2019
DOI: 10.1371/journal.pone.0221564
|View full text |Cite
|
Sign up to set email alerts
|

Why should we apply ABM for decision analysis for infectious diseases?—An example for dengue interventions

Abstract: For the evaluation of infectious-diseases interventions, the transmissible nature of such diseases plays a central role. Agent-based models (ABM) allow for dynamic transmission modeling but publications are limited. We aim to provide an overview of important characteristics of ABM for decision-analytic modeling of infectious diseases. A case study of dengue epidemics illustrates model characteristics, conceptualization, calibration and model analysis. First, major characteristics of ABM are outlined and discus… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
16
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1
1
1

Relationship

1
9

Authors

Journals

citations
Cited by 22 publications
(16 citation statements)
references
References 55 publications
0
16
0
Order By: Relevance
“…Based on early works on agent-based modelling [ 3 ], we described the importance of the detection of temporal and spatial evolution of epidemics. The effectiveness of the method for decision support was described in [ 4 ]. In January 2020 our group developed an agent-based COVID-19 epidemic model [ 5 , 6 ], which is still in heavy use for counseling of political decision makers in Austria [ 7 ].…”
Section: Methodsmentioning
confidence: 99%
“…Based on early works on agent-based modelling [ 3 ], we described the importance of the detection of temporal and spatial evolution of epidemics. The effectiveness of the method for decision support was described in [ 4 ]. In January 2020 our group developed an agent-based COVID-19 epidemic model [ 5 , 6 ], which is still in heavy use for counseling of political decision makers in Austria [ 7 ].…”
Section: Methodsmentioning
confidence: 99%
“…Based on early works on agent-based modelling [3], we described the importance of the detection of temporal and spatial evolution of epidemics. The effectiveness of the method for decision support was described in [4]. In January 2020 our group developed an agent-based COVID-19 epidemic model [5,6], which is still in heavy use for counseling of political decision makers in Austria [7].…”
Section: Methodsmentioning
confidence: 99%
“…17 Ergo, indirect effects of herd effects as well the complexity of dynamic human behavior (interactions within-and betweenhosts) were included. [18][19][20] Given the major distinction between QIV and TIV concerning influenza B, the model explicitly distinguished between influenza A and both types of influenza B (Victoria and Yamagata). The dynamic transmission model, including model inputs (eg, influenza incidence, vaccine efficacy, and coverage), are described in the Supplemental Materials found at https://doi.org/10.1016/j.jval.2020.11.002.…”
Section: Dynamic Transmission Modelmentioning
confidence: 99%