A geographically-aware complex network approach for foot-and-mouth disease phylodynamics
Luiz Max F. Carvalho1; Leonardo Bacelar Lima Santos2; Paulo E. P. Burke3; Marcos Quiles4; Waldemir de Castro Silveira5
1 University of Edinburgh; 2 Cemaden; 3 Federal University of São Paulo; 4 Universidade Federal de São Paulo; 5 Trimatrix LTDA
Resumo
Phylodynamics provides the theoretical foundation for the use of the information contained in genomes to draw inference on temporal and spatial behavior of organisms. In this study we use complex networks to explore the structure of genetic data within a computationally fast framework. In this work we analyze 167 1D (VP1) gene sequences from Foot-and-Mouth Disease on South-America using a family of Complex Networks embedded on geographic space. Taking genetic dissimilarity as connection threshold, our topological analysis show networks with high clustering.
Palavras-chave: Complex Networks; Epidemiology and Mathematical Models ; System Biology