| 1037 |
Centers for Disease Control and Prevention |
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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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| 8385 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013:12_0211 |
Volumen 10 — el 28 de marzo de 2013. |
| salud pública | 0.561673 |
| Nueva York | 0.473352 |
| mayores probabilidades | 0.466133 |
| alta prevalencia | 0.582983 |
|
| Estados Unidos | 0.56767 |
| participantes indo-guyaneses | 0.960928 |
| Ningún estudio | 0.48003 |
| mala salud | 0.467923 |
|
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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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| 9799 |
Centers for Disease Control and Prevention |
Html |
en |
Chronic Fatigue Syndrome (CFS) - Treating the Most Disruptive Symptoms First |
null |
| bed | 0.237798 |
| severe fatigue | 0.476778 |
| thinking | 0.237693 |
| times | 0.237969 |
| Institute | 0.233133 |
| complex disease | 0.390667 |
| understanding | 0.233113 |
| health care providers | 0.539427 |
| ME/CFS | 0.833269 |
| dizziness | 0.257062 |
| pain | 0.235244 |
| timely diagnosis | 0.403076 |
| committee | 0.23346 |
| IOM | 0.260819 |
|
| Americans | 0.236337 |
| encephalomyelitis/chronic fatigue syndrome | 0.995804 |
| sleep problems | 0.402557 |
| usual activities | 0.430562 |
| body systems | 0.430988 |
| people | 0.311776 |
| symptoms | 0.233915 |
| symptom | 0.252966 |
| post-exertional malaise | 0.428804 |
| long-term illness | 0.481315 |
| new diagnostic criteria | 0.557353 |
| PEM | 0.255933 |
| MyalÂgic Encephalomyelitis/Chronic Fatigue | 0.602573 |
|
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| 11175 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | The Geography of Diabetes by Census Tract in a Large Sample of Insured Adults in King County, Washington, 2005"2006 - CDC |
Identifying areas of high diabetes prevalence can have an impact on public health prevention and intervention programs. Local health practitioners and public health agencies lack small-area data on obesity and diabetes. |
| diabetes prevention | 0.439362 |
| census tracts | 0.571389 |
| Cooperative health care | 0.389433 |
| unsmoothed prevalence | 0.411001 |
| EB-smoothed prevalence | 0.418036 |
| Health Cooperative health | 0.403878 |
| self-reported diabetes | 0.416233 |
| college education | 0.397284 |
| population density | 0.522217 |
| median household income | 0.534104 |
| area-level diabetes | 0.411073 |
| Food Environment Index | 0.412448 |
| countywide prevalence | 0.412069 |
| Census-tract–level prevalence | 0.408495 |
| obesity prevalence | 0.51571 |
| adult diabetes | 0.43632 |
| Diabetes status | 0.43069 |
| census tract–level diabetes | 0.479789 |
| high diabetes risk | 0.465359 |
| random spatial pattern | 0.406946 |
| high diabetes prevalence | 0.580845 |
| census-tract–level diabetes prevalence | 0.524791 |
| geographic distribution | 0.424309 |
| Modified Retail Food | 0.408991 |
| spatial clustering | 0.38901 |
|
| Group Health Cooperative | 0.428285 |
| spatial dependence | 0.430946 |
| crude prevalence | 0.406723 |
| percentage points | 0.455445 |
| southeast King County | 0.428034 |
| prevalence estimates | 0.414612 |
| diabetes prevalence | 0.90654 |
| diabetes belt | 0.449373 |
| childhood obesity prevalence | 0.475298 |
| median home value | 0.601178 |
| residual spatial dependence | 0.391214 |
| public health | 0.402073 |
| Retail Food Environment | 0.413242 |
| text description | 0.396383 |
| food environment | 0.520472 |
| diabetes incidence | 0.437408 |
| high prevalence | 0.426779 |
| college degree | 0.431577 |
| smoothed diabetes prevalence | 0.641925 |
| low prevalence | 0.406366 |
| census-tract level | 0.449048 |
| diabetes data | 0.431464 |
| King County | 0.760435 |
| Group Health | 0.51009 |
|
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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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| 12988 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Breast Cancer Stage, Surgery, and Survival Statistics for Idaho's National Breast and Cervical Cancer Early Detection Program Population, 2004"2012 - CDC |
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. |
| population-based breast cancer | 0.546571 |
| breast cancer control | 0.528767 |
| WHC program | 0.638049 |
| nonlinked breast cancer | 0.623352 |
| WHC linkage status | 0.551104 |
| WHC | 0.673522 |
| WHC screening | 0.525216 |
| nonlinked cancers | 0.63839 |
| cause-specific survival | 0.576836 |
| Idaho WHC | 0.571455 |
| cervical cancer screening | 0.636908 |
| cancer survival proportions | 0.5543 |
| Breast Cancer Early | 0.530507 |
| cervical cancer | 0.733509 |
| NBCCEDP-linked breast cancer | 0.549746 |
| invasive breast cancer | 0.597559 |
| invasive breast cancers | 0.560294 |
| women | 0.638224 |
| cause-specific breast cancer | 0.653302 |
| female breast cancers | 0.552803 |
| WHC-linked breast cancers | 0.602049 |
| late-stage breast cancer | 0.5513 |
| stage breast cancer | 0.543421 |
| breast cancer diagnosis | 0.601757 |
| early detection program | 0.585858 |
|
| Idaho WHC program | 0.570816 |
| nonlinked breast cancers | 0.649465 |
| breast cancer surgeries | 0.534674 |
| WHC-linked breast cancer | 0.64522 |
| cancer registries | 0.5252 |
| breast cancers | 0.702827 |
| stage distribution | 0.525229 |
| cancer screening rates | 0.548591 |
| regional breast cancers | 0.553101 |
| Cancer Res Treat | 0.527282 |
| National Breast | 0.543352 |
| breast cancer screening | 0.597895 |
| federal poverty guidelines | 0.529843 |
| breast cancer survival | 0.709393 |
| Idaho WHC enrollees | 0.564104 |
| WHC database | 0.579649 |
| breast cancer | 0.936293 |
| cancer early detection | 0.603625 |
| breast cancer cases | 0.563344 |
| WHC data | 0.524041 |
| breast cancer disparities | 0.534964 |
| breast cancer incidence | 0.526237 |
| WHC-linked cancers | 0.62657 |
| Breast Cancer Res | 0.582074 |
|
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| 13021 |
Centers for Disease Control and Prevention |
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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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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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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 |
|
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