| 1327 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 4635 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 6928 |
Centers for Disease Control and Prevention |
Html |
en |
Air Quality Awareness Week - April 30-May 4, 2012 - Announcement |
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. |
| mmwrq@cdc.gov. | 0.458161 |
| U.S. Government Printing | 0.556603 |
| original MMWR paper | 0.537704 |
| body mass | 0.43955 |
| long-term damage | 0.428962 |
| Human Services | 0.555592 |
| irritated throat | 0.436994 |
| assistive technology | 0.460166 |
| high levels | 0.445702 |
| U.S. Environmental Protection | 0.591631 |
| respiratory systems | 0.433899 |
| toxic pollutants | 0.463799 |
| automobile exhaust | 0.437863 |
| breathing difficulties | 0.433502 |
| average adult breathes | 0.569994 |
| U.S. Department | 0.553393 |
| MMWR HTML versions | 0.54147 |
| MMWR readers | 0.437675 |
| Broadcast air quality | 0.618794 |
| air pollution levels | 0.673128 |
| industrial emissions | 0.44117 |
| Air Quality Awareness | 0.816655 |
| electronic PDF version | 0.53122 |
| Awareness Week activities | 0.441581 |
|
| certain air pollutants | 0.627978 |
| U.S. residents | 0.575553 |
| Air Aware | 0.502368 |
| subject line | 0.457376 |
| Additional information | 0.440139 |
| small particles | 0.437353 |
| Contact GPO | 0.454785 |
| urban smog | 0.443874 |
| health concerns | 0.435512 |
| typeset documents | 0.432687 |
| trade names | 0.432072 |
| commercial sources | 0.431988 |
| asthma attack | 0.549355 |
| paper copy | 0.546625 |
| asthma sufferers | 0.683934 |
| Asthma Awareness | 0.667494 |
| current prices | 0.429624 |
| persons | 0.43149 |
| Long-term exposure | 0.430943 |
| extreme cases | 0.433112 |
| non-CDC sites | 0.430788 |
| original paper copy | 0.537001 |
| high enough levels | 0.440662 |
|
CLICK HERE |
| 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. |
|
|
CLICK HERE |
| 10913 |
Centers for Disease Control and Prevention |
Html |
en |
Questions to Ask Your Doctor About Colorectal Cancer Screening |
Questions you should ask your doctor about colorectal (colon) cancer screening tests if you are age 50 or older or are at higher than normal risk. |
| benefits | 0.321636 |
| Task Force | 0.433724 |
| sigmoidoscopy | 0.336742 |
| U.S. Preventive Services | 0.547092 |
| colorectal polyps | 0.553966 |
| screening tests | 0.470446 |
| adults | 0.324333 |
| insurance provider | 0.412302 |
| colorectal cancer screening | 0.683974 |
| genetic syndromes | 0.415595 |
| increased risk | 0.432527 |
| colonoscopy | 0.330942 |
| Lynch syndrome | 0.412165 |
| hereditary non-polyposis colorectal | 0.623421 |
| colorectal cancer | 0.963346 |
|
| Medicare | 0.323952 |
| decision | 0.323279 |
| people | 0.36175 |
| inflammatory bowel disease | 0.510476 |
| doctor | 0.407154 |
| risks | 0.321823 |
| individual basis | 0.432031 |
| FAP | 0.334094 |
| screening test | 0.461926 |
| family history | 0.411034 |
| doctors | 0.321496 |
| screening methods | 0.473277 |
| insurance plan | 0.411852 |
| familial adenomatous polyposis | 0.520796 |
|
CLICK HERE |
| 12378 |
Centers for Disease Control and Prevention |
Image |
null |
Breast Cancer: Know the Risks (600W x 2182H) |
null |
|
|
CLICK HERE |
| 13238 |
Centers for Disease Control and Prevention |
Html |
en |
Campaign Materials - English | Know Hepatitis B |CDC |
Campaign Materials - English | Know Hepatitis B | CDC |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
CLICK HERE |
| 13429 |
Centers for Disease Control and Prevention |
Html |
en |
Use of Aspirin for Prevention of Recurrent AtheroscleroticCardiovascular Disease Among Adults - 20 States and the District ofColumbia, 2013 |
Jing Fang, MD1; Mary G. George, MD1; Yuling Hong, MD, PhD1; Fleetwood Loustalot, PhD1 (Author affiliations at end of text). |
| annual telephone survey | 0.573014 |
| fatal coronary events | 0.587123 |
| myocardial infarction | 0.584564 |
| National Health Interview | 0.577235 |
| Associated Risk Factors | 0.57189 |
| Public health practitioners | 0.573907 |
| optional BRFSS modules | 0.575419 |
| cardiovascular disease event | 0.585497 |
| data collection methods | 0.585132 |
| health care providers | 0.575125 |
| secondary prevention | 0.582521 |
| health care services | 0.575267 |
| ASCVD risk factors | 0.688772 |
| hemorrhagic stroke accounts | 0.59184 |
| BRFSS cardiovascular health | 0.593758 |
| ischemic vascular disease | 0.596618 |
| sociodemographic characteristics | 0.587699 |
| different risk groups | 0.574014 |
| regular aspirin therapy | 0.798941 |
| Behavioral Risk Factor | 0.581202 |
| current guidelines | 0.573845 |
| heart attack | 0.813753 |
| median state response | 0.574291 |
| ASCVD risk status | 0.604103 |
|
| atherosclerotic cardiovascular disease | 0.659529 |
| eligible respondents | 0.604806 |
| State Public Health | 0.583994 |
| secondary ASCVD prevention | 0.706398 |
| states | 0.607439 |
| acute coronary syndrome | 0.585298 |
| ASCVD risk factor | 0.595999 |
| heart attack prevention | 0.656305 |
| risk factors management | 0.572083 |
| cardiovascular health module | 0.707928 |
| pain relief | 0.615364 |
| ischemic stroke | 0.603925 |
| cardiovascular disease | 0.705769 |
| Million Hearts initiative | 0.609187 |
| antiplatelet medications | 0.592662 |
| Promote School Health | 0.577212 |
| regular aspirin | 0.980409 |
| stroke | 0.668975 |
| Chronic Disease Prevention | 0.624592 |
| Mary G. George | 0.577922 |
| cardiovascular disease events | 0.5898 |
| coronary heart disease | 0.731429 |
| stroke prevention | 0.657322 |
| cardiovascular disease prevention | 0.609005 |
|
CLICK HERE |
| 14282 |
Centers for Disease Control and Prevention |
Html |
en |
Opioid Overdose State Data |
null |
| drug overdose deaths | 0.651659 |
| North Carolina | 0.200873 |
| Rhode Island | 0.400119 |
| New York | 0.208425 |
| drug overdose death | 0.825415 |
| Multiple Cause Mortality | 0.356814 |
| statistically significant increases | 0.428164 |
| main driver | 0.232302 |
| significant increases | 0.438163 |
| drug overdose | 0.971761 |
| National Vital Statistics | 0.351366 |
| highest rates | 0.215317 |
|
| Wide-ranging Online Data | 0.359936 |
| New Jersey | 0.208693 |
| West Virginia | 0.397181 |
| overdose death rates | 0.828677 |
| South Census Regions | 0.375626 |
| opioid overdoses | 0.262924 |
| New Hampshire | 0.386334 |
| nonfatal injury | 0.215231 |
| public health professionals | 0.348666 |
| Epidemiologic Research | 0.208003 |
| public health information | 0.341414 |
|
CLICK HERE |
| 16449 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |