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A summary measure of health inequalities for a pay-for-population health performance system |
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| health inequality | 0.874723 |
| overall health inequality | 0.316398 |
| Wisconsin inequality measure | 0.218307 |
| inequality measure | 0.220035 |
| summary measure | 0.434263 |
| top-down approach | 0.394849 |
|
| income-related health inequality | 0.232558 |
| bottom-up approach | 0.257829 |
| bivariate health inequality | 0.355137 |
| health inequalities | 0.918703 |
| bivariate health inequalities | 0.568763 |
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Flu and People with Asthma |
Flu and People with Asthma - CDC |
| flu illness milder | 0.605655 |
| acute respiratory diseases | 0.544463 |
| Stay home | 0.474015 |
| Flu vaccines | 0.559236 |
| Pneumococcal vaccines | 0.476966 |
| flu vaccine | 0.558721 |
| lung disease | 0.49353 |
| lung airways | 0.51059 |
| trade name Relenza® | 0.473363 |
| important step | 0.479757 |
| allergy particles | 0.485387 |
| airway infections | 0.502451 |
| sensitive airways | 0.496187 |
| antiviral drug | 0.607376 |
| common medical conditions | 0.543537 |
| different antiviral drug | 0.570828 |
| chest tightness | 0.489686 |
| health departments | 0.47533 |
| common long-term diseases | 0.559157 |
| health conditions | 0.478928 |
| chronic inflammation | 0.499951 |
| asthma attacks | 0.923626 |
| early morning coughing | 0.564648 |
| influenza vaccine | 0.508235 |
|
| trade name Tamiflu® | 0.474002 |
| public schools | 0.477745 |
| flu hospitalizations | 0.565747 |
| Asthma Action Plan | 0.715854 |
| antiviral drugs | 0.556238 |
| antiviral drug treatment | 0.566425 |
| asthma | 0.930157 |
| flu viruses | 0.546587 |
| college health centers | 0.543546 |
| Influenza infection | 0.512599 |
| people | 0.531194 |
| medical care | 0.475999 |
| chemical irritants | 0.493795 |
| lung problems | 0.475053 |
| common medical condition | 0.545232 |
| influenza infections | 0.512655 |
| asthma medications | 0.688112 |
| FluView Interactive application | 0.545185 |
| regular doctor | 0.477146 |
| asthma symptoms | 0.68507 |
| air pollution | 0.485197 |
| trade name Rapivab® | 0.473915 |
| asthma experience symptoms | 0.763311 |
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Centers for Disease Control and Prevention |
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Hot Tub User Information - Resources & Publications |
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Centers for Disease Control and Prevention |
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Strategies and Options for Older Adults |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 10506 |
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Email Updates: November 5, 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. |
| CDC | 0.980246 |
| Public Health Matters | 0.496629 |
| NECC-supplied preservative-free betamethasone | 0.483873 |
| Emergency Preparedness | 0.474566 |
| FDA Safety Information | 0.534809 |
| Nile virus infections | 0.476828 |
| Hurricane Sandy Response | 0.599084 |
| prevention science | 0.403595 |
| CDC Science Clips | 0.81207 |
| Additional COCA Conference | 0.544407 |
| CDC Influenza Division | 0.772937 |
| important safety information | 0.463034 |
| subject matter experts | 0.492609 |
| Free CE credit/contact | 0.492248 |
| Weekly Flu View | 0.471024 |
| human medical products | 0.456797 |
| CDC Disaster Epidemiology | 0.777005 |
| infected patients | 0.40346 |
| Current Travel Warnings | 0.474703 |
| FDA gateway | 0.449982 |
| preservative-free methylprednisolone acetate | 0.502855 |
| Event Reporting Program | 0.463761 |
| Meningitis Outbreak Investigation | 0.569104 |
| New England Compounding | 0.491891 |
| CDC Health Alert | 0.791375 |
|
| epidural steroid injection | 0.510116 |
| multi-state investigation | 0.411697 |
| weekly feature | 0.404613 |
| different culture results | 0.45866 |
| NECC cardioplegia solution | 0.466324 |
| Fungal Meningitis Outbreak | 0.713604 |
| COCA Email Update | 0.539379 |
| epidural steroid injections | 0.503197 |
| west nile virus | 0.706109 |
| current epidemiology | 0.411365 |
| public health community | 0.49846 |
| Patient Notification Advised | 0.459655 |
| Blog – Outbreak | 0.429915 |
| public health | 0.534628 |
| FDA Statement | 0.45886 |
| Specific Hazards preparedness | 0.488005 |
| CDC laboratories | 0.667556 |
| Nile virus disease | 0.47531 |
| in-person training centers | 0.474362 |
| fungal infections | 0.422735 |
| FoodSafety.gov Reports FDA | 0.548145 |
| weekly influenza surveillance | 0.470702 |
| USDA Food Recalls | 0.472497 |
| Response Training Resources | 0.498453 |
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Breast Cancer Risk Factors |
Research has found several risk factors that may increase your chances of getting breast cancer. |
| oral contraceptives | 0.334249 |
| estrogen hormones | 0.34201 |
| Genetic mutations | 0.338345 |
| cancer risk factors | 0.391664 |
| certain genes | 0.33635 |
| Family history | 0.3311 |
| breast cancer increases | 0.486925 |
| pregnant women | 0.336471 |
| menopause | 0.326808 |
| non-cancerous breast diseases | 0.465623 |
| certain non-cancerous breast | 0.424609 |
| Hodgkin’s lymphoma | 0.333985 |
| night shift | 0.334214 |
| family members | 0.332623 |
| alcohol | 0.312158 |
| risk factors | 0.439699 |
| normal weight | 0.335935 |
| ovarian cancer | 0.345449 |
| Previous treatment | 0.332629 |
| birth control pills | 0.364676 |
| lobular carcinoma | 0.335041 |
| Studies | 0.315643 |
| Certain forms | 0.334035 |
| oral contraceptive pills | 0.36286 |
| drug diethylstilbestrol | 0.336356 |
|
| radiation therapy | 0.357933 |
| fatty tissue | 0.334555 |
| women | 0.437797 |
| woman | 0.328184 |
| United States | 0.335288 |
| atypical hyperplasia | 0.335651 |
| full-term pregnancy | 0.335777 |
| life | 0.314346 |
| breast cancers | 0.44684 |
| longer time | 0.333957 |
| dense breasts | 0.41145 |
| Older women | 0.337961 |
| connective tissue | 0.334932 |
| higher risk | 0.476833 |
| breast cancer risk | 0.52006 |
| breast cancer | 0.94816 |
| Early menstrual period | 0.36849 |
| genetic changes | 0.335256 |
| first-degree male | 0.332778 |
| DES | 0.312021 |
| combination hormone therapy | 0.36108 |
| risk | 0.605318 |
| Personal history | 0.367436 |
| age | 0.350541 |
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Norovirus | Resources and References | CDC |
Norovirus resources and reference material |
| Clinical Infectious Diseases | 0.404276 |
| Lopman BA | 0.743246 |
| norovirus infection | 0.3781 |
| norovirus outbreak | 0.421538 |
| pediatric norovirus cases | 0.378846 |
| Foodborne Outbreak Online | 0.365202 |
| norovirus disease | 0.397441 |
| Acute gastroenteritis surveillance | 0.380522 |
| emergent norovirus variant | 0.373857 |
| Emerg Infect Dis. | 0.769156 |
| IDEIA Norovirus assay | 0.372907 |
| Norovirus Illness | 0.368374 |
| norovirus disease burden | 0.385985 |
| surveillance network | 0.363873 |
| norovirus gastroenteritis outbreaks | 0.469265 |
| duty United States | 0.368787 |
| Emerg Infect Dis.2013 | 0.394713 |
| Parashar UD | 0.853737 |
| Genotype GI.6 norovirus | 0.377847 |
| Clin Infect Dis. | 0.762 |
| severe acute gastroenteritis | 0.379956 |
| Infect Dis. | 0.874516 |
| Norovirus Outbreak Management | 0.404736 |
| Infectious Diseases | 0.411903 |
| Hall AJ | 0.949101 |
|
| systematic literature review | 0.364177 |
| norovirus transmission | 0.362671 |
| norovirus outbreaks | 0.436921 |
| United States | 0.645244 |
| norovirus activity | 0.360422 |
| norovirus-associated acute gastroenteritis | 0.383853 |
| Payne DC | 0.383302 |
| plos | 0.37682 |
| Norovirus surveillance | 0.364694 |
| acute gastroenteritis | 0.47359 |
| Certain Norovirus Genotypes | 0.378748 |
| Infect Control. | 0.365764 |
| GII.4 norovirus | 0.357956 |
| varied global burden | 0.38764 |
| Healthcare Settings | 0.359199 |
| norovirus outbreaks activity | 0.388787 |
| systematic review | 0.360676 |
| MMWR Surveillance Summaries | 0.364126 |
| gastroenteritis hospital | 0.360437 |
| Norovirus Outbreak Control | 0.408109 |
| et al | 0.862045 |
| Norovirus disease surveillance | 0.386937 |
| GII.4 Sydney norovirus | 0.37901 |
| human norovirus | 0.357194 |
|
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Preventing Chronic Disease | Recruitment Strategies and theRetention of Obese Urban Racial/Ethnic Minority Adolescents inClinical Trials: The FIT Families Project, Michigan, 2010-2014 -CDC |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| traditional recruitment strategies | 0.64502 |
| Study retention strategies | 0.646803 |
| FIT Families study | 0.640002 |
| clinic health care | 0.636781 |
| opt-out recruitment strategies | 0.616834 |
| minority research participants | 0.671133 |
| research staff | 0.967854 |
| African American adolescent | 0.639417 |
| active refusals | 0.614753 |
| University Pediatric Weight | 0.613696 |
| recruitment strategies | 0.887292 |
| Wayne State University | 0.803768 |
| health care providers | 0.743863 |
| appropriate recruitment strategies | 0.622833 |
| body mass index | 0.659114 |
| important research focus | 0.610956 |
| multiple recruitment strategies | 0.654516 |
| Overall study retention | 0.621982 |
| active refusal rate | 0.640569 |
| study retention rate | 0.673733 |
| successful recruitment | 0.646563 |
| community-based recruitment | 0.642778 |
| primary caregiver | 0.638859 |
| community-based recruitment methods | 0.618192 |
| behavioral intervention trials | 0.644341 |
|
| sequential multiple assignment | 0.734382 |
| study | 0.779601 |
| obese racial/ethnic minority | 0.627172 |
| Health Obesity Research | 0.65715 |
| adolescent health behavior | 0.624987 |
| Clinical research informatics | 0.619233 |
| FIT Families research | 0.641296 |
| minority adolescent participants | 0.610154 |
| racial/ethnic minority adolescents | 0.831201 |
| health care | 0.761581 |
| passive refusals | 0.667468 |
| letter recruitment strategy | 0.626172 |
| research assistant | 0.610474 |
| potentially eligible families | 0.637876 |
| informatics strategy | 0.65842 |
| research assistants | 0.625656 |
| caregiver education level | 0.623481 |
| families | 0.747088 |
| data collection | 0.785785 |
| passive refusal rate | 0.651211 |
| research staff contact | 0.627356 |
| retention rates | 0.665623 |
| et al | 0.807948 |
| recruitment strategy | 0.875989 |
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Trucker Safety | 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. |
| Bus Crash Facts | 0.408308 |
| handheld cell | 0.591628 |
| company safety policies | 0.423981 |
| Mortality Weekly Report | 0.407212 |
| truck crash | 0.399655 |
| large-truck crashes | 0.399073 |
| truck drivers | 0.962197 |
| federal regulations | 0.371197 |
| vehicle safety matters | 0.425517 |
| large trucks | 0.802156 |
| employer safety programs | 0.447798 |
| text messaging | 0.587197 |
| passengers | 0.41938 |
| work | 0.371469 |
| seat belt laws | 0.634043 |
| Signs Issue details | 0.407305 |
| Carrier Safety Administration | 0.420186 |
| truck driver safety | 0.45942 |
| carrier safety inspectors | 0.420582 |
| primary enforcement seat | 0.600077 |
| seat belts | 0.683125 |
| motor carrier safety | 0.514717 |
| Vital Signs | 0.446168 |
| truck driver education | 0.446941 |
|
| speed limits | 0.419434 |
| driver education manuals | 0.420706 |
| unbelted truck drivers | 0.495725 |
| motor vehicle crash | 0.431562 |
| motor vehicle | 0.4959 |
| long-haul truck drivers | 0.548458 |
| large truck | 0.543395 |
| belt use requirements | 0.404728 |
| Coordinate enforcement measures | 0.408236 |
| large-truck driver | 0.377721 |
| trucker safety | 0.476316 |
| Motor Vehicle Safety | 0.426995 |
| bus drivers | 0.386909 |
| large-truck drivers | 0.394483 |
| Fatal crashes | 0.398794 |
| reliable vehicle | 0.372723 |
| distracted driving | 0.423687 |
| police officer | 0.417759 |
| trucking safety | 0.373382 |
| seat belt | 0.954432 |
| handheld cell phone | 0.519179 |
| Educate drivers | 0.382701 |
| enforcement seat belt | 0.635463 |
| motor vehicle crashes | 0.477174 |
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Effect of Family Income on the Relationship Between Parental Education and Sealant Prevalence, National Health and Nutrition Examination Survey, 2005–2010 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
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