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Commute times, food retail gaps, and body mass index in North Carolina counties |
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| North Carolina | 0.448328 |
| commute time | 0.390185 |
| rural residents | 0.380633 |
| North Carolina Department | 0.21281 |
| special food services | 0.206743 |
| county-level independent variables | 0.201504 |
| county-level food sales | 0.226185 |
| individual-level bmi | 0.282425 |
| county-level variables | 0.21118 |
| mean county-level commute | 0.262666 |
| county-level BMI | 0.272693 |
| county-level mean BMI | 0.318146 |
| longer commute times | 0.221117 |
| BMI | 0.325295 |
| average commute time | 0.208621 |
|
| drinking places | 0.245558 |
| commute times | 0.635556 |
| NAICS code | 0.211841 |
| specialty food stores | 0.222786 |
| county-level sales | 0.221783 |
| food retail gap | 0.925332 |
| county-level retail sales | 0.206841 |
| county-level commute time | 0.290969 |
| North Carolina counties | 0.274497 |
| county-level commute times | 0.355083 |
| food retail gaps | 0.320831 |
| county-level diversity index | 0.20896 |
| county-level demand | 0.231366 |
| capita | 0.273709 |
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Heart Disease Home Page |
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| CDC VITAL SIGNS | 0.651046 |
| coronary artery disease | 0.647238 |
| common type | 0.461966 |
| pharmacist | 0.377175 |
| key scientific papers | 0.586648 |
| Heart Disease Quiz | 0.679848 |
| health outcomes | 0.463482 |
| health disparities | 0.463387 |
| sodium reduction | 0.709738 |
| organ function | 0.450382 |
| New research | 0.447712 |
| 6-question quiz | 0.447915 |
| blood pressure | 0.552757 |
| risk factors | 0.451918 |
| Key Scientific Abstracts | 0.589311 |
| Healthy Heart Podcast | 0.626317 |
| Added Sugar Intake | 0.607638 |
| CAD | 0.3477 |
| Internal Medicine | 0.447368 |
| health care costs | 0.583879 |
| blood cholesterol | 0.491187 |
| scientific studies | 0.455335 |
| CDC’s Division | 0.466576 |
| new data | 0.477416 |
|
| public health strategies | 0.59782 |
| heart health | 0.52403 |
| heart disease death | 0.669 |
| heart attack | 0.525719 |
| Science Behind Sodium | 0.50787 |
| United States | 0.462157 |
| vaccines | 0.373252 |
| dietary sodium | 0.504425 |
| adults | 0.359094 |
| heart-healthy living | 0.460159 |
| cardiac arrest | 0.787346 |
| STROKE DEATHS Access | 0.659088 |
| wide sodium reduction | 0.64476 |
| lifestyle changes | 0.453679 |
| heart disease | 0.968877 |
| American Heart | 0.505078 |
| key papers | 0.453559 |
| main types | 0.467425 |
| Stroke Prevention | 0.46831 |
| CDC scientists | 0.47222 |
| U.S. The risk | 0.451835 |
| Dr. Derrick Gervin | 0.584734 |
| cardiovascular diseases | 0.837291 |
| Cardiovascular Diseases Mortality | 0.825583 |
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H3N2v Update: New Cases Reported, Limited Person-to-Person Transmission Detected - Seasonal Influenza (Flu) |
H3N2v Update: New Cases Reported, Limited Person-to-Person Transmission Detected - CDC |
| CDC | 0.801656 |
| H3N2v | 0.885172 |
| fair settings | 0.540772 |
| pig exposure | 0.660815 |
| pigs | 0.911269 |
| Disease Control | 0.550783 |
| high risk patients | 0.631542 |
| relatively long period | 0.66244 |
| human-to-human transmission | 0.537522 |
| additional cases | 0.573199 |
| pandemic M gene | 0.536254 |
| seasonal influenza | 0.533171 |
| likely human-to-human spread | 0.738264 |
| live animal market | 0.658207 |
| additional people | 0.55555 |
| H3N2v case count | 0.681863 |
| seasonal flu | 0.624698 |
| high risk | 0.751039 |
| Bresee notes | 0.643059 |
| household contacts | 0.534993 |
| main risk factor | 0.678984 |
| new cases | 0.561733 |
| prolonged contact | 0.533519 |
| High risk factors | 0.627916 |
|
| United States | 0.559283 |
| potential person-to-person transmission | 0.663614 |
| H3N2v cases | 0.611761 |
| H3N2 variant virus | 0.74487 |
| respiratory viruses | 0.555609 |
| virus | 0.777798 |
| rapid antiviral treatment | 0.633638 |
| Dr. Bresee | 0.680186 |
| CDC’s Influenza | 0.652579 |
| limited human-to-human spread | 0.921295 |
| H3N2v infection | 0.651781 |
| variant viruses | 0.706953 |
| total number | 0.557038 |
| sheet entitled Issues | 0.630804 |
| cases | 0.731762 |
| initial infection | 0.537546 |
| H3N2v viruses | 0.597087 |
| people | 0.714725 |
| Dr. Joseph Bresee | 0.80304 |
| Cumulative totals | 0.540502 |
| influenza viruses | 0.57173 |
| Prevention Branch | 0.541139 |
| current outbreaks | 0.555842 |
| likely person-to-person | 0.694765 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0039 |
CDC - Wide Page example description goes here |
| comunidades mi’kmaq | 0.938716 |
| jóvenes aborigen | 0.770394 |
| fuerte deseo | 0.725744 |
| juventud aborigen | 0.807049 |
|
| Cabo Bretón | 0.753855 |
| frÃo extremo | 0.737748 |
| comunidad mi’kmaq | 0.711291 |
| Estados Unidos | 0.7124 |
|
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Eficacia del programa de control y prevención de enfermedades crónicas "Pasos Adelante" en una comunidad en la frontera de EE. UU. y México, 2005-2008 |
CDC - Wide Page example description goes here |
| Hispanic border population | 0.304356 |
| Pasos Adelante | 0.975085 |
| Prev Med | 0.313389 |
| Human Kinetic Books | 0.30386 |
| US Census Bureau | 0.30393 |
| seguro médico | 0.313236 |
| programa pasos | 0.309762 |
| Mexican Americans | 0.306861 |
| Level Beam Scale | 0.304241 |
| Vital Statistics Reports | 0.303871 |
| altas hospitalarias | 0.307345 |
| diabetes with | 0.307888 |
| obesity among us | 0.304276 |
| United States-Mexico border | 0.304297 |
| Estados Unidos | 0.305719 |
| Health Care Poor | 0.305117 |
| lifestyle interventions | 0.307718 |
| Obes Relat Metab | 0.303945 |
| community health | 0.307686 |
| US-Mexico border community | 0.305877 |
| Flegal KM | 0.307515 |
| among subjects with | 0.304446 |
| chronic disease prevention | 0.316108 |
| caracterÃsticas demográficas | 0.307904 |
| United States | 0.306574 |
|
| successful community coalition-university | 0.304377 |
| Douglas community health | 0.306307 |
| alto riesgo | 0.307144 |
| Curtin LR | 0.306973 |
| diabetes mellitus | 0.307457 |
| disease risk | 0.306889 |
| Community Health Partnersh | 0.305533 |
| Ogden CL | 0.306699 |
| salud community outreach | 0.305147 |
| Salud Pública | 0.313917 |
| diabetes tipo | 0.308596 |
| Cardinal Scale Manufacturing | 0.304075 |
| health care | 0.307334 |
| antecedentes familiares | 0.306077 |
| Diabetes Care | 0.308115 |
| Carroll MD | 0.3061 |
| Stewart R | 0.306657 |
| control among mexican | 0.30473 |
| An ecological perspective | 0.304254 |
| physical activity | 0.306998 |
| Zapien J | 0.30577 |
| Rev Panam Salud | 0.304821 |
| Womens Health | 0.303867 |
| Diabetes Prevention Program | 0.309503 |
|
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U.S. safer when CDC works with other countries to fight infectious diseases | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Centers | 0.257107 |
| media availability | 0.502096 |
| Non-Media | 0.32124 |
| Tom Frieden | 0.587241 |
| telebriefing | 0.258489 |
| M.D. | 0.257305 |
| Projects | 0.259417 |
| historical purposes | 0.58575 |
| nations | 0.258985 |
| briefing | 0.272182 |
| navigation Skip | 0.8239 |
| transcript | 0.327046 |
| world | 0.257795 |
| Disease Control | 0.523694 |
| CDC MEDIA | 0.595139 |
| U.S. DEPARTMENT | 0.508724 |
| M.P.H. | 0.257239 |
| PASSCODE | 0.312255 |
| model | 0.31623 |
|
| ET) | 0.555678 |
| press | 0.297378 |
| Important Instructions | 0.535898 |
| International | 0.259182 |
| disease detection | 0.530969 |
| website | 0.265469 |
| list Skip | 0.825499 |
| question | 0.393095 |
| page options Skip | 0.935597 |
| Africa | 0.259284 |
| Director | 0.257173 |
| touchtone phone | 0.557118 |
| Thursday | 0.260123 |
| infectious disease | 0.535526 |
| Asia | 0.259351 |
| response | 0.258225 |
| HUMAN SERVICES | 0.507782 |
| greater health security | 0.825374 |
|
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CDC Spokesperson | CDC Newsroom | CDC |
The CDC Spokespersons section provides information for journalists on CDC experts who often speak to the press |
| States Public Health | 0.90186 |
| medical epidemiologist | 0.640058 |
| people’s lives | 0.624825 |
| CDC experts | 0.760855 |
| Associate Director | 0.85009 |
| High Consequence Pathogens | 0.747329 |
| Michael J. Beach | 0.756184 |
| Disease Control | 0.963296 |
| MD | 0.647527 |
| ebola response | 0.779804 |
| Zoonotic Infectious Diseases | 0.763681 |
| Daniel B. Jernigan | 0.754231 |
| Inger K. Damon | 0.752556 |
| United States Public | 0.89874 |
| National Center | 0.972071 |
| Jennifer McQuiston | 0.63522 |
| Media Relations | 0.639406 |
| USPHS | 0.708027 |
| Associated Infection Prevention | 0.746947 |
| Chief Medical Officer | 0.738475 |
| Influenza Division | 0.661265 |
| incident commander | 0.626981 |
| health communication | 0.64969 |
| Respiratory Diseases | 0.632363 |
| CDC’s Ebola | 0.749587 |
|
| Stephen Redd | 0.626958 |
| Medical Care Task | 0.748969 |
| Branch Chief | 0.635182 |
| EIS Program | 0.626523 |
| Injury Prevention | 0.658047 |
| CDC Spokespersons section | 0.899094 |
| Debra E. Houry | 0.739895 |
| social marketing principles | 0.730447 |
| various fields | 0.647989 |
| Healthcare Quality Promotion | 0.956987 |
| trained CDC employees | 0.875676 |
| Michael Bell | 0.631659 |
| public health | 0.926768 |
| John T. Brooks | 0.744348 |
| Healthy Water | 0.630927 |
| High-Consequence Pathogens | 0.647054 |
| Daniel Sosin | 0.644276 |
| Public Health Preparedness | 0.900051 |
| HIV/AIDS Prevention | 0.658979 |
| Arjun Srinivasan | 0.641249 |
| Katherine Lyon Daniel | 0.737955 |
| Public Health Service | 0.901752 |
| Deputy Director | 0.871153 |
| Epidemiology Workforce Branch | 0.72388 |
|
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Information for Health Care Workers | Rat-bite Fever (RBF) |CDC |
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| Spirillum minus | 0.592867 |
| diagnosis assistance | 0.349598 |
| gram-negative microaerophilic bacillus | 0.590191 |
| pleomorphic gram-negative bacilli | 0.529052 |
| North America | 0.383047 |
| rodent exposure | 0.380331 |
| rat-bite fever | 0.524699 |
| Recent case reports | 0.472357 |
| severe nausea/vomiting | 0.36162 |
| RBF | 0.992699 |
| characteristic spirochetes | 0.364356 |
| Streptobacillus moniliformis | 0.566834 |
| body fluids | 0.348574 |
| infected rodent | 0.408287 |
| incidence rates | 0.357316 |
| preliminary diagnosis | 0.352634 |
| state public health | 0.46335 |
| maculopapular rash | 0.402834 |
| distinct rash | 0.394079 |
| Person-to-person transmission | 0.374664 |
| nationally notifiable disease | 0.47721 |
| normal respiratory flora | 0.519663 |
| United States | 0.345649 |
| natural reservoir | 0.364429 |
| appropriate specimens | 0.464556 |
|
| Haverhill fever | 0.754032 |
| rodent species | 0.397142 |
| S. moniliformis | 0.937049 |
| Accurate data | 0.346047 |
| incubation period | 0.378627 |
| differential stains | 0.34583 |
| motile spirochete | 0.413623 |
| S. minus | 0.420297 |
| incubation conditions | 0.362119 |
| fever onset | 0.478596 |
| red plaques | 0.353843 |
| potential risk | 0.34816 |
| untreated RBF | 0.69899 |
| common symptoms | 0.361821 |
| mortality rate | 0.348635 |
| Following partial healing | 0.476928 |
| positive culture | 0.34776 |
| disease incidence | 0.356641 |
| rat bite | 0.361391 |
| synovial fluid | 0.351658 |
| Initial symptoms | 0.366155 |
| infected animal | 0.365841 |
| specific media | 0.349932 |
| darkfield microscopy | 0.343958 |
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Vaccines: VPD-VAC/Pneumo/In-Short |
Pneumococcal In Short: Description, Symptoms, Complications, Transmission, Vaccine, etc. |
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State Tobacco Control Program Spending - United States,2011 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| smokeless tobacco advertising | 0.511088 |
| tobacco tax revenues | 0.516013 |
| tobacco-related health care | 0.456133 |
| community interventions | 0.500333 |
| program component | 0.485308 |
| state general funds | 0.462764 |
| expenditure data | 0.473968 |
| cessation interventions | 0.500621 |
| tobacco control programs | 0.918232 |
| funding levels | 0.472214 |
| additional state experiences | 0.463451 |
| cigarette excise taxes | 0.477402 |
| direct expenditures | 0.455119 |
| comprehensive tobacco control | 0.758569 |
| tobacco prevention | 0.699422 |
| substantial state government | 0.456275 |
| tobacco products | 0.51702 |
| state cigarette excise | 0.463366 |
| health communication | 0.484788 |
| Best Practices | 0.550417 |
| statewide tobacco control | 0.550084 |
| tobacco control landscape | 0.538647 |
| relevant state organizations | 0.463778 |
| tobacco control funding | 0.557397 |
| United States | 0.531525 |
|
| State Public Health | 0.461479 |
| state investments | 0.45453 |
| states | 0.585742 |
| health communication interventions | 0.474794 |
| overall expenditures | 0.459412 |
| tobacco-related disease | 0.456216 |
| tobacco taxes | 0.486151 |
| 50 states | 0.543577 |
| state tobacco control | 0.705126 |
| Best Practices levels | 0.454225 |
| tobacco industry master | 0.516941 |
| tobacco control expenditures | 0.598404 |
| tobacco control program | 0.583771 |
| evidence-based state tobacco | 0.546182 |
| tobacco control policies | 0.524162 |
| control funding data | 0.462291 |
| tobacco companies | 0.490508 |
| smokeless tobacco | 0.535285 |
| control activities | 0.495836 |
| funding tobacco prevention | 0.529955 |
| recommended state funding | 0.477373 |
| capita expenditures | 0.466086 |
| evidence-based interventions | 0.462709 |
| tobacco control | 0.968064 |
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