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Centers for Disease Control and Prevention |
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FluView Influenza-Like Illness Activity iPhone App |
FluView iPhone Application. Explore Influenza-Like Illness (ILI) Activity Levels across the US - CDC |
| patient visits | 0.662065 |
| jurisdiction | 0.450027 |
| FluView surveillance components | 0.811443 |
| Illness Surveillance Network | 0.818631 |
| ILI activity levels | 0.967716 |
| average percent | 0.67531 |
| influenza virus circulation | 0.800444 |
| outpatient visits | 0.733595 |
| U.S. Outpatient Influenza-like | 0.812833 |
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| application | 0.459351 |
| ILINet | 0.452647 |
| https://www.cdc.gov/flu/weekly/overview.htm#Outpatient | 0.428507 |
| U.S. Virgin Islands | 0.731311 |
| ILI visits | 0.888856 |
| information | 0.453608 |
| health care providers | 0.73176 |
| District | 0.427521 |
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Poison Center and Public Health Collaborations Community of Practice - Understanding Chemical Exposures |
Poison Center and Public Health Collaborations Community of Practice (CoP) |
| Poison Control Center | 0.56129 |
| Center Data Assessment | 0.381201 |
| Environmental Health Section | 0.380547 |
| Health Sciences Center | 0.43343 |
| Virginia Poison Center | 0.558868 |
| Health Studies Branch | 0.569268 |
| California Poison Control | 0.519481 |
| illness surveillance | 0.367541 |
| Opioid Surveillance Webinar | 0.389653 |
| public health surveillance | 0.527219 |
| Poison Information Center | 0.531997 |
| Rocky Mountain Poison | 0.595775 |
| Health Care Burden | 0.37733 |
| Occupational Health | 0.363262 |
| Medical Toxicology | 0.354829 |
| Unintentional Injury Prevention | 0.39173 |
| Community Health Investigation | 0.3819 |
| CDC EIS Officer | 0.329595 |
| Department (TCHD) | 0.414548 |
| Poison Control Centers | 0.604061 |
| public health collaborations | 0.561845 |
| CDC Epidemic Intelligence | 0.338143 |
| Medical Director | 0.328959 |
| Center Executive Director | 0.3701 |
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| Poison Control | 0.691915 |
| Public Health Collaboration | 0.525575 |
| Poison Center Data | 0.654218 |
| Tennessee Poison Control | 0.539928 |
| public health support | 0.40621 |
| Studies Branch CDC | 0.331279 |
| National Poison Data | 0.497193 |
| Ridge Poison Center | 0.548312 |
| poison centers | 0.729699 |
| Syndromic Surveillance Case | 0.376627 |
| public health | 0.808695 |
| Health Collaboration CoP | 0.445589 |
| Health Collaborations Community | 0.378141 |
| Drug Center | 0.341978 |
| Health Departments | 0.341375 |
| Public Health Associate | 0.4066 |
| Health Surveillance Program | 0.436717 |
| Health ESSENCE-PIC Project | 0.373341 |
| federal public health | 0.46065 |
| Time Poison Center | 0.525665 |
| Poison Center | 0.92977 |
| Poison Center Response | 0.567554 |
| Michigan Poison Center | 0.5338 |
| Syndromic Surveillance Epidemiologist | 0.37252 |
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Preventing Chronic Disease | Prevalence of Multiple Chronic Conditions Among US Adults: Estimates From the National Health Interview Survey, 2010 - CDC |
Preventing and ameliorating chronic conditions has long been a priority in the United States; however, the increasing recognition that people often have multiple chronic conditions (MCC) has added a layer of complexity with which to contend. The objective of this study was to present the prevalence of MCC and the most common MCC dyads/triads by selected demographic characteristics. |
| common MCC combinations | 0.727186 |
| private coverage | 0.657967 |
| MCC dyad | 0.777939 |
| higher prevalence | 0.69367 |
| lower prevalence | 0.577134 |
| significant differences | 0.599981 |
| National Health Interview | 0.585029 |
| multiple chronic conditions | 0.595952 |
| non-Hispanic black women | 0.659075 |
| population subgroups | 0.578035 |
| common MCC triad | 0.673916 |
| MCC dyads | 0.759621 |
| prevalent MCC combinations | 0.671935 |
| prevalent MCC dyad | 0.693543 |
| MCC prevalences | 0.646758 |
| Hispanic adults | 0.589071 |
| common MCC dyad | 0.701321 |
| Sample Adult Core | 0.657473 |
| health insurance coverage | 0.663022 |
| non-Hispanic black adults | 0.642331 |
| Health Interview Survey | 0.585077 |
| Sample Child Core | 0.577076 |
| arthritis | 0.576102 |
| prevalent MCC | 0.720958 |
| common MCC dyads/triads | 0.709707 |
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| non-Hispanic black men | 0.655229 |
| common MCC | 0.840451 |
| obstructive pulmonary disease | 0.579521 |
| NHIS | 0.642368 |
| United States | 0.591864 |
| age group | 0.634161 |
| adults | 0.700084 |
| common MCC dyads | 0.726115 |
| MCC research | 0.685889 |
| prevalent MCC triads | 0.680982 |
| prevalence | 0.810165 |
| prevalent MCC dyads | 0.680164 |
| HHS MCC framework | 0.672891 |
| non-Hispanic white adults | 0.618212 |
| MCC patterns | 0.65253 |
| civilian noninstitutionalized population | 0.575787 |
| adult population | 0.58268 |
| MCC | 0.974865 |
| chronic conditions | 0.829323 |
| non-hispanic white men | 0.605949 |
| Non-Hispanic Asian/Pacific Islander | 0.57653 |
| non-Hispanic white women | 0.638085 |
| coronary heart disease | 0.617862 |
| non-hispanic american indian/alaska | 0.615097 |
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Centers for Disease Control and Prevention |
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Identificación y asignación de ahorros por las mejoras en la calidad y la eficacia de la atención médica |
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Centers for Disease Control and Prevention |
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Making Food Safer to Eat - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| MPEG | 0.276361 |
| PDF | 0.201634 |
| PPT | 0.326381 |
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| email address | 0.716575 |
| DOC | 0.270026 |
| different file formats | 0.90859 |
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Centers for Disease Control and Prevention |
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Developing an Organizational Plan |
Every organization involved in health information and services needs its own health literacy plan. It is essential that the steps to developing an organizational plan are coordinated and strategic to improve health literacy. The National Action Plan to Improve Health Literacy is a helpful framework and model to change organizational and professional practices. |
| Disease Prevention | 0.349484 |
| successful planning | 0.345471 |
| strong advocates | 0.347073 |
| HHS Office | 0.349894 |
| Adult Literacy | 0.388124 |
| core work group | 0.378895 |
| planning process | 0.425558 |
| health information | 0.412348 |
| slightly different perspectives | 0.379002 |
| pages | 0.364037 |
| Health Promotion | 0.362083 |
| plan | 0.816697 |
| powerful voice | 0.344359 |
| organization health literate | 0.396168 |
| issue overview | 0.369861 |
| professional practices | 0.425718 |
| new employee orientation | 0.373648 |
| low literacy | 0.389673 |
| health literacy | 0.937972 |
| easy-to-use workbook | 0.381104 |
| success | 0.359056 |
| Allies | 0.348029 |
| second-language course | 0.344939 |
| buy-in include | 0.34675 |
| sample action plan | 0.419602 |
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| helpful framework | 0.344027 |
| individuals/staff watch videos | 0.377677 |
| plan development | 0.360886 |
| organizational practices | 0.375503 |
| imperative health organizations | 0.404794 |
| organizational plan | 0.399322 |
| broad group | 0.344546 |
| organizational components | 0.35042 |
| health literacy efforts | 0.429358 |
| organizational change | 0.349005 |
| limited health literacy | 0.439315 |
| multiple stakeholders | 0.382067 |
| Multiple assessment tools | 0.37627 |
| day-to-day planning | 0.345674 |
| organizational practice | 0.344279 |
| senior leader | 0.373236 |
| little value | 0.34388 |
| advocates | 0.368302 |
| honest assessment | 0.38013 |
| people | 0.35096 |
| Champions | 0.352572 |
| action steps | 0.373022 |
| organization | 0.534409 |
| National Action Plan | 0.531224 |
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Centers for Disease Control and Prevention |
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Low Sodium Quick Tips (570W x 363H) |
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Centers for Disease Control and Prevention |
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Preventing Heart Disease If You have Other Medical Conditions |
Help prevent heart disease by working with your doctor to control other health conditions, like diabetes, high cholesterol, and high blood pressure. |
| blood pressure | 0.812465 |
| good control—those actions | 0.203565 |
| health care provider | 0.291993 |
| blood sugar levels | 0.200532 |
| blood pressure control | 0.204036 |
| doctor | 0.207516 |
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| health care team | 0.937109 |
| lifestyle changes | 0.273181 |
| high cholesterol | 0.430838 |
| high blood pressure | 0.802101 |
| heart disease | 0.418507 |
| simple blood test | 0.213321 |
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Data | Million Hearts |
Find progress on specific metrics to achieve the Million Hearts® goal of preventing 1 million heart attacks and strokes by 2017. |
| heart attacks | 0.653294 |
| Wright JS | 0.608488 |
| proportion | 0.44808 |
| figures | 0.441308 |
| clinical quality | 0.817783 |
| specific measures | 0.659806 |
| health centers | 0.627957 |
| EHR | 0.463363 |
| Medicaid Services | 0.619807 |
| analyses | 0.437857 |
| Progress showcase advances | 0.861309 |
| Services Administration | 0.62407 |
| number | 0.533937 |
| hypertensive patients | 0.630037 |
| Quality Measures Dashboard | 0.825057 |
| reporting period | 0.618573 |
| adult patients | 0.614994 |
| Incentive Program | 0.616752 |
| percentage | 0.444387 |
| public health surveillance | 0.7853 |
| Helwig | 0.45543 |
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| HRSA Uniform Data | 0.873063 |
| Medicare Electronic Health | 0.820269 |
| Hearts® Snapshots | 0.668567 |
| tobacco users | 0.627656 |
| tobacco cessation intervention | 0.82286 |
| Hearts® target | 0.622351 |
| Health Resources | 0.631266 |
| Wall HK | 0.612156 |
| Million Hearts® Clinical | 0.912598 |
| strokes | 0.451826 |
| goal | 0.441975 |
| clinical quality measure | 0.811735 |
| measure NQF | 0.823347 |
| new snapshots | 0.657726 |
| MMWR. | 0.436909 |
| eligible providers | 0.834843 |
| visual snapshot | 0.723271 |
| time | 0.475672 |
| High Blood Pressure | 0.797846 |
| simple tables | 0.650934 |
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Maternal Depression | CDC Features |
Depression is common and treatable. Learn about symptoms and seeking treatment. |
| women experience depression | 0.639972 |
| Visit Treating | 0.343939 |
| woman | 0.228898 |
| emotional changes | 0.346592 |
| health care provider | 0.920838 |
| best mental health | 0.49398 |
| sadness | 0.236047 |
| baby blues | 0.351657 |
| Moms | 0.235028 |
| Suicide Prevention Lifeline | 0.482103 |
| feature | 0.23191 |
| National | 0.228858 |
| medications | 0.228701 |
| TTY | 0.238453 |
| term | 0.229832 |
| department | 0.22903 |
| emergency medical treatment | 0.46672 |
| worry | 0.235451 |
| crisis | 0.26669 |
| occur | 0.233758 |
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| pregnancy | 0.268669 |
| daily life | 0.368058 |
| medicine | 0.228773 |
| people | 0.262382 |
| symptoms | 0.27538 |
| Online chat | 0.352827 |
| 24 hours a day | 0.22877 |
| person | 0.265316 |
| best thing | 0.339913 |
| information | 0.22794 |
| depression | 0.809743 |
| postpartum depression | 0.723546 |
| breastfeeding | 0.267575 |
| time | 0.231333 |
| 1-800-273-TALK | 0.228822 |
| nearest hospital emergency | 0.480048 |
| tiredness many women | 0.350387 |
| feelings | 0.279068 |
| support | 0.228883 |
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