Estimation of transmission distance between cases of (re-)emerging respiratory infectious diseases and its potential application in outbreak response

Quantifying transmission distance helps to understand infectious disease spread patterns, but few studies have assessed this for (re-)emerging respiratory infectious diseases. The COVID-19 pandemic's extensive surveillance and high-quality data in China offer a strong model for studying the spread pattern of respiratory infections. We collected COVID-19 outbreak data from June 2020 to December 2022 in mainland China to estimate transmission distances, examine the association between urban characteristics and transmission distance, and explore its implications in outbreak response. The mean transmission distance of all outbreaks was 18.94 km. This distance varied by SARS-CoV-2 variants, with wild-type outbreaks showing shortest transmission distance (3.08 km) and Omicron outbreaks showing longest transmission distance (20.17 km). Transmission distance was positively associated with city size and total length of roads. Potential transmission areas identified as areas within transmission distance of the first 100 cases contained 63.84-99.61% of cases. Providing testing services to residents in these areas helped to control the outbreak. Our results suggest that transmission distances can help predict where emerging respiratory infectious diseases may spread next spatially and guide the implementation of targeted interventions.

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Publication Details

Journal
Infectious Disease Modelling
Published
2026-02-24
DOI
https://doi.org/10.1016/j.idm.2026.02.001
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Estimation of transmission distance between cases of (re-)emerging respiratory infectious diseases and its potential application in outbreak response

Zhixi Liu, Qianyi Ge, Xueyao Liang, Weibing Wang et al.
Infectious Disease Modelling
COVID-19 epidemiological studies
article

Estimation of transmission distance between cases of (re-)emerging respiratory infectious diseases and its potential application in outbreak response

Zhixi Liu, Qianyi Ge, Xueyao Liang, Weibing Wang, Wenlong Zhu, Minyi Yang, Wenyong Zhou, Zexuan Wen, Bo Zheng, Yang Liu, Xinyu Wang, Ye Yao
article en

Abstract

Quantifying transmission distance helps to understand infectious disease spread patterns, but few studies have assessed this for (re-)emerging respiratory infectious diseases. The COVID-19 pandemic's extensive surveillance and high-quality data in China offer a strong model for studying the spread pattern of respiratory infections. We collected COVID-19 outbreak data from June 2020 to December 2022 in mainland China to estimate transmission distances, examine the association between urban characteristics and transmission distance, and explore its implications in outbreak response. The mean transmission distance of all outbreaks was 18.94 km. This distance varied by SARS-CoV-2 variants, with wild-type outbreaks showing shortest transmission distance (3.08 km) and Omicron outbreaks showing longest transmission distance (20.17 km). Transmission distance was positively associated with city size and total length of roads. Potential transmission areas identified as areas within transmission distance of the first 100 cases contained 63.84-99.61% of cases. Providing testing services to residents in these areas helped to control the outbreak. Our results suggest that transmission distances can help predict where emerging respiratory infectious diseases may spread next spatially and guide the implementation of targeted interventions.

Infectious Disease ModellingVol. 11(3)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Fudan University (CN), Kunming Medical University (CN), London School of Hygiene & Tropical Medicine (GB)
Zero hunger
Openalex Percentile: Top 49%
COVID-19 epidemiological studies
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