[1] |
POON L L M, PEIRIS M. Emergence of a novel human coronavirus threatening human health[J]. Nature Medicine, 2020, 26(3): 317-319. |
[2] |
DONG E S, DU H R, GARDNER L. An interactive web-based dashboard to track COVID-19 in real time[J]. The Lancet Infectious Diseases, 2020, 20(5): 533-534. |
[3] |
CHAN J F W, YUAN S, 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. |
[4] |
LAUER S A, GRANTZ K H, BI Q, et al. The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: Estimation and application[J]. Annals of Internal Medicine, 2020, 172(9): 577-582. |
[5] |
LI Q, GUAN X, WU P, et al. Early transmission dynamics in Wuhan, China of novel coronavirus-infected pneumonia[J]. New England Journal of Medicine, 2020, 382(13): 1199-1207. |
[6] |
周涛, 刘权辉, 杨紫陌, 等. 新型冠状病毒肺炎基本再生数的初步预测[J]. 中国循证医学杂志, 2020, 20(3): 359-364. |
ZHOU Tao, LIU Quan-hui, YANG Zi-mo, et al. Preliminary prediction of the basic reproduction number of the novel coronavirus 2019-nCoV[J]. Chinese Journal of Evidence-Based Medicine, 2020, 20(3): 359-364. |
[7] |
WU J T, LEUNG K, LEUNG G M. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: A modelling study[J]. The Lancet, 2020, 395(10225): 689-697. |
[8] |
TANG B, WANG X, LI Q, et al. Estimation of the transmission risk of 2019-nCov and its implication for public health interventions[J]. Journal of Clinical Medicine, 2020, 9(2): 462. |
[9] |
范如国, 王奕博, 罗明, 等. 基于SEIR的新型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 Ru-guo, WANG Yi-bo, LUO Ming, 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. |
[10] |
WANG C, LIU L, HAO X, et al. Evolving epidemiology and impact of non-pharmaceutical interventions on the outbreak of coronavirus disease 2019 in Wuhan, China[EB/OL]. (2020-03-03). https://doi.org/10.1101/2020.03.03.20030593. |
[11] |
魏永越, 卢珍珍, 杜志成, 等. 基于改进的SEIR+CAQ传染病动力学模型进行新型冠状病毒肺炎疫情趋势分析[J]. 中华流行病学杂志, 2020, 41(4): 470-475. |
WEI Yong-yue, LU Zhen-zhen, DU Zhi-cheng. Fitting and forecasting the trend of COVID-19 by SEIR+CAQ dynamic model[J]. Chinese Journal of Epidemiology, 2020, 41(4): 470-475. |
[12] |
魏永越, 赵杨, 陈峰, 等. 传染病动力学模型的理论基础及在疫情防控中的应用价值[J/OL]. 中华预防医学杂志, 2020, https://doi.org/10.3760/cma.j.cn112150-20200315-00340. |
WEI Yong-yue, ZHAO Yang, CHEN Feng, et al. Principles of dynamics model and its application in forecasting the epidemics and evaluation the efforts of prevention and control interventions[J/OL]. Chinese Journal of Prevention Medicine, 2020, https://doi.org/10.3760/cma.j.cn112150-20200315-00340. |
[13] |
许小可, 文成, 张光耀, 等. 新冠肺炎爆发前期武汉外流人口的地理去向分布及影响[J]. 电子科技大学学报, 2020, 49(3): 324-329. |
XU Xiao-ke, WEN Cheng, ZHANG Guang-yao, et al. The geographical destination distribution and effect of outflow population of wuhan when the outbreak of COVID-19[J]. Journal of University of Electronic Science and Technology of China, 2020, 49(3): 324-329. |
[14] |
GROSS B, ZHENG Z, LIU S, et al. Spatio-temporal propagation of COVID-19 pandemics[EB/OL]. (2020-03-23). https://doi.org/10.1101/2020.03.23.20041517. |
[15] |
JIA J S, LU X, YUAN Y, et al. Population flow drives spatio-temporal distribution of COVID-19 in China[J]. Nature, 2020(582): 389-394. |
[16] |
TIAN H, LIU Y, LI Y, et al. An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China[J]. Science, 2020, 368(6491): 638-642. |
[17] |
YANG C, WANG R, GAO F, et al. Quantifying projected impact of social distancing policies on COVID-19 outcomes in the US[EB/OL]. (2020-04-30). https://arxiv.org/abs/2005.00112. |
[18] |
BRUGNAGO E L, SILVA R M D, MANCHEIN C, et al. How relevant is the decision of containment measures against COVID-19 applied ahead of time?[EB/OL]. (2020-05-04). https://arxiv.org/abs/2005.01473. |
[19] |
GAO S, RAO J, KANG Y, et al. Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic[EB/OL]. (2020-04-23). https://arxiv.org/abs/2004.11430. |
[20] |
FERGUSON N M, LAYDON D, GEMMA N G, et al. Report 9-impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand[EB/OL]. [2020-05-12]. https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/covid-19/report-9-impact-of-npis-on-covid-19/. |
[21] |
中华预防医学会新型冠状病毒肺炎防控专家组. 新型冠状病毒肺炎流行病学特征的最新认识[J]. 中华流行病学杂志, 2020, 41(2): 139-144. |
Special Expert Group for Control of the Epidemic of Novel Coronavirus Pneumonia of the Chinese Preventive Medicine Association. An update on the epidemiological characteristics of novel coronavirus pneumonia (COVID-19)[J]. Chinese Journal of Epidemiology, 2020, 41(2): 139-144. |
[22] |
QIU Yun, XI Chen, WEI Shi. Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China[EB/OL]. (2020-03-13). https://doi.org/10.1101/2020.03.13.20035238v1. |
[23] |
ROSSMAN H, KESHET A, SHILO S, et al. A framework for identifying regional outbreak and spread of COVID-19 from one-minute population-wide surveys[J]. Nature Medicine, 2020, 26(5): 634-638. |
[24] |
LAU L S, SAMARI G, MORESKY R T, et al. COVID-19 in humanitarian settings and lessons learned from past epidemics[J]. Nature Medicine, 2020, 26(5): 647-648. |
[25] |
张文宏. 追踪密切接触者是最具成本效益的防控措施[EB/OL]. [2020-06-04]. http://www.caixin.com/2020-06-04/101562835.html. |
ZHANG Wen-hong. Tracking close contacts is the most cost-effective prevention and control measure[EB/OL]. [2020-06-04]. http://www.caixin.com/2020-06-04/101562835.html. |
[26] |
雷明玉, 黄艳, 勾云, 等. 贵州省新型冠状病毒肺炎聚集性疫情特征分析[J]. 中国公共卫生, 2020, 36(4): 493-497. |
LEI Ming-yu, HUANG Yan, GOU Yun, et al. Characteristics of cluster epidemic of 2019 novel coronavirus disease in Guizhou province[J]. Chinese Journal of Public Health, 2020, 36(4): 493-497. |
[27] |
曾晶, 邱乐平, 邹晏, 等. 四川省新型冠状病毒肺炎密切接触者分析[J]. 中国公共卫生, 2020, 36(4): 503-506. |
ZENG Jing, QIU Le-ping, ZOU Yan, et al. Epidemiological outcome of close contacts of coronavirus disease 2019 cases in Sichuan province[J]. Chinese Journal of Public Health, 2020, 36(4): 503-506. |
[28] |
马钰, 马蒙蒙, 罗业飞, 等. 广州市新型冠状病毒肺炎密切接触者感染危险因素分析[J]. 中国公共卫生, 2020, 36(4): 507-511. |
MA Yu, MA Meng-meng, LUO Ye-fei. Risk factors of 2019 novel coronavirus infection among close contacts in Guangzhou city[J]. Chinese Journal of Public Health, 2020, 36(4): 507-511. |
[29] |
杨丽, 李战, 刘晓雪, 等. 济南市新型冠状病毒肺炎密切接触者隔离医学观察情况分析与评价[J]. 山东大学学报(医学版), 2020, 58(4): 12-16. |
YANG Li, LI Zhang, LIU Xiao-xue, et al. Analysis and evaluation of the isolation medicine observation for close contacts of coronavirus disease 2019 in Jinan city[J]. Joutanl of Shandong University (HEALTH SCIENCES), 2020, 58(4): 12-16. |