Research Institute for Public Health, National Medical Center, Seoul 04564, Republic of Korea.
Research Institute for Public Health, National Medical Center, Seoul 04564, Republic of Korea; Department of Infectious disease, National Medical Center, Seoul 04564, Republic of Korea.
Sci Total Environ. 2022 Aug 1;832:154981. doi: 10.1016/j.scitotenv.2022.154981. Epub 2022 Apr 2.
The rapid spread of COVID-19 has caused an emergency situation worldwide. Investigating the association between environmental characteristics and COVID-19 incidence can be of the occurrence and transmission. The objective of this study was to evaluate the association between greenness exposure and COVID-19 cases at the district levels in South Korea. We also explored this association by considering several environmental indicators.
District-level data from across South Korea were used to model the cumulative count of COVID-19 cases per 100,000 persons between January 20, 2020, and February 25, 2021. Greenness exposure data were derived from the Environmental Geographic Information Service of the Korean Ministry of Environment. A negative binomial mixed model evaluated the association between greenness exposure and COVID-19 incidence rate at the district level. Furthermore, we assessed this association between demographic, socioeconomic, environmental statuses, and COVID-19 incidence.
Data from 239 of 250 districts (95.6%) were included in the analyses, resulting in 127.89 COVID-19 cases per 100,000 persons between January 20, 2020 and February 25, 2021. Several demographic and socioeconomic variables, districts with a higher rate of natural greenness exposure, were significantly associated with lower COVID-19 incidence rates (incidence rate ratio (IRR), 0.70; 95% confidence interval (CI), 0.54-0.90; P-value = 0.008) after adjusting covariates, but no evidence for the association between built greenness and COVID-19 incidence rates was found.
In this ecological study of South Korea, we found that higher rates of exposure to natural greenness were associated with lower rates of COVID-19 cases.
COVID-19 的迅速传播在全球范围内造成了紧急情况。研究环境特征与 COVID-19 发病率之间的关联有助于了解疾病的发生和传播。本研究的目的是评估韩国各地区绿色暴露与 COVID-19 病例之间的关联。我们还通过考虑几个环境指标来探索这种关联。
使用韩国各地的地区级数据,对 2020 年 1 月 20 日至 2021 年 2 月 25 日期间每 10 万人中 COVID-19 病例的累计计数进行建模。绿色暴露数据来自韩国环境部的环境地理信息服务。负二项混合模型评估了地区层面绿色暴露与 COVID-19 发病率之间的关联。此外,我们评估了人口统计学、社会经济、环境状况与 COVID-19 发病率之间的这种关联。
纳入分析的 239 个区(95.6%)的数据显示,2020 年 1 月 20 日至 2021 年 2 月 25 日期间,每 10 万人中有 127.89 例 COVID-19 病例。在调整了协变量后,几个人口统计学和社会经济变量、自然绿色暴露率较高的地区与较低的 COVID-19 发病率显著相关(发病率比(IRR),0.70;95%置信区间(CI),0.54-0.90;P 值=0.008),但未发现建筑绿化与 COVID-19 发病率之间存在关联。
在这项针对韩国的生态研究中,我们发现较高的自然绿色暴露率与较低的 COVID-19 病例率相关。