Hantavirus Antibody Occurrence in Bank Voles (Clethrionomys Glareolus) During a Vole Population Cycle

Olsson, Gert E.; Ahlm, Clas; Elgh, Fredrik; Verlemyr, Ann-Christin; White, Neil; Juto, Per; Palo, Thomas

doi:10.7589/0090-3558-39.2.299

Cited by 27 publications

(37 citation statements)

References 31 publications

(17 reference statements)

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“…In Finland and northern Scandinavia, bank vole populations show multiannual cyclic patterns of 3-4 years with increase, peak, and decline/low phase , Olsson et al 2003a, Hö rnfeldt 2004, Korpimä ki et al 2005. In Sweden, for example, bank vole abundance alone explained >70% of the variation in seasonal HFRS incidence (Olsson et al 2009), and in Finland the current increase or peak phase of the bank vole cycle was a good predictor of risk (Kallio et al 2009).…”

Section: Regional and Temporal Host Population Dynamicsmentioning

confidence: 94%

Hantaviruses and Their Hosts in Europe: Reservoirs Here and There, But Not Everywhere?

Olsson

Leirs²,

Henttonen

2010

Vector-Borne and Zoonotic Diseases

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Five hantaviruses are known to circulate among rodents in Europe, and at least two among insectivores. Four (Dobrava, Saaremaa, Seoul, and Puumala [PUUV] viruses) are clearly associated with hemorrhagic fever with renal syndrome (HFRS). PUUV, the most common etiological agent of HFRS in Europe, is carried by the bank vole (Myodes glareolus), one of the most widespread and abundant mammal species in Europe. This host-virus system is among hantaviruses also the most studied one in Europe. However, HFRS incidence varies throughout the continent. The spatial as well as temporal variation in the occurrence of HFRS is linked to geographic differences in the population dynamics of the reservoir rodents in different biomes of Europe. While rodent abundance may follow mast seeding events in many parts of temperate Europe, in northern (N) Europe multiannual cycles in population density exist as the result of the interaction between rodent populations and specialist predator populations in a delayed density-dependent manner. The spatial distribution of hantaviruses further depends on parameters such as forest patch size and connectivity of the most suitable rodent habitats, and the conditions for the survival of the virus outside the host, as well as historical distribution patterns (phylogeographies) of hosts and viruses. In multiannually fluctuating populations of rodents, with population increases of great amplitude, one should expect a simultaneous build-up of recently hantavirus-infected (shedding) rodents. The increasing number of infectious, virus-shedding rodents leads to a rapid transmission of hantavirus across the rodent population, and to humans. Our review discusses these aspects for PUUV, the only European hantavirus for which there is a reasonable, yet still far from complete, ecological continental-wide understanding. We discuss how this information could translate to other European hantavirus-host systems, and where the most important questions lie for further research.

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Section: Regional and Temporal Host Population Dynamicsmentioning

confidence: 94%

Hantaviruses and Their Hosts in Europe: Reservoirs Here and There, But Not Everywhere?

Olsson

Leirs²,

Henttonen

2010

Vector-Borne and Zoonotic Diseases

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“…A recent study found a negative correlation between density and prevalence in El Moro Canyon virus in western harvest mice . In bank voles, Puumala virus seroprevalence was well predicted in part by the phase of population, being highest after the peak, implying both density-dependence and delayed densitydependence (Olsson et al, 2002(Olsson et al, , 2003. (Boone et al, 1998) a + indicates a significant positive relationship, − a significant negative relationship, and 0 the lack of a significant relationship…”

Section: Introductionmentioning

confidence: 92%

How Host Population Dynamics Translate into Time-Lagged Prevalence: An Investigation of Sin Nombre Virus in Deer Mice

2007

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Human cases of hantavirus pulmonary syndrome caused by Sin Nombre virus are the endpoint of complex ecological cascade from weather conditions, population dynamics of deer mice, to prevalence of SNV in deer mice. Using population trajectories from the literature and mathematical modeling, we analyze the time lag between deer mouse population peaks and peaks in SNV antibody prevalence in deer mice. Because the virus is not transmitted vertically, rapid population growth can lead initially to reduced prevalence, but the resulting higher population size may later increase contact rates and generate increased prevalence. Incorporating these factors, the predicted time lag ranges from 0 to 18 months, and takes on larger values when host population size varies with a longer period or higher amplitude, when mean prevalence is low and when transmission is frequency-dependent. Population size variation due to variation in birth rates rather than death rates also increases the lag. Predicting future human outbreaks of hantavirus pulmonary syndrome may require taking these effects into account.

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“…Typical symptoms are fever, headache, muscle pain, nausea and impaired renal function [7,8]. The main reservoirs of PUUV are bank voles (Myodes glareolus), which can carry the infection persistently [9][10][11][12]. In Western and Central Europe the bank vole's preferred habitat is broad-leaved oak and beech forests as well as densely mixed forests with abundant herb and undergrowth layers [13].…”

Section: Introductionmentioning

confidence: 99%

Survey and case-control study during epidemics of Puumala virus infection

et al. 2009

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SUMMARYIn Baden-Wuerttemberg, a federal state in south-west Germany, a large outbreak of 1089 laboratory-confirmed human Puumala virus (PUUV) infections occurred in 2007. We conducted a survey to describe the disease burden and a case-control study to identify risk factors for acquiring PUUV. Case-patients were interviewed about clinical outcome and both case-patients and randomly recruited controls were interviewed about exposure. We calculated matched odds ratios (mOR) using a conditional logistic regression model. Multivariable analysis of 191 matched case-control pairs showed that case-patients were more likely than controls to have seen small rodents/their droppings (mOR 1 . 9, 95 % CI 1 . 2-3 . 0), cleaned utility rooms (mOR 1 . 8, 95 % CI 1 . 0-3 . 4) and visited forest shelters (mOR 3 . 9, 95% CI 1 . 1-14 . 3). Two thirds of case-patients required hospitalization. During PUUV epidemics rodent control measures and use of protective equipment should be considered in utility rooms and shelters.

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Hantavirus Antibody Occurrence in Bank Voles (Clethrionomys Glareolus) During a Vole Population Cycle

Cited by 27 publications

References 31 publications

Hantaviruses and Their Hosts in Europe: Reservoirs Here and There, But Not Everywhere?

Hantaviruses and Their Hosts in Europe: Reservoirs Here and There, But Not Everywhere?

How Host Population Dynamics Translate into Time-Lagged Prevalence: An Investigation of Sin Nombre Virus in Deer Mice

Survey and case-control study during epidemics of Puumala virus infection

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