# CoV-ABM: A stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of COVID-19

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cov-abm-a-stochastic-discrete-event-agent-based-framework-to-simulate/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Masoud Jalayer,Carlotta Orsenigo,Carlo Vercellis |
| Citations | 12 |
| DOI | 10.48550/arxiv.2007.13231 |
| Fields | Economics, Econometrics and Finance,Mathematics,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2007.13231 |
| OpenAlex ID | https://openalex.org/W3043969422 |
| Type | preprint |
| Year | 2020 |

## Paper authors

- [Masoud Jalayer](https://scholariq.org/researchers/masoud-jalayer/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)

## Paper topics

- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)
- [Data-Driven Disease Surveillance](https://scholariq.org/topics/data-driven-disease-surveillance/)
- [COVID-19 Pandemic Impacts](https://scholariq.org/topics/covid-19-pandemic-impacts/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.