Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community-resident complex networks

doi:10.1088/1674-1056/ad39c7

中国物理B ›› 2024, Vol. 33 ›› Issue (7): 70206-070206.doi: 10.1088/1674-1056/ad39c7

Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community-resident complex networks

Peng Yang(杨鹏)¹, Ruguo Fan(范如国)¹, Yibo Wang(王奕博)^2,†, and Yingqing Zhang(张应青)³

1 School of Economics and Management, Wuhan University, Wuhan 430072, China;
2 Postdoctoral Research Station, China International Engineering Consulting Corporation, Beijing 100000, China;
3 School of Business Administration, Guizhou University of Finance and Economics, Guiyang 550025, China

收稿日期:2023-12-04 修回日期:2024-03-05 接受日期:2024-04-03 出版日期:2024-06-18 发布日期:2024-06-18
通讯作者: Yibo Wang E-mail:yibowong@qq.com
基金资助:
Project supported by the Ministry of Education of China in the later stage of philosophy and social science research (Grant No. 19JHG091), the National Natural Science Foundation of China (Grant No. 72061003), the Major Program of National Social Science Fund of China (Grant No. 20&ZD155), and the Guizhou Provincial Science and Technology Projects (Grant No. [2020]4Y172).

Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community-resident complex networks

Peng Yang(杨鹏)¹, Ruguo Fan(范如国)¹, Yibo Wang(王奕博)^2,†, and Yingqing Zhang(张应青)³

1 School of Economics and Management, Wuhan University, Wuhan 430072, China;
2 Postdoctoral Research Station, China International Engineering Consulting Corporation, Beijing 100000, China;
3 School of Business Administration, Guizhou University of Finance and Economics, Guiyang 550025, China

Received:2023-12-04 Revised:2024-03-05 Accepted:2024-04-03 Online:2024-06-18 Published:2024-06-18
Contact: Yibo Wang E-mail:yibowong@qq.com
Supported by:
Project supported by the Ministry of Education of China in the later stage of philosophy and social science research (Grant No. 19JHG091), the National Natural Science Foundation of China (Grant No. 72061003), the Major Program of National Social Science Fund of China (Grant No. 20&ZD155), and the Guizhou Provincial Science and Technology Projects (Grant No. [2020]4Y172).

摘要/Abstract

摘要： We construct a dual-layer coupled complex network of communities and residents to represent the interconnected risk transmission network between communities and the disease transmission network among residents. It characterizes the process of infectious disease transmission among residents between communities through the SE2IHR model considering two types of infectors. By depicting a more fine-grained social structure and combining further simulation experiments, the study validates the crucial role of various prevention and control measures implemented by communities as primary executors in controlling the epidemic. Research shows that the geographical boundaries of communities and the social interaction patterns of residents have a significant impact on the spread of the epidemic, where early detection, isolation and treatment strategies at community level are essential for controlling the spread of the epidemic. In addition, the study explores the collaborative governance model and institutional advantages of communities and residents in epidemic prevention and control.

关键词: propagation dynamics, complex networks, public health events, community structure

Abstract: We construct a dual-layer coupled complex network of communities and residents to represent the interconnected risk transmission network between communities and the disease transmission network among residents. It characterizes the process of infectious disease transmission among residents between communities through the SE2IHR model considering two types of infectors. By depicting a more fine-grained social structure and combining further simulation experiments, the study validates the crucial role of various prevention and control measures implemented by communities as primary executors in controlling the epidemic. Research shows that the geographical boundaries of communities and the social interaction patterns of residents have a significant impact on the spread of the epidemic, where early detection, isolation and treatment strategies at community level are essential for controlling the spread of the epidemic. In addition, the study explores the collaborative governance model and institutional advantages of communities and residents in epidemic prevention and control.

Key words: propagation dynamics, complex networks, public health events, community structure

中图分类号: (Computational techniques; simulations)

02.70.-c

02.60.-x (Numerical approximation and analysis)

Peng Yang(杨鹏), Ruguo Fan(范如国), Yibo Wang(王奕博), and Yingqing Zhang(张应青). Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community-resident complex networks[J]. 中国物理B, 2024, 33(7): 70206-070206.

参考文献

[1] COVID-19 to Plunge Global Economy into Worst Recession since World War II
[2] Wu Y, Zhang Q, Li L, Li M and Zuo Y 2021 Risk Management and Healthcare Policy 2021 4907
[3] MacQueen K M, McLellan E, Metzger D S, Kegeles S, Strauss R P, Scotti R, Blanchard L and Trotter R T 2001 American journal of public health 91 1929
[4] Aldila D, Ndii M Z and Samiadji B M 2020 Math. Biosci. Eng 17 6355
[5] Gilmore B, Ndejjo R, Tchetchia A, de Claro V, Mago E, Lopes C and Bhattacharyya S 2020 BMJ global health 5 e003188
[6] Güner H R, Hasanoǧlu İ and Aktaş F 2020 Turkish Journal of medical sciences 50 571
[7] Fang Y, Nie Y and Penny M 2020 Journal of medical virology 92 645
[8] Wilder-Smith A, Chiew C J and Lee V J 2020 The lancet infectious diseases 20 e102
[9] Li M Y and Muldowney J S 1995 Mathematical biosciences 125 155
[10] Annas S, Pratama M I, Rifandi M, Sanusi W and Side S 2020 Chaos, Solitons & Fractals 139 110072
[11] He S, Peng Y and Sun K 2020 Nonlinear Dynam. 101 1667
[12] Ferrante M, Ferraris E and Rovira C 2016 Test 25 482
[13] Choi J Y 2020 Postgraduate medical journal 96 399
[14] DarAssi M H, Shatnawi T A and Safi M A 2022 Demonstratio Mathematica 55 265
[15] Koopman J 2004 Annu. Rev. Public Health 25 303
[16] Li S L, Bjørnstad O N, Ferrari M J, Mummah R, Runge M C, Fonnesbeck C J, Tildesley M J, Probert W J and Shea K 2017 Proc. Natl. Acad. Sci. USA 114 5659
[17] Niu R, Wong E W, Chan Y C, Van Wyk M A and Chen G 2020 IEEE Access 8 195503
[18] Bansal S, Grenfell B T and Meyers L A 2007 J. R. Soc. Interface 4 879
[19] Keeling M J and Eames K T 2005 J. R. Soc. Interface 2 295
[20] Watts D J and Strogatz S H 1998 Nature 393 440
[21] Hsu C I and Shih H H 2010 Accident Analysis & Prevention 42 93
[22] Li J, Zhong J, Ji Y M and Yang F 2021 Results in Physics 25 104283
[23] Thurner S, Klimek P and Hanel R 2020 Proc. Natl. Acad. Sci. USA 117 22684
[24] Funk S, Gilad E, Watkins C, Jansen V A 2009 Proc. Natl. Acad. Sci. USA 106 6872
[25] Funk S, Salathé M and Jansen V A 2010 J. R. Soc. Interface 7 1247
[26] He L and Zhu L 2021 Commun. Theor. Phys. 73 035002
[27] Zhao X, Zhou Q, Wang A, Zhu F, Meng Z and Zuo C 2021 Journal of Medical Virology 93 4342
[28] Li D, Xie W, Han D and Sun M 2023 Information Sciences 651 119723
[29] Ma W, Zhang P, Zhao X and Xue L 2022 Physica A 588 126558
[30] Scabini L F, Ribas L C, Neiva M B, Junior A G, Farfan A J and Bruno O M 2021 Physica A 564 125498
[31] Chung N N and Chew L Y 2021 Scientific Reports 11 10122
[32] Turker M and Bingol H O 2023 Euro. Phys. J. B 96 16
[33] Stegehuis C, Van Der Hofstad R and Van Leeuwaarden J S 2016 Scientific Reports 6 29748
[34] Piselli F 2007 American Behavioral Scientist 50 867
[35] Organization W H 2009 Global health risks: mortality and burden of disease attributable to selected major risks (World Health Organization)
[36] Murgante B, Balletto G, Borruso G, Las Casas G, Castiglia P and Dettori M 2020 TeMA-Journal of Land Use, Mobility and Environment 283
[37] Diaz P, Constantine P, Kalmbach K, Jones E and Pankavich S 2018 Applied mathematics and computation 324 141
[38] Dietz K 1993 Statistical methods in medical research 2 23
[39] Diekmann O, Heesterbeek J and Roberts M G 2010 J. R. Soc. Interface 7 873
[40] Guerra F M, Bolotin S, Lim G, Heffernan J, Deeks S L, Li Y and Crowcroft N S 2017 The Lancet Infectious Diseases 17 e420
[41] Mwalili S, Kimathi M, Ojiambo V, Gathungu D and Mbogo R 2020 BMC Research Notes 13 1
[42] Korobeinikov A 2004 Mathematical medicine and biology: a journal of the IMA 21 75
[43] Kleinberg J M 2000 Nature 406 845
[44] Ye C, Yu X and Li W 2013 Information 4 398
[45] Latora V and Marchiori M 2002 Physica A 314 109
[46] Xu Z and Sui D Z 2007 Journal of Geographical Systems 9 189
[47] Sallaberry A, Zaidi F and Melançon G 2013 Social Network Analysis and Mining 3 597
[48] Andersson C, Frenken K and Hellervik A 2006 Environment and Planning A 38 1941
[49] National Health Commission of People’s Republic of China http://www.nhc.gov.cn/xcs/yqtb/listgzbd.shtml
[50] Lu J H, He J F, Zhang S X, Xie X, Wu Y S, Xu S L, Li M M and Feng T J 2021 Practical Preventive Medicine 28 418
[51] Dhouib W, Maatoug J, Ayouni I, Zammit N, Ghammem R, Fredj S B and Ghannem H 2021 Systematic Reviews 10 1
[52] Han Y, Jiang M, Xia D, He L, Lv X, Liao X and Meng J 2020 Clinical Immunology 214 108413
[53] Wang Y, Wang Q, Wang K, Song C, Guo Z and Hu W 2021 Infection Control & Hospital Epidemiology 42 242
[54] Hellewell J, Russell T W, Beale R, Kelly G, Houlihan C, Nastouli E and Kucharski A J 2021 BMC medicine 19 1

Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community-resident complex networks

Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community-resident complex networks

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