| 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 |
|
| 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 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 5630 |
Centers for Disease Control and Prevention |
Html |
en |
Methylcyclohexane - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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 |
|
CLICK HERE |
| 6876 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 8358 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Multistate Outbreak of SalmonellaInfantis, Newport, and Lille Infections Linked to Live Poultry froma Single Mail-Order Hatchery in Ohio - March-September,2012 |
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. |
| single agricultural feed | 0.281635 |
| mmwrq@cdc.gov. | 0.218446 |
| purchasing live poultry | 0.429776 |
| materials warning customers | 0.274946 |
| outbreak strains | 0.248731 |
| original MMWR paper | 0.280171 |
| U.S. Government Printing | 0.278177 |
| Human Services | 0.266256 |
| Pediatr Infect Dis | 0.27284 |
| assistive technology | 0.213387 |
| Jennifer R. Mitchell | 0.400557 |
| Casey Barton Behravesh | 0.268916 |
| food regulatory agency | 0.308481 |
| outbreak investigation | 0.225861 |
| U.S. Department | 0.358937 |
| MMWR HTML versions | 0.273095 |
| human salmonellosis | 0.229909 |
| baby poultry | 0.297798 |
| subtypes disease-causing organisms | 0.311639 |
| Ohio Dept | 0.27054 |
| national network | 0.213805 |
| human Salmonella Typhimurium | 0.356497 |
| electronic PDF version | 0.274217 |
| human Salmonella infections | 0.558437 |
|
| ill persons | 0.495763 |
| multiple feed stores | 0.290938 |
| live poultry–associated salmonellosis | 0.316272 |
| feed stores | 0.387536 |
| Salmonella serotypes Infantis | 0.371564 |
| public health | 0.220735 |
| mail-order hatchery | 0.947352 |
| agricultural feed | 0.284574 |
| single mail-order hatchery | 0.634996 |
| subject line | 0.214011 |
| Contact GPO | 0.218621 |
| available purchase information | 0.289304 |
| Tony M. Forshey | 0.272307 |
| backyard flocks | 0.220589 |
| agricultural feed stores | 0.282646 |
| single outbreak | 0.232026 |
| National Poultry Improvement | 0.394425 |
| live poultry purchases | 0.403406 |
| original paper copy | 0.267405 |
| live poultry | 0.806622 |
| Salmonella infections outbreaks | 0.360639 |
| mail-order hatcheries | 0.403871 |
| poultry displays | 0.30615 |
|
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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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CLICK HERE |
| 9640 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 14188 |
Centers for Disease Control and Prevention |
Html |
en |
Prevalence of Sugar-Sweetened Beverage Intake Among Adults -23 States and the District of Columbia, 2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| highest prevalence | 0.261562 |
| Risk Factor Surveillance | 0.266097 |
| high school education | 0.412638 |
| blacks | 0.244924 |
| self-reported SSB | 0.296158 |
| BRFSS data | 0.244019 |
| SSB intake module | 0.389475 |
| daily intake | 0.326029 |
| higher reported consumption | 0.244202 |
| SSB consumption | 0.319138 |
| adult SSB intake | 0.389753 |
| daily SSB consumption | 0.313228 |
| potential adverse health | 0.264089 |
| usual intake assessment | 0.284879 |
| high SSB intake | 0.357935 |
| persons | 0.276418 |
| dietary intake data | 0.289543 |
| telephone survey | 0.252232 |
| regular soda | 0.249726 |
| Behavioral Risk Factor | 0.266151 |
| overall age-adjusted prevalence | 0.255267 |
| lower SSB intake | 0.350407 |
| adults | 0.3148 |
| excess intake | 0.272549 |
| fruit drinks | 0.248263 |
|
| phone follow-up survey | 0.26159 |
| states | 0.280539 |
| adverse health | 0.2656 |
| West Virginia | 0.290497 |
| state SSB intake | 0.368569 |
| non-Hispanic blacks | 0.243198 |
| daily intake prevalence | 0.31907 |
| Higher SSB intake | 0.357164 |
| SSB optional module | 0.30505 |
| public health | 0.26598 |
| daily ssb intake | 0.780615 |
| cardiovascular disease | 0.260438 |
| U.S. adults | 0.30862 |
| age-adjusted prevalence | 0.255399 |
| SSB intake questions | 0.369988 |
| highest prevalences | 0.24553 |
| added sugars | 0.270119 |
| SSB intake | 0.926568 |
| daily intake frequency | 0.300637 |
| adverse health consequences | 0.262619 |
| Chronic Disease Prevention | 0.250869 |
| SSB reduction | 0.309715 |
| SSB questions | 0.29216 |
| SSBs | 0.258169 |
|
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| 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 |
|
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