Networks and the Epidemiology of Infectious Disease
The science of networks has revolutionised research into the dynamics of interacting elements. It could be argued that epidemiology in particular has embraced the potential of network theory more than any other discipline. Here we review the growing body of research concerning the spread of infectio...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2011-01-01
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| Series: | Interdisciplinary Perspectives on Infectious Diseases |
| Online Access: | http://dx.doi.org/10.1155/2011/284909 |
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| _version_ | 1832563790415134720 |
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| author | Leon Danon Ashley P. Ford Thomas House Chris P. Jewell Matt J. Keeling Gareth O. Roberts Joshua V. Ross Matthew C. Vernon |
| author_facet | Leon Danon Ashley P. Ford Thomas House Chris P. Jewell Matt J. Keeling Gareth O. Roberts Joshua V. Ross Matthew C. Vernon |
| author_sort | Leon Danon |
| collection | DOAJ |
| description | The science of networks has revolutionised research into the dynamics of interacting elements. It could be argued that epidemiology in particular has embraced the potential of network theory more than any other discipline. Here we review the growing body of research concerning the spread of infectious diseases on networks, focusing on the interplay between network theory and epidemiology. The review is split into four main sections, which examine: the types of network relevant to epidemiology; the multitude of ways these networks can be characterised; the statistical methods that can be applied to infer the epidemiological parameters on a realised network; and finally simulation and analytical methods to determine epidemic dynamics on a given network. Given the breadth of areas covered and the ever-expanding number of publications, a comprehensive review of all work is impossible. Instead, we provide a personalised overview into the areas of network epidemiology that have seen the greatest progress in recent years or have the greatest potential to provide novel insights. As such, considerable importance is placed on analytical approaches and statistical methods which are both rapidly expanding fields. Throughout this review we restrict our attention to epidemiological issues. |
| format | Article |
| id | doaj-art-8ac8515cc4544806802319569593940b |
| institution | Kabale University |
| issn | 1687-708X 1687-7098 |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Interdisciplinary Perspectives on Infectious Diseases |
| spelling | doaj-art-8ac8515cc4544806802319569593940b2025-02-03T01:12:36ZengWileyInterdisciplinary Perspectives on Infectious Diseases1687-708X1687-70982011-01-01201110.1155/2011/284909284909Networks and the Epidemiology of Infectious DiseaseLeon Danon0Ashley P. Ford1Thomas House2Chris P. Jewell3Matt J. Keeling4Gareth O. Roberts5Joshua V. Ross6Matthew C. Vernon7School of Life Sciences, University of Warwick, Coventry CV4 7AL, UKDepartment of Statistics, University of Warwick, Coventry CV4 7AL, UKWarwick Mathematics Institute, University of Warwick, Coventry CV4 7AL, UKDepartment of Statistics, University of Warwick, Coventry CV4 7AL, UKSchool of Life Sciences, University of Warwick, Coventry CV4 7AL, UKDepartment of Statistics, University of Warwick, Coventry CV4 7AL, UKSchool of Mathematical Sciences, University of Adelaide, SA 5005, AustraliaSchool of Life Sciences, University of Warwick, Coventry CV4 7AL, UKThe science of networks has revolutionised research into the dynamics of interacting elements. It could be argued that epidemiology in particular has embraced the potential of network theory more than any other discipline. Here we review the growing body of research concerning the spread of infectious diseases on networks, focusing on the interplay between network theory and epidemiology. The review is split into four main sections, which examine: the types of network relevant to epidemiology; the multitude of ways these networks can be characterised; the statistical methods that can be applied to infer the epidemiological parameters on a realised network; and finally simulation and analytical methods to determine epidemic dynamics on a given network. Given the breadth of areas covered and the ever-expanding number of publications, a comprehensive review of all work is impossible. Instead, we provide a personalised overview into the areas of network epidemiology that have seen the greatest progress in recent years or have the greatest potential to provide novel insights. As such, considerable importance is placed on analytical approaches and statistical methods which are both rapidly expanding fields. Throughout this review we restrict our attention to epidemiological issues.http://dx.doi.org/10.1155/2011/284909 |
| spellingShingle | Leon Danon Ashley P. Ford Thomas House Chris P. Jewell Matt J. Keeling Gareth O. Roberts Joshua V. Ross Matthew C. Vernon Networks and the Epidemiology of Infectious Disease Interdisciplinary Perspectives on Infectious Diseases |
| title | Networks and the Epidemiology of Infectious Disease |
| title_full | Networks and the Epidemiology of Infectious Disease |
| title_fullStr | Networks and the Epidemiology of Infectious Disease |
| title_full_unstemmed | Networks and the Epidemiology of Infectious Disease |
| title_short | Networks and the Epidemiology of Infectious Disease |
| title_sort | networks and the epidemiology of infectious disease |
| url | http://dx.doi.org/10.1155/2011/284909 |
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