| 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 |
|
CLICK HERE |
| 5284 |
Centers for Disease Control and Prevention |
Html |
en |
Healthy Weight: Success Stories: Dorothy |
Dorothy lost 120 lbs. Read her success story. |
| bed | 0.32488 |
| high school | 0.675022 |
| weight loss program | 0.76655 |
| lifelong problem | 0.453487 |
| fat kid | 0.427855 |
| dietitian | 0.329609 |
| fewer calories | 0.441051 |
| pounds | 0.400466 |
| things | 0.326717 |
| high school reunion | 0.526329 |
| portions | 0.324337 |
| various milestones | 0.427546 |
| work | 0.352279 |
| mall | 0.324518 |
| backwards | 0.328363 |
| new behavior pattern | 0.519084 |
| desk | 0.344802 |
| grade | 0.327965 |
| neighborhood | 0.324451 |
| visual reminder | 0.42523 |
| exercise class | 0.540908 |
| everybody | 0.325656 |
| good check-up | 0.426813 |
| fit person | 0.426391 |
| goal weight | 0.442627 |
|
| right place | 0.443982 |
| cycle | 0.324864 |
| colors | 0.323605 |
| jeans | 0.323584 |
| nice clothes | 0.426644 |
| head | 0.32667 |
| 32-ounce mug | 0.427685 |
| ways | 0.35205 |
| divorce | 0.326984 |
| eat | 0.323696 |
| diet | 0.327992 |
| new life | 0.412931 |
| local hospital | 0.428059 |
| television | 0.324896 |
| old pair | 0.426093 |
| room | 0.324406 |
| food | 0.323668 |
| physical activity | 0.547837 |
| new book | 0.415159 |
| commercial weight loss | 0.907763 |
| weight loss plan | 0.530263 |
| pound weight gain | 0.510627 |
| time | 0.462429 |
| veggies | 0.327982 |
|
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 |
| 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 |
|
CLICK HERE |
| 10089 |
Centers for Disease Control and Prevention |
Html |
en |
Child Passenger Safety Infographics |
CDC Vital Signs - Child Passenger Safety |
| seat belt fit | 0.608869 |
| car seat | 0.899129 |
| forward-facing car seat | 0.661015 |
| United States | 0.201151 |
| upper weight | 0.264092 |
| Insurance Institute | 0.201917 |
| seat type | 0.497701 |
| Highway Traffic Safety | 0.406447 |
| booster seat | 0.681945 |
| seat height/weight limits | 0.579439 |
| child passenger restraint | 0.468175 |
| restraint law coverage | 0.290053 |
| vehicle crash death | 0.266456 |
| motor vehicle | 0.286379 |
| Fatality Analysis Reporting | 0.441352 |
| children | 0.246862 |
| forward-facing seat | 0.496044 |
| active air bag | 0.247473 |
| height limit | 0.285908 |
|
| proper seat | 0.578656 |
| Traffic Safety Administration | 0.40922 |
| passenger restraint law | 0.475995 |
| specific height | 0.213951 |
| National Highway Traffic | 0.413332 |
| booster seats | 0.227763 |
| booster seat owner | 0.599552 |
| vehicle occupant death | 0.273789 |
| car seats | 0.273145 |
| shoulder belt | 0.20179 |
| seat | 0.953438 |
| seat belt | 0.675793 |
| rear-facing seat | 0.59122 |
| Child safety seat | 0.560947 |
| Highway Safety | 0.201862 |
| death rates | 0.283601 |
| lap belt | 0.202916 |
| REAR-FACING CAR SEAT | 0.597033 |
| age | 0.355317 |
|
CLICK HERE |
| 13560 |
Centers for Disease Control and Prevention |
Html |
en |
Assessing a Public Health Intervention for Children in Barbados, 2003–2008 |
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. |
| pediatric preventable conditions | 0.305596 |
| Public health agencies | 0.301164 |
| public health intervention | 0.29782 |
| data | 0.381057 |
| boys | 0.357402 |
| girls | 0.320762 |
| fewer asthma hospitalizations | 0.313708 |
| Data source | 0.292546 |
| Barbados Census | 0.390015 |
| children | 0.362633 |
| health care providers | 0.290428 |
| results | 0.293426 |
| health care professionals | 0.290008 |
| asthma hospitalization rate | 0.346098 |
| health services researchers | 0.287349 |
| preventable hospitalizations | 0.503599 |
| health educators | 0.309314 |
| preventable hospitalization indicator | 0.508967 |
| public health education | 0.307215 |
| Barbados residents | 0.294879 |
| asthma | 0.397598 |
| Public Health Sciences | 0.288814 |
| public health officials | 0.327733 |
| Barbados Strategic Plan | 0.624727 |
| universal health care | 0.435642 |
|
| health care costs | 0.296989 |
| public health educators | 0.298764 |
| asthma hospitalization | 0.384047 |
| Queen Elizabeth Hospital | 0.42441 |
| preventable hospitalization | 0.946344 |
| preventable hospitalization rates | 0.427828 |
| potentially preventable hospitalization | 0.413858 |
| study | 0.350157 |
| average annual increase | 0.413677 |
| Barbados Statistical Services | 0.314605 |
| preventable hospitalization diagnoses | 0.37822 |
| Public health professionals | 0.307015 |
| public health | 0.797211 |
| health care | 0.621383 |
| public health care | 0.312989 |
| chronic diseases | 0.339953 |
| health data | 0.292994 |
| primary health care | 0.512759 |
| Barbados such data | 0.29939 |
| children’s health | 0.312922 |
| ambulatory care-sensitive conditions | 0.620402 |
| Barbados Ministry | 0.293175 |
| Barbados | 0.630194 |
| asthma hospitalization rates | 0.351075 |
|
CLICK HERE |
| 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 |
|
CLICK HERE |
| 13903 |
Centers for Disease Control and Prevention |
Html |
en |
World AIDS Day - December 1, 2015 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| endorsement | 0.501465 |
| Human Services | 0.759536 |
| U.S. Department | 0.756116 |
| MMWR HTML versions | 0.73791 |
| AIDS Relief | 0.602572 |
| identification | 0.431796 |
| electronic PDF version | 0.723417 |
| Emergency Plan | 0.600874 |
| middle-income countries | 0.616162 |
| issue | 0.464296 |
| epidemic worldwide | 0.625002 |
| AIDS-related deaths | 0.620279 |
| Contact GPO | 0.621061 |
| commercial sources | 0.592332 |
| World AIDS | 0.816397 |
| current prices | 0.582501 |
| persons | 0.616009 |
| principal agency | 0.595134 |
| original paper copy | 0.716366 |
| Internet | 0.431406 |
| Global efforts | 0.594246 |
| human immunodeficiency | 0.660637 |
| Puerto Rico | 0.588698 |
| United States | 0.595196 |
|
| original MMWR paper | 0.730119 |
| U.S. Government Printing | 0.726212 |
| antiretroviral therapy | 0.615157 |
| Superintendent | 0.435793 |
| Time | 0.436602 |
| U.S. President | 0.597483 |
| MMWR readers | 0.597176 |
| character translation | 0.581106 |
| immunodeficiency syndrome | 0.661064 |
| end | 0.434097 |
| format errors | 0.583336 |
| current status | 0.623244 |
| HIV/AIDS | 0.434133 |
| cases | 0.434874 |
| Health | 0.463175 |
| typeset documents | 0.5903 |
| trade names | 0.592494 |
| official text | 0.578451 |
| non-CDC sites | 0.587117 |
| References | 0.43146 |
| organizations | 0.431245 |
| attention | 0.432592 |
| electronic conversions | 0.577481 |
| HIV infection | 0.941511 |
|
CLICK HERE |
| 15956 |
Centers for Disease Control and Prevention |
Html |
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 |