| 802 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 6421 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - December 2, 2011 |
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. |
| provisional 4-week totals | 0.634456 |
| Mortality Tables | 0.487409 |
| equine encephalitis virus | 0.557022 |
| Mortality Weekly Report | 0.486222 |
| Viral hemorrhagic fever¶¶¶ | 0.478043 |
| provisional cases | 0.59266 |
| Hantavirus pulmonary syndrome§ | 0.480833 |
| Staphylococcus aureus§ | 0.479943 |
| New York City | 0.471913 |
| acute hepatitis | 0.527875 |
| 2011-12 influenza season | 0.485002 |
| Cum | 0.477339 |
| noncholera Vibrio species | 0.478975 |
| influenza A virus | 0.486551 |
| National Center | 0.541589 |
| CDC Home CDC | 0.48989 |
| Hemolytic uremic syndrome | 0.481488 |
| California serogroup virus | 0.498925 |
| meningococcal disease | 0.519847 |
| historical data | 0.517701 |
| Influenza Division | 0.476131 |
| Ñ?ЛП
Notifiable Diseases | 0.514893 |
| Cumulative year-to-date counts | 0.476284 |
| 2009 pandemic | 0.505688 |
|
| Respiratory Diseases | 0.473442 |
| NN | 0.991054 |
| United States | 0.723696 |
| Vancomycin-resistant Staphylococcus aureus§ | 0.476973 |
| novel influenza | 0.522572 |
| I. Provisional cases | 0.507804 |
| 5-year weekly average†| 0.491376 |
| notifiable diseases | 0.673473 |
| Vancomycin-intermediate Staphylococcus aureus§ | 0.476779 |
| Eastern equine encephalitis | 0.487018 |
| pandemic influenza | 0.50857 |
| Influenza-associated pediatric mortality§ | 0.477111 |
| viral hemorrhagic fever | 0.472851 |
| Western equine encephalitis | 0.48668 |
| Polio virus Infection | 0.480595 |
| Total case counts | 0.472953 |
| notifiable disease reports | 0.623369 |
| current 4-week total | 0.48841 |
| Vector-Borne Infectious Diseases | 0.479746 |
| Chlamydia trachomatis infection | 0.472472 |
| TABLE I. | 0.488338 |
| dengue hemorrhagic fever | 0.474677 |
| subsequent 4-week periods | 0.483568 |
| West Nile virus | 0.478913 |
|
CLICK HERE |
| 6647 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 7666 |
Centers for Disease Control and Prevention |
Html |
en |
David J. Sencer CDC Museum: In Association with the Smithsonian Institution |
CDC Centers for Disease Control and Prevention David J. Sencer CDC Museum Homepage |
| high-tech science | 0.316449 |
| David J. Sencer | 0.833191 |
| CDC’s National | 0.399552 |
| United States | 0.288838 |
| Birth Defects | 0.272183 |
| Little Things | 0.411802 |
| Emory University | 0.278578 |
| Sierra Leone | 0.290835 |
| Associate Director | 0.266581 |
| humanitarian crisis | 0.288859 |
| J. Sencer CDC | 0.956852 |
| mystery diseases | 0.313945 |
| greatest achievement | 0.27261 |
| Developmental Disorders | 0.276147 |
| Global Health Chronicles | 0.46274 |
| public health | 0.784107 |
| public health topics | 0.511294 |
| global health | 0.495737 |
|
| Rollins School | 0.283656 |
| Atlanta-based Hales Photo | 0.44512 |
| different subject | 0.273531 |
| unique museum features | 0.474509 |
| CDC Headquarters | 0.44988 |
| social communication | 0.277321 |
| web site | 0.274383 |
| Ebola Fever Virus | 0.552909 |
| Global Health Institute | 0.456093 |
| Sencer CDC Museum | 0.947217 |
| Developmental Disabilities Branch | 0.418248 |
| patient families | 0.275772 |
| old-fashioned detective work | 0.506436 |
| milestone matters | 0.281152 |
| West Africa | 0.289083 |
| Marcus Autism Center | 0.492717 |
| global health security | 0.471731 |
|
CLICK HERE |
| 7925 |
Centers for Disease Control and Prevention |
Html |
en |
Cervical Cancer Screening Among Women Aged 18-30 Years -United States, 2000-2010 |
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. |
| young women | 0.340195 |
| recent cervical cancer | 0.299504 |
| cervical cancer diagnosis | 0.299659 |
| U.S. Preventive Services | 0.303201 |
| Keisha A. Houston | 0.293658 |
| frequent cervical cancer | 0.292353 |
| test reduces cancer | 0.278881 |
| United States | 0.35805 |
| age group | 0.393057 |
| Pap test status | 0.407507 |
| Risk Factor Surveillance | 0.42625 |
| longer screening intervals | 0.278088 |
| ACOG guidelines | 0.282856 |
| Pap testing practices | 0.354865 |
| American Cancer Society | 0.360835 |
| Pap testing regress | 0.347444 |
| invasive cervical cancer | 0.298397 |
| routine screenings | 0.28634 |
| guidelines | 0.305317 |
| Pap tests | 0.337332 |
| Preventive Services Task | 0.300176 |
| consistent screening guidelines | 0.292007 |
|
| screening intervals | 0.280929 |
| Pap test | 0.920498 |
| New York | 0.27341 |
| V. Cervical cancer | 0.295455 |
| health-care coverage | 0.296742 |
| routine Pap tests | 0.326655 |
| cervical cancer screening | 0.518003 |
| Services Task Force | 0.301925 |
| U.S. Census region | 0.368605 |
| cervical cancer | 0.782042 |
| Newer cervical cancer | 0.28994 |
| survey response rates | 0.301542 |
| New Mexico | 0.273082 |
| Pap testing | 0.653571 |
| Pap test initiation | 0.341729 |
| Pap testing behaviors | 0.392696 |
| human papillomavirus | 0.276965 |
| New England | 0.273481 |
| New Hampshire | 0.273455 |
| Behavioral Risk Factor | 0.42644 |
| recent Pap test | 0.349199 |
| women | 0.569288 |
|
CLICK HERE |
| 8304 |
Centers for Disease Control and Prevention |
Html |
en |
Definitions - Intimate Partner Violence |
null |
| close personal relationship | 0.552771 |
| anal insertion | 0.425828 |
| inner thigh | 0.420662 |
| immigration status | 0.420415 |
| Emotional connectedness | 0.449626 |
| unwanted filming | 0.467278 |
| victim touch | 0.640967 |
| Ongoing physical contact | 0.561856 |
| physical force | 0.548519 |
| aggressive hair | 0.426187 |
| coercive acts | 0.463995 |
| unwanted sexual events | 0.606969 |
| unwanted exposure | 0.467842 |
| intimate partners | 0.452033 |
| behavioral sexual harassment | 0.544639 |
| health outcome | 0.418796 |
| physical violence | 0.817889 |
| sexual behavior | 0.473336 |
| public health surveillance | 0.510379 |
| sexual intimacy | 0.468965 |
| victim | 0.928228 |
| psychological aggression | 0.662985 |
| same-sex couples | 0.42612 |
| sexual nature | 0.450566 |
|
| main types | 0.435067 |
| sexual violence | 0.981243 |
| perpetrator’s vulnerability | 0.45458 |
| intentional touching | 0.422256 |
| preventable public health | 0.568122 |
| Regular contact | 0.44509 |
| consent | 0.421517 |
| pressured unwanted penetration | 0.59662 |
| sexual partners | 0.469393 |
| physical nature | 0.434632 |
| pregnancy termination | 0.419514 |
| non-verbal communication | 0.418051 |
| unwanted phone calls | 0.562285 |
| sexual situations | 0.449488 |
| birth control | 0.422 |
| severe episodes | 0.421772 |
| Unwanted sexual contact | 0.611367 |
| coercive control | 0.437107 |
| lasting impact | 0.42933 |
| intimate partner violence | 0.827836 |
| victim’s vulnerability | 0.641203 |
| standard case definition | 0.67465 |
| high quality case | 0.515025 |
|
CLICK HERE |
| 10511 |
Centers for Disease Control and Prevention |
Html |
en |
Email Updates: November 19, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| Metro TB Clinic | 0.567354 |
| CDC | 0.94535 |
| Public Health Matters | 0.593248 |
| Emergency Preparedness | 0.574722 |
| antibiotics promotes | 0.520775 |
| FDA Safety Information | 0.563832 |
| Nile virus infections | 0.558608 |
| Hurricane Sandy Response | 0.558506 |
| Marte Brand Ricotta | 0.552359 |
| – (CDC) | 0.708803 |
| treatment guidance | 0.497228 |
| CDC Science Clips | 0.811411 |
| Additional COCA Conference | 0.618132 |
| CDC Influenza Division | 0.777056 |
| important safety information | 0.550732 |
| subject matter experts | 0.573281 |
| Free CE credit/contact | 0.575105 |
| Weekly Flu View | 0.554918 |
| human medical products | 0.541086 |
| Pharmaceutical Compounding Guidance | 0.549753 |
| New Resource Web | 0.54805 |
| Screening Lab Perseveres | 0.549737 |
| annual TB Trot | 0.574889 |
| Current Travel Warnings | 0.559227 |
| crisis…or annual event | 0.569671 |
|
| Pharmaceutical Compounding | 0.556408 |
| multiple antibiotics | 0.520116 |
| Event Reporting Program | 0.552895 |
| Disease Outbreak | 0.518951 |
| Meningitis Outbreak Investigation | 0.572311 |
| Denver Public Health | 0.597431 |
| weekly feature | 0.495455 |
| USP General Chapter | 0.553805 |
| COCA Email Update | 0.614371 |
| United States Pharmacopeia | 0.556711 |
| west nile virus | 0.766968 |
| current epidemiology | 0.495616 |
| public health community | 0.596631 |
| CDC Works | 0.713781 |
| public health | 0.697025 |
| Specific Hazards preparedness | 0.568941 |
| incident command | 0.546342 |
| in-person training centers | 0.561332 |
| Nile virus disease | 0.559461 |
| FoodSafety.gov Reports FDA | 0.569685 |
| weekly influenza surveillance | 0.55418 |
| USDA Food Recalls | 0.553033 |
| Response Training Resources | 0.577355 |
| Multistate Outbreak | 0.516966 |
|
CLICK HERE |
| 11483 |
Centers for Disease Control and Prevention |
Html |
en |
ELISA Software for Bioassays | Manual | Parameter Estimation | CDC |
Module 4 of the ELISA for Windows user's manual: Parameter Estimation. |
| entire standards data | 0.467072 |
| final estimated values | 0.455957 |
| standards data file | 0.587965 |
| output window | 0.542071 |
| estimation algorithm | 0.510968 |
| Page | 0.471512 |
| program | 0.546018 |
| initial starting values | 0.476821 |
| dialog window | 0.53744 |
| solution | 0.652084 |
| fitting procedure | 0.488 |
| Taylor series estimation | 0.66067 |
| coefficient vector update | 0.836182 |
| parameter logistic-log function | 0.546936 |
| iterative estimation process | 0.476329 |
| standards data | 0.917656 |
| sample data file | 0.465081 |
| standard curves | 0.585451 |
| sigmoidal-shaped curve | 0.493989 |
| squares | 0.718169 |
| data points | 0.516375 |
| logistic-log model | 0.490195 |
| previously successful run | 0.521326 |
| data file selection | 0.488353 |
| numeric overflow | 0.488192 |
|
| left mouse key | 0.488222 |
| ELISA | 0.616584 |
| smaller proportion | 0.47242 |
| values | 0.738195 |
| series estimation technique | 0.539533 |
| logistic-log function | 0.679062 |
| Taylor series expansion | 0.500787 |
| file | 0.651399 |
| file contain data | 0.467808 |
| data sets | 0.515195 |
| coefficient data entry | 0.46339 |
| Marquardt’s Compromise | 0.58381 |
| file list box | 0.454681 |
| Compromise estimation algorithm | 0.464272 |
| Taylor series | 0.723236 |
| iterative process | 0.612477 |
| windows | 0.596671 |
| fitting technique weights | 0.456168 |
| spline fit | 0.510504 |
| final fit | 0.479751 |
| unweighted least squares | 0.530959 |
| coefficients | 0.697115 |
| robust fitting technique | 0.555952 |
| user | 0.71195 |
|
CLICK HERE |
| 11697 |
Centers for Disease Control and Prevention |
Html |
en |
Reported Tuberculosis in the United States, 2013 |
We have made progress in reducing the number of cases of tuberculosis (TB) in the United States. Still, outbreaks occur and TB remains a serious public health issue. |
| high rates | 0.269056 |
| foreign-born persons | 0.695226 |
| refugees | 0.214358 |
| Human Services | 0.276051 |
| test recent arrivals | 0.338564 |
| blacks | 0.235927 |
| U.S. Department | 0.272495 |
| ethnic groups | 0.277498 |
| TB control activities | 0.490312 |
| majority | 0.214823 |
| vulnerable populations | 0.284658 |
| risk factors | 0.277977 |
| countries | 0.229958 |
| TB rates | 0.450569 |
| high number | 0.269884 |
| CDC. Reported Tuberculosis | 0.359194 |
| India | 0.214319 |
| international public health | 0.330901 |
| ethnic group | 0.278399 |
| outbreaks | 0.242209 |
| consistent declines | 0.287476 |
| U.S.-born persons | 0.27925 |
| public health issue | 0.513107 |
| Ongoing efforts | 0.270204 |
| case rates | 0.276848 |
|
| United States | 0.833033 |
| overall national case | 0.33211 |
| figures | 0.216635 |
| 100,000 | 0.273384 |
| greater proportion | 0.285698 |
| African Americans | 0.360019 |
| total cases | 0.286019 |
| persistent disparities | 0.277265 |
| race/ethnicity | 0.215199 |
| times | 0.214995 |
| China | 0.214303 |
| case rate | 0.274882 |
| immigrants | 0.214376 |
| higher risk | 0.279193 |
| Foreign-born cases | 0.357619 |
| TB cases | 0.995997 |
| national case total | 0.458965 |
| people | 0.215589 |
| Foreign-born Asians | 0.359462 |
| Data Source | 0.279693 |
| progress | 0.234625 |
| Mexico | 0.229843 |
| largest percentage | 0.279111 |
| incidence | 0.233427 |
|
CLICK HERE |
| 14050 |
Centers for Disease Control and Prevention |
Html |
en |
Birth Defects: 1 in 33 | CDC Features |
Read these stories to learn about birth defects and how they impact families. |
| twin daughters | 0.578888 |
| doctors wrong time | 0.638013 |
| spina bifida | 0.923161 |
| people’s lives | 0.575616 |
| nationwide effort | 0.574446 |
| family stories | 0.65679 |
| local services | 0.577713 |
| girls | 0.530535 |
| National Birth Defects | 0.672657 |
| cleft lip | 0.573876 |
| Erin | 0.565471 |
| son | 0.545273 |
| Dawn | 0.578712 |
| social worker | 0.578996 |
| things | 0.528664 |
| best doctors | 0.585745 |
| Deborah | 0.546837 |
| local chapter | 0.577325 |
| amazing therapy team | 0.638201 |
| navigate different programs | 0.644844 |
| child | 0.531705 |
| best friend | 0.570475 |
| United States | 0.592032 |
| visit Birth Defects | 0.66817 |
|
| baby’s success | 0.580942 |
| favorite aunt | 0.571835 |
| Caden’s story | 0.606282 |
| life | 0.541132 |
| best giggles | 0.575809 |
| Spina Bifida Association | 0.703305 |
| school classroom | 0.591868 |
| coolest thing | 0.575546 |
| normal pregnancy | 0.586015 |
| Caden’s baby | 0.603567 |
| multiple states | 0.578917 |
| social media | 0.633448 |
| Henry | 0.600875 |
| scary diagnosis | 0.584989 |
| skulls | 0.533784 |
| early intervention | 0.577441 |
| heart syndrome | 0.590947 |
| Social Security | 0.58049 |
| integral point | 0.578932 |
| families | 0.532327 |
| birth defects | 0.821042 |
| real babies | 0.593403 |
| positive success story—one | 0.652701 |
| different places | 0.578927 |
|
CLICK HERE |