| 672 |
Centers for Disease Control and Prevention |
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Data and Statistics - Surveys - Smoking & Tobacco Use |
Your browser does not support iFrames. |
| Office | 0.254698 |
| Health conducts | 0.650016 |
| secondhand smoke exposure | 0.927221 |
| international surveys | 0.566355 |
| cessation | 0.37071 |
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| specific populations | 0.631951 |
| supports | 0.253498 |
| tobacco-related topics | 0.707857 |
| youth | 0.249897 |
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Centers for Disease Control and Prevention |
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Science Clips - Monday, June 27, 2011 |
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| great public health | 0.826766 |
| health technology assessment | 0.807325 |
| Health Plann Manage. | 0.804298 |
| human papillomavirus testing | 0.844757 |
| Antimicrob Agents Chemother. | 0.828882 |
| Pediatr Infect Dis | 0.859672 |
| National Health Interview | 0.815408 |
| Obstet Gynecol. | 0.776536 |
| nonrecommended human papillomavirus | 0.795338 |
| PLoS One. | 0.783501 |
| pandemic influenza outbreak | 0.791605 |
| Liquid-based cytology test | 0.77611 |
| CDC Science Clips | 0.900246 |
| socially robust science | 0.776534 |
| autism spectrum disorders | 0.773722 |
| cancer incidence rates | 0.781266 |
| prion disease exposure | 0.77428 |
| home health aides | 0.806199 |
| Low-risk human papillomavirus | 0.795635 |
| Human papillomavirus vaccine | 0.79113 |
| U.S. health care | 0.821061 |
| HPV vaccination programme | 0.787251 |
| Chief Science Officer | 0.79421 |
| Katz MA | 0.7805 |
| HPV vaccine effect | 0.783817 |
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| Stephen B. Thacker | 0.853305 |
| Massachusetts birth cohorts | 0.783399 |
| Natl Cancer Inst. | 0.785223 |
| United States | 0.902462 |
| public health purposes | 0.820899 |
| Njenga MK | 0.777581 |
| public health programmes | 0.820456 |
| pandemic influenza | 0.792462 |
| Hyg Environ Health. | 0.77932 |
| deliberative public forum | 0.786436 |
| public health | 0.869157 |
| Mental health promotion | 0.80727 |
| Ann Health Law. | 0.806467 |
| Jun | 0.938921 |
| systemic orthopoxvirus disease | 0.774694 |
| public health literature | 0.824694 |
| B. Thacker CDC | 0.884337 |
| randomized controlled trial | 0.778093 |
| Womens Health | 0.788439 |
| Health Expect. | 0.775122 |
| Infect Dis J. | 0.859661 |
| Breiman RF | 0.773804 |
| Reproductive health assessment | 0.823149 |
| Thacker CDC Library | 0.884324 |
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Centers for Disease Control and Prevention |
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Organ Systems and the Chemicals that Affect Them - Hepatic Liver |
The hepatic system includes the liver and biliary tract . The liver maintains stable conditions throughout the body. It plays an important role in digesting food (through the secretion of bile), in synthesizing proteins (albumin, carrier proteins, coagulation factors, and many hormonal and growth factors), and in detoxifying harmful substances. |
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Centers for Disease Control and Prevention |
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CDC Vital Signs - Teen Drinking and Driving |
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 | 0.972919 |
| alcohol retailer compliance | 0.575361 |
| retail sales | 0.479389 |
| binge drinking | 0.57594 |
| experienced drivers | 0.497944 |
| risky behavior | 0.49658 |
| alcoholic drinks | 0.477998 |
| Youth Risk Behavior | 0.532936 |
| *High school students | 0.557712 |
| minimum legal drinking | 0.902566 |
| risky behaviors | 0.487709 |
| alcohol | 0.644362 |
| fatal crash | 0.479554 |
| high school teens | 0.764592 |
| *Blood alcohol concentration | 0.578513 |
| MLDA laws | 0.479051 |
| legal drinking age | 0.988661 |
| risky driving | 0.502234 |
| major threat | 0.481126 |
| Model safe driving | 0.54567 |
| teen drivers | 0.698241 |
| driver licensing systems | 0.664498 |
| legal limit | 0.478507 |
| parents | 0.485956 |
| parent-teen driving agreements | 0.555124 |
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| Fewer teens | 0.566474 |
| GDL laws | 0.491202 |
| Obey speed limits | 0.531848 |
| teens | 0.900407 |
| GDL systems | 0.49336 |
| Research | 0.48338 |
| adult drivers | 0.486066 |
| cell phone | 0.47644 |
| parent-teen driving agreement | 0.674208 |
| high school drinks | 0.572516 |
| blood alcohol concentration | 0.600899 |
| specific rules | 0.476053 |
| Zero tolerance laws | 0.543999 |
| new drivers | 0.65711 |
| fatal crashes | 0.488578 |
| risky conditions | 0.493275 |
| teen drinking | 0.56684 |
| Screen teens | 0.548974 |
| new teen drivers | 0.552476 |
| safe drivers | 0.484073 |
| young drivers | 0.568719 |
| parental involvement | 0.560656 |
| tolerance laws | 0.632121 |
| new driver privileges | 0.540632 |
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| 7926 |
Centers for Disease Control and Prevention |
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Notes from the Field: Serogroup C Invasive MeningococcalDisease Among Men Who Have Sex With Men - New York City,2010-2012 |
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. |
| mmwrq@cdc.gov. | 0.612345 |
| serogroup C Neisseria | 0.650992 |
| notifiable disease reporting | 0.701485 |
| Human Services | 0.650358 |
| assistive technology | 0.605104 |
| NYC residents | 0.710186 |
| field gel electrophoresis | 0.680492 |
| Paula Del Rosso | 0.65864 |
| telephone-based survey | 0.602394 |
| serogroup C. | 0.608106 |
| Public health departments | 0.677204 |
| MMWR HTML versions | 0.663524 |
| U.S. Department | 0.649299 |
| New York City | 0.850254 |
| electronic PDF version | 0.662844 |
| gel electrophoresis | 0.684568 |
| meningococcal disease outbreaks | 0.732137 |
| Clin Infect Dis | 0.673829 |
| NYC Community Health | 0.731351 |
| Contact GPO | 0.600533 |
| York City Dept | 0.666454 |
| MSM websites | 0.685238 |
| SCMD outbreak | 0.644363 |
| recent cases | 0.608006 |
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| original paper copy | 0.656802 |
| age range | 0.597443 |
| human immunodeficiency virus | 0.675481 |
| Clin Microbiol | 0.60832 |
| pulsed-field gel electrophoresis | 0.667861 |
| Jay K. Varma | 0.661597 |
| meningococcal vaccine | 0.650196 |
| multiple sexual partners | 0.675302 |
| invasive meningococcal disease | 0.901053 |
| original MMWR paper | 0.670194 |
| U.S. Government Printing | 0.663411 |
| health-care providers | 0.606174 |
| non-MSM population denominators | 0.68143 |
| SCMD patients | 0.609845 |
| HIV-infected male NYC | 0.709689 |
| subject line | 0.605778 |
| MSM | 0.705418 |
| MSM bars | 0.678601 |
| illicit drug users | 0.661026 |
| Territorial Epidemiologists case | 0.686012 |
| Alison Ridpath | 0.672876 |
| DOHMH websites | 0.603691 |
| et al | 0.667516 |
| mass e-mail messages | 0.674083 |
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| 8120 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Healthy Eating DesignGuidelines for School Architecture - CDC |
We developed a new tool, Healthy Eating Design Guidelines for School Architecture, to provide practitioners in architecture and public health with a practical set of spatially organized and theory-based strategies for making school environments more conducive to learning about and practicing healthy eating by optimizing physical resources and learning spaces. |
| healthy eating–focused design | 0.481121 |
| School design | 0.47238 |
| healthy design features | 0.508766 |
| physical design | 0.452633 |
| healthy food choices | 0.449726 |
| architectural design process | 0.43493 |
| dining areas | 0.460632 |
| evidence-based design strategies | 0.44378 |
| servery equipment | 0.434494 |
| system-level healthy eating | 0.481066 |
| healthy food education | 0.470457 |
| healthy food purchase | 0.471561 |
| fresh foods | 0.459636 |
| Eating Design Guidelines | 0.886926 |
| Design food spaces | 0.490867 |
| healthy design considerations | 0.486678 |
| school | 0.607033 |
| healthy food | 0.536821 |
| design process | 0.468852 |
| design research | 0.437285 |
| healthy eating message | 0.445725 |
| school-based healthy food | 0.448072 |
| Design dining areas | 0.442488 |
| healthy food environment | 0.481611 |
| school architecture | 0.464891 |
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| school gardens | 0.459842 |
| school food | 0.488117 |
| school food purchases | 0.446743 |
| healthy eating behaviors | 0.510291 |
| design strategies | 0.478136 |
| healthy food initiatives | 0.487795 |
| on-site food production | 0.439348 |
| school food environments | 0.473427 |
| healthy foods | 0.434628 |
| school redesign project | 0.435914 |
| food preparation stations | 0.440092 |
| school building design | 0.512272 |
| healthy food community | 0.490469 |
| school food environment | 0.484442 |
| healthy nutrition curriculum | 0.437799 |
| teaching kitchen | 0.481181 |
| public health | 0.548787 |
| lower elementary schools | 0.491104 |
| schematic design | 0.465559 |
| healthy eating design | 0.995496 |
| healthy eating choices | 0.459639 |
| school food program | 0.437114 |
| food | 0.569522 |
| eating design principles | 0.492022 |
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Centers for Disease Control and Prevention |
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QuickStats: Percentage of Adults Aged 18 Years or Older Who Often Felt Worried, Nervous, or Anxious,* by Sex and Age Group - National Health Interview Survey, United States, 2010-2011 |
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. |
| mmwrq@cdc.gov. | 0.79955 |
| endorsement | 0.67458 |
| Unknowns | 0.641243 |
| Alternate Text | 0.773763 |
| Human Services | 0.905527 |
| assistive technology | 0.81236 |
| noninstitutionalized population | 0.784749 |
| National Health Interview | 0.927349 |
| weekly feelings | 0.801745 |
| nervousness | 0.774749 |
| MMWR HTML versions | 0.896351 |
| U.S. Department | 0.89292 |
| electronic PDF version | 0.893848 |
| e-mail | 0.675748 |
| household interviews | 0.786669 |
| worry | 0.742715 |
| Contact GPO | 0.789964 |
| denominators | 0.647389 |
| percentages | 0.639439 |
| commercial sources | 0.773826 |
| current prices | 0.766368 |
| anxiety | 0.713656 |
| respondents | 0.644449 |
| original paper copy | 0.897712 |
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| 18.2 | 0.666096 |
| women | 0.92465 |
| United States | 0.781843 |
| original MMWR paper | 0.891667 |
| survey question | 0.78777 |
| age group | 0.781977 |
| assistance | 0.636665 |
| title | 0.636421 |
| MMWR readers | 0.770144 |
| character translation | 0.766805 |
| times | 0.636624 |
| file | 0.636825 |
| Persons | 0.673458 |
| format errors | 0.761725 |
| subject line | 0.809088 |
| typeset documents | 0.768357 |
| trade names | 0.773925 |
| official text | 0.760863 |
| non-CDC sites | 0.767893 |
| report | 0.636401 |
| confidence interval | 0.795748 |
| information | 0.636845 |
| Accommodation | 0.63644 |
| electronic conversions | 0.759738 |
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Centers for Disease Control and Prevention |
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Progress Being Made in Infection Control in U.S. Hospitals; Continued Improvements Needed |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Puerto Rico | 0.484719 |
| MRSA infections | 0.595383 |
| line-associated bloodstream infection | 0.553029 |
| Infection Progress Report | 0.584702 |
| Quality Improvement Organizations | 0.550425 |
| HAI prevention efforts | 0.494867 |
| infection prevention guidelines | 0.524027 |
| infection control | 0.624759 |
| infection types | 0.536722 |
| healthcare-associated infections | 0.773526 |
| central line-associated bloodstream | 0.652354 |
| Unit-based Safety Program | 0.558145 |
| ongoing prevention progress | 0.487839 |
| deadly infections | 0.57961 |
| infections | 0.923741 |
| national baseline | 0.484694 |
| U.S. healthcare facilities | 0.500105 |
| National Healthcare Safety | 0.516116 |
| HAI prevention progress | 0.507229 |
| infection control problems | 0.533628 |
| infection control programs | 0.541979 |
| Healthcare Research | 0.484595 |
| 50 states | 0.490255 |
| HAI progress report | 0.544822 |
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| patient safety | 0.535521 |
| catheter-associated urinary tract | 0.556525 |
| MRSA bloodstream infections | 0.640747 |
| surgical site infections | 0.61727 |
| CDC Director Tom | 0.50968 |
| effective prevention programs | 0.479913 |
| surgical site infection | 0.533431 |
| patients | 0.48681 |
| valid infection information | 0.524027 |
| healthcare-associated infection | 0.648433 |
| healthcare-associated infection tracking | 0.561349 |
| percent decrease | 0.609605 |
| healthcare facilities | 0.527606 |
| lab-identified methicillin-resistant Staphylococcus | 0.491603 |
| healthcare-associated infection laboratories | 0.527695 |
| health care facilities | 0.570507 |
| line-associated bloodstream infections | 0.733473 |
| healthcare-associated infection data | 0.60342 |
| Comprehensive Unit-based Safety | 0.558159 |
| urinary tract infections | 0.68885 |
| sound HAI data | 0.505498 |
| acute care hospitals | 0.492358 |
| infection control expertise | 0.530664 |
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Centers for Disease Control and Prevention |
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MMWR News Synopsis for March 5, 2015 |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| 2014-15 Northern Hemisphere | 0.682084 |
| mandatory reportable condition | 0.446914 |
| suicide method | 0.424272 |
| Fever Cases | 0.323558 |
| medical complications | 0.449337 |
| copycat suicide | 0.408329 |
| suicide rates | 0.407798 |
| time period | 0.340832 |
| documentation policies | 0.442214 |
| Early prevention | 0.473343 |
| intensive care unit | 0.424284 |
| suicide trends | 0.395262 |
| common mechanisms | 0.339431 |
| highest rate | 0.320396 |
| hospital stays | 0.328941 |
| important role | 0.331856 |
| HUMAN SERVICES | 0.326494 |
| CDC Media Relations | 0.978066 |
| antiviral medications | 0.476383 |
| birth hospitalization | 0.332632 |
| vast majority | 0.331522 |
| positive urine toxicology | 0.426465 |
| United States | 0.630846 |
| Media coverage | 0.344249 |
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| young people | 0.746866 |
| drug addiction counseling/rehabilitation | 0.642043 |
| vulnerable young people | 0.464503 |
| Suicide Prevention Lifeline | 0.521081 |
| U.S. DEPARTMENT | 0.326604 |
| Reported Crimean-Congo Hemorrhagic | 0.445326 |
| drug counseling | 0.32408 |
| Early prevention strategies | 0.467035 |
| Adverse Events | 0.327015 |
| addictive drugs | 0.321046 |
| influenza season | 0.577844 |
| geographic subgroups | 0.339664 |
| high lethality | 0.353435 |
| preventable public health | 0.487732 |
| high prevalence | 0.322921 |
| predominant circulating strain | 0.457512 |
| highly lethal methods | 0.4572 |
| suffocation suicides | 0.413302 |
| suicidal thoughts | 0.499143 |
| Simulation Intravenous Fluids | 0.43503 |
| neonatal abstinence syndrome | 0.678628 |
| small proportion | 0.325978 |
| highly lethal means | 0.474742 |
| two-year period | 0.324686 |
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Centers for Disease Control and Prevention |
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FastStats - Child Health |
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| Summary Health Statistics | 0.885708 |
| United States | 0.419074 |
| health insurance | 0.404719 |
| Final Data | 0.485081 |
| Health Statistics Tables | 0.870987 |
| National Health Interview | 0.988588 |
| source | 0.573463 |
| PDF | 0.523385 |
| Number | 0.346885 |
| children | 0.629492 |
| MB | 0.432195 |
| school | 0.326544 |
| KB | 0.411879 |
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| Early release | 0.415953 |
| injury | 0.32642 |
| U.S. Children | 0.620618 |
| Table C-5c | 0.418956 |
| deaths | 0.466294 |
| health care | 0.401197 |
| Table C-7c | 0.399108 |
| Percent | 0.523496 |
| good health | 0.422625 |
| Health Interview Survey | 0.988209 |
| population | 0.34795 |
| usual source | 0.402179 |
| age | 0.352409 |
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