tetano
Editor, Senior Moderator
Int J Infect Dis
. 2020 May 17.
doi: 10.1016/j.ijid.2020.05.048. Online ahead of print.
First, Second and Potential Third Generation Spreads of the COVID-19 Epidemic in Mainland China: An Early Exploratory Study Incorporating Location-Based Service Data of Mobile Devices
Bisong Hu[SUP] 1 2 [/SUP], Jingyu Qiu[SUP] 3 [/SUP], Haiying Chen[SUP] 4 [/SUP], Vincent Tao[SUP] 3 [/SUP], Jinfeng Wang[SUP] 2 [/SUP], Hui Lin[SUP] 1 [/SUP]
Affiliations
Abstract
Objectives: The outbreak of atypical pneumonia caused by the novel coronavirus (COVID-19) has currently become a global concern. The generations of the epidemic spread are not well known, yet these are critical parameters to facilitate an understanding of the epidemic. A seafood wholesale market and Wuhan city, China, were recognized as the primary and secondary epidemic sources. Human movements nationwide from the two epidemic sources revealed the characteristics of the first-generation and second-generation spreads of the COVID-19 epidemic, as well as the potential third-generation spread.
Methods: We used spatiotemporal data of COVID-19 cases in mainland China and two categories of location-based service (LBS) data of mobile devices from the primary and secondary epidemic sources to calculate Pearson correlation coefficient,r, and spatial stratified heterogeneity, q, statistics.
Results: Two categories of device trajectories had generally significant correlations and determinant powers of the epidemic spread. Bothr and q statistics decreased with distance from the epidemic sources and their associations changed with time. At the beginning of the epidemic, the mixed first-generation and second-generation spreads appeared in most cities with confirmed cases. They strongly interacted to enhance the epidemic in Hubei province and the trend was also significant in the provinces adjacent to Hubei. The third-generation spread started in Wuhan from January 17 to 20, 2020, and in Hubei from January 23 to 24. No obvious third-generation spread was detected outside Hubei.
Conclusions: The findings provide important foundations to quantify the effect of human movement on epidemic spread and inform ongoing control strategies. The spatiotemporal association between the epidemic spread and human movements from the primary and secondary epidemic sources indicates a transfer from second to third generations of the infection. Urgent control measures include preventing the potential third-generation spread in mainland China, eliminating it in Hubei, and reducing the interaction influence of first-generation and second-generation spreads.
Keywords: COVID-19; generations; mainland China; mobile device data; q statistic.
. 2020 May 17.
doi: 10.1016/j.ijid.2020.05.048. Online ahead of print.
First, Second and Potential Third Generation Spreads of the COVID-19 Epidemic in Mainland China: An Early Exploratory Study Incorporating Location-Based Service Data of Mobile Devices
Bisong Hu[SUP] 1 2 [/SUP], Jingyu Qiu[SUP] 3 [/SUP], Haiying Chen[SUP] 4 [/SUP], Vincent Tao[SUP] 3 [/SUP], Jinfeng Wang[SUP] 2 [/SUP], Hui Lin[SUP] 1 [/SUP]
Affiliations
- PMID: 32425632
- PMCID: PMC7231483
- DOI: 10.1016/j.ijid.2020.05.048
Abstract
Objectives: The outbreak of atypical pneumonia caused by the novel coronavirus (COVID-19) has currently become a global concern. The generations of the epidemic spread are not well known, yet these are critical parameters to facilitate an understanding of the epidemic. A seafood wholesale market and Wuhan city, China, were recognized as the primary and secondary epidemic sources. Human movements nationwide from the two epidemic sources revealed the characteristics of the first-generation and second-generation spreads of the COVID-19 epidemic, as well as the potential third-generation spread.
Methods: We used spatiotemporal data of COVID-19 cases in mainland China and two categories of location-based service (LBS) data of mobile devices from the primary and secondary epidemic sources to calculate Pearson correlation coefficient,r, and spatial stratified heterogeneity, q, statistics.
Results: Two categories of device trajectories had generally significant correlations and determinant powers of the epidemic spread. Bothr and q statistics decreased with distance from the epidemic sources and their associations changed with time. At the beginning of the epidemic, the mixed first-generation and second-generation spreads appeared in most cities with confirmed cases. They strongly interacted to enhance the epidemic in Hubei province and the trend was also significant in the provinces adjacent to Hubei. The third-generation spread started in Wuhan from January 17 to 20, 2020, and in Hubei from January 23 to 24. No obvious third-generation spread was detected outside Hubei.
Conclusions: The findings provide important foundations to quantify the effect of human movement on epidemic spread and inform ongoing control strategies. The spatiotemporal association between the epidemic spread and human movements from the primary and secondary epidemic sources indicates a transfer from second to third generations of the infection. Urgent control measures include preventing the potential third-generation spread in mainland China, eliminating it in Hubei, and reducing the interaction influence of first-generation and second-generation spreads.
Keywords: COVID-19; generations; mainland China; mobile device data; q statistic.