Persistent infections support maintenance of a coronavirus in a population of Australian bats (Myotis macropus)

Epidemiology and Infection
J JeongH McCallum

Abstract

Understanding viral transmission dynamics within populations of reservoir hosts can facilitate greater knowledge of the spillover of emerging infectious diseases. While bat-borne viruses are of concern to public health, investigations into their dynamics have been limited by a lack of longitudinal data from individual bats. Here, we examine capture-mark-recapture (CMR) data from a species of Australian bat (Myotis macropus) infected with a putative novel Alphacoronavirus within a Bayesian framework. Then, we developed epidemic models to estimate the effect of persistently infectious individuals (which shed viruses for extensive periods) on the probability of viral maintenance within the study population. We found that the CMR data analysis supported grouping of infectious bats into persistently and transiently infectious bats. Maintenance of coronavirus within the study population was more likely in an epidemic model that included both persistently and transiently infectious bats, compared with the epidemic model with non-grouping of bats. These findings, using rare CMR data from longitudinal samples of individual bats, increase our understanding of transmission dynamics of bat viral infectious diseases.

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Citations

Feb 23, 2019·Viruses·Antonio C P WongPatrick C Y Woo
Nov 14, 2020·Pathogens and Global Health·Anecia D GentlesCara E Brook
Feb 12, 2021·Scientific Reports·Julien HirschingerTimothée Vergne
Feb 7, 2020·One Health Outlook·Diego Montecino-LatorreJonna A K Mazet
Jul 1, 2021·Applied and Environmental Microbiology·Rafael Gomes Von Borowski, Danielle Silva Trentin
Nov 21, 2021·Nature Reviews. Microbiology·Manuel Ruiz-AravenaRaina K Plowright

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Methods Mentioned

BETA
ELISA

Software Mentioned

R
R package ‘
R2OpenBUGS ’
R package ‘ mc2d ’
R package ‘ deSolve ’
OpenBUGS
PERT

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