Mapping the intercounty transmission risk of COVID-19 in New York State

Abstract

This paper investigates COVID-19 transmission risks among New York counties in the early stages of the pandemic. It makes two key contributions: first, assessing outbreak severity in different counties using public COVID-19 case data, identifying Queens, Kings, Westchester, Nassau, Bronx, Suffolk, and New York as severely affected areas. Second, by analyzing transportation commuting data, it evaluates potential disease spreading risks. Major spreaders include Queens, Kings, Westchester, New York, and Monroe due to high-volume, bi-directional commuting patterns. Counties like Saratoga and Oneida spread fewer outgoing cases, while Suffolk and Bronx are more affected by incoming cases. Counties with low inter-county commutes are considered "community spreaders," with mid-level severity seen in Rockland, Richmond, Essex, and Orange. The study underscores the need to monitor counties with low severity scores but significant transportation connections, such as Monroe, Saratoga, and Oneida, which could become future outbreak centers.

Team

Shunhua Bai , Junfeng Jiao, Yefu Chen

Acknowledgment

This project was supported by the Good System Grand Challenge and the Cooperative Mobility for Competitive Megaregions (CM2) center both at The University of Texas at Austin.

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