Volume 20 Issue 3
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2020  >  20(3): 100-109
ZHONG Peng-yun, YIN Hui. System dynamics simulation on spread of COVID-19 by traffic and transportation[J]. Journal of Traffic and Transportation Engineering, 2020, 20(3): 100-109. doi: 10.19818/j.cnki.1671-1637.2020.03.009
Citation: ZHONG Peng-yun, YIN Hui. System dynamics simulation on spread of COVID-19 by traffic and transportation[J]. Journal of Traffic and Transportation Engineering, 2020, 20(3): 100-109. doi: 10.19818/j.cnki.1671-1637.2020.03.009
shu

System dynamics simulation on spread of COVID-19 by traffic and transportation

doi: 10.19818/j.cnki.1671-1637.2020.03.009
  • 1.

    Safety Research Center of Traffic and Transportation, Yunnan Science Research Institute of Communication Co., Ltd., Kunming 650011, Yunnan, China

  • 2.

    Kunming Engineering Corporation Limited, Power China, Kunming 650051, Yunnan, China

Funds:

National Natural Science Foundation of China 41501174

More Information
  • Author Bio:

    CHONG Peng-yun(1988-), male, senior engineer, PhD, chongzi512@foxmail.com

  • Received Date: 2020-04-08
  • Publish Date: 2020-06-25
    Abstract
  • To research the influence of traffic and transportation on the spread of corona virus disease 2019(COVID-19), the model of COVID-19 spreaded by traffic and transportation was established based on the system dynamics. Based on the hypothesis of model, the population was divided into the susceptible individual, explored individual, infected individual and removed individual. According to the spreading characteristics of COVID-19, the modified susceptible-explored-infected-removed(SEIR) and susceptible-explored-infected(SEI) spreading dynamics equations of COVID-19 of epidemic area, port, station, car, ship and related area were established under the influence of traffic and transportation. Based on the analysis of spread process of COVID-19 by traffic and transportation, a causal loop of the system dynamics model of traffic and transportation spreading the COVID-19 was drawn, and a causality feedback loop was analyzed. The model of COVID-19 spreaded by traffic and transportation was established based on the system dynamics, and the dimensional consistency, mechanical error, model validity, and extreme condition of the model were tested. Taking the City A as the research example, the influence of traffic and transportation on the spread of COVID-19 was researched by establishing three simulation scenarios. Simulation result shows that the number of individuals infected with the COVID-19 in City A reaches a peak on the 32 nd day after the outbreak, and 77 726 people were infected, and that of the area outside the City A reaches the peak on the 30 th day after the outbreak, and 28 084 people were infected. The traffic and transportation have positive feedback effects on the spread of COVID-19. The peak volumes of infected and removed individuals of COVID-19 under the influence of traffic and transportation are 18.62 and 10.99 times of those without the participation of traffic and transportation, respectively. Therefore, the traffic control measures have a positive effect on controlling the development and preventing the spread of COVID-19. The increase of public transport proportion will accelerate the spread of COVID-19. Therefore, reducing people's travel demands and the proportion of public transport, and increasing the virus elimination work of public transportation car, ship, port and station can effectively slow down the spread of COVID-19.

     

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  • [1]
    佘佳桐, 刘文君. 儿童新型冠状病毒肺炎的流行病学特征与防控措施[J]. 热带医学杂志, 2020, 20(2): 153-155, 172. doi: 10.3969/j.issn.1672-3619.2020.02.003

    SHE Jia-tong, LIU Wen-jun. Epidemiological characteristics, prevention and control measures of children's coronavirus disease[J]. Journal of Tropical Medicine, 2020, 20(2): 153-155, 172. (in Chinese). doi: 10.3969/j.issn.1672-3619.2020.02.003
    [2]
    HUANG Chao-lin, WANG Ye-ming, LI Xing-wang, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China[J]. The Lancet, 2020, 395(10223): 497-506. doi: 10.1016/S0140-6736(20)30183-5
    [3]
    赵丹, 余静静, 刘平先, 等. 新型冠状病毒传播期间191例武汉口腔急诊患者临床特点[J]. 口腔医学研究, 2020, 36(2): 98-103. https://www.cnki.com.cn/Article/CJFDTOTAL-KQYZ202002002.htm

    ZHAO Dan, YU Jing-jing, LIU Ping-xian, et al. Characteristics of dental emergencies during COVID-19 outbreak in Wuhan[J]. Journal of Oral Science Research, 2020, 36(2): 98-103. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KQYZ202002002.htm
    [4]
    OLSEN S J, CHANG H L, CHEUNG T Y, et al. Transmission of the severe acute respiratory syndrome on aircraft[J]. New England Journal of Medicine, 2003, 349(25): 2416-2422. doi: 10.1056/NEJMoa031349
    [5]
    杨华, 李小文, 施宏, 等. SARS沿交通线的"飞点"传播模型[J]. 遥感学报, 2003, 7(4): 251-255. https://www.cnki.com.cn/Article/CJFDTOTAL-YGXB200304002.htm

    YANG Hua, LI Xiao-wen, SHI Hong, et al. "Fly dots" spreading model of SARS along transportation[J]. Journal of Remote Sensing, 2003, 7(4): 251-255. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-YGXB200304002.htm
    [6]
    张殿业, 郭寒英. 交通运输通道防控非典型肺炎(SARS)疫情的作用研究[J]. 交通运输工程与信息学报, 2003, 1(1): 31-36. https://www.cnki.com.cn/Article/CJFDTOTAL-JTGC200301004.htm

    ZHANG Dian-ye, GUO Han-ying. Effect of traffic and transportation preventing and controlling sever acute respiratory syndrome epidemic situation[J]. Journal of Transportation Engineering and Information, 2003, 1(1): 31-36. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JTGC200301004.htm
    [7]
    郭寒英, 张殿业, 石红国. 交通运输突发疫情扩散理论与模型研究[J]. 铁道运输与经济, 2004, 26(2): 65-67. doi: 10.3969/j.issn.1003-1421.2004.02.028

    GUO Han-ying, ZHANG Dian-ye, SHI Hong-guo. Spreading theory and model study of broke-out diseases in traffic and transportation[J]. Railway Transport and Economy, 2004, 26(2): 65-67. (in Chinese). doi: 10.3969/j.issn.1003-1421.2004.02.028
    [8]
    孙根年, 马丽君. 2003年SARS对我国铁路客运量的后影响评价[J]. 铁道学报, 2006, 28(6): 28-34. doi: 10.3321/j.issn:1001-8360.2006.06.005

    SUN Gen-nian, MA Li-jun. Post-evaluation of impact of SARS in 2003 on railway passenger traffic volumes[J]. Journal of the China Railway Society, 2006, 28(6): 28-34. (in Chinese). doi: 10.3321/j.issn:1001-8360.2006.06.005
    [9]
    FANG L Q, DE VLAS S J, LIANG S, et al. Environmental factors contributing to the spread of H5N1 avian influenza in mainland China[J]. Plos One, 2008, 3(5): e2268. doi: 10.1371/journal.pone.0002268
    [10]
    曹春香, 徐敏, 常超一, 等. 基于元模型的高致病性禽流感传播风险研究[J]. 科学通报, 2010, 55(33): 3205-3213. https://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201033007.htm

    CAO Chun-xiang, XU Min, CHANG Chao-yi, et al. Risk analysis for the highly pathogenic avian influenza in mainland China using meta-modeling[J]. Chinese Science Bulletin, 2010, 55(33): 3205-3213. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201033007.htm
    [11]
    KHAN K, ARINO J, HU W, et al. Spread of a novel influenza a (H1N1) virus via global airline transportation[J]. New England Journal of Medicine, 2009, 361(2): 212-214. doi: 10.1056/NEJMc0904559
    [12]
    常超一, 曹春香, 王桥, 等. H1N1甲型流感全球航空传播与早期预警研究[J]. 科学通报, 2010, 55(12): 1128-1133. https://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201012009.htm

    CHANG Chao-yi, CAO Chun-xiang, WANG Qiao, et al. The novel H1N1 influenza a global airline transmission and early warning without travel containments[J]. Chinese Science Bulletin, 2010, 55(12): 1128-1133. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201012009.htm
    [13]
    黄澄澄, 庞科, 高红丽. 重庆市某医院89例新型冠状病毒肺炎患者的临床特征分析[J]. 第三军医大学学报, 2020, 42(9): 883-886. https://www.cnki.com.cn/Article/CJFDTOTAL-DSDX202009006.htm

    HUANG Cheng-cheng, PANG Ke, GAO Hong-li. Clinical characteristics of coronavirus disease 2019 in a Chongqing hospital: analysis of 89 cases[J]. Journal of Third Military Medical University, 2020, 42(9): 883-886. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-DSDX202009006.htm
    [14]
    向天新, 刘家明, 许飞, 等. 江西地区49例新型冠状病毒肺炎患者临床特征分析[J]. 中国呼吸与危重监护杂志, 2020, 19(2): 154-160. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHW202002022.htm

    XIANG Tian-xin, LIU Jia-ming, XU Fei, et al. Analysis of clinical characteristics of 49 patients with coronavirus disease 2019 in Jiangxi[J]. Chinese Journal of Respiratory and Critical Care Medicine, 2020, 19(2): 154-160. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHW202002022.htm
    [15]
    余思邈, 王仲霞, 秦恩强, 等. 25例新型冠状病毒肺炎患者临床特征分析[J]. 中国中西医结合杂志, 2020, 40(3): 369-370. https://www.cnki.com.cn/Article/CJFDTOTAL-ZZXJ202003031.htm

    YU Si-miao, WANG Zhong-xia, QIN En-qiang, et al. Clinical characteristics of 25 suspected novel coronavirus pneumonia patients[J]. Chinese Journal of Integrated Traditional and Western Medicine, 2020, 40(3): 369-370. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZZXJ202003031.htm
    [16]
    夏文广, 安长青, 郑婵娟, 等. 中西医结合治疗新型冠状病毒肺炎34例临床研究[J]. 中医杂志, 2020, 61(5): 375-382. doi: 10.3969/j.issn.0411-8421.2020.05.045

    XIA Wen-guang, AN Chang-qing, ZHENG Chan-juan, et al. Clinical observation on 34 patients with novel coronavirus pneumonia (COVID-19) treated with integrated traditional Chinese and Western medicine[J]. Journal of Traditional Chinese Medicine, 2020, 61(5): 375-382. (in Chinese). doi: 10.3969/j.issn.0411-8421.2020.05.045
    [17]
    李敏, 王进. 氨溴索治疗2019新型冠状病毒肺炎的研究现状[J]. 中国临床药理学杂志, 2020, 36(9): 1157-1159, 1168. https://www.cnki.com.cn/Article/CJFDTOTAL-GLYZ202009030.htm

    LI Min, WANG Jin. Research status of ambroxol in the treatment of coronavirus disease 2019[J]. The Chinese Journal of Clinical Pharmacology, 2020, 36(9): 1157-1159, 1168. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GLYZ202009030.htm
    [18]
    郑楷炼, 张优, 王琼娅, 等. 糖皮质激素联合大剂量免疫球蛋白成功治疗重型新型冠状病毒肺炎1例临床经验分析[J]. 第二军医大学学报, 2020, 41(2): 181-185. https://www.cnki.com.cn/Article/CJFDTOTAL-DEJD202002010.htm

    ZHENG Kai-lian, ZHANG You, WANG Qiong-ya, et al. Severe coronavirus disease 2019 successfully treated with glucocorticoid and high-dose intravenous immunoglobulin: a case report and analysis of clinical experience[J]. Academic Journal of Second Military Medical University, 2020, 41(2): 181-185. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-DEJD202002010.htm
    [19]
    孙凯滨, 张新雨, 刘静, 等. 小柴胡汤治疗早期新型冠状病毒肺炎(COVID-19)邪热郁肺、枢机不利证功效网络分析与机制预测[J]. 中草药, 2020, 51(7): 1750-1760. https://www.cnki.com.cn/Article/CJFDTOTAL-ZCYO202007009.htm

    SUN Kai-bin, ZHANG Xin-yu, LIU Jing, et al. Network pharmacological analysis and mechanism prediction of Xiaochaihu decoction in treatment of COVID-19 with syndrome of pathogenic heat lingering in lung and obstructive cardinalate[J]. Chinese Traditional and Herbal Drugs, 2020, 51(7): 1750-1760. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZCYO202007009.htm
    [20]
    倪忠, 罗凤鸣, 王吉梅, 等. 针对新型冠状病毒肺炎患者的雾化吸入治疗的建议[J]. 中国呼吸与危重监护杂志, 2020, 19(2): 120-124. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHW202002009.htm

    NI Zhong, LUO Feng-ming, WANG Ji-mei, et al. Recommendations for nebulized inhalation therapy for COVID-19 patients[J]. Chinese Journal of Respiratory and Critical Care Medicine, 2020, 19(2): 120-124. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHW202002009.htm
    [21]
    王玉光, 齐文升, 马家驹, 等. 新型冠状病毒肺炎中医临床特征与辨证治疗初探[J]. 中医杂志, 2020, 61(4): 281-285. doi: 10.3969/j.issn.0411-8421.2020.04.025

    WANG Yu-guang, QI Wen-sheng, MA Jia-ju, et al. Clinical features and syndrome differentiation of novel coronavirus pneumonia in traditional Chinese medicine[J]. Journal of Traditional Chinese Medicine, 2020, 61(4): 281-285. (in Chinese). doi: 10.3969/j.issn.0411-8421.2020.04.025
    [22]
    姚文清, 孙佰红, 田园梦, 等. 辽宁省125例新型冠状病毒肺炎确诊病例流行病学特征分析[J]. 中国公共卫生, 2020, 36(4): 481-485. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW202004005.htm

    YAO Wen-qing, SUN Bai-hong, TIAN Yuan-meng, et al. Epidemiological characteristics of 125 confirmed novel coronavirus disease in Liaoning Province[J]. Chinese Journal of Public Health, 2020, 36(4): 481-485. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW202004005.htm
    [23]
    王小军, 高婧, 王小博, 等. 甘肃省新型冠状病毒肺炎病例的临床及流行病学特征[J]. 中国感染控制杂志, 2020, 19(3): 223-226. https://www.cnki.com.cn/Article/CJFDTOTAL-GRKZ202003004.htm

    WANG Xiao-jun, GAO Jing, WANG Xiao-bo, et al. Clinical and epidemiological characteristics of patients with COVID-19 in Gansu Province[J]. Chinese Journal of Infection Control, 2020, 19(3): 223-226. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GRKZ202003004.htm
    [24]
    梁继仁, 韦松华, 钱秀芳, 等. 14例新型冠状病毒肺炎病例流行病学和临床特征[J]. 中国感染控制杂志, 2020, 19(3): 245-249. https://www.cnki.com.cn/Article/CJFDTOTAL-GRKZ202003008.htm

    LIANG Ji-ren, WEI Song-hua, QIAN Xiu-fang, et al. Epidemiological and clinical characteristics of 14 cases of COVID-19[J]. Chinese Journal of Infection Control, 2020, 19(3): 245-249. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GRKZ202003008.htm
    [25]
    庄英杰, 陈竹, 李进, 等. 26例新型冠状病毒肺炎确诊病例临床和流行病学特征[J]. 中华医院感染学杂志, 2020, 30(6): 826-829. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHYY202006008.htm

    ZHUANG Ying-jie, CHEN Zhu, LI Jin, et al. Clinical and epidemiological characteristics of 26 patients diagnosed with COVID-19[J]. Chinese Journal of Nosocomiology, 2020, 30(6): 826-829. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZHYY202006008.htm
    [26]
    张源慧, 唐龙, 蒋倩, 等. 紧急异地救援抗击新型冠状病毒肺炎的护士早期心理困扰调查[J]. 护理学杂志, 2020, 35(5): 5-8. https://www.cnki.com.cn/Article/CJFDTOTAL-HLXZ202005004.htm

    ZHANG Yuan-hui, TANG Long, JIANG Qian, et al. Psychological distress among nurses who are from other provinces and engaged in assisting to combat the recent outbreak of COVID-19 in Wuhan[J]. Journal of Nursing Science, 2020, 35(5): 5-8. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HLXZ202005004.htm
    [27]
    时丹怡, 范宝超, 常新见, 等. 新型冠状病毒(SARS-CoV-2)与常见家养动物冠状病毒的同源性分析[J]. 江苏农业学报, 2020, 36(1): 251-253. https://www.cnki.com.cn/Article/CJFDTOTAL-JSNB202001036.htm

    SHI Dan-yi, FAN Bao-chao, CHANG Xin-jian, et al. Genetic analysis on the homology between severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) and common domestic animal coronaviruses[J]. Jiangsu Journal of Agricultural Sciences, 2020, 36(1): 251-253. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JSNB202001036.htm
    [28]
    匡慧慧, 于梅, 于帅, 等. 新型冠状病毒实验室核酸检测方法及实践[J]. 中华医院感染学杂志, 2020, 30(6): 830-833. https://www.cnki.com.cn/Article/CJFDTOTAL-ZHYY202006009.htm

    KUANG Hui-hui, YU Mei, YU Shuai, et al. Detection of nucleic acid of 2019-nCoV in medical laboratory and its practice[J]. Chinese Journal of Nosocomiology, 2020, 30(6): 830-833. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZHYY202006009.htm
    [29]
    叶莹, 范威, 王海峰, 等. 河南省新型冠状病毒肺炎聚集性疫情流行病学特征分析[J]. 中国公共卫生, 2020, 36(4): 465-468. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW202004001.htm

    YE Ying, FAN Wei, WANG Hai-feng, et al. Clustering of 2019 novel coronavirus disease epidemic in Henan Province[J]. Chinese Journal of Public Health, 2020, 36(4): 465-468. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW202004001.htm
    [30]
    陈芳, 吴家兵, 姜静静, 等. 安徽省新型冠状病毒肺炎聚集性疫情流行特征与防控措施分析[J]. 中国公共卫生, 2020, 36(4): 469-472. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW202004002.htm

    CHEN Fang, WU Jia-bing, JIANG Jing-jing, et al. Epidemiological characteristics of clusters of COVID-19 in Anhui Province[J]. Chinese Journal of Public Health, 2020, 36(4): 469-472. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW202004002.htm
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