Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model

Tianyi Luo; Zhidong Cao; Pengfei Zhao; Dajun Daniel Zeng; Qingpeng Zhang

doi:10.1109/ISI53945.2021.9624841

Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model

Tianyi Luo
, Zhidong Cao^*
, Pengfei Zhao
, Dajun Daniel Zeng
, Qingpeng Zhang

^*Corresponding author for this work

Department of Data Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

The 2019 Novel Coronavirus Disease (COVID-19) vaccines have been placed significant expectation to end the COVID-19 pandemic sooner. However, issues related to vaccines still need to be resolved urgently, including the vaccination number and range. In this paper, we proposed an epidemic spread model based on the hierarchical weighted network. This model fully considers the heterogeneity of the community social contact network and the epidemiological characteristics of COVID-19 in China, which enables to evaluate the potential impact of vaccine efficacy, vaccination schemes, and mixed interventions on the epidemic. The results show that a mass vaccination can effectively control the epidemic but cannot completely eliminate it. In the case of limited resources, giving vaccination priority to the individuals with high contact intensity in the community is necessary. Joint implementation with non-pharmacological interventions strengthening the control of virus transmission. The results provide insights for decision-makers with effective vaccination plans and prevention and control programs.

Original language	English
Title of host publication	Proceedings - 2021 IEEE International Conference on Intelligence and Security Informatics (ISI)
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781665438384
ISBN (Print)	9781665438391
DOIs	https://doi.org/10.1109/ISI53945.2021.9624841
Publication status	Published - Nov 2021
Event	19th Annual IEEE International Conference on Intelligence and Security Informatics (ISI 2021) - Virtual, United States Duration: 2 Nov 2021 → 3 Nov 2021 https://ieeexplore.ieee.org/xpl/conhome/9624673/proceeding

Publication series

Name	Proceedings - IEEE International Conference on Intelligence and Security Informatics, ISI

Conference

Conference	19th Annual IEEE International Conference on Intelligence and Security Informatics (ISI 2021)
Abbreviated title	ISI 2021
Place	United States
Period	2/11/21 → 3/11/21
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9624673/proceeding

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Research Keywords

COVID-19
hierarchical weighted network
strategy evaluation
transmission model
vaccination

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10.1109/ISI53945.2021.9624841

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Luo, T., Cao, Z., Zhao, P., Zeng, D. D., & Zhang, Q. (2021). Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model. In Proceedings - 2021 IEEE International Conference on Intelligence and Security Informatics (ISI) (Proceedings - IEEE International Conference on Intelligence and Security Informatics, ISI). IEEE. https://doi.org/10.1109/ISI53945.2021.9624841

@inproceedings{40aa1f6a53674d849b30719d5972c7ec,

title = "Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model",

abstract = "The 2019 Novel Coronavirus Disease (COVID-19) vaccines have been placed significant expectation to end the COVID-19 pandemic sooner. However, issues related to vaccines still need to be resolved urgently, including the vaccination number and range. In this paper, we proposed an epidemic spread model based on the hierarchical weighted network. This model fully considers the heterogeneity of the community social contact network and the epidemiological characteristics of COVID-19 in China, which enables to evaluate the potential impact of vaccine efficacy, vaccination schemes, and mixed interventions on the epidemic. The results show that a mass vaccination can effectively control the epidemic but cannot completely eliminate it. In the case of limited resources, giving vaccination priority to the individuals with high contact intensity in the community is necessary. Joint implementation with non-pharmacological interventions strengthening the control of virus transmission. The results provide insights for decision-makers with effective vaccination plans and prevention and control programs.",

keywords = "COVID-19, hierarchical weighted network, strategy evaluation, transmission model, vaccination",

author = "Tianyi Luo and Zhidong Cao and Pengfei Zhao and Zeng, \{Dajun Daniel\} and Qingpeng Zhang",

year = "2021",

month = nov,

doi = "10.1109/ISI53945.2021.9624841",

language = "English",

isbn = "9781665438391",

series = "Proceedings - IEEE International Conference on Intelligence and Security Informatics, ISI",

publisher = "IEEE",

booktitle = "Proceedings - 2021 IEEE International Conference on Intelligence and Security Informatics (ISI)",

address = "United States",

note = "19th Annual IEEE International Conference on Intelligence and Security Informatics (ISI 2021), ISI 2021 ; Conference date: 02-11-2021 Through 03-11-2021",

url = "https://ieeexplore.ieee.org/xpl/conhome/9624673/proceeding",

}

Luo, T, Cao, Z, Zhao, P, Zeng, DD & Zhang, Q 2021, Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model. in Proceedings - 2021 IEEE International Conference on Intelligence and Security Informatics (ISI). Proceedings - IEEE International Conference on Intelligence and Security Informatics, ISI, IEEE, 19th Annual IEEE International Conference on Intelligence and Security Informatics (ISI 2021), United States, 2/11/21. https://doi.org/10.1109/ISI53945.2021.9624841

Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model. / Luo, Tianyi; Cao, Zhidong; Zhao, Pengfei et al.
Proceedings - 2021 IEEE International Conference on Intelligence and Security Informatics (ISI). IEEE, 2021. (Proceedings - IEEE International Conference on Intelligence and Security Informatics, ISI).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model

AU - Luo, Tianyi

AU - Cao, Zhidong

AU - Zhao, Pengfei

AU - Zeng, Dajun Daniel

AU - Zhang, Qingpeng

PY - 2021/11

Y1 - 2021/11

N2 - The 2019 Novel Coronavirus Disease (COVID-19) vaccines have been placed significant expectation to end the COVID-19 pandemic sooner. However, issues related to vaccines still need to be resolved urgently, including the vaccination number and range. In this paper, we proposed an epidemic spread model based on the hierarchical weighted network. This model fully considers the heterogeneity of the community social contact network and the epidemiological characteristics of COVID-19 in China, which enables to evaluate the potential impact of vaccine efficacy, vaccination schemes, and mixed interventions on the epidemic. The results show that a mass vaccination can effectively control the epidemic but cannot completely eliminate it. In the case of limited resources, giving vaccination priority to the individuals with high contact intensity in the community is necessary. Joint implementation with non-pharmacological interventions strengthening the control of virus transmission. The results provide insights for decision-makers with effective vaccination plans and prevention and control programs.

AB - The 2019 Novel Coronavirus Disease (COVID-19) vaccines have been placed significant expectation to end the COVID-19 pandemic sooner. However, issues related to vaccines still need to be resolved urgently, including the vaccination number and range. In this paper, we proposed an epidemic spread model based on the hierarchical weighted network. This model fully considers the heterogeneity of the community social contact network and the epidemiological characteristics of COVID-19 in China, which enables to evaluate the potential impact of vaccine efficacy, vaccination schemes, and mixed interventions on the epidemic. The results show that a mass vaccination can effectively control the epidemic but cannot completely eliminate it. In the case of limited resources, giving vaccination priority to the individuals with high contact intensity in the community is necessary. Joint implementation with non-pharmacological interventions strengthening the control of virus transmission. The results provide insights for decision-makers with effective vaccination plans and prevention and control programs.

KW - COVID-19

KW - hierarchical weighted network

KW - strategy evaluation

KW - transmission model

KW - vaccination

UR - https://www.scopus.com/pages/publications/85123499306

UR - https://www.scopus.com/pages/publications/85123499306#tab=impact

U2 - 10.1109/ISI53945.2021.9624841

DO - 10.1109/ISI53945.2021.9624841

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781665438391

T3 - Proceedings - IEEE International Conference on Intelligence and Security Informatics, ISI

BT - Proceedings - 2021 IEEE International Conference on Intelligence and Security Informatics (ISI)

PB - IEEE

T2 - 19th Annual IEEE International Conference on Intelligence and Security Informatics (ISI 2021)

Y2 - 2 November 2021 through 3 November 2021

ER -

Luo T, Cao Z, Zhao P, Zeng DD, Zhang Q. Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model. In Proceedings - 2021 IEEE International Conference on Intelligence and Security Informatics (ISI). IEEE. 2021. (Proceedings - IEEE International Conference on Intelligence and Security Informatics, ISI). doi: 10.1109/ISI53945.2021.9624841

Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model

Abstract

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UN SDGs

Research Keywords

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