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CDC Celebrates Minority Health Month | CDC Features |
April is National Minority Health Month. The theme for 2016 is “Accelerating Health Equity for the Nation.” Learn what CDC is doing and help raise awareness of the health disparities that affect minorities. |
| great National Health | 0.486116 |
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| Minority Health | 0.774274 |
| health issues | 0.415294 |
| health outcomes | 0.344483 |
| women’s health | 0.41638 |
| health disparities | 0.608436 |
| task force | 0.339199 |
| CDC’s Office | 0.267514 |
| public health ethics | 0.755249 |
| Hispanic health risks | 0.42432 |
| federal government | 0.341257 |
| Bridging Health Equity | 0.555143 |
| National Negro Health | 0.491155 |
| chronic liver disease | 0.311639 |
| Margaret Heckler | 0.275761 |
| Health Equity host | 0.460715 |
| forum explores ways | 0.317317 |
| National Center | 0.233023 |
| World Health Organization | 0.445503 |
| Non-Hispanic whites | 0.24185 |
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| ethnic minorities | 0.37208 |
| professional associations | 0.233964 |
| Health Care | 0.319665 |
| poorer health | 0.344283 |
| community health workers | 0.425683 |
| higher death rates | 0.313004 |
| African American children | 0.336407 |
| Dr. Booker T. | 0.601493 |
| non-Hispanic White children | 0.362639 |
| Equity’s mission | 0.283579 |
| United States | 0.308119 |
| advance health equity | 0.509858 |
| national study | 0.237473 |
| national picture | 0.239512 |
| Heckler Report | 0.47211 |
| Health Ethics Forum | 0.535207 |
| Optimal Health | 0.320317 |
| local health departments | 0.460508 |
| Ethics Forum webpage | 0.321206 |
| Booker T. Washington | 0.601411 |
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| better health | 0.342939 |
| health | 0.903211 |
| population health opportunities | 0.420683 |
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Section 912 of the Federal Food, Drug, and Cosmetic Act -Judicial Review |
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| Regulations | 0.320191 |
| United States Code | 0.753706 |
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| Finality | 0.326662 |
| Definition | 0.320365 |
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| Columbia | 0.323839 |
| person | 0.343448 |
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| United States | 0.763684 |
| Secretary | 0.423976 |
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| title | 0.361289 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0021 |
The purpose of this study was to determine the ability of first-, third-, and fifth-graders to accurately self-report height and weight. |
| Weight measurements | 0.557908 |
| Christine A. Schaefer | 0.544565 |
| measured values | 0.578413 |
| percentile-for-age SAS macro | 0.559994 |
| Human Subjects Research | 0.57789 |
| linear regression fit | 0.54143 |
| Institutional Review Board | 0.566244 |
| weight values | 0.618192 |
| self-report accuracy | 0.608565 |
| self-reported values | 0.649112 |
| children | 0.677434 |
| Figure. Measured BMI | 0.670093 |
| biologically implausible values | 0.591384 |
| erroneous obesity prevalence | 0.59754 |
| obesity prevalence | 0.761389 |
| Health Organization outlier | 0.574533 |
| large sample size | 0.548321 |
| body mass index | 0.719939 |
| BMI z score | 0.592296 |
| children exhibit patterns | 0.579882 |
| reasonable values | 0.53704 |
| weight | 0.928849 |
| metro-area elementary schools | 0.583913 |
| weight renders | 0.539439 |
| Height measurements | 0.652966 |
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| weight status | 0.543582 |
| measured weight | 0.61267 |
| older children | 0.516632 |
| Weight % difference | 0.551151 |
| IPLAY study | 0.515886 |
| elementary school students | 0.587803 |
| percentage difference | 0.549464 |
| Fort Collins | 0.541321 |
| weight measures | 0.572677 |
| fifth-graders | 0.656497 |
| self-report ability | 0.612217 |
| linear regression | 0.565495 |
| self-reporting weight | 0.56221 |
| self-reported data | 0.605736 |
| self-reported weight | 0.764762 |
| Raymond C. Browning | 0.545193 |
| accurately self-report height | 0.813917 |
| Colorado State University | 0.714236 |
| Self-reported BMI | 0.677896 |
| BMI percentile-for-age values | 0.63598 |
| elementary school–aged children | 0.623835 |
| Table). | 0.551835 |
| reasonable height | 0.70239 |
| self-reported height | 0.982523 |
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Anhydrous Ammonia - Health Communication |
Anhydrous Ammonia - Gateway to Health Communication - CDC |
| self-contained breathing apparatus | 0.356794 |
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| storage facility | 0.335259 |
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| anhydrous ammonia theft | 0.592772 |
| law enforcement officials | 0.358686 |
| exposure risk | 0.352788 |
| Substances Emergency Events | 0.371023 |
| eye irritation | 0.368119 |
| meth manufacturing | 0.346619 |
| anhydrous ammonia release | 0.578752 |
| high concentrations | 0.335993 |
| 50th wedding anniversary | 0.354113 |
| personal protective equipment | 0.360103 |
| storage facilities | 0.393536 |
| protective equipment | 0.386049 |
| aid treatment | 0.357745 |
| illicit production | 0.342314 |
| illicit meth production | 0.38603 |
| emergency responders | 0.366508 |
| throat irritation | 0.343122 |
| respiratory distress | 0.364363 |
| colorless gas | 0.339125 |
| Sarah’s car | 0.335457 |
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| anhydrous ammonia | 0.91054 |
| high levels | 0.363871 |
| makeshift laboratories | 0.335818 |
| industrial refrigeration systems | 0.361636 |
| anhydrous ammonia exposure | 0.807531 |
| heavier-than-air gas | 0.339449 |
| Outdoor exposure | 0.356545 |
| illicit activity | 0.338915 |
| makeshift containers | 0.33794 |
| John’s parents | 0.335456 |
| wrong hoses | 0.33461 |
| inadequate storage containers | 0.363254 |
| Wear ventless goggles | 0.359119 |
| Advance safety preparation | 0.355306 |
| large cloud | 0.335871 |
| anhydrous ammonia leaks | 0.57188 |
| ammonia lines | 0.463872 |
| emergency personnel | 0.362967 |
| anhydrous ammonia results | 0.588525 |
| agricultural fertilizer | 0.337366 |
| possible exposure | 0.356211 |
| pink frothy sputum | 0.364414 |
| railroad tanker cars | 0.360726 |
| small squeeze bottle | 0.357595 |
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Intimate Partner Violence - Violence Prevention - Injury |
The term intimate partner violence describes physical, sexual, or psychological harm by a current or former partner or spouse. This type of violence can occur among heterosexual or same-sex couples and does not require sexual intimacy. |
| goal | 0.240517 |
| healthy behaviors | 0.411885 |
| Americans | 0.251333 |
| preventable public health | 0.645968 |
| type | 0.239594 |
| IPV | 0.330592 |
| spouse | 0.260346 |
| relationships | 0.267676 |
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| problem | 0.243985 |
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| intimate partner violence | 0.928454 |
| sexual intimacy | 0.411144 |
| millions | 0.260629 |
| term | 0.240973 |
| programs | 0.266954 |
| same-sex couples | 0.431576 |
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Centers for Disease Control and Prevention |
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Know: BRCA (612W x 612H) |
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Centers for Disease Control and Prevention |
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BBQ IQ - Get Smart. Grill Safely. (208W x 416H) |
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Heart Disease Maps & Data Sources |
Maps and other data sources with information on heart disease in the U.S., including an interactive atlas with county-level maps of heart disease. |
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| cardiovascular disease data | 0.800428 |
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| Health Maps | 0.711923 |
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| Behavioral Risk Factor | 0.852899 |
| Maps About Heart | 0.719682 |
| entire United States | 0.77019 |
| wide range | 0.682104 |
| Cardiovascular Disease Surveillance | 0.795499 |
| analyze data | 0.689112 |
| single point | 0.676261 |
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| Data Trends | 0.697815 |
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| stroke prevention programs | 0.786646 |
| local populations | 0.678463 |
| public health burden | 0.779765 |
| program managers | 0.682985 |
| heart disease | 0.97066 |
| health services | 0.712541 |
| Epidemiologic Analysis | 0.684911 |
| CDC Wonder | 0.723601 |
| Epi Infoâ„¢ | 0.683928 |
| public health professionals | 0.763559 |
| self-reported risk factors | 0.761506 |
| public health | 0.852047 |
| PDF format | 0.687169 |
| Download Software | 0.679249 |
| web page | 0.679668 |
| GIS resources | 0.699134 |
| community forum | 0.683145 |
| map makers | 0.682824 |
| data systems | 0.687736 |
| policy makers | 0.683092 |
| Chronic Disease GIS | 0.794508 |
| state-based Behavioral Risk | 0.757576 |
| chosen state | 0.694093 |
| county-level maps | 0.72491 |
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Japanese Encephalitis Vaccine | Japanese Encephalitis |
Information on Japanese Encephalitis. Provided by the U.S. Centers for Disease Control and Prevention. |
| Vero cell | 0.281909 |
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| CDC/FDA Vaccine Adverse | 0.405164 |
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| low-grade fevers | 0.274777 |
| pregnant women | 0.391229 |
| bed nets | 0.268526 |
| long-term travelers | 0.315001 |
| continued risk | 0.280759 |
| IXIARO product information | 0.352332 |
| protamine sulfate | 0.270271 |
| JE virus | 0.750631 |
| theoretical risk | 0.269406 |
| ongoing JE outbreak | 0.50977 |
| two-dose primary vaccination | 0.339139 |
| virus transmission season | 0.455031 |
| VAERS Form | 0.279136 |
| Japanese Encephalitis Vaccine | 0.434912 |
| travelers | 0.34679 |
| extensive outdoor activities | 0.331953 |
| short-term travelers | 0.313126 |
| Vaccine Information Statement | 0.432639 |
| JE vaccines | 0.492227 |
| booster dose | 0.36196 |
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| previous dose | 0.28642 |
| two-dose series | 0.275336 |
| JE virus infection | 0.549896 |
| air conditioning | 0.267492 |
| United States | 0.35891 |
| endemic areas | 0.418565 |
| culture-derived Japanese encephalitis | 0.358032 |
| JE vaccine | 0.905917 |
| spending substantial time | 0.329836 |
| Immunization Practices | 0.267882 |
| JE risk | 0.447749 |
| higher-risk activities | 0.273336 |
| muscle aches | 0.269212 |
| allergic reaction | 0.270264 |
| mild headaches | 0.268638 |
| recurrent travelers | 0.318359 |
| high-risk period | 0.273688 |
| urban areas | 0.333641 |
| adverse events | 0.315772 |
| JE virus transmission | 0.729037 |
| allergic reactions | 0.270409 |
| agricultural areas | 0.338048 |
| Health Information | 0.270913 |
| FDA IXIARO webpage | 0.342724 |
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Manage Costs | NDPP | Diabetes |
National Diabetes Prevention Program |
| National DPP lifestyle | 0.608535 |
| Task Force | 0.37655 |
| CDC | 0.235237 |
| Albright | 0.239196 |
| default values | 0.405853 |
| Users | 0.260578 |
| type | 0.261881 |
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| Ann Intern Med. | 0.540402 |
| recruitment | 0.234591 |
| state health departments | 0.564678 |
| Economic costs | 0.42042 |
| annual medical costs | 0.665888 |
| results | 0.290031 |
| Diabetes Prevention Impact | 0.946264 |
| estimates | 0.236676 |
| Gallo | 0.239631 |
| prevention programs | 0.418905 |
| lifestyle change program | 0.607806 |
| decision makers | 0.381727 |
| Chattopadhyay | 0.256316 |
| person | 0.272239 |
| Kowal SL | 0.398845 |
| doi | 0.244153 |
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| activity promotion programs | 0.537497 |
| Qu | 0.252747 |
| stakeholders | 0.240204 |
| Dall TM | 0.396868 |
| logistics costs | 0.464041 |
| Gregg EW | 0.405406 |
| Economic evaluation | 0.381663 |
| insurers | 0.238069 |
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| Hogan PF | 0.395069 |
| Impact Toolkit | 0.931209 |
| relevant data | 0.393157 |
| hand | 0.235055 |
| Diabetes Care | 0.571775 |
| disease | 0.235326 |
| target population | 0.398444 |
| average annual cost | 0.620695 |
| Zhang | 0.236786 |
| lifestyle change | 0.609392 |
| systematic review | 0.381196 |
| following resources | 0.383243 |
| online tool | 0.405079 |
| et al | 0.380173 |
| Community Preventive Services | 0.534445 |
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