RETRACTED: Rationale and Criteria for a COVID-19 Model Framework (Retracted article. See vol. 13, 2021)

被引:2
作者
Messina, Francesco [1 ]
Montaldo, Chiara [1 ]
Abbate, Isabella [1 ]
Antonioli, Manuela [1 ]
Bordoni, Veronica [1 ]
Matusali, Giulia [1 ]
Sacchi, Alessandra [1 ]
Giombini, Emanuela [1 ]
Fimia, Gian Maria [1 ,2 ]
Piacentini, Mauro [1 ,3 ]
Capobianchi, Maria Rosaria [1 ]
Lauria, Francesco Nicola [1 ]
Ippolito, Giuseppe [1 ]
机构
[1] Lazzaro Spallanzani IRCCS, Natl Inst Infect Dis, Via Portuense 292, I-00149 Rome, Italy
[2] Sapienza Univ Rome, Dept Mol Med, I-00185 Rome, Italy
[3] Univ Roma Tor Vergata, Dept Biol, Via Ric Sci 1, I-00133 Rome, Italy
来源
VIRUSES-BASEL | 2021年 / 13卷 / 07期
基金
欧盟地平线“2020”;
关键词
disease model; infectious disease systems; COVID-19; SARS-CoV-2; infections; TRANSMISSION; DYNAMICS;
D O I
10.3390/v13071309
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Complex systems are inherently multilevel and multiscale systems. The infectious disease system is considered a complex system resulting from the interaction between three sub-systems (host, pathogen, and environment) organized into a hierarchical structure, ranging from the cellular to the macro-ecosystem level, with multiscales. Therefore, to describe infectious disease phenomena that change through time and space and at different scales, we built a model framework where infectious disease must be considered the set of biological responses of human hosts to pathogens, with biological pathways shared with other pathologies in an ecological interaction context. In this paper, we aimed to design a framework for building a disease model for COVID-19 based on current literature evidence. The model was set up by identifying the molecular pathophysiology related to the COVID-19 phenotypes, collecting the mechanistic knowledge scattered across scientific literature and bioinformatic databases, and integrating it using a logical/conceptual model systems biology. The model framework building process began from the results of a domain-based literature review regarding a multiomics approach to COVID-19. This evidence allowed us to define a framework of COVID-19 conceptual model and to report all concepts in a multilevel and multiscale structure. The same interdisciplinary working groups that carried out the scoping review were involved. The conclusive result is a conceptual method to design multiscale models of infectious diseases. The methodology, applied in this paper, is a set of partially ordered research and development activities that result in a COVID-19 multiscale model.
引用
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页数:17
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