-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathCITATION.cff
More file actions
103 lines (103 loc) · 3.08 KB
/
CITATION.cff
File metadata and controls
103 lines (103 loc) · 3.08 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
cff-version: 1.2.0
title: >-
CASMIM: Cellular Automata with Social Mirror Identities
Model for SARS Epidemic Simulation
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Chung-Yuan
family-names: Huang
orcid: "https://orcid.org/0000-0002-8680-6755"
affiliation: >-
Department of Computer Science and Information
Engineering, Chang Gung University, Taiwan
email: gscott@mail.cgu.edu.tw
- given-names: Chuen-Tsai
family-names: Sun
affiliation: >-
Department of Computer Science, National Yang Ming
Chiao Tung University, Taiwan
- given-names: Ji-Lung
family-names: Hsieh
affiliation: >-
Graduate Institute of Journalism, National Taiwan
University, Taiwan
- given-names: Yi-Ming Arthur
family-names: Chen
affiliation: >-
Department of Information Management, National
Central University, Taiwan
- given-names: Holin
family-names: Lin
affiliation: >-
Department of Sociology, National Taiwan University,
Taiwan
repository-code: 'https://github.com/canslab1/CASMIM'
url: 'https://github.com/canslab1/CASMIM'
abstract: >-
A small-world epidemiological simulation model that
combines cellular automata on a 2D torus lattice with
social mirror identities to simulate SARS transmission
dynamics and evaluate eight public health policy
interventions. The model uses an SEIR+D compartmental
framework with contact tracing, super-spreader modeling,
and age-stratified mortality. Originally developed in
Borland C++ Builder (2003-2005), now ported to Python 3
with a PySide6 (Qt) GUI.
keywords:
- SARS
- epidemic simulation
- cellular automata
- social mirror identity
- small-world network
- public health policy
- SEIR model
- agent-based modeling
- computational epidemiology
license: MIT
version: 2.1.0
date-released: '2026-03-11'
preferred-citation:
type: article
authors:
- given-names: Chung-Yuan
family-names: Huang
- given-names: Chuen-Tsai
family-names: Sun
- given-names: Ji-Lung
family-names: Hsieh
- given-names: Yi-Ming Arthur
family-names: Chen
- given-names: Holin
family-names: Lin
title: >-
A Novel Small-World Model: Using Social Mirror
Identities for Epidemic Simulations
journal: SIMULATION
volume: 81
issue: 10
start: 671
end: 699
year: 2005
doi: 10.1177/0037549705061519
references:
- type: article
title: >-
Simulating SARS: Small-World Epidemiological Modeling
and Public Health Policy Assessments
authors:
- family-names: Huang
given-names: Chung-Yuan
- family-names: Sun
given-names: Chuen-Tsai
- family-names: Hsieh
given-names: Ji-Lung
- family-names: Lin
given-names: Holin
journal: Journal of Artificial Societies and Social Simulation
volume: 7
issue: 4
year: 2004
url: 'http://jasss.soc.surrey.ac.uk/7/4/2.html'