Literature DB >> 17255000

An event-based model of superspreading in epidemics.

Alex James1, Jonathan W Pitchford, Michael J Plank.   

Abstract

Many recent disease outbreaks (e.g. SARS, foot-and-mouth disease) exhibit superspreading, where relatively few individuals cause a large number of secondary cases. Epidemic models have previously treated this as a demographic phenomenon where each individual has an infectivity allocated at random from some distribution. Here, it is shown that superspreading can also be regarded as being caused by environmental variability, where superspreading events (SSEs) occur as a stochastic consequence of the complex network of interactions made by individuals. This interpretation based on SSEs is compared with data and its efficacy in evaluating epidemic control strategies is discussed.

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Year:  2007        PMID: 17255000      PMCID: PMC2197209          DOI: 10.1098/rspb.2006.0219

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  12 in total

1.  Dynamics of the 2001 UK foot and mouth epidemic: stochastic dispersal in a heterogeneous landscape.

Authors:  M J Keeling; M E Woolhouse; D J Shaw; L Matthews; M Chase-Topping; D T Haydon; S J Cornell; J Kappey; J Wilesmith; B T Grenfell
Journal:  Science       Date:  2001-10-03       Impact factor: 47.728

2.  Epidemiological implications of the contact network structure for cattle farms and the 20-80 rule.

Authors:  M E J Woolhouse; D J Shaw; L Matthews; W-C Liu; D J Mellor; M R Thomas
Journal:  Biol Lett       Date:  2005-09-22       Impact factor: 3.703

3.  Measles outbreak in a vaccinated school population: epidemiology, chains of transmission and the role of vaccine failures.

Authors:  B M Nkowane; S W Bart; W A Orenstein; M Baltier
Journal:  Am J Public Health       Date:  1987-04       Impact factor: 9.308

4.  An unusual hantavirus outbreak in southern Argentina: person-to-person transmission? Hantavirus Pulmonary Syndrome Study Group for Patagonia.

Authors:  R M Wells; S Sosa Estani; Z E Yadon; D Enria; P Padula; N Pini; J N Mills; C J Peters; E L Segura
Journal:  Emerg Infect Dis       Date:  1997 Apr-Jun       Impact factor: 6.883

5.  Epidemiology: dimensions of superspreading.

Authors:  Alison P Galvani; Robert M May
Journal:  Nature       Date:  2005-11-17       Impact factor: 49.962

6.  Superspreading and the effect of individual variation on disease emergence.

Authors:  J O Lloyd-Smith; S J Schreiber; P E Kopp; W M Getz
Journal:  Nature       Date:  2005-11-17       Impact factor: 49.962

Review 7.  New approaches to quantifying the spread of infection.

Authors:  Louise Matthews; Mark Woolhouse
Journal:  Nat Rev Microbiol       Date:  2005-07       Impact factor: 60.633

8.  Superspreading SARS events, Beijing, 2003.

Authors:  Zhuang Shen; Fang Ning; Weigong Zhou; Xiong He; Changying Lin; Daniel P Chin; Zonghan Zhu; Anne Schuchat
Journal:  Emerg Infect Dis       Date:  2004-02       Impact factor: 6.883

9.  Ebola hemorrhagic fever transmission and risk factors of contacts, Uganda.

Authors:  Paolo Francesconi; Zabulon Yoti; Silvia Declich; Paul Awil Onek; Massimo Fabiani; Joseph Olango; Roberta Andraghetti; Pierre E Rollin; Cyprian Opira; Donato Greco; Stefania Salmaso
Journal:  Emerg Infect Dis       Date:  2003-11       Impact factor: 6.883

10.  Epidemiologic determinants for modeling pneumonic plague outbreaks.

Authors:  Raymond Gani; Steve Leach
Journal:  Emerg Infect Dis       Date:  2004-04       Impact factor: 6.883

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  22 in total

1.  Rabies shows how scale of transmission can enable acute infections to persist at low prevalence.

Authors:  Rebecca Mancy; Malavika Rajeev; Ahmed Lugelo; Kirstyn Brunker; Sarah Cleaveland; Elaine A Ferguson; Karen Hotopp; Rudovick Kazwala; Matthias Magoto; Kristyna Rysava; Daniel T Haydon; Katie Hampson
Journal:  Science       Date:  2022-04-28       Impact factor: 63.714

2.  An Agent-Based Model of School Closing in Under-Vacccinated Communities During Measles Outbreaks.

Authors:  Wayne M Getz; Colin Carlson; Eric Dougherty; Travis C Porco Francis; Richard Salter
Journal:  Agent Dir Simul Symp       Date:  2016-04

3.  Calculation of disease dynamics in a population of households.

Authors:  Joshua V Ross; Thomas House; Matt J Keeling
Journal:  PLoS One       Date:  2010-03-18       Impact factor: 3.240

4.  A marginal benefit approach for vaccinating influenza "superspreaders".

Authors:  Katherine J Skene; A David Paltiel; Eunha Shim; Alison P Galvani
Journal:  Med Decis Making       Date:  2014-05       Impact factor: 2.583

5.  Inference of R(0) and transmission heterogeneity from the size distribution of stuttering chains.

Authors:  Seth Blumberg; James O Lloyd-Smith
Journal:  PLoS Comput Biol       Date:  2013-05-02       Impact factor: 4.475

6.  The influenza pandemic preparedness planning tool InfluSim.

Authors:  Martin Eichner; Markus Schwehm; Hans-Peter Duerr; Stefan O Brockmann
Journal:  BMC Infect Dis       Date:  2007-03-13       Impact factor: 3.090

7.  Influences on influenza transmission within terminal based on hierarchical structure of personal contact network.

Authors:  Quan Shao; Meng Jia
Journal:  BMC Public Health       Date:  2015-03-18       Impact factor: 3.295

8.  Understanding and Modeling the Super-spreading Events of the Middle East Respiratory Syndrome Outbreak in Korea.

Authors:  Byung Chul Chun
Journal:  Infect Chemother       Date:  2016-06-30

9.  Network of vascular diseases, death and biochemical characteristics in a set of 4,197 patients with type 1 diabetes (the FinnDiane Study).

Authors:  Ville-Petteri Mäkinen; Carol Forsblom; Lena M Thorn; Johan Wadén; Kimmo Kaski; Mika Ala-Korpela; Per-Henrik Groop
Journal:  Cardiovasc Diabetol       Date:  2009-10-06       Impact factor: 9.951

10.  Field-isolated genotypes of Mycobacterium bovis vary in virulence and influence case pathology but do not affect outbreak size.

Authors:  David M Wright; Adrian R Allen; Thomas R Mallon; Stanley W J McDowell; Stephen C Bishop; Elizabeth J Glass; Mairead L Bermingham; John A Woolliams; Robin A Skuce
Journal:  PLoS One       Date:  2013-09-23       Impact factor: 3.240

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