Paper - WANFANG MED ONLINE

You Position: Home > Paper

Brief introduction of the application of microsimulation model in the primary and secondary cancer prevention

( views:59, downloads:3 )

Author:: No author available

Journal Title:: Chinese Journal of Preventive Medicine

Issue:: 10

DOI:: 10.3760/cma.j.cn112150-20210118-00047

Key Word:: 肿瘤;一级预防;二级预防;微观模拟模型;Neoplasms;Primary prevention;Secondary prevention;Microsimulation model

Abstract： Microsimulation model research can simulate a large number of micro individuals with different characteristics, build disease progression models, and evaluate the effects and benefits of risk factor control and early intervention strategies used in disease prevention and control, which could overcome the limitations of traditional epidemiological research, such as high investment and long time-consuming, and provide important evidence support for decision-making. This study introduces the definition and methods of microsimulation model, and articulates the application of three modeling methods including Markov model, decision-tree model and discrete event model in the primary and secondary cancer prevention, in order to provide reference for relevant disease prevention and control research in the future.

Reference

[1]Romain, Ragonnet,James M, Trauer,Justin T, Denholm,etc.Vaccination Programs for Endemic Infections: Modelling Real versus Apparent Impacts of Vaccine and Infection Characteristics.[J].2015,5.
[2]Kahn, Rebecca,Hitchings, Matt,Wang, Rui,etc.Analyzing Vaccine Trials in Epidemics With Mild and Asymptomatic Infection[J].2019,188(2).
[3]Joel,Hellewell,Sam,Abbott,Amy,Gimma,etc.Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts.[J].2020,8(4).
[4]López Leonardo,Rodó Xavier.The end of social confinement and COVID-19 re-emergence risk[J].2020,4(7).
[5]Zhao Shi,Shen Mingwang,Musa Salihu S.,etc.Inferencing superspreading potential using zero-truncated negative binomial model: exemplification with COVID-19[J].2021,21(1).
[6]Fred Brauer.Mathematical epidemiology: Past, present, and future[J].2017,2(2).
[7]Merler, Stefano,Ajelli, Marco,Fumanelli, Laura,etc.Spatiotemporal spread of the 2014 outbreak of Ebola virus disease in Liberia and the effectiveness of non-pharmaceutical interventions: a computational modelling analysis[J].2015,15(2).
[8]Jasmina Panovska-Griffiths,Cliff C Kerr,Robyn M Stuart,etc.Determining the optimal strategy for reopening schools, the impact of test and trace interventions, and the risk of occurrence of a second COVID-19 epidemic wave in the UK: a modelling study[J].2020,4(11).
[9]Ullah, Saif,Khan, Muhammad Altaf.Modeling the impact of non-pharmaceutical interventions on the dynamics of novel coronavirus with optimal control analysis with a case study[J].2020,139.
[10]Wei Ke,Zhou,Ai Li,Wang,Fan,Xia,etc.Effects of media reporting on mitigating spread of COVID-19 in the early phase of the outbreak.[J].2020,17(3).
[11]Wang Liang,Didelot Xavier,Yang Jing,etc.Inference of person-to-person transmission of COVID-19 reveals hidden super-spreading events during the early outbreak phase[J].2020,11(1).
[12]Li Yong,Wang Lian-Wen,Peng Zhi-Hang,etc.Basic reproduction number and predicted trends of coronavirus disease 2019 epidemic in the mainland of China[J].2020,9(1).
[13]Jacob,Burns,Ani,Movsisyan,Jan M,Stratil,etc.Travel-related control measures to contain the COVID-19 pandemic: a rapid review.[J].2020,10.
[14]Davies Nicholas G.,Klepac Petra,Liu Yang,etc.Age-dependent effects in the transmission and control of COVID-19 epidemics[J].2020,26(8).
[15]Biao,Tang,Xia,Wang,Qian,Li,etc.Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions.[J].2020,9(2).
[16]唐三一,唐彪,Nicola Luigi Bragazzi,等.新型冠状病毒肺炎疫情数据挖掘与离散随机传播动力学模型分析[J].2020,(8).
[17]Ying,Liu,Albert A,Gayle,Annelies,Wilder-Smith,etc.The reproductive number of COVID-19 is higher compared to SARS coronavirus.[J].2020,27(2).
[18]Siettos,C.I.,Russo,L..Mathematical modeling of infectious disease dynamics[J].2013,4(4).
[19].Predictive Mathematical Models of the COVID-19 Pandemic Underlying Principles and Value of Projections[J].2020,323(19).
[20]Subramanian, Vigneshwar,Kattan, Michael W..Why Is Modeling Coronavirus Disease 2019 So Difficult?[J].2020,158(5).
[21]Ruiyun,Li,Sen,Pei,Bin,Chen,etc.Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2).[J].2020,368(6490).
[22]Saha Sangeeta,Samanta G. P.,Nieto Juan J..Epidemic model of COVID-19 outbreak by inducing behavioural response in population[J].2020,102(1).
[23].Modelling the pandemic[J].2020,369(apr21_9).
[24]Kim Soyoung,Choi Sunhwa,Ko Youngsuk,etc.Risk estimation of the SARS-CoV-2 acute respiratory disease outbreak outside China[J].2020,17(1).
[25]Luca,Ferretti,Chris,Wymant,Michelle,Kendall,etc.Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.[J].2020,368(6491).
[26]Guo Xiao-Jing,Zhang Hui,Zeng Yi-Ping.Transmissibility of COVID-19 in 11 major cities in China and its association with temperature and humidity in Beijing, Shanghai, Guangzhou, and Chengdu[J].2020,9(1).
[27]Zu Jian,Li Miao-Lei,Li Zong-Fang,etc.Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data- and model-driven study[J].2020,9(1).
[28]Steffen E,Eikenberry,Marina,Mancuso,Enahoro,Iboi,etc.To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic.[J].2020,5.
[29]Contreras Sebastian,Dehning Jonas,Loidolt Matthias,etc.The challenges of containing SARS-CoV-2 via test-trace-and-isolate[J].2021,12(1).
[30]Diego F, Cuadros,Benn, Sartorius,Chris, Hall,etc.Capturing the spatial variability of HIV epidemics in South Africa and Tanzania using routine healthcare facility data.[J].2018,17(1).
[31]Lloyd-Smith J. O.,Schreiber S. J.,Kopp P. E.,etc.Superspreading and the effect of individual variation on disease emergence[J].2005,438(7066).
[32].A Contribution to the Mathematical Theory of Epidemics[J].1927,115(772).
[33]Grauer Jens,Löwen Hartmut,Liebchen Benno.Strategic spatiotemporal vaccine distribution increases the survival rate in an infectious disease like Covid-19[J].2020,10(1).
[34]Peirlinck, Mathias,Linka, Kevin,Costabal, Francisco Sahli,etc.Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19[J].2020,372(Dec.1 Pt.2).
[35]W H, Frost.Some conceptions of epidemics in general by Wade Hampton Frost.[J].1976,103(2).
[36]Bartsch, Sarah M.,Asti, Lindsey,Cox, Sarah N.,etc.What Is the Value of Different Zika Vaccination Strategies to Prevent and Mitigate Zika Outbreaks?[J].2019,220(6).
[37].Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis[J].2020,395(10242).
[38]Ferguson, Neil M.,Rodriguez-Barraquer, Isabel,Dorigatti, Ilaria,etc.Benefits and risks of the Sanofi-Pasteur dengue vaccine: Modeling optimal deployment[J].2016,353(Sep.2 TN.6303).
[39]Stefano, Merler,Marco, Ajelli,Laura, Fumanelli,etc.Containing Ebola at the Source with Ring Vaccination.[J].2016,(11).
[40]Steven,Sanche,Yen Ting,Lin,Chonggang,Xu,etc.High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2.[J].2020,26(7).
[41]Wan Hui,Cui Jing-An,Yang Guo-Jing.Risk estimation and prediction of the transmission of coronavirus disease-2019 (COVID-19) in the mainland of China excluding Hubei province[J].2020,9(1).