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Centers for Disease Control and Prevention |
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QuickStats: Percentage of Adults Aged ≥18 Years with Hypertension Reporting Treatment* and Control† of Their Condition,§ by Race/Ethnicity — United States, National Health and Nutrition Examination Survey, 2011–2012 |
* Currently taking medication to lower blood pressure, based on affirmative responses to the following questions: "Because of your high blood pressure/hypertension, have you ever been told to take prescribed medicine?" and "Are you now following this advice to take prescribed medicine?" among those with hypertension. |
| mmwrq@cdc.gov. | 0.591242 |
| endorsement | 0.537136 |
| controlled hypertension | 0.743519 |
| Alternate Text | 0.577917 |
| Human Services | 0.652417 |
| assistive technology | 0.594531 |
| systolic blood pressure | 0.789653 |
| U.S. Department | 0.648902 |
| MMWR HTML versions | 0.636471 |
| Sarah Yoon | 0.582183 |
| diastolic blood pressure | 0.789214 |
| electronic PDF version | 0.633627 |
| e-mail | 0.532282 |
| blood pressure | 0.971274 |
| Contact GPO | 0.587059 |
| commercial sources | 0.578256 |
| mm Hg | 0.804469 |
| Steven M. Frenk | 0.653709 |
| PhD | 0.523006 |
| current prices | 0.575287 |
| different race | 0.65885 |
| affirmative responses | 0.587577 |
| original paper copy | 0.635746 |
| difference | 0.528751 |
|
| United States | 0.5811 |
| original MMWR paper | 0.634216 |
| lower blood pressure | 0.804855 |
| MMWR readers | 0.578206 |
| character translation | 0.574952 |
| Tatiana Nwankwo | 0.584451 |
| Persons | 0.515913 |
| Hispanic ethnicity groups | 0.797201 |
| format errors | 0.57321 |
| Non-Hispanic Asian adults | 0.8582 |
| following questions | 0.583718 |
| subject line | 0.593016 |
| Health | 0.526815 |
| typeset documents | 0.576525 |
| trade names | 0.578303 |
| high blood pressure/hypertension | 0.675712 |
| medication | 0.63065 |
| medicine | 0.526483 |
| official text | 0.572856 |
| non-CDC sites | 0.576192 |
| confidence interval | 0.58734 |
| information | 0.515881 |
| electronic conversions | 0.572201 |
| hypertension | 0.820363 |
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Centers for Disease Control and Prevention |
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Advisory Committee on Immunization Practices Recommended Immunization Schedule for Adults Aged 19 Years or Older - United States, 2014 |
Carolyn B. Bridges, MD1, Tamera Coyne-Beasley, MD2, Advisory Committee on Immunization Practices (ACIP)*, ACIP Adult Immunization Work Group (Author affiliations at end of text). |
| North Carolina | 0.5516 |
| current low levels | 0.601357 |
| American Academy | 0.541782 |
| vaccine registries | 0.617143 |
| city immunization programs | 0.557173 |
| vaccination coverage | 0.587251 |
| Vaccine Advisory Committee | 0.693806 |
| Td/Tdap vaccine footnote | 0.689266 |
| adult immunization schedules | 0.640652 |
| pneumococcal conjugate vaccine | 0.661296 |
| influenza vaccine | 0.713585 |
| immunization schedule information | 0.589768 |
| meningococcal vaccine footnote | 0.692719 |
| vaccine 3-dose series | 0.665796 |
| inactivated influenza vaccine | 0.662832 |
| PCV13 vaccine row | 0.641854 |
| prior Hib vaccination | 0.618417 |
| adult immunization schedule | 0.580465 |
| Recommended Immunization Schedule | 0.65524 |
| influenza vaccine footnote | 0.709462 |
| zoster vaccine footnotes | 0.646597 |
| pneumococcal polysaccharide vaccine | 0.66407 |
| Hib vaccine recommendations | 0.772054 |
| pediatric immunization schedule | 0.558669 |
| vaccines | 0.796412 |
|
| immunization schedule | 0.708659 |
| interested health-care providers | 0.533465 |
| adults | 0.552094 |
| Noninfluenza vaccination coverage | 0.529645 |
| polysaccharide quadrivalent vaccines | 0.623733 |
| health-care providers | 0.577416 |
| HPV vaccine | 0.60158 |
| meningococcal vaccines | 0.603184 |
| adult vaccines | 0.646425 |
| Immunization Practices | 0.549934 |
| specific vaccines | 0.618203 |
| Hib infection | 0.532216 |
| American College | 0.619647 |
| immunization information systems | 0.584718 |
| Hib vaccine guidance | 0.727328 |
| Td vaccine | 0.603414 |
| hepatitis B vaccine | 0.656027 |
| Hib vaccine | 0.905602 |
| recombinant influenza vaccine | 0.661172 |
| Work Group | 0.58781 |
| vaccine footnote | 0.751949 |
| health-care provider | 0.534962 |
| ACIP recommendations | 0.714085 |
| vaccine footnotes | 0.649191 |
|
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| 1245 |
Centers for Disease Control and Prevention |
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Notes from the Field: Update: Vitamin B12 Deficiency AmongBhutanese Refugees Resettling in the United States, 2012 |
Kendra Cuffe, MPH1, William Stauffer, MD2, John Painter, DVM1, Sharmila Shetty, MD1, Jessica Montour, MPH3, Weigong Zhou, MD, PhD1 (Author affiliations at end of text). |
| medical screening | 0.571889 |
| high rates | 0.581771 |
| CDC | 0.583775 |
| William Stauffer | 0.588853 |
| deficiency post-implementation | 0.598905 |
| newly arrived refugees | 0.723222 |
| median serum concentration | 0.822712 |
| Minnesota Medical School | 0.625116 |
| Zoonotic Infectious Diseases | 0.625056 |
| routine medical examinations | 0.652077 |
| Jessica Montour | 0.588487 |
| normal range | 0.570475 |
| National Center | 0.569955 |
| improved availability | 0.577164 |
| median age | 0.588966 |
| select domestic refugee | 0.647853 |
| serum samples | 0.642899 |
| John Painter | 0.586468 |
| Nutrition surveys | 0.5746 |
| nutritional counseling | 0.572769 |
| oral vitamin | 0.761797 |
| Sharmila Shetty | 0.592736 |
| serum concentrations | 0.863603 |
| new cases | 0.576018 |
| deficiency rate | 0.601387 |
|
| United States | 0.668295 |
| Kendra Cuffe | 0.660208 |
| domestic refugee health | 0.767456 |
| pg/mL | 0.59704 |
| red meat | 0.574262 |
| improved food supply | 0.63329 |
| dietary practices | 0.576377 |
| Austin-Travis County clinic | 0.642645 |
| neurologic disorders | 0.586374 |
| serum concentration levels | 0.685761 |
| improved access | 0.577829 |
| nutrition advice | 0.639744 |
| rich foods | 0.570164 |
| previously recommended interventions | 0.63796 |
| Author affiliations | 0.582574 |
| anecdotal reports | 0.579702 |
| refugee health programs | 0.767409 |
| serum concentration pre-intervention | 0.689405 |
| deficiency | 0.631033 |
| 3Refugee Health Program | 0.627208 |
| refugee camps | 0.571548 |
| Bhutanese refugees | 0.986718 |
| Weigong Zhou | 0.58733 |
| deficient pre-intervention | 0.593435 |
|
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Centers for Disease Control and Prevention |
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CDC Knowledge to Action Science Clips |
Science Clips |
| Local health authorities | 0.59094 |
| HIV care service | 0.577797 |
| data | 0.614586 |
| emergency department visits | 0.675148 |
| diagnosed HIV infection | 0.580847 |
| inflammatory disease emergency | 0.577256 |
| training programs | 0.619363 |
| children | 0.590831 |
| HIV care continuum | 0.57649 |
| intensive care unit | 0.57559 |
| results | 0.602955 |
| patients | 0.576176 |
| HIV medical care | 0.58871 |
| HIV treatment failure | 0.576666 |
| human parainfluenza virus-1 | 0.598997 |
| emergency response personnel | 0.600339 |
| human parainfluenza virus-4 | 0.576614 |
| human parainfluenza virus-3 | 0.576654 |
| health survey data | 0.584912 |
| total percent change | 0.650815 |
| human immunodeficiency virus | 0.696418 |
| P&S syphilis | 0.588407 |
| health support services | 0.575551 |
| human parainfluenza virus | 0.616931 |
|
| drug resistance | 0.582863 |
| women | 0.595455 |
| Ebola virus disease | 0.594897 |
| treatment | 0.588593 |
| pertussis-positive infants | 0.582492 |
| United States | 0.822497 |
| annual percent change | 0.653347 |
| ED visits | 0.623252 |
| National HIV Surveillance | 0.574502 |
| white non-Hispanic MSM | 0.590558 |
| P&S syphilis diagnosis | 0.587296 |
| public health professionals | 0.584779 |
| public health | 0.622602 |
| human parainfluenza | 0.670524 |
| ACSC ED visits | 0.590244 |
| inflammatory disease diagnoses | 0.577184 |
| pelvic inflammatory disease | 0.907889 |
| inflammatory disease diagnosis | 0.596484 |
| HIV surveillance data | 0.588486 |
| non-US born residents | 0.616211 |
| rectal ct | 0.588077 |
| HIV infection | 0.704845 |
| annual HIV incidence | 0.585483 |
| HIV care services | 0.578849 |
|
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Centers for Disease Control and Prevention |
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Putting physical activity where it fits in the school day: preliminary results of the ABC (Activity Bursts in the Classroom) for Fitness Program |
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| Physical activity levels | 0.50158 |
| attention-deficit hyperactivity disorder | 0.486488 |
| study | 0.527367 |
| elementary school students | 0.505265 |
| school health services | 0.472002 |
| communication arts | 0.475719 |
| classroom-based physical activity | 0.530157 |
| classroom behavior | 0.569012 |
| students | 0.564345 |
| physical fitness measures | 0.533089 |
| control group | 0.663335 |
| physical activity program | 0.586912 |
| Activity Bursts | 0.568932 |
| Prevention Research Center | 0.480809 |
| health outcomes | 0.487814 |
| Independence School District | 0.536834 |
| in-school physical activity | 0.491268 |
| intervention group | 0.586374 |
| abdominal strength | 0.50329 |
| elementary school classroom | 0.483558 |
| school | 0.588758 |
| children | 0.492599 |
| light aerobic activity | 0.477272 |
|
| physical fitness | 0.575546 |
| teaching time | 0.489455 |
| daily physical activity | 0.634396 |
| physical activity programs | 0.530138 |
| upper-body strength | 0.53215 |
| average fitness levels | 0.501667 |
| structured activity bursts | 0.477875 |
| aerobic capacity | 0.482357 |
| structured physical activity | 0.490506 |
| Missouri Physical Fitness | 0.487561 |
| basic activity bursts | 0.490839 |
| Childhood physical activity | 0.488107 |
| physical education teachers | 0.476588 |
| core activity | 0.473198 |
| physical activity | 0.982088 |
| schools | 0.4782 |
| isd progress report | 0.525992 |
| anthropometric measures | 0.480839 |
| Fitness program | 0.516728 |
| School Physical Activity | 0.516392 |
| academic performance | 0.691961 |
| physical education programs | 0.511061 |
| physical activity measures | 0.536646 |
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Centers for Disease Control and Prevention |
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CDC and CPSC Warn of Winter Home Heating Hazards |
Data Resources for the National Center for Environmental Health |
| CDC | 0.541836 |
| water heater | 0.472407 |
| Dr. Howard Frumkin | 0.500145 |
| latest safety standards | 0.478068 |
| water heaters | 0.440198 |
| space heater | 0.701526 |
| poisonous gas | 0.420353 |
| gas space heater | 0.567339 |
| Disease Control | 0.410696 |
| up-to-date safety features | 0.470361 |
| nationally-recognized testing laboratory | 0.470075 |
| Store fireplace ashes | 0.478835 |
| fuel-burning heating systems | 0.524435 |
| National Center | 0.409142 |
| newer safety standards | 0.474915 |
| fireplace damper | 0.414424 |
| open damper | 0.413411 |
| Environmental Health | 0.40927 |
| Prevent Deaths | 0.457563 |
| carbon monoxide | 0.983131 |
| older space heaters | 0.507127 |
| liquid propane gas | 0.483247 |
| CDC website www.cdc.gov | 0.530684 |
| Professional Inspection Urged | 0.514715 |
| Winter Home Heating | 0.559032 |
|
| monoxide poisoning guidelines | 0.631965 |
| coal burning appliances | 0.464999 |
| CPSC Acting Chairman | 0.604295 |
| CPSC Warn | 0.549842 |
| average winter | 0.421697 |
| separate sleeping area | 0.475354 |
| alarm batteries | 0.498283 |
| Hazards Remind Consumers | 0.521028 |
| Seek medical attention | 0.4638 |
| U.S. residents | 0.409601 |
| Consumer Product Safety | 0.514106 |
| Dr. Frumkin | 0.474868 |
| space heaters | 0.663434 |
| winter weather-related power | 0.495752 |
| safety standards | 0.519655 |
| smoke alarms | 0.414051 |
| natural gas | 0.409287 |
| ceramic tile floor | 0.460229 |
| home heating systems | 0.519944 |
| public health problem | 0.490042 |
| current safety standards | 0.476363 |
| CDC estimates | 0.470139 |
| West Nile virus | 0.490829 |
| professional inspection | 0.598283 |
|
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Centers for Disease Control and Prevention |
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Media Relations - MMWR News Synopsis: December 13, 2012 |
CDC Media Relations - MMWR News Synopsis: December 13, 2012 |
| bacterial etiologies | 0.56264 |
| early warning | 0.682192 |
| laboratory personnel | 0.548221 |
| Utah Department | 0.565653 |
| epidemic-prone diseases | 0.647411 |
| strengthening.  DEWS | 0.584799 |
| humanitarian emergencies | 0.567731 |
| existing networks | 0.545436 |
| historic monsoon | 0.550041 |
| Utah Health Sciences | 0.747894 |
| Medical care | 0.566303 |
| effective medication | 0.598926 |
| accidental exposures | 0.579206 |
| prior emergencies | 0.569036 |
| World Health Organization | 0.682352 |
| warning disease surveillance | 0.738828 |
| Public Affairs | 0.576956 |
| disease burden | 0.557326 |
| surveillance results | 0.60459 |
| data quality | 0.682188 |
| Disease Early Warning | 0.680123 |
| poison control center | 0.979032 |
| lay public | 0.550795 |
| limited resources | 0.54721 |
| laboratory surveillance | 0.610798 |
|
| opioid dependence | 0.605609 |
| Japanese encephalitis | 0.556229 |
| key information | 0.54589 |
| VPD surveillance systems | 0.729165 |
| substantial reductions | 0.555637 |
| health information | 0.562384 |
| measles surveillance networks | 0.757869 |
| Electronic Media | 0.690153 |
| good reputation | 0.560405 |
| counsel buprenorphine patients | 0.789078 |
| single exposures | 0.577162 |
| specimen processing | 0.54799 |
| Utah’s Poison | 0.574597 |
| popular medication | 0.600604 |
| future emergencies | 0.57025 |
| health care providers | 0.706676 |
| local poison control | 0.692656 |
| Healthcare professionals | 0.555822 |
| adverse consequences | 0.553388 |
| recurrent challenges | 0.545218 |
| Kathy Wilets | 0.575369 |
| opioid abuse | 0.604719 |
| vast amounts | 0.547033 |
| vaccine-preventable diseases | 0.568362 |
|
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DHDSP Data Trends and Maps Indicator Categorizations'DHDSP'CDC |
DHDSP Data Trends and Maps Help |
| Cardiovascular Diseases | 0.844935 |
| Risk Factors | 0.792209 |
| main categories | 0.521361 |
| following priority areas | 0.905055 |
| ABCS | 0.297158 |
| number | 0.251086 |
| Priority Indicators | 0.941759 |
|
| priority indicator | 0.668559 |
| AHA | 0.288143 |
| Cardiovascular Health Metrics | 0.837426 |
| subcategories | 0.660988 |
| Healthy People | 0.491508 |
| Goals | 0.249955 |
| Risk Factors category | 0.759515 |
|
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| 12686 |
Centers for Disease Control and Prevention |
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Global Disease Detectives |
CDC global health leadership brings the world's leading public health experts to a Guatemala cave, where rabid bats threaten human health. Elsewhere, CDC community workers keep a health watch over Kenya's poor; while in China, CDC scientists protect babies from a mysterious outbreak. These examples of CDC at work in the world help protect America and all from disease threats that respect no borders.
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/cdctv/DiseaseDetectives |
| Global Disease Detectives | 0.934136 |
|
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| 15341 |
Centers for Disease Control and Prevention |
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Clean It Up, Swimmers |
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