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Centers for Disease Control and Prevention |
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2013 Agency Accomplishments | CDC Features |
As 2013 comes to a close, CDC looks back on the top 5 health concerns of the year while preparing for the projected health threats of 2014. Read the whole story: CDC’s 2013: A Year in Review. |
| CDC.gov Current Features | 0.906892 |
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Centers for Disease Control and Prevention |
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Vital Signs: Births to Teens Aged 15-17 Years - UnitedStates, 1991-2012 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| sexually experienced female | 0.510685 |
| effective contraceptive methods | 0.509047 |
| effective reversible methods | 0.492986 |
| never-married female teens | 0.584286 |
| effective method | 0.501551 |
| birth control methods | 0.499938 |
| clinical birth control | 0.620089 |
| birth rate | 0.543616 |
| failure rate | 0.478306 |
| sexually active females | 0.493297 |
| effective reversible contraceptive | 0.482799 |
| younger teens | 0.613531 |
| younger female teens | 0.594497 |
| older teens | 0.519677 |
| National Vital Statistics | 0.487855 |
| births | 0.595097 |
| reproductive health-care services | 0.481111 |
| younger teens exposure | 0.544653 |
| female teens | 0.842644 |
| birth control | 0.824327 |
| active younger teens | 0.53021 |
| prevention opportunities | 0.471641 |
| experienced female teens | 0.610501 |
| teen births | 0.470318 |
| effective methods | 0.501042 |
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| United States | 0.49004 |
| methods | 0.512581 |
| age group | 0.48958 |
| formal sex education | 0.898452 |
| shows birth rates | 0.47649 |
| teens | 0.944778 |
| U.S. teen birth | 0.490337 |
| sexual initiation | 0.482659 |
| sexually active teens | 0.556986 |
| non-Hispanic blacks | 0.504295 |
| Family Growth | 0.473494 |
| non-Hispanic whites | 0.47516 |
| National Survey | 0.470914 |
| active female teens | 0.542513 |
| American Indians/Alaska Natives | 0.581678 |
| sexual health education | 0.491926 |
| teen birth rate | 0.498517 |
| CI | 0.49744 |
| effective birth control | 0.49994 |
| health | 0.496404 |
| birth control services | 0.614749 |
| females teens | 0.510745 |
| New Hampshire | 0.472674 |
| fewer young teens | 0.525227 |
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Centers for Disease Control and Prevention |
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Conjunctivitis: Diagnosis |
Viral conjunctivitis can usually be diagnosed from the typical signs and symptoms. Bacterial conjunctivitis can be diagnosed by a healthcare provider from the typical symptoms. |
| bacterium | 0.499313 |
| allergen | 0.512209 |
| infection | 0.472144 |
| Español | 0.523204 |
| professional diagnose | 0.770208 |
| cause | 0.970959 |
| Page | 0.467042 |
| conjunctivitis | 0.798932 |
| matter | 0.472729 |
| patient history | 0.765722 |
| virus | 0.578176 |
|
| eye | 0.750511 |
| symptoms | 0.721928 |
| doctor | 0.475791 |
| firm diagnosis | 0.725867 |
| infected eye | 0.686666 |
| healthcare provider | 0.691338 |
| examination | 0.481731 |
| eye discharge | 0.686062 |
| Diagnóstico | 0.480698 |
| redness | 0.469674 |
| pink eye | 0.727724 |
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Centers for Disease Control and Prevention |
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Lecciones aprendidas de un esfuerzo de colaboración para mejorar la atención médica de pacientes con diabetes en 17 centros de salud comunitarios, Massachusetts, 2006 |
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| altos directivos | 0.313859 |
| Diabetes Educ | 0.300816 |
| health insurance | 0.301361 |
| health professions education | 0.301058 |
| pacientes pruebas | 0.301817 |
| quality improvement collaboratives | 0.300803 |
| health services research | 0.300999 |
| quality improvement | 0.301991 |
| auxiliares médicos | 0.302084 |
| diabetes fact sheet | 0.301021 |
| Kirchhoff AC | 0.300998 |
| health insurance coverage | 0.300962 |
| auxiliar médico | 0.301137 |
| Chin MH | 0.302082 |
| Improving diabetes care | 0.301256 |
| Massachusetts Health Insurance | 0.301233 |
| Ambul Care Manage | 0.300861 |
| Estados Unidos | 0.300943 |
| Rimington A | 0.300948 |
| Med Care | 0.301302 |
| salud comunitarios participantes | 0.31046 |
| Colaboración Nacional | 0.301724 |
| colaboración quizás | 0.301529 |
| ciclos phra | 0.313567 |
| Midwest community health | 0.301004 |
|
| autocontrol gracias | 0.300914 |
| Keegan T | 0.300966 |
| Sustaining quality improvement | 0.300719 |
| Jt Comm | 0.301069 |
| chronic care model | 0.302117 |
| salud comunitarios oportunidades | 0.303642 |
| elementos facilitadores | 0.302488 |
| Guillen M | 0.300998 |
| diabetes care | 0.303938 |
| Salud Pública | 0.302623 |
| sustaining diabetes care | 0.301286 |
| Massachusetts Medical School | 0.300875 |
| Health Resources | 0.300739 |
| futuros esfuerzos | 0.302729 |
| acuerdo intercodificador | 0.302736 |
| health disparities collaboratives | 0.306623 |
| Drum ML | 0.301012 |
| O’Malley AJ | 0.301017 |
| rural primary care | 0.300813 |
| Massachusetts League | 0.30083 |
| diabetes health disparities | 0.301425 |
| community health centers | 0.314248 |
| mejores resultados | 0.302075 |
| salud comunitarios | 0.999464 |
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Centers for Disease Control and Prevention |
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Data and Statistics | Down Syndrome |
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| red blood cells | 0.548858 |
| younger mothers | 0.452874 |
| American Academy | 0.445819 |
| United States | 0.502279 |
| health care information | 0.482907 |
| financial problems | 0.446697 |
| Iron deficiency anemia | 0.481074 |
| low birth weight. | 0.491988 |
| Pediatrics Health Supervision | 0.480977 |
| African-American infants | 0.467686 |
| average medical care | 0.482847 |
| babies | 0.535129 |
| general population | 0.446934 |
| family member | 0.446389 |
| Obstructive sleep apnea | 0.484366 |
| life | 0.477869 |
| lower chance | 0.447312 |
| Eye issues | 0.446191 |
| time period | 0.448188 |
| certain group | 0.451778 |
| syndrome | 0.782493 |
| children | 0.531651 |
| Hirschsprung disease | 0.445934 |
| total number | 0.452109 |
|
| private insurance | 0.445169 |
| Ear infections | 0.446291 |
| breathing equipment | 0.444877 |
| health care | 0.539715 |
| Read summary | 0.968321 |
| infants | 0.508547 |
| wide variety | 0.448312 |
| Intestinal blockage | 0.448478 |
| heart defect | 0.580379 |
| health care costs | 0.482209 |
| white infants | 0.468812 |
| congenital heart defect | 0.572318 |
| life expectancy | 0.453354 |
| early childhood | 0.444941 |
| syndrome increases | 0.482816 |
| live births | 0.452782 |
| thigh bone | 0.446483 |
| common chromosomal disorder | 0.505444 |
| healthcare provider | 0.448036 |
| normal birth weight | 0.490207 |
| Older mothers | 0.450332 |
| age increases | 0.454929 |
| Eye diseases | 0.446322 |
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Preventing Chronic Disease | Text Messaging to Motivate Exercise Among Latino Adults at Risk for Vascular Disease: A Pilot Study, 2013 - CDC |
In 2013, we administered a 15-item survey to determine the extent of text message usage among Latino adults in Kansas; for a subset of the survey participants, we also conducted a 6-week pilot trial to determine the effect of text messaging on exercise behaviors. Among the 82 survey participants, 78% had unlimited text messaging. At baseline, all trial participants were at the stage of contemplation; at 6 weeks, one (9%) trial participant remained at the contemplation stage and the other 10 (91%) participants progressed to the action/maintenance/termination stage. Use of text messaging to motivate exercise is feasible and potentially efficacious among Latinos. |
| 15-item survey in-person | 0.407996 |
| 6-week PACE scores | 0.415252 |
| trial participant | 0.372405 |
| atherosclerotic risk factor | 0.408542 |
| Texas Health Science | 0.386092 |
| 6-week pilot trial | 0.435062 |
| atherosclerotic risk factors | 0.691588 |
| pilot trial | 0.542529 |
| Health Promotion Research | 0.38697 |
| unlimited text messaging | 0.527579 |
| text messaging | 0.892701 |
| loss pilot trial | 0.396349 |
| yearly household income | 0.454794 |
| weight loss | 0.419365 |
| action/maintenance/termination stage | 0.402196 |
| Health Interview Survey | 0.397511 |
| Kansas Medical Center | 0.393272 |
| Latino adults | 0.833921 |
| baseline | 0.362362 |
| text messages | 0.53446 |
| Tracie C. Collins | 0.386254 |
| 15-item survey | 0.464529 |
| Exercise Behaviors Questionnaire | 0.409174 |
| Spanish text messages | 0.419183 |
|
| Potential participants | 0.445065 |
| Latinos | 0.404874 |
| trial participants | 0.491101 |
| United States | 0.403812 |
| contemplation stage | 0.444088 |
| text message usage | 0.586322 |
| Human Subjects Committee | 0.399601 |
| postexercise behavior scores | 0.394823 |
| PACE protocol | 0.362087 |
| non-Hispanic whites | 0.448962 |
| participants | 0.741326 |
| recent pilot trial | 0.396521 |
| Wichita State University | 0.391693 |
| Peripheral arterial disease | 0.405052 |
| research assistants | 0.403039 |
| exercise behaviors | 0.420091 |
| systematic review | 0.432053 |
| Spanish-speaking participants | 0.449511 |
| physical activity | 0.922215 |
| leisure-time physical activity | 0.407262 |
| 6-week trial | 0.418451 |
| survey participants | 0.598316 |
| weight loss trial | 0.391911 |
| cellular telephone | 0.446114 |
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Centers for Disease Control and Prevention |
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Director's Briefing: Latest on Flu |
CDC Director Dr. Tom Frieden talks about the latest data on flu, as well as answers some basic questions including how effective is the seasonal flu vaccine and who (and who shouldn't) get the seasonal flu vaccine.
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=e610f3b1323f11238c06432fefcc4b6020130118112817578 |
| Briefing | 0.973311 |
| Director | 0.513875 |
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Centers for Disease Control and Prevention |
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Consumption of Alcoholic Beverages and Liquor Consumption byMichigan High School Students, 2011 |
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. |
| underage drinking | 0.367784 |
| common type | 0.296027 |
| nonbinge drinkers | 0.450782 |
| binge drinkers | 0.537974 |
| binge drinking | 0.658409 |
| type | 0.358121 |
| youth | 0.319692 |
| alcohol advertising | 0.319705 |
| alcohol interventions | 0.292906 |
| Youth Tobacco Survey | 0.312971 |
| alcohol control policies | 0.322056 |
| Alcohol Use Prevention | 0.304563 |
| alcohol taxes | 0.34573 |
| vodka consumption | 0.310819 |
| alcohol | 0.821993 |
| usual type | 0.344157 |
| alcohol tax policies | 0.306052 |
| energy drinks | 0.578748 |
| Michigan high school | 0.60795 |
| higher blood alcohol | 0.311216 |
| alcohol poisoning | 0.303915 |
| current alcohol | 0.303391 |
| significantly higher prevalence | 0.325183 |
| binge drinking episodes | 0.305822 |
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| alcohol information | 0.293726 |
| alcoholic beverage | 0.296623 |
| binge drinking intensity | 0.29686 |
| alcohol marketing | 0.336591 |
| usual liquor type | 0.293426 |
| usual alcohol type | 0.33445 |
| United States | 0.315706 |
| frequent alcohol consumption | 0.352246 |
| alcohol consumption | 0.631784 |
| liquor | 0.487976 |
| usual alcohol | 0.334997 |
| higher alcohol concentration | 0.312283 |
| beverage-specific alcohol consumption | 0.512744 |
| public health | 0.305597 |
| alcohol beverage consumption | 0.365686 |
| alcohol outlet density | 0.304821 |
| high school students | 0.99963 |
| alcohol excise taxes | 0.304661 |
| current drinkers | 0.423195 |
| alcohol consumption patterns | 0.336433 |
| liquor consumption | 0.344962 |
| binge drinking prevalence | 0.329437 |
| alcohol intoxication | 0.30394 |
| excessive alcohol consumption | 0.401394 |
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Adenovirus | Clinical Overview | CDC |
Colorized transmission electron micrograph of adenovirus shown along with clinical identification of adenoviruses. |
| immunologically distinct adenoviruses | 0.918837 |
| respiratory illness | 0.713306 |
| illnesses | 0.392152 |
| objects | 0.335078 |
| Infants | 0.338723 |
| type | 0.333282 |
| frequency | 0.332392 |
| non-enveloped icosohedral viruses | 0.702467 |
| croup | 0.365196 |
| pneumonia | 0.348219 |
| surfaces | 0.338035 |
| immune systems | 0.668444 |
| adenovirus vaccine administration | 0.679708 |
| common disinfectants | 0.512104 |
| adenoviruses | 0.998568 |
| cystitis | 0.348857 |
| doorknobs | 0.363746 |
| acute respiratory illness | 0.668602 |
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| small lakes | 0.497086 |
| types | 0.336025 |
| adenovirus infection | 0.538426 |
| neurological disease | 0.488465 |
| bronchitis | 0.349561 |
| military recruits | 0.485785 |
| conjunctivitis | 0.34996 |
| swimming pools | 0.502904 |
| people | 0.363724 |
| water | 0.335017 |
| double-stranded DNA | 0.516947 |
| gastroenteritis | 0.35389 |
| high risk | 0.482395 |
| ongoing infections | 0.486893 |
| severe illness | 0.510924 |
| intestines | 0.351382 |
| humans | 0.338209 |
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Centers for Disease Control and Prevention |
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Smoking & Tobacco Use | Gay and Bisexual Men's Health | CDC |
Learn more about the harmful effects of smoking, smokeless tobacco, and secondhand smoke. |
| lung diseases | 0.875338 |
| Smokers Campaign | 0.461511 |
| heart attacks | 0.440172 |
| illnesses. People | 0.449035 |
| health threat | 0.490277 |
| chronic obstructive lung | 0.885567 |
| smoking-related illness | 0.556623 |
| general U.S. population | 0.885515 |
| bisexual men | 0.48953 |
| better quality | 0.457434 |
| fewer HIV-related symptoms | 0.832952 |
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| gay men | 0.492848 |
| pneumonia | 0.31634 |
| heart disease | 0.794814 |
| smoking | 0.821629 |
| high risk | 0.485041 |
| cancer | 0.233101 |
| higher rates | 0.924733 |
| past decade | 0.551565 |
| harmful consequences | 0.497243 |
| long-term benefits | 0.496017 |
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