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Outbreaks of Acute Gastroenteritis Transmitted by Person-to-Person Contact - United States, 2009-2010 |
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. | 0.454628 |
| person-to-person age outbreaks | 0.911508 |
| emergency department visits | 0.488749 |
| Human Services | 0.479603 |
| assistive technology | 0.454981 |
| MMWR HTML versions | 0.480167 |
| U.S. Department | 0.476247 |
| clinical data | 0.452946 |
| person-to-person transmission | 0.537037 |
| electronic PDF version | 0.482596 |
| multiple/other etiology | 0.494026 |
| outbreak-associated illnesses | 0.454246 |
| commonly reported cause | 0.544433 |
| foodborne disease outbreaks | 0.67249 |
| national surveillance data | 0.503952 |
| original paper copy | 0.478628 |
| outbreaks | 0.914562 |
| nursing homes | 0.499015 |
| epidemic person-to-person AGE | 0.557212 |
| Bureau population estimates | 0.47896 |
| norovirus outbreaks | 0.675047 |
| United States | 0.452447 |
| NORS surveillance data | 0.540033 |
| U.S. Government Printing | 0.485438 |
|
| original MMWR paper | 0.483663 |
| health-care visits | 0.494316 |
| U.S. Census Bureau | 0.570152 |
| voluntary national surveillance | 0.491364 |
| appropriate hand hygiene | 0.48054 |
| laboratory-confirmed cases | 0.499497 |
| acute gastroenteritis | 0.453809 |
| animal contact | 0.454039 |
| general outbreak characteristics | 0.509555 |
| subject line | 0.455085 |
| NORS | 0.545994 |
| primary transmission mode | 0.489504 |
| unknown etiology | 0.580369 |
| CDC guidelines | 0.453754 |
| paper copy | 0.478737 |
| reporting site | 0.457319 |
| long-term–care facilities | 0.498978 |
| person-to-person contact | 0.612738 |
| local public health | 0.495188 |
| laboratory testing information | 0.492613 |
| National Outbreak Reporting | 0.516315 |
| Outbreak incidence | 0.472891 |
| Census Bureau data | 0.492151 |
| Shiga toxin-producing Escherichia | 0.491489 |
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Centers for Disease Control and Prevention |
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Tips From Former Smokers: Ellie's asthma story |
Elle was in her mid-30s when she had her first asthma attack, triggered exposure to secondhand smoke. She loved her job as a bartender, but began to dread going to work. |
| CDC | 0.952579 |
| otra oportunidad | 0.320074 |
| CDC Consejos | 0.411905 |
| graphic anti-smoking ads | 0.331607 |
| Marlene | 0.319644 |
| Disease Control | 0.520997 |
| healthy work environment | 0.33198 |
| Michael | 0.318601 |
| Secondhand Smoke | 0.335832 |
| Roosevelt | 0.332655 |
| Disease Ad | 0.324334 |
| Military Service | 0.321312 |
| Shawn | 0.319738 |
| Tooth Loss | 0.319754 |
| Smokers | 0.884972 |
| comment policy | 0.318267 |
| LGBT Scene | 0.339526 |
| Smokers campaign | 0.396869 |
| Vision Loss | 0.320172 |
| Duration | 0.394553 |
| Vicious Cycle | 0.322572 |
| Brian | 0.328023 |
| Private video | 0.362459 |
| Tiffany | 0.336384 |
| Asthma Ad | 0.337507 |
|
| Smoking | 0.350484 |
| Anuncio de Rose | 0.318226 |
| Centers | 0.36692 |
| Surgeon General Ad | 0.336064 |
| Ad | 0.340081 |
| Little Things | 0.317975 |
| Terrie Surgeon General | 0.372909 |
| Prevention | 0.366892 |
| Nathan | 0.319894 |
| Slow Recovery | 0.319737 |
| Tip Ad | 0.323821 |
| Eye Injections | 0.339899 |
| views | 0.384504 |
| CBS Evening News | 0.329015 |
| Brett | 0.319529 |
| CDC Tips | 0.459235 |
| La suerte | 0.319797 |
| James | 0.317739 |
| Younger Smokers | 0.400845 |
| Quit Smoking | 0.317885 |
| Terrie | 0.385323 |
| Anthem Ad | 0.324761 |
| Teenager Ad | 0.326512 |
| Tips | 0.724235 |
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Centers for Disease Control and Prevention |
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About Rotavirus |
Clinical Information on Rotavirus |
| healthy immune systems | 0.355041 |
| stool specimens | 0.290898 |
| severe rotavirus illness | 0.618059 |
| double-stranded RNA | 0.292799 |
| rotavirus antigen | 0.557532 |
| rotavirus vaccines | 0.552706 |
| transcriptase polymerase chain | 0.368221 |
| nonstructural proteins | 0.29148 |
| transmission | 0.226092 |
| Rotaviruses | 0.22657 |
| watery diarrhea | 0.314891 |
| young children | 0.290366 |
| primary mode | 0.289157 |
| large clinical trials | 0.353856 |
| Additional symptoms | 0.298054 |
| infants | 0.25308 |
| dehydration. Symptoms | 0.297906 |
| contaminated surfaces | 0.293103 |
| annual epidemics | 0.294358 |
| rotavirus disease | 0.93141 |
| dry mouth | 0.293877 |
| enzyme immunoassay | 0.292589 |
| rapid detection | 0.284222 |
| future infections | 0.29491 |
|
| dehydrated child | 0.303279 |
| United States | 0.369419 |
| rotavirus vaccine | 0.538732 |
| unvaccinated children | 0.298091 |
| fecal-oral route | 0.287737 |
| abdominal pain | 0.305447 |
| severe symptoms | 0.297327 |
| incubation period | 0.298617 |
| electron microscopy | 0.291863 |
| close contact | 0.286622 |
| characteristic wheel-like appearance | 0.373124 |
| temperate climate | 0.289148 |
| contaminated water | 0.295341 |
| winter seasonal pattern | 0.357639 |
| hospitalization | 0.236411 |
| oral rehydration therapy | 0.360337 |
| highest rates | 0.287211 |
| people | 0.229706 |
| routine vaccination | 0.287128 |
| environment | 0.231461 |
| natural infection | 0.296958 |
| intravenous fluids | 0.288039 |
| Latin word rota | 0.377394 |
| available vaccines | 0.29947 |
|
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FoodCORE Partners and Resources |
null |
| Environmental Health Specialists | 0.727831 |
| PulseNet | 0.244452 |
| CDC | 0.269778 |
| Public Health Laboratories | 0.724575 |
| Drug Administration | 0.474907 |
| NoroSTAT | 0.243806 |
| navigation Skip | 0.945251 |
| U.S. Department | 0.476634 |
| states | 0.245283 |
| CaliciNet | 0.243898 |
| Rapid Response Teams | 0.710286 |
| EHS-Net | 0.244083 |
| Integrated FoodSafety Centers | 0.723145 |
|
| Association | 0.24349 |
| page options | 0.522299 |
| FSIS | 0.328741 |
| FoodNet | 0.324589 |
| Network | 0.244222 |
| outbreak response capacity | 0.797166 |
| U.S. Food | 0.467835 |
| list Skip | 0.937041 |
| state collaborative programs | 0.744767 |
| Food Safety | 0.475132 |
| FoodCORE | 0.272162 |
| content Skip | 0.930408 |
| Excellence | 0.255038 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Improving Public Health Agency and System Performance: Fortification for Promoting Population Health and Wellness - CDC |
America faces a new frontier in preventing chronic disease. Nearly 80% of the 10,000 people who turn 65 each day have at least 1 chronic health condition, and most have multiple chronic conditions. The costs of braving this new world are staggering... |
| multiple chronic conditions | 0.488569 |
| Wood Johnson Foundation | 0.526774 |
| New York City | 0.474873 |
| public health departments | 0.576524 |
| Public Health Institute | 0.528179 |
| health outcomes | 0.476447 |
| Disease Control | 0.518094 |
| public health accreditation | 0.574545 |
| national public health | 0.681285 |
| public health advisors | 0.530549 |
| chronic disease program | 0.504952 |
| public’s health | 0.51704 |
| health accreditation program | 0.534685 |
| quality improvement methods | 0.479315 |
| population health | 0.474228 |
| public health areas | 0.546241 |
| Public Health Services | 0.548912 |
| Public Health Performance | 0.531807 |
| Public Health Initiative | 0.538904 |
| chronic disease | 0.624976 |
| Improvement Initiative funding | 0.478413 |
| public health agencies | 0.561378 |
| chronic disease prevention | 0.503307 |
| New Orleans Health | 0.507842 |
| Public Health Improvement | 0.625522 |
|
| chronic health condition | 0.539545 |
| performance improvement manager | 0.484108 |
| program faculty members | 0.474859 |
| performance improvement | 0.494517 |
| tribal health agencies | 0.520944 |
| Robert Wood Johnson | 0.526784 |
| Health Improvement Initiative | 0.608534 |
| Public Health Department | 0.542841 |
| health departments | 0.657624 |
| OSTLTS | 0.47558 |
| public health | 0.940006 |
| public health landscape | 0.528809 |
| Services Improvement Initiative | 0.480384 |
| public health programs | 0.53714 |
| chronic disease programs | 0.548388 |
| Public Health Associate | 0.538157 |
| Territorial Support | 0.502063 |
| Health Accreditation Board | 0.520313 |
| performance improvement managers | 0.484039 |
| local health care | 0.519823 |
| quality improvement capacity | 0.47781 |
| Public Health Service | 0.529381 |
| public health data | 0.53631 |
| greater program efficiency | 0.477385 |
|
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Centers for Disease Control and Prevention |
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Silica, General Publications - NIOSH Workplace Safety and Health Topic |
This NIOSH Topic Page presents information and links to other resources about Silica and Silicosis, and provides information to help workers protect themselves from occupational exposure to Silica. |
| NIOSH Hazard Review | 0.443159 |
| occupationally-related respiratory disease | 0.279838 |
| occupational diseases | 0.305055 |
| NIOSH Respirators Topic | 0.411313 |
| free silica | 0.351773 |
| Preventing Silicosis | 0.355216 |
| lung cancer | 0.273906 |
| pulmonary tuberculosis | 0.272355 |
| Respiratory Disease Mortality | 0.279167 |
| silica dust | 0.372181 |
| Recommended Standard–Crystalline Silica | 0.382382 |
| Work-Related Lung Disease | 0.307943 |
| NIOSH Manual | 0.373137 |
| respirable crystalline silica | 0.649319 |
| NIOSH Worker Notification | 0.39223 |
| Occupational Health Guideline | 0.353669 |
| hazardous occupational exposure | 0.313766 |
| NIOSH Hazard Alert | 0.428245 |
| Intelligence Bulletin No. | 0.276577 |
| amorphous silica | 0.363691 |
| respiratory disease surveillance | 0.310559 |
| Silicosis Prevention | 0.292612 |
| NIOSH B-Reader Program | 0.410341 |
| NIOSH Pocket Guide | 0.396489 |
| silica flour | 0.386219 |
|
| occupational lung diseases | 0.307551 |
| niosh topic page | 0.45873 |
| airborne exposures | 0.274526 |
| health effects | 0.36703 |
| chronic renal disease | 0.336405 |
| NIOSH Alert | 0.403037 |
| NIOSH Training Videos | 0.404289 |
| NIOSH B readers | 0.381293 |
| occupational exposure | 0.394873 |
| NIOSH Publication No. | 0.910581 |
| adverse health effects | 0.3437 |
| Occupational exposures | 0.334231 |
| health service area | 0.272387 |
| workers | 0.281027 |
| autoimmune disorders | 0.273374 |
| silica exposure | 0.350605 |
| NIOSH B Reader | 0.382112 |
| occupational safety | 0.304488 |
| airways diseases | 0.308645 |
| NIOSH video programs | 0.439718 |
| silicosis | 0.373038 |
| occupational health professionals | 0.349654 |
| occupational respiratory disease | 0.340098 |
| breathing silica | 0.340705 |
|
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Centers for Disease Control and Prevention |
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About the Course | Autism Case Training | Learn the Signs. Act Early. | NCBDDD |
The Centers for Disease Control and Prevention’s (CDC) National Center on Birth Defects and Developmental Disabilities (NCBDDD), in collaboration with a number of national partners, launched a public awareness campaign called “Learn the Signs. Act Early.” The campaign aims to educate parents about childhood development, including early warning signs of autism and other developmental disorders, and encourages developmental screening and intervention. |
| Developmental Disabilities | 0.260998 |
| pediatric health care | 0.482804 |
| CDC | 0.231171 |
| Birth Defects | 0.265905 |
| Child Health Bureau | 0.927301 |
| Human Services | 0.271721 |
| Wendy Ruben | 0.287063 |
| case studies | 0.28211 |
| Carol Weitzman | 0.293833 |
| Jana Thomas | 0.288683 |
| Catherine Rice | 0.269317 |
| developmental-behavioral faculty | 0.295748 |
| Yale University | 0.274449 |
| following course | 0.291834 |
| Disease Control | 0.546203 |
| Georgina Peacock | 0.299241 |
| Dr. Jennifer Zubler | 0.425093 |
| field validation | 0.278555 |
|
| Pediatrics Fellowship Training | 0.462952 |
| autism spectrum disorder | 0.49536 |
| Health Resources | 0.386546 |
| Carter Consulting | 0.271349 |
| MPH Porter Novelli | 0.484372 |
| National Center | 0.264317 |
| Developmental-Behavioral Pediatrics Curriculum | 0.474446 |
| fundamental components | 0.297631 |
| Course content | 0.304385 |
| external review | 0.27383 |
| Julia Whitney | 0.27906 |
| Services Administration Maternal | 0.480091 |
| Health Bureau Developmental-Behavioral | 0.503884 |
| Jennifer Zubler | 0.439543 |
| Patrick Mahoney | 0.285315 |
| course materials | 0.288288 |
| introductory course | 0.301194 |
| developmental-behavioral pediatric fellows | 0.531226 |
|
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Centers for Disease Control and Prevention |
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Health, United States, 2013 includes special section on prescription drugs | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| half | 0.526403 |
| commonly used prescription | 0.756932 |
| Human Services | 0.576763 |
| key health measures | 0.620632 |
| health risk behaviors | 0.621904 |
| insurance coverage | 0.563691 |
| tables | 0.521715 |
| Department | 0.513761 |
| commonly used classes | 0.623594 |
| Disease Control | 0.574047 |
| prescription drugs | 0.961024 |
| federal government | 0.560405 |
| 37th annual report | 0.638729 |
| Americans | 0.526695 |
| cholesterol-lowering drug | 0.588817 |
| blood thinners | 0.566204 |
| reproductive health | 0.568657 |
| life expectancy | 0.564864 |
| Health Statistics | 0.584037 |
| medical visits | 0.565334 |
| statin drugs | 0.622382 |
| private sector | 0.636392 |
| birth rates | 0.563987 |
| Drug poisoning deaths | 0.611815 |
| health care utilization | 0.621771 |
|
| Centers | 0.51374 |
| United States | 0.640568 |
| age group | 0.563386 |
| adults | 0.621958 |
| kidney disease | 0.565949 |
| percent | 0.712176 |
| Cardiovascular agents | 0.571211 |
| federal health agencies | 0.64341 |
| Key findings | 0.571049 |
| heart disease | 0.567068 |
| comprehensive report | 0.577499 |
| Center | 0.51372 |
| cold symptoms | 0.566713 |
| health data | 0.583514 |
| retail prescription drugs | 0.694333 |
| cardiovascular agent | 0.633825 |
| opioid analgesics | 0.581727 |
| annual growth | 0.559994 |
| antidepressants | 0.53115 |
| special section | 0.571701 |
| health expenditures | 0.571598 |
| high blood pressure | 0.624338 |
| Prevention’s National | 0.576636 |
| past decade | 0.563169 |
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Centers for Disease Control and Prevention |
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Living with Severe Joint Pain | CDC Features |
Almost 15 million US adults live with severe joint pain related to arthritis, which is the most common cause of disability in the United States. Severe joint pain limits a person’s ability to do basic tasks and affects their quality of life. Learning self-management skills and being active can help manage severe joint pain. |
| EnhanceFitness | 0.309474 |
| CDC-recommended physical activity | 0.386319 |
| mood | 0.309767 |
| local Ys | 0.354589 |
| adults | 0.39582 |
| classes | 0.318255 |
| Enroll | 0.311739 |
| breakdown | 0.310659 |
| physical activity—like walking | 0.39005 |
| African Americans | 0.354293 |
| Study highlights | 0.357132 |
| body | 0.310629 |
| psychological distress | 0.355079 |
| poor health | 0.352018 |
| life | 0.32271 |
| number | 0.31046 |
| swimming | 0.309967 |
| severe joint pain | 0.916835 |
| heart disease | 0.354927 |
| ability | 0.321658 |
| place | 0.309774 |
| proven programs | 0.350914 |
|
| severe arthritis pain | 0.539717 |
| strength training | 0.354003 |
| sessions | 0.310338 |
| CDC-recommended self-management education | 0.394897 |
| groups | 0.310334 |
| new CDC study | 0.403307 |
| self-management skills | 0.366014 |
| people | 0.356087 |
| Hispanics/Latinos | 0.310294 |
| low impact | 0.352329 |
| chronic conditions | 0.348192 |
| physical activity | 0.398413 |
| quality | 0.311565 |
| symptoms | 0.309534 |
| basic tasks | 0.361347 |
| multiple ways | 0.354497 |
| health problems | 0.348857 |
| arthritis | 0.576838 |
| person | 0.309975 |
| joint pain limits | 0.472705 |
| severe join pain | 0.474275 |
| community centers | 0.352403 |
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Centers for Disease Control and Prevention |
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Update: Interim Guidelines for Health Care Providers Caringfor Pregnant Women and Women of Reproductive Age with Possible ZikaVirus Exposure - United States, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| maternal IgM testing | 0.352998 |
| Zika virus | 0.944193 |
| anti-yellow fever virus | 0.383629 |
| prior Zika virus | 0.405271 |
| possible Zika virus | 0.409171 |
| pregnant women | 0.572764 |
| health care providers | 0.468254 |
| RT-PCR testing | 0.350167 |
| Zika virus exposure | 0.41166 |
| Zika virus RNA | 0.445759 |
| dengue virus | 0.471886 |
| pregnancy | 0.340822 |
| ongoing Zika virus | 0.642023 |
| Zika virus disease | 0.671492 |
| clinical illness | 0.459643 |
| Zika virus outbreak | 0.455457 |
| Zika virus transmission | 0.695567 |
| asymptomatic pregnant women | 0.426608 |
| laboratory-confirmed Zika virus | 0.405925 |
| positive IgM result | 0.362174 |
| maternal Zika virus | 0.446052 |
| Repeat Zika virus | 0.399444 |
| Local health officials | 0.347893 |
| potential risks | 0.347398 |
| fetal Zika virus | 0.415822 |
|
| intracranial calcifications | 0.348648 |
| Zika virus infection | 0.684944 |
| virus-specific neutralizing antibodies | 0.341434 |
| Zika virus immunoglobulin | 0.422762 |
| amniotic fluid | 0.371701 |
| virus encephalitis cases | 0.382557 |
| false positive IgM | 0.34099 |
| serologic testing | 0.366461 |
| dengue virus infection | 0.437945 |
| positive Zika virus | 0.420051 |
| virus IgM testing | 0.419171 |
| sexual transmission | 0.342433 |
| chikungunya virus infection | 0.417827 |
| reproductive age | 0.347882 |
| transcription-polymerase chain reaction | 0.366369 |
| serum specimens | 0.34583 |
| dengue virus RNA | 0.394175 |
| antibody titers | 0.351041 |
| Zika virus IgM | 0.478823 |
| Zika virus RT-PCR | 0.419192 |
| inconclusive Zika virus | 0.410916 |
| confirmatory neutralizing antibody | 0.357471 |
| negative IgM result | 0.340882 |
| IgM test result | 0.354935 |
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