Critical transitions in malaria transmission models are consistently generated by superinfection. (6th May 2019)

• Record Type: Journal Article
• Authors: Alonso, David; Dobson, Andy; Pascual, Mercedes
• Is Part Of: Philosophical transactions. Volume 374:Number 1775(2019)
• Publication Date: 2019-05-06
• Subjects: malaria dynamics -- critical transitions -- alternative steady states -- malaria superinfection -- backward bifurcation -- hysteresis in malaria model; Biology -- Periodicals; Science -- Periodicals; 570
• DOI: 10.1098/rstb.2018.0275
• Languages: English
• ISSNs: 0962-8436

Abstract

Abstract : The history of modelling vector-borne infections essentially begins with the papers by Ross on malaria. His models assume that the dynamics of malaria can most simply be characterized by two equations that describe the prevalence of malaria in the human and mosquito hosts. This structure has formed the central core of models for malaria and most other vector-borne diseases for the past century, with additions acknowledging important aetiological details. We partially add to this tradition by describing a malaria model that provides for vital dynamics in the vector and the possibility of super-infection in the human host: reinfection of asymptomatic hosts before they have cleared a prior infection. These key features of malaria aetiology create the potential for break points in the prevalence of infected hosts, sudden transitions that seem to characterize malaria's response to control in different locations. We show that this potential for critical transitions is a general and underappreciated feature of any model for vector-borne diseases with incomplete immunity, including the canonical Ross–McDonald model. Ignoring these details of the host's immune response to infection can potentially lead to serious misunderstanding in the interpretation of malaria distribution patterns and the design of control schemes for other vector-borne diseases. This article is part of the theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes'. This issue is linked with the subsequent theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control'.