In silico disease modeling for COVID-19

ABSTRACT

Coronavirus disease 2019 has resulted in a global pandemic with ∼ 3.8 million deaths, resulting in one of the most deadly pandemics in human history. The high mortality rate of the severe acute respiratory syndromes caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the lack of effective therapeutic regimens necessitate the generation of knowledge for the biology of the infection, the pathophysiology of the respiratory disease, and effective preventive and therapeutic approaches. In silico modeling is a promising approach for the rapid and cost-effective progress of research, especially in the context of the especially demanding situation and the restrictions caused by the pandemic. This chapter reviews the in silico modeling approaches that have been applied in the field of SARS-CoV-2 research focusing on the design of these models, on the clinical implications of the data derived, and on the limitations of these models. © 2023 Elsevier Inc. All rights reserved.