Scale-specific effects of urban landscape pattern on the COVID-19 epidemic in Hangzhou, China

景观生态学 2019年冠状病毒病(COVID-19) 中国 地理 自然保护 2019-20冠状病毒爆发 比例(比率) 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 可持续发展 生态学 经济地理学 环境规划 环境资源管理 生物 病毒学 地图学 环境科学 爆发 医学 传染病(医学专业) 考古 栖息地 疾病 病理
作者
Junbin Chen,Zhou Sun,Yu Wu,Guang Hu,Yanping Wen
出处
期刊:Landscape Ecology [Springer Science+Business Media]
卷期号:39 (11)
标识
DOI:10.1007/s10980-024-01998-7
摘要

Abstract Context Understanding the scale-specific effects of different landscape variables on the COVID-19 epidemics is critical for developing the precise and effective prevention and control strategies within urban areas. Objective Based on the landscape epidemiology framework, we analyzed the scale-specific effects of urban landscape pattern on COVID-19 epidemics in Hangzhou, China. Methods We collected COVID-19 cases in Hangzhou from 2020‒2022 and combined the datasets of land use and land cover (LULC) and social gathering point (SGP) to quantify the urban landscape pattern. Optimal general linear model with stepwise regression was applied to explore the dominant landscape factors driving the COVID-19 transmission in the city. Furthermore, multi-scale geographically weighted regression illustrated the spatial heterogeneity and scale specificity of these landscape variables’ effects to COVID-19 epidemic. Results Eight landscape variables of LULC and SGP patterns were identified which explained 68.5% of the variance in spatial risk of COVID-19. Different optimal bandwidths across these variables in MGWR indicated their scale-specific effects. LSI of green space enhanced the spatial risk across the entire region. The effects of landscape contagion, the number of water bodies, LSI of cropland and built-up areas, and the density of commercial houses were detected to vary between urban and suburban areas. The effects of LSI of water bodies and the density of shopping malls were found to vary among different districts. Conclusions In this study, we firstly discriminated the scale-specific effects of different landscape variables on the COVID-19 epidemic in the urban region. These findings can help to optimize the differentiated zoning prevention and control strategies for COVID-19 in cities and guide policy-making and urban planning at a multi-scale hierarchical perspective to improve public health and urban sustainability.

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