The strategy to control the outbreak of an emerging respiratory infectious disease in a simulated Chinese megacity

Abstracts: Objectives: The emergence of respiratory infectious diseases (ERID) poses a significant threat to global public health. However, effectively managing ERID outbreaks in large cities remains a challenge. Methods: An age-structured Susceptible-Exposed-Infectious-Removed (SEIR) model was dev...

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Main Authors: Zhiqun Lei, Ziwei Shi, Jiao Huang, Xiaolong Yan, Jiayao Luo, Meng Xu, Qiuyue Wang, Rui Wang, Qi Wang, Qu Cheng, Sheng Wei
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024174142
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author Zhiqun Lei
Ziwei Shi
Jiao Huang
Xiaolong Yan
Jiayao Luo
Meng Xu
Qiuyue Wang
Rui Wang
Qi Wang
Qu Cheng
Sheng Wei
author_facet Zhiqun Lei
Ziwei Shi
Jiao Huang
Xiaolong Yan
Jiayao Luo
Meng Xu
Qiuyue Wang
Rui Wang
Qi Wang
Qu Cheng
Sheng Wei
author_sort Zhiqun Lei
collection DOAJ
description Abstracts: Objectives: The emergence of respiratory infectious diseases (ERID) poses a significant threat to global public health. However, effectively managing ERID outbreaks in large cities remains a challenge. Methods: An age-structured Susceptible-Exposed-Infectious-Removed (SEIR) model was developed to predict the effectiveness of non-pharmaceutical interventions (NPIs) in controlling ERID outbreaks. Four ERID outbreak scenarios were created based on varying levels of infectivity and pathogenicity. Based on the World Health Organization's (WHO) categorization for responding to the influenza pandemic, the combinations of NPIs were classified into five levels: base, any, moderate, high, and extraordinary levels (from mild to severe). The simulated progression of ERID outbreaks in a megacity were compared across different levels of NPI. Results: Our findings indicate that the response strategies should be formulated based on the epidemiological characteristics of ERID. In the low transmission scenarios, the mandatory NPIs were unnecessary to control ERID outbreaks regardless of their pathogenicity. However, even with low pathogenicity, severe NPIs are required to control the spread of ERID and minimize harm to the public in high transmission scenarios. Conclusion: The NPIs for the EIRD outbreak in a city should be tailored to the epidemiological characteristics to control its impact and protect public health.
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spelling doaj-art-4add770d25f6434faa426de54ce19da52025-01-17T04:51:06ZengElsevierHeliyon2405-84402025-01-01111e41383The strategy to control the outbreak of an emerging respiratory infectious disease in a simulated Chinese megacityZhiqun Lei0Ziwei Shi1Jiao Huang2Xiaolong Yan3Jiayao Luo4Meng Xu5Qiuyue Wang6Rui Wang7Qi Wang8Qu Cheng9Sheng Wei10Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Corresponding author.Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; School of Public Health and Emergency Management, Southern University of Science and Technology, Guangdong, China; Corresponding author. Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.Abstracts: Objectives: The emergence of respiratory infectious diseases (ERID) poses a significant threat to global public health. However, effectively managing ERID outbreaks in large cities remains a challenge. Methods: An age-structured Susceptible-Exposed-Infectious-Removed (SEIR) model was developed to predict the effectiveness of non-pharmaceutical interventions (NPIs) in controlling ERID outbreaks. Four ERID outbreak scenarios were created based on varying levels of infectivity and pathogenicity. Based on the World Health Organization's (WHO) categorization for responding to the influenza pandemic, the combinations of NPIs were classified into five levels: base, any, moderate, high, and extraordinary levels (from mild to severe). The simulated progression of ERID outbreaks in a megacity were compared across different levels of NPI. Results: Our findings indicate that the response strategies should be formulated based on the epidemiological characteristics of ERID. In the low transmission scenarios, the mandatory NPIs were unnecessary to control ERID outbreaks regardless of their pathogenicity. However, even with low pathogenicity, severe NPIs are required to control the spread of ERID and minimize harm to the public in high transmission scenarios. Conclusion: The NPIs for the EIRD outbreak in a city should be tailored to the epidemiological characteristics to control its impact and protect public health.http://www.sciencedirect.com/science/article/pii/S2405844024174142Non-pharmaceutical interventionsERID pandemicEpidemiology characteristicPublic healthHealthcare system
spellingShingle Zhiqun Lei
Ziwei Shi
Jiao Huang
Xiaolong Yan
Jiayao Luo
Meng Xu
Qiuyue Wang
Rui Wang
Qi Wang
Qu Cheng
Sheng Wei
The strategy to control the outbreak of an emerging respiratory infectious disease in a simulated Chinese megacity
Heliyon
Non-pharmaceutical interventions
ERID pandemic
Epidemiology characteristic
Public health
Healthcare system
title The strategy to control the outbreak of an emerging respiratory infectious disease in a simulated Chinese megacity
title_full The strategy to control the outbreak of an emerging respiratory infectious disease in a simulated Chinese megacity
title_fullStr The strategy to control the outbreak of an emerging respiratory infectious disease in a simulated Chinese megacity
title_full_unstemmed The strategy to control the outbreak of an emerging respiratory infectious disease in a simulated Chinese megacity
title_short The strategy to control the outbreak of an emerging respiratory infectious disease in a simulated Chinese megacity
title_sort strategy to control the outbreak of an emerging respiratory infectious disease in a simulated chinese megacity
topic Non-pharmaceutical interventions
ERID pandemic
Epidemiology characteristic
Public health
Healthcare system
url http://www.sciencedirect.com/science/article/pii/S2405844024174142
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