Understanding the role of international flight networks in disease spread: spatial epidemic prevention zones and hierarchical disease control policies

This study analyzed the January 2020 international flight network, i.e., during the early global spread of COVID-19, to examine how global air connectivity shaped the timing of first imported cases and to derive policy-relevant spatial risk groupings. Infomap was used to delineate spatial epidemic prevention zones (SEPZs), and network indicators, including PageRank, betweenness centrality, the clustering coefficient, and hyperlink-induced topic search (HITS), were used to characterize the international passenger arrival probability, transfer-related connectivity, connection density, and spatial potential transmission. Passenger arrival probability and connection density were associated with a shorter time to arrival (T2A) of the first imported COVID-19 case, whereas a greater geographical distance was associated with a longer T2A. In contrast, macroscale socioeconomic indicators showed limited explanatory power in the early disease transmission. Building on the SEPZs and spatial transmission potential, we propose a hierarchical disease control framework as a decision-support tool for early-stage cross-border risk assessment and scenario planning.

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Publication Details

Journal
International Journal of Health Geographics
Published
2026-05-18
DOI
https://doi.org/10.1186/s12942-026-00471-9
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Understanding the role of international flight networks in disease spread: spatial epidemic prevention zones and hierarchical disease control policies

Tzai‐Hung Wen, 楊善茵 Shan-Yin Yang, Chun‐Hsiang Chan, Pei-Fen Kuo et al.
International Journal of Health Geographics
COVID-19 epidemiological studies
article

Understanding the role of international flight networks in disease spread: spatial epidemic prevention zones and hierarchical disease control policies

Tzai‐Hung Wen, 楊善茵 Shan-Yin Yang, Chun‐Hsiang Chan, Pei-Fen Kuo, Wei Chien Benny Chin
article en

Abstract

This study analyzed the January 2020 international flight network, i.e., during the early global spread of COVID-19, to examine how global air connectivity shaped the timing of first imported cases and to derive policy-relevant spatial risk groupings. Infomap was used to delineate spatial epidemic prevention zones (SEPZs), and network indicators, including PageRank, betweenness centrality, the clustering coefficient, and hyperlink-induced topic search (HITS), were used to characterize the international passenger arrival probability, transfer-related connectivity, connection density, and spatial potential transmission. Passenger arrival probability and connection density were associated with a shorter time to arrival (T2A) of the first imported COVID-19 case, whereas a greater geographical distance was associated with a longer T2A. In contrast, macroscale socioeconomic indicators showed limited explanatory power in the early disease transmission. Building on the SEPZs and spatial transmission potential, we propose a hierarchical disease control framework as a decision-support tool for early-stage cross-border risk assessment and scenario planning.

International Journal of Health Geographics
National Taiwan Normal University (TW), National University of Singapore (SG), National Taiwan University (TW), National Cheng Kung University (TW)
National Taiwan Normal University
Good health and well-being
Openalex Percentile: Top 6%
COVID-19 epidemiological studies
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