Fig. 2: Example of the agent-based network model used to generate SARS-CoV-2 transmission dynamics. | Nature Communications

Fig. 2: Example of the agent-based network model used to generate SARS-CoV-2 transmission dynamics.

From: Impact of unequal testing on vaccine effectiveness estimates across two study designs: a simulation study

Fig. 2

Nodes represent individuals, either vaccinated (blue) or unvaccinated (pink); edges represent contacts through which respiratory transmission can occur. Each node has individual-level attributes, including SARS-CoV-2 infection status (Susceptible [never infected], Exposed, Infectious, Recovered [previously infected]); vaccination status (vaccinated, unvaccinated); level of healthcare engagement (low, high); testing status (untested, tested positive for SARS-CoV-2, tested negative for SARS-CoV-2); symptom status (symptomatic, asymptomatic/no symptoms); and status with respect to alternate etiologies of COVID-like symptoms (exposed or unexposed).

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