Dose–response and transmission: the nexus between reservoir hosts, environment and recipient hosts

Author:

Lunn Tamika J.1ORCID,Restif Olivier2ORCID,Peel Alison J.1,Munster Vincent J.3,de Wit Emmie3,Sokolow Sanna4,van Doremalen Neeltje3,Hudson Peter5,McCallum Hamish1ORCID

Affiliation:

1. Environmental Futures Research Institute, Griffith University, Kessels Road, Nathan, Queensland 4111, Australia

2. Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge CB3 0ES, UK

3. Laboratory of Virology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, Montana, MT 59840, USA

4. Stanford Woods Institute for the Environment, Stanford University, Serra Mall, Stanford, CA 94305, USA

5. Center for Infectious Disease Dynamics, Pennsylvania State University, State College, Pennsylvania, PA 16801, USA

Abstract

Dose is the nexus between exposure and all upstream processes that determine pathogen pressure, and is thereby an important element underlying disease dynamics. Understanding the relationship between dose and disease is particularly important in the context of spillover, where nonlinearities in the dose–response could determine the likelihood of transmission. There is a need to explore dose–response models for directly transmitted and zoonotic pathogens, and how these interactions integrate within-host factors to consider, for example, heterogeneity in host susceptibility and dose-dependent antagonism. Here, we review the dose–response literature and discuss the unique role dose–response models have to play in understanding and predicting spillover events. We present a re-analysis of dose–response experiments for two important zoonotic pathogens (Middle East respiratory syndrome coronavirus and Nipah virus), to exemplify potential difficulties in differentiating between appropriate models with small exposure experiment datasets. We also discuss the data requirements needed for robust selection between dose–response models. We then suggest how these processes could be modelled to gain more realistic predictions of zoonotic transmission outcomes and highlight the exciting opportunities that could arise with increased collaboration between the virology and epidemiology disciplines. This article is part of the theme issue ‘Dynamic and integrative approaches to understanding pathogen spillover’.

Funder

Research Training Program scholarship

Alborada Trust

Intramural Research Program

Defense Advanced Research Projects Agency, Preventing Emerging Pathogenic Threats

National Science Foundation, Coupled Dynamics of Natural and Human Systems

a Queensland Government Accelerate Postdoctoral Research Fellowship

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

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