Literature DB >> 21142469

Temporal variation in individual factors associated with hantavirus infection in bank voles during an epizootic: implications for Puumala virus transmission dynamics.

Katrien Tersago1, Ron Verhagen, Herwig Leirs.   

Abstract

Puumala virus (PUUV), the causal agent of nephropathia epidemica in humans, is one of the many hantaviruses included in the list of emerging pathogens. Hantavirus infection is not distributed evenly among PUUV reservoir hosts (i.e., bank voles [Myodes glareolus]). Besides environmental factors and local population features, individual characteristics play an important role in vole PUUV infection risk. Identifying the relative importance of these individual characteristics can provide crucial information on PUUV transmission processes. In the present study, bank voles were monitored during the nephropathia epidemica outbreak of 2005 in Belgium. Vole sera were tested for presence of immunoglobulin G against PUUV, and a logistic mixed model was built to investigate the temporal variation in individual characteristics and their relative importance to PUUV infection risk in bank voles. Relative risk calculations for individual vole characteristics related to PUUV infection in the reservoir host show that reproductive activity dominates infection risk. The gender effect is only found in reproductively active voles, where reproductively active males have the highest infection risk. Results also revealed a clear seasonal variation in the importance of reproductive activity linked to PUUV infection. In contrast to the main effect found in other trapping sessions, no difference in infection risk ratio was found between reproductively active and nonactive voles in the spring period. Combined with increased infection risk for the reproductively nonactive group at that time, these results indicate a shift in the transmission process due to changes in bank vole behavior, physiology, or climate conditions. Hence, our results suggest that mathematical models should take into account seasonal shifts in transmission mechanisms. When these results are combined with the seasonal changes in population structure during the epizootic period, we identify vole reproductive activity and length of the breeding season as potential drivers of PUUV epizootics in west-central European regions.

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Year:  2010        PMID: 21142469     DOI: 10.1089/vbz.2010.0007

Source DB:  PubMed          Journal:  Vector Borne Zoonotic Dis        ISSN: 1530-3667            Impact factor:   2.133


  11 in total

1.  Puumala hantavirus infection alters the odour attractiveness of its reservoir host.

Authors:  Nelika K Hughes; Sanne Helsen; Katrien Tersago; Herwig Leirs
Journal:  Oecologia       Date:  2014-09-11       Impact factor: 3.225

2.  Juveniles and migrants as drivers for seasonal epizootics of avian influenza virus.

Authors:  Jacintha G B van Dijk; Bethany J Hoye; Josanne H Verhagen; Bart A Nolet; Ron A M Fouchier; Marcel Klaassen
Journal:  J Anim Ecol       Date:  2013-09-04       Impact factor: 5.091

3.  In Search for Factors that Drive Hantavirus Epidemics.

Authors:  Paul Heyman; Bryan R Thoma; Jean-Lou Marié; Christel Cochez; Sandra Simone Essbauer
Journal:  Front Physiol       Date:  2012-07-10       Impact factor: 4.566

4.  First Evidence of Akodon-Borne Orthohantavirus in Northeastern Argentina.

Authors:  E F Burgos; M V Vadell; C M Bellomo; V P Martinez; O D Salomon; I E Gómez Villafañe
Journal:  Ecohealth       Date:  2021-11-01       Impact factor: 3.184

5.  Effects of Climate and Rodent Factors on Hemorrhagic Fever with Renal Syndrome in Chongqing, China, 1997-2008.

Authors:  Yuntao Bai; Zhiguang Xu; Bo Lu; Qinghua Sun; Wenge Tang; Xiaobo Liu; Weizhong Yang; Xinyi Xu; Qiyong Liu
Journal:  PLoS One       Date:  2015-07-20       Impact factor: 3.240

6.  Identification of factors influencing the Puumala virus seroprevalence within its reservoir in aMontane Forest Environment.

Authors:  Bryan R Thoma; Jörg Müller; Claus Bässler; Enrico Georgi; Anja Osterberg; Susanne Schex; Christian Bottomley; Sandra S Essbauer
Journal:  Viruses       Date:  2014-10-23       Impact factor: 5.048

7.  Estimating Time of Infection Using Prior Serological and Individual Information Can Greatly Improve Incidence Estimation of Human and Wildlife Infections.

Authors:  Benny Borremans; Niel Hens; Philippe Beutels; Herwig Leirs; Jonas Reijniers
Journal:  PLoS Comput Biol       Date:  2016-05-13       Impact factor: 4.475

8.  Puumala hantavirus infections in bank vole populations: host and virus dynamics in Central Europe.

Authors:  Daniela Reil; Ulrike M Rosenfeld; Christian Imholt; Sabrina Schmidt; Rainer G Ulrich; Jana A Eccard; Jens Jacob
Journal:  BMC Ecol       Date:  2017-02-28       Impact factor: 2.964

9.  Why Hantavirus Prevalence Does Not Always Increase With Host Density: Modeling the Role of Host Spatial Behavior and Maternal Antibodies.

Authors:  Jonas Reijniers; Katrien Tersago; Benny Borremans; Nienke Hartemink; Liina Voutilainen; Heikki Henttonen; Herwig Leirs
Journal:  Front Cell Infect Microbiol       Date:  2020-09-29       Impact factor: 5.293

10.  Environmental change and disease dynamics: effects of intensive forest management on Puumala hantavirus infection in boreal bank vole populations.

Authors:  Liina Voutilainen; Sakeri Savola; Eva Riikka Kallio; Juha Laakkonen; Antti Vaheri; Olli Vapalahti; Heikki Henttonen
Journal:  PLoS One       Date:  2012-06-20       Impact factor: 3.240

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