Spatial analyses of wildlife contact networks

Journal of the Royal Society Interface

Volumn 12, Issue 102, 2015, Pages

  Davis, Stephen ^a   Abbasi, Babak ^a   Shah, Shrupa ^a   Telfer, Sandra ^b   Begon, Mike ^c  

^a RMIT UNIVERSITY   (Australia)

^b UNIVERSITY OF ABERDEEN   (United Kingdom)

^c UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Dissimilarity measure; Epidemiology; Field vole; Graph; Mathematical model; Microtus agrestis

Indexed keywords

DISEASES; EPIDEMIOLOGY; MATHEMATICAL MODELS;

DISSIMILARITY MEASURES; FIELD VOLES; GRAPH; INFECTIOUS DISEASE; MICROTUS; SPATIAL ARRANGEMENTS; SPATIAL CONSTRAINTS; STATISTICAL TECHNIQUES;

ANIMALS;

ARTICLE; BASIC REPRODUCTION NUMBER; DISEASE TRANSMISSION; FREQUENCY ANALYSIS; HUMAN; MICROTUS AGRESTIS; NONHUMAN; PATHOGENESIS; POPULATION DENSITY; POPULATION SIZE; SPATIAL ANALYSIS; WILDLIFE; WILDLIFE CONTACT NETWORK; ALGORITHM; ANIMAL; ANIMAL BEHAVIOR; ARVICOLINAE; BIOLOGICAL MODEL; FOREST; PHYSIOLOGY; POPULATION DYNAMICS; STATISTICAL MODEL; WILD ANIMAL;

MICROTUS AGRESTIS;

ALGORITHMS; ANIMALS; ANIMALS, WILD; ARVICOLINAE; BEHAVIOR, ANIMAL; FORESTS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; POPULATION DENSITY; POPULATION DYNAMICS; SPATIAL ANALYSIS;

EID: 84964314672     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2014.1004     Document Type: Article

References (26)

1. Bohm M, Hutchings MR, White PCL. 2009 Contact networks in a wildlife-livestock host community: identifying high-risk individuals in the transmission of bovine TB among badgers and cattle. PLoS ONE 4, e5016. (doi:10.1371/journal.pone.0005016)
2. Craft ME, Volz E, Packer C, Meyers LA. 2011 Disease transmission in territorial populations: the small-world network of Serengeti lions. J. R. Soc. Interface 8, 776-786. (doi:10.1098/rsif.2010.0511)
3. Craft ME, Caillaud D. 2011 Network models: an underutilized tool in wildlife epidemiology? Interdiscip. Perspect. Infect. Dis. 2011, 676949. (doi:10.1155/2011/676949)
4. Drewe JA, Eames KTD, Madden JR, Pearce GP. 2011 Integrating contact network structure into tuberculosis epidemiology in meerkats in South Africa: Implications for control. Prevent. Vet. Med. 101, 113-120. (doi:10.1016/j.prevetmed.2011.05.006)
5. Hamede RK, Bashford J, McCallum H, Jones M. 2009 Contact networks in a wild Tasmanian devil (Sarcophilus harrisii) population: using social network analysis to reveal seasonal variability in social behavior and its implications for transmission of devil facial tumour disease. Ecol. Lett. 12, 1147-1157. (doi:10.1111/j.1461-0248.2009.01370.x)
6. Fenner AL, Godfrey SS, Bull CM. 2011 Using social networks to deduce whether residents or dispersers spread parasites in a lizard population. J. Anim. Ecol. 80, 835-843. (doi:10.1111/j.1365-2656.2011.01825.x)
7. Perkins SE, Cagnacci F, Stradiotto A, Arnoldi D, Hudson PJ. 2009 Comparison of social networks derived from ecological data: implications for inferring infectious disease dynamics. J. Anim. Ecol. 78, 1015-1022. (doi:10.1111/j.1365-2656.2009.01557.x)
8. Porphyre T, McKenzie J, Stevenson MA. 2011 Contact patterns as a risk factor for bovine tuberculosis infection in a free-living adult brushtail possum Trichosurus vulpecula population. Prevent. Vet. Med. 100, 221-230. (doi:10.1016/j.prevetmed.2011.03.014)
9. May RM. 2006 Network structure and the biology of populations. Trends Ecol. Evol. 21, 394-399. (doi:10.1016/j.tree.2006.03.013)
10. Mollison D. 1977 Spatial contact models for ecological and epidemic spread. J. R. Stat. Soc. B 39, 283-326.
11. Keeling MJ. 1999 The effects of local spatial structure on epidemiological invasions. Proc. R. Soc. Lond. B 266, 859-867. (doi:10.1098/rspb.1999.0716)
12. Caldarelli G, Capocci A, De Los Rios P, Muňoz MA. 2002 Scale-free networks from varying vertex intrinsic fitness. Phys. Rev. Lett. 89, 258702. (doi:10.1103/PhysRevLett.89.258702)
13. Davis S. 2011 Percolation on a spatial network with individual heterogeneity as a model for disease spread among animal host populations. In Sustaining our future: understanding and living with uncertainty (eds F Chan, D Marinova, RS Anderssen), pp. 905-911. Perth, Australia: Modelling and Simulation Society of Australia and New Zealand (19th International Congress on Modelling and Simulation).
14. Volz EM, Miller JC, Galvani A, Meyers LA. 2011 Effects of heterogeneous and clustered contact patterns on infectious disease dynamics. PLoS Comput. Biol. 7, e1002042. (doi:10.1371/journal.pcbi.1002042)
15. Davis S, Begon M, De Bruyn L, Ageyev VS, Klassovskiy NL, Pole SB, Viljugrein H, Stenseth NC, Leirs H. 2004 Predictive thresholds for plague in Kazakhstan. Science 304, 736-738. (doi:10.1126/science.1095854)
16. Davis S, Trapman P, Begon M, Leirs H, Heesterbeek JAP. 2008 The abundance threshold for plague as a critical percolation phenomenon. Nature 454, 634-637. (doi:10.1038/nature07053)
17. Turner J, Begon M, Bowers RG. 2003 Modelling pathogen transmission: the interrelationship between local and global approaches. Proc. R. Soc. Lond. B 270, 105-112. (doi:10.1098/rspb.2002. 2213)
18. Smith MJ, Telfer S, Kallio ER, Burthe S, Cook AR, Lambin X, Begon M. 2009 Host-pathogen time series data in wildlife support a transmission function between density and frequency dependence. Proc. Natl Acad. Sci. USA 106, 7905-7909. (doi:10.1073/pnas.0809145106)
19. Hu H, Nigmatulina K, Eckhoff P. 2013 The scaling of contact rates with population density for the infectious disease models. Math. Biosci. 244, 125-134. (doi:10.1016/j.mbs.2013.04.013)
20. Lambin X, Petty SJ, MacKinnon JL. 2000 Cyclic dynamics in field vole populations and generalist predation. J. Animal Ecol. 69, 106-118. (doi:10.1046/j.1365-2656.2000.00380.x)
21. Begon M, Telfer S, Burthe S, Lambin X, Smith MJ, Paterson S. 2009 Effects of abundance on infection in natural populations: field voles and cowpox virus. Epidemics 1, 35-46. (doi:10.1016/j.epidem.2008.10.001)
22. Dale MRT, Fortin M-J. 2010 From graphs to spatial graphs. Annu. Rev. Ecol. Evol. Syst. 41, 21-38. (doi:10.1146/annurev-ecolsys-102209-144718)
23. R Core Team. 2013 R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. (http://www. R-project.org/)
24. Press WH, Teukolsky SA, Vetterling WT, Flannery BP. 2007 Numerical recipes: the art of scientific computing, 3rd edn. New York, NY: Cambridge University Press.
25. Begon M, Bennett M, Bowers RG, French NP, Hazel SM, Turner J. 2002 A clarification of transmission terms in host-microparasite models: numbers, densities and areas. Epidemiol. Infect. 129, 147-153. (doi:10.1017/S0950268802007148)
26. Lloyd-Smith JO, Cross PC, Briggs CJ, Daugherty M, Getz WM, Latto J, Sanchez MS, Smith AB, Swei A. 2005 Should we expect population thresholds for wildlife disease? Trends Ecol. Evol. 20, 511-519. (doi:10.1016/j.tree.2005.07.004)