title: Unlocking pathogen genotyping information for public health by mathematical modeling.
abstract: Molecular typing and mathematical modeling have gone through rapid development in the past decade. Both offer new insights into the epidemiology of infectious diseases, thereby contributing to a better understanding of transmission dynamics. Infectious disease surveillance and control benefit from the optimum use of these techniques. In this paper, we review recent developments and propose methods to integrate pathogen ecology and molecular evolution based on their common dependence on the underlying host contact patterns.
authors.affiliation: Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands. m.e.e.kretzschmar@umcutrecht.nl
authors.forename: Mirjam
authors.initials: M
authors.lastname: Kretzschmar
authors.forename: M Gabriela M
authors.initials: MG
authors.lastname: Gomes
authors.forename: Roel A
authors.initials: RA
authors.lastname: Coutinho
authors.forename: James S
authors.initials: JS
authors.lastname: Koopman
mesh_terms: D001419:Bacteria / Q000145:classification / Q000235:genetics*; D003140:Communicable Disease Control / Q000379:methods*; D003141:Communicable Diseases / Q000453:epidemiology* / Q000382:microbiology* / Q000635:transmission / Q000821:virology; D019295:Computational Biology; D018563:Disease Notification; D005060:Europe; D019143:Evolution, Molecular; D005838:Genotype; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D008962:Models, Theoretical; D017720:Molecular Epidemiology / Q000379:methods*; D009426:Netherlands; D011634:Public Health; D014780:Viruses / Q000145:classification / Q000235:genetics*