Network-based analysis of a small Ebola outbreak
We present a method for estimating epidemic parameters in network-based stochastic epidemic models when the total number of infections is assumed to be small. We illustrate the method by reanalyzing the data from the 2014 Democratic Republic of the Congo (DRC) Ebola outbreak described in Maganga et...
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| Format: | Article |
| Language: | English |
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AIMS Press
2017-01-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2017005 |
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| _version_ | 1832590080438435840 |
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| author | Mark G. Burch Karly A. Jacobsen Joseph H. Tien Grzegorz A. Rempała |
| author_facet | Mark G. Burch Karly A. Jacobsen Joseph H. Tien Grzegorz A. Rempała |
| author_sort | Mark G. Burch |
| collection | DOAJ |
| description | We present a method for estimating epidemic parameters in network-based stochastic epidemic models when the total number of infections is assumed to be small. We illustrate the method by reanalyzing the data from the 2014 Democratic Republic of the Congo (DRC) Ebola outbreak described in Maganga et al. (2014). |
| format | Article |
| id | doaj-art-ced765f7e3c842a5a1a5b533b17d332e |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-ced765f7e3c842a5a1a5b533b17d332e2025-01-24T02:39:31ZengAIMS PressMathematical Biosciences and Engineering1551-00182017-01-01141677710.3934/mbe.2017005Network-based analysis of a small Ebola outbreakMark G. Burch0Karly A. Jacobsen1Joseph H. Tien2Grzegorz A. Rempała3College of Public Health, The Ohio State University, Columbus, OH 43210, USAMathematical Biosciences Institute, The Ohio State University, Columbus, OH 43210, USADepartment of Mathematics and Mathematical Biosciences Institute, The Ohio State University, Columbus, OH 43210, USACollege of Public Health and Mathematical Biosciences Institute, The Ohio State University, Columbus, OH 43210, USAWe present a method for estimating epidemic parameters in network-based stochastic epidemic models when the total number of infections is assumed to be small. We illustrate the method by reanalyzing the data from the 2014 Democratic Republic of the Congo (DRC) Ebola outbreak described in Maganga et al. (2014).https://www.aimspress.com/article/doi/10.3934/mbe.2017005ebolanetwork epidemic modelsconfiguration modelbranching processstatistical inference |
| spellingShingle | Mark G. Burch Karly A. Jacobsen Joseph H. Tien Grzegorz A. Rempała Network-based analysis of a small Ebola outbreak Mathematical Biosciences and Engineering ebola network epidemic models configuration model branching process statistical inference |
| title | Network-based analysis of a small Ebola outbreak |
| title_full | Network-based analysis of a small Ebola outbreak |
| title_fullStr | Network-based analysis of a small Ebola outbreak |
| title_full_unstemmed | Network-based analysis of a small Ebola outbreak |
| title_short | Network-based analysis of a small Ebola outbreak |
| title_sort | network based analysis of a small ebola outbreak |
| topic | ebola network epidemic models configuration model branching process statistical inference |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2017005 |
| work_keys_str_mv | AT markgburch networkbasedanalysisofasmallebolaoutbreak AT karlyajacobsen networkbasedanalysisofasmallebolaoutbreak AT josephhtien networkbasedanalysisofasmallebolaoutbreak AT grzegorzarempała networkbasedanalysisofasmallebolaoutbreak |