |
| weight status categories | 0.385185 |
| American Indian children | 0.369177 |
| weight status | 0.902765 |
| normal-weight children | 0.368239 |
| overweight parents | 0.389789 |
| child weight | 0.372602 |
| overweight | 0.448205 |
| 15th percentile | 0.398728 |
| parent report | 0.387332 |
| mass index percentiles | 0.396969 |
| BMI | 0.417926 |
|
| right weight | 0.376152 |
| address parental weight | 0.366404 |
| slightly underweight | 0.40846 |
| Childhood overweight | 0.36317 |
| normal weight | 0.419501 |
| family income | 0.389918 |
| overweight children | 0.407778 |
| slightly overweight | 0.394658 |
| body mass index | 0.490263 |
| probability | 0.368817 |
| South Dakota | 0.393027 |
| AI populations | 0.365917 |
| underweight | 0.42708 |
| measured weight status | 0.426417 |
| child’s weight | 0.703289 |
| parental weight status | 0.389731 |
| obese status | 0.36219 |
| BMI percentile categories | 0.38373 |
| overweight status | 0.390361 |
| kindergarten child | 0.365789 |
| current weight status | 0.425079 |
| African American children | 0.378097 |
| 95th percentile | 0.470893 |
|
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Centers for Disease Control and Prevention |
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Highly Pathogenic Avian Influenza A (H5N1) in People |
Highly Pathogenic Asian Avian Influenza A (H5N1) in People - CDC |
| HPAI Asian H5N1 | 0.762247 |
| Highly Pathogenic Avian | 0.42102 |
| Asian HPAI H5N1 | 0.943011 |
| human cases | 0.389738 |
| Asian H5N1 cases | 0.48791 |
| unprotected close contact | 0.428914 |
| Pathogenic Avian Influenza | 0.422263 |
| human-to-human transmission | 0.362825 |
| species barrier | 0.337642 |
| HPAI H5N1 cases | 0.537479 |
| cluster cases | 0.342565 |
| poultry outbreaks | 0.351515 |
| close prolonged contact | 0.368644 |
| common source exposures | 0.36404 |
| countries | 0.33852 |
| Limited person-to-person spread | 0.365147 |
| sick blood-related family | 0.373531 |
| severe respiratory disease | 0.369013 |
| young adults | 0.337998 |
| respiratory tract | 0.340558 |
| hospital room | 0.36128 |
| largest number | 0.337426 |
| H5N1 virus infection | 0.487114 |
| human infection | 0.343773 |
| human Asian HPAI | 0.436511 |
|
| severely ill people | 0.370257 |
| H5N1 virus outbreaks | 0.487183 |
| e.g. pneumonia | 0.340381 |
| relatively cooler periods | 0.365533 |
| HPAI H5N1 virus | 0.771623 |
| live poultry market | 0.382555 |
| blood-related family members | 0.42837 |
| human-to-human-to-human Asian HPAI | 0.384658 |
| infected poultry | 0.363165 |
| close contact | 0.461686 |
| highest number | 0.338902 |
| HPAI H5N1 viruses | 0.564344 |
| poultry | 0.392531 |
| Asian H5N1 virus | 0.637882 |
| milder cases | 0.347782 |
| H5N1 virus | 0.790789 |
| clinically mild cases | 0.379546 |
| medical care | 0.33893 |
| high mortality | 0.337598 |
| human-to-human HPAI Asian | 0.384723 |
| human infections | 0.406921 |
| dead poultry | 0.381658 |
| H5N1 Highly Pathogenic | 0.447779 |
| respiratory failure | 0.339964 |
|
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Centers for Disease Control and Prevention |
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Advisory Committee on Immunization Practices (ACIP) recommends a preference for using the nasal spray flu vaccine | Media Statement | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| website | 0.264558 |
| list Skip | 0.809373 |
|
| page options Skip | 0.939826 |
| historical purposes | 0.521589 |
|
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| 11911 |
Centers for Disease Control and Prevention |
Html |
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Million Hearts and Eating Well launch heart-healthy nutrition resource |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| local supermarkets | 0.493087 |
| Million Hearts Healthy | 0.632346 |
| big difference. | 0.486804 |
| right meal | 0.503847 |
| tasty meals | 0.496813 |
| individuals | 0.415996 |
| nutritional facts | 0.48919 |
| test kitchen. Search | 0.567293 |
| Disease Control | 0.58422 |
| emphasis | 0.417087 |
| dietary needs | 0.489129 |
| daily sodium intake | 0.634142 |
| visit http://millionhearts.hhs.gov | 0.485605 |
| healthier foods | 0.500681 |
| goal | 0.415875 |
| Director Tom Frieden | 0.567692 |
| accessible eating | 0.518839 |
| Hearts tools | 0.530561 |
| Million Hearts | 0.741414 |
| joint initiative | 0.502926 |
| online resource | 0.501243 |
| consumer-friendly addition | 0.506505 |
| filter options | 0.486991 |
| resource center | 0.771883 |
| families access content | 0.577213 |
|
| Centers | 0.442504 |
| heart attacks | 0.494377 |
| prep time | 0.490969 |
| sodium intake | 0.758349 |
| major contributor | 0.607332 |
| everyday ingredients | 0.487583 |
| heart-healthy recipes | 0.530102 |
| visit http://recipes.millionhearts.hhs.gov/ | 0.483929 |
| new Healthy Eating | 0.626621 |
| Medicaid Services | 0.488629 |
| Prevention | 0.431745 |
| servings | 0.422615 |
| heart disease | 0.503317 |
| lower sodium options | 0.616052 |
| Small changes | 0.486939 |
| lifestyle-based solutions | 0.493414 |
| Million Hearts initiative | 0.710048 |
| strokes | 0.418378 |
| family-friendly meal plans | 0.609011 |
| Executive Director | 0.493709 |
| Lifestyle Resource Center | 0.728262 |
| people | 0.446532 |
| home | 0.415563 |
| Janet S. Wright | 0.570644 |
|
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| 12627 |
Centers for Disease Control and Prevention |
Video |
en |
Director's Briefing: Million Hearts Initiative |
CDC Director Dr. Tom Frieden talks about how heart disease and stroke are leading causes of death for people -- including Hispanics -- in the U.S. Million Hearts is a national initiative that has set an ambitious goal to prevention one million heart attacks and strokes by 2017. As a partner, CDC is pleased to announce many new materials and a website in Spanish that can help people improve their heart health: http://millionhearts.hhs.gov/.
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=17464e4eb47d0770a609a2dfe5e2c2c520130213170449225 |
| Hearts Initiative | 0.971933 |
|
|
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CDC Responders: Fred and Fatima |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| CDC | 0.779711 |
| daily lives | 0.545351 |
| husband | 0.340605 |
| girls | 0.43492 |
| spouse | 0.348299 |
| daughters | 0.340488 |
| media channels | 0.507121 |
| single main message | 0.684807 |
| grandfather | 0.339943 |
| wife Fred | 0.643827 |
| Epidemic Intelligence Service | 0.673951 |
| Fatima | 0.744779 |
| contact tracing | 0.729443 |
| Family Appreciation Night | 0.651995 |
| CDC epidemiologist | 0.641537 |
| Fred | 0.683554 |
| merit | 0.340196 |
| early identification | 0.513473 |
| oldest daughter | 0.500386 |
| campaign | 0.408545 |
| health communication team | 0.709721 |
| lead epidemiologist | 0.51843 |
| Guinea | 0.380732 |
| absence | 0.348519 |
|
| Ebola responders | 0.644499 |
| Sierra Leone | 0.527999 |
| 4-week project | 0.533761 |
| footsteps | 0.341464 |
| epidemiologists | 0.353623 |
| sophisticated contact tracing | 0.686333 |
| CDC employees | 0.722016 |
| symptomatic patients | 0.530732 |
| deployment | 0.384019 |
| kids | 0.339512 |
| Ebola Big Idea | 0.821578 |
| Ebola response | 0.923079 |
| Liberia | 0.344447 |
| Ebola patient | 0.656764 |
| deployments | 0.348109 |
| Skype | 0.342266 |
| Fatima’s children | 0.633285 |
| blackberry | 0.342239 |
| CDC family | 0.643429 |
| West Africa | 0.547757 |
| ones | 0.380908 |
| time | 0.384522 |
| Dr. Frieden | 0.51841 |
| real troopers | 0.532477 |
|
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Notes from the Field: Update: Silicosis Mortality - UnitedStates, 1999-2013 |
Jacek M. Mazurek, MD1; Patricia L. Schleiff, MS1; John M. |
| low silica concentrations | 0.458089 |
| John M. Wood | 0.41721 |
| relatively short periods | 0.401758 |
| New national mortality | 0.429714 |
| nonmetallic mineral product | 0.393941 |
| common form | 0.363247 |
| silicosis prevention efforts | 0.643106 |
| silicosis cases | 0.619954 |
| contributing cause | 0.376258 |
| high silica concentrations | 0.448945 |
| Patricia L. Schleiff | 0.419551 |
| Available death certificates | 0.421159 |
| Health.§ State health | 0.396356 |
| National Center | 0.364228 |
| respirable crystalline silica | 0.469491 |
| mortality data | 0.41862 |
| Scott A. Hendricks | 0.417524 |
| silicosis surveillance | 0.657055 |
| stone product manufacturing | 0.395018 |
| higher silica levels | 0.446769 |
| decedents | 0.411897 |
| Jacek M. Mazurek | 0.432161 |
| David N. Weissman | 0.397456 |
| Ainsley Weston | 0.364492 |
| Health Statistics | 0.364202 |
|
| exposure | 0.363879 |
| Jacek Mazurek | 0.363346 |
| Effective silicosis prevention | 0.648216 |
| young adults | 0.404581 |
| workplace exposure | 0.359223 |
| Death certificate review | 0.410458 |
| chronic silicosis mortality | 0.703274 |
| Occupational Safety | 0.486434 |
| autoregressive linear regression | 0.397252 |
| occupational lung disease | 0.428537 |
| Respiratory Disease Studies | 0.467841 |
| young deaths | 0.423834 |
| Revision diagnosis code | 0.406045 |
| National Institute | 0.420976 |
| acute silicosis | 0.660398 |
| Author affiliations | 0.361641 |
| young decedents | 0.397921 |
| chronic silicosis | 0.733128 |
| silicosis | 0.92356 |
| silicosis deaths | 0.90391 |
| multiple cause-of-death mortality | 0.423812 |
| annual number | 0.405924 |
| Table). | 0.369331 |
| quartz-containing engineered stone | 0.391403 |
|
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Possible Airborne Person-to-Person Transmission ofMycobacterium bovis - Nebraska 2014-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Nebraska Public Health | 0.526238 |
| latent infection | 0.612714 |
| contact investigations | 0.532117 |
| acid amplification test | 0.482082 |
| U.S.-born high-priority contacts | 0.474407 |
| M. bovis | 0.926511 |
| nucleic acid amplification | 0.535977 |
| positive TB test | 0.486316 |
| National Veterinary Services | 0.486576 |
| high-priority contacts | 0.571133 |
| whole-genome sequencing | 0.584558 |
| M. tuberculosis TB | 0.584686 |
| M. tuberculosis | 0.74088 |
| persons | 0.478412 |
| tuberculosis complex infections | 0.478081 |
| Mexico-origin unpasteurized dairy | 0.500787 |
| drug-resistant TB | 0.474108 |
| positive test results | 0.486912 |
| second-line drug susceptibility | 0.482272 |
| Public Health Laboratory | 0.524141 |
| TB disease. | 0.490076 |
| Nebraska Medical Center | 0.4782 |
| United States | 0.532996 |
| National TB Genotyping | 0.488086 |
| church | 0.501871 |
|
| interferon gamma release | 0.487954 |
| drug susceptibility testing | 0.560578 |
| M. tuberculosis disease | 0.523741 |
| initial TB treatment | 0.493536 |
| consuming unpasteurized dairy | 0.486055 |
| M. bovis strain | 0.553963 |
| Public Health Department | 0.479555 |
| health care workers | 0.496542 |
| active tb disease | 0.67314 |
| public health | 0.582857 |
| Tuberculin skin tests | 0.533886 |
| unpasteurized dairy products | 0.855126 |
| advanced TB | 0.474362 |
| overall latent infection | 0.476927 |
| U.S. TB surveillance | 0.49077 |
| M. tuberculosis complex | 0.665947 |
| extensive pulmonary tuberculosis | 0.48653 |
| foreign-born contacts | 0.482305 |
| whole-genome sequencing results | 0.535623 |
| U.S. TB cases | 0.491644 |
| M. bovis disease | 0.598445 |
| bovis pulmonary TB | 0.578742 |
| unpasteurized contaminated dairy | 0.49049 |
| dairy products | 0.907925 |
|
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Community Interagency Connections for Immigrant WorkerHealth Interventions, King County, Washington State,2012-2013 |
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. |
| Pan-Asian service agency | 0.387885 |
| information sharing | 0.495589 |
| Chinese immigrant workers | 0.46573 |
| high betweenness centrality | 0.370297 |
| service agency sectors | 0.421124 |
| occupational health | 0.478468 |
| betweenness centrality score | 0.363682 |
| Chinese service agencies | 0.550799 |
| Pan-Asian agency sector | 0.429185 |
| community sectors | 0.424765 |
| links | 0.374191 |
| community-based chronic disease | 0.363157 |
| population health | 0.363215 |
| overall interagency network | 0.377048 |
| Pan-Asian service agencies | 0.553198 |
| service agency sector | 0.364434 |
| Pan-Asian service | 0.567638 |
| community | 0.520807 |
| chronic health problems | 0.410397 |
| health problems | 0.46044 |
| immigrant workers | 0.566535 |
| joint programs | 0.512825 |
| resource sharing | 0.415947 |
| social network analysis | 0.639173 |
| Pan-Asian service sectors | 0.398376 |
|
| community interagency networks | 0.450298 |
| chronic disease prevention | 0.366163 |
| occupational health disparities | 0.477051 |
| immigrant worker health | 0.981684 |
| relevant network agencies | 0.403835 |
| community agency networks | 0.446095 |
| network | 0.639718 |
| public agency sector | 0.517721 |
| Chinese immigrant worker | 0.506269 |
| interagency network structure | 0.382748 |
| Chinese immigrants | 0.442424 |
| immigrant community institutions | 0.378948 |
| Chinese FBOs | 0.388797 |
| joint political actions | 0.469467 |
| service contracts | 0.459466 |
| agencies | 0.848234 |
| service agencies | 0.570015 |
| interagency networks | 0.591562 |
| Chinese FBO | 0.385107 |
| public agencies | 0.424199 |
| Chinese service agency | 0.42186 |
| co-ethnic service agencies | 0.371432 |
| Chinese service sector | 0.39275 |
| undirected interagency networks | 0.367271 |
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