| 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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| 8465 |
Centers for Disease Control and Prevention |
Html |
en |
Nathan's Videos - Videos - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Commercials and extended videos featuring Nathan, a nonsmoker and Native American who contracted permanent lung damage called bronchiectasis as a result of secondhand smoke. Videos from the Tips from Former Smokers campaign feature real people suffering as a result of smoking and exposure to secondhand smoke. |
| asthma attacks | 0.395706 |
| Oglala Sioux tribe | 0.750497 |
| Nathan | 0.630748 |
| health problems | 0.32777 |
| secondhand smoke exposure | 0.960913 |
|
| Smokers® campaign | 0.350687 |
| favorite pastime—tribal dancing | 0.291637 |
| permanent lung damage | 0.68651 |
| severe asthma attacks | 0.322624 |
| CDC’s Tips | 0.365103 |
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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 |
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| changes | 0.52188 |
| health communication campaign | 0.718295 |
| program | 0.670001 |
| stakeholders | 0.528004 |
| logic models | 0.941894 |
| assumptions | 0.530995 |
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| 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 |
|
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| 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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| 10433 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | State Practitioner Insights Into Local Public Health Challenges and Opportunities in Obesity Prevention: a Qualitative Study - CDC |
The extent of obesity prevention activities conducted by local health departments (LHDs) varies widely. The purpose of this qualitative study was to characterize how state obesity prevention program directors perceived the role of LHDs in obesity prevention and factors that impact LHDs’ success in obesity prevention. |
| obesity prevention program | 0.520922 |
| LHDs | 0.466144 |
| public health practitioners | 0.385014 |
| obesity prevention programs | 0.524027 |
| LHD prevention activities | 0.398508 |
| state obesity prevention | 0.505018 |
| national public health | 0.386456 |
| obesity prevention | 0.969306 |
| obesity prevention activities | 0.493812 |
| public health systems | 0.377639 |
| Prevent Obesity | 0.394335 |
| obesity prevention efforts | 0.526952 |
| local prevention efforts | 0.417425 |
| local practitioners | 0.390777 |
| public health activities | 0.380824 |
| public health officials | 0.378496 |
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| county-level obesity prevalence | 0.445609 |
| prevention program directors | 0.413072 |
| public health practice | 0.382392 |
| state public health | 0.389067 |
| public health response | 0.38736 |
| public health governance | 0.408163 |
| LHD success | 0.430437 |
|
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| centralized states | 0.41653 |
| environmental change | 0.459118 |
| public health effort | 0.385441 |
| high obesity prevalence | 0.42007 |
| Public Health Challenges | 0.391083 |
| evidence-informed public health | 0.377212 |
| states | 0.440498 |
| Prevention Research Center | 0.385902 |
| public health structures | 0.421924 |
| federally funded obesity | 0.450419 |
| time obesity prevalence | 0.41962 |
| state health department | 0.383955 |
| local health units | 0.440959 |
| local health departments | 0.434376 |
| public health | 0.830299 |
| public health organizations | 0.406638 |
| health governance structure | 0.397321 |
| Obesity prevention coordinators | 0.438556 |
| qualitative study | 0.381787 |
| local public health | 0.549489 |
| state-identified public health | 0.379759 |
| community health assessment | 0.409721 |
| local level | 0.406256 |
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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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| 12487 |
Centers for Disease Control and Prevention |
Video |
en |
October 2013 ACIP Meeting -- Global Immunization Update |
Global health measures and mid-decade goals/Decade of the vaccine and the global vaccine action plan/SAGE/WHO vaccine recommendations -- 2010 to present/Current SAGE working groups and topics under consideration by SAGE presented by Dr. J Abramson.
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=e65050bf053c25eeaf66b3e36bb03e8820140110114255792 |
| Global Immunization Update | 0.974531 |
|
|
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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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| 14451 |
Centers for Disease Control and Prevention |
Html |
en |
Arthritis Across America | CDC Features |
Doctor-diagnosed arthritis is widespread throughout the United States, according to a new study that looks at where arthritis is most common. Physical activity and self-management education can improve the quality of life of those adults with arthritis. |
| findings | 0.321814 |
| 20th edition | 0.430352 |
| MB | 0.32118 |
| physical activity programs | 0.506357 |
| doctor-diagnosed arthritis | 0.820475 |
| limitations | 0.320917 |
| new study | 0.4361 |
| Kentucky | 0.321443 |
| Lu | 0.32141 |
| Download map | 0.4137 |
| quality | 0.34594 |
| Arth Rheum | 0.430917 |
| U.S. counties | 0.416114 |
| arthritis | 0.970795 |
| U.S. county—all | 0.429267 |
| highest levels | 0.420911 |
| community centers | 0.414815 |
| Boring MA | 0.498971 |
| Experts | 0.32197 |
| United States | 0.660399 |
| local Ys | 0.421008 |
| self-reported doctor-diagnosed arthritis | 0.728398 |
| Tennessee | 0.321421 |
| adults | 0.438172 |
| Hootman JM | 0.424606 |
|
| Alabama | 0.321455 |
| CDC analysis | 0.410887 |
| life | 0.345916 |
| Helmick CG | 0.50213 |
| bike | 0.322212 |
| West Virginia | 0.422451 |
| prevalence | 0.380265 |
| arthritis symptoms | 0.657875 |
| effective ways | 0.421077 |
| KA | 0.322846 |
| Holt JB | 0.411061 |
| public health professionals | 0.521634 |
| County Level | 0.407223 |
| MMWR | 0.323357 |
| separate ten-minute sessions | 0.52723 |
| Barbour KE | 0.523638 |
| CDC researchers | 0.437691 |
| self-management education classes | 0.526966 |
| people | 0.359306 |
| physical activity | 0.656844 |
| Michigan | 0.321432 |
| self-management education | 0.703084 |
| common arthritis | 0.656917 |
| arthritis-attributable activity | 0.408665 |
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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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