[1] 中华人民共和国国家卫生健康委员会疾病预防控制局. 《中国-世界卫生组织新型冠状病毒肺炎(COVID-19)联合考察报告》发布[EB/OL]. (2020-02-29)[2020-07-31]. http://www.nhc.gov.cn/jkj/s3578/202002/87fd92510d094e4b9bad597608f5cc2c.shtml. Bureau of Disease Control and Preventions, National Health Commission of the People's Republic of China. China-WHO novel coronavirus pneumonia (COVID-19) joint investigation report[EB/OL]. (2020-02-29)[2020-07-31]. http://www.nhc.gov.cn/jkj/s3578/202002/87fd92510d094e4b9bad597608f5cc2c.shtml. (in Chinese)
[2] 中国疾病预防控制中心新型冠状病毒肺炎应急响应机制流行病学组. 新型冠状病毒肺炎流行病学特征分析[J]. 中华流行病学杂志, 2020, 41(2):145-151. Epidemiology Working Group for NCIP Epidemic Response. The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China[J]. Chinese Journal of Epidemiology, 2020, 41(2):145-151. (in Chinese)
[3] 夏吉喆, 周颖, 李珍, 等. 城市时空大数据驱动的新型冠状病毒传播风险评估——以粤港澳大湾区为例[J]. 测绘学报, 2020, 49(6):671-680. XIA J Z, ZHOU Y, LI Z, et al. COVID-19 risk assessment driven by urban spatiotemporal big data:A case study of Guangdong-Hong Kong-Macao Greater Bay Area[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(6):671-680. (in Chinese)
[4] 陈彬, 艾川, 马亮, 等. 大局稳定、局部冒泡, 应对疫情应做好持久战的准备——利用计算实验进行疫情间复工复学风险分析[J]. 系统仿真学报, 2020-02-24. CHEN B, AI C, MA L, et al. The overall situation is stable and partially bubbling, and the epidemic should be prepared for a protracted war-using computational experiments to analyze the risk of resuming work and school between epidemics[J]. Journal of System Simulation, 2020-02-24. (in Chinese)
[5] 范如国, 王奕博, 罗明, 等. 基于SEIR的新冠肺炎传播模型及拐点预测分析[J]. 电子科技大学学报, 2020, 49(3):369-374. FAN R G, WANG Y B, LUO M, et al. SEIR-based COVID-19 transmission model and inflection point prediction analysis[J]. Journal of University of Electronic Science and Technology of China, 2020, 49(3):369-374. (in Chinese)
[6] 耿辉, 徐安定, 王晓艳, 等. 基于SEIR模型分析相关干预措施在新型冠状病毒肺炎疫情中的作用[J]. 暨南大学学报(自然科学与医学版), 2020, 41(2):175-180. GENG H, XU A D, WANG X Y, et al. Analysis of the role of current prevention and control measures in the epidemic of corona virus disease 2019 based on SEIR model[J]. Journal of Jinan University (Natural Science & Medicine Edition), 2020, 41(2):175-180. (in Chinese)
[7] 曹盛力, 冯沛华, 时朋朋. 修正SEIR传染病动力学模型应用于湖北省2019冠状病毒病(COVID-19)疫情预测和评估[J]. 浙江大学学报(医学版), 2020, 49(2):178-184. CAO S L, FENG P H, SHI P P. Study on the epidemic development of COVID-19 in Hubei province by a modified SEIR model[J]. Journal of Zhejiang University (Medical Sciences), 2020, 49(2):178-184. (in Chinese)
[8] YANG Z F, ZENG Z Q, WANG K, et al. Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions[J]. Journal of Thoracic Disease, 2020, 12(3):165-174.
[9] 王志心, 刘治, 刘兆军. 基于机器学习的新型冠状病毒(COVID-19)疫情分析及预测[J]. 生物医学工程研究, 2020, 39(1):1-5. WANG Z X, LIU Z, LIU Z J. COVID-19 analysis and forecast based on machine learning[J]. Journal of Biomedical Engineering Research, 2020, 39(1):1-5. (in Chinese)
[10] 张琳. 新冠肺炎疫情传播的一般增长模型拟合与预测[J]. 电子科技大学学报, 2020, 49(3):345-348. ZHANG L. Fitness of the generalized growth to the COVID-19 data[J]. Journal of University of Electronic Science and Technology of China, 2020, 49(3):345-348. (in Chinese)
[11] 黄国, 朱宇平, 黄焕莺. 季节性ARIMA模型在江门市手足口病疫情预测中的应用[J]. 中国卫生统计, 2019, 36(1):65-67. HUANG G, ZHU Y P, HUANG H Y. The application of seasonal ARIMA model in forecasting HFMD epidemic situation in Jiangmen city[J]. Chinese Journal of Health Statistics, 2019, 36(1):65-67. (in Chinese)
[12] 李昊, 段德光, 陶学强, 等. 传染病动力学模型及其在新型冠状病毒肺炎疫情仿真预测中的应用综述[J]. 医疗卫生装备, 2020, 41(3):7-12. LI H, DUAN D G, TAO X Q, et al. Review on infectious disease dynamics models and their applications in COVID-19 epidemic simulation and prediction[J]. Chinese Medical Equipment Journal, 2020, 41(3):7-12. (in Chinese)
[13] 黄丽红, 魏永越, 沈思鹏, 等. 常见新型冠状病毒肺炎疫情预测方法及其评价[J]. 中国卫生统计, 2020, 37(3):322-326. HUANG L H, WEI Y Y, SHEN S P, et al. Evaluation of predictive models novel coronavirus pneumonia[J]. Chinese Journal of Health Statistics, 2020, 37(3):322-326. (in Chinese)
[14] 宋智超. 基于人工社会的流行病传播与控制仿真方法研究[D]. 长沙:国防科学技术大学, 2012. SONG Z C. Research on simulation technologies of the epidemics transmission and control based on social society[D]. Changsha:National University of Defense Technology, 2012. (in Chinese)
[15] 谭骏翔. 基于多智能体与GIS集成的艾滋病传播仿真建模技术研究[D]. 昆明:云南师范大学, 2009. TAN J X. Research on AIDS transmission simulation modeling technology based on Multi-Agent and GIS Integration[D]. Kunming:Yunnan Normal University, 2009. (in Chinese)
[16] 杨昆, 李江荣, 崔庆雄, 等. 艾滋病传播的智能体与GIS的集成模型研究[J]. 云南师范大学学报(哲学社会科学版), 2008, 40(4):14-20. YANG K, LI J R, CUI Q X, et al. The spreading agent of aids and the GIS model[J]. Journal of Yunnan Normal University (Humanities and Social Sciences Edition), 2008, 40(4):14-20. (in Chinese)
[17] 武汉市统计局.2019年武汉市国民经济和社会发展统计公报[EB/OL]. (2020-03-29)[2020-07-07]. http://tjj.wuhan.gov.cn/tjfw/tjgb/202004/t20200429_1191417.shtml. Wuhan Bureau of Statistics. Wuhan national economic and social development statistical announcement in 2019[EB/OL]. (2020-03-29)[2020-07-07]. http://tjj.wuhan.gov.cn/tjfw/tjgb/202004/t20200429_1191417.shtml. (in Chinese)
[18] 葛渊峥, 宋智超, 孟荣清. 人工社会大规模人工人口生成方法综述[J]. 系统仿真学报, 2019, 31(10):1951-1959. GE Y Z, SONG Z C, MENG R Q. The method summary of generating large-scale artificial population in an artificial society[J]. Journal of System Simulation, 2019, 31(10):1951-1959. (in Chinese)
[19] WATTS D J, STROGATZ S H. Collective dynamics of ‘small-world’ networks[J]. Nature, 1998, 393(6684):440-442.
[20] 梁志妹. 基于多Agent、复杂网络与GIS的甲型H1N1流感传播仿真平台研究[D]. 昆明:云南师范大学, 2011. LI Z M. Research on the simulation platform of influenza a h1n1 spread based on multi-agent, complex network and GIS[D]. Kunming:Yunnan Normal University, 2011. (in Chinese)
[21] 陈关荣. 复杂网络及其新近研究进展简介[J]. 力学进展, 2008, 38(6):653-662. CHEN G R. Introduction to complex networks and their recent advances[J]. Advances in Mechanics, 2008, 38(6):653-662. (in Chinese)
[22] 刘涛, 黎夏, 刘小平. 基于小世界网络的多智能体及传染病时空传播模拟[J]. 科学通报, 2009, 54(24):45-54. LIU T, LI X, LIU X P. Integration of small world networks with mult-agent systems for simulating epidemic spatiotemporal transmission[J]. Chinese Science Bulletin, 2009, 54(24):45-54. (in Chinese)
[23] 刘耀宝, 曹俊. 我国境外输入性疟疾防控策略对当前新型冠状病毒肺炎防控工作的启示[J]. 中国血吸虫病防治杂志, 2020, 32(2):113-118. LIU Y B, CAO J. Management of coronavirus disease 2019(COVID-19):Experiences from imported malaria control in China[J]. Chinese Journal of Schistosomiasis Control, 2020, 32(2):113-118. (in Chinese)