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Centers for Disease Control and Prevention |
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Motor Vehicle Injuries |
Preventing motor vehicle injuries is a winnable battle. Motor vehicle-related injuries are the leading cause of death in the first three decades of life. |
| significant impact | 0.350147 |
| useful information | 0.330466 |
| United States | 0.383357 |
| public health partners | 0.540788 |
| PowerPoint slides | 0.367999 |
| cause | 0.204378 |
| case studies | 0.333373 |
| Vehicle Injuries Winnable | 0.749884 |
| local levels | 0.504216 |
| nation’s health | 0.346518 |
| motor vehicle | 0.702657 |
| visit www.cdc.gov/Motorvehiclesafety | 0.323312 |
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| priority area | 0.355239 |
| contact adprogram | 0.331958 |
| additional effort | 0.3527 |
| motor vehicle injury | 0.579898 |
| Battle materials | 0.344105 |
| Winnable Battle | 0.912495 |
| programmatic interventions | 0.387404 |
| specific data | 0.333726 |
| Motor vehicle-related injuries | 0.702371 |
| road traffic crashes | 0.605578 |
| cost-effective strategies | 0.363186 |
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| 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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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 |
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| 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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| 9000 |
Centers for Disease Control and Prevention |
Video |
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CDC: Tips from Former Smokers - Shawn's Story |
Shawn, diagnosed with throat cancer in his mid-forties, discusses how he never thought he'd get sick as a result of smoking in this video from CDC's "Tips From Former Smokers" campaign.
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=d658104d174574544e927f47d6abeaa320120517100338703
To learn more about tobacco control and prevention, go to BeTobaccoFree.gov |
| Shawn | 0.852758 |
| Smokers | 0.932887 |
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| CDC | 0.92604 |
| YouTube | 0.871802 |
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Centers for Disease Control and Prevention |
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CDC Online Newsroom - Digital Press Kit: New Study Finds Strong Evidence of Humans Surviving Rabies Bites Without Treatment - photos |
New Study Finds Strong Evidence of Humans Surviving Rabies Bites Without Treatment |
| Sergio Recuenco | 0.912471 |
| mulitple bats | 0.525369 |
| Humans | 0.33928 |
| Amy Gilbert | 0.678661 |
| email address | 0.460728 |
| photo | 0.592307 |
| photos | 0.333038 |
| Strong Evidence | 0.507615 |
| New Study | 0.503492 |
| Daniel Streicker | 0.761033 |
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| Treatment | 0.333096 |
| South American locations | 0.927658 |
| Santa Marta | 0.492359 |
| Surviving Rabies Bites | 0.794038 |
| vampire bat | 0.685608 |
| CDC Online Newsroom | 0.710616 |
| Digital Press Kit | 0.674867 |
| Field worker | 0.49738 |
| village | 0.35418 |
| Peru | 0.384874 |
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| 12462 |
Centers for Disease Control and Prevention |
Video |
en |
Novel Influenza and Pertussis |
Introducing Novel Influenza workgroup, Influenza A (H5N1) Epidemiology and Vaccine, GRADE and Policy Options for Influenza A (H5N1) Vaccine, Introduction Pertussis, Health-Care Personnel Pertussis and Tdap Vaccination
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://ftp.cdc.gov/pub/vaccines/acip/Oct2014/NovelInfluenza_Pertussis.mp4 |
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CLICK HERE |
| 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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Contact Lens-Related Corneal Infections - United States,2005-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| reports | 0.439604 |
| MDR database | 0.483754 |
| central corneal scar | 0.443734 |
| FDA Safety Information | 0.434635 |
| direct health care | 0.381483 |
| certain adverse events | 0.375966 |
| cosmetic lenses | 0.426921 |
| contact lenses | 0.94496 |
| health care professionals | 0.379486 |
| eye damage | 0.446045 |
| prescribed period | 0.380324 |
| Rigid gas-permeable lenses | 0.453636 |
| MDR report | 0.402751 |
| Event Reporting program | 0.425167 |
| FDA’s Medical | 0.386137 |
| modifiable factors | 0.416597 |
| daily disposable lenses | 0.624464 |
| corneal transplant | 0.381809 |
| microbial keratitis | 0.418231 |
| public health practice | 0.373952 |
| poor contact lens | 0.421115 |
| modifiable risk factor | 0.379897 |
| wear lenses | 0.541248 |
| eye care providers | 0.435144 |
| contact lens MDRs | 0.428105 |
|
| soft extended-wear lenses | 0.476012 |
| contact lens wearers | 0.58075 |
| daily wear lenses | 0.531829 |
| contact lens MDR | 0.459701 |
| gas permeable lenses | 0.455137 |
| device user | 0.400158 |
| soft daily wear | 0.422977 |
| Drug Administration | 0.410895 |
| contact lens | 0.682651 |
| eye care provider | 0.49764 |
| contact lens wear | 0.463917 |
| FDA MDR database | 0.435045 |
| contact lens manufacturers | 0.419308 |
| modifiable risk factors | 0.423136 |
| extended wear lenses | 0.466637 |
| adverse events | 0.50354 |
| corneal infections | 0.419577 |
| contact lens manufacturer | 0.423761 |
| Adverse Event Reporting | 0.428497 |
| corneal infection | 0.41708 |
| expired lenses | 0.442445 |
| urgent care | 0.402604 |
| FDA’s MDR | 0.390566 |
| eye infections | 0.46707 |
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