| 4698 |
Centers for Disease Control and Prevention |
Html |
en |
Learning from the European experience of using targets to improve population health |
null |
| targets programs | 0.53927 |
| technical targets | 0.566196 |
| chosen population health | 0.49009 |
| National Health Service | 0.513373 |
| health outcomes | 0.53812 |
| Health Service organizations | 0.497325 |
| health inequalities | 0.494292 |
| population health targets | 0.671172 |
| national targets | 0.545331 |
| local health targets | 0.612297 |
| subtle targets | 0.539302 |
| public health targets | 0.648734 |
| health care providers | 0.491984 |
| PSA targets | 0.621186 |
| English health care | 0.498976 |
| health targets | 0.962645 |
| future health care | 0.496554 |
| targets regimes | 0.566286 |
| Health Systems | 0.539029 |
| World Health Organization | 0.551931 |
| effective local targets | 0.581624 |
| Outcome-related health targets | 0.596013 |
| national PSA targets | 0.589751 |
| local health authorities | 0.504817 |
| Regional Office | 0.512492 |
|
| explicit performance targets | 0.591155 |
| English public health | 0.527571 |
| intersectoral targets | 0.54119 |
| country-based targets | 0.548881 |
| Swedish public health | 0.495033 |
| regional health conferences | 0.489783 |
| outcome-related targets | 0.549849 |
| health policy | 0.520823 |
| public health domain | 0.493582 |
| health services | 0.490948 |
| health system performance | 0.487966 |
| public health outcomes | 0.506249 |
| local health networks | 0.495674 |
| health care | 0.60829 |
| public health care | 0.493895 |
| quantitative health targets | 0.606408 |
| public health focus | 0.502924 |
| targets process | 0.54972 |
| clinical quality targets | 0.571081 |
| book Health Targets | 0.60088 |
| European Observatory | 0.513183 |
| earlier PSA targets | 0.556624 |
| Cross-sectoral targets | 0.541798 |
| coronary heart disease | 0.5059 |
|
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| 4737 |
Centers for Disease Control and Prevention |
Html |
en |
Fact Sheet - Eastern Equine Encephalitis |
Eastern Equine Encephalitis is a rare disease that is caused by a virus spread by infected mosquitoes.
|
| equine encephalitis virus | 0.910275 |
| Cs. melanura | 0.408882 |
| mosquito bites | 0.362729 |
| human cases | 0.352039 |
| infected birds | 0.35316 |
| Culex species | 0.366994 |
| diagnostic tests | 0.338045 |
| virus activity | 0.368507 |
| western equine encephalitis | 0.615287 |
| systemic illness | 0.381282 |
| uninfected mammals | 0.349406 |
| recreational activities | 0.34829 |
| greatest risk | 0.341475 |
| preventive drug | 0.336876 |
| supportive treatment | 0.335227 |
| EEE die | 0.418306 |
| abrupt onset | 0.523755 |
| avian hosts | 0.361139 |
| nervous system involvement | 0.337931 |
| older children | 0.335309 |
| EEEV infections | 0.366309 |
| Great Lakes region | 0.475426 |
| largest number | 0.35105 |
| outdoor work | 0.348383 |
|
| tire swings | 0.334773 |
| Culiseta melanura mosquitoes | 0.567779 |
| family Togaviridae | 0.365855 |
| repellent/insecticide permethrin | 0.344939 |
| permanent neurologic damage | 0.449221 |
| EEEV transmission | 0.377696 |
| United States | 0.351727 |
| life-long immunity | 0.354402 |
| EEEV infection | 0.521995 |
| encephalitic form | 0.412789 |
| specific antiviral treatment | 0.462518 |
| Eastern equine encephalitis | 0.618525 |
| Venezuelan equine encephalitis | 0.618901 |
| appropriate serologic | 0.333945 |
| encephalitic patients | 0.413755 |
| EEE). | 0.500806 |
| secure screens | 0.331897 |
| Gulf Coast states | 0.468662 |
| genus Alphavirus | 0.378142 |
| New Jersey | 0.351206 |
| freshwater hardwood swamps | 0.793623 |
| severe sequelae | 0.368128 |
| lemon eucalyptus | 0.333287 |
| important vector | 0.357422 |
|
CLICK HERE |
| 8370 |
Centers for Disease Control and Prevention |
Html |
en |
Evaluation and Management of Suspected Outbreaks of Meningococcal Disease - APPENDIX B, March 22, 2013 |
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. |
| mass vaccination campaign | 0.732613 |
| meningococcal disease outbreak | 0.794174 |
| organization-based outbreaks | 0.835155 |
| routine vaccination coverage | 0.726595 |
| outbreak settings | 0.669537 |
| common affiliation | 0.677789 |
| large outbreaks | 0.681721 |
| meningococcal disease outbreaks | 0.818059 |
| geographically contiguous population | 0.709169 |
| Public health personnel | 0.673992 |
| case | 0.705881 |
| additional cases | 0.696776 |
| substantial populations | 0.698617 |
| vaccination group | 0.823185 |
| general U.S. population | 0.7109 |
| public health officials | 0.730929 |
| age groups | 0.7102 |
| population | 0.786544 |
| meningococcal disease | 0.977688 |
| persons | 0.709024 |
| mass chemoprophylaxis | 0.695367 |
| certain organization-based outbreaks | 0.714991 |
| serogroup B outbreaks | 0.73342 |
| primary attack rate | 0.728013 |
|
| vaccination campaign comprise | 0.71158 |
| attack rates | 0.772561 |
| probable case | 0.703939 |
| community-based outbreak | 0.677845 |
| meningococcal outbreaks | 0.772077 |
| mass vaccination campaigns | 0.721695 |
| early case recognition | 0.674333 |
| community-based outbreaks | 0.719126 |
| general population | 0.673991 |
| clinically compatible illness | 0.708595 |
| disease attack rate | 0.708361 |
| massive public health | 0.677284 |
| case vaccination | 0.69309 |
| public health | 0.759014 |
| outbreak strain | 0.672346 |
| highest attack rates | 0.678918 |
| attack rate | 0.77349 |
| cases | 0.791923 |
| Age-specific attack rates | 0.680798 |
| mass vaccination | 0.773721 |
| geographically delineated community | 0.67576 |
| close contacts | 0.704658 |
| available vaccines | 0.671321 |
| risk | 0.742174 |
|
CLICK HERE |
| 9347 |
Centers for Disease Control and Prevention |
Html |
es |
Exámenes de detección de la diabetes en el posparto para mujeres con antecedentes de diabetes gestacional |
null |
| Eggleston E | 0.613764 |
| futuras recomendaciones | 0.578091 |
| diabetes tipo | 0.934965 |
| salud pública | 0.817555 |
|
| Oken E | 0.616086 |
| alto riesgo | 0.500266 |
| futuras iniciativas | 0.5244 |
| Chronic Dis | 0.631634 |
|
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| 9546 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013: 13_0016 |
Volumen 10 — el 29 de agosto de 2013. |
| Bastida E | 0.555779 |
| Timothy F | 0.498374 |
| Laura R | 0.49184 |
| Disease Self-Management Program | 0.712632 |
| Estados Unidos | 0.902789 |
| Palmer RC | 0.510548 |
| Richard C | 0.464576 |
| Aging Regional Collaborative | 0.704653 |
| Ahmed N | 0.52019 |
|
| Michael A | 0.476395 |
| salud pública | 0.960285 |
| Spanish-Speaking Older Adults | 0.696386 |
| Resultados intermedios | 0.482539 |
| Albatineh AN | 0.507479 |
| Elena Bastida | 0.590993 |
| Melchior MA | 0.544186 |
| Chronic Dis | 0.51572 |
|
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| 9782 |
Centers for Disease Control and Prevention |
Html |
en |
Youth Exposure to Alcohol Advertising on Television - 25Markets, United States, 2010 |
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. |
| underage audiences | 0.387744 |
| alcohol advertising impressions | 0.470074 |
| television media markets | 0.428382 |
| broadcast network sports | 0.402311 |
| alcohol advertisements | 0.507732 |
| denominator.§ Alcohol | 0.42021 |
| cable nonsports | 0.386989 |
| alcohol advertising | 0.904392 |
| youth viewers | 0.391441 |
| local underage audiences | 0.375333 |
| media markets | 0.500739 |
| public health surveillance | 0.446815 |
| youth audience composition | 0.4074 |
| local television markets* | 0.394065 |
| largest television markets | 0.517958 |
| Alcohol Alcohol | 0.502701 |
| industry standard | 0.436095 |
| total youth exposure | 0.463776 |
| broadcast network nonsports | 0.402315 |
| major metropolitan areas | 0.39983 |
| adolescent alcohol | 0.410452 |
| television universe estimates | 0.400248 |
| television advertising | 0.433959 |
| Advertising exposure | 0.390237 |
| Local People Meters | 0.386034 |
|
| youth exposure | 0.795962 |
| alcohol marketing | 0.536589 |
| Local People Meter | 0.403121 |
| local market television | 0.382318 |
| largest number | 0.381762 |
| United States | 0.44202 |
| program categories | 0.388962 |
| National Research Council/Institute | 0.450595 |
| cable sports | 0.387005 |
| local media markets | 0.456237 |
| Excessive alcohol consumption | 0.453264 |
| television programs | 0.643044 |
| total alcohol advertisements | 0.461485 |
| Federal Trade Commission | 0.395595 |
| New York | 0.501289 |
| national television advertisements | 0.393321 |
| alcohol outlet density | 0.43188 |
| alcohol companies | 0.415185 |
| national television programs | 0.525586 |
| alcohol industry | 0.636089 |
| alcohol excise taxes | 0.432814 |
| industry threshold | 0.379584 |
| David H. Jernigan | 0.393135 |
| cable television programs | 0.399436 |
|
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| 9907 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Stakeholders™ Interest in and Challenges to Implementing Farm-to-School Programs, Douglas County, Nebraska, 2010"2011 - CDC |
Schools are uniquely positioned to influence the dietary habits of children, and farm-to-school programs can increase fruit and vegetable consumption among school-aged children. We assessed the feasibility of, interest in, and barriers to implementing farm-to-school activities in 7 school districts in Douglas County, Nebraska. |
| F2S activities | 0.584609 |
| local producers | 0.628819 |
| County Health Department | 0.526709 |
| local food hub | 0.486253 |
| Douglas County | 0.68945 |
| vegetable consumption | 0.50418 |
| local products | 0.529169 |
| food safety standards | 0.489075 |
| postassessment survey | 0.484869 |
| piloted F2S program | 0.532342 |
| FSDs | 0.545958 |
| school districts | 0.656614 |
| new F2S program | 0.547981 |
| previous F2S studies | 0.524351 |
| F2S coordinator | 0.506314 |
| distributors | 0.489843 |
| F2S | 0.76229 |
| F2S programming | 0.519036 |
| school food service | 0.489831 |
| food service directors | 0.660896 |
| schools | 0.547371 |
| F2S programs | 0.738615 |
| F2S portion | 0.506733 |
| stakeholder groups | 0.488737 |
| smaller school districts | 0.531181 |
|
| local food practices | 0.51899 |
| Nebraska Medical Center | 0.492886 |
| local food | 0.774804 |
| larger school districts | 0.529163 |
| local foods | 0.900337 |
| local food events | 0.492418 |
| F2S program | 0.618752 |
| mean score | 0.55911 |
| local food producers | 0.557712 |
| preassessment | 0.597817 |
| County school districts | 0.481084 |
| Douglas County Health | 0.491353 |
| Forty-one local producers | 0.495279 |
| procurement-based F2S programs | 0.535588 |
| willingness | 0.491437 |
| F2S education | 0.507687 |
| producers | 0.635346 |
| food safety | 0.53175 |
| barriers | 0.528473 |
| discusses general F2S | 0.542432 |
| County F2S program | 0.553949 |
| postassessment | 0.603423 |
| preassessment survey | 0.488308 |
| local food procurement | 0.561068 |
|
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| 13654 |
Centers for Disease Control and Prevention |
Html |
en |
Disparities in Patterns of Health Care Travel Among Inpatients Diagnosed With Congestive Heart Failure, Florida, 2011 |
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. |
| hospitals | 0.486195 |
| inpatients | 0.399208 |
| actual travel time | 0.42421 |
| care travel patterns | 0.407233 |
| no-charge patients | 0.491322 |
| privately insured patients | 0.385579 |
| distant hospitalization | 0.533721 |
| shortest excess travel | 0.395027 |
| HSAs influence patients | 0.401865 |
| different travel patterns | 0.407488 |
| individual discharge records | 0.4012 |
| median household income | 0.466136 |
| travel distance | 0.3944 |
| population-weighted centroid | 0.402583 |
| logistic models | 0.491858 |
| patients | 0.831823 |
| secondary road network | 0.397301 |
| large metropolitan patients | 0.389455 |
| local hospital supply | 0.423159 |
| linear regression models | 0.581108 |
| travel time | 0.944499 |
| HSAs | 0.433759 |
| large metropolitan areas | 0.404067 |
| hospital patients | 0.385794 |
|
| self-pay patients | 0.407874 |
| Congestive heart failure | 0.410739 |
| local patients | 0.396948 |
| major public health | 0.41275 |
| local/distant hospitalization | 0.387294 |
| CHF patients | 0.528353 |
| postal zone | 0.428104 |
| increased travel time | 0.408688 |
| shorter excess travel | 0.390227 |
| local hospitals | 0.388228 |
| large metropolitan area | 0.458777 |
| health care | 0.412667 |
| local hospital resources | 0.468398 |
| multiple logistic regression | 0.406172 |
| small metropolitan area | 0.459226 |
| local hospitalization | 0.863129 |
| travel patterns | 0.771854 |
| excess travel time | 0.921337 |
| Long travel distance | 0.38677 |
| linear models | 0.403321 |
| public health problem | 0.412746 |
| policy makers | 0.388804 |
| logistic regression models | 0.412228 |
| continuous travel time | 0.394126 |
|
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Centers for Disease Control and Prevention |
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Announcement: World Polio Day - October 24, 2015 |
October 24 is World Polio Day, which recognizes the global progress made against a disease that at its height crippled over 100 children per week and now has been reduced to fewer than 100 cases per year. World Polio Day serves as a reaffirmation of the global commitment to eradicate this childhood disease. |
| Initiative partners | 0.574835 |
| country | 0.42798 |
| endorsement | 0.49857 |
| Human Services | 0.726705 |
| U.S. Department | 0.72221 |
| MMWR HTML versions | 0.712211 |
| identification | 0.427272 |
| Melinda Gates Foundation | 0.735773 |
| electronic PDF version | 0.69377 |
| Global Polio Eradication | 0.847164 |
| Rotary International | 0.580259 |
| height | 0.435358 |
| World Health Organization | 0.946774 |
| Contact GPO | 0.61029 |
| commercial sources | 0.572331 |
| list | 0.428129 |
| current prices | 0.562083 |
| field | 0.428262 |
| original paper copy | 0.691926 |
| global progress | 0.594444 |
| concerted effort | 0.59402 |
| Internet | 0.426885 |
| polio-endemic countries | 0.739006 |
| Afghanistan | 0.431409 |
|
| U.S. Government Printing | 0.691644 |
| Superintendent | 0.433196 |
| childhood disease | 0.588661 |
| World Polio | 0.717953 |
| United Nations Children | 0.731938 |
| MMWR readers | 0.580719 |
| character translation | 0.560676 |
| reaffirmation | 0.430484 |
| total | 0.427662 |
| MMWR paper copy | 0.705572 |
| polio vaccinators | 0.677811 |
| Nigeria | 0.431345 |
| wild poliovirus case | 0.725689 |
| format errors | 0.569218 |
| cases | 0.45665 |
| global commitment | 0.598066 |
| typeset documents | 0.576029 |
| public health workers | 0.747359 |
| trade names | 0.572486 |
| official text | 0.557969 |
| non-CDC sites | 0.570687 |
| References | 0.426933 |
| organizations | 0.426739 |
| electronic conversions | 0.561395 |
|
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| 15956 |
Centers for Disease Control and Prevention |
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en |
Divergent Perceptions of Barriers to Diabetic Retinopathy Screening Among Patients and Care Providers, Los Angeles, California, 2014-2015 |
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. |
| patient screening compliance | 0.507887 |
| routine screening | 0.482375 |
| patient barriers | 0.527595 |
| low-income minority patients | 0.561934 |
| annual DR screening | 0.520807 |
| retinal eye screening | 0.562502 |
| diabetic eye disease. | 0.491111 |
| diabetic eye | 0.521746 |
| DR screening program | 0.514328 |
| annual screening rate | 0.493211 |
| additional barriers | 0.488001 |
| health care providers | 0.670063 |
| annual diabetic retinopathy | 0.488533 |
| safety-net health center | 0.474903 |
| DR screening rates | 0.548179 |
| diabetes retinal screening | 0.535187 |
| patients | 0.782869 |
| minority patients | 0.599972 |
| racial/ethnic minority patients | 0.523414 |
| diabetic eye disease | 0.48803 |
| multiple patient barriers | 0.517001 |
| diabetic retinopathy screening | 0.783037 |
| adequate diabetes care | 0.483776 |
| important intellectual content | 0.501195 |
|
| potential internal barriers | 0.499871 |
| retinopathy screening rates | 0.549243 |
| study | 0.481368 |
| provider staffers | 0.47914 |
| diabetic patients | 0.47552 |
| staffers | 0.512565 |
| following potential barriers | 0.568243 |
| Biomedical Research Institute | 0.495015 |
| diabetes care | 0.574463 |
| DR screening rate | 0.529018 |
| Specific barriers | 0.487984 |
| low screening rate | 0.495945 |
| low-income patients | 0.493743 |
| timely DR screening | 0.522817 |
| DR screening | 0.914753 |
| DR screening exist | 0.517861 |
| external barriers | 0.482745 |
| barriers | 0.695684 |
| et al | 0.522802 |
| Los Angeles | 0.543987 |
| American Diabetes Association | 0.510442 |
| screening rates | 0.587772 |
| low screening rates | 0.56477 |
| diabetes | 0.632569 |
|
CLICK HERE |