TY - JOUR
T1 - Seven challenges in modeling pathogen dynamics within-host and across scales
AU - Gog, Julia R.
AU - Pellis, Lorenzo
AU - Wood, James L. N.
AU - McLean, Angela R.
AU - Arinaminpathy, Nimalan
AU - Lloyd-Smith, James O.
PY - 2015/3
Y1 - 2015/3
N2 - The population dynamics of infectious disease is a mature field in terms of theory and to some extent, application. However for microparasites, the theory and application of models of the dynamics within a single infected host is still an open field. Further, connecting across the scales – from cellular to host level, to population level – has potential to vastly improve our understanding of pathogen dynamics and evolution. Here, we highlight seven challenges in the following areas: transmission bottlenecks, heterogeneity within host, dynamic fitness landscapes within hosts, making use of next-generation sequencing data, capturing superinfection and when and how to model more than two scales.
AB - The population dynamics of infectious disease is a mature field in terms of theory and to some extent, application. However for microparasites, the theory and application of models of the dynamics within a single infected host is still an open field. Further, connecting across the scales – from cellular to host level, to population level – has potential to vastly improve our understanding of pathogen dynamics and evolution. Here, we highlight seven challenges in the following areas: transmission bottlenecks, heterogeneity within host, dynamic fitness landscapes within hosts, making use of next-generation sequencing data, capturing superinfection and when and how to model more than two scales.
KW - Within-host
KW - Multiple scales
KW - Superinfection
KW - Transmission bottlenecks
KW - Deep-sequencing
UR - https://www.scopus.com/pages/publications/84940006992
U2 - 10.1016/j.epidem.2014.09.009
DO - 10.1016/j.epidem.2014.09.009
M3 - Article
SN - 1755-4365
VL - 10
SP - 45
EP - 48
JO - Epidemics
JF - Epidemics
ER -