| 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 |
|
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| 991 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement: World Water Day - March 22, 2014 |
World Water Day, sponsored by the United Nations, is observed each year on March 22. This year, World Water Day focuses on water and energy. Water and energy are closely linked. |
| energy sectors | 0.603966 |
| endorsement | 0.489674 |
| United Nations | 0.623384 |
| Human Services | 0.721378 |
| MMWR HTML versions | 0.73087 |
| U.S. Department | 0.721825 |
| water resources | 0.638303 |
| identification | 0.431658 |
| electronic PDF version | 0.72166 |
| http://www.unwater.org/worldwaterday | 0.43229 |
| Additional information | 0.592062 |
| safe drinking water | 0.809862 |
| Contact GPO | 0.618894 |
| degree | 0.433979 |
| commercial sources | 0.590745 |
| ideas | 0.43237 |
| Worldwide | 0.43446 |
| lack | 0.43478 |
| current prices | 0.579669 |
| economies | 0.439682 |
| persons | 0.434424 |
| original paper copy | 0.714265 |
| Internet | 0.431292 |
| policymakers | 0.441218 |
|
| World Water | 0.930394 |
| original MMWR paper | 0.723712 |
| Superintendent | 0.435407 |
| cost-effective water | 0.632645 |
| global access | 0.589764 |
| MMWR readers | 0.590808 |
| character translation | 0.58026 |
| sanitation | 0.489039 |
| energy services | 0.607636 |
| format errors | 0.581718 |
| hygiene resources | 0.587565 |
| Health | 0.456807 |
| typeset documents | 0.588621 |
| trade names | 0.590902 |
| official text | 0.577761 |
| non-CDC sites | 0.585518 |
| activities | 0.433808 |
| References | 0.431344 |
| decades | 0.433654 |
| major challenges | 0.595639 |
| electronic conversions | 0.576184 |
| improved coordination | 0.599213 |
| linkages | 0.442465 |
| printable versions | 0.571084 |
|
CLICK HERE |
| 4819 |
Centers for Disease Control and Prevention |
Html |
en |
Prevalence of diabetes and impaired fasting glucose in Chinese adults, China National Nutrition and Health Survey, 2002 |
null |
| BMI categories | 0.302379 |
| BMI category | 0.282286 |
| overall prevalence | 0.359057 |
| data | 0.307621 |
| self-reported current diabetes | 0.398043 |
| United States | 0.392866 |
| health survey | 0.325564 |
| age group | 0.331856 |
| census population | 0.462145 |
| China National Nutrition | 0.400656 |
| highest prevalence | 0.302618 |
| lower prevalence | 0.301239 |
| IFG | 0.4177 |
| plasma glucose | 0.405367 |
| prevalence | 0.675873 |
| similar prevalence | 0.339875 |
| additional diabetes cases | 0.296859 |
| China | 0.583031 |
| small cities | 0.332811 |
| Chinese adults | 0.300016 |
| oral glucose tolerance | 0.28553 |
| Dr Liu | 0.289158 |
| overall standardized prevalence | 0.360903 |
| rural areas | 0.976321 |
|
| prevalence differences | 0.307862 |
| Nutrition Examination Survey | 0.307678 |
| State Statistical Bureau | 0.297025 |
| overweight | 0.286723 |
| obesity | 0.318574 |
| BMI | 0.307695 |
| large cities vs | 0.289462 |
| body mass index | 0.407986 |
| sex-specific prevalence | 0.332292 |
| urban areas | 0.766977 |
| rapidly rising prevalence | 0.320661 |
| large cities | 0.926911 |
| farm work | 0.493101 |
| China census population | 0.38251 |
| physical activity | 0.279384 |
| significantly higher prevalence | 0.369449 |
| current diabetes treatments | 0.396985 |
| residents | 0.323905 |
| American Diabetes Association | 0.362955 |
| fasting plasma glucose | 0.326683 |
| especially large cities | 0.317922 |
| Beijing Anzhen Hospital | 0.283777 |
| diabetes | 0.713291 |
|
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 |
|
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| 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 |
|
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| 8202 |
Centers for Disease Control and Prevention |
Html |
en |
Caregiving Tips for Families of People With Disabilities - Family Caregivers |
null |
| good care | 0.577162 |
| appropriate milestones | 0.568215 |
| medical history | 0.564853 |
| disability | 0.689781 |
| health care provider | 0.628551 |
| similar experiences | 0.568194 |
| family member | 0.926748 |
| community services | 0.566017 |
| better service | 0.56758 |
| support group | 0.662071 |
| particular need | 0.567771 |
| special conditions | 0.565534 |
| perfect caregiver | 0.571732 |
| healthy lifestyles | 0.580507 |
| respite care | 0.575409 |
| national provisions | 0.563187 |
| health care providers | 0.641232 |
| everyday needs | 0.570604 |
| family members | 0.670569 |
| physical abuse | 0.571257 |
| Set reasonable expectations | 0.612102 |
| healthy living | 0.633339 |
| effective caregiver | 0.569171 |
| extra care | 0.572127 |
| national groups | 0.565226 |
|
| family issues | 0.601169 |
| beach vacation | 0.563648 |
| portable walkway mat | 0.620249 |
| healthy family | 0.628293 |
| family caregivers | 0.605875 |
| official caregiving information | 0.649702 |
| Gather information | 0.579877 |
| entire life | 0.56316 |
| reliable people | 0.567555 |
| strongest caregiver | 0.571524 |
| Family Medical Leave | 0.640862 |
| special needs | 0.571027 |
| knowledgeable health decisions | 0.633968 |
| Social Security Administration | 0.609683 |
| support groups | 0.572358 |
| people | 0.595308 |
| Long breaks | 0.563095 |
| online support group | 0.630236 |
| disabilities | 0.582433 |
| medical staff | 0.565012 |
| Caregiving Resources | 0.597528 |
| temporary care | 0.570934 |
| safety issues | 0.562824 |
| general caregiving tips | 0.673889 |
|
CLICK HERE |
| 9020 |
Centers for Disease Control and Prevention |
Video |
en |
Secondhand Smoke: Triumphs and Tragedies |
Secondhand Smoke: Triumphs and Tragedies is a 10-minute video that puts a human face on the issue by telling the stories of six individuals whose health was affected by secondhand smoke and/or who led local efforts to make workplaces and public places smoke free. The video also tells the stories of three communities that successfully implemented smoke-free policies. The video won the Gold Aurora and Silver Telly awards.
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/tobacco/data_statistics/sgr/2006/transcripts/video/index.htm |
| Triumphs | 0.745644 |
| Tragedies | 0.74729 |
|
|
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 |
|
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| 12158 |
Centers for Disease Control and Prevention |
Html |
en |
Meningitis | Lab Manual | Primary Culture and Presumptive Id | CDC |
Primary Culture and Presumptive Identification Laboratory Methods. |
| S. pneumoniae detection | 0.482955 |
| bacteria | 0.520582 |
| latex agglutination test | 0.502353 |
| Presumptive identification | 0.494365 |
| Gram stain | 0.738551 |
| rubber stopper | 0.4998 |
| well-mixed CSF sediment | 0.53915 |
| S. pneumoniae | 0.980197 |
| Typical CSF abnormalities | 0.531839 |
| Staphylococcus aureus | 0.502493 |
| chocolate agar plate | 0.507676 |
| CSF examination | 0.510582 |
| aerosolized N. meningitidis | 0.50851 |
| chocolate agar | 0.517866 |
| rapid diagnostic test | 0.494823 |
| S. pneumoniae colonies | 0.486169 |
| CSF supernatant | 0.511032 |
| package insert | 0.467076 |
| CSF specimen | 0.519951 |
| entire Gram stain | 0.470353 |
| CSF specimens | 0.545026 |
| colony morphology | 0.496515 |
| H. influenzae | 0.920171 |
| crystal violet dye | 0.481863 |
| primary culture | 0.673254 |
|
| N. meningitidis | 0.787895 |
| blood culture bottle | 0.713893 |
| MacConkey agar | 0.504927 |
| blood culture specimens | 0.471158 |
| primary culture media | 0.627452 |
| cap | 0.490028 |
| CSF | 0.695281 |
| T-I medium | 0.538713 |
| bacterial meningitis | 0.508862 |
| CSF sediment | 0.582286 |
| gram-positive bacteria | 0.497969 |
| microbiology laboratory | 0.568864 |
| gram-negative bacteria | 0.483306 |
| latex agglutination | 0.54648 |
| latex agglutination testing | 0.486395 |
| blood culture broth | 0.489011 |
| BAP | 0.511915 |
| unknown CSF | 0.508322 |
| inoculated blood culture | 0.481247 |
| well-characterized reference strain | 0.473929 |
| blood agar plate | 0.521021 |
| growth | 0.491487 |
| cytological examination | 0.472285 |
| H. influenzae forms | 0.487323 |
|
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| 16272 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - Mammography |
null |
| Death rates | 0.544102 |
| mammograms | 0.495826 |
| United States | 0.86191 |
| survival rates | 0.540537 |
| Ambulatory Medical Care | 0.976843 |
| Source | 0.48983 |
| Age-adjusted cancer incidence | 0.664804 |
| PDF | 0.552392 |
| Number | 0.457592 |
| Hospital Ambulatory Medical | 0.687021 |
| KB | 0.484066 |
| mammogram | 0.453904 |
| National Ambulatory Medical | 0.700324 |
|
| National Summary Tables | 0.67486 |
| race | 0.466684 |
| Five-year relative cancer | 0.679168 |
| Health | 0.497827 |
| Percent | 0.440005 |
| Hispanic origin | 0.671065 |
| sex | 0.446634 |
| breast cancer | 0.54384 |
| selected cancer sites | 0.830175 |
| hospital outpatient department | 0.682048 |
| Medical Care Survey | 0.95054 |
| Summary Tables | 0.701974 |
|
CLICK HERE |