| 4958 |
Centers for Disease Control and Prevention |
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Science Clips - Monday, October 04, 2010 |
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| Sex Transm Dis. | 0.819883 |
| mental health | 0.698431 |
| adequate exposure biomarkers | 0.716956 |
| longitudinal study | 0.723786 |
| multilevel quality control | 0.717514 |
| health risk behaviors | 0.758072 |
| PLoS ONE. | 0.776809 |
| Health Commun. | 0.702483 |
| abortion patients report | 0.706345 |
| health blogs | 0.687368 |
| CDC Science Clips | 0.905827 |
| Nutrition Examination Survey | 0.832794 |
| new weekly digest | 0.72867 |
| Tumor gene expression | 0.70616 |
| Chief Science Officer | 0.736093 |
| population-based study | 0.728454 |
| national telephone surveys | 0.71648 |
| self-rated health status | 0.756076 |
| National Health | 0.760643 |
| Human monkeypox outbreak | 0.715511 |
| U.S. high school | 0.726123 |
| Congo Basin clade | 0.704029 |
| PLoS Curr. | 0.819028 |
| online health-communication program | 0.704919 |
| health literacy | 0.698446 |
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| Environ Health Perspect. | 0.762158 |
| Soc Sci Med. | 0.710657 |
| U.S. women | 0.727914 |
| Stephen B. Thacker | 0.842568 |
| vaccine clinical trials | 0.717324 |
| Health care-associated infections | 0.750146 |
| AIDS Patient Care | 0.718832 |
| Sep | 0.867035 |
| social norms media | 0.706489 |
| cultivate fatalistic beliefs | 0.704449 |
| local television news | 0.706962 |
| United States | 0.813548 |
| national birth prevalence | 0.726283 |
| Dent Res. | 0.728371 |
| trachomatis genital infection | 0.707821 |
| public health literature | 0.750481 |
| B. Thacker CDC | 0.899269 |
| Womens Health | 0.70683 |
| Sin Nombre virus | 0.724314 |
| outpatient medical cost | 0.711033 |
| Clin Vaccine Immunol. | 0.725629 |
| intimate partner violence | 0.700886 |
| postlicensure vaccine effectiveness | 0.716458 |
| Kirby RS | 0.724778 |
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| 5076 |
Centers for Disease Control and Prevention |
Html |
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Science Clips - Monday, August 23, 2009 |
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| Centers | 0.31694 |
| components | 0.319609 |
| endorsement | 0.386337 |
| Issue | 0.321167 |
| current awareness | 0.398651 |
| Articles | 0.317375 |
| methods | 0.316832 |
| findings | 0.341108 |
| Prevention | 0.316904 |
| inclusion | 0.319364 |
| Disease Control | 0.396945 |
| responsibility | 0.317479 |
| CDC Knowledge | 0.59786 |
| Action Science Clips | 0.912004 |
| factual accuracy | 0.400806 |
| omission | 0.325331 |
| new weekly digest | 0.507474 |
| views | 0.334121 |
| informational purposes | 0.392162 |
| Chief Science Officer | 0.487793 |
| conclusions | 0.32084 |
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| public health literature | 0.476406 |
| permission | 0.321296 |
| B. Thacker CDC | 0.801027 |
| original authors | 0.393566 |
| article | 0.330126 |
| way | 0.316752 |
| DHHS | 0.422581 |
| opinion | 0.333345 |
| non-CDC Websites | 0.394268 |
| persons | 0.316841 |
| original sources | 0.394704 |
| Vol. | 0.321192 |
| DISCLAIMER | 0.324993 |
| service | 0.318396 |
| References | 0.316517 |
| public domain | 0.399852 |
| news sources | 0.390893 |
| report | 0.31964 |
| Stephen B. Thacker | 0.681887 |
| items | 0.342908 |
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| 6118 |
Centers for Disease Control and Prevention |
Html |
en |
Colorectal Cancer Screening, Incidence, and Mortality - Press Briefing Transcript: July 5, 2011 |
CDC Vital Signs: Colorectal Cancer Screening, Incidence, and Mortality |
| colon cancer death | 0.586962 |
| colon cancer screenings | 0.583321 |
| cancer prevention program | 0.55947 |
| colorectal cancer prevention | 0.544806 |
| nearly two-thirds | 0.534227 |
| Tom Skinner | 0.548726 |
| David Beasley | 0.572337 |
| colorectal cancer screening | 0.569703 |
| Thomas Frieden | 0.830535 |
| Heidi Splete | 0.538161 |
| health care providers | 0.637073 |
| colon cancer cases | 0.593958 |
| risk factors | 0.55706 |
| polyps | 0.534436 |
| colorectal cancer | 0.581147 |
| Colon cancer deaths | 0.60129 |
| colon cancer prevention | 0.586545 |
| colon cancer rates | 0.621325 |
| Affordable Care Act | 0.559455 |
| health care costs | 0.535488 |
| fecal occult blood | 0.580132 |
| high risk | 0.531692 |
| Operator | 0.553889 |
| public health awareness | 0.533481 |
| age group | 0.533069 |
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| colon cancer screening | 0.755251 |
| good news | 0.533292 |
| Katie Couric | 0.546969 |
| colorectal cancer care | 0.554251 |
| colonoscopy | 0.558055 |
| health care | 0.661627 |
| Stacey Singer | 0.542458 |
| Mary Brophy Marcus | 0.569728 |
| public education | 0.537423 |
| health care systems | 0.574426 |
| question | 0.68417 |
| colon cancer | 0.999943 |
| occult blood testing | 0.551705 |
| electronic health records | 0.531852 |
| people | 0.62204 |
| doctor | 0.542243 |
| largest single risk | 0.532673 |
| Dr. Thomas Frieden | 0.566439 |
| strong family history | 0.582174 |
| new health insurance | 0.536758 |
| screening test | 0.532576 |
| Jane Norman | 0.536195 |
| Mike Stobbe | 0.56228 |
| Dr. Frieden | 0.584309 |
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| 6590 |
Centers for Disease Control and Prevention |
Html |
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Errata: Vol. 60, Nos. 51 & 52 |
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. | 0.40692 |
| facility type | 0.390734 |
| endorsement | 0.27954 |
| data | 0.235379 |
| Human Services | 0.519991 |
| assistive technology | 0.420831 |
| U.S. Department | 0.511224 |
| MMWR HTML versions | 0.510765 |
| receipt dates | 0.667422 |
| state prisons | 0.617987 |
| electronic PDF version | 0.507912 |
| percentage | 0.279725 |
| e-mail | 0.278189 |
| correctional facilities | 0.56677 |
| jails | 0.356948 |
| receipt date | 0.838184 |
| sentence | 0.28679 |
| Contact GPO | 0.400464 |
| 2009-10 influenza season | 0.549567 |
| commercial sources | 0.38254 |
| current prices | 0.374082 |
| original paper copy | 0.512527 |
| influenza season* | 0.411771 |
| Alternative Text | 0.381815 |
|
| United States | 0.785039 |
| original MMWR paper | 0.505619 |
| assistance | 0.237952 |
| title | 0.237688 |
| MMWR readers | 0.378593 |
| character translation | 0.374806 |
| file | 0.238121 |
| Persons | 0.238225 |
| format errors | 0.389705 |
| influenza season | 0.59555 |
| figure | 0.375553 |
| federal prisons | 0.618498 |
| subject line | 0.416742 |
| Health | 0.258501 |
| typeset documents | 0.377056 |
| trade names | 0.382654 |
| official text | 0.368481 |
| vaccine | 0.947472 |
| non-CDC sites | 0.376234 |
| report | 0.252289 |
| information | 0.238143 |
| proportions | 0.291815 |
| Accommodation | 0.23771 |
| electronic conversions | 0.367726 |
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| 8703 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Prevalence of Multiple Chronic Conditions Among US Adults: Estimates From the National Health Interview Survey, 2010 - CDC |
Preventing and ameliorating chronic conditions has long been a priority in the United States; however, the increasing recognition that people often have multiple chronic conditions (MCC) has added a layer of complexity with which to contend. The objective of this study was to present the prevalence of MCC and the most common MCC dyads/triads by selected demographic characteristics. |
| common MCC combinations | 0.727186 |
| private coverage | 0.657967 |
| MCC dyad | 0.777939 |
| higher prevalence | 0.69367 |
| lower prevalence | 0.577134 |
| significant differences | 0.599981 |
| National Health Interview | 0.585029 |
| multiple chronic conditions | 0.595952 |
| non-Hispanic black women | 0.659075 |
| population subgroups | 0.578035 |
| common MCC triad | 0.673916 |
| MCC dyads | 0.759621 |
| prevalent MCC combinations | 0.671935 |
| prevalent MCC dyad | 0.693543 |
| MCC prevalences | 0.646758 |
| Hispanic adults | 0.589071 |
| common MCC dyad | 0.701321 |
| Sample Adult Core | 0.657473 |
| health insurance coverage | 0.663022 |
| non-Hispanic black adults | 0.642331 |
| Health Interview Survey | 0.585077 |
| Sample Child Core | 0.577076 |
| arthritis | 0.576102 |
| prevalent MCC | 0.720958 |
| common MCC dyads/triads | 0.709707 |
|
| non-Hispanic black men | 0.655229 |
| common MCC | 0.840451 |
| obstructive pulmonary disease | 0.579521 |
| NHIS | 0.642368 |
| United States | 0.591864 |
| age group | 0.634161 |
| adults | 0.700084 |
| common MCC dyads | 0.726115 |
| MCC research | 0.685889 |
| prevalent MCC triads | 0.680982 |
| prevalence | 0.810165 |
| prevalent MCC dyads | 0.680164 |
| HHS MCC framework | 0.672891 |
| non-Hispanic white adults | 0.618212 |
| MCC patterns | 0.65253 |
| civilian noninstitutionalized population | 0.575787 |
| adult population | 0.58268 |
| MCC | 0.974865 |
| chronic conditions | 0.829323 |
| non-hispanic white men | 0.605949 |
| Non-Hispanic Asian/Pacific Islander | 0.57653 |
| non-Hispanic white women | 0.638085 |
| coronary heart disease | 0.617862 |
| non-hispanic american indian/alaska | 0.615097 |
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| 9534 |
Centers for Disease Control and Prevention |
Html |
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Notes from the Field: Investigation of a Cluster of NeuralTube Defects - Central Washington, 2010-2013 |
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. | 0.708733 |
| Developmental Disabilities | 0.742206 |
| excessive number | 0.699424 |
| central Washington | 0.775914 |
| Mandy Stahre | 0.751911 |
| spina bifida | 0.794662 |
| original MMWR paper | 0.7649 |
| U.S. Government Printing | 0.757536 |
| NTD-affected pregnancies | 0.841512 |
| adverse health outcomes | 0.77853 |
| Human Services | 0.746236 |
| prenatal records | 0.716828 |
| folic acid supplementation | 0.930255 |
| assistive technology | 0.700842 |
| control subjects | 0.776744 |
| high-risk pregnancies | 0.764751 |
| MMWR HTML versions | 0.75866 |
| U.S. Department | 0.744573 |
| neural tube defect | 0.764843 |
| case-control study | 0.698493 |
| electronic PDF version | 0.757174 |
| prenatal clinics | 0.707902 |
| Yakima Health District | 0.780519 |
| anencephaly rate | 0.721765 |
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| vital statistics reports | 0.767925 |
| three-county area | 0.784954 |
| Benton-Franklin Health District | 0.789373 |
| routine prenatal care | 0.78077 |
| new NTD cases | 0.780707 |
| control subject pregnancies | 0.8388 |
| local hospital | 0.702168 |
| subject line | 0.702968 |
| anencephaly births | 0.781471 |
| hospital discharge records | 0.781775 |
| genetic birth defect | 0.775229 |
| prenatal residence | 0.703479 |
| Patrick Vander Kelen | 0.767801 |
| birth defects | 0.831462 |
| pregnancy health conditions | 0.792501 |
| Washington State Department | 0.810254 |
| health-care provider | 0.701981 |
| live births | 0.935341 |
| CDC Experience Fellow | 0.780024 |
| original paper copy | 0.751239 |
| private well-water supply | 0.763306 |
| statistically significant differences | 0.753903 |
| perinatology office records | 0.78689 |
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Centers for Disease Control and Prevention |
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Breast Cancer Risk Factors |
Research has found several risk factors that may increase your chances of getting breast cancer. |
| oral contraceptives | 0.334249 |
| estrogen hormones | 0.34201 |
| Genetic mutations | 0.338345 |
| cancer risk factors | 0.391664 |
| certain genes | 0.33635 |
| Family history | 0.3311 |
| breast cancer increases | 0.486925 |
| pregnant women | 0.336471 |
| menopause | 0.326808 |
| non-cancerous breast diseases | 0.465623 |
| certain non-cancerous breast | 0.424609 |
| Hodgkin’s lymphoma | 0.333985 |
| night shift | 0.334214 |
| family members | 0.332623 |
| alcohol | 0.312158 |
| risk factors | 0.439699 |
| normal weight | 0.335935 |
| ovarian cancer | 0.345449 |
| Previous treatment | 0.332629 |
| birth control pills | 0.364676 |
| lobular carcinoma | 0.335041 |
| Studies | 0.315643 |
| Certain forms | 0.334035 |
| oral contraceptive pills | 0.36286 |
| drug diethylstilbestrol | 0.336356 |
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| radiation therapy | 0.357933 |
| fatty tissue | 0.334555 |
| women | 0.437797 |
| woman | 0.328184 |
| United States | 0.335288 |
| atypical hyperplasia | 0.335651 |
| full-term pregnancy | 0.335777 |
| life | 0.314346 |
| breast cancers | 0.44684 |
| longer time | 0.333957 |
| dense breasts | 0.41145 |
| Older women | 0.337961 |
| connective tissue | 0.334932 |
| higher risk | 0.476833 |
| breast cancer risk | 0.52006 |
| breast cancer | 0.94816 |
| Early menstrual period | 0.36849 |
| genetic changes | 0.335256 |
| first-degree male | 0.332778 |
| DES | 0.312021 |
| combination hormone therapy | 0.36108 |
| risk | 0.605318 |
| Personal history | 0.367436 |
| age | 0.350541 |
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Centers for Disease Control and Prevention |
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Norovirus | Resources and References | CDC |
Norovirus resources and reference material |
| Clinical Infectious Diseases | 0.404276 |
| Lopman BA | 0.743246 |
| norovirus infection | 0.3781 |
| norovirus outbreak | 0.421538 |
| pediatric norovirus cases | 0.378846 |
| Foodborne Outbreak Online | 0.365202 |
| norovirus disease | 0.397441 |
| Acute gastroenteritis surveillance | 0.380522 |
| emergent norovirus variant | 0.373857 |
| Emerg Infect Dis. | 0.769156 |
| IDEIA Norovirus assay | 0.372907 |
| Norovirus Illness | 0.368374 |
| norovirus disease burden | 0.385985 |
| surveillance network | 0.363873 |
| norovirus gastroenteritis outbreaks | 0.469265 |
| duty United States | 0.368787 |
| Emerg Infect Dis.2013 | 0.394713 |
| Parashar UD | 0.853737 |
| Genotype GI.6 norovirus | 0.377847 |
| Clin Infect Dis. | 0.762 |
| severe acute gastroenteritis | 0.379956 |
| Infect Dis. | 0.874516 |
| Norovirus Outbreak Management | 0.404736 |
| Infectious Diseases | 0.411903 |
| Hall AJ | 0.949101 |
|
| systematic literature review | 0.364177 |
| norovirus transmission | 0.362671 |
| norovirus outbreaks | 0.436921 |
| United States | 0.645244 |
| norovirus activity | 0.360422 |
| norovirus-associated acute gastroenteritis | 0.383853 |
| Payne DC | 0.383302 |
| plos | 0.37682 |
| Norovirus surveillance | 0.364694 |
| acute gastroenteritis | 0.47359 |
| Certain Norovirus Genotypes | 0.378748 |
| Infect Control. | 0.365764 |
| GII.4 norovirus | 0.357956 |
| varied global burden | 0.38764 |
| Healthcare Settings | 0.359199 |
| norovirus outbreaks activity | 0.388787 |
| systematic review | 0.360676 |
| MMWR Surveillance Summaries | 0.364126 |
| gastroenteritis hospital | 0.360437 |
| Norovirus Outbreak Control | 0.408109 |
| et al | 0.862045 |
| Norovirus disease surveillance | 0.386937 |
| GII.4 Sydney norovirus | 0.37901 |
| human norovirus | 0.357194 |
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For General Healthcare Settings in West Africa: CaseDefinitions for Evaluating Suspected Ebola Patients | EbolaHemorrhagic Fever | CDC |
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| case definitions | 0.55446 |
| infection | 0.325392 |
| sudden onset | 0.435786 |
| Ebola care centers | 0.647942 |
| patients | 0.38364 |
| PUIs | 0.357548 |
| ebola virus disease | 0.879428 |
| ETUs | 0.322359 |
| ECCs | 0.322266 |
| general healthcare settings | 0.99042 |
| confirmed EVD | 0.429093 |
|
| widespread Ebola transmission | 0.665585 |
| Ebola treatment units | 0.643196 |
| additional guidance | 0.425943 |
| following symptoms | 0.418149 |
| healthcare workers | 0.640859 |
| high fever | 0.42172 |
| infections | 0.330499 |
| Case Definition | 0.415475 |
| main treatment area | 0.500138 |
| West African countries | 0.54218 |
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| 12400 |
Centers for Disease Control and Prevention |
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Low Sodium Quick Tips (570W x 363H) |
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CLICK HERE |