Data-driven multi-scale mathematical modeling of SARS-CoV-2 infection reveals heterogeneity among COVID-19 patients
Fig 4
Disease evolution dynamics from asymptomatic and symptomatic states in response to SARS-CoV-2 infection without considering T cell exhaustion (ρ = 0).
a. The percentage of cases (out of 200 independent runs) that developed into a state and the distribution of incubation period (TIP) for various IC50 values of viral replication (K1) and IFN response rate (λ2) after infection. b. The distribution of symptomatic frequency. The color column indicates the percentage of symptomatic cases (out of 100 individual runs) when K1 varies 40–50 and λ2 varies 0.2–0.4. c. The distribution (fraction of individual) of RIC at six different time points. The black dashed lines show the threshold separating asymptomatic and symptomatic states. Different color lines correspond to the IC50 of viral replication (K1) and interferon response rate (λ2). Other parameters were given default values as shown in Table A in S1 Text.