کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7495763 | 1485752 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Kernel density analysis reveals a halo pattern of breast cancer incidence in Connecticut
ترجمه فارسی عنوان
تجزیه و تحلیل چگالی هسته نشان می دهد یک الگوی هاله از بروز سرطان پستان در کانکتیکات
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کلمات کلیدی
موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
سیاست های بهداشت و سلامت عمومی
چکیده انگلیسی
Breast cancer (BC) incidence rates in Connecticut are among the highest in the United States, and are unevenly distributed within the state. Our goal was to determine whether artificial light at night (ALAN) played a role. Using BC records obtained from the Connecticut Tumor Registry, we applied the double kernel density (DKD) estimator to produce a continuous relative risk surface of a disease throughout the State. A multi-variate analysis compared DKD and census track estimates with population density, fertility rate, percent of non-white population, population below poverty level, and ALAN levels. The analysis identified a “halo” geographic pattern of BC incidence, with the highest rates of the disease observed at distances 5-15 km from the state's major cities. The “halo” was of high-income communities, with high ALAN, located in suburban fringes of the state's main cities.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Spatial and Spatio-temporal Epidemiology - Volume 26, August 2018, Pages 143-151
Journal: Spatial and Spatio-temporal Epidemiology - Volume 26, August 2018, Pages 143-151
نویسندگان
Natalya Rybnikova, Richard G. Stevens, David I. Gregorio, Holly Samociuk, Boris A. Portnov,