| 1037 |
Centers for Disease Control and Prevention |
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en |
CDC Grand Rounds: Global Tobacco Control |
This is another in a series of occasional MMWR reports titled CDC Grand Rounds. These reports are based on grand rounds presentations at CDC on high-profile issues in public health science, practice, and policy. Information about CDC Grand Rounds is available at http://www. |
| annual global consumption | 0.480515 |
| smokefree laws | 0.464367 |
| China National Tobacco | 0.588411 |
| Tobacco Industry | 0.577503 |
| Chaloupka FJ | 0.472181 |
| Global Tobacco Surveillance | 0.590934 |
| tobacco excise tax | 0.567695 |
| tobacco use costs | 0.541077 |
| tobacco | 0.916247 |
| Global Public Health | 0.479077 |
| comprehensive tobacco control | 0.58844 |
| World Health Organization | 0.563449 |
| average cigarette consumption | 0.47038 |
| tobacco use initiation | 0.546291 |
| countries | 0.518292 |
| excess health risks | 0.459423 |
| tobacco products | 0.768658 |
| cigarettes | 0.476839 |
| J. The tobacco | 0.537957 |
| private tobacco companies | 0.588774 |
| total cigarette price | 0.47003 |
| global cigarette consumption | 0.47962 |
| global tobacco control | 0.587129 |
| United States | 0.521305 |
| tobacco packages | 0.559613 |
|
| smokers | 0.461468 |
| tobacco advertising | 0.61173 |
| tobacco control policy | 0.59649 |
| significant health benefits | 0.460529 |
| Adult Tobacco Survey | 0.625787 |
| tobacco marketing bans | 0.579436 |
| Global Youth Tobacco | 0.592705 |
| cigarette consumption | 0.495809 |
| graphic warning labels | 0.49353 |
| tobacco sales worldwide | 0.606522 |
| H. Tobacco advertising | 0.564787 |
| smokefree public places | 0.465778 |
| Cigarette package health | 0.470995 |
| effective tobacco control | 0.586957 |
| Global Adult Tobacco | 0.629526 |
| well-enforced smokefree policies | 0.463169 |
| specific health warnings | 0.460048 |
| tobacco control policies | 0.64573 |
| Tob Control | 0.482714 |
| Tobacco Questions | 0.55739 |
| cigarette packages | 0.466266 |
| Canadian Cancer Society | 0.487834 |
| Tobacco plants | 0.564941 |
| tobacco control | 0.843758 |
|
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| 4697 |
Centers for Disease Control and Prevention |
Html |
en |
Cost-effectiveness analysis of efforts to reduce risk of type 2 diabetes and cardiovascular disease in southwestern Pennsylvania, 2005-2007 |
null |
| Diabetes Prevention Study | 0.459497 |
| cost-effectiveness ratio | 0.313959 |
| diabetes prevention | 0.821409 |
| Prospective Diabetes Study | 0.273818 |
| Pittsburgh Diabetes Institute | 0.223708 |
| impaired glucose tolerance | 0.309162 |
| Kingdom Prospective Diabetes | 0.210552 |
| 1-way sensitivity analyses | 0.26126 |
| Da Qing Diabetes | 0.273843 |
| mDPP intervention cost | 0.225352 |
| Diabetes Study risk | 0.22783 |
| lifestyle intervention | 0.319047 |
| DPP lifestyle intervention | 0.280425 |
| Diabetes Prevention Support | 0.277385 |
| incremental cost-effectiveness | 0.209833 |
| complicated diabetes | 0.209333 |
| DPP intervention | 0.233272 |
|
| usual care | 0.527609 |
| stable diabetes stage | 0.206335 |
| mDPP intervention | 0.358338 |
| cost-effectiveness | 0.326907 |
| risk factors | 0.272107 |
| Diabetes Care | 0.35576 |
| original DPP | 0.222441 |
| Diabetes Prevention Programme | 0.211634 |
| cost-effectiveness ratios | 0.210687 |
| metabolic syndrome | 0.930368 |
| et al | 0.393109 |
| sensitivity analyses | 0.405444 |
| diabetes prevention program | 0.72605 |
| diabetes complication incidence | 0.208226 |
| intervention | 0.408255 |
| Finnish Diabetes Prevention | 0.378555 |
|
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| 6294 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Alcohol-Impaired Driving Among Adults - United States, 2010 - Press Briefing Transcript: October 4, 2011 |
Vital Signs: Alcohol-Impaired Driving Among Adults — United States, 2010 |
| young men age | 0.337449 |
| sobriety checkpoints | 0.394774 |
| fatal motor vehicle | 0.427112 |
| Tom Frieden | 0.991916 |
| risky drinking patterns | 0.353992 |
| ignition interlock programs | 0.332066 |
| Tom Skinner | 0.850439 |
| brief question | 0.329832 |
| David Beasley | 0.385364 |
| minimum legal drinking | 0.474144 |
| press star | 0.433855 |
| drivers. Dr. Bergen | 0.395548 |
| broader societal costs. | 0.393607 |
| ignition interlock | 0.376105 |
| strong public support | 0.324011 |
| Dr. Gwen Bergen | 0.446855 |
| legal drinking age | 0.478886 |
| Shirley. Thank | 0.37401 |
| highways. Sobriety checkpoints | 0.346941 |
| Mr. Tom skinner. | 0.36761 |
| Dr. Thomas Frieden | 0.484462 |
| young inexperienced drivers | 0.335513 |
| drunk driving. Drinking | 0.393106 |
| Gwen Bergen | 0.882616 |
| Timothy Martin | 0.362545 |
|
| Operator | 0.348706 |
| driving. Ignition interlocks | 0.35832 |
| ignition interlock systems | 0.323006 |
| Vital Signs | 0.389593 |
| ignition interlocks | 0.381915 |
| recent survey | 0.324828 |
| costs. Dr. Bergen | 0.391223 |
| Daniel DeNoon | 0.435499 |
| interesting. Thank | 0.335929 |
| monthly sobriety checkpoints. | 0.332243 |
| drink. Binge drinking | 0.386166 |
| Vital Signs report | 0.325978 |
| drunk driving | 0.557788 |
| age drinking laws | 0.392364 |
| question | 0.637821 |
| people | 0.386742 |
| drinking age laws | 0.478344 |
| medical costs | 0.34268 |
| motor vehicle crashes | 0.590563 |
| Mike Stobbe | 0.557088 |
| Dr. Bergen | 0.891914 |
| Dr. Frieden | 0.695499 |
| Damien McNamara | 0.3713 |
| blood alcohol concentration | 0.322512 |
|
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| 8575 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - War Stories, William L. Perry |
War Stories, The first cases of illness from the 1918 flu pandemic in the United States were reported from Fort Riley, Kansas on March 11 when an Army private became ill; complaining of fever, sore throat, and headache. Military personnel were greatly impacted by the virus and many young recruits were dead from the flu before they ever saw combat. |
| pandemic flu | 0.663051 |
| Campobello | 0.362867 |
| William Lawrence Perry | 0.796346 |
| William’s death | 0.417555 |
| train station | 0.439227 |
| flu epidemic | 0.689442 |
| livery service | 0.509432 |
| church–sponsored social gathering | 0.778504 |
|
| South Carolina | 0.863541 |
| Linda Mulvihill | 0.565778 |
| death certificate | 0.416383 |
| flu stricken soldiers | 0.974776 |
| children | 0.2198 |
| ) service. | 0.449591 |
| general store | 0.47418 |
| Lilly | 0.453934 |
|
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| 8815 |
Centers for Disease Control and Prevention |
Html |
en |
Deaths Associated with Hurricane Sandy - October-November2012 |
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. |
| flooded homes | 0.529443 |
| Cross mortality form | 0.486564 |
| Red Cross | 0.911261 |
| Sandy-related deaths | 0.643328 |
| New York state | 0.512687 |
| New York City | 0.731009 |
| Human Health Sciences | 0.504607 |
| directly related deaths | 0.637954 |
| Management Agency storm | 0.507592 |
| deaths | 0.993416 |
| Hurricane-related drowning deaths | 0.656444 |
| Red Cross cases | 0.505155 |
| nondrowning deaths | 0.598617 |
| Red Cross mortality | 0.672871 |
| tropical storm winds | 0.47827 |
| decedents | 0.485872 |
| home addresses | 0.48859 |
| hurricane-related deaths | 0.625794 |
| hurricane evacuation orders | 0.514136 |
| West Virginia | 0.480555 |
| Emergency Management Agency | 0.56218 |
| hurricane storm surge | 0.497583 |
| Zone A. Drowning | 0.538418 |
| Cross mortality tracking | 0.518276 |
|
| Evacuation Zone A. | 0.567965 |
| storm surge predictions | 0.481434 |
| Evacuation Zone | 0.697144 |
| evacuation messages | 0.534471 |
| indirectly related deaths | 0.674399 |
| mandatory evacuation orders | 0.497338 |
| evacuation plans | 0.489523 |
| New York | 0.857003 |
| Red Cross volunteers | 0.531473 |
| mortality forms | 0.494986 |
| common cause | 0.48071 |
| disaster-related health needs | 0.47897 |
| disaster-related deaths | 0.620758 |
| American Red Cross | 0.645627 |
| evacuation systems | 0.499706 |
| Cross tracks deaths | 0.640772 |
| New Jersey | 0.483821 |
| storm surge area | 0.565816 |
| evacuation zones | 0.488468 |
| Red Cross Disaster | 0.51394 |
| Cross mortality forms | 0.484824 |
| Federal Emergency Management | 0.564161 |
| Hurricane Sandy | 0.549611 |
| Agency storm surge | 0.507814 |
|
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| 10644 |
Centers for Disease Control and Prevention |
Html |
en |
Short and Extended Messages'Botulism' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 11250 |
Centers for Disease Control and Prevention |
Html |
es |
Mayo es el Mes deConcientización sobre el Asma |
Aprenda a controlar su asma. |
| Archivo Apple Quicktime | 0.766595 |
| Archivo Zip Comprimido | 0.762406 |
| infecciones respiratorias | 0.667801 |
| Archivo Microsoft PowerPoint | 0.786418 |
| Archivo Adobe PDF | 0.765036 |
|
| Archivo Microsoft Excel | 0.761928 |
| causa episodios | 0.680493 |
| Estados Unidos | 0.673432 |
| Archivo Microsoft | 0.954426 |
|
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| 13021 |
Centers for Disease Control and Prevention |
Html |
en |
Mycoplasma pneumoniae Outbreak in a Long-Term Care Facility- Nebraska, 2014 |
Deborah L. Hastings, MD1,2, Kari J. Harrington3, Preeta K. |
| fever т‰Ѕ100.4ТÐ?F | 0.605723 |
| Nebraska Public Health | 0.573888 |
| Human Services | 0.591682 |
| East Central District | 0.623422 |
| Alzheimer unit residents | 0.575446 |
| Preeta K. Kutty | 0.570451 |
| classic pneumonia symptom | 0.570288 |
| Jonas M. Winchell | 0.582053 |
| Thomas J. Safranek | 0.571705 |
| outbreak | 0.641065 |
| health care providers | 0.578396 |
| epidemiologic link | 0.634399 |
| Chlamydophila pneumoniae | 0.58487 |
| ill residents | 0.591843 |
| ill staff members | 0.581109 |
| respiratory disease outbreaks | 0.587314 |
| Central District Health | 0.668596 |
| District Health Department | 0.666267 |
| long-term care facility | 0.599132 |
| strict infection control | 0.624644 |
| unexplained pneumonia cases | 0.583378 |
| surveillance case definition | 0.573776 |
| certain patients | 0.60209 |
| case definition | 0.762409 |
|
| staff family member | 0.570729 |
| primary care provider | 0.571932 |
| etiologic agent | 0.574431 |
| M. pneumoniae | 0.927925 |
| respiratory disease clusters | 0.580642 |
| outbreak situations | 0.57458 |
| Public Health Laboratory | 0.618324 |
| respiratory illness outbreaks | 0.597282 |
| community members | 0.579416 |
| respiratory illness | 0.641132 |
| droplet precautions | 0.597745 |
| probable case definition | 0.61634 |
| infection prevention measures | 0.576539 |
| Alzheimer unit | 0.597976 |
| autopsy specimens | 0.573121 |
| Deborah L. Hastings | 0.621188 |
| Mycoplasma pneumoniae DNA | 0.622412 |
| acute respiratory illness | 0.580005 |
| ECDHD staff members | 0.591742 |
| long-term care facilities | 0.633828 |
| staff members | 0.706456 |
| skilled nursing facility | 0.586013 |
| infection control measures | 0.679822 |
| M. pneumoniae infection | 0.643847 |
|
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| 13148 |
Centers for Disease Control and Prevention |
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en |
Workers' Memorial Day - April 28, 2015 |
Workers' Memorial Day, observed each year on April 28, recognizes workers who died or who have experienced exposures to hazards at work. In 2013, a total of 4,405 U.S. |
| overall incidence | 0.570461 |
| endorsement | 0.484322 |
| Human Services | 0.711544 |
| record new cases | 0.714227 |
| U.S. Department | 0.704229 |
| MMWR HTML versions | 0.694514 |
| nonfatal work-related illnesses | 0.986088 |
| electronic PDF version | 0.67731 |
| work-related injuries | 0.995238 |
| additional information | 0.563817 |
| Memorial | 0.430805 |
| deaths | 0.430817 |
| occupational fatalities | 0.608241 |
| issue | 0.451334 |
| Contact GPO | 0.589562 |
| commercial sources | 0.562358 |
| current prices | 0.554307 |
| U.S. workers | 0.615743 |
| original paper copy | 0.671459 |
| United States | 0.566103 |
| original MMWR paper | 0.68795 |
| U.S. Government Printing | 0.679934 |
| local government workers | 0.739745 |
| work-related fatalities | 0.783779 |
|
| work-related asthma | 0.752652 |
| Occupational Safety | 0.584269 |
| MMWR readers | 0.571772 |
| character translation | 0.553201 |
| total | 0.430422 |
| under-recognized work-related illnesses | 0.981258 |
| health care workers | 0.733469 |
| National Institute | 0.57203 |
| format errors | 0.555419 |
| typeset documents | 0.56233 |
| private industry workers | 0.741292 |
| national surveillance systems | 0.707984 |
| unpublished data | 0.571756 |
| trade names | 0.562486 |
| official text | 0.551048 |
| emergency departments | 0.565673 |
| exposures | 0.436523 |
| latest estimate | 0.589613 |
| non-CDC sites | 0.559651 |
| overall societal burden | 0.709556 |
| report | 0.447644 |
| electronic conversions | 0.550766 |
| occupational traumatic injuries | 0.790272 |
| printable versions | 0.546206 |
|
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| 13835 |
Centers for Disease Control and Prevention |
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Selected Diagnosed Chronic Conditions by Sexual Orientation:A National Study of US Adults, 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. |
| gay/lesbian adults | 0.515128 |
| sexual orientation | 0.770826 |
| Sample Adult data | 0.407884 |
| Chronic Conditions Strategic | 0.384983 |
| significant differences | 0.502635 |
| National Health Interview | 0.499023 |
| diagnosed chronic conditions | 0.415616 |
| multiple chronic conditions | 0.401584 |
| health insurance status | 0.396577 |
| gay/lesbian women | 0.413738 |
| Survey Sample Adult | 0.40813 |
| Sample Adult Core | 0.395516 |
| current asthma | 0.401366 |
| estimates | 0.412766 |
| undiagnosed chronic conditions | 0.376447 |
| Interview Survey Sample | 0.409777 |
| bisexual adults | 0.549012 |
| response rate | 0.383551 |
| Health Interview Survey | 0.500042 |
| prevalent chronic conditions | 0.385452 |
| straight adults | 0.509464 |
| arthritis | 0.401221 |
| sociodemographic characteristics | 0.409828 |
| chronic bronchitis | 0.392175 |
|
| obstructive pulmonary disease | 0.48146 |
| study | 0.391932 |
| chronic health conditions | 0.426987 |
| adults | 0.641871 |
| straight men | 0.381174 |
| sexual minority | 0.438007 |
| straight women | 0.390514 |
| percentage points | 0.444893 |
| prevalence estimates | 0.375981 |
| prevalence | 0.505968 |
| additional chronic conditions | 0.374916 |
| health care | 0.384897 |
| sexual minority groups | 0.411954 |
| sample adult | 0.471335 |
| annual combined family | 0.393933 |
| age-adjusted prevalence | 0.384894 |
| MCC | 0.41864 |
| chronic conditions | 0.907648 |
| bisexual women | 0.375651 |
| percentage-point higher prevalence | 0.397997 |
| relative standard error | 0.393146 |
| gay men | 0.374268 |
| Adult data file | 0.412085 |
| coronary heart disease | 0.431828 |
|
CLICK HERE |