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Measles Outbreak Associated with Adopted Children from China- Missouri, Minnesota, and Washington, July 2013 |
Edith N. Nyangoma, MD1, Christine K. Olson, MD2, Stephen R. |
| CDC | 0.373742 |
| panel physician | 0.405229 |
| measles immunity | 0.543908 |
| family member | 0.372828 |
| health officials | 0.412617 |
| U.S. Department | 0.431231 |
| contact investigations | 0.370049 |
| children | 0.50618 |
| measles vaccination coverage | 0.515515 |
| public health risk | 0.377954 |
| timely routine vaccination | 0.39803 |
| additional cases | 0.374225 |
| routine measles immunization | 0.497913 |
| family members | 0.370125 |
| contact information | 0.373915 |
| additional measles cases | 0.578335 |
| initial measles exposure | 0.534758 |
| World Health Organization | 0.425572 |
| endemic measles | 0.467582 |
| Health Organization Representative | 0.371646 |
| adoptees | 0.414615 |
| measles vaccination | 0.566551 |
| nationwide vaccination campaigns | 0.382586 |
| secondary measles cases | 0.51118 |
| postexposure immunoglobulin | 0.383844 |
|
| World Health Organization††| 0.375665 |
| Public Health Response | 0.391874 |
| State public health | 0.387179 |
| Local health officials | 0.378374 |
| United States | 0.978209 |
| measles cases | 0.691598 |
| immigration medical examination | 0.421075 |
| crew members | 0.388974 |
| China | 0.434957 |
| child B. | 0.378038 |
| ill children | 0.465284 |
| local health departments | 0.438249 |
| public health | 0.450716 |
| adoptive parents | 0.374911 |
| adoption agency | 0.372987 |
| international adoptees | 0.370748 |
| overseas medical examinations | 0.372321 |
| internationally adopted children | 0.40433 |
| panel physician facilities | 0.371556 |
| laboratory-confirmed measles | 0.49667 |
| cerebral palsy | 0.499682 |
| Henan Province | 0.406418 |
| vaccine-preventable diseases | 0.390279 |
| measles | 0.791369 |
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CDC H1N1 Flu | Monovalent Vaccine Return Policy |
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| H1N1 vaccine | 0.623855 |
| PHER funds | 0.386837 |
| usable product | 0.347974 |
| proper disposal | 0.347715 |
| grantee | 0.230602 |
| H1N1 response | 0.358357 |
| H1N1 monovalent vaccines | 0.635833 |
| human flu virus | 0.727929 |
| H1N1 virus | 0.422123 |
| McKesson Customer Service | 0.847078 |
| vaccine shipment | 0.616875 |
| medical waste products | 0.555449 |
|
| temperature monitors | 0.342672 |
| reference purposes | 0.395315 |
| monovalent vaccine returns | 0.913544 |
| CDC Seasonal Flu | 0.683706 |
| telephone number | 0.351984 |
| vaccine viability | 0.88926 |
| dedicated phone line | 0.561042 |
| English language content | 0.649558 |
| IMMEDIATELY UPON RECEIPT | 0.402441 |
| un-used product | 0.368966 |
| transit | 0.207183 |
| H1N1 Helpdesk | 0.400127 |
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Public Health Surveillance during a Disaster |
The Health Studies Branch (HSB) provides expertise and leadership in epidemiology to local, state, federal and international partners to help them prepare for and respond to natural and man-made public health disasters. To do this, HSB conducts surveillance, rapid needs assessments, epidemiology studies, and provides training in disaster epidemiology to public health professionals. |
| potential disease outbreaks | 0.552941 |
| Disaster-Related Mortality Surveillance | 0.722858 |
| public health disaster | 0.704537 |
| Response webpage | 0.473496 |
| new toolkit | 0.471403 |
| death scene investigators | 0.54691 |
| death scenes | 0.478844 |
| weather-related event | 0.486495 |
| death scene | 0.641329 |
| Death Scene Investigation | 0.54928 |
| Natural Disasters | 0.479041 |
| action items | 0.478742 |
| public health surveillance | 0.759967 |
| mortality surveillance tools | 0.635676 |
| early detection | 0.478791 |
| potential problems | 0.485035 |
| disaster relatedness | 0.620952 |
| Mortality Surveillance Form | 0.70136 |
| disaster epidemiology training | 0.668453 |
| morbidity surveillance forms | 0.61943 |
| scientific consultation | 0.471939 |
| future disaster response | 0.698662 |
| literature review | 0.524115 |
| visit HSB | 0.562273 |
| specific needs | 0.478792 |
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| download form | 0.47357 |
| human health impacts | 0.571981 |
| download forms | 0.475637 |
| refillable forms | 0.484284 |
| HSB Disaster Response | 0.752871 |
| training materials | 0.477049 |
| track disease | 0.479447 |
| disaster | 0.900805 |
| certain disasters | 0.474727 |
| adverse health effects | 0.574029 |
| HSB assistance | 0.564917 |
| death scene data | 0.548595 |
| injury trends | 0.477041 |
| natural disaster | 0.676476 |
| technical assistance | 0.471343 |
| systematic collection | 0.484416 |
| Disaster Surveillance Workgroup | 0.877675 |
| Weather-Related Events | 0.483643 |
| CDC Disaster Surveillance | 0.749273 |
| data collection | 0.479284 |
| CDC Health Studies | 0.554236 |
| Disaster Training | 0.607595 |
| Medicolegal Death Scene | 0.549079 |
| active surveillance | 0.54646 |
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Preconception Care, Show Your Love Campaign - Posters |
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| Large Print | 0.395689 |
| Posters | 0.278378 |
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| download link | 0.386806 |
| larger font size | 0.956353 |
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Preventing Chronic Disease | Severe Obesity Among Children in New York City Public Elementary and Middle Schools, School Years 2006"07 Through 2010"11 - CDC |
Although studies have shown that childhood obesity overall is on the decline among New York City (NYC) public school children, the prevalence of severe childhood obesity has not been studied. |
| enrollment population | 0.371297 |
| public school children | 0.406816 |
| postal zip code | 0.35885 |
| severe obesity calculations | 0.459358 |
| high BIV | 0.390206 |
| high BIVs | 0.400036 |
| nonhigh BIV | 0.363721 |
| severely obese population | 0.374362 |
| grades K–8 | 0.374084 |
| CDC growth chart | 0.386799 |
| obese students | 0.379499 |
| public health office | 0.387651 |
| prevalence estimates | 0.455621 |
| New York City | 0.454894 |
| public school students | 0.417013 |
| school | 0.505757 |
| free-meal status | 0.405364 |
| childhood obesity prevalence | 0.457779 |
| childhood obesity researchers | 0.420412 |
| lower severe obesity | 0.453029 |
| severe obesity estimates | 0.474661 |
| overall obesity | 0.431845 |
| public health | 0.412763 |
| district public health | 0.387653 |
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| trends | 0.369255 |
| BMI | 0.42379 |
| severely obese records | 0.366636 |
| severe childhood obesity | 0.665808 |
| extreme obesity | 0.39737 |
| World Health Organization | 0.389974 |
| school borough | 0.385153 |
| severe obesity rates | 0.457097 |
| body mass index | 0.422255 |
| severely obese children | 0.417682 |
| severely obese groups | 0.365611 |
| exclusion criteria | 0.361455 |
| federal poverty threshold | 0.387094 |
| obesity epidemic | 0.406474 |
| York City Department | 0.381572 |
| growth charts | 0.396026 |
| childhood obesity | 0.697359 |
| NYC public school | 0.434511 |
| severe obesity | 0.967734 |
| severe obesity prevalence | 0.653493 |
| lowest obesity prevalence | 0.461623 |
| socioeconomic status | 0.363663 |
| 95th percentile | 0.606865 |
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Preventing Chronic Disease | Generational Differences inFast Food Intake Among South-Asian Americans: Results From aPopulation-Based Survey - CDC |
The goal of this study was to evaluate the association between generational status and fast food consumption among South-Asian Americans. We conducted a secondary analysis of data from the California Health Interview Survey for 2007, 2009, and 2011. After adjusting for control variables, South-Asian Americans of the third generation or more had a fast food intake rate per week 2.22 times greater than first generation South-Asian Americans. Public health practitioners must focus on ways to improve dietary outcomes among this fast-growing ethnic population in the United States. |
| Loma Linda University | 0.4291 |
| Public health practitioners | 0.289179 |
| cellular telephone numbers | 0.27195 |
| health promotion measures | 0.274207 |
| food intake rate | 0.348879 |
| Bachelor degree | 0.314774 |
| health education measures | 0.273765 |
| control variables | 0.281864 |
| fast food intake | 0.912186 |
| South-Asian American residents | 0.285717 |
| Poor dietary behaviors | 0.285327 |
| fast-growing ethnic population | 0.284187 |
| Health Educ Behav | 0.276331 |
| body mass index | 0.272661 |
| adult data files | 0.278044 |
| South-Asian American populations | 0.28745 |
| binomial regression analysis | 0.275461 |
| Health Interview Survey | 0.357505 |
| higher fast food | 0.308416 |
| public-access California Health | 0.292439 |
| previous literature | 0.274046 |
| relevant food items | 0.287442 |
| generational status | 0.333664 |
| biennial population-based survey | 0.282805 |
| food consumption rate | 0.307601 |
|
| generation South-Asian Americans | 0.475906 |
| California State University | 0.272577 |
| delete-1 jackknife method | 0.271733 |
| study | 0.286731 |
| fast food | 0.9301 |
| United States | 0.341935 |
| Stata Corp LP | 0.272528 |
| past-week fast food | 0.596348 |
| Associate degree | 0.273789 |
| California Health Interview | 0.359241 |
| dietary practices | 0.322388 |
| English language proficiency | 0.336955 |
| public health | 0.304062 |
| population-based survey data | 0.276492 |
| cardiovascular disease | 0.31571 |
| South-Asian American adults | 0.343799 |
| negative binomial regression | 0.276041 |
| Sri Lanka | 0.278141 |
| defines South-Asian Americans | 0.313599 |
| binomial regression | 0.27837 |
| Health Research Dissertation | 0.271587 |
| fast food consumption | 0.780949 |
| South-Asian Americans | 0.681041 |
| generational differences | 0.286479 |
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Conversations with the Director: Brandi Limbago, PhD |
The CDC Director’s webpage offers information on Dr. Thomas Frieden, who became the agency’s 16th director in June 2009. The pages features information on Dr. Frieden’s Weekly Focus, the Latest from Dr. Frieden (his RSS feed), and links to his bio, statements, videos, press releases, media appearances, photos, presentations, and speeches. |
| 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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Announcements: Lyme Disease Awareness Month - May2015 |
Lyme disease is a multisystem disease caused by the spirochete Borrelia burgdorferi. The organism is transmitted through the bite of certain species of blacklegged ticks (Ixodes spp.). |
| Lyme disease | 0.901334 |
| tablet application | 0.467855 |
| CDC | 0.489518 |
| Human Services | 0.512073 |
| free continuing education | 0.525278 |
| MMWR HTML versions | 0.517605 |
| U.S. Department | 0.510523 |
| Connally NP | 0.473976 |
| large commercial laboratories | 0.516584 |
| electronic PDF version | 0.512206 |
| Meek JI | 0.468168 |
| Clin Infect Dis | 0.526915 |
| health care providers | 0.614641 |
| Lyme disease cases | 0.634441 |
| Contact GPO | 0.474762 |
| commercial sources | 0.464344 |
| nationally notifiable condition | 0.539788 |
| current prices | 0.462762 |
| booklet Tickborne Diseases | 0.544131 |
| original paper copy | 0.514807 |
| New England | 0.470165 |
| spirochete Borrelia burgdorferi | 0.560546 |
| blacklegged ticks | 0.491073 |
| upper Midwest | 0.46681 |
|
| geographic distribution | 0.467989 |
| Hinckley AF | 0.467941 |
| Lyme disease testing | 0.617337 |
| United States | 0.598273 |
| U.S. Government Printing | 0.518112 |
| original MMWR paper | 0.515554 |
| mid-Atlantic states | 0.474559 |
| Lyme disease develop | 0.620642 |
| MMWR readers | 0.467227 |
| character translation | 0.46144 |
| tall grass | 0.462496 |
| Reference Guide | 0.468746 |
| local health departments | 0.545656 |
| multisystem disease | 0.505511 |
| format errors | 0.46114 |
| preventive measures | 0.464228 |
| typeset documents | 0.4644 |
| trade names | 0.464343 |
| corresponding cellular telephone | 0.522623 |
| joint pain | 0.462599 |
| certain species | 0.473878 |
| non-CDC sites | 0.463744 |
| Ixodes spp. | 0.481429 |
| vectorborne diseases | 0.472731 |
|
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FastStats - Birthweight and Gestation |
null |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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Announcement | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| endorsement | 0.440843 |
| virus disease outbreak | 0.593747 |
| spina bifida | 0.496145 |
| health care provider | 0.576498 |
| HTML versions | 0.482011 |
| Human Services | 0.55308 |
| nationwide effort | 0.491268 |
| focus | 0.417569 |
| neural tube defects | 0.620509 |
| U.S. Department | 0.549622 |
| awareness | 0.431068 |
| cytomegalovirus | 0.424786 |
| toxoplasmosis | 0.420308 |
| electronic PDF version | 0.558525 |
| fortified foods | 0.490641 |
| infections | 0.479601 |
| talk | 0.415972 |
| animals | 0.415761 |
| Additional information | 0.583222 |
| MMWR articles | 0.486 |
| pregnancy | 0.451697 |
| diseases | 0.415746 |
| commercial sources | 0.488372 |
| National Folic Acid | 0.62383 |
| chances | 0.418534 |
|
| listeriosis | 0.422097 |
| women | 0.467803 |
| infection | 0.436956 |
| original MMWR paper | 0.561151 |
| congenital syphilis | 0.500258 |
| MMWR readers | 0.488787 |
| character translation | 0.483556 |
| Zika | 0.446019 |
| theme | 0.417384 |
| folic acid | 0.798148 |
| good hygiene | 0.492555 |
| format errors | 0.483869 |
| HTML version | 0.480983 |
| final proofs | 0.485574 |
| trade names | 0.488438 |
| official text | 0.486778 |
| birth defects | 0.902438 |
| Birth Defects Prevention | 0.668354 |
| healthy baby | 0.49277 |
| following steps | 0.490628 |
| U.S. babies | 0.496757 |
| non-CDC sites | 0.486107 |
| Baby’s Protection | 0.503529 |
| risk | 0.449252 |
|
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