[1]World Health Organization. Press conferences on COVID-19 [EB/OL]. [2020-12-22]. https://www.who.int/emergencies/diseases/novel-coronavirus-2019.
[2]中国政府网. 国务院联防联控机制权威发布[EB/OL]. [2021-01-13]. http://www.gov.cn/xinwen/gwylflkjz145/mobile.htm.
[3]Pater A A, Bosmeny M S, Barkau C L, et al. Emergence and evolution of a prevalent new SARS-CoV-2 variant in the united states[DB/OL]. (2021-01-19)[2021-01-28]. http://www.biorxiv.org.cotent/10.1101/2021.01.11.
[4]Volz E, Mishra S, Chand M, et al. Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England[J]. Nature, 2021,593(1):266-269.
[5]环球网. 多地出现本土病例,警惕新冠病毒“环境传人”[EB/OL]. [2020-12-21]. https://3w.huanqiu.com/a/de583b/41BbiCxtKZ0.
Global Times. Multiole local cases occured, alerting to the “enviroment-to-human” transmission of novel coronavirus[EB/OL]. [2020-12-21]. https://3w.huanqiu.com/a/de583b/41BbiCxtKZ0.
[6]Liu P, Yang M, Zhao X, et al. Cold-chain transportation in the frozen food industry may have caused a recurrence of COVID-19 cases in destination: successful isolation of SARS-CoV-2 virus from the imported frozen cod package surface [J]. Biosafety and Health, 2020, 2(4): 199-201.
[7]人民日报的微博视频. 天津防疫发布会[EB/OL]. [2020-11-24]. https://weibo.com/tv/show/1042211:457486633081244 4?from=old_pc_videoshow.
People′s Daily Weibo Video. Press conference of the epidemic prevention of Tianjin [EB/OL]. [2020-11-24]. https://weibo.com/tv/show/1042211:457486633081244 4?from=old_pc_videoshow.
[8]Pang X, Ren L, Wu S, et al. Cold-chain food contamination as the possible origin of COVID-19 resurgence in Beijing [J]. National Science Review, 2020, 7(12): 1861-1864.
[9]Weissman G E, Crane-Droesch A, Chivers C, et al. Locally informed simulation to predict hospital capacity needs during the COVID-19 pandemic [J]. Annals of Internal Medicine, 2020, 173(1): 21-28.
[10] Zhou X, Wu Z, Yu R, et al. Modelling-based evaluation of the effect of quarantine control by the Chinese government in the coronavirus disease 2019 outbreak [J]. Science China Life Sciences, 2020, 63(8): 1257-1260.
[11] 王思远, 谭瀚霖, 李东杰. 基于改进传染病动力学易感-暴露-感染-恢复(SEIR)模型预测新型冠状病毒肺炎疫情[J]. 第二军医大学学报, 2020, 41(6): 637-641.
Wang Siyuan, Tan Hanlin, Li Dongjie. Coronavirus disease 2019 epidemic trend prediction based on improved infectious disease dynamics susceptible-exposed-infected-recovered (SEIR) model[J]. Academic Journal of Second Military Medical University, 2020, 41(6): 637-641.
[12] 严阅, 陈瑜, 刘可伋, 等. 基于一类时滞动力学系统对新型冠状病毒肺炎疫情的建模和预测[J]. 中国科学:数学, 2020, 50(3): 385-392.
Yan Yue, Chen Yu, Liu Keji, et al. Modeling and prediction for the trend of outbreak of NCP based on a time-delay dynamic system[J]. Scientia Sinica Mathematica, 2020, 50(3): 385-392.
[13] Chen Y, Cheng J, Jiang Y, et al. A time delay dynamical model for outbreak of 2019-nCoV and the parameter identification [J]. Journal of Inverse and Ill-posed Problems, 2020, 28(2): 243-250.
[14] Yang Z, Zeng Z, 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.
[15] Zu J, Li M L, Li Z F, et al. Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data-and model-driven study [J]. Infectious Diseases of Poverty, 2020, 9(83): 1-14.
[16] Prem K, Liu Y, Russell T W, et al. The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study [J]. Lancet Public Health, 2020, 5(5): 261-270.
[17] Li Q, Guan X H, Wu P, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia [J]. The New England Journal of Medicine, 2020, 382(13): 1199-1207.
[18] Chan J F-W, Yuan S F, Kok K-H, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster [J]. The Lancet, 2020, 395(10223): 514-523.
[19] 央视新闻微博. 专家回应无症状感染者传播[EB/OL]. [2021-01-13]. http://weibo.com/cctvxinwen?is_all=1&stat_date=2021011&page=20#feedtop.
CCTV New Weibo. Experts respond to the vival transmission in asymptomatic infected individuals[EB/OL]. [2021-01-13]. http://weibo.com/cctvxinwen?is_all=1&stat_date=2021011&page=20#feedtop.
[20] 大连市统计局,国家统计局大连调查队. 大连统计年鉴2019[M]. 北京: 中国统计出版社,2019.
[21] 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 Shengli, Feng Peihua, Shi Pengpeng. Study on the epidemic development of corona virus disease-19 (COVID-19) in Hubei province by a modified SEIR model[J]. Journal of Zhejiang University (Medical Sciences), 2020, 49(2): 178-184.
[22] 王霞, 唐三一, 陈勇, 等. 新型冠状病毒肺炎疫情下武汉及周边地区何时复工? 数据驱动的网络模型分析[J]. 中国科学:数学, 2020, 50(7): 969-978.
Wang Xia, Tang Sanyi, Chen Yong, et al. When will be the resumption of work in Wuhan and its surrounding areas during COVID-19 epidemic? A data-driven network modeling analysis[J]. Scientia Sinica Mathematica, 2020, 50(7): 969-978.
[23] 武文韬, 李达宁, 李莉, 等. 基于SIR模型分析不同强度防控手段在当前武汉市新型冠状病毒(2019-nCoV)感染的肺炎疫情中的作用[J]. 医学新知, 2020, 30(1): 78-82.
Wu Wentao, Li Daning, Li Li, et al. Analysis of the role of different intensity prevention and control measures in the current epidemic of novel coronavirus (2019-nCoV) infected pneumonia in Wuhan based on SIR model[J]. New Medicine, 2020, 30(1): 78-82.
[24] 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 Hui, Xu Anding, Wang Xiaoyan, 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.
[25] 葛洪磊, 刘南. 重大传染病疫情演化情境下应急物资配置决策建模分析:以新冠肺炎疫情为例[J]. 管理工程学报, 2020, 34(3): 214-222.
Ge Honglei, Liu Nan. Modeling of emergency materials allocation decision-making problems based on the evolution scenarios of serious infectious disease: a case of COVID-19 [J]. Journal of Industrial Engineering/Engineering Management, 2020, 34(3): 214-222.
[26] 央视网. 新冠病毒出现“环境传人”如何应对？[EB/OL]. [2020-12-21]. https://news.cctv.com/2020/12/21/ARTIJGcRHu6PCbVjowPPAkGH201221.shtml.
CCTV. How to deal with the “environment-to-human” transmission of COVID-19?[EB/OL]. [2020-12-21]. https://news.cctv.com/2020/12/21/ARTIJGcRHu6PCbVjowPPAkGH201221.shtml.
