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Preventing Chronic Disease | Development of a Community-Sensitive Strategy to Increase Availability of Fresh Fruits and Vegetables in Nashville™s Urban Food Deserts, 2010"2012 - CDC |
Food deserts, areas that lack full-service grocery stores, may contribute to rising rates of obesity and chronic diseases among low-income and racial/ethnic minority residents. Our corner store project, part of the Centers for Disease Control and Prevention’s Communities Putting Prevention to Work initiative, aimed to increase availability of healthful foods in food deserts in Nashville, Tennessee. |
| corner store intervention | 0.509224 |
| healthful food categories | 0.456722 |
| Community Food Advocates | 0.489435 |
| Nashville’s food | 0.433861 |
| corner store proprietors | 0.459739 |
| store audits | 0.425965 |
| CPPW corner store | 0.491581 |
| store proprietors | 0.468916 |
| healthful options | 0.440426 |
| corner store project | 0.484713 |
| Supplemental Nutrition Assistance | 0.458188 |
| full-service grocery stores | 0.596421 |
| corner store owners | 0.455156 |
| corner stores | 0.590234 |
| healthful food | 0.540762 |
| contract staff member | 0.422828 |
| community | 0.524776 |
| corner store | 0.93179 |
| fresh fruits | 0.644395 |
| corner store team | 0.562496 |
| corner store version | 0.46242 |
| store owners | 0.592918 |
| fast food restaurants | 0.422966 |
| Determining Food Deserts | 0.438587 |
|
| whole-wheat bread | 0.557643 |
| similar corner store | 0.453529 |
| community members | 0.514303 |
| neighborhood corner stores | 0.47167 |
| Metro Public Health | 0.42982 |
| food deserts | 0.892337 |
| full-service grocery store | 0.423622 |
| Nashville corner store | 0.463204 |
| Public Health Department | 0.466808 |
| technical assistance | 0.452638 |
| food desert scores | 0.436422 |
| corner store initiative | 0.68657 |
| corner store management | 0.454504 |
| Work corner store | 0.462104 |
| Nutrition Assistance Program | 0.461124 |
| food desert | 0.495762 |
| Urban Food Deserts | 0.478557 |
| corner store brand | 0.452007 |
| stores | 0.59767 |
| nonfat milk | 0.570649 |
| healthful food resources | 0.465908 |
| healthful food access | 0.478801 |
| healthful foods | 0.589189 |
| neighborhood corner store | 0.490299 |
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Science Clips - Monday, January 17, 2011 |
null |
| endorsement | 0.237334 |
| United States | 0.765028 |
| non-parenting adolescents | 0.280746 |
| current awareness | 0.268359 |
| spina bifida | 0.296051 |
| positive HIV diagnosis | 0.424208 |
| initial responses | 0.271791 |
| Pediatric HIVQUAL-T | 0.270864 |
| pandemic influenza | 0.287654 |
| insured persons | 0.278641 |
| Disease Control | 0.266484 |
| related conditions | 0.283957 |
| CDC Science Clips | 0.921796 |
| Outpatient medical conditions | 0.433801 |
| data sets | 0.285714 |
| pediatric HIV care | 0.41601 |
| factual accuracy | 0.267535 |
| weekly digest | 0.300101 |
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| Caribbean people | 0.268487 |
| Science Clips | 0.931135 |
| informational purposes | 0.255565 |
| Chief Science Officer | 0.462784 |
| public health literature | 0.407021 |
| B. Thacker CDC | 0.984185 |
| systematic review | 0.283447 |
| original authors | 0.267755 |
| DHHS | 0.299986 |
| non-CDC Websites | 0.266576 |
| sexually transmitted diseases | 0.423502 |
| original sources | 0.28667 |
| public domain | 0.287183 |
| news sources | 0.267664 |
| et al | 0.265474 |
| Stephen B. Thacker | 0.77738 |
| socioeconomic status | 0.448286 |
| Thacker CDC Library | 0.983942 |
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Centers for Disease Control and Prevention |
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Symptoms of Breast Cancer |
A list of possible breast cancer symptoms. |
| small fluid-filled sacs | 0.495639 |
| warning signs | 0.321936 |
| fibrocystic breast condition | 0.696198 |
| Fibrocystic condition | 0.339951 |
| Different people | 0.328288 |
| different symptoms | 0.32181 |
| breast cancer | 0.918135 |
| breast lumps | 0.676159 |
| breast cancer are— | 0.737302 |
|
| breasts | 0.317277 |
| noncancerous changes | 0.326492 |
| common causes | 0.292999 |
| medical conditions | 0.28984 |
| cysts | 0.209512 |
| National Cancer Institute | 0.466424 |
| routine mammogram | 0.371534 |
| certain medications | 0.322342 |
| breast | 0.919058 |
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Centers for Disease Control and Prevention |
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Progress in Immunization Information Systems - 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. |
| effective immunization strategies | 0.314648 |
| immunization program grantees | 0.647568 |
| U.S. vaccination provider | 0.328364 |
| effective methods | 0.30862 |
| site participation rates | 0.34305 |
| United States | 0.404857 |
| child participation rates | 0.338989 |
| vaccination provider sites | 0.565323 |
| IIS data | 0.424394 |
| vaccine inventory | 0.433646 |
| vaccine inventory management | 0.395358 |
| enrolled provider sites | 0.30731 |
| review patient vaccine | 0.32142 |
| vaccination coverage | 0.310929 |
| IIS Annual Report | 0.45117 |
| immunization programs | 0.410432 |
| private provider site | 0.334472 |
| IIS functions | 0.426206 |
| U.S. children | 0.354581 |
| immunization information systems | 0.361605 |
| private vaccination provider | 0.313888 |
| population-based IIS | 0.41641 |
| greater accountability | 0.309373 |
| participation rates | 0.442605 |
|
| IIS utility | 0.413061 |
| public provider sites | 0.340963 |
| percentage point increase | 0.318872 |
| IIS grantees | 0.435486 |
| VTrckS | 0.403574 |
| vaccine inventory systems | 0.332964 |
| IIS meeting | 0.400114 |
| immunization program levels | 0.319084 |
| IIS achievements | 0.382034 |
| child participation | 0.377012 |
| vaccine tracking | 0.370971 |
| IIS | 0.954205 |
| vaccine | 0.639545 |
| available data | 0.338856 |
| provider sites | 0.799824 |
| vaccination providers | 0.653954 |
| private provider sites | 0.403256 |
| New Hampshire | 0.310555 |
| publicly purchased vaccine | 0.636267 |
| vaccination data | 0.350291 |
| vaccine orders | 0.33659 |
| provider site participation | 0.727628 |
| VTrckS ExIS interface | 0.315765 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Differences in the Delivery of Health Education to Patients With Chronic Disease by Provider Type, 2005"2009 - CDC |
Health education provided to patients can reduce mortality and morbidity of chronic disease. Although some studies describe the provision of health education by physicians, few studies have examined how physicians, physician assistants, and nurse practitioners differ in the provision of health education. The objective of our study was to evaluate the rate of health education provision by physicians, physician assistants, and nurse practitioners/certified midwives. |
| health education | 0.991991 |
| data | 0.359573 |
| Physician assistant training | 0.346299 |
| ischemic heart disease | 0.389045 |
| training programs | 0.34959 |
| physicians | 0.394422 |
| Hospital Ambulatory Medical | 0.36051 |
| health care providers | 0.382811 |
| health counseling | 0.348825 |
| Introduction
Health education | 0.38745 |
| health professionals | 0.349274 |
| nurse practitioner training | 0.363074 |
| patients | 0.447357 |
| Ann Fam Med | 0.349891 |
| weight reduction education | 0.34635 |
| health care teams | 0.366581 |
| outpatient department | 0.360703 |
| Acad Nurse Pract | 0.355079 |
| primary care physicians | 0.351043 |
| National Hospital Ambulatory | 0.358878 |
| nurse practitioner programs | 0.357828 |
| chronic condition–specific health | 0.380283 |
| condition-specific education | 0.352667 |
| stress management | 0.359589 |
| obstructive pulmonary disease | 0.416457 |
|
| health care needs | 0.366429 |
| Nebraska Medical Center | 0.362194 |
| physician training programs | 0.346517 |
| study | 0.354219 |
| stress management education | 0.347792 |
| health education provision | 0.437305 |
| nurse practitioner | 0.442604 |
| provider types | 0.347757 |
| Ambulatory Medical Care | 0.369932 |
| Veterans Administration health | 0.350077 |
| quality health education | 0.381301 |
| diabetes care | 0.350495 |
| nurse practitioners | 0.813726 |
| provider type | 0.421801 |
| physician assistant practices | 0.34671 |
| ambulatory care | 0.349863 |
| condition–specific health education | 0.395998 |
| chronic conditions | 0.401074 |
| Medical Care Survey | 0.370146 |
| physician assistant | 0.416146 |
| health education elements | 0.372503 |
| physician assistants | 0.667022 |
| primary care | 0.424284 |
| condition-specific health education | 0.371672 |
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Cervical Cancer Rates Among Young Women in the United States |
This study used two federal cancer surveillance systems to describe cervical cancer rates among women younger than 40 years old. |
| young women | 0.772725 |
| End Results Program | 0.670494 |
| abnormal results | 0.63597 |
| sexually transmitted infection | 0.676859 |
| harm | 0.518968 |
| United States | 0.58986 |
| Castle PE | 0.594829 |
| unnecessary treatment | 0.593372 |
| Watson | 0.516392 |
| additional procedures | 0.590567 |
| abnormal Pap | 0.721754 |
| Epidemiology | 0.518489 |
| HPV | 0.521169 |
| follow-up | 0.522049 |
| age— | 0.516712 |
| regular screening | 0.619996 |
| studies | 0.517115 |
| cervical cancer rates | 0.798927 |
|
| cases | 0.518382 |
| federal cancer surveillance | 0.685807 |
| young females | 0.593424 |
| abnormalities | 0.521143 |
| Gynecology | 0.51926 |
| Benard VB | 0.602749 |
| abnormal Pap tests | 0.712078 |
| older women | 0.613475 |
| National Program | 0.591201 |
| cervical cancer | 0.980781 |
| abnormal Pap test | 0.70782 |
| Obstetrics | 0.519361 |
| Cervical cancer screening | 0.849328 |
| Cancer Registries | 0.607423 |
| doctors | 0.537572 |
| human papillomavirus | 0.602281 |
| M. Cervical carcinoma | 0.784867 |
| national organizations | 0.597311 |
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Epilepsy Features |
The CDC Epilepsy Program creates features in order to bring attention to important issues and topics.
|
| epilepsy | 0.90982 |
| important epilepsy issues | 0.72678 |
| Veterans | 0.351448 |
| email address | 0.398243 |
| seizure types | 0.423494 |
| emergency | 0.316228 |
| facts | 0.319184 |
| health issues | 0.37477 |
| features | 0.319483 |
| signs | 0.318255 |
| self-management programs | 0.402297 |
| memory problems | 0.38078 |
| smoking | 0.336405 |
| seizures | 0.417164 |
| young children | 0.38296 |
| TBI | 0.320078 |
| CDC Epilepsy Program | 0.734612 |
| TBIs | 0.325838 |
|
| higher risk | 0.38121 |
| Epilepsy Self-Management | 0.638745 |
| overall health | 0.3799 |
| topics | 0.319407 |
| Things | 0.319029 |
| traumatic brain injury | 0.587036 |
| Disaster Preparedness | 0.387351 |
| Spotlight | 0.319963 |
| resources | 0.353194 |
| families | 0.316561 |
| people | 0.371133 |
| Seizure First Aid | 0.41269 |
| health condition | 0.375873 |
| older adults | 0.544864 |
| attention | 0.319024 |
| memory lapses | 0.3878 |
| page | 0.319626 |
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Centers for Disease Control and Prevention |
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CDC Collaborative Study: Influenza Seasonality in the Tropics and Sub-tropics |
Spotlight highlighting a new collaborative study by CDC |
| South America | 0.527029 |
| new collaborative study | 0.543042 |
| peak flu activity | 0.54805 |
| southern hemisphere formulation | 0.532636 |
| vaccination campaigns | 0.501568 |
| influenza virological surveillance | 0.691399 |
| southern hemispheres | 0.47907 |
| maternal influenza immunization | 0.732942 |
| sub-tropics | 0.498231 |
| local flu seasonality | 0.563212 |
| production cycle | 0.475501 |
| seasonal influenza vaccination | 0.855201 |
| optimal timing | 0.483248 |
| influenza vaccination campaign | 0.733347 |
| Health Organization | 0.477 |
| middle-income countries | 0.498416 |
| different statistical approaches | 0.511796 |
| influenza activity | 0.908284 |
| increased activity | 0.474132 |
| countries | 0.577653 |
| National surveillance data | 0.514632 |
| influenza virus circulation | 0.757724 |
| alternate vaccination times | 0.537348 |
| influenza surveillance | 0.675252 |
| distinct influenza peak | 0.727416 |
|
| influenza activity data | 0.701135 |
| influenza | 0.940297 |
| year-round influenza activity | 0.704239 |
| temperate regions | 0.473078 |
| northern hemisphere formulation | 0.532259 |
| bi-annual World Health | 0.540926 |
| Health Services Research | 0.515329 |
| local seasonality | 0.503147 |
| influenza vaccine composition | 0.762081 |
| influenza vaccine formulation | 0.779496 |
| immunization programs | 0.474179 |
| sub-Saharan countries | 0.495087 |
| largest global database | 0.512607 |
| multiple peaks | 0.484435 |
| journal PLOS | 0.48994 |
| additional secondary peak | 0.523743 |
| distinct peaks | 0.479263 |
| study results | 0.475316 |
| virus vaccine recommendation | 0.518819 |
| influenza seasonality patterns | 0.805131 |
| global health partners | 0.542063 |
| Thirty-seven countries | 0.496392 |
| Latin American region | 0.528463 |
| secondary peaks | 0.47365 |
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Managing Diabetes | Diabetes |
This page has information on how to stay healthy and be active when living with diabetes. |
| life—than | 0.425368 |
| better treatments | 0.818766 |
| United States | 0.94186 |
| Thanks | 0.519884 |
|
| ones | 0.47776 |
| choices | 0.491625 |
| diabetes | 0.913985 |
| better quality | 0.80728 |
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Common Cold |
Sore throat and runny nose are usually the first signs of the common cold. Most people recover within 7-10 days. Reduce your risk of getting a cold by washing your hands often and avoiding touching your face with unwashed hands. |
| ease symptoms | 0.238983 |
| United States | 0.271034 |
| alcohol-based hand sanitizer | 0.911695 |
| runny nose | 0.902335 |
| body aches | 0.56839 |
| Over-the-counter medicines | 0.26227 |
| Sick people | 0.252823 |
| regular handwashing | 0.481952 |
| children | 0.297538 |
| cold wash hands | 0.55019 |
| immune systems | 0.287568 |
| sore throat | 0.87306 |
| Common colds | 0.422302 |
| main reason | 0.269086 |
| young children | 0.229384 |
|
| close contact | 0.214007 |
| personal contact | 0.256577 |
| breathing passages | 0.282819 |
| viruses | 0.305551 |
| unwashed hands | 0.53759 |
| post-nasal drip | 0.243049 |
| colds | 0.744638 |
| people | 0.341654 |
| mucus fills | 0.319848 |
| watery eyes | 0.566922 |
| symptoms | 0.372885 |
| green color | 0.245031 |
| cold medicines | 0.255642 |
| child nonprescription | 0.249792 |
| soap | 0.298592 |
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