| 736 |
Centers for Disease Control and Prevention |
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FluVaxView: Pregnant Women and Flu Vaccination, Internet Panel Survey, United States, November 2013 |
CDC Centers for Disease Control and Prevention Influenza Flu - findings from the Internet Panel Survey of pregnant women flu vaccination in the United States for the 2013-14 flu seasons. |
| seasonal flu vaccination | 0.352189 |
| 2009-10 flu season | 0.286902 |
| national flu vaccination | 0.316887 |
| early season | 0.262327 |
| early flu season | 0.280372 |
| vaccination campaigns | 0.201382 |
| flu season vaccination | 0.314629 |
| flu season¶ | 0.24873 |
| vaccination status questions | 0.234813 |
| severe flu | 0.232842 |
| higher vaccination coverage | 0.229942 |
| flu vaccine | 0.309334 |
| Page | 0.214975 |
| flu season coverage | 0.288938 |
| flu activity | 0.25211 |
| flu vaccination coverage | 0.92287 |
| early season estimates | 0.213243 |
| Influenza vaccination coverage | 0.213962 |
| pregnant women | 0.908531 |
| Internet panel survey | 0.362648 |
| unvaccinated pregnant women | 0.213723 |
| Inform pregnant women | 0.213388 |
| flu shots | 0.300982 |
|
| Vaccination eligibility | 0.207349 |
| end-of-season flu vaccination | 0.316434 |
| National Influenza Vaccination | 0.222568 |
| estimates | 0.261378 |
| high-risk conditions | 0.207105 |
| flu seasons | 0.236653 |
| H1N1 Flu Survey | 0.285332 |
| Peak flu activity | 0.247138 |
| pregnancy | 0.253569 |
| Younger pregnant women | 0.220856 |
| flu illness | 0.247377 |
| single flu season | 0.261634 |
| flu activity increases | 0.246708 |
| season vaccination coverage | 0.250917 |
| 2012-13 flu season | 0.287879 |
| flu shot | 0.354452 |
| college degree | 0.204545 |
| similar vaccination coverage | 0.232896 |
| current vaccination efforts | 0.210842 |
| vaccination period | 0.202368 |
| Internet panel | 0.515108 |
| Internet panel surveys | 0.340715 |
| flu season | 0.755445 |
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| 1037 |
Centers for Disease Control and Prevention |
Html |
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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Centers for Disease Control and Prevention |
Html |
en |
Cleaning up after rodents |
null |
| Wear rubber | 0.928409 |
| urine | 0.754055 |
| dead rodents | 0.632426 |
| rodent droppings | 0.741242 |
| rodent urine | 0.697255 |
| paper towel | 0.829707 |
| rodents | 0.723409 |
| rodent exposure | 0.618851 |
| bleach | 0.836788 |
| rodent infestations | 0.778156 |
| Mop floors | 0.70512 |
| hot water | 0.59862 |
| disinfectant solution | 0.656577 |
| storage areas | 0.582562 |
| area | 0.64178 |
| disinfectant | 0.80617 |
| laundry detergent | 0.583022 |
| professional rodent | 0.593434 |
| clean countertops | 0.694187 |
| heavy rodent infestation | 0.689569 |
| heavy rodent infestations | 0.677585 |
| fresh air | 0.669027 |
| airing-out period | 0.60517 |
| disinfection time | 0.595163 |
| water solution | 0.854473 |
|
| alcohol-based hand rub | 0.733609 |
| commercial disinfectant | 0.739042 |
| household disinfectant | 0.642593 |
| dead rodent | 0.673033 |
| dirt floors | 0.582073 |
| Rodent nesting materials | 0.700549 |
| liquid disinfectant | 0.626972 |
| nitrile gloves | 0.571522 |
| rodent infestation | 0.786681 |
| spray dirt floors | 0.572217 |
| Soak rodent | 0.631557 |
| waterless alcohol-based hand | 0.732617 |
| potentially contaminated materials | 0.612377 |
| shampoo upholstered furniture | 0.584307 |
| vinyl gloves | 0.93092 |
| parts bleach | 0.592501 |
| nesting materials | 0.980418 |
| parts water | 0.60468 |
| sunlight inactivate hantaviruses | 0.573907 |
| rodent population | 0.595467 |
| plastic bags | 0.578022 |
| droppings | 0.884306 |
| cooling ventilation systems | 0.675889 |
| bleach solution | 0.666831 |
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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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| 8656 |
Centers for Disease Control and Prevention |
Html |
en |
Hot Tub Rash - Recreational Water Illness (RWI) |
null |
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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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| 10379 |
Centers for Disease Control and Prevention |
Html |
en |
EID News Synopsis: April 2014 | CDC Media Relations |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| CDC | 0.804801 |
| Infectious Disease journal | 0.779145 |
| CDC study | 0.804214 |
| gastrointestinal illnesses | 0.700407 |
| northern Africa | 0.708894 |
| Contact Harrell W. | 0.782109 |
| NCHHSTP Press Office | 0.770008 |
| antimicrobial resistance | 0.897216 |
| harmful bacteria | 0.858706 |
| Gonococcal Isolate Surveillance | 0.776016 |
| p.m. ET | 0.699515 |
| eye worm infection | 0.760176 |
| Cape Town Division | 0.759205 |
| Gail Moede Rogall | 0.752617 |
| greatest risk | 0.700756 |
| harmless bacteria | 0.751493 |
| city-level gonorrhea incidence | 0.846287 |
| option. Emerging cephalosporin | 0.782189 |
| immense health consequences | 0.800271 |
| highest risk | 0.860952 |
| widespread drug resistance | 0.853645 |
| shorten response times | 0.756593 |
| economic consequences | 0.705434 |
| central Africa | 0.708906 |
| resistance genes | 0.831691 |
|
| Infectious Diseases | 0.784655 |
| pet trade markets | 0.755652 |
| Petra F.G. Wolffs | 0.763229 |
| United States | 0.888099 |
| antimicrobial resistance data | 0.871852 |
| large collaborative effort | 0.751764 |
| Wildlife Health Center | 0.773264 |
| swamp eels | 0.70683 |
| sub-Saharan Africa | 0.708686 |
| public health journal | 0.811314 |
| antibiotic resistance | 0.84968 |
| Contact Rebecca A. | 0.753285 |
| popular tourist destination | 0.754315 |
| western Africa | 0.758356 |
| ciprofloxacin resistance | 0.788027 |
| greatest health risks | 0.769533 |
| public health measures | 0.76809 |
| gonorrhea prevention | 0.770878 |
| various illnesses | 0.699013 |
| ethnic food markets | 0.76223 |
| gonorrhea cases | 0.921686 |
| international travelers | 0.701905 |
| substantial health | 0.70845 |
| genes increases | 0.708427 |
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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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| 12352 |
Centers for Disease Control and Prevention |
Html |
es |
Hable con su proveedor de atención médica |
En honor al Mes Nacional de Prevención de los Defectos de Nacimiento, haga un PACTO para estar sana —física y mentalmente— antes de quedar embarazada y durante el embarazo para aumentar sus probabilidades de tener un bebé sano. |
| causa defectos | 0.734026 |
| Show Your Love | 0.589457 |
| suficiente información | 0.509069 |
| Archivo Apple Quicktime | 0.584933 |
| Archivo RealPlayer | 0.513633 |
| Archivo Microsoft PowerPoint | 0.597326 |
| Archivo Adobe PDF | 0.581621 |
| Estados Unidos | 0.512497 |
| Archivo Microsoft | 0.919194 |
|
| Archivo Microsoft Word | 0.59557 |
| Archivo Texto | 0.507688 |
| Mes Nacional | 0.809621 |
| cdc llamada tratamiento | 0.666015 |
| Archivo Zip Comprimido | 0.583579 |
| Defectos Congénitos | 0.71327 |
| Archivo Microsoft Excel | 0.581305 |
| principales defectos | 0.715781 |
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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 |
|
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