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Centers for Disease Control and Prevention |
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MMWR News Synopsis: February 6, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| North Carolina | 0.585734 |
| supplementary immunization activities | 0.580824 |
| zoster vaccination | 0.55245 |
| New analysis | 0.518774 |
| HIV-infected persons | 0.555345 |
| critical care | 0.545275 |
| percent decrease worldwide | 0.685064 |
| National Health Interview | 0.595386 |
| acellular pertussis vaccination | 0.640198 |
| vaccination coverage | 0.660018 |
| viral suppression | 0.594129 |
| measles elimination goals | 0.659177 |
| HIV care continuum | 0.693503 |
| measles mortality | 0.639408 |
| vaccination rates | 0.55466 |
| National Center | 0.622816 |
| TB Prevention | 0.632513 |
| World Health Organization | 0.582468 |
| equivalent administrative unit | 0.569169 |
| partner services | 0.828919 |
| HIV-infected partners | 0.566811 |
| HIV-infected African Americans | 0.699838 |
| Viral Hepatitis | 0.627361 |
| lower levels | 0.586577 |
|
| CDC Media Relations | 0.774307 |
| Medical Monitoring Project | 0.60783 |
| routinely recommended vaccines | 0.623567 |
| African Americans | 0.818167 |
| National HIV Surveillance | 0.672936 |
| African American men | 0.614389 |
| papillomavirus vaccination coverage | 0.65088 |
| CDC data | 0.531421 |
| HIV risk group | 0.675914 |
| annual measles deaths | 0.665052 |
| African American MSM | 0.94035 |
| MCV coverage worldwide | 0.624545 |
| secondary health consequences | 0.585228 |
| percent reduction | 0.590963 |
| annual measles incidence | 0.783537 |
| medical care | 0.525808 |
| World Health Assembly | 0.585052 |
| Adult vaccination coverage | 0.656607 |
| percent decline | 0.597252 |
| care. Partner services | 0.604192 |
| partner services study | 0.609178 |
| routinely recommended adult | 0.596858 |
| routine MCV coverage | 0.747435 |
| life-threatening infectious diseases | 0.580716 |
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Centers for Disease Control and Prevention |
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MMWR News Summary: September 1, 2011 |
MMWR News Summary: August 4, 2011 |
| Vaccination coverage | 0.813274 |
| United States | 0.625188 |
| vaccine-preventable disease | 0.536369 |
| white children. | 0.517617 |
| pneumococcal disease | 0.519717 |
| percent | 0.909651 |
| human rabies | 0.651414 |
| CDC analysis | 0.569927 |
| Electronic Media | 0.89615 |
| B. Vaccination coverage | 0.682146 |
| thorough wound cleaning | 0.605615 |
| vaccination levels | 0.563388 |
| Health-care providers | 0.552167 |
| antibiotic resistance | 0.605178 |
| antibiotic therapy. Antibiotic | 0.774079 |
| rabies virus exposure | 0.685931 |
| National Hospital Discharge | 0.607937 |
| in-hospital newborn male | 0.602928 |
| independent data sources | 0.604965 |
| antibiotic prescriptions | 0.598399 |
| post exposure | 0.529207 |
| vaccination coverage levels | 0.679777 |
| National Immunization Survey | 0.635953 |
|
| National Center | 0.51525 |
| racial/ethnic groups | 0.517848 |
| health-care provider education | 0.671688 |
| routine vaccines | 0.532862 |
| personal protective equipment | 0.596664 |
| treatment failures | 0.531834 |
| important steps | 0.517467 |
| U.S. toddlers | 0.527665 |
| office visits | 0.52123 |
| percent decrease | 0.844515 |
| Continued public education | 0.60237 |
| public health officials | 0.599494 |
| recent increases | 0.517078 |
| previous 10-year period | 0.608308 |
| CDC Division | 0.946088 |
| vaccine preventable diseases | 0.623489 |
| Antibiotics Work campaign | 0.63394 |
| upper respiratory infections | 0.633885 |
| unexplained progressive encephalitis | 0.609353 |
| minority children | 0.521218 |
| infectious body fluids | 0.594997 |
| health-care costs | 0.574472 |
| vaccine-preventable diseases | 0.541454 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0112 |
Volumen 10 — el 17 de enero de 2013. |
| Benita J | 0.620772 |
| O’Colmain BJ | 0.602095 |
| Brady TJ | 0.634201 |
| Disease Self-Management Program | 0.823204 |
| Marnie House | 0.612997 |
| enfermedades crónicas teresa | 0.923725 |
| Doryn Chervin | 0.646766 |
| Danielle Beauchesne | 0.605367 |
| Health Behaviors | 0.595787 |
| Greenberg M | 0.62204 |
|
| Daniels B | 0.618115 |
| Healthcare Utilization Outcomes | 0.84251 |
| Brandy Daniels | 0.643556 |
| Michael Greenberg | 0.608129 |
| Murphy L | 0.608349 |
| Salud Pública | 0.590785 |
| Louise Murphy | 0.626043 |
| Beauchesne D | 0.593767 |
| Health Status | 0.592608 |
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Centers for Disease Control and Prevention |
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Motor Vehicle Traffic-Related Pedestrian Deaths - UnitedStates, 2001-2010 |
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. |
| highest death rates | 0.342213 |
| certain racial/ethnic populations | 0.200273 |
| higher traffic-related pedestrian | 0.201497 |
| traffic-related pedestrian death | 0.455119 |
| pedestrian death rates | 0.773984 |
| large central metro | 0.356278 |
| age group | 0.23542 |
| highest traffic-related pedestrian | 0.205346 |
| central metro areas | 0.270221 |
| racial/ethnic populations | 0.273021 |
| motor vehicle | 0.267032 |
| age groups | 0.259856 |
|
| lowest pedestrian death | 0.222075 |
| vehicle traffic-related pedestrian | 0.269926 |
| highest pedestrian death | 0.228101 |
| age-adjusted traffic-related pedestrian | 0.20455 |
| higher death rates | 0.222297 |
| older adults | 0.215792 |
| death rates | 0.902765 |
| pedestrian deaths | 0.284077 |
| pedestrian death rate | 0.282834 |
| traffic-related pedestrian deaths | 0.220609 |
| overall pedestrian death | 0.253501 |
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Centers for Disease Control and Prevention |
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La historia de Shawn - Historias de la vida real - Consejos de exfumadores |
La historia de Shawn, un exfumador que tenía cáncer de garganta, es parte de la campaña Consejos de exfumadores de los CDC. |
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Centers for Disease Control and Prevention |
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Vaccines: VPD-VAC/Tetanus/main page |
Tetanus (Lockjaw) vaccine info for parents, public, and healthcare professionals |
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Centers for Disease Control and Prevention |
Html |
en |
Five Minutes for Health | CDC Features |
Take steps in just minutes to maintain or improve your health |
| STD | 0.532262 |
| heart attack | 0.648998 |
| death | 0.526334 |
| micrograms | 0.523873 |
| foods | 0.523779 |
| United States | 0.788134 |
| health care provider | 0.768908 |
| slightly cloudy | 0.661886 |
| long way | 0.666121 |
| SPF | 0.538735 |
| cause | 0.524463 |
| appointment | 0.52727 |
| transmitted diseases | 0.647147 |
| life | 0.526735 |
| tips | 0.524851 |
| Skin cancer | 0.642448 |
| number | 0.527428 |
| signs | 0.526699 |
| screenings | 0.53062 |
| Heart disease | 0.650875 |
| KB | 0.532326 |
| things | 0.552989 |
|
| certain birth defects | 0.90463 |
| killer | 0.528632 |
| folic acid | 0.984678 |
| good health | 0.661033 |
| pregnancy | 0.547236 |
| Regular check-ups | 0.68054 |
| spine | 0.525552 |
| Hepatitis testing site | 0.760002 |
| infertility | 0.524317 |
| stroke | 0.525496 |
| vitamin | 0.564354 |
| symptoms | 0.552732 |
| broad spectrum sunscreen | 0.778697 |
| exams | 0.526513 |
| HIV | 0.524746 |
| STDs | 0.534858 |
| common cancers | 0.652375 |
| Schedule | 0.552409 |
| small steps | 0.641404 |
| long-term consequences | 0.644012 |
| women | 0.680507 |
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Centers for Disease Control and Prevention |
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Do you think about air quality? | CDC Features |
Do you think about air quality? If not, today’s the day to start. What can you do? Use the Air Quality Index (AQI) to help plan your outdoor activities. |
| heart attacks | 0.341712 |
| death | 0.225682 |
| high levels | 0.360444 |
| run | 0.231655 |
| matter | 0.226463 |
| Code Orange | 0.599097 |
| free e-mail tools | 0.495976 |
| U.S. | 0.227529 |
| heart disease | 0.340286 |
| Air Quality Index | 0.497263 |
| ozone level | 0.393937 |
| AQI | 0.9257 |
| sensitive groups | 0.359895 |
| better time | 0.358206 |
| place | 0.227836 |
| air quality | 0.499917 |
| apps | 0.23471 |
|
| major air pollutants | 0.490146 |
| strokes | 0.232066 |
| particle pollution | 0.775947 |
| ozone levels | 0.383565 |
| Americans | 0.226162 |
| Pay attention | 0.367425 |
| health | 0.257206 |
| local TV weather | 0.497102 |
| people | 0.225663 |
| plans—use | 0.227943 |
| heavier work | 0.361339 |
| Web | 0.228731 |
| treadmill indoors | 0.3647 |
| air pollution | 0.432427 |
| garden | 0.225895 |
| Environmental Protection Agency | 0.484364 |
| travel | 0.226891 |
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Centers for Disease Control and Prevention |
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en |
Relationship Between Abuse and Neglect in Childhood and Diabetes in Adulthood: Differential Effects By Sex, National Longitudinal Study of Adolescent Health |
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. |
| associations | 0.346057 |
| blood glucose | 0.39282 |
| child maltreatment events | 0.312529 |
| emotional abuse | 0.498147 |
| Washington University Center | 0.305711 |
| data | 0.321719 |
| child maltreatment variables | 0.40695 |
| blood glucose levels | 0.304444 |
| childhood maltreatment | 0.542524 |
| National Longitudinal Study | 0.304185 |
| Childhood physical abuse | 0.298924 |
| Add Health | 0.615095 |
| 3-category diabetes status | 0.334854 |
| co-occurring physical abuse | 0.290289 |
| sexual abuse data | 0.299985 |
| wave | 0.35761 |
| self-reported child abuse | 0.306098 |
| Washington University | 0.367775 |
| Health child maltreatment | 0.326398 |
| diabetes type | 0.305783 |
| childhood maltreatment incidents | 0.326095 |
| childhood sexual abuse | 0.460725 |
| BMI category | 0.396506 |
| nationally representative sample | 0.325712 |
|
| results | 0.285466 |
| obesity | 0.347434 |
| Add Health data | 0.303169 |
| neglect | 0.363397 |
| physical abuse | 0.4144 |
| recurrent sexual abuse | 0.334568 |
| child abuse | 0.38128 |
| body mass index | 0.357148 |
| Diabetes mellitus | 0.329837 |
| officially confirmed maltreatment | 0.311403 |
| 3-level diabetes status | 0.332392 |
| childhood financial insecurity | 0.302143 |
| previous Add Health | 0.297629 |
| sexual abuse | 0.99726 |
| nonfasting blood glucose | 0.324597 |
| child maltreatment | 0.799256 |
| Diabetes Translation Research | 0.378242 |
| Add Health Wave | 0.32102 |
| young adults | 0.310898 |
| Diabetes Translational Research | 0.327925 |
| American Diabetes Association | 0.379123 |
| diabetes | 0.782672 |
| diabetes status | 0.369254 |
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Centers for Disease Control and Prevention |
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CDC's World Health Organization (WHO) Collaborating Center for Surveillance, Epidemiology and Control of Influenza |
Influenza surveillance reports and methods in the United States - CDC |
| potential pandemic viruses | 0.606249 |
| public health interventions | 0.510726 |
| Essential Regulatory Laboratories | 0.504976 |
| reference center | 0.473584 |
| Global Influenza Surveillance | 0.760436 |
| seasonal influenza viruses | 0.77893 |
| Collaborating Center | 0.624017 |
| appropriate viruses | 0.522232 |
| flu vaccines | 0.477122 |
| seasonal influenza vaccines | 0.717407 |
| National Center | 0.46598 |
| Globally coordinated epidemiologic | 0.524294 |
| GISRS network | 0.46555 |
| World Health Organization | 0.524363 |
| influenza pandemic | 0.686045 |
| public health partners | 0.505019 |
| laboratories NICs | 0.481592 |
| Influenza Division | 0.945772 |
| Pandemic Influenza Preparedness | 0.743763 |
| Collaborating Centers | 0.624325 |
| vaccine composition meetings | 0.540174 |
| influenza virus surveillance | 0.759405 |
| pandemic potential | 0.504342 |
| influenza vaccine virus | 0.791873 |
| pandemic preparedness | 0.571456 |
|
| national influenza centers | 0.752049 |
| novel influenza | 0.659757 |
| influenza disease | 0.754103 |
| influenza disease impact | 0.747278 |
| CDC’s Influenza | 0.871867 |
| Collaborating Centers work | 0.562192 |
| virologic surveillance | 0.476813 |
| Center’s Terms | 0.464849 |
| influenza specimens | 0.647536 |
| Center Staff | 0.465879 |
| public health | 0.548908 |
| vaccine virus selection | 0.636858 |
| influenza vaccines | 0.733725 |
| candidate vaccine viruses | 0.663501 |
| largest global resource | 0.507904 |
| Dr. Xiyan Xu | 0.494392 |
| flu viruses | 0.52643 |
| study influenza disease | 0.744373 |
| influenza viruses | 0.818072 |
| health oriented research | 0.504339 |
| year-round surveillance | 0.46546 |
| vaccine manufacturers | 0.534434 |
| following influenza seasons | 0.711643 |
| global preparedness | 0.466533 |
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