Exploring spatially varying demographic associations with gonorrhea incidence in Baltimore, Maryland, 2002-2005.

Exploring spatially varying demographic associations with gonorrhea incidence in Baltimore, Maryland, 2002-2005.
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DOI:
10.1007/s10109-020-00321-7
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发表时间:
2020-04
影响因子:
2.9
通讯作者:
Waller LA
Waller LA
中科院分区:
地球科学3区
文献类型:
--
作者:
Switchenko JM;Jennings JM;Waller LA

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在淋病风险和人口特征之间建立空间联系的能力是提高疾病意识和更有效预防技术的重要一步。过去的空间分析集中在风险的地方变化,但不是在与人口统计学的关联的空间变化。我们从巴尔的摩市卫生局收集了2002年至2005年的数据,并通过使用泊松地理加权回归(PGWR)允许关联的空间变化,评估了已知与巴尔的摩淋病风险相关的人口统计学特征。PGWR地图揭示了种族,教育和贫困与淋病风险之间的地方关系的变化,这些变化以前没有被捕获。我们确定,PGWR模型提供了一个更好的拟合数据,并产生了一个更微妙的解释的“核心领域”的风险。PGWR模型对疾病风险和人口特征之间的空间差异进行量化,为高风险的核心地区提供了当地和人口结构。
The ability to establish spatial links between gonorrhea risk and demographic features is an important step in disease awareness and more effective prevention techniques. Past spatial analyses focused on local variations in risk, but not on spatial variations in associations with demographics. We collected data from the Baltimore City Health Department from 2002 to 2005 and evaluated demographic features known to be associated with gonorrhea risk in Baltimore, by allowing spatial variation in associations using Poisson geographically weighted regression (PGWR). The PGWR maps revealed variations in local relationships between race, education, and poverty with gonorrhea risk which were not captured previously. We determined that the PGWR model provided a significantly better fit to the data and yields a more nuanced interpretation of “core areas” of risk. The PGWR model’s quantification of spatial variation in associations between disease risk and demographic features provides local and demographic structure to core areas of higher risk.
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