The effect of governance structures on optimal control of two-patch epidemic models

J Math Biol. 2023 Oct 20;87(5):74. doi: 10.1007/s00285-023-02001-8.

Abstract

Infectious diseases continue to pose a significant threat to the health of humans globally. While the spread of pathogens transcends geographical boundaries, the management of infectious diseases typically occurs within distinct spatial units, determined by geopolitical boundaries. The allocation of management resources within and across regions (the "governance structure") can affect epidemiological outcomes considerably, and policy-makers are often confronted with a choice between applying control measures uniformly or differentially across regions. Here, we investigate the extent to which uniform and non-uniform governance structures affect the costs of an infectious disease outbreak in two-patch systems using an optimal control framework. A uniform policy implements control measures with the same time varying rate functions across both patches, while these measures are allowed to differ between the patches in a non-uniform policy. We compare results from two systems of differential equations representing transmission of cholera and Ebola, respectively, to understand the interplay between transmission mode, governance structure and the optimal control of outbreaks. In our case studies, the governance structure has a meaningful impact on the allocation of resources and burden of cases, although the difference in total costs is minimal. Understanding how governance structure affects both the optimal control functions and epidemiological outcomes is crucial for the effective management of infectious diseases going forward.

Keywords: Cholera; Ebola; Governance; ODE model; Optimal control; Spatial movement.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Cholera* / epidemiology
  • Cholera* / prevention & control
  • Communicable Diseases* / epidemiology
  • Disease Outbreaks / prevention & control
  • Epidemics* / prevention & control
  • Hemorrhagic Fever, Ebola* / epidemiology
  • Hemorrhagic Fever, Ebola* / prevention & control
  • Humans