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      Movimientos de roedores intra- e inter-ambiente y riesgo de exposición al Hantavirus “Andes” en Patagonia norte, Argentina

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          Abstract

          Se estudiaron algunos aspectos de la ecología espacial de tres especies de roedores sigmodontinos (Oligoryzomys longicaudatus, Abrothrix olivacea y Abrothrix hirta) en el Paraje El Contra del Parque Nacional Lanín (Provincia de Neuquén, Argentina). Los resultados se analizaron en el marco del riesgo de exposición humana al Hantavirus "Andes", agente causal del Síndrome Pulmonar por Hantavirus. El trabajo se realizó en dos tipos de ambiente: silvestre y doméstico. Los roedores fueron capturados mensualmente con la metodología de captura-marcado-recaptura. De esta manera se estimaron y compararon los movimientos dentro y entre ambos ambientes y los tamaños de áreas de acción. Oligoryzomys longicaudatus, principal reservorio del Hantavirus "Andes" en Patagonia, presentó el mayor número de capturas en ambos ambientes y más de lo esperado por azar dentro de los ambientes domésticos. Además, mostró las áreas de acción con menor tamaño promedio y movimientos intra-ambiente estadísticamente significativos. Los ambientes domésticos rurales resultaron ser potencialmente los más riesgosos en términos de exposición y transmisión de Hantavirus a humanos. Como resultado de las capturas y movimientos dispersivos de O. longicaudatus, se discuten otras contribuciones de este trabajo a la salud humana.

          Translated abstract

          Some aspects of the spatial ecology of three species of sigmodontine rodents (Oligoryzomys longicaudatus, Abrothrix olivacea and Abrothrix hirta) were studied in the Paraje El Contra, Lanín National Park (Province of Neuquén, Argentina), and the results were then analyzed in relation to the risk of human exposure to "Andes" Hantavirus, causative agent of Hantavirus Pulmonary Syndrome. The work was conducted in two environment types (sylvan and domestic), where mice were monthly captured using capture-mark-recapture methodology. Thus, movements within and between environments and home ranges sizes were estimated and compared. Oligoryzomys longicaudatus, principal reservoir of “Andes” Hantavirus in Patagonia, showed the largest number of captures in both environments and more captures than those expected by random within domestic environments. Moreover, it showed the lowest average home range sizes, and statistically significant intra environment movements. Rural domestic environments resulted to be the riskiest in terms of exposure and transmission of Hantavirus to humans. Other contributions of this work to human health are discussed as a result of captures and dispersal movements of O. longicaudatus.

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          Negative Binomial Regression

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            Using observation-level random effects to model overdispersion in count data in ecology and evolution

            Overdispersion is common in models of count data in ecology and evolutionary biology, and can occur due to missing covariates, non-independent (aggregated) data, or an excess frequency of zeroes (zero-inflation). Accounting for overdispersion in such models is vital, as failing to do so can lead to biased parameter estimates, and false conclusions regarding hypotheses of interest. Observation-level random effects (OLRE), where each data point receives a unique level of a random effect that models the extra-Poisson variation present in the data, are commonly employed to cope with overdispersion in count data. However studies investigating the efficacy of observation-level random effects as a means to deal with overdispersion are scarce. Here I use simulations to show that in cases where overdispersion is caused by random extra-Poisson noise, or aggregation in the count data, observation-level random effects yield more accurate parameter estimates compared to when overdispersion is simply ignored. Conversely, OLRE fail to reduce bias in zero-inflated data, and in some cases increase bias at high levels of overdispersion. There was a positive relationship between the magnitude of overdispersion and the degree of bias in parameter estimates. Critically, the simulations reveal that failing to account for overdispersion in mixed models can erroneously inflate measures of explained variance (r 2), which may lead to researchers overestimating the predictive power of variables of interest. This work suggests use of observation-level random effects provides a simple and robust means to account for overdispersion in count data, but also that their ability to minimise bias is not uniform across all types of overdispersion and must be applied judiciously.
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              R: language and environment for statistical computing

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Journal
                ecoaus
                Ecología austral
                Ecol. austral
                Asociación Argentina de Ecología (Córdoba, Córdoba, Argentina )
                1667-782X
                September 2017
                : 27
                : 2
                : 279-289
                Affiliations
                [02] Buenos Aires orgnameUniversidad de Buenos Aires orgdiv1Facultad de Agronomía orgdiv2Departamento Métodos Cuantitativos y Sistemas de Información Argentina
                [01] Junín de los Andes Neuquén orgnameCentro de Ecología Aplicada del Neuquén orgdiv1Dirección de Ecosistemas Terrestres Argentina
                Article
                S1667-782X2017000300007
                b03f98fa-826a-4509-915e-24ffd6fa3d5d

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 29 August 2016
                : 15 March 2017
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 75, Pages: 11
                Product

                SciELO Argentina


                Dispersión,Ambientes domésticos y silvestres,Oligoryzomys longicaudatus,Parque Nacional Lanín,Sigmodontinae,Uso de hábitat,Zoonosis,Dispersal,Domestic and sylvan environments,Lanín National Park,Habitat use

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