| 1020 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR - State Medicaid Coverage for Tobacco Cessation Treatments - Smoking & Tobacco Use |
CDC's Office on Smoking and Health offers information related to smoking and tobacco use. |
| coverage | 0.741242 |
| email updates | 0.728081 |
| access | 0.502441 |
| email address | 0.725953 |
| changes | 0.511451 |
| new barriers | 0.567204 |
| treatments | 0.848363 |
|
| states | 0.968753 |
| Tobacco | 0.515418 |
| barriers | 0.646671 |
| plans | 0.575589 |
| treatment barriers | 0.569378 |
| populations | 0.593885 |
|
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| 8311 |
Centers for Disease Control and Prevention |
Html |
en |
Definitions - Child Maltreatment |
A consistent definition is needed to monitor the incidence of child maltreatment, abuse, and/or neglect, and examine trends over time. |
| parent | 0.42403 |
| Centers | 0.421481 |
| Injury Prevention | 0.517963 |
| Leeb RT | 0.537285 |
| acts | 0.714754 |
| potential harm | 0.982119 |
| uniform definitions | 0.619536 |
| example | 0.42146 |
| teacher | 0.42645 |
| problem | 0.42151 |
| Disease Control | 0.518302 |
| Atlanta | 0.421519 |
| educational needs | 0.526112 |
| consequences | 0.425212 |
| clergy | 0.42398 |
| commission | 0.509518 |
| magnitude | 0.426594 |
| omission | 0.536941 |
| child maltreatment surveillance | 0.830939 |
| public health | 0.613444 |
| neglect | 0.4951 |
| jurisdictions | 0.42432 |
| addition | 0.41944 |
|
| National Center | 0.52204 |
| consequence | 0.470139 |
| Arias | 0.42819 |
| child abuse | 0.713273 |
| Paulozzi | 0.421882 |
| data elements | 0.613099 |
| following types | 0.655041 |
| version | 0.421688 |
| punishment | 0.427066 |
| overt actions | 0.556039 |
| Melanson | 0.433066 |
| failure | 0.452176 |
| series | 0.426634 |
| Words | 0.426128 |
| Intention | 0.429334 |
| concussion | 0.433538 |
| information | 0.422067 |
| threat | 0.462641 |
| time | 0.42185 |
| I. Child Maltreatment | 0.704408 |
| consistent definition | 0.62877 |
| coach | 0.426476 |
| incidence | 0.423749 |
|
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| 10345 |
Centers for Disease Control and Prevention |
Html |
en |
Making Health Care Safer | Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| Health Grand Rounds | 0.386178 |
| right antibiotic | 0.5501 |
| Mortality Weekly Report | 0.377915 |
| Antibiotic Prescribing Practices | 0.742449 |
| antibiotic prescription | 0.545276 |
| Tom Frieden | 0.390612 |
| Leadership commitment | 0.416068 |
| Inpatient Antibiotic Prescribing | 0.653195 |
| single pharmacist leader | 0.411639 |
| super-resistant infections | 0.406322 |
| new antibiotics | 0.420448 |
| antibiotic stewardship activities | 0.642095 |
| antibiotic prescribing | 0.834616 |
| patients | 0.333139 |
| Improves Antibiotic Prescribing | 0.65588 |
| Signs Issue details | 0.371534 |
| HAI Prevention Stories | 0.507789 |
| improved prescribing | 0.368115 |
| drug choice | 0.399905 |
| powerful antibiotics | 0.417777 |
| health care facilities | 0.396122 |
| drug-resistant Staphylococcus bacteria | 0.398966 |
| Dr. Frieden Medscape | 0.402497 |
| Health Administration hospitals | 0.430641 |
| lung infections | 0.38452 |
|
| antibiotics | 0.550676 |
| deadly diarrheal infections | 0.480387 |
| antibiotic resistance patterns | 0.683215 |
| preventable allergic reactions | 0.408945 |
| antibiotic resistance | 0.946945 |
| C. difficile infection | 0.420827 |
| improvement action | 0.402893 |
| Health Care Blog | 0.389532 |
| antibiotic prescriptions | 0.589039 |
| National Healthcare Safety | 0.389648 |
| antibiotic stewardship programs | 0.645052 |
| Clostridium difficile infection | 0.422895 |
| health care | 0.483484 |
| hospital CEOs/medical officers | 0.418766 |
| poor prescribing practices | 0.490466 |
| right duration | 0.323101 |
| common drug vancomycin | 0.410938 |
| infection control measures | 0.387323 |
| average hospital stay | 0.395168 |
| Drug expertise | 0.324995 |
| new prescribing improvement | 0.438594 |
| urinary tract infections | 0.655478 |
| Antibiotic RX | 0.580304 |
| Safer Patient Care | 0.377939 |
|
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| 10413 |
Centers for Disease Control and Prevention |
Html |
en |
State Evaluation Guides - Developing and Using a Logic Model'State Resources'DHDSP'CDC |
null |
| guide Logic Models | 0.78491 |
| new evidence | 0.62907 |
| fact | 0.522016 |
| specific intervention | 0.628238 |
| evaluation tools | 0.643327 |
| changes | 0.52188 |
| health communication campaign | 0.718295 |
| program | 0.670001 |
| stakeholders | 0.528004 |
| logic models | 0.941894 |
| assumptions | 0.530995 |
| Microsoft Word table | 0.723905 |
| potential obstacles | 0.629275 |
| relationships | 0.52266 |
| static documents | 0.632598 |
| general overview | 0.650028 |
| context | 0.550531 |
| program staff | 0.633493 |
| feedback page | 0.646385 |
| end | 0.524627 |
|
| expectations | 0.565174 |
| results | 0.522465 |
| Electronic logic model | 0.734312 |
| program efforts | 0.638271 |
| development | 0.52496 |
| Excel work sheet | 0.721994 |
| comments | 0.524918 |
| appendix | 0.52759 |
| reference point | 0.628299 |
| sample template | 0.624375 |
| resources | 0.521844 |
| State programs | 0.619338 |
| detailed view | 0.620101 |
| state plan | 0.617258 |
| planning | 0.569872 |
| effects | 0.522577 |
| likelihood | 0.568878 |
| activities | 0.544126 |
| resource commitment | 0.625474 |
| program operation | 0.633236 |
|
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| 10923 |
Centers for Disease Control and Prevention |
Html |
en |
Workers Without Paid Sick Leave May Skip Cancer Screening Tests |
Lack of paid sick leave can prevent people from getting the health care services they need. |
| data | 0.408891 |
| Berkowitz | 0.408525 |
| National Health Interview | 0.548273 |
| office | 0.40747 |
| family member | 0.446695 |
| significant difference | 0.440976 |
| health care benefits | 0.515143 |
| percentage | 0.40788 |
| Colorectal cancer screening | 0.480522 |
| professional workers | 0.446235 |
| low-paying jobs | 0.437366 |
| Soman | 0.407484 |
| Pap test | 0.471497 |
| health care services | 0.467438 |
| BMC Public Health | 0.471571 |
| Health Interview Survey | 0.54824 |
| cervical cancer | 0.477224 |
| medical care-seeking | 0.437935 |
| lack | 0.42725 |
| fecal occult blood | 0.478478 |
| person | 0.414751 |
| small difference | 0.440365 |
| Peipins | 0.410418 |
| job | 0.447136 |
| managers | 0.408159 |
|
| women | 0.439269 |
| White MC | 0.440091 |
| study | 0.425302 |
| cancer screening | 0.564495 |
| United States | 0.482615 |
| Working women | 0.43923 |
| adults | 0.408866 |
| sick leave | 0.971316 |
| medical needs | 0.446247 |
| mammogram | 0.410155 |
| workers | 0.529453 |
| colonoscopy | 0.409639 |
| Breast cancer screening | 0.475384 |
| production jobs | 0.4424 |
| smaller companies | 0.443591 |
| medical care | 0.43871 |
| doctor | 0.407475 |
| paid sick leave | 0.630734 |
| Cervical cancer screening | 0.475811 |
| major influence | 0.438675 |
| responses | 0.408385 |
| 91.9 | 0.407626 |
| clinic | 0.407467 |
| time workers | 0.45142 |
|
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| 11770 |
Centers for Disease Control and Prevention |
Html |
en |
Smoking in Pregnancy: A Possible Risk for ADHD | CDC Features |
Learn and share during ADHD Awareness Month. |
| ADHD | 0.947815 |
| oppositional defiant disorder | 0.359197 |
| prenatal smoking | 0.413503 |
| United States | 0.211402 |
| previous Surgeon General | 0.32916 |
| free quit plan | 0.322803 |
| negative effects | 0.314858 |
| 50th anniversary | 0.204612 |
| small sample sizes | 0.336519 |
| prenatal exposure | 0.690573 |
| developmental outcomes | 0.327499 |
| specific neurobehavioral disorders | 0.421096 |
| free quit coaching | 0.323053 |
|
| public health approach | 0.320676 |
| Disease Control | 0.203943 |
| children | 0.372022 |
| smoking | 0.806589 |
| maternal smoking | 0.524428 |
| behavioral outcomes | 0.201865 |
| common neurobehavioral disorders | 0.449001 |
| anxiety disorders | 0.358351 |
| disruptive behavioral disorders | 0.373223 |
| Surgeon General | 0.586828 |
| behavioral disorders | 0.504404 |
| research studies | 0.346766 |
| neurobehavioral disorders | 0.83559 |
|
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| 11948 |
Centers for Disease Control and Prevention |
Html |
en |
Essentials for Parenting Toddlers and Preschoolers |
Essentials for Parenting Toddlers and Preschoolers |
| 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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| 12645 |
Centers for Disease Control and Prevention |
Video |
en |
Self-Reflection and Risk Behaviors |
Greg Rebchook from the Center for AIDS Prevention Studies at the University of California-San Francisco discusses why HIV prevention program staff must teach young men to be self-reflective about their own HIV risk behaviors.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=80681f6596430b382382cb0f9f4f0ceb20121124115943718 |
| Risk Behaviors | 0.655591 |
| Self-reflection | 0.61428 |
|
| Empower Young Men | 0.915841 |
|
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| 13343 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Melanoma | Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| skin cancer | 0.960411 |
| UV rays | 0.524969 |
| Task Force | 0.511125 |
| skin cancer prevention | 0.724342 |
| Mortality Weekly Report | 0.504379 |
| Indoor tanning exposes | 0.540148 |
| recreation areas | 0.516334 |
| providers counsel people | 0.508707 |
| common form | 0.467459 |
| Melanoma Incidence | 0.54934 |
| Preventive Services Task | 0.505779 |
| melanoma skin cancers | 0.64193 |
| community skin cancer | 0.550442 |
| skin color | 0.488371 |
| shade structures | 0.467681 |
| melanoma | 0.690844 |
| Signs Issue details | 0.504704 |
| additional prevention efforts | 0.516792 |
| Affordable Care Act | 0.504677 |
| sun protection | 0.646875 |
| life expectancy | 0.464993 |
| mass media campaigns | 0.502162 |
| sun safety | 0.51872 |
| major role | 0.464041 |
| annual treatment costs | 0.509899 |
|
| new cases | 0.470692 |
| childcare centers | 0.520988 |
| broad-spectrum sunscreen | 0.485036 |
| public spaces | 0.514863 |
| lighter skin | 0.4876 |
| Melanoma skin cancer | 0.655401 |
| deadly form | 0.467806 |
| skin protection | 0.569827 |
| Provide sun protection | 0.520443 |
| community prevention programs | 0.532676 |
| protective clothing | 0.508542 |
| cancer prevention efforts | 0.528388 |
| indoor tanning | 0.809475 |
| annual cost | 0.517221 |
| Melanoma Survivor | 0.546663 |
| new melanoma patients | 0.613056 |
| public pools | 0.516209 |
| non-Hispanic white women | 0.511289 |
| protective clothing outdoors | 0.495772 |
| policy makers | 0.463308 |
| new melanoma cases | 0.640941 |
| Promote sun protection | 0.61737 |
| Community Preventive Services | 0.581396 |
| UV exposure | 0.513261 |
|
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| 16364 |
Centers for Disease Control and Prevention |
Html |
en |
Consumption of Combustible and Smokeless Tobacco - UnitedStates, 2000-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| combustible tobacco consumption | 0.898465 |
| United States | 0.604095 |
| annual cigarette consumption | 0.532541 |
| tobacco consumption | 0.964072 |
| total combustible tobacco | 0.694906 |
| capita cigarette consumption | 0.516272 |
| snuff consumption | 0.494669 |
| capita tobacco consumption | 0.595145 |
| sustained tobacco prevention | 0.495439 |
| higher cigarette consumption | 0.477247 |
| chewing tobacco consumption | 0.553906 |
| plug/twist chewing tobacco | 0.448603 |
| consumption patterns | 0.475475 |
| total cigarette consumption | 0.674718 |
| large cigar consumption | 0.475041 |
| cigarette equivalents | 0.459308 |
| tobacco excise tax | 0.463754 |
| tobacco | 0.985985 |
| overall tobacco consumption | 0.527768 |
| leaf chewing tobacco | 0.447552 |
| cigarette consumption | 0.743451 |
| capita consumption | 0.471739 |
| consumption estimates | 0.446315 |
|
| tobacco product | 0.653711 |
| total smokeless tobacco | 0.515523 |
| tobacco prevention | 0.517283 |
| total consumption | 0.505354 |
| total snuff consumption | 0.464889 |
| small cigar§ consumption | 0.449336 |
| noncigarette combustible tobacco | 0.543544 |
| tobacco product consumption | 0.591586 |
| pipe tobacco consumption | 0.572436 |
| smokeless tobacco products | 0.479674 |
| tobacco products | 0.635324 |
| smokeless tobacco | 0.853738 |
| small cigar consumption | 0.470006 |
| total pipe tobacco | 0.466433 |
| roll-your-own tobacco consumption | 0.568238 |
| snuff consumption patterns | 0.454268 |
| pipe tobacco | 0.760699 |
| smokeless tobacco consumption | 0.707752 |
| combustible tobacco products | 0.485749 |
| tobacco prevention interventions | 0.456041 |
| available tobacco consumption | 0.566212 |
| combustible tobacco product | 0.584999 |
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