Literature detail

What is stirring in the reservoir? Modelling mechanisms of henipavirus circulation in fruit bat hosts.

Emma E Glennon1 Daniel J Becker2,3 Alison J Peel4 Romain Garnier1,5 Richard D Suu-Ire6 Louise Gibson7 David T S Hayman8 James L N Wood1 Andrew A Cunningham7 Raina K Plowright2 Olivier Restif1
Affiliations 8 institutions
  1. Department of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, UK.
  2. Department of Microbiology and Immunology, Montana State University, Bozeman, MT 59717, USA.
  3. Department of Biology, Indiana University, Bloomington, IN 47405, USA.
  4. Environmental Futures Research Institute, Griffith University, Nathan, Queensland, QLD 4111, Australia.
  5. Department of Biology, Georgetown University, Washington, DC 20007, USA.
  6. School of Veterinary Medicine, College of Basic and Applied Sciences, University of Ghana, Legon, Accra, Ghana.
  7. Institute of Zoology, Zoological Society of London, London NW1 4RY, UK.
  8. Molecular Epidemiology and Public Health Laboratory, Infectious Disease Research Centre, Hopkirk Research Institute, Massey University, Palmerston North, 4442, New Zealand.
PMID 31401962 2019 Philos Trans R Soc Lond B Biol Sci eng ppublish
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Article

Publication summary

Pathogen circulation among reservoir hosts is a precondition for zoonotic spillover. Unlike the acute, high morbidity infections typical in spillover hosts, infected reservoir hosts often exhibit low morbidity and mortality. Although it has been proposed that reservoir host infections may be persistent with recurrent episodes of shedding, direct evidence is often lacking. We construct a generalized SEIR (susceptible, exposed, infectious, recovered) framework encompassing 46 sub-models representing the full range of possible transitions among those four states of infection and immunity. We then use likelihood-based methods to fit these models to nine years of longitudinal data on henipavirus serology from a captive colony of Eidolon helvum bats in Ghana. We find that reinfection is necessary to explain observed dynamics; that acute infectious periods may be very short (hours to days); that immunity, if present, lasts about 1-2 years; and that recurring latent infection is likely. Although quantitative inference is sensitive to assumptions about serology, qualitative predictions are robust. Our novel approach helps clarify mechanisms of viral persistence and circulation in wild bats, including estimated ranges for key parameters such as the basic reproduction number and the duration of the infectious period. Our results inform how future field-based and experimental work could differentiate the processes of viral recurrence and reinfection in reservoir hosts. This article is part of the theme issue 'Dynamic and integrative approaches to understanding pathogen spillover'.

disease dynamics Eidolon helvum fruit bats henipavirus reservoir hosts zoonosis Chiroptera Animals Animals, Zoo Disease Reservoirs Ghana Henipavirus Henipavirus Infections Prevalence Seroepidemiologic Studies

Structured evidence records

Evidence records

2 total
1 records
Extraction confidence 0.95
Key finding

Henipavirus persistence and circulation in Eidolon helvum bats in Ghana are driven by reinfection and possibly recurrent latent infection, supporting mechanisms for reservoir maintenance.

Virus
Location
Supporting text

We then use likelihood-based methods to fit these models to nine years of longitudinal data on henipavirus serology from a captive colony of Eidolon helvum bats in Ghana. We find that reinfection is necessary to explain observed dynamics; that acute infectious periods may be very short (hours to days); that immunity, if present, lasts about 1-2 years; and that recurring latent infection is likely.

Method
likelihood-based modeling; longitudinal serology; SEIR framework
Sample type
serology
Geographic raw
Ghana
Country inferred
Ghana
1 records
Extraction confidence 0.90
Key finding

Henipavirus serology conducted over nine years in Eidolon helvum bats in Ghana showed immune responses consistent with reinfection and transient immunity, supporting active circulation in the reservoir colony.

Virus
Location
Not specified
Supporting text

We then use likelihood-based methods to fit these models to nine years of longitudinal data on henipavirus serology from a captive colony of Eidolon helvum bats in Ghana.

Method
serology
Sample type
serum