Scope

This page outlines the parts of the journal article (Anagnostou et al. (2022)) which we will attempt to reproduce.

As the copyright of the article belongs to the journal (without permissions to freely share images from the article), I have simply provided quotations from the figure captions below. You will need to navigate to the original paper to view the items.

Within scope

Figure 3

Figure 3. “CHARM example output. Graphs a, b and c show the mean value of elective beds capacity and availability (a) and 95% confidence intervals (b) and (c), respectively. Graphs d, e and f show the mean value of COVID-19 beds capacity and availability (d) and 95% confidence intervals (e) and (f), respectively.” Anagnostou et al. (2022)

Outside scope

Figure 1

Output from FACS (agent-based simulation).

Figure 1. “FACS example output daily cases (a) and daily hospitalizations (b)”. Anagnostou et al. (2022)

Figure 2

Figure 2. “CHARM patient flow diagram”. Anagnostou et al. (2022)

Table 1

Table 1. “CHARM example input parameters”. Anagnostou et al. (2022)

Figure 4

Figure 4. “Hybrid FACS-CHARM data exchange”. Anagnostou et al. (2022)

Figure 5

Figure 5. “CHARM (a) and FACS (b) dashboards”. Anagnostou et al. (2022)

References

Anagnostou, Anastasia, Derek Groen, Simon J. E. Taylor, Diana Suleimenova, Nura Abubakar, Arindam Saha, Kate Mintram, et al. 2022. “FACS-CHARM: A Hybrid Agent-Based and Discrete-Event Simulation Approach for Covid-19 Management at Regional Level.” In 2022 Winter Simulation Conference (WSC), 1223–34. https://doi.org/10.1109/WSC57314.2022.10015462.