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NCIRD | DBD Bulletin Spring 2013 | Communications | CDC |
Division of Bacterial Diseases Bulletin Winter |
| annual observance | 0.6607 |
| comprehensive experience | 0.650459 |
| user-friendly websites | 0.650231 |
| video commentaries | 0.669891 |
| individual members | 0.661527 |
| Tdap shot | 0.637519 |
| Asia Pacific | 0.661227 |
| Meningitis Organizations | 0.77893 |
| immunization program | 0.670518 |
| national capacity | 0.63397 |
| Medscape’s physicians | 0.685227 |
| pneumococcal conjugate vaccine | 0.80216 |
| historical reasons | 0.669199 |
| middle-income countries | 0.644508 |
| Médecine Préventive | 0.637476 |
| community levels | 0.651331 |
| current topics | 0.64526 |
| economic analysis | 0.635309 |
| global virtual community | 0.787643 |
| new vaccine introduction | 0.789484 |
| Pontiac fever | 0.645507 |
| Tami Skoff | 0.650462 |
| Pregnant women | 0.640405 |
| American Health Organization | 0.749566 |
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| Medscape Videos | 0.686359 |
| long term | 0.640101 |
| Fabien Diomandé | 0.666016 |
| best ways | 0.639253 |
| powerful tools | 0.647218 |
| multidisciplinary teams | 0.631351 |
| local events | 0.658718 |
| New Websites | 0.656508 |
| vaccine cost-effectiveness | 0.687347 |
| World Immunization | 0.789285 |
| private sectors | 0.645538 |
| GAVI Alliance | 0.652433 |
| healthcare professionals | 0.646477 |
| Deadly Pertussis | 0.690038 |
| Rana Hajjeh | 0.643434 |
| authoritative guidance | 0.639744 |
| ProVac International Initiative | 0.814034 |
| Ryan Novak | 0.653514 |
| special series | 0.646874 |
| Vaccine Guidelines | 0.679627 |
| urgent treatment | 0.662102 |
| CDC’s commentaries | 0.749974 |
| evidence-based decisions | 0.630342 |
| World Meningitis | 0.928344 |
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Handwashing: Clean Hands Save Lives |
Information about handwashing and hand hygiene |
| germs | 0.876249 |
| best ways | 0.82129 |
| hands | 0.256767 |
| vaccine—it | 0.262549 |
| respiratory illness | 0.943602 |
| Regular handwashing | 0.751315 |
| importance | 0.249918 |
| effective steps | 0.91711 |
| Wet | 0.28506 |
| Dry | 0.276332 |
|
| Lather | 0.371214 |
| water | 0.34187 |
| spread | 0.51498 |
| Scrub | 0.334241 |
| home | 0.230055 |
| certain activities | 0.848175 |
| diarrheal | 0.356812 |
| hand hygiene | 0.751108 |
| Rinse | 0.377218 |
| win | 0.243249 |
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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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February is American Heart Month'DHDSP'CDC |
null |
| heart health | 0.582396 |
| Heartsâ„¢ | 0.490293 |
| heart attacks | 0.615632 |
| death | 0.448487 |
| United States | 0.657952 |
| Human Services | 0.630967 |
| Cardiovascular disease | 0.64631 |
| cause | 0.448969 |
| prescription instructions | 0.616383 |
| vegetables | 0.444364 |
| Prevention | 0.445572 |
| Department | 0.443439 |
| heart disease | 0.97141 |
| American Heart | 0.649112 |
|
| deaths | 0.521287 |
| heart-healthy diet | 0.665018 |
| visit http://millionhearts.hhs.gov | 0.62135 |
| strokes | 0.455944 |
| calories | 0.45742 |
| stroke | 0.592272 |
| steps | 0.44393 |
| national initiative | 0.633667 |
| sodium | 0.449795 |
| risks | 0.444838 |
| heart-healthy choices | 0.700489 |
| fresh fruits | 0.618057 |
| ones | 0.444515 |
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Centers for Disease Control and Prevention |
Html |
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Our History - Our Story |
Story about Centers for Disease Control and Prevention (CDC), orginally called Communicable Disease Center, located in Atlanta, Georgia. |
| public health issues | 0.560598 |
| CDC | 0.927106 |
| Mortality Weekly Report | 0.494132 |
| Emory University | 0.458276 |
| health surveillance | 0.479924 |
| Clifton Road | 0.457969 |
| premiere health promotion | 0.533825 |
| agency Malaria Control | 0.528479 |
| early organization chart | 0.50664 |
| Disease Control | 0.460583 |
| environmental health threats | 0.5253 |
| visionary public health | 0.551902 |
| public health worldwide | 0.547369 |
| disease surveillance | 0.467465 |
| global health | 0.478823 |
| high hopes | 0.459036 |
| preparedness agencies | 0.458273 |
| CDC headquarters. | 0.644629 |
| early challenges | 0.513699 |
| major operating components | 0.506972 |
| Joseph Mountin | 0.467682 |
| impactful agency | 0.458485 |
| past CDC directors | 0.655075 |
| David J. Sencer | 0.508785 |
| disease prevention strategies | 0.508471 |
|
| Human Serves | 0.45796 |
| communicable diseases | 0.522045 |
| disease outbreaks | 0.460923 |
| CDC Founder Dr. | 0.715151 |
| health policies | 0.478772 |
| relatively insignificant branch | 0.514123 |
| primary mission | 0.46509 |
| small building | 0.464842 |
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| key public health | 0.528635 |
| health departments | 0.521278 |
| international disease transmission | 0.502376 |
| local health departments | 0.519667 |
| visionary leadership | 0.458769 |
| public health | 0.777128 |
| CDC′s early challenges | 0.50716 |
| malaria zone | 0.484696 |
| Communicable Disease Center | 0.62689 |
| medical epidemiologists | 0.461862 |
| practical help | 0.459466 |
| Dr. Sencer | 0.463643 |
| War Areas | 0.458441 |
| public health efforts | 0.534319 |
| Public Health Service | 0.551103 |
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Occupational Hearing Loss (OHL) Surveillance - Project Description and Status - NIOSH Workplace Safety and Health Topic |
Motivation, Description, Status |
| high risk groups | 0.345052 |
| United States | 0.450857 |
| national surveillance | 0.266977 |
| Charles C. Shepard | 0.560317 |
| occupational hearing loss | 0.55393 |
| related demographic data | 0.328923 |
| research efforts | 0.202838 |
| loss prevention efforts | 0.384865 |
| private sector audiograms | 0.313336 |
| de-identified audiograms | 0.244807 |
| NIOSH OHL Surveillance | 0.770027 |
| key shortcoming | 0.232079 |
| North American Industry | 0.324504 |
| Project article | 0.280009 |
|
| United States Air | 0.31044 |
| ) prevention. | 0.295587 |
| NIOSH nomination | 0.537244 |
| audiometric service providers | 0.357968 |
| National Academy | 0.204013 |
| C. Shepard Science | 0.56013 |
| surveillance data | 0.291519 |
| Prevention Research Project | 0.401086 |
| hearing loss surveillance | 0.663673 |
| data collection | 0.333736 |
| de-identified worker audiograms | 0.39615 |
| hearing loss | 0.983433 |
| NIOSH Hearing Loss | 0.868697 |
| Shepard Science Award | 0.559943 |
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Html |
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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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Global Routine Vaccination Coverage, 2014 |
Saleena Subaiya, MD1,2; Laure Dumolard, PhD3; Patrick Lydon, MPH3; Marta Gacic-Dobo, MSc3; Rudolf Eggers, MMed(Civ)3; Laura Conklin, MD1. |
| routine immunization visits | 0.341567 |
| rubella-containing vaccine | 0.370541 |
| national level stockout | 0.601044 |
| immunization program performance | 0.374704 |
| national dtp3 coverage | 0.515427 |
| district level stockout | 0.343799 |
| rotavirus vaccine | 0.37912 |
| vaccine doses | 0.435141 |
| vaccine stock management | 0.692635 |
| vaccination coverage | 0.435711 |
| national coverage | 0.360593 |
| immunization programs | 0.342987 |
| vaccine dose | 0.426177 |
| routine immunization | 0.588585 |
| adequate vaccine stock | 0.468023 |
| measles vaccine | 0.420298 |
| important vaccine | 0.360634 |
| health care workers | 0.343256 |
| global vaccination coverage | 0.335295 |
| vaccine birth-dose coverage | 0.510817 |
| pneumococcal conjugate vaccine | 0.441452 |
| routine immunization services | 0.403076 |
| coverage | 0.794368 |
|
| national immunization coverage | 0.443616 |
| high immunization coverage | 0.428676 |
| World Health Organization | 0.396837 |
| vaccine industry | 0.354702 |
| hepatitis B vaccine | 0.450608 |
| poliovirus vaccine boosters | 0.432407 |
| Rubella vaccine | 0.378402 |
| global coverage | 0.459853 |
| routine immunization schedule | 0.578985 |
| countries | 0.581861 |
| vaccine preventable diseases | 0.466724 |
| vaccine delivery | 0.357924 |
| vaccine | 0.938831 |
| DTP vaccine | 0.473757 |
| national immunization schedules | 0.366962 |
| measles-containing vaccine | 0.503599 |
| additional vaccines | 0.394162 |
| infant immunization schedule | 0.375927 |
| target age group | 0.514382 |
| Global Vaccine Action | 0.436022 |
| DTP-containing vaccine shortages | 0.430835 |
| type b vaccine | 0.377693 |
| poliovirus vaccine | 0.61625 |
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Five Minute Weekly Tip Heart Attack - Family Health |
Family health information from the Centers for Disease Control and Prevention (CDC) |
| symptoms | 0.268746 |
| heart attack | 0.989122 |
| signs | 0.269014 |
| act | 0.26794 |
|
| chances | 0.342874 |
| person | 0.309144 |
| heart attack increase | 0.870347 |
| 9-1-1 | 0.267309 |
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Centers for Disease Control and Prevention |
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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 |
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