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Centers for Disease Control and Prevention |
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Graphs of the Year: Nightmare bacteria spread and 100,000 smokers likely quit with Tips | CDC Newsroom | CDC |
CDC’s Graphs of the Year: Nightmare bacteria spread and 100,000 smokers likely quit with Tips |
| CDC recommendations | 0.528949 |
| smoking-related disease | 0.417335 |
| Nation’s Health | 0.389265 |
| 50th anniversary | 0.385005 |
| nightmare bacteria | 0.426275 |
| lung cancer | 0.380921 |
| additional website visits | 0.533447 |
| original goal | 0.387459 |
| hospital leaders | 0.39436 |
| Disease Control | 0.387203 |
| secondhand smoke | 0.370092 |
| medical facility | 0.409423 |
| non-smokers | 0.241128 |
| Smokers campaign | 0.632058 |
| additional calls | 0.377662 |
| Americans | 0.349948 |
| health challenges | 0.380307 |
| strongest antibiotics | 0.417183 |
| eye | 0.236077 |
| daily smokers | 0.488711 |
| painful effects | 0.377818 |
| CRE | 0.390189 |
| HUMAN SERVICES | 0.374105 |
| nightmare bacteria. | 0.426059 |
| Director Tom Frieden | 0.902574 |
|
| health worries | 0.394937 |
| United States | 0.555423 |
| Tips campaign | 0.383457 |
| cigarette smoking | 0.423488 |
| U.S. DEPARTMENT | 0.374338 |
| preventable death | 0.389763 |
| M.P.H | 0.245906 |
| health care expenses | 0.535844 |
| public health | 0.405225 |
| taxpayer-supported payments | 0.37595 |
| n’t work | 0.395059 |
| likely quit smoking | 0.591969 |
| plasmids | 0.247922 |
| CDC Director Tom | 0.980445 |
| Smoking-related diseases | 0.408935 |
| Healthcare facilities | 0.38888 |
| people | 0.26395 |
| Surgeon General | 0.380583 |
| carbapenem-resistant Enterobacteriaceae | 0.413458 |
| microbes | 0.283083 |
| potentially untreatable infections | 0.599243 |
| report | 0.263873 |
| antibiotic resistance threat | 0.557988 |
| medical facilities | 0.407448 |
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Science Clips - Monday, April 05, 2010 |
null |
| endorsement | 0.374074 |
| Prevalence | 0.320102 |
| Issue | 0.320056 |
| current awareness | 0.397539 |
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| Disease Control | 0.394967 |
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| article | 0.327462 |
| DHHS | 0.420349 |
| DISCLAIMER | 0.323153 |
| public domain | 0.404358 |
| Stephen B. Thacker | 0.687446 |
| Emergency department visits | 0.485898 |
| dementia | 0.317908 |
| Rubella virus genotypes | 0.514346 |
|
| items | 0.338856 |
| components | 0.318669 |
| Nocardia niwae sp. | 0.482362 |
| United States | 0.400098 |
| inclusion | 0.317082 |
| China | 0.316857 |
| omission | 0.324041 |
| views | 0.328158 |
| informational purposes | 0.389958 |
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| B. Thacker CDC | 0.822501 |
| original authors | 0.395813 |
| endemic viruses | 0.405101 |
| opinion | 0.328796 |
| non-CDC Websites | 0.394879 |
| original sources | 0.405787 |
| Vol. | 0.320076 |
| service | 0.317553 |
| news sources | 0.397326 |
| report | 0.318694 |
| Thacker CDC Library | 0.822326 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Expansion of Electronic HealthRecord-Based Screening, Prevention, and Management of Diabetes inNew York City - CDC |
To address the increasing burden of diabetes in New York City, we designed 2 electronic health records (EHRs)-facilitated diabetes management systems to be implemented in 6 primary care practices on the West Side of Manhattan, a standard system and an enhanced system. The standard system includes screening for diabetes. |
| diabetes prevention | 0.654428 |
| standard diabetes management | 0.62832 |
| Diabetes Educ | 0.534914 |
| IT-based diabetes management | 0.534008 |
| primary care physician | 0.486341 |
| HbA1c measurement | 0.46943 |
| New York City | 0.542709 |
| Vermont Diabetes Information | 0.510165 |
| final hba1c | 0.504446 |
| primary care practices | 0.554767 |
| primary care practice | 0.548624 |
| newly diagnosed diabetes | 0.720095 |
| participant HbA1c levels | 0.500942 |
| evidence-based diabetes management | 0.577525 |
| HbA1c tests | 0.565697 |
| patients | 0.502541 |
| baseline HbA1c | 0.524879 |
| HbA1c values | 0.482436 |
| enhanced diabetes management | 0.640965 |
| HbA1c measures | 0.47416 |
| established diabetes prevention | 0.547318 |
| chronic care model | 0.525809 |
| log-transformed HbA1c measure | 0.487378 |
| new-onset diabetes | 0.501683 |
|
| primary care clinics | 0.48976 |
| diabetes care | 0.708109 |
| diabetes screening | 0.5086 |
| HbA1c test | 0.47077 |
| HbA1c levels | 0.660464 |
| HbA1c measurements | 0.502134 |
| health care | 0.631659 |
| health care systems | 0.472761 |
| New York | 0.675889 |
| Diabetes Cost-Effectiveness Study | 0.532528 |
| electronic health records | 0.50425 |
| previously undiagnosed diabetes | 0.542974 |
| diabetes management systems | 0.625326 |
| routine diabetes care | 0.608804 |
| diabetes prevention behaviour | 0.531707 |
| diabetes management | 0.823149 |
| Diabetes Prevention Program | 0.559978 |
| et al | 0.554064 |
| patient-centered medical home | 0.490998 |
| primary care | 0.711042 |
| American Diabetes Association | 0.594074 |
| HbA1c improvements | 0.484266 |
| HbA1c outcomes | 0.471203 |
| diabetes | 0.921546 |
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Centers for Disease Control and Prevention |
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Climate Change and Health - Health Communication |
Climate Change and Health - Gateway to Health Communication - CDC |
| extent | 0.528952 |
| greenhouse gases | 0.57591 |
| faster increase | 0.574848 |
| GHGs | 0.5515 |
| basic requirements | 0.63385 |
| number | 0.512174 |
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| homes | 0.513271 |
| clean air | 0.568717 |
| heat stroke | 0.56507 |
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| Daniel | 0.554377 |
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| quality | 0.513247 |
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| coal | 0.512191 |
| heat waves | 0.565416 |
| health effects | 0.685639 |
| specific health risks | 0.62413 |
|
| mid-July heat wave | 0.622812 |
| improved health | 0.568046 |
| teammate notices | 0.565302 |
| major decadal changes | 0.647936 |
| GHG emissions | 0.639404 |
| hot skin | 0.562431 |
| recent decades | 0.577251 |
| life | 0.513241 |
| result | 0.52627 |
| ways | 0.524273 |
| oil | 0.513309 |
| common Heat Related | 0.619608 |
| global climate change | 0.779692 |
| football player | 0.564102 |
| 17-year-old high school | 0.620721 |
| rainfall | 0.515221 |
| human activities | 0.635827 |
| burning fossil fuels | 0.637491 |
| interventions | 0.512418 |
| future climate change | 0.678875 |
| wind patterns | 0.578126 |
| earth | 0.557107 |
| sufficient food | 0.572757 |
| excess deaths | 0.575466 |
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Centers for Disease Control and Prevention |
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Vital Signs: Overdoses of Prescription Opioid Pain Relieversand Other Drugs Among Women - United States, 1999-2010 |
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. |
| highest ED visit | 0.41494 |
| OPR | 0.731784 |
| long-term OPR | 0.461925 |
| Cocaine deaths | 0.421751 |
| prescription drugs | 0.399692 |
| OPR overdose death | 0.553641 |
| OPR overdose deaths | 0.720211 |
| suicide drug overdose | 0.442813 |
| Drug Abuse Warning | 0.437945 |
| drug monitoring program | 0.388294 |
| opioid pain relievers | 0.425961 |
| bridged-race population estimates | 0.386441 |
| National Vital Statistics | 0.395136 |
| OPR abuse | 0.477697 |
| Abuse Warning Network | 0.409921 |
| injury deaths | 0.403036 |
| abuse-related ED visits | 0.559327 |
| prescription drug monitoring | 0.430819 |
| ED visit rates | 0.525261 |
| OPR deaths | 0.636882 |
| drug-related deaths | 0.412691 |
| Drug poisoning deaths | 0.455089 |
| women | 0.604918 |
| OPR overdoses | 0.469726 |
| United States | 0.448695 |
|
| drug overdoses | 0.435783 |
| ED visits | 0.868651 |
| health-care providers | 0.435684 |
| OPR misuse | 0.481382 |
| overdose death rates | 0.509503 |
| overdose–related suicide deaths | 0.417329 |
| drug-specified deaths | 0.399076 |
| OPR death rates | 0.500521 |
| prescription drug overdose | 0.490215 |
| unintentional pharmaceutical overdose | 0.405107 |
| Age-adjusted drug overdose | 0.47325 |
| OPR rate | 0.470664 |
| substance abuse | 0.410037 |
| heroin deaths | 0.400617 |
| overdose death rate | 0.439839 |
| public health | 0.398002 |
| fatal drug overdoses | 0.391209 |
| drug overdose deaths | 0.907127 |
| hospital ED visits | 0.397489 |
| drug overdose death | 0.603426 |
| prescription OPR | 0.475307 |
| highest drug overdose | 0.443439 |
| chronic opioid therapy | 0.393685 |
| et al | 0.427215 |
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Centers for Disease Control and Prevention |
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Prepare su casa|Temporada invernal |
Tomar medidas preventivas es su mejor protección contra las temperaturas frías extremas. Usted puede reducir el riesgo de sufrir afecciones atribuidas a las condiciones climáticas si prepara su casa y auto con antelación para las emergencias de invierno y si toma precauciones de seguridad durante las temperaturas extremadamente frías. |
| Archivo Apple Quicktime | 0.608606 |
| Archivo RealPlayer | 0.487389 |
| Archivo Zip Comprimido | 0.603548 |
| Archivo Microsoft PowerPoint | 0.625342 |
|
| Archivo Adobe PDF | 0.604772 |
| Archivo Microsoft Excel | 0.59788 |
| Coloque masilla | 0.523119 |
| Archivo Microsoft | 0.915959 |
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Roadmap for State Program Planning - Collect Resources and Data Establish Partnerships'State Resources'DHDSP'CDC |
null |
| current policies | 0.442928 |
| complementary resources | 0.452914 |
| potential partner organizations | 0.682049 |
| business groups | 0.439004 |
| high blood cholesterol | 0.57831 |
| San Diego | 0.445406 |
| bigger impact | 0.458721 |
| common ground | 0.442158 |
| American Stroke Association | 0.575295 |
| quick reference | 0.43586 |
| HDSP program | 0.471027 |
| Partnerships Analysis Tool | 0.6977 |
| important vehicle | 0.461997 |
| community service | 0.457456 |
| community events | 0.442613 |
| Important steps | 0.437743 |
| political realities | 0.444269 |
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| quality assurance | 0.446284 |
| Educate potential partners | 0.610266 |
| heart health | 0.473467 |
| business cards | 0.446513 |
| share responsibility | 0.449443 |
| Campaign Consultation | 0.445781 |
|
| effective health promotion | 0.613909 |
| joint advocacy | 0.457444 |
| cardiovascular health | 0.603314 |
| emergency medical services | 0.577007 |
| potential partners | 0.93455 |
| burden data | 0.564552 |
| disease prevention | 0.460436 |
| state health department | 0.611763 |
| heart disease | 0.600232 |
| private sectors | 0.44926 |
| diverse partners | 0.481571 |
| health care | 0.47075 |
| Internal partnerships | 0.559943 |
| Stroke Prevention | 0.47906 |
| HDS burden | 0.475084 |
| press releases | 0.443638 |
| potential partner | 0.830894 |
| following types | 0.444303 |
| successful partnerships | 0.623751 |
| HDS-related risk factors | 0.572834 |
| vital statistics | 0.44436 |
| high blood pressure | 0.57755 |
| Sustain Institute | 0.446782 |
| business card | 0.438179 |
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Centers for Disease Control and Prevention |
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CDC - Skin Cancer Prevention Fact Sheets |
These fact sheets list skin cancer prevention strategies for parents, teachers, employers, and parks and recreation staff. |
| proven education programs | 0.621633 |
| skin cancer | 0.895654 |
| sunbathing | 0.345063 |
| UV rays | 0.443541 |
| sun-safe behaviors | 0.427367 |
| skin cancers | 0.487604 |
| parks | 0.282965 |
| su familia | 0.466486 |
| school | 0.239762 |
| long-sleeved shirt | 0.452575 |
| sun protection items | 0.605961 |
| fact sheets list | 0.660699 |
| safe workplace | 0.418285 |
| sunglasses | 0.246046 |
| recreation staff | 0.641203 |
| midday | 0.441532 |
| wide-brimmed hat | 0.439131 |
| shade | 0.359988 |
| Visitors | 0.267456 |
| discourage children | 0.495143 |
| sun protection | 0.781218 |
| Proteja | 0.278879 |
| Fellow Staff Members | 0.614851 |
| umbrellas | 0.243072 |
|
| Recess | 0.257405 |
| parents | 0.242324 |
| United States | 0.472418 |
| broad-spectrum sunscreen | 0.776448 |
| wide-brimmed hats | 0.415816 |
| layer | 0.242025 |
| high-use areas | 0.417139 |
| sus | 0.256594 |
| Stay sun-safe outdoors | 0.64538 |
| productivity | 0.278199 |
| teachers | 0.242292 |
| sun protection gear | 0.650083 |
| cáncer | 0.278727 |
| outdoor workers | 0.415293 |
| strategies | 0.242355 |
| outdoor activities | 0.428815 |
| protective clothing | 0.417559 |
| Skin Cancer. | 0.985322 |
| indoor tanning | 0.665859 |
| people | 0.246085 |
| outdoor recreational areas | 0.604227 |
| money | 0.239066 |
| sun exposure | 0.42678 |
| Family | 0.241838 |
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School District Crisis Preparedness, Response, and RecoveryPlans - United States, 2012 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| disaster preparedness planning | 0.572537 |
| school district level | 0.402299 |
| nonurban districts | 0.546919 |
| all-hazards response plans | 0.386748 |
| U.S. Department | 0.450355 |
| community preparedness | 0.379865 |
| health preparedness plans | 0.529726 |
| school districts | 0.69797 |
| school district preparedness | 0.524297 |
| infectious disease outbreaks | 0.749757 |
| mental health services | 0.685332 |
| crisis preparedness plans | 0.741056 |
| Services Emergency Preparedness | 0.432195 |
| school health policies | 0.590865 |
| disaster planning | 0.431639 |
| public health practice | 0.468586 |
| urban districts | 0.54717 |
| school preparedness plans | 0.541061 |
| schools | 0.4631 |
| school crisis preparedness | 0.487852 |
| child care facilities | 0.410765 |
| crisis preparedness | 0.795295 |
| community-based preparedness planning | 0.444437 |
| public school districts | 0.485882 |
| vulnerable population | 0.400192 |
|
| districts | 0.74975 |
| Southern districts | 0.37385 |
| family reunification procedures | 0.604828 |
| preparedness planning | 0.652021 |
| school disaster planning | 0.383747 |
| pandemic influenza | 0.510795 |
| school district–level data | 0.388573 |
| census regions | 0.394579 |
| Healthy People | 0.39165 |
| special needs | 0.645482 |
| school staff members | 0.38452 |
| community partners | 0.411147 |
| staff members | 0.946565 |
| law enforcement agencies | 0.458124 |
| local mental health | 0.370412 |
| safe school environment | 0.485098 |
| school environment questionnaire | 0.477708 |
| district–based disaster preparedness | 0.467652 |
| specific topics | 0.629963 |
| local law enforcement | 0.458781 |
| unique vulnerabilities | 0.408273 |
| preparedness objectives | 0.394811 |
| school-based preparedness | 0.458887 |
| National Report Card | 0.437312 |
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Helping Everybody to Quit Smoking |
The percentage of adults who smoke cigarettes is higher among people with disabilities than people without disabilities. If more people with disabilities are included in smoking cessation programs, the percentage of those who smoke can be reduced. |
| smoking rates | 0.61589 |
| smoking prevalence | 0.570601 |
| disability | 0.575964 |
| health promotion activities | 0.520871 |
| smoking cessation resources | 0.6573 |
| Human Services | 0.5509 |
| smoking cessation treatments | 0.695427 |
| health promotion | 0.581926 |
| health promotion campaigns | 0.516235 |
| mass media campaign | 0.460589 |
| smoking cessation programs | 0.879284 |
| smoking cessation brochure | 0.648996 |
| Current Cigarette Smoking | 0.589864 |
| Inclusive smoking cessation | 0.699003 |
| U.S. Department | 0.457984 |
| cigarette smoking | 0.694626 |
| smoking cessation messages | 0.684308 |
| disability sensitivity training | 0.48943 |
| tobacco control programs | 0.679694 |
| Ethnicity Influencing Health | 0.494744 |
| long-standing diseases—like diabetes | 0.469078 |
| Michigan State University | 0.464236 |
| ethnic groups | 0.544455 |
| challenges people | 0.525594 |
|
| public health | 0.561793 |
| Public Health Program | 0.512854 |
| effective marketing materials | 0.464253 |
| Tobacco Use Prevention | 0.462372 |
| comprehensive tobacco control | 0.543391 |
| American Indian/Alaska Natives | 0.477268 |
| public health surveys | 0.52497 |
| creative advertising class | 0.455502 |
| health | 0.75047 |
| public health programs | 0.551402 |
| people | 0.867852 |
| Ohio Tobacco Quitline | 0.549996 |
| Tobacco Quitline counselors | 0.542954 |
| Quitline intake form | 0.617299 |
| disability screener question | 0.488633 |
| disabilities | 0.77853 |
| Michigan Tobacco Quitline | 0.75883 |
| employees—at Peckham Industries | 0.478352 |
| smoking cessation | 0.975476 |
| New Hampshire | 0.466419 |
| Tobacco Cessation Community | 0.586973 |
| Racial Ethn Health | 0.521177 |
| National Jewish Health | 0.646499 |
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