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.

Original publication

DOI

10.1016/j.epidem.2014.12.001

Type

Journal article

Journal

Epidemics

Publication Date

03/2015

Volume

10

Pages

97 - 101

Addresses

Department of Applied Mathematics and Theoretical Physics, Cambridge University, Cambridge, UK. Electronic address: pklepac@alum.mit.edu.

Keywords

Humans, Communicable Diseases, Disease Susceptibility, Population Surveillance, Models, Statistical, Communicable Disease Control, Cost-Benefit Analysis, Disease Eradication