| 4927 |
Centers for Disease Control and Prevention |
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Pet Risks - Rabies |
A pet's exposure to rabies should be evaluated based on the pet's vaccination status; the type of animal that caused the exposure; and rabies data in the area. |
| CDC | 0.311287 |
| United States | 0.620525 |
| rabbits | 0.229941 |
| Bites | 0.23117 |
| case-by-case basis | 0.377961 |
| guinea pigs | 0.364004 |
| gerbils | 0.237338 |
| mice | 0.231689 |
| rodents | 0.334634 |
| local health department | 0.463285 |
| hamsters | 0.234001 |
| bat | 0.235436 |
| specific information | 0.335333 |
| ferrets | 0.23516 |
| chipmunks | 0.239076 |
| rabid animal | 0.394226 |
| animals | 0.348966 |
| rats | 0.231736 |
| specific animals | 0.336746 |
| distribution maps | 0.344748 |
| unusual manner | 0.358753 |
| area | 0.259795 |
| hares | 0.237358 |
|
| owner | 0.232286 |
| Unvaccinated dogs | 0.375054 |
| domestic animals | 0.34393 |
| expired vaccinations | 0.378513 |
| cases | 0.309823 |
| Marmota monax | 0.367772 |
| observation | 0.232893 |
| health department | 0.499032 |
| suspicion | 0.236353 |
| testing | 0.234836 |
| rabies surveillance data | 0.721039 |
| rabies | 0.91878 |
| strict isolation | 0.377101 |
| postexposure prophylaxis | 0.377241 |
| groundhogs | 0.240035 |
| best source | 0.349758 |
| cats | 0.268724 |
| PEP | 0.233487 |
| risk | 0.229884 |
| Woodchucks | 0.250807 |
| outbreaks | 0.232133 |
| Small mammals | 0.364449 |
|
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| 6241 |
Centers for Disease Control and Prevention |
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Saving Lives - CDC Works For You 24/7 |
CDC Works For You 24/7 Saving Money Through Prevention; Safeguarding the health of Americans where they work live and play is the core of CDC?s mission. Being good stewards of America's public health investment is critical to that mission?s fulfillment. |
| South America | 0.716341 |
| disease detectives | 0.876822 |
| Central America | 0.716401 |
| research outbreaks | 0.76998 |
| Emory University | 0.715695 |
| CDC experts | 0.8289 |
| Ebola outbreak | 0.733986 |
| response disease outbreaks | 0.847011 |
| Disease Control | 0.826827 |
| health crisis | 0.751138 |
| Malaria Vaccine Institute | 0.85929 |
| clinical trials | 0.712246 |
| Epi-X network | 0.706104 |
| Medical Research Institute | 0.814384 |
| significant progress | 0.708301 |
| foodborne disease outbreak | 0.832719 |
| EIS officers share | 0.813341 |
| Pacific Islands | 0.715531 |
| Enhance Survival | 0.705101 |
| leading research institutions | 0.81575 |
| famous event | 0.713769 |
| Escherichia coli O157 | 0.803888 |
| malaria research | 0.75588 |
| vaccine trial site | 0.818956 |
| American Heart Association | 0.817913 |
|
| bacteria Listeria monocytogenes | 0.806586 |
| Cardiac Arrest Registry | 0.813051 |
| Dr. Mary Hamel | 0.811103 |
| CDC malaria expert | 0.940957 |
| real-life stories | 0.707625 |
| new cases | 0.720205 |
| environmental health specialists | 0.822127 |
| entire communities | 0.707772 |
| global health sleuths | 0.836548 |
| health threats | 0.735715 |
| United States | 0.938117 |
| Drug Administration | 0.705796 |
| America′s health | 0.768397 |
| American citizens | 0.716546 |
| Southeast Asia | 0.71561 |
| local health departments | 0.818672 |
| mixed nuts | 0.706492 |
| health officers | 0.734809 |
| CDC scientists | 0.84586 |
| deadly viral disease | 0.83811 |
| key health officials | 0.81648 |
| CDC′s Epidemic Intelligence | 0.8003 |
| West Africa | 0.725278 |
| malaria candidate vaccine | 0.854776 |
|
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| 6711 |
Centers for Disease Control and Prevention |
Html |
en |
Calculating reach of evidence-based weight loss and memory improvement interventions among older adults attending Arkansas senior centers, 2008-2011. |
Older adults could benefit from public health interventions that address the health conditions they face. However, translation of evidence-based interventions into the community has been slow. |
| public health interventions | 0.29835 |
| reach | 0.339934 |
| senior center | 0.334904 |
| memory arm | 0.286451 |
| program | 0.36144 |
| Introduction
Older adults | 0.321447 |
| memory intervention | 0.502305 |
| Arkansas senior centers | 0.30269 |
| senior center attendees | 0.284572 |
| lay health educators | 0.340287 |
| REACH caregiver intervention | 0.308787 |
| obese older adults | 0.309512 |
| target population penetration | 0.278364 |
| weight loss | 0.464698 |
| larger target population | 0.281685 |
| memory improvement | 0.406112 |
| behavioral weight loss | 0.333571 |
| weight loss intervention | 0.423251 |
| Medical Sciences | 0.312427 |
| programs | 0.279699 |
| Little Rock | 0.285782 |
| Older Americans Act | 0.285058 |
| study | 0.346886 |
| memory improvement programs | 0.275761 |
| memory program | 0.293099 |
|
| community-dwelling older adults | 0.299662 |
| lifestyle intervention | 0.477366 |
| screening process | 0.329014 |
| potential reach | 0.287141 |
| obese senior adults | 0.282769 |
| evidence-based interventions | 0.282994 |
| senior center participants | 0.275511 |
| congregate meal program | 0.348935 |
| Memory Training Intervention | 0.31806 |
| senior centers | 0.927081 |
| public health | 0.328062 |
| weight control intervention | 0.301743 |
| body mass index | 0.277985 |
| program reach | 0.280026 |
| broader target population | 0.27697 |
| memory program participants | 0.286576 |
| target population | 0.689066 |
| older Americans | 0.382346 |
| Memory Improvement Program | 0.282649 |
| Diabetes Prevention Program | 0.314881 |
| memory improvement intervention | 0.361705 |
| older adults | 0.867383 |
| Program lifestyle intervention | 0.312817 |
| lifestyle intervention criteria | 0.327251 |
|
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| 6914 |
Centers for Disease Control and Prevention |
Html |
en |
Child Injury - 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. |
| decade | 0.531717 |
| electronic medical records | 0.808701 |
| learn-to-swim programs | 0.6762 |
| injuries | 0.799327 |
| proper safety training | 0.806793 |
| poison control centers | 0.813873 |
| Page | 0.527696 |
| Child Injury Prevention | 0.878171 |
| number | 0.584622 |
| falls | 0.558494 |
| Lesiones infantiles | 0.66325 |
| children | 0.732834 |
| workplace injuries | 0.74852 |
| trauma center care | 0.810224 |
| Align efforts | 0.677976 |
| child safety education | 0.834911 |
| Lo | 0.532642 |
| lives | 0.529769 |
| suffocation | 0.630513 |
| Visit www.cdc.gov/safechild | 0.6739 |
| protective equipment | 0.657741 |
| good role model—wear | 0.793357 |
| prescription drug monitoring | 0.815622 |
| fires | 0.582731 |
| common ways | 0.696676 |
|
| safety tips | 0.667784 |
| child injury | 0.951983 |
| problems | 0.527537 |
| partner organizations | 0.66913 |
| Car crashes | 0.895079 |
| Vital Signs | 0.660315 |
| death | 0.556933 |
| job task | 0.657561 |
| track progress | 0.665908 |
| Child injuries* | 0.724248 |
| Strengthen data collection | 0.820066 |
| poisoning | 0.578835 |
| helmet | 0.529677 |
| new parents | 0.665352 |
| severity | 0.536147 |
| que necesita saber | 0.818241 |
| pediatric visits | 0.657816 |
| safety standards | 0.672871 |
| CPR/first aid training | 0.830391 |
| seat belt | 0.652955 |
| common causes | 0.678741 |
| preventive services | 0.670356 |
| National Action Plan | 0.823836 |
| CDC Feature | 0.680098 |
|
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Centers for Disease Control and Prevention |
Html |
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Head Injuries and Bicycle Safety - Health Communication |
Head Injuries and Bicycle Safety - Gateway to Health Communication - CDC |
| peers | 0.426697 |
| great pain | 0.528079 |
| mother | 0.450209 |
| bike helmet | 0.634733 |
| bicyclist | 0.43082 |
| children | 0.719288 |
| properly fitted helmet | 0.772346 |
| Yes. Wearing | 0.53786 |
| helmets | 0.737658 |
| sidewalk | 0.42714 |
| young daughters | 0.520519 |
| bikes | 0.448347 |
| adolescents | 0.453185 |
| kind | 0.441734 |
| stitches | 0.426084 |
| wear bicycle helmets | 0.724569 |
| Millions | 0.428553 |
| emergency department care | 0.66028 |
| older children | 0.545453 |
| prevention strategies | 0.531515 |
| tremendous guilt | 0.537556 |
| bicycles | 0.425881 |
| deal | 0.44547 |
| hearing distance | 0.521897 |
| facial scars | 0.532348 |
|
| father | 0.484286 |
| head injury | 0.656104 |
| bike ride | 0.529383 |
| U.S. | 0.427951 |
| national survey | 0.549528 |
| young girl | 0.514342 |
| upstairs | 0.428451 |
| helmet | 0.90982 |
| important prevention method | 0.641012 |
| teenager | 0.426469 |
| bicycle-related injuries | 0.671809 |
| younger children | 0.547505 |
| bicyclists | 0.4306 |
| confidence | 0.425492 |
| traumatic brain injuries | 0.645551 |
| Talk | 0.425617 |
| emergency departments | 0.528405 |
| cyclists | 0.425577 |
| ten-year old boy | 0.628718 |
| ages | 0.428259 |
| risk | 0.425989 |
| time | 0.425859 |
| young salesman | 0.619488 |
| age | 0.426619 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Disease Detectives at Work-Detecting Salmonella | CDC Works For You 24/7 |
CDC Works For You 24/7 Protecting People - Disease Detectives at Work—Detecting Salmonella Infections from Backyard Flocks. A growing hobby of people around the country is to keep live poultry (chicks, chickens and ducks) in backyard flocks. This trend may be contributing to an ongoing increase in Salmonella outbreaks linked to these birds. In 2012, eight outbreaks of human Salmonella infections from contact with live poultry obtained from mail-order hatcheries occurred in the United States. These outbreaks resulted in 517 illnesses, 93 hospitalizations and 4 deaths. |
| Dr. Casey Barton | 0.438365 |
| CDC | 0.423895 |
| health-related educational poster | 0.433057 |
| collaborative prevention efforts | 0.429486 |
| Barton Behravesh | 0.452445 |
| day-old chicks | 0.37977 |
| local eggs | 0.374435 |
| great source | 0.37683 |
| ongoing outbreaks | 0.422413 |
| various ways | 0.373624 |
| Dr. Barton Behravesh | 0.43615 |
| Plant Health Inspection | 0.433539 |
| feed store industry | 0.450003 |
| backyard flocks | 0.730377 |
| agricultural officials | 0.379936 |
| live poultry displays | 0.513009 |
| public health officials | 0.444937 |
| multistate outbreaks | 0.424702 |
| CDC’s Division | 0.401872 |
| agriculture officials | 0.439985 |
| Environmental Diseases | 0.37577 |
| Deputy Branch Chief | 0.437792 |
| ongoing increase | 0.375742 |
| outbreaks | 0.515446 |
|
| additional outbreaks | 0.431472 |
| Outbreak Response | 0.457915 |
| raw poultry | 0.44784 |
| United States | 0.381797 |
| raw meat | 0.372085 |
| outbreak investigations | 0.377333 |
| birds | 0.385903 |
| mail-order hatchery industry | 0.465779 |
| human Salmonella infections | 0.694547 |
| Salmonella germs | 0.428387 |
| local health | 0.384204 |
| feed stores | 0.569792 |
| public health | 0.501213 |
| historically children | 0.370809 |
| CDC scientists | 0.397217 |
| environmental health officials | 0.453763 |
| simple things | 0.372763 |
| people | 0.371519 |
| agricultural feed stores | 0.441646 |
| National Poultry Improvement | 0.505719 |
| live poultry | 0.921566 |
| Prevention Branch | 0.444141 |
| Salmonella outbreaks | 0.501512 |
| mail-order hatcheries | 0.661855 |
|
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Centers for Disease Control and Prevention |
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Investigational Drug Available Directly from CDC for theTreatment of Infections with Free-Living Amebae |
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. |
| Jennifer R. Cope | 0.709069 |
| investigational drug | 0.657996 |
| mmwrq@cdc.gov. | 0.643957 |
| primary amebic meningoencephalitis | 0.778919 |
| United States | 0.747526 |
| original MMWR paper | 0.711029 |
| granulomatous amebic encephalitis | 0.780028 |
| Human Services | 0.727415 |
| Drug Administration | 0.743722 |
| assistive technology | 0.640727 |
| treatment recommendations | 0.635821 |
| FLA infection | 0.88871 |
| U.S. Department | 0.724373 |
| MMWR HTML versions | 0.714401 |
| MMWR readers | 0.622269 |
| CDC Emergency Operations | 0.826055 |
| vitro activity | 0.735192 |
| B. mandrillaris | 0.63843 |
| FLA infections | 0.864638 |
| U.S. Government Printing | 0.715975 |
| access IND | 0.63495 |
| electronic PDF version | 0.704859 |
| miltefosine-containing regimen | 0.665862 |
|
| Zoonotic Infectious Diseases | 0.943484 |
| fatal infections | 0.696167 |
| timely treatment | 0.647545 |
| specimen collection guidance | 0.715855 |
| Naegleria fowleri* | 0.670195 |
| gastrointestinal symptoms | 0.620196 |
| National Center | 0.732126 |
| Acanthamoeba species.§ | 0.65333 |
| subject line | 0.639351 |
| Contact GPO | 0.637088 |
| single-patient emergency | 0.627695 |
| Acanthamoeba species infections | 0.826735 |
| free-living amebae | 0.638461 |
| miltefosine-containing treatment regimen | 0.796656 |
| FLA expert | 0.774374 |
| investigational new drug | 0.7562 |
| case reports | 0.622492 |
| Environmental Diseases | 0.731795 |
| CDC assistance | 0.747101 |
| fulminant Naegleria infections | 0.83765 |
| original paper copy | 0.708568 |
| FLA | 0.901104 |
| diagnostic assistance | 0.622216 |
|
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| 11443 |
Centers for Disease Control and Prevention |
Html |
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Prevalence and Characteristics of Sexual Violence, Stalking, and Intimate Partner Violence Victimization - National Intimate Partner and Sexual Violence Survey, United States, 2011 |
Matthew J. Breiding, PhD. |
| severe physical violence | 0.313175 |
| unwanted sexual violence | 0.263417 |
| Sexual Violence Survey | 0.292333 |
| National Intimate Partner | 0.282167 |
| case count | 0.29083 |
| non-Hispanic black women | 0.291359 |
| sexual coercion | 0.325191 |
| physical violence | 0.435809 |
| psychological aggression | 0.271002 |
| violence type | 0.261305 |
| Indian/Alaska Native women | 0.307694 |
| victims | 0.416329 |
| statistically reliable prevalence | 0.296517 |
| male perpetrators | 0.279156 |
| violence prevention | 0.261874 |
| partner violence–related impact | 0.291832 |
| female stalking victims | 0.279549 |
| sexual violence victimization | 0.277116 |
| lifetimes | 0.361936 |
| unwanted sexual contact | 0.411038 |
| non-Hispanic black men | 0.260907 |
| male victims | 0.370184 |
| survey | 0.324232 |
| women | 0.510867 |
|
| violence victimization results | 0.261447 |
| male stalking victims | 0.304429 |
| Pacific Islander | 0.261915 |
| United States | 0.274622 |
| contact sexual violence | 0.363351 |
| intimate partner | 0.991995 |
| male sexual violence | 0.277923 |
| physical violence behaviors | 0.264558 |
| rape | 0.330076 |
| public health burden | 0.278654 |
| partner violence victimization | 0.367794 |
| men | 0.464577 |
| physical violence victimization | 0.262438 |
| non-Hispanic white men | 0.287642 |
| sexual violence | 0.859553 |
| female victims | 0.334659 |
| perpetrator | 0.3155 |
| female sexual violence | 0.276946 |
| reliable prevalence estimate | 0.27593 |
| statistically reliable estimates | 0.296454 |
| non-Hispanic white women | 0.290659 |
| intimate partner violence | 0.737094 |
| American Indian/Alaska Native | 0.380579 |
| age | 0.328476 |
|
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| 12728 |
Centers for Disease Control and Prevention |
Video |
en |
Making the Business Case for Prevention: Healthy Corner Stores (2:48) |
Providing fresh fruits and vegetables is a win-win for two corner store owners in Louisville, Kentucky and their local customers. Learn how sales of healthy items are soaring in neighborhoods where store owners chose to make healthy living easier for their customers, improving community health and increasing store profits at the same time.
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/HealthyCornerStores/Wmv/HealthyCornerStores.wmv |
| Prevention | 0.333701 |
| Healthy Corner Stores | 0.99192 |
|
|
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| 12813 |
Centers for Disease Control and Prevention |
Html |
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Responding to a Concussion and Action Plan for Coaches | HEADS UP | CDC Injury Center |
null |
| repeat concussion | 0.203845 |
| athlete’s health | 0.21219 |
| young athlete | 0.911383 |
| medical provider | 0.301482 |
|
| health care provider | 0.836743 |
| concussion | 0.576298 |
| possible concussion | 0.416383 |
|
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