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Centers for Disease Control and Prevention |
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National and State Vaccination Coverage Among AdolescentsAged 13-17 Years - United States, 2012 |
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. |
| HPV vaccination estimates | 0.247224 |
| HPV vaccination | 0.605735 |
| HPV vaccine | 0.980662 |
| HPV vaccine dose | 0.976691 |
| HPV dose-specific vaccination | 0.232854 |
| percentage points | 0.243426 |
| routine HPV vaccination | 0.216858 |
| vaccination coverage | 0.992911 |
| vaccine series dose | 0.289034 |
| HPV vaccination rates | 0.248254 |
| quadrivalent HPV vaccine | 0.260477 |
| Tdap vaccine dose | 0.521239 |
| HPV vaccination coverage | 0.434262 |
| varicella vaccination coverage | 0.208055 |
| MMR vaccine doses | 0.207173 |
|
| MenACWY vaccine dose | 0.559427 |
| HPV vaccine series | 0.435604 |
| HPV vaccination initiation | 0.22534 |
| adolescents | 0.323945 |
| females | 0.307766 |
| vaccine dose coverage | 0.301945 |
| varicella vaccine coverage | 0.257435 |
| doses MMR vaccine | 0.203772 |
| 3-dose HPV vaccination | 0.313473 |
| vaccination provider-reported vaccination | 0.22558 |
| vaccines.††††HPV vaccination | 0.228602 |
| HPV vaccine doses | 0.336051 |
| Tdap vaccination coverage | 0.222366 |
| HPV vaccination series | 0.379517 |
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Centers for Disease Control and Prevention |
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Current Cigarette Smoking Among Adults - United States,2005-2012 |
Israel T. Agaku, DMD1,2, Brian A. King, PhD2, Shanta R. |
| current smoking estimates | 0.506102 |
| personal care needs | 0.48293 |
| overall smoking prevalence | 0.749042 |
| Tobacco Control Act | 0.42611 |
| high-impact antitobacco mass | 0.508104 |
| quit attempt | 0.502803 |
| National Health Interview | 0.502654 |
| current smokers | 0.59819 |
| tobacco control programs | 0.563476 |
| current cigarette smokers | 0.505227 |
| smoking status | 0.542887 |
| daily living | 0.676184 |
| current smoking | 0.528141 |
| daily current smokers | 0.521958 |
| everyday household chores | 0.478128 |
| comprehensive tobacco control | 0.476275 |
| high smoking prevalence | 0.568439 |
| smoking cessation website | 0.494236 |
| Health Interview Survey | 0.503638 |
| U.S. Census region | 0.510401 |
| instrumental activities | 0.473759 |
| significantly higher prevalence | 0.48724 |
| persons | 0.449074 |
| antitobacco mass media | 0.506343 |
| mass media campaigns | 0.497704 |
|
| self-reported smoking status | 0.501686 |
| tobacco control efforts | 0.423861 |
| cigarettes | 0.431481 |
| overall quit ratio | 0.527226 |
| Family Smoking Prevention | 0.500879 |
| smoking prevalence | 0.993089 |
| United States | 0.753402 |
| mean CPD | 0.438394 |
| age group | 0.466496 |
| comprehensive smoke-free laws | 0.61756 |
| tobacco price increases | 0.513074 |
| adult cigarette smoking | 0.490982 |
| U.S. Census Bureau | 0.456988 |
| cigarette smoking | 0.708846 |
| North Dakota | 0.440646 |
| year.†Quit ratios | 0.471591 |
| population smoking prevalence | 0.569172 |
| U.S. adults | 0.579922 |
| adult smoking | 0.453673 |
| daily smokers | 0.767304 |
| cigarette smoking prevalence | 0.630518 |
| emotional problem | 0.479395 |
| CPD | 0.497602 |
| tobacco control | 0.653284 |
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Centers for Disease Control and Prevention |
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Photograph of fresh produce: Potatoes (700W x 933H) |
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Centers for Disease Control and Prevention |
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CDC Statement on Outbreak of STEC O104:H4 infections in Germany - Statement: June 1, 2011 |
CDC Statement on Outbreak of STEC O104:H4 infections in Germany |
| CDC | 0.573513 |
| recent travel | 0.550395 |
| frequently asked questions | 0.531675 |
| public health authorities | 0.660819 |
| Shiga toxin-producing E. | 0.8175 |
| largest E. coli | 0.568358 |
| state health departments | 0.647971 |
| disease control | 0.483041 |
| outbreak | 0.602169 |
| northern states | 0.479088 |
| prevention agency | 0.483011 |
| German public health | 0.661105 |
| proper diagnostic testing | 0.52163 |
| rare STEC strains | 0.670258 |
| rare strain | 0.53638 |
| life-threatening complication | 0.483169 |
| H4 infection | 0.496049 |
| medical provider | 0.473522 |
| health surveillance systems | 0.524946 |
| thorough hand washing | 0.518712 |
| specific food vehicle | 0.523113 |
| illness onset | 0.478497 |
| Shiga toxin-positive diarrheal | 0.565871 |
| Germany | 0.583219 |
| ongoing outbreak | 0.528596 |
|
| ill people | 0.528221 |
| United States | 0.947896 |
| kidney failure | 0.477803 |
| hemolytic uremic syndrome | 0.555892 |
| STEC infection | 0.671158 |
| U.S. travelers | 0.479948 |
| U.S. military personnel | 0.529322 |
| popular food item | 0.52309 |
| STEC O104 | 0.80996 |
| STEC O104 infections | 0.75992 |
| specific food | 0.535109 |
| unusual strain | 0.488202 |
| E. coli | 0.913284 |
| toxin-producing E. coli | 0.820194 |
| STEC infections | 0.817995 |
| HUS | 0.576304 |
| HUS cases | 0.515411 |
| medical care | 0.473569 |
| Robert Koch Institute | 0.55126 |
| raw lettuce | 0.47331 |
| large outbreak | 0.596926 |
| basic hygiene practices | 0.518239 |
| Schleswig Holstein | 0.475856 |
| U.S. military bases | 0.527629 |
|
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Centers for Disease Control and Prevention |
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Feasibility of partnering with emergency medical services to identify people at risk for uncontrolled high blood pressure. |
Uncontrolled high blood pressure (HBP) is a significant health problem and often goes undetected. In the prehospital care-delivery system of 9-1-1 emergency medical services (EMS) calls, emergency medical technicians (EMTs) routinely collect medical information, including blood pressure values, that may indicate the presence of chronic disease. |
| blood pressure check | 0.538165 |
| 9-1-1 EMS visit | 0.493049 |
| EMS personnel | 0.617834 |
| blood pressure checks | 0.511346 |
| medical incident report | 0.521647 |
| systolic blood pressure | 0.581828 |
| emergency medical services | 0.530796 |
| diastolic blood pressure | 0.581785 |
| health care providers | 0.473809 |
| blood pressure values | 0.575416 |
| blood pressure | 0.940294 |
| medical incident | 0.558504 |
| Health Seattle King | 0.502639 |
| emergency medical technicians | 0.473829 |
| blood pressure screening | 0.561087 |
| EMS | 0.671528 |
| blood pressure control | 0.491781 |
| mm Hg | 0.578164 |
| Marketing Research Center | 0.497172 |
| uncontrolled HBP | 0.72103 |
| intervention | 0.501608 |
| free blood pressure | 0.573019 |
| 9-1-1 EMS response | 0.475883 |
| EMS crew | 0.486358 |
| high HBP values | 0.479636 |
|
| study | 0.475653 |
| HBP information | 0.483282 |
| EMS division | 0.551303 |
| 9-1-1 EMS event | 0.496751 |
| EMS patients | 0.473823 |
| local fire station | 0.482555 |
| Public Health Seattle | 0.503105 |
| EMS care providers | 0.475052 |
| departments | 0.477972 |
| health care | 0.522622 |
| Health Marketing Research | 0.504222 |
| 9-1-1 EMS | 0.53151 |
| patient contact information | 0.546882 |
| EMTs | 0.535181 |
| community residents | 0.611166 |
| health | 0.573837 |
| follow-up blood pressure | 0.483744 |
| medical incident reports | 0.555322 |
| Health Belief Model | 0.545342 |
| high blood pressure | 0.532894 |
| blood pressure monitoring | 0.506722 |
| County EMS division | 0.534115 |
| Seattle King County | 0.516669 |
| King County | 0.587937 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0335 |
Volumen 10 — el 03 de julio de 2013. |
|
| máquinas expendedoras | 0.975572 |
|
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Centers for Disease Control and Prevention |
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Lead - CDC's National Surveillance Data (1997-2012) |
CDC’s National Surveillance Data (1997-2014) |
| medical treatment | 0.418375 |
| state child-specific databases | 0.561253 |
| CDC | 0.352098 |
| National Chart | 0.301411 |
| blood lead tests | 0.718286 |
| national surveillance | 0.356162 |
| blood lead test | 0.422857 |
| national database | 0.312107 |
| reporting level | 0.306038 |
| blood lead | 0.952487 |
| states | 0.288181 |
| data collection methods | 0.408669 |
| follow-up data | 0.422595 |
| View data | 0.322152 |
| KB | 0.243897 |
| elevated blood lead | 0.890616 |
| Lead Level Group | 0.397438 |
| population-based estimate | 0.312031 |
| health departments | 0.422344 |
| environmental investigations | 0.418162 |
| Lead Poisoning Data | 0.419393 |
|
| potential sources | 0.417879 |
| local health departments | 0.416331 |
| Surveillance fields | 0.334567 |
| program management purposes | 0.38873 |
| grantees | 0.219937 |
| elevated values | 0.361811 |
| child-specific surveillance databases | 0.436448 |
| duplicate test results | 0.409925 |
| Lead Level Rates | 0.402956 |
| state-specific data | 0.327645 |
| data elements | 0.325807 |
| childhood blood | 0.339474 |
| Blood Lead Level | 0.497002 |
| sequential test results | 0.409803 |
| Confirmed Elevated Blood | 0.56668 |
| individual children | 0.317546 |
| local level | 0.30094 |
| laboratories | 0.236706 |
| State surveillance systems | 0.432256 |
| lead exposure | 0.414313 |
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Update: Ebola Virus Disease Epidemic - West Africa, February2015 |
On February 24, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| Port Loko | 0.460707 |
| Guinea Interministerial Committee | 0.661029 |
| Human Services | 0.493397 |
| Ebola virus transmission | 0.615508 |
| ebola virus | 0.871346 |
| Situational Awareness Team | 0.506621 |
| MMWR HTML versions | 0.50172 |
| U.S. Department | 0.49347 |
| MMWR Early Release | 0.528687 |
| Social Welfare | 0.521183 |
| electronic PDF version | 0.494521 |
| nonconfirmed cases | 0.475305 |
| Zoonotic Infectious Diseases | 0.518424 |
| situation reports | 0.459106 |
| National Center | 0.465003 |
| World Health Organization | 0.84701 |
| ongoing Ebola epidemic | 0.598458 |
| Contact GPO | 0.46056 |
| up-to-date infection control | 0.498625 |
| case reporting | 0.46336 |
| CDC Guinea Response | 0.628088 |
| original paper copy | 0.495667 |
| Ebola virus disease | 0.809965 |
| original MMWR paper | 0.500332 |
|
| U.S. Government Printing | 0.499833 |
| Sierra Leone | 0.978618 |
| Ebola Epidemiology Team | 0.629066 |
| Special Pathogens Branch | 0.518937 |
| CDC Sierra Leone | 0.661361 |
| Ebola cases | 0.569864 |
| MMWR website | 0.473416 |
| MMWR readers | 0.459417 |
| Ebola-related deaths | 0.458841 |
| Response Team | 0.547282 |
| FIGURE. Number | 0.463082 |
| case counts | 0.467775 |
| laboratory-confirmed cases | 0.474849 |
| highest number | 0.465696 |
| Liberia Ministry | 0.570366 |
| previously inaccessible communities | 0.503968 |
| Public Health Preparedness | 0.517359 |
| ongoing epidemic | 0.469226 |
| latest World Health | 0.532268 |
| Sierra Leone Ministry | 0.691859 |
| West Africa | 0.616348 |
| total case | 0.514696 |
| CDC Liberia Response | 0.640452 |
| confirmed cases | 0.528813 |
|
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Centers for Disease Control and Prevention |
Video |
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Screening for Colorectal Cancer: Optimizing Quality (CME). Primary Care Version Part 2 |
Part 2 of the Primary Care Version CME focuses on why stool blood testing should be offered to patients and the elements of high-quality stool testing, such as selecting an effective test, identifying eligible patients, communicating with patients effectively, high-quality test handling and processing, and ensuring high test completion rates and follow-up after abnormal test results. It is the second 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_Care2/CRC_Screening_Optimizing_Quality_Primary_Care2_256k.mp4 |
| Quality | 0.355409 |
| Colorectal Cancer | 0.945094 |
|
| CME | 0.630822 |
| YouTube | 0.605896 |
|
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Centers for Disease Control and Prevention |
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Male-to-Male Sexual Transmission of Zika Virus - Texas,January 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Zika virus-infected blood | 0.461506 |
| sexual transmission case | 0.459625 |
| health care provider | 0.450501 |
| Human Services | 0.501016 |
| aegypti extrinsic incubation | 0.441213 |
| Zika virus | 0.941894 |
| active Zika virus | 0.556576 |
| anal sex | 0.49638 |
| Zika virus RNA | 0.525008 |
| autochthonous Zika transmission | 0.487397 |
| female sex partners | 0.452056 |
| slightly pruritic rash | 0.443509 |
| culturable Zika virus | 0.515396 |
| prior case report | 0.450882 |
| detectable Zika virus | 0.585359 |
| Zika virus disease | 0.528249 |
| Health Vector Control | 0.441541 |
| respective illness onsets | 0.532232 |
| infection-competent Zika virus | 0.518351 |
| public health practice | 0.45335 |
| saliva specimens | 0.448224 |
| Zika virus transmission | 0.58069 |
| autochthonous transmission | 0.459373 |
| primary care provider | 0.442037 |
| public health agencies | 0.453047 |
|
| vector-borne Zika virus | 0.517267 |
| semen | 0.454018 |
| Aedes species mosquitoes | 0.457507 |
| chikungunya virus | 0.48422 |
| State Health Services | 0.445469 |
| Zika virus infection | 0.768836 |
| transmitted Zika virus | 0.599256 |
| thawed semen samples | 0.45238 |
| present case report | 0.483721 |
| sexually transmitted infections | 0.446897 |
| pruritic rash | 0.444015 |
| local health | 0.446515 |
| local health departments | 0.44159 |
| Zika virus infections | 0.541259 |
| developed subjective fever | 0.442355 |
| sexual transmission | 0.556672 |
| sexually transmitted Zika | 0.538967 |
| Dallas County Health | 0.506295 |
| small joint arthritis | 0.440922 |
| vaginal sex | 0.471423 |
| vectors Aedes aegypti | 0.451933 |
| case reports | 0.445782 |
| dengue virus serotype | 0.502143 |
| patient B. Patient | 0.477876 |
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