Effects of pathogen dependency in a multi-pathogen infectious disease system including population level heterogeneity - a simulation study.

Bakuli, Abhishek; Klawonn, Frank; Karch, André; Mikolajczyk, Rafael T

dc.contributor.author	Bakuli, Abhishek
dc.contributor.author	Klawonn, Frank
dc.contributor.author	Karch, André
dc.contributor.author	Mikolajczyk, Rafael T
dc.date.accessioned	2018-01-24T15:11:28Z
dc.date.available	2018-01-24T15:11:28Z
dc.date.issued	2017-12-13
dc.identifier.citation	Effects of pathogen dependency in a multi-pathogen infectious disease system including population level heterogeneity - a simulation study. 2017, 14 (1):26 Theor Biol Med Model	en
dc.identifier.issn	1742-4682
dc.identifier.pmid	29237462
dc.identifier.doi	10.1186/s12976-017-0072-7
dc.identifier.uri	http://hdl.handle.net/10033/621255
dc.description.abstract	Increased computational resources have made individual based models popular for modelling epidemics. They have the advantage of incorporating heterogeneous features, including realistic population structures (like e.g. households). Existing stochastic simulation studies of epidemics, however, have been developed mainly for incorporating single pathogen scenarios although the effect of different pathogens might directly or indirectly (e.g. via contact reductions) effect the spread of each pathogen. The goal of this work was to simulate a stochastic agent based system incorporating the effect of multiple pathogens, accounting for the household based transmission process and the dependency among pathogens.
dc.language.iso	en	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	*
dc.title	Effects of pathogen dependency in a multi-pathogen infectious disease system including population level heterogeneity - a simulation study.	en
dc.type	Article	en
dc.contributor.department	Helmholtz-Zentrum für Infektionsforschung, GmbH, Inhoffenstr. 7, 38124 Braunschweig, Germany.	en
dc.identifier.journal	Theoretical biology & medical modelling	en
refterms.dateFOA	2018-06-13T03:56:18Z
html.description.abstract	Increased computational resources have made individual based models popular for modelling epidemics. They have the advantage of incorporating heterogeneous features, including realistic population structures (like e.g. households). Existing stochastic simulation studies of epidemics, however, have been developed mainly for incorporating single pathogen scenarios although the effect of different pathogens might directly or indirectly (e.g. via contact reductions) effect the spread of each pathogen. The goal of this work was to simulate a stochastic agent based system incorporating the effect of multiple pathogens, accounting for the household based transmission process and the dependency among pathogens.