| 4971 |
Centers for Disease Control and Prevention |
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A comparison of depression and mental distress indicators, Rhode Island Behavioral Risk Factor Surveillance System, 2006 |
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| Island BRFSS data | 0.388599 |
| Risk Factor Surveillance | 0.543902 |
| mental distress | 0.747927 |
| clinical depression disorders | 0.412577 |
| HRQOL module | 0.403857 |
| mental health | 0.424771 |
| Alpert Medical School | 0.37786 |
| logistic regression | 0.396554 |
| Mental Health Data | 0.375717 |
| major depression | 0.408688 |
| Rhode Island adults | 0.414316 |
| higher depression rates | 0.400735 |
| Rhode Island Department | 0.462664 |
| severe depression | 0.387182 |
| mild depression | 0.387537 |
| population prevalence estimates | 0.389785 |
| Factor Surveillance System. | 0.38059 |
| mental health items | 0.375608 |
| PHQ-2 | 0.429454 |
| Behavioral Risk Factor | 0.542364 |
| depression prevalence | 0.528672 |
| Rhode Island cities | 0.406321 |
| health risk variables | 0.41671 |
| PHQ-8 current depression | 0.434619 |
| depression severity | 0.453782 |
|
| depression severity status | 0.406988 |
| patient health questionnaire | 0.452369 |
| PHQ-8 | 0.504674 |
| risk variables | 0.4784 |
| prevalence estimates | 0.476066 |
| Rhode Island BRFSS | 0.494286 |
| 10-question depression | 0.392903 |
| current depression | 0.538554 |
| Island Behavioral Risk | 0.446158 |
| logistic regression modeling | 0.391343 |
| mental distress estimates | 0.390717 |
| Rhode Island | 0.94576 |
| multivariable logistic regression | 0.394724 |
| HRQOL indicators | 0.42631 |
| mental distress indicators | 0.432732 |
| frequent mental distress | 0.744322 |
| Rhode Island Behavioral | 0.45322 |
| BRFSS HRQOL indicators | 0.385034 |
| depression indicators | 0.402245 |
| Jana Earl Hesser | 0.397057 |
| Warren Alpert Medical | 0.376019 |
| depression prevalence estimates | 0.451383 |
| mental distress questions | 0.388574 |
| depression | 0.706532 |
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| 5062 |
Centers for Disease Control and Prevention |
Html |
en |
Virtual Community Reception Center (vCRC) |
Virtual Community Reception Center (vCRC) |
| TCEOnline CE activities | 0.639797 |
| financial interests | 0.529756 |
| CDC’s CE | 0.589757 |
| National Commission | 0.533504 |
| ANSI/IACET CEU | 0.548559 |
| community reception centers | 0.702728 |
| program | 0.578264 |
| unique training experience | 0.673962 |
| planners | 0.470831 |
| Launch vCRC | 0.571476 |
| commercial supporters | 0.528929 |
| Accreditation Council | 0.543229 |
| crucial role | 0.561612 |
| Disease Control | 0.922716 |
| mass casualty radiation | 0.694419 |
| commercial services | 0.534613 |
| total Category | 0.528141 |
| self-paced program | 0.569726 |
| American Nurses | 0.533212 |
| educational activity | 0.628549 |
| interactive process flow | 0.674579 |
| education contact | 0.742402 |
| web-based training tool | 0.677503 |
| Master Certified Health | 0.653347 |
|
| on-going transcript | 0.526907 |
| commercial products | 0.534748 |
| Authorized Provider | 0.539765 |
| Old Meadow Road | 0.648729 |
| population monitoring | 0.550837 |
| AMA PRA Category | 0.658212 |
| commercial support | 0.536209 |
| International Association | 0.537132 |
| Radiation Studies Branch | 0.672019 |
| video segments | 0.546451 |
| Certified Health Education | 0.831403 |
| potential CRC staff | 0.684209 |
| Prevention | 0.49132 |
| radioactive material | 0.558417 |
| Health Education Specialists | 0.831317 |
| CDC provider number | 0.707363 |
| Health Education Credentialing | 0.718043 |
| public health | 0.571752 |
| level continuing education | 0.729725 |
| Continuing Nursing Education | 0.74691 |
| simulated 3-D environment | 0.668644 |
| Continuing Medical Education | 0.75428 |
| Virtual Community Reception | 0.675647 |
| program information | 0.5494 |
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Centers for Disease Control and Prevention |
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2-Ethoxyethanol - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 6029 |
Centers for Disease Control and Prevention |
Html |
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Fensulfothion - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 6453 |
Centers for Disease Control and Prevention |
Html |
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A twist on gift-giving this season could change hearts - Press Release: November 3, 2011 |
New Million Hearts tools announced by partners |
| heart attacks | 0.437895 |
| major risk factors | 0.398121 |
| heart attack | 0.268292 |
| key private organizations | 0.400078 |
| health threats | 0.289384 |
| United States | 0.452372 |
| online postcards | 0.294788 |
| high cholesterol | 0.280469 |
| executive director | 0.298836 |
| adequate treatment | 0.272289 |
| ABCS | 0.247708 |
| national Million Hearts | 0.987704 |
| Janet Wright | 0.28861 |
| perfect gift | 0.295572 |
| health-related e-cards | 0.283462 |
| public-private initiative | 0.263626 |
| Greater attention | 0.261756 |
| heart disease | 0.593641 |
| U.S. DEPARTMENT | 0.262377 |
| cholesterol management | 0.279221 |
| holiday season | 0.304374 |
| federal agencies | 0.264038 |
| visit http://millionhearts.hhs.gov/index.shtml | 0.262408 |
|
| public health | 0.284744 |
| health care | 0.282891 |
| daily aspirin | 0.28735 |
| digital post card | 0.435761 |
| cardiovascular disease | 0.576029 |
| Million Hearts initiative | 0.773326 |
| saving lives | 0.259693 |
| good health | 0.331412 |
| Americans | 0.201114 |
| human services | 0.395793 |
| productive lives. | 0.268741 |
| blood pressure control | 0.693235 |
| people | 0.361096 |
| stroke | 0.255971 |
| little twist | 0.300155 |
| it—your health matters. | 0.461312 |
| secure nation. | 0.266882 |
| highest risk | 0.2676 |
| smoking cessation | 0.2696 |
| gift givers | 0.303745 |
| Million Hearts initiative. | 0.789158 |
| care teams | 0.263812 |
|
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| 6521 |
Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables - December 23, 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 | 0.634946 |
| Mortality Tables | 0.487641 |
| equine encephalitis virus | 0.557344 |
| Mortality Weekly Report | 0.486373 |
| Viral hemorrhagic fever¶¶¶ | 0.478256 |
| provisional cases | 0.59313 |
| Hantavirus pulmonary syndrome§ | 0.481034 |
| Staphylococcus aureus§ | 0.480225 |
| New York City | 0.472107 |
| acute hepatitis | 0.497575 |
| 2011-12 influenza season | 0.485176 |
| Cum | 0.477652 |
| noncholera Vibrio species | 0.47925 |
| influenza A virus | 0.486679 |
| National Center | 0.542081 |
| CDC Home CDC | 0.490031 |
| Hemolytic uremic syndrome | 0.481678 |
| California serogroup virus | 0.499025 |
| meningococcal disease | 0.549918 |
| historical data | 0.518031 |
| Influenza Division | 0.476289 |
| Ñ?ЛП
Notifiable Diseases | 0.514957 |
| Cumulative year-to-date counts | 0.476492 |
| 2009 pandemic | 0.506028 |
|
| Respiratory Diseases | 0.473639 |
| NN | 0.994035 |
| United States | 0.724787 |
| Vancomycin-resistant Staphylococcus aureus§ | 0.47722 |
| novel influenza | 0.522921 |
| I. Provisional cases | 0.507853 |
| 5-year weekly average†| 0.491584 |
| notifiable diseases | 0.674203 |
| Vancomycin-intermediate Staphylococcus aureus§ | 0.477007 |
| Eastern equine encephalitis | 0.487212 |
| pandemic influenza | 0.508858 |
| Influenza-associated pediatric mortality§ | 0.477359 |
| viral hemorrhagic fever | 0.473005 |
| Western equine encephalitis | 0.486872 |
| Polio virus Infection | 0.480779 |
| Total case counts | 0.47311 |
| notifiable disease reports | 0.623873 |
| current 4-week total | 0.488503 |
| Vector-Borne Infectious Diseases | 0.479926 |
| Chlamydia trachomatis infection | 0.47269 |
| TABLE I. | 0.488541 |
| dengue hemorrhagic fever | 0.474849 |
| subsequent 4-week periods | 0.483743 |
| West Nile virus | 0.479079 |
|
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| 9603 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Weight Status and Weight-Management Behaviors Among Philadelphia High School Students, 2007"2011 - CDC |
The prevalence of obesity among youth may be stabilizing and even declining in some areas of the United States. The objective of our study was to examine whether the stabilization in obesity prevalence among Philadelphia high school students was accompanied by changes in weight-management behaviors. |
| healthful weight-loss behaviors | 0.424165 |
| obesity rates | 0.461764 |
| data | 0.388505 |
| normal-weight male students | 0.388237 |
| vegetable consumption | 0.407283 |
| childhood obesity epidemic | 0.387788 |
| obese students | 0.44169 |
| weight- management behaviors | 0.402848 |
| significant differences | 0.439375 |
| self-reported weight status | 0.388787 |
| Risk Behavior Survey | 0.407427 |
| obese male students | 0.398599 |
| healthful weight management | 0.430671 |
| youth obesity epidemic | 0.384108 |
| poor weight-management behaviors | 0.390081 |
| youth obesity rates | 0.387945 |
| Youth Risk Behavior | 0.455838 |
| obesity prevalence | 0.41374 |
| health care professionals | 0.38414 |
| healthful weight-related behaviors | 0.39418 |
| extreme weight-management | 0.473217 |
| male students | 0.575613 |
| healthful weight-management behaviors | 0.453036 |
| study period | 0.443437 |
| overweight students | 0.389155 |
|
| obese female students | 0.401418 |
| regular physical activity | 0.390657 |
| in-weight management behaviors | 0.383026 |
| weight-management behaviors | 0.779059 |
| female students | 0.641976 |
| multivariable regression models | 0.402756 |
| United States | 0.416395 |
| significant changes | 0.382422 |
| television viewing | 0.381225 |
| diet pills | 0.415279 |
| extreme weight-management strategies | 0.446755 |
| overweight | 0.436195 |
| public health | 0.516529 |
| normal-weight female students | 0.391045 |
| community-based obesity prevention | 0.376659 |
| high school students | 0.921009 |
| physical activity | 0.686083 |
| Philadelphia high school | 0.45523 |
| extreme weight-management behaviors | 0.469876 |
| public health efforts | 0.398328 |
| childhood obesity | 0.487032 |
| screen time | 0.473055 |
| youth health behaviors | 0.400701 |
| weight perception | 0.40276 |
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Centers for Disease Control and Prevention |
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Illinois resident who had contact with Indiana MERS patient tests positive for MERS coronavirus | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| active infection | 0.593678 |
| CDC | 0.696344 |
| Respiratory Syndrome Coronavirus | 0.774731 |
| Indiana hospital | 0.583224 |
| apparent past MERS-CoV | 0.784276 |
| respiratory sample | 0.583181 |
| previously reported Indiana | 0.660317 |
| Illinois Department | 0.574049 |
| new information | 0.631036 |
| Ongoing investigation | 0.577082 |
| health care work | 0.629593 |
| CDC travel notice | 0.652007 |
| Indiana State Department | 0.622809 |
| Indiana MERS patient | 0.82993 |
| active MERS-CoV infection | 0.662488 |
| public health officials | 0.823997 |
| local health experts | 0.643066 |
| Illinois man | 0.591843 |
| MERS follow-up investigation | 0.680919 |
| person | 0.585593 |
| East Respiratory Syndrome | 0.765685 |
| CDC officials | 0.623472 |
| David Swerdlow | 0.575936 |
| late night | 0.574804 |
| Arabian Peninsula | 0.750969 |
|
| United States | 0.726522 |
| past MERS-CoV infection | 0.793363 |
| infection control | 0.583809 |
| large-scale multistate investigations | 0.626388 |
| laboratory test results | 0.734488 |
| Saudi Arabia | 0.64322 |
| local health department | 0.642057 |
| severe acute respiratory | 0.620257 |
| CDC’s recommendations | 0.601584 |
| close contact | 0.709465 |
| local health | 0.694316 |
| Illinois resident | 0.98191 |
| current recommendations | 0.57408 |
| U.S. resident | 0.604061 |
| Middle East Respiratory | 0.765715 |
| Indiana patient | 0.694717 |
| blood test | 0.576992 |
| everyday preventive actions | 0.614464 |
| local health officials | 0.668834 |
| medical care | 0.578454 |
| people | 0.576637 |
| MERS-CoV infection | 0.878575 |
| close contacts | 0.632837 |
| main ways | 0.574868 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Hypertension Prevalence, Awareness, Treatment, and Control and Sodium Intake in Shandong Province, China: Baseline Results From Shandong"Ministry of Health Action on Salt Reduction and Hypertension (SMASH), 2011 - CDC |
In China, population-based blood pressure levels and prevalence of hypertension are increasing. Meanwhile, sodium intake, a major risk factor for hypertension, is high. In 2011, to develop intervention priorities for a salt reduction and hypertension control project in Shandong Province (population 96 million), a cross-sectional survey was conducted to collect information on sodium intake and hypertension prevalence, awareness, treatment, and control. |
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Centers for Disease Control and Prevention |
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As West Africa Ebola outbreak worsens, CDC issues Level 3 Travel Warning | Press Release | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| travel warning | 0.420078 |
| CDC | 0.996964 |
| M.D. | 0.231811 |
| affected countries | 0.363699 |
| Health Alert Notice | 0.516994 |
| complex Ebola outbreak | 0.69266 |
| ongoing efforts | 0.40369 |
| partner countries | 0.358544 |
| infectious disease threats | 0.505344 |
| Ebola outbreak | 0.719888 |
| direct contact | 0.369679 |
| education efforts | 0.384337 |
| disease control | 0.562121 |
| infected secretions | 0.390127 |
| reflection | 0.232549 |
| lives | 0.2319 |
| CDC Director Tom | 0.813183 |
| history | 0.232089 |
| expensive way | 0.374601 |
| ill travelers | 0.408435 |
| West African nations | 0.578523 |
| ground | 0.263577 |
| Level | 0.234636 |
| outbreaks | 0.27781 |
| region | 0.301242 |
|
| global health security | 0.510821 |
| intentional release | 0.369085 |
| active screening | 0.375955 |
| Centers | 0.235037 |
| U.S. healthcare workers | 0.519526 |
| people’s health | 0.371069 |
| United States | 0.367614 |
| Sierra Leone | 0.407103 |
| Prevention | 0.235 |
| sick travelers | 0.3956 |
| remote possibility | 0.378907 |
| M.P.H | 0.244377 |
| current outbreak | 0.419321 |
| stronger systems | 0.388168 |
| symptomatic person | 0.372422 |
| bodily fluids | 0.374407 |
| staff | 0.232362 |
| CDC disease detectives | 0.833488 |
| nonessential travel | 0.405741 |
| President’s FY | 0.377476 |
| additional disease control | 0.547011 |
| spread | 0.263006 |
| ill passengers | 0.531676 |
| Liberia | 0.244389 |
|
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