TY - JOUR
T1 - Six challenges in the eradication of infectious diseases
AU - Klepac, Petra
AU - Funk, Sebastian
AU - Hollingsworth, T. Deirdre
AU - Metcalf, C. Jessica E.
AU - Hampson, Katie
N1 - Funding Information:
The authors wish to thank Angela McLean and the participants of the Infectious Disease Dynamics workshop at the Newton Institute for Mathematical Sciences in Cambridge. P.K. acknowledges funding from AXA Research Fund . S.F. is supported by a UK Medical Research Council Career Development Award in Biostatistics (MR/K021680/1). C.J.E.M. was funded by the Bill and Melinda Gates Foundation, and the RAPIDD programme of the Science & Technology Directorate, Department of Homeland Security and the Fogarty International Centre, National Institutes of Health. K.H. is supported by the Wellcome Trust and RAPIDD.
Publisher Copyright:
© 2014 The Authors.
PY - 2015/3
Y1 - 2015/3
N2 - Eradication and elimination are increasingly a part of the global health agenda. Once control measures have driven infection to low levels, the ecology of disease may change posing challenges for eradication efforts. These challenges vary from identifying pockets of susceptibles, improving monitoring during and after the endgame, to quantifying the economics of disease eradication versus sustained control, all of which are shaped and influenced by processes of loss of immunity, susceptible build-up, emergence of resistance, population heterogeneities and non-compliance with control measures. Here we discuss how modelling can be used to address these challenges.
AB - Eradication and elimination are increasingly a part of the global health agenda. Once control measures have driven infection to low levels, the ecology of disease may change posing challenges for eradication efforts. These challenges vary from identifying pockets of susceptibles, improving monitoring during and after the endgame, to quantifying the economics of disease eradication versus sustained control, all of which are shaped and influenced by processes of loss of immunity, susceptible build-up, emergence of resistance, population heterogeneities and non-compliance with control measures. Here we discuss how modelling can be used to address these challenges.
KW - Dynamics
KW - Elimination
KW - Heterogeneity
KW - Modelling
KW - Surveillance
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U2 - 10.1016/j.epidem.2014.12.001
DO - 10.1016/j.epidem.2014.12.001
M3 - Article
C2 - 25843393
AN - SCOPUS:84926153737
SN - 1755-4365
VL - 10
SP - 97
EP - 101
JO - Epidemics
JF - Epidemics
ER -