Network Based Models of Infectious Disease Spread
Overview
Authors
Affiliations
It has recently become possible to simulate directly dynamics on very large networks. This paper describes a model of epidemiology on a social network, the Epidemiological Simulation System (EpiSims), and offers general speculation on analyzing disease dynamics on networks. We describe the process of building a realistic social network, describe several different definitions of the network, each useful for certain purposes. Finally, we raise some important questions about structural properties of networks and how they influence dynamics.
Spatial-temporal transmission of influenza and its health risks in an urbanized area.
Mao L, Bian L Comput Environ Urban Syst. 2020; 34(3):204-215.
PMID: 32287709 PMC: 7124201. DOI: 10.1016/j.compenvurbsys.2010.03.004.
Holodinsky J, Francis M, Goyal M, Hill M, Kamal N Front Neurol. 2019; 10:694.
PMID: 31316459 PMC: 6610475. DOI: 10.3389/fneur.2019.00694.
Optimization and Control of Agent-Based Models in Biology: A Perspective.
An G, Fitzpatrick B, Christley S, Federico P, Kanarek A, Neilan R Bull Math Biol. 2016; 79(1):63-87.
PMID: 27826879 PMC: 5209420. DOI: 10.1007/s11538-016-0225-6.
Temporal correlation coefficient for directed networks.
Buttner K, Salau J, Krieter J Springerplus. 2016; 5(1):1198.
PMID: 27516936 PMC: 4963342. DOI: 10.1186/s40064-016-2875-0.
Kisjes K, Tebbens R, Wallace G, Pallansch M, Cochi S, Wassilak S J Infect Dis. 2014; 210 Suppl 1:S424-33.
PMID: 25316864 PMC: 7944487. DOI: 10.1093/infdis/jit843.