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Centers for Disease Control and Prevention |
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Child Development, Young Teens (12-14 years old) - NCBDDD |
This is a time of many physical, mental, emotional, and social changes. Hormones change as puberty begins. Most boys grow facial and pubic hair and their voices deepen. |
| CDC | 0.580338 |
| challenging school work | 0.36591 |
| mental health | 0.540474 |
| age group | 0.376396 |
| Highway Traffic Safety | 0.768523 |
| young adulthood | 0.518666 |
| Blocks help parents | 0.36685 |
| Patient/parent education handouts | 0.794797 |
| Time Parenting | 0.499035 |
| Act Early. | 0.490987 |
| U.S. Department | 0.533664 |
| child immunization schedule | 0.36985 |
| children | 0.801545 |
| healthy lifestyle choices | 0.488476 |
| young children | 0.478205 |
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| substance abuse | 0.46284 |
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| National Institute | 0.405784 |
| possible developmental delays | 0.480422 |
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| fitness—using kid-friendly lingo | 0.465791 |
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| site | 0.397804 |
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| child | 0.680539 |
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Centers for Disease Control and Prevention |
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CDC - Social Media Tools for Consumers and Partners - Badges |
Resources for building campaigns and programs. Tips to help analyze and segment audiences, choose appropriate channels and tools, and evaluate messages or campaign success. |
| Centers | 0.244222 |
| reports | 0.242892 |
| health storylines | 0.49387 |
| Health Literacy | 0.659069 |
| health communication community | 0.71259 |
| journalists | 0.256791 |
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| Science Digest | 0.471602 |
| Prevention | 0.244087 |
| Disease Control | 0.47272 |
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| social marketing campaigns | 0.788292 |
| place | 0.246861 |
| goals | 0.243683 |
| audience | 0.250691 |
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| particular relevance | 0.478014 |
| CDC Action Plan | 0.876197 |
| resources | 0.290594 |
| easy access | 0.466022 |
| CDC Clear Communication | 0.925107 |
| efforts | 0.242255 |
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| messages | 0.24714 |
| programs | 0.251267 |
| National Action Plan | 0.684188 |
| articles | 0.242947 |
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| public communication | 0.484007 |
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Centers for Disease Control and Prevention |
Html |
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Lyme Disease - Health Communication |
Lyme Disease - Gateway to Health Communication - CDC |
| neurological abnormalities | 0.376609 |
| Lyme disease | 0.909718 |
| Lyme bacteria | 0.447152 |
| health care provider | 0.552505 |
| leaf litter | 0.443123 |
| stiff neck | 0.377547 |
| preventive antibiotics | 0.377409 |
| preventable disease | 0.39945 |
| bacteria transmission | 0.37614 |
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| overgrown grass | 0.374392 |
| health care providers | 0.424537 |
| low-lying vegetation | 0.374508 |
| Borrelia burgdorferi | 0.392624 |
| infective tick bites | 0.455382 |
| Early treatment | 0.370627 |
| classic infection | 0.373937 |
| white-footed mice | 0.386093 |
| northern Pacific coast | 0.440696 |
| highest risk | 0.374856 |
| upper midwestern states | 0.436023 |
| small mammals | 0.382224 |
| frequent sites | 0.375786 |
| insect repellant | 0.37174 |
| shady environments | 0.374231 |
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| United States | 0.382268 |
| common vector-borne disease | 0.480212 |
| early stages | 0.435283 |
| endemic areas | 0.372083 |
| bacterial disease | 0.390298 |
| permethrin compound | 0.376874 |
| wooded areas | 0.37908 |
| muscle aches | 0.381225 |
| Lyme disease bacteria | 0.57107 |
| east coast family | 0.423642 |
| treatment failures | 0.373115 |
| Higher risk areas | 0.442497 |
| initial infection | 0.38137 |
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| general tiredness | 0.379399 |
| early infection | 0.376214 |
| severe manifestations | 0.375068 |
| joint pain | 0.375763 |
| people | 0.455156 |
| infected ticks | 0.419622 |
| recreation activities | 0.373607 |
| light colored clothing | 0.431957 |
| tick population | 0.39076 |
| cardiac problems | 0.376908 |
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Centers for Disease Control and Prevention |
Html |
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Vaccines: Mumps Vaccination |
Mumps vaccine info for parents, public, and healthcare professionals |
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CLICK HERE |
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Centers for Disease Control and Prevention |
Html |
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Cervical Cancer Rates by Race and Ethnicity |
Cervical cancer incidence and mortality rates by race and ethnicity. |
| numbers | 0.421228 |
| invasive cancer sites | 0.598755 |
| NVSS | 0.424124 |
| cancer excludes basal | 0.603825 |
| genital organs | 0.500593 |
| number | 0.463046 |
| shows | 0.46358 |
| ethnic populations | 0.601836 |
| Hispanic women | 0.526669 |
| A/PI | 0.419421 |
| Indian/Alaska Native women | 0.597691 |
| registry-specific data quality | 0.585333 |
| highest rate | 0.519055 |
| Hispanic origin | 0.601906 |
| National Vital Statistics | 0.574286 |
| Behavior recode | 0.508481 |
| National Program | 0.502499 |
| incidence rate | 0.639841 |
| cervical cancer | 0.920797 |
| age groups | 0.601885 |
| graph | 0.470666 |
| Census P25–1130 | 0.604088 |
| population coverage | 0.602983 |
| data quality | 0.590945 |
| persons | 0.477805 |
|
| situ cancers | 0.502546 |
| death rates | 0.658072 |
| black women | 0.500994 |
| cervical cancer incidence | 0.690528 |
| U.S. standard population | 0.7643 |
| AI/AN | 0.41938 |
| ethnicity | 0.484815 |
| 100,000 | 0.462855 |
| skin | 0.43263 |
| USCS technical notes | 0.938698 |
| data quality criteria | 0.58474 |
| cancer registries | 0.606121 |
| potential differences | 0.596273 |
| Asian/Pacific Islander | 0.633398 |
| †Race categories | 0.599682 |
| *Rates | 0.437861 |
| National Cancer Institute | 0.607294 |
| caution | 0.509713 |
| disease | 0.421074 |
| urinary bladder | 0.501382 |
| End Results program | 0.595054 |
| squamous cell carcinomas | 0.597043 |
| U.S. population | 0.59581 |
| American Indian/Alaska Native | 0.794812 |
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Centers for Disease Control and Prevention |
Html |
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CDC - Home - Tribal Support |
CDC - Home - Tribal Support |
| CDC | 0.743278 |
| primary link | 0.359705 |
| United States | 0.337712 |
| CDC leaders | 0.601026 |
| Funding Resources | 0.366332 |
| AI/AN tribes | 0.375245 |
| CDC’s Office | 0.662599 |
| tribal-serving organizations | 0.573488 |
| agency programs | 0.338786 |
| tribal sovereignty | 0.3802 |
| principal point | 0.336017 |
| public health services | 0.559267 |
| Toxic Substance | 0.359856 |
| Tribal Support Unit | 0.964503 |
|
| public health | 0.814401 |
| Native populations | 0.343078 |
| principal advisor | 0.344465 |
| government-to-government basis | 0.330781 |
| CDC Calls | 0.715616 |
| tribal communities | 0.354966 |
| Territorial Support | 0.37039 |
| tribal health issues | 0.561829 |
| CDC/ATSDR policy | 0.346793 |
| activities | 0.210708 |
| Health Success Stories | 0.628279 |
| American Indian/Alaska Native | 0.597674 |
| tribal governments | 0.888659 |
| Disease Registry | 0.358345 |
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| 12634 |
Centers for Disease Control and Prevention |
Video |
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Director's Briefing: CRE Infections and Antibiotic Resistance |
In this Director's Briefing video, CDC Director Dr. Tom Frieden talks about drug-resistant bacteria called CRE. These bacteria pose a triple-threat: especially deadly, outsmarting our best antibiotics, and easily transfer their resistance to other germs. Patients are left with extremely limited, and in some cases, no treatment options. This Vital Signs (www.cdc.gov/vitalsigns) reports that CRE are spreading in U.S. medical facilities. More normal bacteria are becoming highly-resistant CRE. These bacteria could be the beginning of the end of antibiotics, and the entire healthcare community must act now to stop them.
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=5fac59254239fa5599f8fd0fd48230ed20130304094025116 |
| Director | 0.334166 |
| Antibiotic Resistance | 0.814777 |
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Centers for Disease Control and Prevention |
Html |
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Revised Device Labeling for the Cepheid Xpert MTB/RIF Assayfor Detecting Mycobacterium tuberculosis |
Division of Microbiology Devices, Office of In Vitro Diagnostics and Radiological Health, Center for Devices and Radiological Health, Food and Drug Administration. |
| acid-fast sputum smears | 0.415593 |
| United States | 0.385381 |
| U.S. Government Printing | 0.347754 |
| original MMWR paper | 0.346314 |
| Human Services | 0.349106 |
| serial negative Xpert | 0.433423 |
| Drug Administration | 0.331017 |
| multicenter international study | 0.357985 |
| previous related MMWR | 0.350136 |
| U.S. Department | 0.348972 |
| MMWR HTML versions | 0.346945 |
| pulmonary tuberculosis | 0.456168 |
| MTB/RIF Assay result | 0.438688 |
| acid-fast stained sputum | 0.364046 |
| acid amplification testing | 0.347895 |
| smear–positive pulmonary tuberculosis | 0.371307 |
| airborne infection isolation | 0.354189 |
| electronic PDF version | 0.344507 |
| serial Xpert MTB/RIF | 0.442518 |
| culture-confirmed pulmonary tuberculosis | 0.371717 |
| additional information | 0.350788 |
| sputum specimens | 0.464617 |
| single negative Xpert | 0.427711 |
| infection control practices | 0.349203 |
|
| Xpert MTB/RIF Assay | 0.928368 |
| acid-fast bacilli | 0.334568 |
| serial collection | 0.332584 |
| Mycobacterium tuberculosis complex | 0.369032 |
| study ACTG A5295/TBTC | 0.347982 |
| MTB/RIF Assay performance | 0.403115 |
| fluorescent-stained acid-fast sputum | 0.36428 |
| ACTG A5295/TBTC | 0.351345 |
| nontuberculosis mycobacterial disease | 0.351308 |
| AFB smear | 0.366168 |
| continued AII | 0.387567 |
| single Xpert MTB/RIF | 0.436255 |
| serial sputum specimens | 0.367547 |
| negative Xpert MTB/RIF | 0.557283 |
| product labeling | 0.351378 |
| negative acid-fast sputum | 0.376729 |
| original paper copy | 0.344863 |
| human immunodeficiency virus | 0.349309 |
| smear–positive/MTBC culture-positive patients | 0.356557 |
| Concomitant acid-fast microscopy | 0.351002 |
| specific clinical circumstances | 0.350533 |
| independent FDA analysis | 0.346885 |
| MTB/RIF Assay results | 0.583639 |
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| 13069 |
Centers for Disease Control and Prevention |
Video |
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Screening for Colorectal Cancer: Optimizing Quality (CME). Primary Care Version Part 3 |
Part 3 of the Primary Care Version CME describes the role of the primary care provider in delivering high-quality colonoscopy, such as pre-procedure risk assessment, safety issues to report to the endoscopist, guidance on bowel preparation and sedation, interpreting the endoscopy report, appropriate follow-up for incomplete exams, and questions to ask the endoscopist to be sure he or she is providing high-quality exams. It is the last of three parts of a continuing education activity that provides guidance and tools for clinicians on the optimal ways to implement screening for colorectal cancer to help ensure that patients receive maximum benefit.
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://www.cdc.gov/cancer/videos/colorectal/quality/Primary_Care3/CRC_Screening_Optimizing_Quality_Primary_Care3_256k.mp4 |
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CLICK HERE |
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Centers for Disease Control and Prevention |
Html |
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Getting Enough Sleep? | CDC Features |
35% of U.S. adults do not get enough sleep. Not getting enough sleep continues to be a problem in the U.S. |
| good health.1 | 0.3696 |
| large number | 0.365369 |
| sleep health | 0.663581 |
| Risk Factor Surveillance | 0.520825 |
| professional sleep societies | 0.732075 |
| good decisions | 0.366367 |
| cardiometabolic risk factors | 0.413809 |
| evening shift | 0.39429 |
| Altevogt BM | 0.361391 |
| 10-day sleep journal | 0.702991 |
| night shift | 0.402895 |
| Perlis ML | 0.362276 |
| National Academies Press | 0.408286 |
| poor mental health | 0.425073 |
| adults age | 0.371204 |
| sleep problems | 0.667511 |
| lighter blue states | 0.421757 |
| Colten HR | 0.363378 |
| lower percentage | 0.364444 |
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| shift workers | 0.397152 |
| Fall asleep | 0.362032 |
| Sleep Research Society | 0.683213 |
| Bliwise DL | 0.361653 |
| Behavioral Risk Factor | 0.521202 |
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| Habitual sleep duration | 0.695658 |
| Sleep Deprivation | 0.638952 |
| healthy adults | 0.369747 |
| darker blue states | 0.422946 |
| Appalachian Mountains | 0.361882 |
| sleep | 0.928554 |
| best health | 0.370649 |
| 24-hour period | 0.3649 |
| practice good sleep | 0.726318 |
| heart disease | 0.367316 |
| southeastern U.S. | 0.362234 |
| early death.2-4 | 0.367172 |
| 50 states | 0.369882 |
| chronic diseases | 0.420163 |
| U.S. adults | 0.438744 |
| Unmet Public Health | 0.415575 |
| Badr MS | 0.364129 |
| sleep disorder | 0.640314 |
| Great Plains states | 0.419393 |
| healthcare provider | 0.36469 |
| high blood pressure | 0.423925 |
| greater percentage | 0.367949 |
| Sleep Medicine | 0.698073 |
| motor vehicle crashes | 0.423523 |
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