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Centers for Disease Control and Prevention |
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Celebrate Moms Who Protect Children's Health |
Find out about the ways that you can protect yourself and loved ones by quitting smoking and reducing exposure to secondhand smoke. |
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Centers for Disease Control and Prevention |
Html |
en |
Prevent Domestic Violence in Your Community | CDC Features |
October is Domestic Violence Awareness Month |
| CDC | 0.234243 |
| Sexual Violence Survey | 0.404684 |
| intimate partner contact | 0.359035 |
| lifetime | 0.239374 |
| National Intimate Partner | 0.358119 |
| public health problems | 0.281803 |
| IPV | 0.26392 |
| sexual coercion | 0.252344 |
| teaching skills | 0.250026 |
| physical violence | 0.559063 |
| Disease Control | 0.255788 |
| key strategies | 0.248066 |
| experienced contact | 0.245482 |
| safety | 0.218614 |
| fullest potential | 0.256257 |
| sexual intimacy | 0.253775 |
| same-sex couples | 0.249542 |
| influential adults | 0.245248 |
| economic supports | 0.298953 |
| violence prevention | 0.397228 |
| unwanted sexual contact | 0.288954 |
| community | 0.221226 |
| severe episodes | 0.248284 |
| nonviolent relationships | 0.304961 |
| developmental pathways | 0.295694 |
|
| healthy relationship skills | 0.27433 |
| programs | 0.226423 |
| women | 0.26244 |
| United States | 0.247353 |
| healthy behaviors | 0.243322 |
| contact sexual violence | 0.698588 |
| intimate partner | 0.979054 |
| prevention efforts | 0.250285 |
| percent | 0.270141 |
| lessen harms | 0.248891 |
| technical package | 0.354099 |
| key strategy | 0.253984 |
| violence | 0.833089 |
| societal level change | 0.294606 |
| single episode | 0.250761 |
| Numerous ways | 0.256428 |
| families | 0.21946 |
| support survivors | 0.281178 |
| best available evidence | 0.280332 |
| young people skills | 0.280174 |
| protective environments | 0.298941 |
| long-term harms | 0.245341 |
| intimate partner violence | 0.767703 |
| Domestic Violence Awareness | 0.42789 |
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Centers for Disease Control and Prevention |
Html |
en |
FluWorkLoss Special Edition |
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| National ILI | 0.267166 |
| h1n1 outbreak | 0.351825 |
| different attack rates | 0.312041 |
| community employment rate | 0.312111 |
| A. FluWorkLoss Special | 0.350638 |
| family member | 0.31379 |
| sick family members | 0.302519 |
| default attack rate | 0.320867 |
| number | 0.371377 |
| sick family member | 0.301113 |
| age group populations | 0.304669 |
| FluWorkLoss Results | 0.267421 |
| Special Edition program | 0.328934 |
| influenza pandemic | 0.34878 |
| previously published FluWorkLoss | 0.332836 |
| Download FluWorkLoss | 0.280913 |
| H1N1 Influenza | 0.382656 |
| distinct age groups | 0.305222 |
| PM ET | 0.263249 |
| attack rates | 0.354703 |
| H1N1 proportionate graphs | 0.318739 |
| FluAid Special Edition | 0.453051 |
| minimum number | 0.269983 |
| age group population | 0.303214 |
| beta test version | 0.295697 |
|
| age group | 0.35431 |
| specific employment information | 0.306106 |
| potential number | 0.324758 |
| pandemic start | 0.30654 |
| default number | 0.270597 |
| sick family | 0.310622 |
| total number | 0.270119 |
| total workdays | 0.438344 |
| attack rate | 0.470848 |
| H1N1 occurrence | 0.312444 |
| graphic illustrations | 0.263433 |
| Special Edition software | 0.321155 |
| Flu WorkLoss Results | 0.295154 |
| FluWorkLoss Special Edition | 0.987925 |
| newly adapted FluWorkLoss | 0.330772 |
| community cohabitat rate | 0.313025 |
| workdays | 0.555309 |
| ILI proportionate graphs | 0.31805 |
| frequent daily interaction | 0.300457 |
| Special Edition spreadsheet | 0.317753 |
| H1N1 Influenza response | 0.336412 |
| spreadsheet-based software program | 0.319707 |
| maximum number | 0.269307 |
| user | 0.279461 |
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Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012:11_0250 |
Although researchers develop evidence-based programs for public health practice, rates of adoption and implementation are often low. This qualitative study aimed to better understand implementation of the Program to Encourage Active, Rewarding Lives for Seniors (PEARLS), a depression care management program at a Seattle-King County area agency on aging. |
| case managers | 0.826673 |
| Policy Ment Health | 0.57686 |
| PEARLS | 0.984493 |
| program implementation | 0.654504 |
| eligibility criteria | 0.57485 |
| agency staff | 0.532469 |
| PEARLS referral | 0.591724 |
| mental health | 0.673239 |
| PEARLS roles | 0.586496 |
| depression symptoms | 0.543834 |
| PEARLS counselors | 0.683464 |
| PEARLS program delivery | 0.665157 |
| PEARLS benefits | 0.637958 |
| PEARLS programs | 0.599906 |
| health promotion research | 0.588591 |
| ADS case managers | 0.560633 |
| PEARLS implementation | 0.701792 |
| focus groups | 0.638986 |
| negative consequences | 0.56252 |
| case management | 0.539457 |
| PEARLS worksheet | 0.605245 |
| health care | 0.535777 |
| PEARLS team member | 0.631146 |
|
| PEARLS delivery discourage | 0.668409 |
| PEARLS depression treatment | 0.635694 |
| mental health settings | 0.553501 |
| advertising PEARLS | 0.600363 |
| traditional mental health | 0.565944 |
| PEARLS program staff | 0.714277 |
| focus group participants | 0.58289 |
| PEARLS clinical supervisor | 0.638277 |
| care management program | 0.569941 |
| randomized controlled trial | 0.55705 |
| PEARLS referrals | 0.609718 |
| Washington Health Promotion | 0.525769 |
| PEARLS staff member | 0.664939 |
| public health practice | 0.603033 |
| evidence-based programs | 0.573377 |
| PEARLS providers | 0.592667 |
| program eligibility criteria | 0.548078 |
| focus group | 0.888806 |
| PEARLS effectiveness study | 0.650017 |
| older adults | 0.528386 |
| Adm Policy Ment | 0.557132 |
| case manager | 0.69557 |
| PEARLS clients | 0.752991 |
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Centers for Disease Control and Prevention |
Html |
en |
CDC Mobile - eHealth Metrics Dashboard |
CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government. |
| high level | 0.30626 |
| non-mobile devices | 0.272847 |
| page views | 0.667463 |
| Zika outbreak content | 0.594924 |
| mobile phones | 0.499689 |
|
| main contributors | 0.316355 |
| mobile devices | 0.766374 |
| page | 0.906458 |
| mobile views | 0.436989 |
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Centers for Disease Control and Prevention |
Html |
en |
Environmental Public Health Tracking Network Program |
The National Environmental Public Health Tracking Program |
| high-risk areas | 0.68068 |
| drives public health | 0.673962 |
| health alerts | 0.586244 |
| childhood lead poisonings | 0.623341 |
| New York City | 0.625494 |
| health issues | 0.646614 |
| blue-green algae conditions | 0.61102 |
| new Web applications | 0.609873 |
| data needs | 0.580011 |
| health hazards | 0.590224 |
| public’s health | 0.602999 |
| water threats | 0.567573 |
| Environmental Health | 0.594343 |
| environmentally-related health effects | 0.657189 |
| potentially hazardous situations | 0.605 |
| Utah Tracking Network | 0.667749 |
| public health officials | 0.750326 |
| epidemiologic investigations | 0.56692 |
| environmental hazards | 0.633644 |
| numerous public health | 0.675062 |
| environmental exposure | 0.578345 |
| local tracking systems | 0.654391 |
| limited resources | 0.574971 |
| city sources | 0.573577 |
|
| data warehouse | 0.572451 |
| high-risk neighborhoods | 0.580496 |
| lead poisoning rates | 0.627078 |
| tracking program | 0.749306 |
| local tracking networks | 0.653546 |
| CDC funds participation | 0.624221 |
| high risk areas | 0.626429 |
| tracking data | 0.639677 |
| Public Health Tracking | 0.721288 |
| hazard information | 0.574859 |
| public health | 0.882965 |
| chronic diseases | 0.566507 |
| Vermont Tracking Program | 0.636209 |
| critical information | 0.56714 |
| Maine Tracking Program | 0.643838 |
| health concerns | 0.593143 |
| public health programs | 0.675431 |
| local health officials | 0.671019 |
| Tracking Network | 0.995388 |
| leverages environmental data | 0.629353 |
| public inquiries | 0.58363 |
| childhood lead poisoning | 0.732358 |
| carbon monoxide poisoning | 0.639474 |
| Web-based surveillance network | 0.654686 |
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Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Prevalence of Smoke-Free Car and Home Rules in Maine Before and After Passage of a Smoke-Free Vehicle Law, 2007"2010 - CDC |
This is the first study to examine the prevalence of self-reported smoke-free rules for private cars and homes before and after the passage of a smoke-free vehicle law. |
| State smoke-free laws | 0.565218 |
| smoke-free laws | 0.610056 |
| Risk Factor Surveillance | 0.50553 |
| smoke-free indoor policies | 0.563326 |
| high school education | 0.564807 |
| statewide smoke-free vehicle | 0.631016 |
| smoke-free indoor environment | 0.584965 |
| tobacco control state | 0.505078 |
| Disease Control | 0.546332 |
| children | 0.528252 |
| smoke-free public places | 0.555468 |
| increase smoke-free norms | 0.564324 |
| smoke-free home rule | 0.582073 |
| secondhand smoke | 0.658724 |
| voluntary smoke-free rules | 0.622604 |
| smoke-free vehicle law | 0.912874 |
| tobacco smoke | 0.630785 |
| smoke-free vehicle study | 0.582796 |
| smoke-free car rule | 0.71495 |
| smoke-free vehicle ordinance | 0.591849 |
| smoke-free car rules | 0.872971 |
| smoke-free home rules | 0.792514 |
| Nicotine Tob Res | 0.528282 |
| Behavioral Risk Factor | 0.506809 |
| smoke-free car law | 0.664646 |
|
| smoke-free home policies | 0.609124 |
| smoke-free workplace | 0.566159 |
| voluntary smoke-free home | 0.625465 |
| smoke-free homes | 0.541103 |
| United States | 0.503653 |
| Self-reported smoke-free car | 0.616284 |
| Maine | 0.546024 |
| smoke-free rules | 0.754839 |
| tobacco smoke pollution | 0.508669 |
| smoke-free rule prevalence | 0.643474 |
| public smoke-free laws | 0.577073 |
| Scottish smoke-free legislation | 0.556591 |
| smoking | 0.570663 |
| smoke-free policies | 0.546047 |
| smoke-free vehicle rules | 0.602054 |
| strong smoke-free workplace | 0.560725 |
| secondhand smoke exposure | 0.626093 |
| voluntary smoke-free car | 0.620129 |
| smoke-free vehicles | 0.547157 |
| smoke-free vehicle rule | 0.573412 |
| self-reported smoke-free rules | 0.621458 |
| comprehensive smoke-free workplace | 0.550735 |
| smoke-free vehicle laws | 0.588154 |
| control state highlights | 0.50353 |
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Centers for Disease Control and Prevention |
Html |
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Detección del consumo de alcohol y consejería |
Signos Vitales de los CDC ofrece datos recientes y hace un llamado a actuar respecto de importantes temas de salud pública |
| Washington D | 0.375564 |
| Bajo Precio | 0.778332 |
| Archivo Apple Quicktime | 0.411448 |
| Archivo Microsoft PowerPoint | 0.419546 |
| Archivo Adobe PDF | 0.410184 |
| Archivo Microsoft | 0.614329 |
|
| Archivo Microsoft Word | 0.418323 |
| Archivo Zip Comprimido | 0.410169 |
| organizaciones proveedoras | 0.37438 |
| alto consumo | 0.531118 |
| Archivo Microsoft Excel | 0.409545 |
| seguro médico | 0.900119 |
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Centers for Disease Control and Prevention |
Html |
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Immediately Dangerous to Life or Health Concentrations(IDLH): Benzene - NIOSH Publications and Products |
null |
| exposure guidance levels | 0.674727 |
| Spector WS | 0.463232 |
| ppm TWA | 0.786668 |
| continuous exposure guidance | 0.556081 |
| short-term exposure | 0.522888 |
| narcotic effect | 0.46235 |
| Moderne gewerbliche vergiftungen | 0.51879 |
| Elsevier Publishing Company | 0.512937 |
| Shaffer CB | 0.464211 |
| Exp Pathol Pharmakol | 0.516924 |
| CAS number | 0.479136 |
| Ind Hyg Toxicol | 0.516682 |
| OSHA carcinogen policy | 0.575127 |
| Patty FA | 0.463641 |
| Carpenter CP | 0.462877 |
| Pharmacological-toxicological aspects | 0.46276 |
| ppm STEL | 0.769893 |
| ACGIH TLV | 0.485551 |
| W.B. Saunders Co. | 0.510679 |
| aromatic odor | 0.474842 |
| aromatic hydrocarbons | 0.467509 |
| Weil CS | 0.464536 |
| Emergency Exposure Guidance | 0.577094 |
| Gerarde HW | 0.468515 |
|
| 24-hour EEGL | 0.468603 |
| ethylene oxide | 0.462828 |
| Lethal concentration data | 0.523887 |
| Acute toxicities | 0.462186 |
| single exposure | 0.52487 |
| Smyth HF Jr | 0.518102 |
| Flury | 0.460877 |
| modern industry | 0.462683 |
| human data | 0.468885 |
| potential occupational carcinogen | 0.55907 |
| toxicology | 0.481682 |
| New York | 0.518702 |
| pharmakologisch-toxikologischer hinsicht | 0.462798 |
| NIOSH REL | 0.496196 |
| 1-hour EEGL | 0.476098 |
| National Research Council | 0.630592 |
| ppm | 0.90029 |
| light-yellow liquid | 0.46661 |
| Environmental Health Hazards | 0.509672 |
| current PEL | 0.504495 |
| benzene | 0.472779 |
| Tab Biol | 0.464472 |
| IDLH | 0.462707 |
| inhalation toxicity data | 0.527354 |
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Centers for Disease Control and Prevention |
Html |
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Youth Physical Activity Guidelines |
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| health education teachers | 0.54511 |
| partner organizations | 0.482853 |
| physical education | 0.48167 |
| CDC | 0.4179 |
| bone-strengthening physical activity | 0.564185 |
| community leaders | 0.484713 |
| Human Services | 0.502542 |
| Activity Guidelines Toolkit | 0.569265 |
| User Guide | 0.484928 |
| Physical Activity Guidelines | 0.671625 |
| Department | 0.418763 |
| PDF | 0.418839 |
| toolkit components | 0.492874 |
| children | 0.478041 |
| MB | 0.421363 |
| school | 0.415374 |
| coordinators | 0.418756 |
| muscle-strengthening physical activity | 0.56853 |
|
| daily physical activity | 0.673642 |
| youth physical activity | 0.756234 |
| overview | 0.415487 |
| adolescents | 0.514716 |
| various audiences | 0.48267 |
| strategies | 0.415888 |
| Americans | 0.418542 |
| state levels | 0.483969 |
| community-based organizations | 0.481375 |
| families | 0.415861 |
| physical activity | 0.966355 |
| regular physical activity | 0.564749 |
| examples | 0.41539 |
| schools | 0.415874 |
| support youth | 0.478967 |
| health benefits | 0.485042 |
| toolkit materials | 0.499358 |
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