The fine-scale associations between socioeconomic status, density, functionality, and spread of COVID-19 within a high-density city.

ABSTRACT:

Background

Motivated by the need for precise epidemic control and epidemic-resilient urban design, this study aims to reveal the joint and interactive associations between urban socioeconomic, density, connectivity, and functionality characteristics and the COVID-19 spread within a high-density city. Many studies have been made on the associations between urban characteristics and the COVID-19 spread, but there is a scarcity of such studies in the intra-city scale and as regards complex joint and interactive associations by using advanced machine learning approaches.

Methods

Differential-evolution-based association rule mining was used to investigate the joint and interactive associations between the urban characteristics and the spatiotemporal distribution of COVID-19 confi

SUBMITTER: Zhang A 

PROVIDER: S-EPMC8936044 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature