The impact of urbanization and human mobility on seasonal influenza in Northern China
The impact of urbanization and human mobility on seasonal influenza in Northern China
The intensity of influenza epidemics varies significantly from year to year among regions with similar climatic conditions and populations. However, the underlying mechanisms of the temporal and spatial variations remain unclear. We investigated the impact of urbanization and public transportation size on influenza activity. We used 6-year weekly provincial-level surveillance data of influenza-like disease incidence (ILI) and viral activity in northern China. We derived the transmission potential of influenza for each epidemic season using the susceptible-exposed-infectious-removed-susceptible (SEIRS) model and estimated the transmissibility in the peak period via the instantaneous reproduction number (Rt). Public transport was found to explain approximately 28% of the variance in the seasonal transmission potential. Urbanization and public transportation size explained approximately 10% and 21% of the variance in maximum Rt in the peak period, respectively. For the mean Rt during the peak period, urbanization and public transportation accounted for 9% and 16% of the variance in Rt, respectively. Our results indicated that the differences in the intensity of influenza epidemics among the northern provinces of China were partially driven by urbanization and public transport size. These findings are beneficial for predicting influenza intensity and developing preparedness strategies for the early stages of epidemics.
Humans, Influenza, Human/epidemiology, Seasons, Urbanization, Epidemics, China/epidemiology
Yang, Jiao
135abdc1-6a68-4493-9c81-ce7694575531
Guo, Xudong
eb07ad0e-bc8f-45d6-af3c-3772a2a0a53e
Zhang, Ting
79f962fe-ea87-4276-9ed0-7120e9353077
Wang, Qing
f8500bf1-cf97-46b2-acba-b6838cde50ca
Zhang, Xingxing
776de43a-c3b2-4e40-ad5b-610211017943
Yang, Jin
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Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Feng, Luzhao
5842cd78-bfa7-40d1-ae76-92ca4bf70c4d
Yang, Weizhong
65d18fbc-d752-42a7-ac38-01534ceda15c
19 November 2022
Yang, Jiao
135abdc1-6a68-4493-9c81-ce7694575531
Guo, Xudong
eb07ad0e-bc8f-45d6-af3c-3772a2a0a53e
Zhang, Ting
79f962fe-ea87-4276-9ed0-7120e9353077
Wang, Qing
f8500bf1-cf97-46b2-acba-b6838cde50ca
Zhang, Xingxing
776de43a-c3b2-4e40-ad5b-610211017943
Yang, Jin
1b0cbcf3-e97c-446b-8a96-59c726d1d681
Lai, Shengjie
b57a5fe8-cfb6-4fa7-b414-a98bb891b001
Feng, Luzhao
5842cd78-bfa7-40d1-ae76-92ca4bf70c4d
Yang, Weizhong
65d18fbc-d752-42a7-ac38-01534ceda15c
Yang, Jiao, Guo, Xudong, Zhang, Ting, Wang, Qing, Zhang, Xingxing, Yang, Jin, Lai, Shengjie, Feng, Luzhao and Yang, Weizhong
(2022)
The impact of urbanization and human mobility on seasonal influenza in Northern China.
Viruses, 14 (11), [2563].
(doi:10.3390/v14112563).
Abstract
The intensity of influenza epidemics varies significantly from year to year among regions with similar climatic conditions and populations. However, the underlying mechanisms of the temporal and spatial variations remain unclear. We investigated the impact of urbanization and public transportation size on influenza activity. We used 6-year weekly provincial-level surveillance data of influenza-like disease incidence (ILI) and viral activity in northern China. We derived the transmission potential of influenza for each epidemic season using the susceptible-exposed-infectious-removed-susceptible (SEIRS) model and estimated the transmissibility in the peak period via the instantaneous reproduction number (Rt). Public transport was found to explain approximately 28% of the variance in the seasonal transmission potential. Urbanization and public transportation size explained approximately 10% and 21% of the variance in maximum Rt in the peak period, respectively. For the mean Rt during the peak period, urbanization and public transportation accounted for 9% and 16% of the variance in Rt, respectively. Our results indicated that the differences in the intensity of influenza epidemics among the northern provinces of China were partially driven by urbanization and public transport size. These findings are beneficial for predicting influenza intensity and developing preparedness strategies for the early stages of epidemics.
Text
viruses-14-02563-v2
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Submitted date: 19 October 2022
Accepted/In Press date: 17 November 2022
Published date: 19 November 2022
Keywords:
Humans, Influenza, Human/epidemiology, Seasons, Urbanization, Epidemics, China/epidemiology
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Local EPrints ID: 475677
URI: http://eprints.soton.ac.uk/id/eprint/475677
PURE UUID: e6cca93f-0c93-462b-a037-6d1cc8071ba5
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Date deposited: 24 Mar 2023 17:33
Last modified: 17 Mar 2024 03:52
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Contributors
Author:
Jiao Yang
Author:
Xudong Guo
Author:
Ting Zhang
Author:
Qing Wang
Author:
Xingxing Zhang
Author:
Jin Yang
Author:
Luzhao Feng
Author:
Weizhong Yang
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