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Centers for Disease Control and Prevention |
Html |
en |
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 |
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| PowerPoint slides | 0.367999 |
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| 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 |
|
| priority area | 0.355239 |
| contact adprogram | 0.331958 |
| additional effort | 0.3527 |
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| Battle materials | 0.344105 |
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| 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 |
Html |
en |
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 |
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| 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 |
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| people | 0.315936 |
| tobacco product indoors | 0.590804 |
| smoking-related death | 0.33588 |
| cigarette price increases | 0.411377 |
| fewer smokers | 0.360565 |
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| tobacco taxation | 0.539502 |
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Centers for Disease Control and Prevention |
Html |
en |
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 |
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| infectious diseases | 0.304466 |
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| Page | 0.293971 |
| regular monitoring | 0.288335 |
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| 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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| 9000 |
Centers for Disease Control and Prevention |
Video |
en |
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 |
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| Smokers | 0.932887 |
|
| CDC | 0.92604 |
| YouTube | 0.871802 |
|
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| 9931 |
Centers for Disease Control and Prevention |
Html |
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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 |
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|
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| Peru | 0.384874 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Short and Extended Messages'Pneumonic Plague' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
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| DOC | 0.368812 |
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| page | 0.276773 |
|
CLICK HERE |
| 10982 |
Centers for Disease Control and Prevention |
Html |
en |
EID News Synopsis: June 2014 | CDC Media Relations |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
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| similar tick-borne viruses | 0.603444 |
| half century | 0.430546 |
|
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| similar viruses | 0.471679 |
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| disease outbreak | 0.462626 |
| public health journal | 0.59609 |
| North Carolina-Chapel Hill | 0.558681 |
| Genetic analysis | 0.680223 |
| Institut Louis Malardé | 0.782459 |
| tick-borne phlebovirus | 0.451952 |
| Australian Animal Health | 0.563989 |
| mosquito-borne virus | 0.499989 |
| Van-Mai Cao-Lormeau | 0.575136 |
| 18-year absence | 0.437424 |
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| French Polynesia | 0.960911 |
| malaria transmission | 0.458936 |
| dengue virus serotype | 0.860188 |
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| dengue serotypes | 0.503611 |
|
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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 |
| 15624 |
Centers for Disease Control and Prevention |
Html |
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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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Centers for Disease Control and Prevention |
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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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