Mechanisms for lyssavirus persistence in non-synanthropic bats in Europe: insights from a modeling study.

Davide Colombi1,2 Jordi Serra-Cobo3 Raphaëlle Métras4,5 Andrea Apolloni5,6 Chiara Poletto7 Marc López-Roig3 Hervé Bourhy8 Vittoria Colizza9
Affiliations 9 institutions
  1. Computational Epidemiology Laboratory, Institute for Scientific Interchange (ISI), Turin, Italy.
  2. Physics Department and INFN, University of Turin, via P. Giuria 1, 10125, Turin, Italy.
  3. Institut de Recerca de la Biodiversitat, Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Universitat de Barcelona, Barcelona, Spain.
  4. CIRAD, UMR ASTRE, F-34398, Montpellier, France.
  5. ASTRE, Univ Montpellier, CIRAD, INRA, Montpellier, France.
  6. Institut Sénégalais de Recherches Agricoles, Laboratoire National de l'Elevage et de Recherche Vétérinaire, Parc Scientifique de Hann, Dakar, Senegal.
  7. INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, F75012, Paris, France.
  8. Institut Pasteur, Unit lyssavirus dynamics and host adaptation, Paris, France.
  9. INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, F75012, Paris, France. [email protected].

Abstract

Bats are natural reservoirs of the largest proportion of viral zoonoses among mammals, thus understanding the conditions for pathogen persistence in bats is essential to reduce human risk. Focusing on the European Bat Lyssavirus subtype 1 (EBLV-1), causing rabies disease, we develop a data-driven spatially explicit metapopulation model to investigate EBLV-1 persistence in Myotis myotis and Miniopterus schreibersii bat species in Catalonia. We find that persistence relies on host spatial structure through the migratory nature of M. schreibersii, on cross-species mixing with M. myotis, and on survival of infected animals followed by temporary immunity. The virus would not persist in the single colony of M. myotis. Our study provides for the first time epidemiological estimates for EBLV-1 progression in M. schreibersii. Our approach can be readily adapted to other zoonoses of public health concern where long-range migration and habitat sharing may play an important role.

Supporting text Virus Host Location
Adaptive Immunity 3 Animal Migration 21 Animals 1948 Caves 2 Chiroptera 371 Ecosystem 36 Humans 1440 Lyssavirus 11 Models, Theoretical 13 Public Health 17 Rhabdoviridae Infections 9 Seasons 47 Sexual Behavior, Animal 1 Spain 25 Zoonoses 397 European bat 1 lyssavirus 1

Evidence records

2 total
Zoonotic Surveillance
2 records · 1 evidence types
Evidence type
2 records
OVE3209
Key finding

Persistence of European Bat Lyssavirus subtype 1 depends on the migratory metapopulation structure of Miniopterus schreibersii and its mixing with Myotis myotis colonies in Catalonia.

Virus
Host
Location
Supporting text

Focusing on the European Bat Lyssavirus subtype 1 (EBLV-1), causing rabies disease, we develop a data-driven spatially explicit metapopulation model to investigate EBLV-1 persistence in Myotis myotis and Miniopterus schreibersii bat species in Catalonia. We find that persistence relies on host spatial structure through the migratory nature of M. schreibersii, on cross-species mixing with M. myotis, and on survival of infected animals followed by temporary immunity.

Method
spatially explicit metapopulation modeling
Geographic raw
Catalonia
Country inferred
ESP
OVE3210
Key finding

European Bat Lyssavirus subtype 1 (EBLV-1) transmission occurs between Myotis myotis and Miniopterus schreibersii bats through cross-species mixing in Catalonia.

Virus
Host
Location
Supporting text

Focusing on the European Bat Lyssavirus subtype 1 (EBLV-1), causing rabies disease, we develop a data-driven spatially explicit metapopulation model to investigate EBLV-1 persistence in Myotis myotis and Miniopterus schreibersii bat species in Catalonia. We find that persistence relies on host spatial structure through the migratory nature of M. schreibersii, on cross-species mixing with M. myotis, and on survival of infected animals followed by temporary immunity.

Method
epidemiological modeling | data-driven spatially explicit analysis
Geographic raw
Catalonia