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Published in: Wireless Personal Communications 3/2022

18-08-2021

COVID-19 Propagation Model Based on Economic Development and Interventions

Authors: Fuzhong Nian, Yayong Shi, Jun Cao

Published in: Wireless Personal Communications | Issue 3/2022

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Abstract

In order to understand the influencing factors affecting the COVID-19 propagation, and analyze the development trend of the epidemic situation in the world, COVID-19 propagation model to simulate the COVID-19 propagation in the population is proposed in this paper. First of all, this paper analyzes the economic factors and interventions affecting the COVID-19 propagation in various different countries. Then, the touch number for COVID-19 High-risk Population Dynamic Network in this paper was redefined, and it predicts and analyzes the development trend of the epidemic situation in different countries. The simulation data and the published confirmed data by the world health organization could fit well, which also verified the reliability of the model. Finally, this paper also analyzes the impact of public awareness of prevention on the control of the epidemic. The analysis shows that increasing the awareness of prevention, timely and early adoption of protective measures such as wearing masks, and reducing travel can greatly reduce the risk of infection and the outbreak scale.

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Literature
1.
go back to reference Sohrabi, C., Alsafi, Z., O’Neill, N., Khan, M., & Agha, R. (2020). Corrigendum to world health organization declares global emergency: a review of the 2019 novel coronavirus (covid-19). International Journal of Surgery, 76, 71–76.CrossRef Sohrabi, C., Alsafi, Z., O’Neill, N., Khan, M., & Agha, R. (2020). Corrigendum to world health organization declares global emergency: a review of the 2019 novel coronavirus (covid-19). International Journal of Surgery, 76, 71–76.CrossRef
2.
go back to reference Streeck, H., Schulte, B., Kümmerer, B. M., et al. (2020). Infection fatality rate of SARS-CoV2 in a super-spreading event in Germany. Nature Communications, 11, 5829.CrossRef Streeck, H., Schulte, B., Kümmerer, B. M., et al. (2020). Infection fatality rate of SARS-CoV2 in a super-spreading event in Germany. Nature Communications, 11, 5829.CrossRef
4.
go back to reference James, Nick, Menzies, Max, & Radchenko, Peter. (2021). COVID-19 second wave mortality in Europe and the United States. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31, 031105.MathSciNetCrossRef James, Nick, Menzies, Max, & Radchenko, Peter. (2021). COVID-19 second wave mortality in Europe and the United States. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31, 031105.MathSciNetCrossRef
5.
go back to reference Rozhnova, G., van Dorp, C. H., Bruijning-Verhagen, P., et al. (2021). Model-based evaluation of school- and non-school-related measures to control the COVID-19 pandemic. Nature Communications, 12, 1614.CrossRef Rozhnova, G., van Dorp, C. H., Bruijning-Verhagen, P., et al. (2021). Model-based evaluation of school- and non-school-related measures to control the COVID-19 pandemic. Nature Communications, 12, 1614.CrossRef
6.
go back to reference Willem, L., Abrams, S., Libin, P. J. K., et al. (2021). The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19. Nature Communications, 12, 1524.CrossRef Willem, L., Abrams, S., Libin, P. J. K., et al. (2021). The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19. Nature Communications, 12, 1524.CrossRef
7.
go back to reference Manchein, C., Brugnago, E. L., da Silva, R. M., Mendes, C. F. O., & Beims, M. W. (2020). Strong correlations between power-law growth of COVID-19 in four continents and the inefficiency of soft quarantine strategies. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30, 041102.CrossRef Manchein, C., Brugnago, E. L., da Silva, R. M., Mendes, C. F. O., & Beims, M. W. (2020). Strong correlations between power-law growth of COVID-19 in four continents and the inefficiency of soft quarantine strategies. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30, 041102.CrossRef
8.
go back to reference Zhao, Shi, Lin, Qianyin, Ran, Jinjun, Salihu, S., et al. (2020). Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak. International Journal of Infectious Diseases, 92, 214–217.CrossRef Zhao, Shi, Lin, Qianyin, Ran, Jinjun, Salihu, S., et al. (2020). Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak. International Journal of Infectious Diseases, 92, 214–217.CrossRef
9.
go back to reference Neal, Peter, & Theparod, Thitiya. (2019). The basic reproduction number, R0, in structured populations. Mathematical Biosciences, 315, 108224.MathSciNetCrossRef Neal, Peter, & Theparod, Thitiya. (2019). The basic reproduction number, R0, in structured populations. Mathematical Biosciences, 315, 108224.MathSciNetCrossRef
10.
go back to reference Fernández, Daniel, Giné-Vázquez, Iago, Liu, Ivy, Yucel, Recai, et al. (2021). Are environmental pollution and biodiversity levels associated to the spread and mortality of COVID-19?. A four-month global analysis. Environmental Pollution, 271, 116326.CrossRef Fernández, Daniel, Giné-Vázquez, Iago, Liu, Ivy, Yucel, Recai, et al. (2021). Are environmental pollution and biodiversity levels associated to the spread and mortality of COVID-19?. A four-month global analysis. Environmental Pollution, 271, 116326.CrossRef
12.
go back to reference Woolcott, O. O., & Castilla-Bancayán, J. P. (2021). The effect of age on the association between diabetes and mortality in adult patients with COVID-19 in Mexico. Scientific Reports, 11, 8386.CrossRef Woolcott, O. O., & Castilla-Bancayán, J. P. (2021). The effect of age on the association between diabetes and mortality in adult patients with COVID-19 in Mexico. Scientific Reports, 11, 8386.CrossRef
13.
go back to reference Ingram, M., Zahabian, A., & Hur, C. (2021). Prediction of COVID-19 Social Distancing Adherence (SoDA) on the United States county-level. Humanities and Social Sciences Communications, 8, 87.CrossRef Ingram, M., Zahabian, A., & Hur, C. (2021). Prediction of COVID-19 Social Distancing Adherence (SoDA) on the United States county-level. Humanities and Social Sciences Communications, 8, 87.CrossRef
14.
go back to reference Zietz, M., Zucker, J., & Tatonetti, N. P. (2020). Associations between blood type and COVID-19 infection, intubation, and death. Nature Communications, 11, 5761.CrossRef Zietz, M., Zucker, J., & Tatonetti, N. P. (2020). Associations between blood type and COVID-19 infection, intubation, and death. Nature Communications, 11, 5761.CrossRef
16.
go back to reference Pinto Neto, O., Kennedy, D. M., Reis, J. C., et al. (2020). Mathematical model of COVID-19 intervention scenarios for São Paulo-Brazil. Nature Communications, 12, 418.CrossRef Pinto Neto, O., Kennedy, D. M., Reis, J. C., et al. (2020). Mathematical model of COVID-19 intervention scenarios for São Paulo-Brazil. Nature Communications, 12, 418.CrossRef
17.
go back to reference akahashi, T., Ellingson, M. K., Wong, P., et al. (2020). Sex differences in immune responses that underlie COVID-19 disease outcomes. Nature, 588, 315–320.CrossRef akahashi, T., Ellingson, M. K., Wong, P., et al. (2020). Sex differences in immune responses that underlie COVID-19 disease outcomes. Nature, 588, 315–320.CrossRef
18.
go back to reference Wells, C. R., Townsend, J. P., Pandey, A., et al. (2021). Optimal COVID-19 quarantine and testing strategies. Nature Communications, 12, 356.CrossRef Wells, C. R., Townsend, J. P., Pandey, A., et al. (2021). Optimal COVID-19 quarantine and testing strategies. Nature Communications, 12, 356.CrossRef
19.
go back to reference Behring, Brandon M.., & Rizzo, Alessandro. (2021). How adherence to public health measures shapes epidemic spreading: A temporal network model. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31, 043005.MathSciNetCrossRef Behring, Brandon M.., & Rizzo, Alessandro. (2021). How adherence to public health measures shapes epidemic spreading: A temporal network model. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31, 043005.MathSciNetCrossRef
20.
go back to reference Nande, A., Sheen, J., Walters, E. L., et al. (2021). The effect of eviction moratoria on the transmission of SARS-CoV-2. Nature Communications, 12, 2274.CrossRef Nande, A., Sheen, J., Walters, E. L., et al. (2021). The effect of eviction moratoria on the transmission of SARS-CoV-2. Nature Communications, 12, 2274.CrossRef
21.
go back to reference Haug, N., Geyrhofer, L., Londei, A., et al. (2020). Ranking the effectiveness of worldwide COVID-19 government interventions. Nature Human Behaviour, 4, 1303–1312.CrossRef Haug, N., Geyrhofer, L., Londei, A., et al. (2020). Ranking the effectiveness of worldwide COVID-19 government interventions. Nature Human Behaviour, 4, 1303–1312.CrossRef
22.
go back to reference Rendeiro, A. F., Ravichandran, H., Bram, Y., et al. (2021). The spatial landscape of lung pathology during COVID-19 progression. Nature., 6, 564–569.CrossRef Rendeiro, A. F., Ravichandran, H., Bram, Y., et al. (2021). The spatial landscape of lung pathology during COVID-19 progression. Nature., 6, 564–569.CrossRef
23.
go back to reference Vadrevu, K. P., Eaturu, A., Biswas, S., et al. (2020). Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period. Scientific Reports, 10, 16574.CrossRef Vadrevu, K. P., Eaturu, A., Biswas, S., et al. (2020). Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period. Scientific Reports, 10, 16574.CrossRef
24.
go back to reference Solimini, A., Filipponi, F., Fegatelli, D. A., et al. (2021). A global association between Covid-19 cases and airborne particulate matter at regional level. Scientific Reports, 11, 6256.CrossRef Solimini, A., Filipponi, F., Fegatelli, D. A., et al. (2021). A global association between Covid-19 cases and airborne particulate matter at regional level. Scientific Reports, 11, 6256.CrossRef
25.
go back to reference Middya, A. I., & Roy, S. (2021). Geographically varying relationships of COVID-19 mortality with different factors in India. Scientific Reports, 11, 7890.CrossRef Middya, A. I., & Roy, S. (2021). Geographically varying relationships of COVID-19 mortality with different factors in India. Scientific Reports, 11, 7890.CrossRef
26.
go back to reference Yayong, S. H. I., Fuzhong, N. I. A. N., Jinshuo, L. I. U., et al. (2020). Propagation dynamics of COVID-19 in high-risk population dynamic network. Control Theory & Applications, 37, 461–468.MATH Yayong, S. H. I., Fuzhong, N. I. A. N., Jinshuo, L. I. U., et al. (2020). Propagation dynamics of COVID-19 in high-risk population dynamic network. Control Theory & Applications, 37, 461–468.MATH
27.
go back to reference Jia, J. S., Lu, X., Yuan, Y., et al. (2020). Population flow drives spatio-temporal distribution of COVID-19 in China. Nature, 582, 389–394.CrossRef Jia, J. S., Lu, X., Yuan, Y., et al. (2020). Population flow drives spatio-temporal distribution of COVID-19 in China. Nature, 582, 389–394.CrossRef
28.
go back to reference Graham, R., Donaldson, E., & Baric, R. (2013). A decade after SARS: strategies for controlling emerging coronaviruses. Nature Reviews Microbiology, 11, 836–848.CrossRef Graham, R., Donaldson, E., & Baric, R. (2013). A decade after SARS: strategies for controlling emerging coronaviruses. Nature Reviews Microbiology, 11, 836–848.CrossRef
29.
go back to reference Diamond, B. (2003). SARS spreads new outlook on quarantine models. Nature Medicine, 9, 1441.CrossRef Diamond, B. (2003). SARS spreads new outlook on quarantine models. Nature Medicine, 9, 1441.CrossRef
30.
go back to reference Madelain, V., Baize, S., Jacquot, F., et al. (2018). Ebola viral dynamics in nonhuman primates provides insights into virus immuno-pathogenesis and antiviral strategies. Nature Communications, 9, 4013.CrossRef Madelain, V., Baize, S., Jacquot, F., et al. (2018). Ebola viral dynamics in nonhuman primates provides insights into virus immuno-pathogenesis and antiviral strategies. Nature Communications, 9, 4013.CrossRef
31.
go back to reference Dellicour, S., Baele, G., Dudas, G., et al. (2018). Phylodynamic assessment of intervention strategies for the West African Ebola virus outbreak. Nature Communications, 9, 2222.CrossRef Dellicour, S., Baele, G., Dudas, G., et al. (2018). Phylodynamic assessment of intervention strategies for the West African Ebola virus outbreak. Nature Communications, 9, 2222.CrossRef
32.
go back to reference Aris-Brosou, S., Ibeh, N., & Noël, J. (2017). Viral outbreaks involve destabilized evolutionary networks: Evidence from Ebola. Influenza and Zika Scientific Reports, 7, 11881.CrossRef Aris-Brosou, S., Ibeh, N., & Noël, J. (2017). Viral outbreaks involve destabilized evolutionary networks: Evidence from Ebola. Influenza and Zika Scientific Reports, 7, 11881.CrossRef
33.
go back to reference Xia, Z. Q., Wang, S. F., Li, S. L., et al. (2015). Modeling the transmission dynamics of Ebola virus disease in Liberia. Scientific Reports, 5, 13857.CrossRef Xia, Z. Q., Wang, S. F., Li, S. L., et al. (2015). Modeling the transmission dynamics of Ebola virus disease in Liberia. Scientific Reports, 5, 13857.CrossRef
38.
go back to reference National Bureau of Statistics of China. (2019). Gross Reginoal Product (2018) . in CHINA STATISTICAL YEARBOOK-2019, (9th ed., Vol. 3). Beijing, China: China Statistics Press. National Bureau of Statistics of China. (2019). Gross Reginoal Product (2018) . in CHINA STATISTICAL YEARBOOK-2019, (9th ed., Vol. 3). Beijing, China: China Statistics Press.
41.
go back to reference Munday, J. D., Sherratt, K., Meakin, S., et al. (2021). Implications of the school-household network structure on SARS-CoV-2 transmission under school reopening strategies in England. Nature Communications, 12, 1942.CrossRef Munday, J. D., Sherratt, K., Meakin, S., et al. (2021). Implications of the school-household network structure on SARS-CoV-2 transmission under school reopening strategies in England. Nature Communications, 12, 1942.CrossRef
42.
go back to reference Fulker, Z., Forber, P., Smead, R., et al. (2021). Spite is contagious in dynamic networks. Nature Communications, 12, 260.CrossRef Fulker, Z., Forber, P., Smead, R., et al. (2021). Spite is contagious in dynamic networks. Nature Communications, 12, 260.CrossRef
43.
go back to reference Aral, S., & Nicolaides, C. (2017). Exercise contagion in a global social network. Nature Communications, 8, 14753.CrossRef Aral, S., & Nicolaides, C. (2017). Exercise contagion in a global social network. Nature Communications, 8, 14753.CrossRef
44.
go back to reference Tian, L., Li, X., Qi, F., et al. (2021). Harnessing peak transmission around symptom onset for non-pharmaceutical intervention and containment of the COVID-19 pandemic. Nature Communications, 12, 1147.CrossRef Tian, L., Li, X., Qi, F., et al. (2021). Harnessing peak transmission around symptom onset for non-pharmaceutical intervention and containment of the COVID-19 pandemic. Nature Communications, 12, 1147.CrossRef
45.
go back to reference Ragonnet-Cronin, M., Boyd, O., Geidelberg, L., et al. (2021). Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions. Nature Communications, 12, 2188.CrossRef Ragonnet-Cronin, M., Boyd, O., Geidelberg, L., et al. (2021). Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions. Nature Communications, 12, 2188.CrossRef
Metadata
Title
COVID-19 Propagation Model Based on Economic Development and Interventions
Authors
Fuzhong Nian
Yayong Shi
Jun Cao
Publication date
18-08-2021
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 3/2022
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-08998-9

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