Journal article 1516 views
A two-stage model for the SIR outbreak: Accounting for the discrete and stochastic nature of the epidemic at the initial contamination stage
Mathematical Biosciences, Volume: 234, Issue: 2, Pages: 108 - 117
Swansea University Authors:
Igor Sazonov, Mark Kelbert, Michael Gravenor
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1016/j.mbs.2011.09.002
Abstract
A two-stage model for the SIR outbreak: Accounting for the discrete and stochastic nature of the epidemic at the initial contamination stage
| Published in: | Mathematical Biosciences |
|---|---|
| ISSN: | 0025-5564 |
| Published: |
2011
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa7975 |
| first_indexed |
2013-07-23T11:59:56Z |
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| last_indexed |
2018-02-09T04:36:43Z |
| id |
cronfa7975 |
| recordtype |
SURis |
| fullrecord |
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| spelling |
2011-10-01T00:00:00.0000000 v2 7975 2012-02-22 A two-stage model for the SIR outbreak: Accounting for the discrete and stochastic nature of the epidemic at the initial contamination stage 05a507952e26462561085fb6f62c8897 Igor Sazonov Igor Sazonov true false 3a81821a33f0e13488bd6a81cdc30f9d Mark Kelbert Mark Kelbert true false 70a544476ce62ba78502ce463c2500d6 0000-0003-0710-0947 Michael Gravenor Michael Gravenor true false 2012-02-22 Journal Article Mathematical Biosciences 234 2 108 117 0025-5564 31 12 2011 2011-12-31 10.1016/j.mbs.2011.09.002 COLLEGE NANME COLLEGE CODE Swansea University 2011-10-01T00:00:00.0000000 2012-02-22T13:37:03.0000000 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Igor Sazonov 1 Mark Kelbert 2 Michael Gravenor 0000-0003-0710-0947 3 |
| title |
A two-stage model for the SIR outbreak: Accounting for the discrete and stochastic nature of the epidemic at the initial contamination stage |
| spellingShingle |
A two-stage model for the SIR outbreak: Accounting for the discrete and stochastic nature of the epidemic at the initial contamination stage Igor Sazonov Mark Kelbert Michael Gravenor |
| title_short |
A two-stage model for the SIR outbreak: Accounting for the discrete and stochastic nature of the epidemic at the initial contamination stage |
| title_full |
A two-stage model for the SIR outbreak: Accounting for the discrete and stochastic nature of the epidemic at the initial contamination stage |
| title_fullStr |
A two-stage model for the SIR outbreak: Accounting for the discrete and stochastic nature of the epidemic at the initial contamination stage |
| title_full_unstemmed |
A two-stage model for the SIR outbreak: Accounting for the discrete and stochastic nature of the epidemic at the initial contamination stage |
| title_sort |
A two-stage model for the SIR outbreak: Accounting for the discrete and stochastic nature of the epidemic at the initial contamination stage |
| author_id_str_mv |
05a507952e26462561085fb6f62c8897 3a81821a33f0e13488bd6a81cdc30f9d 70a544476ce62ba78502ce463c2500d6 |
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05a507952e26462561085fb6f62c8897_***_Igor Sazonov 3a81821a33f0e13488bd6a81cdc30f9d_***_Mark Kelbert 70a544476ce62ba78502ce463c2500d6_***_Michael Gravenor |
| author |
Igor Sazonov Mark Kelbert Michael Gravenor |
| author2 |
Igor Sazonov Mark Kelbert Michael Gravenor |
| format |
Journal article |
| container_title |
Mathematical Biosciences |
| container_volume |
234 |
| container_issue |
2 |
| container_start_page |
108 |
| publishDate |
2011 |
| institution |
Swansea University |
| issn |
0025-5564 |
| doi_str_mv |
10.1016/j.mbs.2011.09.002 |
| college_str |
Faculty of Science and Engineering |
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|
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facultyofscienceandengineering |
| hierarchy_top_title |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
| hierarchy_parent_title |
Faculty of Science and Engineering |
| department_str |
School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics |
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0 |
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| published_date |
2011-12-31T03:15:43Z |
| _version_ |
1851089531007139840 |
| score |
11.089572 |

