| 6232 |
Centers for Disease Control and Prevention |
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Adult Smoking in the US - 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. |
| smoking-related disease | 0.334167 |
| American adults | 0.333189 |
| Mortality Weekly Report | 0.385725 |
| smoke-free laws | 0.343282 |
| health care provider | 0.582462 |
| Tobacco Use Epidemic | 0.621083 |
| effective way | 0.314109 |
| smoke-free indoor air | 0.417923 |
| Implement hard-hitting media | 0.393838 |
| R= Raise taxes | 0.37826 |
| tobacco | 0.949738 |
| fewer cigarettes | 0.348317 |
| largest preventable cause | 0.420546 |
| occasional smoking | 0.464628 |
| comprehensive tobacco control | 0.621007 |
| tobacco smoke | 0.611901 |
| World Health Organization | 0.404679 |
| direct medical costs | 0.407119 |
| highly addictive drug | 0.398447 |
| health care costs | 0.585119 |
| tobacco industry | 0.546126 |
| tobacco products | 0.771769 |
| battle—a public health | 0.426138 |
| hard-hitting media campaigns | 0.602136 |
| O=Offer help | 0.317486 |
|
| Vital Signs Issue | 0.388572 |
| multiple times | 0.313331 |
| step-by-step quit guide | 0.508155 |
| non-nicotine containing medications | 0.40805 |
| adults | 0.34287 |
| M=Monitor tobacco | 0.522114 |
| tobacco advertising | 0.518057 |
| tobacco marketing | 0.506971 |
| minimum age requirement | 0.386537 |
| Vital Minute Podcast | 0.373346 |
| adult smoking rate | 0.435891 |
| different people | 0.315526 |
| health care | 0.640857 |
| adult daily smokers | 0.465145 |
| secondhand smoke exposure | 0.633872 |
| tobacco control policies | 0.642878 |
| tobacco control program | 0.624812 |
| people | 0.315936 |
| tobacco product indoors | 0.590804 |
| smoking-related death | 0.33588 |
| cigarette price increases | 0.411377 |
| fewer smokers | 0.360565 |
| smoking-related causes | 0.346512 |
| tobacco taxation | 0.539502 |
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Centers for Disease Control and Prevention |
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Adults and Older Adult Adverse Drug Events - Medication Safety Program |
A set of guidelines and tips for adults and older adults to avoid or reduce adverse drug events. |
| antibiotic | 0.219549 |
| people age | 0.295649 |
| emergency department visits | 0.390731 |
| infectious diseases | 0.304466 |
| blood tests | 0.291469 |
| pharmacist | 0.220675 |
| Page | 0.293971 |
| regular monitoring | 0.288335 |
| Common drugs | 0.295381 |
| viral infections | 0.45891 |
| pain medicines | 0.376469 |
| emergency visit | 0.293366 |
| opioid pain relievers | 0.399842 |
| viruses | 0.235881 |
| pay particular attention | 0.370002 |
| heroin | 0.219388 |
| regular blood testing | 0.357086 |
| Americans | 0.262638 |
| patients | 0.240873 |
| colds | 0.220291 |
| sore throats | 0.297948 |
| good drugs | 0.286151 |
| quality | 0.218244 |
| adverse drug events | 0.998811 |
|
| runny noses | 0.297727 |
| certain types | 0.287433 |
| pain relievers | 0.443395 |
| millions | 0.246597 |
| antibiotics | 0.353444 |
| problems | 0.221428 |
| treatment | 0.219706 |
| medicines | 0.646249 |
| harm | 0.251792 |
| cocaine | 0.219476 |
| coughs | 0.223431 |
| times | 0.219222 |
| oxycodone | 0.22223 |
| blood testing | 0.522637 |
| adverse drug event | 0.439732 |
| unintentional overdoses | 0.297564 |
| chronic diseases | 0.303464 |
| opioid analgesics | 0.308627 |
| adverse events | 0.400058 |
| emergency departments | 0.365105 |
| emergency visits | 0.575577 |
| Older adults | 0.289154 |
| doctor | 0.261286 |
| hydrocodone | 0.22334 |
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Centers for Disease Control and Prevention |
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Section 103 of the Tobacco Control Act - Conforming and Other Amendments to General Provisions |
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| U.S.C. | 0.356664 |
| express written consent | 0.344805 |
| section | 0.796236 |
| act | 0.434547 |
| Civil Monetary Penalties | 0.3516 |
| counterfeit tobacco product | 0.490113 |
| package label requirements | 0.441549 |
| Tobacco Product Requirements | 0.38807 |
| devices | 0.378887 |
| violations | 0.374101 |
| Federal Meat Inspection | 0.376932 |
| tobacco products | 0.77076 |
| civil money penalties | 0.425404 |
| States tobacco product | 0.380442 |
| person | 0.37053 |
| violation | 0.49692 |
| following | 0.373767 |
| civil penalty | 0.419251 |
| single proceeding | 0.425576 |
| public health impact | 0.380061 |
| device | 0.454882 |
| Meat Inspection Act | 0.377475 |
| training program | 0.34322 |
| negative public health | 0.379008 |
| paragraph | 0.386295 |
|
| subsection | 0.56767 |
| field office | 0.353692 |
| Secretary | 0.400197 |
| United States | 0.378781 |
| written notice | 0.343897 |
| Drug Administration | 0.546536 |
| particular retail outlet | 0.458451 |
| no-tobacco-sale order | 0.56367 |
| public health implications | 0.342527 |
| minimum age requirements | 0.343089 |
| civil monetary penalty | 0.350626 |
| term | 0.426218 |
| place | 0.350491 |
| Cosmetic Act | 0.422049 |
| 30-day period | 0.419123 |
| effective date | 0.35613 |
| individual retail outlet | 0.349868 |
| tobacco product | 0.946926 |
| Special Effective Date | 0.346311 |
| retailer | 0.354175 |
| Federal Food | 0.417812 |
| tobacco product. | 0.357261 |
| tribal restricted fee | 0.342388 |
| followup compliance check | 0.343712 |
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| 8590 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - In Memorial, Edna Breedlove Clampitt |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| North Carolina | 0.946159 |
| date | 0.523482 |
| country | 0.52293 |
| siblings | 0.526064 |
| dad | 0.525311 |
| Edna Breedlove Clampitt | 0.799401 |
| throats | 0.533052 |
| strong mountain woman | 0.707925 |
| old Woodrow | 0.619296 |
| grandmother′s brothers | 0.623439 |
| journey | 0.522897 |
| ill | 0.52784 |
| western North Carolina | 0.74735 |
| Lord | 0.521995 |
| tombstones | 0.560258 |
| half century | 0.626292 |
| drive | 0.522399 |
| Grandma Clampitt | 0.639815 |
| big pot | 0.626009 |
| Ida Mae Breedlove | 0.74939 |
| late spring | 0.635898 |
| Wade Breedlove | 0.652014 |
| moment | 0.547043 |
| untimely death | 0.627736 |
| world | 0.522502 |
|
| Storyteller | 0.526011 |
| deep personal faith | 0.711771 |
| terrible night | 0.621254 |
| small mountainside cemetery | 0.764294 |
| Jessie Crane | 0.634144 |
| rest | 0.584071 |
| grandmother | 0.703764 |
| mid–December | 0.522195 |
| newborn | 0.522804 |
| families | 0.522024 |
| Debbie Crane | 0.643009 |
| special meals | 0.620093 |
| flu | 0.594108 |
| home | 0.522445 |
| Swain County | 0.768016 |
| lives farming | 0.622028 |
| pregnant mother | 0.629182 |
| little pot | 0.6259 |
| late fall | 0.620851 |
| Asheville | 0.521911 |
| visit | 0.542457 |
| family | 0.678595 |
| Location | 0.526027 |
| story | 0.522983 |
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| 10734 |
Centers for Disease Control and Prevention |
Html |
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Radon - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Radon |
| seller | 0.434238 |
| health risk | 0.463007 |
| overall damage | 0.462839 |
| frequent smoker | 0.460808 |
| lung tissue | 0.495661 |
| Janelle | 0.447225 |
| tester | 0.423701 |
| radon mitigation contractor | 0.680369 |
| State Radon Contact | 0.694454 |
| lung cancer | 0.851781 |
| natural form | 0.470601 |
| radon mitigations/reductions | 0.643699 |
| extended period | 0.466043 |
| Health effects | 0.465145 |
| homes | 0.425316 |
| home improvement stores/center | 0.513917 |
| state radon office | 0.684645 |
| igneous rock | 0.47764 |
| Brian | 0.451498 |
| health problems | 0.472617 |
| José | 0.431093 |
| radon exposure | 0.848434 |
| average annual dose | 0.526567 |
| radon mitigation | 0.690645 |
|
| state radon | 0.695729 |
| Environmental Protection Agency | 0.524863 |
| radon | 0.991585 |
| basement | 0.455809 |
| new home | 0.46267 |
| United States | 0.471908 |
| high levels | 0.516443 |
| natural sources | 0.467873 |
| house | 0.47423 |
| electrical power | 0.475094 |
| large doses | 0.472576 |
| breathing outdoor air | 0.525039 |
| smaller doses | 0.471308 |
| discounted test kits | 0.516172 |
| Rachel | 0.423634 |
| beneficial uses | 0.475244 |
| radon measurement | 0.64388 |
| greater opportunity | 0.467317 |
| lung cancer deaths | 0.57067 |
| nearby neighborhood | 0.461392 |
| colorless radioactive gas | 0.538474 |
| radiation | 0.47387 |
| Routine exposure | 0.487184 |
| harmful levels | 0.47069 |
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| 10884 |
Centers for Disease Control and Prevention |
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CDC to announce record-breaking year in reported cases of measles in the United States | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| M.D. | 0.428665 |
| historical purposes | 0.595112 |
| briefing | 0.438373 |
| navigation Skip | 0.747093 |
| transcript | 0.467972 |
| PASSCODE | 0.462888 |
| Important Instructions | 0.568688 |
| RADM | 0.428628 |
| United States Public | 0.717924 |
| dial | 0.437125 |
| National Center | 0.572066 |
| Health Service | 0.572861 |
| Immunization | 0.443793 |
| website | 0.431725 |
| list Skip | 0.746292 |
|
| CDC Media | 0.588747 |
| question | 0.500802 |
| director | 0.428367 |
| page options Skip | 0.902568 |
| start | 0.428207 |
| USPHS | 0.46575 |
| assistant surgeon general | 0.727505 |
| touchtone phone | 0.583874 |
| ET | 0.432443 |
| Thursday | 0.433003 |
| Anne Schuchat | 0.576472 |
| Respiratory Diseases | 0.580448 |
| time | 0.427064 |
| press conference | 0.557138 |
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Centers for Disease Control and Prevention |
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Surveillance and Preparedness for Ebola Virus Disease - New York City, 2014 |
Isaac Benowitz, MD1,2, Joel Ackelsberg, MD2, Sharon E. Balter, MD2, Jennifer C. Baumgartner, MSPH2, Catherine Dentinger, FNP, MS2,3, Anne D. |
| clear reporting criteria | 0.430048 |
| Ebola surveillance | 0.566075 |
| Jennifer C. Baumgartner | 0.450454 |
| New York City | 0.467104 |
| infection control guidance | 0.434188 |
| health care providers | 0.703892 |
| laboratory studies | 0.436104 |
| citywide conference calls | 0.433212 |
| West African immigrants | 0.458129 |
| health care community | 0.48648 |
| F. Kennedy International | 0.436077 |
| Isaac Benowitz | 0.447139 |
| health care facilities | 0.499002 |
| low-risk exposure | 0.443016 |
| health care settings | 0.503066 |
| electronic health | 0.471577 |
| Ebola patients | 0.745389 |
| Ebola | 0.835884 |
| Jay K. Varma | 0.44911 |
| Ebola virus disease | 0.661994 |
| alternate diagnoses | 0.43871 |
| affected area | 0.431581 |
| Ebola cases | 0.575556 |
| recent travel history | 0.447972 |
| emergency medical services | 0.445346 |
|
| Ebola case | 0.574678 |
| low-risk exposure factors | 0.42857 |
| Sharon E. Balter | 0.455206 |
| infection control precautions | 0.435757 |
| viral hemorrhagic fever | 0.437496 |
| health care workers | 0.608711 |
| Scott A. Harper | 0.451715 |
| local hospitals | 0.445097 |
| health care | 0.956321 |
| travel history | 0.509301 |
| electronic health alert | 0.466473 |
| Ebola-affected country | 0.448821 |
| New York | 0.544503 |
| Lucretia E. Jones | 0.456858 |
| American health care | 0.525955 |
| complete blood count | 0.427677 |
| Public Health Preparedness | 0.474691 |
| Ellen H. Lee | 0.450107 |
| local health care | 0.491075 |
| Ebola testing | 0.591102 |
| West Africa | 0.585192 |
| DOHMH medical epidemiologists | 0.460207 |
| Ebola-specific data collection | 0.437581 |
| MD2 | 0.448001 |
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Preventing Chronic Disease | Effect of Cause-of-DeathTraining on Agreement Between Hospital Discharge Diagnoses andCause of Death Reported, Inpatient Hospital Deaths, New York City,2008-2010 - CDC |
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. |
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| 12670 |
Centers for Disease Control and Prevention |
Video |
en |
Have You Heard? | Meningococcal Disease |
Have YOU heard? Meningococcal disease is a serious, potentially fatal illness. There are approximately 1,000-2,000 cases of meningococcal disease in the United States each year. Pre-teens, adolescents, and college freshmen who live in dorms are at an increased risk for meningococcal disease. Regular check-ups during the pre-teen and adolescent years are great opportunities for your child to receive the meningococcal and other recommended vaccines.
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://www.cdc.gov/cdctv/ |
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Centers for Disease Control and Prevention |
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State and Regional Prevalence of Diagnosed Multiple ChronicConditions Among Adults Aged ?18 Years - United States, 2014 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| national prevalence | 0.378276 |
| higher prevalence | 0.372359 |
| multiple chronic conditions | 0.504688 |
| affirmative response | 0.316234 |
| Pacific region prevalence | 0.365977 |
| Middle Atlantic | 0.361549 |
| state prevalence | 0.340269 |
| highest adult prevalence | 0.351853 |
| Sample Adult Core | 0.392061 |
| MCC presents | 0.395057 |
| two-tailed significance tests | 0.331026 |
| National Center | 0.315284 |
| national average | 0.670511 |
| West North Central | 0.603483 |
| largest sample sizes | 0.317427 |
| standard error | 0.360422 |
| care management | 0.328245 |
| MCC prevalence | 0.903964 |
| high diabetes prevalence | 0.35768 |
| average prevalence | 0.348623 |
| obstructive pulmonary disease | 0.53478 |
| state-level surveillance programs | 0.346154 |
| overall prevalence | 0.329953 |
| Adult Core questionnaire | 0.327168 |
| geographic disparities | 0.32371 |
|
| NHIS Sample Adult | 0.386111 |
| prevalence estimates | 0.638354 |
| states | 0.355182 |
| U.S. | 0.400874 |
| service delivery | 0.413619 |
| previous research | 0.314218 |
| Health Statistics standard | 0.339544 |
| North Central regions | 0.364584 |
| MCC strategic framework | 0.406125 |
| East South Central | 0.607129 |
| South Central region | 0.342028 |
| higher MCC prevalence | 0.556262 |
| U.S. adults | 0.357342 |
| East North Central | 0.598807 |
| health | 0.383807 |
| MCC prevention activities | 0.491526 |
| MCC | 0.941201 |
| regional prevalence estimates | 0.405144 |
| chronic conditions | 0.570728 |
| U.S. states | 0.331849 |
| relative standard error | 0.312027 |
| national MCC prevalence | 0.487602 |
| North Central | 0.608184 |
| coronary heart disease | 0.441211 |
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