Temporal dynamics of Puumala hantavirus infection in cyclic populations of bank voles

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Voutilainen , L , Kallio , E R , Niemimaa , J , Vapalahti , O & Henttonen , H 2016 , ' Temporal dynamics of Puumala hantavirus infection in cyclic populations of bank voles ' , Scientific Reports , vol. 6 , 21323 . https://doi.org/10.1038/srep21323

Title: Temporal dynamics of Puumala hantavirus infection in cyclic populations of bank voles
Author: Voutilainen, Liina; Kallio, Eva R.; Niemimaa, Jukka; Vapalahti, Olli; Henttonen, Heikki
Contributor organization: Department of Virology
Medicum
Olli Pekka Vapalahti / Principal Investigator
Clinicum
Viral Zoonosis Research Unit
Date: 2016-02-18
Language: eng
Number of pages: 14
Belongs to series: Scientific Reports
ISSN: 2045-2322
DOI: https://doi.org/10.1038/srep21323
URI: http://hdl.handle.net/10138/160983
Abstract: Understanding the dynamics of zoonotic pathogens in their reservoir host populations is a prerequisite for predicting and preventing human disease epidemics. The human infection risk of Puumala hantavirus (PUUV) is highest in northern Europe, where populations of the rodent host (bank vole, Myodes glareolus) undergo cyclic fluctuations. We conducted a 7-year capture-mark-recapture study to monitor seasonal and multiannual patterns of the PUUV infection rate in bank vole populations exhibiting a 3-year density cycle. Infected bank voles were most abundant in mid-winter months during years of increasing or peak host density. Prevalence of PUUV infection in bank voles exhibited a regular, seasonal pattern reflecting the annual population turnover and accumulation of infections within each year cohort. In autumn, the PUUV transmission rate tracked increasing host abundance, suggesting a density-dependent transmission. However, prevalence of PUUV infection was similar during the increase and peak years of the density cycle despite a twofold difference in host density. This may result from the high proportion of individuals carrying maternal antibodies constraining transmission during the cycle peak years. Our exceptionally intensive and long-term dataset provides a solid basis on which to develop models to predict the dynamic public health threat posed by PUUV in northern Europe.
Subject: SIN-NOMBRE-VIRUS
SOUTHWESTERN UNITED-STATES
NEPHROPATHIA-EPIDEMICA
CLETHRIONOMYS-GLAREOLUS
MYODES-GLAREOLUS
DEER MICE
MATERNAL ANTIBODIES
RODENT POPULATIONS
HOST POPULATIONS
SEED PRODUCTION
3111 Biomedicine
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: publishedVersion


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