| 5085 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, March 29, 2010 |
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| young women | 0.66537 |
| highly vaccinated population | 0.686418 |
| effective contraceptive methods | 0.700158 |
| Risk Factor Surveillance | 0.701854 |
| Pacific Islander mothers | 0.696581 |
| Canada-wide bovine mastitis | 0.697842 |
| pregnant women | 0.67009 |
| Public Health. | 0.779249 |
| Matern Child Health | 0.729524 |
| CDC Knowledge | 0.774602 |
| high-level aminoglycoside resistance | 0.691737 |
| Action Science Clips | 0.975141 |
| global health initiatives | 0.713192 |
| Infectious Diseases Society | 0.706557 |
| new weekly digest | 0.714633 |
| Whitman TJ | 0.665014 |
| Child Abuse Negl. | 0.707525 |
| Chief Science Officer | 0.724573 |
| Clinical practice guidelines | 0.711005 |
| risk reduction behaviors | 0.701499 |
| Eval Program Plann. | 0.702492 |
| public domain | 0.681517 |
| Stephen B. Thacker | 0.819804 |
| Mar | 0.68782 |
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| health care leadership | 0.714648 |
| professional race tracks | 0.700312 |
| United States | 0.817845 |
| Klausner JD | 0.719741 |
| weight gain | 0.701001 |
| Moskowitz RW | 0.667072 |
| National Violence Death | 0.700471 |
| Child maltreatment fatalities | 0.710896 |
| pandemic influenza | 0.718656 |
| subnational HIV/AIDS coordination | 0.688294 |
| Kent CK | 0.715396 |
| reproductive health services | 0.718099 |
| Clostridium difficile infection | 0.711818 |
| Hoerger TJ | 0.673741 |
| Health Promot Pract. | 0.714447 |
| recreational noise exposures | 0.694654 |
| public health literature | 0.732095 |
| B. Thacker CDC | 0.873518 |
| high school students | 0.703696 |
| 16S rRNA genes | 0.697661 |
| Taenia solium cysticerci | 0.716428 |
| Homozygous triplicate mutations | 0.69878 |
| original sources | 0.672142 |
| et al | 0.698571 |
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| 7568 |
Centers for Disease Control and Prevention |
Html |
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Teen Drinking and Driving - CDC 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. |
| high school | 0.912927 |
| alcohol retailer compliance | 0.484521 |
| retail sales | 0.384892 |
| binge drinking | 0.481341 |
| experienced drivers | 0.407457 |
| risky behavior | 0.394364 |
| alcoholic drinks | 0.383203 |
| *High school students | 0.466416 |
| minimum legal drinking | 0.829306 |
| alcohol | 0.565952 |
| fatal crash | 0.388893 |
| high school teens | 0.672045 |
| *Blood alcohol concentration | 0.487355 |
| MLDA laws | 0.383015 |
| legal drinking age | 0.921089 |
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| major threat | 0.386745 |
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| teen drivers | 0.618069 |
| driver licensing systems | 0.58178 |
| legal limit | 0.383098 |
| lower rates | 0.378913 |
| parents | 0.394828 |
| parent-teen driving agreements | 0.46363 |
| Fewer teens | 0.465188 |
|
| GDL laws | 0.395569 |
| Obey speed limits | 0.441837 |
| teens | 0.815889 |
| GDL systems | 0.397649 |
| Research | 0.39152 |
| adult drivers | 0.386114 |
| cell phone | 0.378252 |
| safe way | 0.378935 |
| parent-teen driving agreement | 0.591087 |
| high school drinks | 0.480013 |
| blood alcohol concentration | 0.510386 |
| specific rules | 0.381432 |
| Zero tolerance laws | 0.45153 |
| new drivers | 0.578597 |
| fatal crashes | 0.393226 |
| risky conditions | 0.391709 |
| teen drinking | 0.464292 |
| new teen drivers | 0.458506 |
| safe drivers | 0.387563 |
| Educate parents | 0.377377 |
| young drivers | 0.477614 |
| traffic violations | 0.380656 |
| parental involvement | 0.471964 |
| tolerance laws | 0.547501 |
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Centers for Disease Control and Prevention |
Html |
en |
David J. Sencer CDC Museum Upcoming Exhibits - Cells: The Universe Inside Us |
David J. Sencer CDC Museum |
| time-lapse movie | 0.494744 |
| huge screen | 0.463461 |
| human fetal development | 0.70158 |
| questions | 0.247455 |
| Virtual experiments | 0.475956 |
| body | 0.243158 |
| photos | 0.245133 |
| dances | 0.245772 |
| Design | 0.243245 |
| virtual scalpel | 0.484671 |
| human embryo | 0.471821 |
| action | 0.247752 |
| giant cell | 0.476576 |
| exhibit | 0.243287 |
| Giant walk-in cell | 0.747902 |
| virtual cell | 0.466771 |
| stem cells | 0.70935 |
| models | 0.244002 |
| glass | 0.24524 |
| cellular level | 0.454474 |
| nanoparticle | 0.266407 |
| virtual lab | 0.455541 |
| scientists | 0.247529 |
| job | 0.245706 |
|
| game | 0.244018 |
| muscle cells contract | 0.909185 |
| cell membrane | 0.474614 |
| osteoporotic bone | 0.463467 |
| complex cell | 0.490166 |
| moment | 0.262471 |
| Videos | 0.247827 |
| proteins | 0.247181 |
| non-smoker’s lungs | 0.528735 |
| miracle | 0.25337 |
| arm | 0.2456 |
| gold particles | 0.488411 |
| pig embryos | 0.48098 |
| MetLife Foundation | 0.47848 |
| clogged artery | 0.517317 |
| mitochondria | 0.271469 |
| nucleus | 0.28294 |
| Maryland Science Center | 0.661027 |
| protein shapes | 0.457553 |
| healthy artery | 0.492015 |
| cells | 0.945963 |
| healthy bone | 0.468226 |
| trillions | 0.295152 |
| cancer | 0.243209 |
|
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| 7778 |
Centers for Disease Control and Prevention |
Html |
en |
Violence in the Work Place - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Violence in the Workplace |
| taxicab driver | 0.486286 |
| retail trade establishments | 0.598038 |
| cash register | 0.457565 |
| violent acts | 0.486262 |
| work-related homicides | 0.852947 |
| a.m. shift | 0.454983 |
| workplace violence | 0.556814 |
| police officers | 0.469321 |
| store closing practices | 0.598573 |
| individual workplaces | 0.470575 |
| frightened families | 0.486773 |
| risk factors | 0.471223 |
| effective protective measures | 0.613373 |
| good visibility | 0.461871 |
| assailant strikes | 0.473635 |
| greatest risk | 0.46579 |
| motor vehicle fatalities | 0.666605 |
| high-crime areas | 0.473862 |
| single strategy | 0.469445 |
| particular risk | 0.489743 |
| job tasks | 0.460798 |
| safety training | 0.460189 |
| security guards | 0.470186 |
| state laws | 0.462497 |
| teen children | 0.458157 |
|
| small amounts | 0.46285 |
| cash exchange area | 0.597277 |
| retail trade | 0.631099 |
| routine contact | 0.474824 |
| taxicab drivers | 0.503209 |
| residential area | 0.455889 |
| co-worker violence accounts | 0.630431 |
| convenience stores | 0.461507 |
| good lighting | 0.461805 |
| INFORM viewers | 0.635417 |
| convenience store | 0.460802 |
| head | 0.349047 |
| bullet-proof barriers | 0.479456 |
| small numbers | 0.471376 |
| workers | 0.597272 |
| U.S. residents | 0.490039 |
| assaults | 0.392542 |
| gas stations | 0.465474 |
| drawer | 0.361122 |
| work-related death | 0.535711 |
| youth workers | 0.48401 |
| 42-year-old woman | 0.456309 |
| workplace homicides | 0.981423 |
| age | 0.360703 |
|
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| 8355 |
Centers for Disease Control and Prevention |
Html |
en |
Trends in Tuberculosis - United States, 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. |
| latent TB infection | 0.462674 |
| TB control efforts.§§ | 0.475958 |
| foreign-born persons | 0.668413 |
| CDC | 0.355133 |
| additional TB cases | 0.549734 |
| United States | 0.767751 |
| provisional TB surveillance | 0.503123 |
| tb prevention | 0.492075 |
| multidrug-resistant TB | 0.465315 |
| standardized national reporting | 0.365018 |
| TB disease | 0.479317 |
| MDR TB cases | 0.50914 |
| national origin | 0.366247 |
| TB surveillance report | 0.471527 |
| TB awareness | 0.499851 |
| future TB elimination | 0.475914 |
| TB transmission | 0.456934 |
| TB elimination efforts | 0.531549 |
| Individual state TB | 0.515067 |
| TB case rates | 0.478254 |
| excessive alcohol | 0.379792 |
| state TB rates | 0.564475 |
| provisional TB cases | 0.485796 |
| Drug-resistant TB | 0.461251 |
|
| TB surveillance | 0.527293 |
| racial/ethnic group | 0.354985 |
| population TB rate | 0.499687 |
| tb elimination | 0.661956 |
| new TB cases | 0.489483 |
| culture-confirmed TB cases | 0.495854 |
| TB case rate | 0.494047 |
| racial/ethnic minorities | 0.399775 |
| TB rates | 0.649873 |
| TB elimination goal | 0.506979 |
| new tuberculosis | 0.354269 |
| U.S. TB cases | 0.49196 |
| TB rate | 0.569949 |
| TB control | 0.483531 |
| new TB case | 0.56737 |
| TB prevention strategies | 0.468492 |
| correctional facility | 0.353074 |
| drug-susceptibility test results | 0.368955 |
| TB diagnosis | 0.465518 |
| local TB control | 0.467738 |
| American Indian/Alaska Native | 0.36518 |
| Terrence Q. Lo | 0.358602 |
| TB case | 0.59751 |
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Centers for Disease Control and Prevention |
Html |
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Cómo prevenir el moho después de un desastre|Annuncio de servicio público |
Los Centros para el Control y la Prevención de Enfermedades (CDC) proveen anuncios de servicio público (PSA, por sus siglas en inglés) para compartir información que puede salvar vidas durante desastres naturales y situaciones de mal tiempo. Los PSA en inglés y en español están disponibles en una variedad de formatos que incluyen texto, audio y video. |
| Archivo Apple Quicktime | 0.670498 |
| Archivo RealPlayer | 0.544403 |
| Archivo Zip Comprimido | 0.664305 |
| Archivo Microsoft PowerPoint | 0.683949 |
|
| Archivo Microsoft Excel | 0.66892 |
| Archivo Adobe PDF | 0.652564 |
| Archivo Microsoft | 0.99522 |
|
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| 10381 |
Centers for Disease Control and Prevention |
Html |
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Paul Coverdell National Acute Stroke Registry History'Programs'DHDSP'CDC |
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| North Carolina | 0.654401 |
| CDC | 0.563666 |
| acute stroke care | 0.744628 |
| hospital care | 0.502843 |
| PCNASR prototype registries | 0.547198 |
| performance measures | 0.512694 |
| stroke diagnosis | 0.564141 |
| Stroke Center Certification | 0.616095 |
| fatal stroke | 0.599013 |
| standardized stroke performance | 0.614043 |
| state health departments | 0.838542 |
| funded states | 0.479008 |
| five-year funding period | 0.513703 |
| stroke quality improvement | 0.627129 |
| cooperative agreement | 0.51312 |
| National Quality Forum | 0.516235 |
| National Acute Stroke | 0.850572 |
| acute care hospitals | 0.556614 |
| Georgia | 0.479354 |
| stroke quality improvements | 0.648391 |
| Web-based data collection | 0.518051 |
| Paul Coverdell National | 0.773825 |
| statewide acute stroke | 0.636052 |
| states | 0.505066 |
| emergency medical services | 0.50198 |
|
| five-year cooperative agreement | 0.507155 |
| acute stroke | 0.910222 |
| Coverdell National Acute | 0.781784 |
| prototype phase | 0.576907 |
| academic principal investigators | 0.516556 |
| Acute Stroke Registry | 0.744919 |
| Senator Paul Coverdell | 0.569476 |
| Heart Association/American Stroke | 0.615856 |
| Acute Stroke Program | 0.666489 |
| comprehensive stroke systems | 0.615409 |
| health care | 0.497678 |
| care provider | 0.477091 |
| acute stroke patients | 0.653867 |
| New York | 0.509346 |
| EMS care | 0.481407 |
| Coverdell program | 0.519415 |
| quality improvement programs | 0.512949 |
| data collection | 0.521979 |
| primary care doctor | 0.525016 |
| three-year cooperative agreement | 0.501531 |
| total statewide stroke | 0.617151 |
| stroke symptom | 0.602571 |
| initial emergency response | 0.516108 |
| clinical investigators | 0.509521 |
|
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Centers for Disease Control and Prevention |
Html |
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Women's Safety and Health Issues at Work: Job Area: Construction - NIOSH Workplace Safety and Health Topic |
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| major health | 0.587029 |
| male coworkers | 0.580494 |
| sexual harassment | 0.746598 |
| male counterparts | 0.56806 |
| occupational health | 0.714399 |
| greater concern | 0.56044 |
| arrest harness design | 0.738333 |
| Health Protection | 0.607865 |
| loud noise | 0.591065 |
| job stress | 0.59691 |
| safety risks | 0.592124 |
| proper education | 0.561975 |
| major concerns | 0.57129 |
| construction workers job | 0.762839 |
| health hazards | 0.580699 |
| job-related homicide | 0.600445 |
| motor vehicles | 0.55926 |
| construction safety | 0.656999 |
| greater job satisfaction | 0.728885 |
| job stressors | 0.614093 |
| Diverse Construction Workforce | 0.767537 |
| gender-based discrimination | 0.592531 |
| health problems | 0.619679 |
| fall-arrest harness | 0.583223 |
| current unisex designs | 0.742338 |
|
| physical health | 0.594842 |
| job-related motor vehicle | 0.731427 |
| different pattern | 0.554078 |
| hearing loss | 0.589513 |
| job satisfaction | 0.736469 |
| women | 0.801496 |
| sizing structure | 0.581066 |
| qualitative investigation | 0.567671 |
| medical literature | 0.562141 |
| musculoskeletal disorders | 0.597152 |
| Labor Statistics | 0.598962 |
| gender discrimination | 0.566414 |
| female construction workers | 0.963612 |
| unique issues | 0.560377 |
| fit problem | 0.575482 |
| physical agents | 0.563799 |
| safety concerns | 0.591869 |
| construction industry | 0.592191 |
| Publication No. | 0.582894 |
| adverse outcomes | 0.577668 |
| D-ring location | 0.580158 |
| fatal injuries | 0.567984 |
| construction trades | 0.597488 |
| nonfatal injuries | 0.581513 |
|
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| 11439 |
Centers for Disease Control and Prevention |
Html |
en |
About CDC.gov |
Diseases and Conditions information from the Centers for Disease Control and Prevention. |
| CDC Web site | 0.805777 |
| basic search concepts | 0.552498 |
| CDC | 0.937299 |
| endorsement | 0.418731 |
| data | 0.41572 |
| foreign countries | 0.485046 |
| bioterrorism | 0.419477 |
| Human Services | 0.483154 |
| questions | 0.424143 |
| daily lives | 0.487434 |
| advanced techniques | 0.482135 |
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| safety topics | 0.496917 |
| peer agencies | 0.484732 |
| important health | 0.513288 |
| Search Tips | 0.486666 |
| U.S. Department | 0.483277 |
| Disease Control | 0.636715 |
| true improvements | 0.488028 |
| new information | 0.480998 |
| sentence | 0.417161 |
| text link | 0.566157 |
| Adobe Flash | 0.542492 |
| free player | 0.481324 |
|
| file format icons | 0.548663 |
| scientific articles | 0.497347 |
| CDC.gov home page | 0.572925 |
| specific permission | 0.499588 |
| direct access | 0.497589 |
| official Web site | 0.832818 |
| search CDC content | 0.746411 |
| Centers | 0.441533 |
| people’s health | 0.501937 |
| e-Government | 0.419444 |
| disease prevention strategies | 0.57067 |
| disease outbreaks | 0.497267 |
| tools | 0.415703 |
| CDC web sites | 0.754823 |
| national health statistics | 0.571343 |
| international disease transmission | 0.562313 |
| online source | 0.556874 |
| File Formats | 0.483769 |
| cost | 0.415873 |
| email subscription service | 0.546683 |
| CDC.gov A-Z Index | 0.600507 |
| health emergencies—something | 0.501438 |
| Email Updates | 0.482608 |
| government web sites | 0.558896 |
|
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Centers for Disease Control and Prevention |
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Impact of Booster Breaks and Computer Prompts on PhysicalActivity and Sedentary Behavior Among Desk-Based Workers: ACluster-Randomized Controlled Trial |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| study participants | 0.372338 |
| group-based Booster Break | 0.401712 |
| Booster Break intervention | 0.508078 |
| Weekday sedentary behavior | 0.369121 |
| sedentary leisure time | 0.354662 |
| Booster Breaks | 0.419537 |
| Texas Health Science | 0.384415 |
| sedentary time | 0.437711 |
| 15-minute work break | 0.375643 |
| weekly pedometer counts | 0.398009 |
| weekend sedentary behavior | 0.382118 |
| social support | 0.431018 |
| structured Booster Break | 0.407632 |
| Booster Break attendees | 0.418249 |
| blood pressure | 0.41311 |
| individual-based computer-prompt intervention | 0.368333 |
| worksite physical activity | 0.369436 |
| Booster Break sessions | 0.426739 |
| body mass index | 0.398565 |
| usual-break control group | 0.364345 |
| Booster Break program | 0.560729 |
| Booster Break study | 0.393685 |
| Booster Break participants | 0.607092 |
| inconsistent attendees | 0.405501 |
| significant time-by-condition interactions | 0.363896 |
|
| physical activity interventions | 0.398667 |
| intervention participants | 0.374889 |
| physical activity intervention | 0.35928 |
| usual-break participants | 0.451732 |
| weekly pedometer | 0.398981 |
| total sedentary time | 0.354535 |
| television viewing | 0.381149 |
| serum triglyceride concentrations | 0.416119 |
| sedentary behavior | 0.504536 |
| Workplace Booster Breaks | 0.363286 |
| public health | 0.35496 |
| computer-prompt participants | 0.407924 |
| prolonged sedentary time | 0.355546 |
| weekend sedentary time | 0.398127 |
| consistent attendees | 0.381283 |
| Booster Break | 0.904411 |
| Booster Break arm | 0.398627 |
| non-Hispanic white participants | 0.403289 |
| Hispanic participants | 0.394147 |
| physical activity | 0.792296 |
| consistent booster break | 0.42719 |
| Health Science Center | 0.385752 |
| leisure-time physical activity | 0.386139 |
| logistic regression models | 0.366075 |
|
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