Name
Abstract | ||
|---|---|---|
Modelling has been used extensively by all national governments and the World Health Organisation in deciding on the best strategies to pursue in mitigating the effects of COVID-19. Principally these have been epidemiological models aimed at understanding the spread of the disease and the impacts of different interventions. But a global pandemic generates a large number of problems and questions, not just those related to disease transmission, and each requires a different model to find the best solution. In this article we identify challenges resulting from the COVID-19 pandemic and discuss how simulation modelling could help to support decision-makers in making the most informed decisions. Modellers should see the article as a call to arms and decision-makers as a guide to what support is available from the simulation community. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1080/17477778.2020.1751570 | JOURNAL OF SIMULATION |
Keywords | DocType | Volume |
Simulation modelling,pandemic,COVID-19,coronavirus | Journal | 14.0 |
Issue | ISSN | Citations |
SP2.0 | 1747-7778 | 2 |
PageRank | References | Authors |
0.37 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christine S. M. Currie | 1 | 72 | 16.31 |
| John W. Fowler | 2 | 2 | 0.37 |
| Kathy Kotiadis | 3 | 2 | 0.37 |
| Thomas Monks | 4 | 31 | 6.41 |
| B S S Onggo | 5 | 82 | 14.17 |
| Duncan A. Robertson | 6 | 2 | 0.37 |
| Antuela A. Tako | 7 | 182 | 15.35 |