| 1327 |
Centers for Disease Control and Prevention |
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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 |
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| 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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| 4635 |
Centers for Disease Control and Prevention |
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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 |
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| 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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| 5630 |
Centers for Disease Control and Prevention |
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Methylcyclohexane - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6876 |
Centers for Disease Control and Prevention |
Html |
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More Americans Got Seasonal Flu Vaccination in 2009-10 than in Previous Years |
More Americans Got Seasonal Flu Vaccination in 2009-10 than in Previous Years - CDC |
| seasonal flu vaccination | 0.696717 |
| previous flu season | 0.68622 |
| CDC’s National | 0.497785 |
| school-located clinics | 0.480955 |
| Seasonal Flu Vaccinations | 0.73587 |
| Dr. Anne Schuchat | 0.552134 |
| Behavior Risk Factor | 0.540885 |
| Greatest Increase | 0.498645 |
| pregnant women | 0.479418 |
| Disease Control | 0.495544 |
| children | 0.527996 |
| Coverage —United States | 0.679605 |
| vaccination rates | 0.534369 |
| BRFSS survey | 0.478292 |
| percentage point jump | 0.570956 |
| Interim Results | 0.560784 |
| influenza vaccine | 0.516483 |
| chronic health | 0.569473 |
| chronic medical conditions | 0.545015 |
| H1N1 Flu Survey | 0.622441 |
| complete MMWR report | 0.543511 |
| additional opportunities | 0.479478 |
| seasonal flu | 0.957688 |
| NHFS respondents | 0.487682 |
| school-aged children | 0.492493 |
|
| Respiratory Diseases | 0.484642 |
| Seasonal Influenza Vaccination | 0.782944 |
| successful programs | 0.479536 |
| healthy adults | 0.489576 |
| chronic health condition | 0.560418 |
| chronic health conditions | 0.555633 |
| adults | 0.490143 |
| regular habit | 0.483463 |
| MMWR website | 0.476488 |
| annual flu vaccine | 0.633194 |
| CDC Report Shows | 0.59367 |
| State-Specific Seasonal Influenza | 0.769039 |
| BRFSS respondents | 0.489013 |
| highest percentage | 0.489672 |
| Dr. Schuchat | 0.536742 |
| H1N1 pandemic response | 0.550654 |
| 50 states | 0.479916 |
| real success | 0.479642 |
| H1N1 influenza | 0.510988 |
| seasonal vaccine coverage | 0.612553 |
| 2009-10 season | 0.507977 |
| eligible population | 0.567712 |
| greatest gain | 0.489835 |
| Vaccination Coverage —United | 0.712827 |
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| 6945 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012:11_0331 |
HIV infection, a communicable disease, and noncommunicable diseases (NCDs) are among the major health concerns worldwide. An estimated 33 million people live with HIV, two-thirds of them in sub-Saharan Africa, where three-fourths of all AIDS-related deaths occur. |
| NCDs | 0.495412 |
| major risk factor | 0.394423 |
| major risk factors | 0.393478 |
| sexually transmitted infection | 0.420044 |
| HIV programs | 0.538434 |
| noncommunicable diseases | 0.367489 |
| Integrated health systems | 0.428279 |
| integrated programs | 0.413055 |
| major health concerns | 0.42705 |
| chronic infectious diseases | 0.415028 |
| limited human resources | 0.382783 |
| positive health behaviors | 0.414324 |
| insufficient physical activity | 0.392306 |
| health management | 0.384652 |
| integrated approaches | 0.400883 |
| middle-income countries | 0.794991 |
| health systems | 0.501247 |
| World Health Organization | 0.41936 |
| similar vertical programs | 0.417996 |
| HIV infection increase | 0.523869 |
| Unsafe sexual behavior | 0.391529 |
| disease management programs | 0.42776 |
| chronic disease | 0.435867 |
| vertical approaches | 0.367818 |
| high-profile vertical program | 0.392749 |
|
| health workers | 0.372131 |
| weak health systems | 0.45966 |
| health care programs | 0.426298 |
| health needs | 0.394687 |
| different clinical interrelationships | 0.393945 |
| public health concern | 0.416166 |
| vertical programs | 0.431914 |
| HIV-family planning integration | 0.38511 |
| health care | 0.442146 |
| Different chronic diseases | 0.420271 |
| health care systems | 0.413409 |
| integrated HIV–NCD management | 0.413406 |
| dynamic health systems | 0.412829 |
| chronic diseases | 0.469425 |
| Different health | 0.368103 |
| health | 0.566009 |
| people | 0.390894 |
| management | 0.454722 |
| Public Health Service | 0.402573 |
| major chronic diseases | 0.419869 |
| antiretroviral treatments | 0.39413 |
| HIV infection | 0.973626 |
| chronic care programs | 0.424326 |
| NCD burden | 0.373723 |
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| 8789 |
Centers for Disease Control and Prevention |
Html |
null |
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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| 9640 |
Centers for Disease Control and Prevention |
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Global Health - China - Stories From The Field |
null |
| Shan Dong province | 0.466234 |
| major risk factors | 0.419552 |
| new food | 0.273301 |
| high sodium intake | 0.488227 |
| major contributor | 0.285557 |
| restaurant food | 0.275326 |
| cartoon videos | 0.258663 |
| China Ministry | 0.2906 |
| hypertension efforts | 0.492378 |
| salt consumption | 0.467807 |
| heart disease | 0.281318 |
| technical assistance | 0.271198 |
| Shandong Family Cooking | 0.468453 |
| news releases | 0.26464 |
| salt intake | 0.987966 |
| US-China collaboration | 0.273117 |
| noncommunicable disease | 0.27736 |
| Shan Dong | 0.490504 |
| government agencies | 0.266791 |
| national average | 0.271295 |
| salt reduction program | 0.874629 |
| BETTER HEALTH | 0.263677 |
|
| radio lectures | 0.264397 |
| low-sodium foods | 0.260794 |
| adult hypertension rates | 0.658744 |
| Shandong provincial government | 0.491865 |
| populous province | 0.291524 |
| adult population | 0.273131 |
| sodium content | 0.2763 |
| numerous mass media | 0.402895 |
| N’T SUFFER | 0.287194 |
| SHANDONG SALT REDUCTION | 0.701959 |
| government-lead salt reduction | 0.612999 |
| comprehensive strategy | 0.268271 |
| northeastern seaboard | 0.277588 |
| food labels | 0.27352 |
| china | 0.3291 |
| highest award | 0.25767 |
| hypertension patients | 0.586436 |
| project slogan | 0.274021 |
| salt reduction. | 0.497731 |
| Ms. Gao Yujuan | 0.477837 |
| hypertension | 0.806317 |
| gao yujuan | 0.486278 |
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| 12197 |
Centers for Disease Control and Prevention |
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For General Healthcare Settings in West Africa: SafelyCleaning and Disinfecting Areas Used by Patients with Confirmed orSuspected Ebola | Ebola Hemorrhagic Fever | CDC |
null |
| Ebola care centers | 0.637023 |
| Rubbish bin | 0.433788 |
| clean patient care | 0.560994 |
| Ebola transmission | 0.48138 |
| proper management | 0.698825 |
| proper places | 0.436083 |
| facility waste management | 0.547402 |
| limited laboratory studies | 0.537695 |
| healthcare facility | 0.555983 |
| chlorine solution | 0.793931 |
| environmental cleaning | 0.47212 |
| waste | 0.725457 |
| personal protective equipment | 0.538175 |
| CDC’s guidance | 0.531861 |
| nondisposable PPE components | 0.587668 |
| patients | 0.621885 |
| Practice good hand | 0.518908 |
| proper cleaning | 0.581362 |
| body fluids | 0.750717 |
| visible dirt | 0.536835 |
| confirmed Ebola virus | 0.617596 |
| improper waste disposal | 0.552671 |
| EVD | 0.60024 |
| blood pressure cuffs | 0.512207 |
| facility staff | 0.45244 |
|
| favorable conditions Ebola | 0.594686 |
| dirtiest areas | 0.442794 |
| disinfect patient areas | 0.65905 |
| hand hygiene | 0.539927 |
| clean areas | 0.465117 |
| clean chlorine solution | 0.589426 |
| Regular cleaning | 0.587916 |
| new infections | 0.574023 |
| spilled body fluids | 0.555555 |
| disinfection | 0.702383 |
| PPE | 0.626549 |
| chlorine solutions | 0.454349 |
| infection control | 0.589682 |
| healthcare staff | 0.559211 |
| important components | 0.566127 |
| toilet waste | 0.455232 |
| general medical waste | 0.575657 |
| high-risk activity | 0.567173 |
| reusable medical equipment | 0.506177 |
| general healthcare settings | 0.927035 |
| confirmed EVD | 0.467587 |
| Ebola treatment units | 0.62944 |
| healthcare workers | 0.558859 |
| disposable towels | 0.639356 |
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| 13238 |
Centers for Disease Control and Prevention |
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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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| 16449 |
Centers for Disease Control and Prevention |
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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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