| 1209 |
Centers for Disease Control and Prevention |
Html |
en |
Tobacco Product Use Among Adults - United States,2012-2013 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| tobacco ingredient | 0.42895 |
| electronic cigarettes | 0.376032 |
| additional tobacco products | 0.463247 |
| tobacco product type | 0.489304 |
| tobacco control programs | 0.483288 |
| т‰Ѕ1 combustible tobacco | 0.481939 |
| specific tobacco products | 0.471963 |
| little cigars | 0.588375 |
| comprehensive tobacco control | 0.460037 |
| comprehensive state tobacco | 0.440623 |
| tobacco product prices | 0.463172 |
| water pipes/hookahs | 0.412812 |
| following tobacco product | 0.514949 |
| regular pipes | 0.475303 |
| tobacco products | 0.992298 |
| mass media campaigns | 0.384184 |
| cigarettes | 0.410579 |
| combustible tobacco product | 0.533889 |
| Smokeless tobacco users | 0.444658 |
| current tobacco | 0.441248 |
| United States | 0.382421 |
| tobacco price increases | 0.470535 |
| comprehensive smoke-free laws | 0.385094 |
| tobacco use measures | 0.424121 |
|
| cigars/cigarillos/filtered little cigars | 0.365858 |
| prevalence estimates | 0.365864 |
| cigarette smoking | 0.417254 |
| occasional tobacco | 0.456858 |
| т‰Ѕ1 tobacco products | 0.48983 |
| self-reported tobacco | 0.42571 |
| Adult Tobacco Survey | 0.500042 |
| tobacco taxes | 0.421884 |
| tobacco product types | 0.575051 |
| tobacco product | 0.875652 |
| different tobacco product | 0.477066 |
| dissolvable tobacco products | 0.727136 |
| tobacco product type.* | 0.474066 |
| U.S. adults | 0.434817 |
| annual household income | 0.378012 |
| water pipes/hookah | 0.431154 |
| dissolvable tobacco product | 0.462996 |
| smokeless tobacco products | 0.483039 |
| tobacco use definitions | 0.421491 |
| Tobacco use prevalence | 0.459518 |
| smokeless tobacco | 0.570627 |
| National Adult Tobacco | 0.499727 |
| respective tobacco product | 0.458922 |
| combustible tobacco products | 0.492443 |
|
CLICK HERE |
| 6474 |
Centers for Disease Control and Prevention |
Html |
en |
Prevalence of asthma among adults in metropolitan versus nonmetropolitan areas in Montana, 2008 |
The objective of this study was to compare the prevalence of asthma among adults living in metropolitan versus nonmetropolitan counties in Montana. |
| potential respondents | 0.32404 |
| United States | 0.48823 |
| current asthma prevalence | 0.463037 |
| logistic regression analyses | 0.354863 |
| NMNA counties | 0.352648 |
| NMNA respondents | 0.326313 |
| Human Services | 0.316175 |
| Risk Factor Surveillance | 0.355343 |
| health insurance status | 0.434816 |
| Metro counties | 0.316587 |
| younger respondents | 0.351386 |
| nonwhite respondents | 0.332844 |
| rural areas | 0.436078 |
| asthma prevalence | 0.7063 |
| current asthma | 0.618241 |
| prevalence estimates | 0.375534 |
| public health | 0.356965 |
| Rural-Urban Continuum Codes | 0.365209 |
| lower annual household | 0.343032 |
| similar prevalence rates | 0.342682 |
| Montana | 0.439779 |
| metropolitan versus | 0.327131 |
| self-reported asthma | 0.875559 |
|
| multivariable logistic regression | 0.36183 |
| Asthma Call-back Survey | 0.390825 |
| versus nonmetropolitan counties | 0.368869 |
| self-reported current asthma | 0.507405 |
| metropolitan areas | 0.319628 |
| body mass index | 0.366684 |
| Obese respondents | 0.35949 |
| nonmetropolitan counties | 0.518498 |
| annual household income | 0.704797 |
| asthma | 0.976911 |
| urban areas | 0.350002 |
| potential geographic variation | 0.342566 |
| population | 0.320873 |
| respondents | 0.590842 |
| demographic risk factors | 0.338256 |
| Asthma Control Program | 0.427773 |
| current self-reported asthma | 0.696858 |
| sociodemographic characteristics | 0.337352 |
| metropolitan area | 0.326743 |
| American Indian/Alaska Native | 0.34302 |
| metropolitan county | 0.435397 |
| Behavioral Risk Factor | 0.359453 |
| self-reported asthma status | 0.425227 |
|
CLICK HERE |
| 7608 |
Centers for Disease Control and Prevention |
Html |
en |
Tuberculosis (TB) Treatment |
null |
| result | 0.227239 |
| latent TB infection | 0.987967 |
| TB disease. | 0.491314 |
| following populations | 0.302982 |
|
| TB disease | 0.76078 |
| TB-related conditions | 0.300505 |
| TB bacteria | 0.566294 |
| additional considerations | 0.298824 |
|
CLICK HERE |
| 7691 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: National Chronic Obstructive PulmonaryDisease COPD Awareness Month - November 2012 |
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. |
| mmwrq@cdc.gov. | 0.355487 |
| COPD advocacy groups | 0.76633 |
| Human Services | 0.424948 |
| assistive technology | 0.356168 |
| MMWR HTML versions | 0.439678 |
| U.S. Department | 0.42337 |
| current smokers | 0.342421 |
| lung function | 0.347713 |
| electronic PDF version | 0.427155 |
| early detection | 0.334937 |
| National Heart | 0.459244 |
| health professionals | 0.343714 |
| Tobacco smoke | 0.329815 |
| risk factors | 0.329087 |
| Additional information | 0.331825 |
| Contact GPO | 0.354049 |
| Breathe Better campaign | 0.472644 |
| commercial sources | 0.329589 |
| simple breathing test | 0.441267 |
| respiratory infections | 0.353373 |
| current prices | 0.330483 |
| Blood Institute | 0.46226 |
| COPD Learn | 0.648248 |
| smoking cessation | 0.330797 |
|
| original paper copy | 0.433704 |
| National COPD Awareness | 0.778218 |
| chronic bronchitis | 0.358256 |
| geographic region | 0.336973 |
| obstructive pulmonary disease | 0.469101 |
| United States | 0.341978 |
| U.S. Government Printing | 0.448192 |
| original MMWR paper | 0.435386 |
| health-care providers | 0.359313 |
| occupational exposure | 0.330406 |
| MMWR readers | 0.337016 |
| character translation | 0.323663 |
| respiratory diseases | 0.367588 |
| format errors | 0.324648 |
| predominantly COPD | 0.657976 |
| subject line | 0.352661 |
| typeset documents | 0.331195 |
| trade names | 0.329677 |
| official text | 0.32225 |
| U.S. COPD Coalition | 0.980113 |
| health-care provider | 0.351629 |
| non-CDC sites | 0.329054 |
| collective term | 0.337824 |
| sputum production | 0.332358 |
|
CLICK HERE |
| 7978 |
Centers for Disease Control and Prevention |
Html |
en |
Solve the Outbreak Application - Mobile Applications |
CDC - Solve the Outbreak Application. Download it free from the app store today. |
| CDC Website | 0.41133 |
| new honors | 0.349803 |
| disease detectives | 0.918813 |
| unlock level | 0.373144 |
| exciting updates | 0.392384 |
| fictional outbreaks | 0.527068 |
| challenging scenarios | 0.348216 |
| germ nerd | 0.371171 |
| different outbreaks | 0.560415 |
| mobile tablet | 0.418293 |
| new outbreak | 0.731095 |
| free app | 0.476194 |
| higher your score | 0.349484 |
| Solve | 0.21423 |
|
| new outbreaks | 0.763725 |
| Outbreak application | 0.57193 |
| exciting app | 0.482216 |
| Epidemic Intelligence Service | 0.593734 |
| tough decisions | 0.366095 |
| better your answers | 0.346154 |
| wrong answers | 0.354727 |
| real-life Disease Detectives | 0.608823 |
| great new way | 0.550335 |
| lab results | 0.366971 |
| fascinating peek | 0.360213 |
| CDC’s disease | 0.441742 |
| free tablet app | 0.660835 |
|
CLICK HERE |
| 8051 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement: New Recommendations from the CommunityPreventive Services Task Force Available Online |
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. |
| mmwrq@cdc.gov. | 0.598854 |
| Task Force | 0.919612 |
| prevention experts | 0.590416 |
| CDC | 0.608153 |
| endorsement | 0.546771 |
| Human Services | 0.746888 |
| assistive technology | 0.603123 |
| U.S. Department | 0.750455 |
| MMWR HTML versions | 0.654836 |
| electronic PDF version | 0.649671 |
| new information | 0.596978 |
| e-mail | 0.530945 |
| Preventive | 0.515181 |
| population health | 0.5925 |
| Contact GPO | 0.602777 |
| commercial sources | 0.586941 |
| decision makers | 0.586318 |
| current prices | 0.58218 |
| Electronic Screening | 0.59074 |
| original paper copy | 0.645607 |
| programs | 0.527871 |
| Excessive Alcohol Consumption | 0.668942 |
| wide range | 0.589413 |
| original MMWR paper | 0.651207 |
|
| U.S. Government Printing | 0.649609 |
| Superintendent | 0.516193 |
| unpaid panel | 0.592366 |
| assistance | 0.516137 |
| title | 0.515177 |
| MMWR readers | 0.589301 |
| character translation | 0.581781 |
| technical support | 0.588236 |
| file | 0.516241 |
| Persons | 0.516304 |
| public health | 0.597149 |
| format errors | 0.583929 |
| Brief Intervention | 0.591629 |
| http://www.thecommunityguide.org/alcohol/esbi.html | 0.515593 |
| subject line | 0.593907 |
| typeset documents | 0.587352 |
| trade names | 0.587017 |
| Services Task Force | 0.73237 |
| official text | 0.580557 |
| non-CDC sites | 0.58544 |
| report | 0.515165 |
| Accommodation | 0.51519 |
| electronic conversions | 0.582577 |
| printable versions | 0.578314 |
|
CLICK HERE |
| 8769 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: May 9, 2013 | CDC Media Relations |
CDC Media Relations - MMWR News Synopsis: April 24, 2013 |
| health care providers | 0.612932 |
| care needs | 0.465762 |
| health care provider | 0.617707 |
| previously approved products | 0.571949 |
| new products | 0.451975 |
| blood pressure management | 0.603111 |
| possible causes | 0.47151 |
| CDC
Division | 0.509937 |
| clinical trials | 0.467853 |
| financial planning | 0.468214 |
| culturally appropriate community | 0.618719 |
| family members | 0.47094 |
| blood pressure | 0.923403 |
| considerable challenges. | 0.489513 |
| health-care coverage | 0.478135 |
| hypertension control | 0.551247 |
| social activities | 0.473971 |
| appropriate resources | 0.480859 |
| Immunization Practices | 0.451362 |
| individual support | 0.460164 |
| Annual influenza vaccination | 0.618461 |
| blood pressure goals | 0.604391 |
| HUMAN SERVICES | 0.452992 |
| potentially reversible causes | 0.626405 |
| hypertension treatment | 0.561606 |
|
| multi-factorial approach | 0.460439 |
| Improving blood pressure | 0.614162 |
| 2013-2014 influenza season | 0.61386 |
| effective patient tracking | 0.588478 |
| acceptable alternatives | 0.448131 |
| cognitive decline | 0.857342 |
| blood pressure control | 0.608625 |
| Advisory Committee | 0.449185 |
| U.S. DEPARTMENT | 0.453189 |
| health care | 0.622373 |
| influenza vaccine products | 0.622052 |
| Whites. Non-Hispanic Blacks | 0.638667 |
| influenza vaccines | 0.493084 |
| optimal medical treatment | 0.604665 |
| Electronic Media | 0.803622 |
| Racial/ethnic disparities | 0.472143 |
| greater hypertension awareness | 0.685742 |
| lower awareness | 0.457362 |
| older reported confusion | 0.671189 |
| appropriate treatment | 0.496919 |
| high blood pressure | 0.616093 |
| gradual loss | 0.49141 |
| memory loss | 0.644569 |
| particular product | 0.448541 |
|
CLICK HERE |
| 10624 |
Centers for Disease Control and Prevention |
Html |
en |
Creating the MAHC: Steering Committee | Model Aquatic Health Code |
null |
| date | 0.326433 |
| editorial control | 0.431576 |
| NOTICE | 0.328415 |
| CDC Contractor | 0.43143 |
| Laina Breazeale | 0.469516 |
| historical purposes | 0.453429 |
| Committee members | 0.439732 |
| individuals | 0.321013 |
| MAHC Coordinator | 0.445708 |
| content | 0.32656 |
| chairpersons | 0.336537 |
| products | 0.321678 |
| priorities | 0.328522 |
| Department | 0.321195 |
| oversight | 0.329259 |
| Technical Committees | 0.811586 |
| Douglas C. Sackett | 0.556155 |
| operational documents | 0.434857 |
|
| MAHC process | 0.62325 |
| Health Code homepage | 0.55486 |
| MAHC Writer-Editor | 0.466468 |
| member Steering Committee | 0.654082 |
| New York State | 0.535543 |
| web page | 0.454751 |
| MAHC development process | 0.570772 |
| Jasen Kunz | 0.457054 |
| planning | 0.323036 |
| Steering Committee | 0.986801 |
| Model Aquatic Health | 0.737608 |
| current information | 0.442711 |
| materials | 0.321624 |
| activities | 0.322868 |
| MAHC Steering Committee | 0.730047 |
| Aquatic Health Code | 0.737397 |
| objectives | 0.328564 |
|
CLICK HERE |
| 10765 |
Centers for Disease Control and Prevention |
Html |
en |
Utah Success Story: Gestational Diabetes Mellitus - Pregnancy Risk Assessment Monitoring System - Reproductive Health |
Utah Success Story: Gestational Diabetes Mellitus, Pregnancy Risk Assessment Monitoring System |
| Program Activity | 0.36574 |
| patient education materials | 0.318214 |
| medical records personnel | 0.337311 |
| wide variation | 0.200316 |
| maternal self-report | 0.265482 |
| 6-week postpartum visit | 0.74177 |
| Utah PRAMS | 0.354285 |
| appropriate women | 0.219648 |
| GDM | 0.595645 |
| birth certificates | 0.647957 |
| PRAMS survey revision | 0.488615 |
| self-reported data | 0.409278 |
| gestational diabetes | 0.929333 |
| data entry program | 0.35055 |
| PRAMS survey | 0.524073 |
| American College | 0.207033 |
| Diabetes Prevention | 0.348786 |
|
| Vital Records staff | 0.344441 |
| Utah women | 0.253984 |
| hospital maternal worksheet | 0.395718 |
| regular intervals | 0.209224 |
| birth certificate | 0.366304 |
| infant health program | 0.588767 |
| gestational diabetes mellitus | 0.701287 |
| gestational diabetes fields | 0.559614 |
| Insufficient data | 0.22982 |
| Vital Records | 0.4486 |
| lifetime risk | 0.219063 |
| chart review process | 0.580602 |
| GDM diagnosis | 0.442675 |
| diabetes data | 0.406111 |
| past decade | 0.223591 |
| Utah mothers | 0.208639 |
|
CLICK HERE |
| 11449 |
Centers for Disease Control and Prevention |
Html |
en |
HIV/AIDS, Viral Hepatitis, STDs & Tuberculosis |
CDC protects all Americans from disease, disability, and death through immunization and by controlling respiratory and other preventable diseases. |
| global TB prevention | 0.901355 |
| exciting news | 0.51117 |
| CDC | 0.391045 |
| modes | 0.341691 |
| difficult treatment | 0.503206 |
| important gains | 0.511612 |
| risk behaviors | 0.76712 |
| health inequalities | 0.533003 |
| school nurse | 0.500622 |
| risk factors | 0.536228 |
| overlapping epidemics | 0.560408 |
| multidrug-resistant tuberculosis | 0.574514 |
| free treatment | 0.499997 |
| excitement | 0.343311 |
| Esteban | 0.418351 |
| major threat | 0.503844 |
| sexually transmitted diseases | 0.758407 |
| transmission—with tuberculosis | 0.630806 |
| Asian Americans | 0.535454 |
| page | 0.343577 |
| 1M | 0.365976 |
| common risk behaviors | 0.762547 |
| sexual risk behaviors | 0.723913 |
| valuable support | 0.502389 |
| Danielle | 0.396767 |
|
| expensive drugs | 0.504893 |
| South Carolina TB | 0.888131 |
| South Carolina couple | 0.689895 |
| dark spot | 0.502668 |
| world | 0.361418 |
| PDF | 0.343552 |
| older girl | 0.503279 |
| hepatitis B campaign | 0.551432 |
| MDR TB | 0.883456 |
| share | 0.341781 |
| place | 0.339899 |
| young Ethiopian girls | 0.700543 |
| Control Program | 0.494532 |
| viral hepatitis | 0.581795 |
| cases | 0.39841 |
| drug-resistant diseases | 0.520133 |
| adoption agency | 0.516522 |
| TB control nurse | 0.887698 |
| people | 0.382524 |
| bad news came—it | 0.664553 |
| international child | 0.51495 |
| chronic hepatitis | 0.544897 |
| HIV | 0.380974 |
| STDs | 0.424716 |
|
CLICK HERE |