Name
Abstract | ||
|---|---|---|
Abstract A critical investigation into computational models developed for studying the spread of communicable disease is presented. The case in point is a spatially explicit micro–meso–macro model for the entire Swedish population built on registry data, thus far used for smallpox and for influenza-like illnesses. The lessons learned from a software development project of more than 100 person months are collected into a check list. The list is intended for use by computational epidemiologists and policy makers, and the workflow incorporating these two roles is described in detail. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.jocs.2011.05.004 | Journal of Computational Science |
Keywords | Field | DocType |
Policy making,Computational epidemiology,Workflow,Individual-based simulation | Data science,Population,Computational epidemiology,Workflow technology,Check List,Computer science,Computational model,Workflow,Software development | Journal |
Volume | Issue | ISSN |
2 | 3 | 1877-7503 |
Citations | PageRank | References |
4 | 0.47 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baki Cakici | 1 | 10 | 2.77 |
| Magnus Boman | 2 | 227 | 49.08 |