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Centers for Disease Control and Prevention |
Html |
en |
September is World Alzheimer's Month | CDC Features |
Learn more about alzheimer's disease. |
| public health principles | 0.452703 |
| national partners | 0.378686 |
| close collaboration | 0.37425 |
| ethnicity category | 0.385171 |
| disease-related deaths | 0.393304 |
| questions | 0.329264 |
| Association Trial Match | 0.444614 |
| Healthy Aging Program | 0.451885 |
| brain condition | 0.401763 |
| MMWR Study | 0.386977 |
| common form | 0.395433 |
| poor judgment | 0.384445 |
| memory problems | 0.385412 |
| state | 0.324985 |
| related dementias | 0.399368 |
| health behaviors | 0.38349 |
| Current efforts | 0.377172 |
| researchers | 0.324751 |
| Prevention Registry | 0.379919 |
| work | 0.325048 |
| Research Match | 0.384114 |
| person | 0.328305 |
| familiar places | 0.386479 |
| brain changes | 0.390825 |
| brain health | 0.390844 |
|
| Alzheimer’s research | 0.563472 |
| multiple factors | 0.385173 |
| wide range | 0.378613 |
| early stages | 0.467258 |
| various health conditions | 0.447981 |
| Alzheimer’s disease | 0.905611 |
| Healthy Brain Initiative | 0.54857 |
| daily activities | 0.394226 |
| odd places | 0.382213 |
| Health Road Map | 0.450962 |
| warning signs | 0.382145 |
| people | 0.331874 |
| chronic conditions | 0.384078 |
| disease increases | 0.416707 |
| high blood pressure | 0.4619 |
| memory loss | 0.464577 |
| health levels | 0.387351 |
| research studies | 0.446235 |
| address cognitive impairment | 0.446018 |
| urgent need | 0.382298 |
| prevention trials | 0.378675 |
| National Partnerships | 0.375917 |
| risk | 0.331189 |
| information | 0.327619 |
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Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Prevalence Estimates of Gestational Diabetes Mellitus in the United States, Pregnancy Risk Assessment Monitoring System (PRAMS), 2007"2010 - CDC |
The true prevalence of gestational diabetes mellitus (GDM) is unknown. The objective of this study was 1) to provide the most current GDM prevalence reported on the birth certificate and the Pregnancy Risk Assessment Monitoring System (PRAMS) questionnaire and 2) to compare GDM prevalence from PRAMS across 2007–2008 and 2009–2010. |
| birth certificate data | 0.411646 |
| lowest prevalence | 0.392095 |
| maternal age | 0.350917 |
| PRAMS ascertains | 0.37105 |
| highest prevalence | 0.398469 |
| PRAMS researchers | 0.378411 |
| lower prevalence | 0.379772 |
| PRAMS questionnaires | 0.393341 |
| PRAMS states | 0.386166 |
| Pregnancy Study Groups | 0.355299 |
| percent positive agreement | 0.356093 |
| significant difference | 0.353629 |
| New York City | 0.421014 |
| lower GDM prevalence | 0.523718 |
| PRAMS excludes women | 0.387642 |
| PRAMS working group | 0.37891 |
| population-based prevalence estimates | 0.418707 |
| GDM rates | 0.448762 |
| birth certificate variable | 0.363132 |
| true GDM prevalence | 0.535356 |
| PRAMS questionnaire | 0.480623 |
| highest prevalence estimates | 0.391101 |
| gestational diabetes mellitus | 0.401577 |
| current GDM prevalence | 0.569649 |
| GDM diagnoses | 0.449602 |
|
| PRAMS phase | 0.497672 |
| live births | 0.361971 |
| GDM diagnosis | 0.556422 |
| PRAMS questions | 0.379253 |
| lowest prevalence estimate | 0.388807 |
| percent negative agreement | 0.354942 |
| United States | 0.38451 |
| GDM prevalence estimate | 0.516013 |
| impaired glucose tolerance | 0.352002 |
| true prevalence | 0.421021 |
| Pregnancy Risk Assessment | 0.363579 |
| gestational diabetes | 0.46173 |
| PRAMS data | 0.393504 |
| glucose tolerance | 0.357932 |
| GDM question | 0.477969 |
| diagnostic criteria | 0.351994 |
| birth certificate | 0.733193 |
| PRAMS | 0.530557 |
| GDM likely lies | 0.456683 |
| GDM prevalence estimates | 0.562984 |
| lowest GDM prevalence | 0.530324 |
| CDC PRAMS Team | 0.377366 |
| PRAMS survey participants | 0.385688 |
| GDM prevalence | 0.901141 |
|
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| 4431 |
Centers for Disease Control and Prevention |
Html |
en |
Diseases & Conditions A-Z Index - T |
CDC Diseases and Conditions A-Z Index |
| Error processing SSI | 0.844474 |
| Whipworm Infection | 0.695359 |
| Microsoft PowerPoint file | 0.507257 |
| Clostridium tetani Infection | 0.787747 |
| processing SSI file | 0.840166 |
| (Tuberculosis) | 0.79044 |
| [Trichomonas Infection] | 0.792526 |
| Microsoft Word file | 0.510948 |
| Search Form Controls | 0.667279 |
| Sore Throat | 0.496332 |
| Francisella tularensis Infection | 0.916905 |
| Traumatic Brain Injury | 0.632565 |
| Mountain Spotted Fever | 0.477934 |
| Tuberculosis Training | 0.488865 |
| A-Z Index | 0.837326 |
| TB Surveillance Reports | 0.713414 |
| Rickettsia rickettsii Infection | 0.780994 |
| TB Education | 0.718204 |
| Tapeworm Infection | 0.778311 |
| (Lockjaw) Infection | 0.504767 |
| [Babesia Infection] | 0.779905 |
| Conditions A-Z Index | 0.733242 |
| Microsoft Excel file | 0.505516 |
|
| Tuberculosis Vaccine | 0.482777 |
| Taenia Infection | 0.769373 |
| Contact CDC | 0.496756 |
| [Toxoplasma Infection] | 0.786741 |
| Treponema pallidum Infection | 0.770349 |
| Trachoma Infection | 0.704529 |
| CDC Topics | 0.580114 |
| Search The CDC | 0.53959 |
| page options Skip | 0.51895 |
| Form Controls TOPIC | 0.489686 |
| Thoracic Aortic Aneurysm | 0.482725 |
| different file formats | 0.508855 |
| [Toxocara Infection] | 0.798568 |
| Trypanosoma cruzi Infection | 0.764461 |
| TB Testing | 0.719772 |
| HIV Coinfection | 0.578144 |
| Tuberculosis Skin Test | 0.557075 |
| Apple Quicktime file | 0.50148 |
| TB Data | 0.69168 |
| Mycobacterium tuberculosis Infection | 0.85333 |
| CDC A-Z | 0.616496 |
| Dipylidium Infection | 0.708786 |
| Adobe PDF file | 0.502944 |
|
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| 6961 |
Centers for Disease Control and Prevention |
Html |
en |
Obesity and extreme obesity rates decline among low-income preschool children |
Childhood obesity is a serious problem in the United States. Learn more... |
| Supplemental Nutrition Program | 0.636234 |
| recent declines | 0.482337 |
| certain populations | 0.470255 |
| Pediatric Nutrition Surveillance | 0.521721 |
| Childhood obesity | 0.689039 |
| sex-specific CDC BMI-for-age | 0.5341 |
| young children | 0.532027 |
| obesity prevalence | 0.719703 |
| obesity | 0.944027 |
| non-Hispanic Asian youth | 0.607929 |
| National Center | 0.546655 |
| NCHS data brief | 0.541548 |
| infants | 0.515041 |
| Special Supplemental Nutrition | 0.639834 |
| body mass index | 0.650167 |
| high body mass | 0.516943 |
| significant decrease | 0.472818 |
| adolescents age | 0.471012 |
| Maps interactive database | 0.526377 |
| MMWR report | 0.541057 |
| low-income families | 0.53275 |
| Health Statistics | 0.47269 |
| Flegal KM | 0.47437 |
| Asians/Pacific Islander | 0.53365 |
|
| 95th percentile | 0.476538 |
| overall prevalence | 0.629134 |
| United States | 0.622751 |
| WIC State Agency | 0.586771 |
| brief [PDF-705KB] | 0.538368 |
| CDC National Center | 0.531963 |
| poor health | 0.476449 |
| WIC-PC Survey table | 0.520741 |
| prevalence | 0.915001 |
| Health Statistics. | 0.470686 |
| non-Hispanic blacks | 0.613503 |
| WIC PC | 0.526551 |
| non-Hispanic whites | 0.610516 |
| Fryar CD | 0.476774 |
| young low-income children | 0.730077 |
| American Indians/Alaska Natives | 0.522691 |
| WIC State Agencies | 0.721417 |
| high weight-for-length | 0.609417 |
| preschool-aged children | 0.495647 |
| growth charts | 0.471629 |
| obesity surveillance | 0.60025 |
| United States Department | 0.529316 |
| American Indian/Alaska Native | 0.530002 |
| subsequent obesity | 0.583899 |
|
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| 7004 |
Centers for Disease Control and Prevention |
Html |
en |
Section 3 of the Tobacco Control Act - Purpose |
null |
| et seq. | 0.408422 |
| effective oversight | 0.399259 |
| tobacco-related diseases | 0.392632 |
| U.S.C. | 0.319366 |
| adults | 0.315892 |
| Drug Administration | 0.690386 |
| young people | 0.400767 |
| disease risk | 0.386933 |
| distribution | 0.319195 |
| issues | 0.317892 |
| research | 0.32921 |
| illicit trade | 0.394329 |
| division | 0.319131 |
| national standards | 0.399147 |
| harmful components | 0.401029 |
| conjunction | 0.316876 |
| identity | 0.317439 |
| safety | 0.316158 |
| particular concern | 0.402098 |
| dependence | 0.321272 |
| ingredients | 0.31695 |
|
| Cosmetic Act | 0.407712 |
| tobacco product manufacturers | 0.576388 |
| dependency effects | 0.393063 |
| tar | 0.318775 |
| public disclosure | 0.399102 |
| flexible enforcement authority | 0.496265 |
| appropriate regulatory controls | 0.45767 |
| public health officials | 0.476151 |
| Federal Food | 0.403781 |
| respect | 0.320015 |
| tobacco industry | 0.573726 |
| tobacco products | 0.979723 |
| marketing | 0.319216 |
| sale | 0.315924 |
| Federal regulatory authority | 0.515324 |
| future | 0.316222 |
| social costs | 0.385155 |
| cessation | 0.317749 |
| purchasers | 0.320228 |
| harmful tobacco products | 0.596546 |
|
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| 11600 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Vaccination Coverage Among Health Care Personnel —United States, 2013–14 Influenza Season |
Carla L. Black, PhD1, Xin Yue, MPS, MS1, Sarah W. Ball, ScD2, Sara M. |
| influenza vaccination coverage | 0.853794 |
| general HCP personnel | 0.497781 |
| clinical HCP | 0.552274 |
| volunteer HCP members | 0.491506 |
| employer vaccination policies | 0.439416 |
| vaccination coverage | 0.868234 |
| Internet panel survey | 0.631414 |
| influenza vaccination levels | 0.428981 |
| nonclinical HCP | 0.512474 |
| vaccination status | 0.403458 |
| population Internet panels | 0.30528 |
| opt-in Internet panels | 0.381278 |
| Comprehensive vaccination strategies | 0.433792 |
| HCP vaccination coverage | 0.730905 |
| nurse practitioners/physician assistants | 0.305596 |
| facilities offering vaccination | 0.397908 |
| HCP population | 0.466074 |
| employer vaccination requirements | 0.423527 |
| HCP | 0.996707 |
| health care settings | 0.423264 |
| vaccination promotion | 0.424486 |
| free on-site vaccination | 0.449044 |
| unvaccinated HCP | 0.482865 |
| Internet panels | 0.387222 |
| HCP working | 0.510548 |
|
| vaccination availability | 0.401165 |
| vaccination | 0.895765 |
| higher HCP vaccination | 0.633843 |
| overall HCP influenza | 0.536686 |
| vaccination requirements | 0.472472 |
| higher vaccination coverage | 0.474228 |
| ascertain vaccination promotion | 0.405676 |
| food service workers | 0.316509 |
| on-site vaccination | 0.449209 |
| self-reported influenza vaccination | 0.464187 |
| HCP influenza vaccination | 0.751892 |
| Nonclinical personnel††| 0.308731 |
| work settings | 0.347349 |
| clerical support workers | 0.316708 |
| seasonal vaccination coverage | 0.429918 |
| general population Internet | 0.308658 |
| vaccination promotion trend | 0.404484 |
| occupation type | 0.344463 |
| Carla L. Black | 0.310489 |
| Professional clinical HCP | 0.535935 |
| Internet panel sources | 0.312919 |
| influenza vaccination | 0.868462 |
| clinical personnel | 0.312014 |
| LTC settings | 0.543738 |
|
CLICK HERE |
| 12626 |
Centers for Disease Control and Prevention |
Video |
en |
Director's Briefing: Obesity Rates among Preschoolers |
CDC works 24/7 to save lives and protect people. This month's Vital Signs (www.cdc.gov/vitalsigns/) has good news: Obesity rates are decreasing among our nation's low-income preschoolers. The federal WIC program has improved nutritional standards, and communities across the nation are taking action --increasing breastfeeding rates, improving nutrition and physical activity in child care, and keeping school playgrounds open during non-school hours, just to name a few ways that have been proven to work. Still, 1 in 8 preschoolers is obese. Obese children are more likely to become obese adults and have lifelong physical and mental health problems. Communities must continue to help our children thrive.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://streaming.cdc.gov/vod.php?id=d445ad0752089116bffffe71aed0766420130801162439812 |
| Obesity Rates | 0.936452 |
| Preschoolers | 0.814786 |
|
|
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| 13147 |
Centers for Disease Control and Prevention |
Html |
en |
Sudden Unexpected Infant Death (SUID) and SuddenInfant Death Syndrome (SIDS) - SIDS and SUID - ReproductiveHealth |
null |
| complete autopsy | 0.571558 |
| different ways | 0.547573 |
| SUID cases | 0.538322 |
| SIDS | 0.722993 |
| data | 0.427581 |
| United States | 0.697187 |
| Reproductive Health | 0.544661 |
| sudden unexpected infant | 0.927912 |
| soft bedding—for example | 0.673948 |
| death scene | 0.669256 |
| strangulation | 0.428508 |
| Unknown cause | 0.581276 |
| sudden death | 0.729196 |
| syndrome | 0.430569 |
| review | 0.429987 |
| CDC resources | 0.553607 |
| examination | 0.428392 |
| jurisdictions | 0.46533 |
| nose | 0.430321 |
| circumstances | 0.46444 |
|
| types | 0.432457 |
| clinical history | 0.563574 |
| infants | 0.476151 |
| overlay | 0.433456 |
| sleep-related infant deaths | 0.817366 |
| strategies | 0.427504 |
| infant deaths | 0.84344 |
| future deaths | 0.582817 |
| people | 0.427119 |
| SUIDs | 0.461642 |
| SUID trends | 0.541441 |
| thorough investigation | 0.700179 |
| mouth | 0.429668 |
| tests | 0.427698 |
| matters | 0.427138 |
| Accidental suffocation | 0.642777 |
| activities | 0.427213 |
| pillow | 0.43146 |
| parts | 0.42879 |
| age | 0.465276 |
|
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| 13424 |
Centers for Disease Control and Prevention |
Html |
en |
Colorectal Cancer Identification Methods Among KansasMedicare Beneficiaries, 2008&ndash2010 |
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. |
| CRC screening recommendations | 0.561042 |
| CRC testing | 0.517332 |
| CRC test | 0.738479 |
| CRC test procedure | 0.547117 |
| CRC identification classification | 0.569802 |
| Kansas Medicare beneficiaries | 0.420925 |
| double-contrast barium enema | 0.449353 |
| CRC mortality rates | 0.572427 |
| CRC diagnosis | 0.568518 |
| ICD-9-CM diagnosis codes | 0.409492 |
| population-based Kansas Cancer | 0.393441 |
| multiple CRC primaries | 0.563521 |
| diagnostic-identified CRC | 0.517795 |
| routine cancer screening | 0.386286 |
| CRC screening | 0.786901 |
| Kansas Medical Center | 0.430404 |
| CRC incidence | 0.546631 |
| New CRC cases | 0.603857 |
| population-based registry records | 0.412498 |
| diagnostic workup | 0.383203 |
| prior invasive CRC | 0.558433 |
| CRC | 0.998697 |
| CRC outcomes | 0.544985 |
| claims history | 0.407253 |
|
| logistic regression analysis | 0.422218 |
| administrative claims data | 0.48101 |
| surveillance-identified CRC | 0.556501 |
| CRC tests | 0.6491 |
| invasive CRC | 0.57941 |
| CRC cases | 0.854582 |
| CRC screening test | 0.618102 |
| CRC patients | 0.537856 |
| National Cancer Institute | 0.405338 |
| Kansas Cancer Registry | 0.566694 |
| CRC prevention | 0.564944 |
| screening/surveillance-identified CRC | 0.671666 |
| colonoscopy indication | 0.383603 |
| multiple logistic regression | 0.388419 |
| CRC symptom ICD-9-CM | 0.560496 |
| population-based cancer registry | 0.471776 |
| 60-day window | 0.406908 |
| CRC screening rates | 0.639759 |
| population-based CRC cohort | 0.557192 |
| CRC identification | 0.856771 |
| Medicare-linked CRC cases | 0.718848 |
| CRC test indication | 0.605763 |
| CRC symptom diagnosis | 0.576079 |
| CRC identification methods | 0.787166 |
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| 15270 |
Centers for Disease Control and Prevention |
Html |
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CDC's Public Health Responses|PHPR |
Office of Public Health Preparedness and Response |
| Office | 0.442307 |
| Salmonella | 0.431886 |
| CDC | 0.673594 |
| Marburg virus | 0.543108 |
| United States | 0.542822 |
| Secretary | 0.427382 |
| Human Services | 0.538448 |
| command center | 0.54137 |
| exercise | 0.421107 |
| Hanna | 0.430728 |
| U.S. Department | 0.538833 |
| disaster | 0.424446 |
| Hurricanes Katrina | 0.552915 |
| public health threats | 0.884557 |
| central point | 0.540294 |
| weaknesses | 0.42868 |
| contact | 0.422966 |
| EOC | 0.51163 |
|
| public health | 0.9058 |
| E. Coli Outbreaks | 0.662105 |
| emergency response | 0.546264 |
| Ike | 0.430213 |
| Rita | 0.425513 |
| local partners | 0.554512 |
| lives | 0.425281 |
| real world response | 0.640086 |
| improvement plans | 0.522013 |
| Tropical Storm Edouard | 0.654814 |
| Emergency Operations Center | 0.660618 |
| Hurricanes Gustav | 0.557324 |
| gaps | 0.427325 |
| response operations | 0.58424 |
| Public Health Preparedness | 0.85689 |
| action reports | 0.525047 |
| Hurricane Dolly | 0.542556 |
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