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Measles Outbreak in an Unvaccinated Family and a PossiblyAssociated International Traveler - Orange County, Florida,December 2012-January 2013 |
Tania A. Slade, MPH1, Benjamin G. Klekamp, MSPH1, Edhelene Rico, MPH2, Alvaro Mejia-Echeverry, MD2 (Author affiliations at end of text). |
| robust public health | 0.558017 |
| urgent care contacts | 0.571167 |
| health care provider | 0.586322 |
| measles exposure notification | 0.821768 |
| measles elimination | 0.683537 |
| public health authorities | 0.578361 |
| Measles cases | 0.695909 |
| urgent care clinic | 0.785316 |
| health care facility | 0.67259 |
| health care providers | 0.654353 |
| additional cases | 0.588918 |
| theme park | 0.818517 |
| infectious periods | 0.556523 |
| urgent care facility | 0.648065 |
| Miami urgent care | 0.56934 |
| measles vaccination | 0.655935 |
| child care contacts | 0.629823 |
| measles case | 0.728184 |
| measles virus RNA | 0.79021 |
| public health response | 0.634999 |
| health care settings | 0.576635 |
| febrile rash illness | 0.663382 |
| public health agencies | 0.56035 |
| Orlando-area theme park | 0.748521 |
| measles infection | 0.649075 |
|
| measles transmission | 0.62592 |
| exposure notification letters | 0.634108 |
| United States | 0.767888 |
| infectious period | 0.583188 |
| Public Health Laboratories | 0.63877 |
| Tania A. Slade | 0.615234 |
| child care facility | 0.659956 |
| urgent care facilities | 0.563789 |
| care facility contacts | 0.556172 |
| high population immunity | 0.565766 |
| exposure period | 0.605693 |
| child care | 0.826988 |
| Florida Department | 0.735702 |
| local health departments | 0.557356 |
| public health | 0.818374 |
| health care | 0.738031 |
| measles exposure | 0.863103 |
| care facility | 0.760366 |
| Orange County | 0.837504 |
| pediatric urgent care | 0.819913 |
| urgent care | 0.854635 |
| rash onset | 0.676143 |
| measles | 0.998866 |
| Public health officials | 0.56439 |
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| 4575 |
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November 09, 2009: States Where Persons Infected with the Outbreak Strain of E. coli O157:H7 Live, United States, by State | E. coli CDC |
Get the latest CDC information on the recent infections from ground beef, and find out what you can do to protect yourself and your family. |
| O157 | 0.415243 |
| cluster | 0.350488 |
| CDC | 0.326019 |
| United States | 0.616271 |
| Maine | 0.319414 |
| ongoing case finding | 0.491683 |
| advanced secondary DNA | 0.486648 |
| strains | 0.32509 |
| human isolates | 0.413858 |
| number | 0.33564 |
| Massachusetts | 0.319504 |
| ill persons | 0.406793 |
| Beef | 0.322224 |
| E. coli | 0.92108 |
| outbreak strain | 0.748083 |
|
| secondary tests | 0.402763 |
| H7 Live | 0.545352 |
| Outbreak Investigations | 0.483445 |
| genetic associations | 0.404089 |
| New York | 0.401489 |
| California | 0.319614 |
| New Jersey | 0.401805 |
| Fairbank Farms | 0.435125 |
| persons | 0.442845 |
| New Hampshire | 0.402122 |
| Connecticut | 0.319554 |
| H7 Infections Associated | 0.632985 |
| Maryland | 0.319464 |
| Multistate Outbreak | 0.493577 |
| laboratory testing | 0.40601 |
|
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CDC Features - Newborn Hearing Screening Important for Development | CDC Features |
Babies begin to develop speech and language from the time they are born. All parents should learn the results of their baby's newborn hearing screening test. |
| CDC | 0.34754 |
| National Health Interview | 0.387435 |
| better ear | 0.347425 |
| general health | 0.348823 |
| available services | 0.347505 |
| profound hearing loss | 0.559558 |
| language development | 0.351963 |
| U.S. children | 0.348261 |
| newborn baby | 0.353362 |
| health conditions | 0.348445 |
| Nutrition Examination Survey | 0.388129 |
| greater loss | 0.356454 |
| support services | 0.348854 |
| early age | 0.347408 |
| infants | 0.346932 |
| hearing screening | 0.573943 |
| voices | 0.322917 |
| metropolitan Atlanta | 0.348837 |
| Early Hearing Detection | 0.686278 |
| language skills | 0.34809 |
| hearing loss | 0.981658 |
| social development | 0.353711 |
| medical tests | 0.396649 |
| child | 0.363056 |
| parents | 0.311325 |
|
| Early identification | 0.355125 |
| timely follow-up testing | 0.387177 |
| United States | 0.353472 |
| hearing test | 0.526961 |
| cause | 0.319449 |
| babies | 0.417263 |
| newborn child | 0.350901 |
| ear nose | 0.350824 |
| sounds | 0.323483 |
| EHDI Program site | 0.384886 |
| five-county area | 0.34874 |
| baby’s doctor | 0.379729 |
| confirmed hearing loss | 0.537691 |
| services | 0.35033 |
| Follow-Up Survey | 0.347113 |
| demographic data | 0.347062 |
| nationally representative surveys | 0.389271 |
| old children | 0.346678 |
| speech | 0.333416 |
| newborn hearing | 0.514497 |
| baby | 0.40636 |
| intervention services | 0.349519 |
| hearing tests | 0.478476 |
| throat doctor | 0.399861 |
|
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Chromium(III) compounds (as Cr) - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 8789 |
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Preventing Chronic Disease | Impact of a Hospital-Level Intervention to Reduce Heart Disease Overreporting on Leading Causes of Death - CDC |
The quality of cause-of-death reporting on death certificates affects the usefulness of vital statistics for public health action. Heart disease deaths are overreported in the United States. We evaluated the impact of an intervention to reduce heart disease overreporting on other leading causes of death. |
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Centers for Disease Control and Prevention |
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Vital Signs: Alcohol Screening and Counseling | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| drinking problem | 0.28715 |
| brief onsite intervention | 0.269773 |
| binge drinking | 0.601079 |
| brief counseling | 0.364611 |
| health care team | 0.269011 |
| important health issue | 0.263251 |
| press star | 0.287559 |
| general health status | 0.257551 |
| adverse health problems | 0.257086 |
| alcohol | 0.578857 |
| health professionals | 0.551165 |
| health systems | 0.290711 |
| new health care | 0.274651 |
| patients | 0.403776 |
| tom frieden | 0.956665 |
| Affordable Care Act | 0.393088 |
| alcohol screening | 0.550483 |
| unhealthy drinking patterns | 0.315162 |
| brief intervention | 0.876639 |
| heavy drinking | 0.317401 |
| health problems | 0.424422 |
| new data | 0.328903 |
| youth drinking | 0.272542 |
| problem drinking patterns | 0.333602 |
| unhealthy drinking pattern | 0.310547 |
|
| eben brown | 0.266615 |
| deborah brauser | 0.268585 |
| vast majority | 0.415193 |
| high average drinking | 0.353359 |
| electronic tools | 0.255556 |
| TOM SKINNER | 0.42131 |
| john reichard | 0.258239 |
| critical health issue | 0.278797 |
| fetal alcohol syndrome | 0.283949 |
| Dr. Tom Frieden | 0.319152 |
| health care | 0.429492 |
| medical practices | 0.257976 |
| question | 0.44232 |
| health insurance plans | 0.329468 |
| health | 0.762908 |
| problem drinking | 0.747803 |
| electronic health records | 0.265377 |
| people | 0.506619 |
| david beasley | 0.269872 |
| excess drinking | 0.332218 |
| OPERATOR | 0.288354 |
| new health insurance | 0.277599 |
| preventable health problems | 0.265544 |
| high blood pressure | 0.317788 |
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Campaign Materials - English | Know Hepatitis B |CDC |
Campaign Materials - English | Know Hepatitis B | CDC |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
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| 13458 |
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Notes from the Field: Large Outbreak of Botulism Associatedwith a Church Potluck Meal - Ohio, 2015 |
Carolyn L. McCarty, PhD1,2; Kristina Angelo, DO2,3; Karlyn D. Beer, PhD2,3; Katie Cibulskas-White1; Kim Quinn, MS1; Sietske de Fijter, MS1; Rick Bokanyi, PhD1; Eric St. |
| Public Health Laboratory | 0.689015 |
| potluck foods | 0.669413 |
| botulism outbreaks | 0.694154 |
| botulinum neurotoxin type | 0.879953 |
| Strategic National Stockpile | 0.828895 |
| probable case definition | 0.690782 |
| largest botulism outbreak | 0.794451 |
| Eric St. Germain | 0.685566 |
| health department notification | 0.733083 |
| Brendan R. Jackson | 0.682599 |
| home-canned potatoes | 0.664682 |
| Botulism Associated | 0.748909 |
| Barbara E. Mahon | 0.687543 |
| improperly home-canned potatoes | 0.661473 |
| Fairfield Department | 0.787466 |
| Fairfield Medical Center | 0.845785 |
| Agam K. Rao | 0.690849 |
| potato salad | 0.910573 |
| Zoonotic Infectious Diseases | 0.775891 |
| Ohio Department | 0.707645 |
| potluck meal | 0.950196 |
| public health emergency | 0.731173 |
| 5Fairfield Medical Center | 0.661602 |
| early hospital discharge | 0.646328 |
|
| laboratory-confirmed botulism | 0.7212 |
| homemade potato salad | 0.697702 |
| public health | 0.78893 |
| botulinum toxin | 0.645972 |
| National Center | 0.645219 |
| County Public Health | 0.688906 |
| Carolyn L. McCarty | 0.838655 |
| Karlyn D. Beer | 0.693374 |
| confirmed case status | 0.689131 |
| church potluck meal | 0.94684 |
| emergency department | 0.74768 |
| botulinum antitoxin | 0.739973 |
| established home-canning guidelines | 0.65476 |
| similar clinical features | 0.671833 |
| Public Health Preparedness | 0.687264 |
| 2Epidemic Intelligence Service | 0.651181 |
| Columbus metropolitan area | 0.666215 |
| C. botulinum spores | 0.71966 |
| case definition | 0.709483 |
| Kara Jacobs Slifka | 0.679564 |
| botulism | 0.803631 |
| potluck food | 0.684429 |
| Clostridium botulinum type | 0.726801 |
|
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Disparities in Potentially Preventable Hospitalizations for Chronic Conditions Among Korean Americans, Hawaii, 2010–2012 |
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. |
| Korean American women | 0.43824 |
| nonpregnancy-related hospitalizations | 0.378447 |
| data | 0.381053 |
| Health Information Corporation | 0.361129 |
| unnecessary hospitalizations | 0.388644 |
| health care disparities | 0.361768 |
| whites | 0.438944 |
| older Korean Americans | 0.402699 |
| potentially preventable hospitalizations | 0.496552 |
| potential preventable hospitalizations | 0.440024 |
| working-age Korean Americans | 0.394499 |
| CHF hospitalizations | 0.385598 |
| white men | 0.356832 |
| frequent preventable chronic | 0.379666 |
| Korean Americans | 0.918026 |
| greater risk | 0.374425 |
| significant disparities | 0.369679 |
| preventable hospitalizations | 0.778028 |
| limited english proficiency | 0.365854 |
| health care costs | 0.359582 |
| at-risk Korean Americans | 0.389827 |
| Asian Americans | 0.388277 |
| preventable hospitalization rates | 0.443378 |
| Hawaii Health Information | 0.368233 |
| United States | 0.435944 |
|
| age group | 0.37035 |
| foreign-born Korean Americans | 0.406251 |
| preventable chronic conditions | 0.429108 |
| Korean American men | 0.506134 |
| preventive care | 0.370723 |
| health care | 0.538006 |
| Introduction
Korean Americans | 0.415132 |
| immigrated Korean Americans | 0.392123 |
| discharge data | 0.361407 |
| Preventable hospitalization rate | 0.381346 |
| Avoidable hospitalizations | 0.388912 |
| CHF-related hospitalizations | 0.386069 |
| health insurance reform | 0.379954 |
| Korean American populations | 0.365364 |
| Hawaii | 0.396671 |
| uninsured Korean Americans | 0.394824 |
| primary health care | 0.379342 |
| rate ratios | 0.354914 |
| Korean American elders | 0.356263 |
| preventable chronic condition | 0.393353 |
| chronic conditions | 0.60893 |
| US-born Korean Americans | 0.391202 |
| chronic preventable hospitalizations | 0.448286 |
| primary care | 0.372539 |
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US Adults' Perceptions of the Harmful Effects DuringPregnancy of Using Electronic Vapor Products Versus SmokingCigarettes, Styles Survey, 2015 |
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. |
| conventional cigarette smoke | 0.357568 |
| data | 0.275239 |
| harm perceptions | 0.319982 |
| electronic cigarettes | 0.314779 |
| lifetime | 0.280531 |
| conventional cigarettes | 0.342458 |
| pregnant women | 0.751305 |
| current cigarette smokers | 0.646086 |
| particularly cigarette smokers | 0.30307 |
| Disease Control | 0.329075 |
| smoking cigarettes | 0.296869 |
| tobacco | 0.305887 |
| health care providers | 0.316849 |
| higher percentage | 0.282857 |
| pregnancy | 0.408536 |
| nonreproductive aged women | 0.401647 |
| EVP users | 0.983298 |
| respondents | 0.425053 |
| tobacco products | 0.281182 |
| EVPs | 0.585717 |
| reproductive aged women | 0.498471 |
| EVP advertising | 0.3306 |
| survey | 0.291731 |
| cigarettes | 0.451287 |
| electronic hookahs | 0.295547 |
|
| cigarette smoking status | 0.361886 |
| fewer harmful constituents | 0.467033 |
| electronic vapor products | 0.519665 |
| conventional cigarette smoking | 0.398149 |
| EVP aerosol | 0.369101 |
| adults | 0.361611 |
| EVP products | 0.339703 |
| Century Smoke | 0.292946 |
| electronic cigars | 0.294291 |
| cigarette smoking | 0.776597 |
| current evp users | 0.709928 |
| regular cigarettes | 0.317008 |
| nicotine-containing products | 0.279752 |
| electronic pipes | 0.292825 |
| non-Hispanic whites | 0.298722 |
| vape pens | 0.293671 |
| public health | 0.30529 |
| harmful effects | 0.34822 |
| electronic vapor product | 0.309314 |
| hookah pens | 0.293778 |
| annual household income | 0.525963 |
| conventional cigarette | 0.432292 |
| Chronic Disease Prevention | 0.330973 |
| concurrent cigarette smoking | 0.316992 |
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