可修改面积单位问题 (MAUP) 对COVID-19废水监测数据空间聚合的影响
Yifan Zhu1, Dustin T Hill1, Yiquan Zhou1
1Syracuse University, Department of Public Health, Syracuse, NY, USA.
The Science of the total environment
|November 21, 2024
概括
可修改面积单位问题 (MAUP) 通过改变数据准确性,影响废水流行病学. 虽然它可以掩盖高风险地区,但MAUP也改善了废水监测和临床数据之间的相关性.
科学领域:
- 环境科学环境科学
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 基于废水的流行病学 (WBE) 项目通常需要空间聚合,可能引入偏差.
- 可修改面积单位问题 (MAUP) 是一种影响空间数据分析的统计偏差.
- 了解MAUP的影响对于准确解释WBE数据至关重要.
研究的目的:
- 为了检查在纽约州的一个COVID-19 WBE项目上MAUP缩放效应.
- 评估MAUP对SARS-CoV-2度差异的影响,WBE与临床数据的相关性以及风险水平评估.
- 量化MAUP对WBE数据代表性和准确性的影响.
主要方法:
- 在城市级和上游废水采样地点之间比较SARS-CoV-2度.
- 分析了废水处理厂 (WWTP) 和县级 WBE 数据与临床指标之间的相关性.
- 在不同的空间尺度上,受错调整的COVID-19社区风险水平影响的评估人口.
主要成果:
- 通过掩盖高病毒载量或风险区域,MAUP可以对风险感知产生负面影响.
- 在MAUP中,WBE数据与临床测量之间的相关性平均提高了26.02%.
- 空间尺度显著影响WBE数据的解释和准确性.
结论:
- 在WBE数据分析中,MAUP提出了挑战和机遇.
- 未来的WBE项目应该考虑MAUP对改进空间数据解释的影响.
- 解决MAUP可以提高WBE发现的代表性和准确性.
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