Distribution of the hantavirus reservoir Oligoryzomys nigripes in Argentina: Choosing spatial models for the actual and potential distribution of the black-footed colilargo

A first step in understanding the ecology of rodents as reservoirs and their relation with the disease they transmit is to determine their geographical distribution. This distribution can be modeled as a function of environmental variables. We georeferenced an extensive database of hantavirus reserv...

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Detalles Bibliográficos
Autores principales:	Carbajo, A.E., Teta, P.
Formato:	JOUR
Materias:	Argentina Black-footed colilargo Hantavirus reservoir Oligoryzomys nigripes Spatial distribution database disease transmission genetic algorithm geographical distribution linearity reservoir rodent spatial distribution virus Hantavirus Muridae Oryzomys Rodentia Sigmodontinae
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_00251461_v73_n4_p313_Carbajo
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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spelling	todo:paper_00251461_v73_n4_p313_Carbajo2023-10-03T14:35:33Z Distribution of the hantavirus reservoir Oligoryzomys nigripes in Argentina: Choosing spatial models for the actual and potential distribution of the black-footed colilargo Carbajo, A.E. Teta, P. Argentina Black-footed colilargo Hantavirus reservoir Oligoryzomys nigripes Spatial distribution database disease transmission genetic algorithm geographical distribution linearity reservoir rodent spatial distribution virus Argentina Hantavirus Muridae Oligoryzomys nigripes Oryzomys Rodentia Sigmodontinae A first step in understanding the ecology of rodents as reservoirs and their relation with the disease they transmit is to determine their geographical distribution. This distribution can be modeled as a function of environmental variables. We georeferenced an extensive database of hantavirus reservoir Oligoryzomys nigripes (Muridae: Sigmodontinae) records in Argentina and used generalized linear models (GLMs) and genetic algorithm for rule-set prediction (GARP) to model the presence probability of this rodent as a function of multiple environmental variables. The GLMs correctly classified 86% of the sites and gave a good prediction area. The GLMs with a spatial term resulted in a probable presence area that matched the rodent occurrences too tightly, and thus was not useful to speculate on potential distribution. The GARP model resulted in a broader probable presence area for the black-footed colilargo than regression models. We suggest that the GLMs without spatial term reflect the actual distribution and should be considered for hantavirus most urgent control plans, whereas the GARP model could be regarded as the most widespread potential distribution and thus considered in long-term plans. © 2009 by Walter de Gruyter. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00251461_v73_n4_p313_Carbajo
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Argentina Black-footed colilargo Hantavirus reservoir Oligoryzomys nigripes Spatial distribution database disease transmission genetic algorithm geographical distribution linearity reservoir rodent spatial distribution virus Argentina Hantavirus Muridae Oligoryzomys nigripes Oryzomys Rodentia Sigmodontinae
spellingShingle	Argentina Black-footed colilargo Hantavirus reservoir Oligoryzomys nigripes Spatial distribution database disease transmission genetic algorithm geographical distribution linearity reservoir rodent spatial distribution virus Argentina Hantavirus Muridae Oligoryzomys nigripes Oryzomys Rodentia Sigmodontinae Carbajo, A.E. Teta, P. Distribution of the hantavirus reservoir Oligoryzomys nigripes in Argentina: Choosing spatial models for the actual and potential distribution of the black-footed colilargo
topic_facet	Argentina Black-footed colilargo Hantavirus reservoir Oligoryzomys nigripes Spatial distribution database disease transmission genetic algorithm geographical distribution linearity reservoir rodent spatial distribution virus Argentina Hantavirus Muridae Oligoryzomys nigripes Oryzomys Rodentia Sigmodontinae
description	A first step in understanding the ecology of rodents as reservoirs and their relation with the disease they transmit is to determine their geographical distribution. This distribution can be modeled as a function of environmental variables. We georeferenced an extensive database of hantavirus reservoir Oligoryzomys nigripes (Muridae: Sigmodontinae) records in Argentina and used generalized linear models (GLMs) and genetic algorithm for rule-set prediction (GARP) to model the presence probability of this rodent as a function of multiple environmental variables. The GLMs correctly classified 86% of the sites and gave a good prediction area. The GLMs with a spatial term resulted in a probable presence area that matched the rodent occurrences too tightly, and thus was not useful to speculate on potential distribution. The GARP model resulted in a broader probable presence area for the black-footed colilargo than regression models. We suggest that the GLMs without spatial term reflect the actual distribution and should be considered for hantavirus most urgent control plans, whereas the GARP model could be regarded as the most widespread potential distribution and thus considered in long-term plans. © 2009 by Walter de Gruyter.
format	JOUR
author	Carbajo, A.E. Teta, P.
author_facet	Carbajo, A.E. Teta, P.
author_sort	Carbajo, A.E.
title	Distribution of the hantavirus reservoir Oligoryzomys nigripes in Argentina: Choosing spatial models for the actual and potential distribution of the black-footed colilargo
title_short	Distribution of the hantavirus reservoir Oligoryzomys nigripes in Argentina: Choosing spatial models for the actual and potential distribution of the black-footed colilargo
title_full	Distribution of the hantavirus reservoir Oligoryzomys nigripes in Argentina: Choosing spatial models for the actual and potential distribution of the black-footed colilargo
title_fullStr	Distribution of the hantavirus reservoir Oligoryzomys nigripes in Argentina: Choosing spatial models for the actual and potential distribution of the black-footed colilargo
title_full_unstemmed	Distribution of the hantavirus reservoir Oligoryzomys nigripes in Argentina: Choosing spatial models for the actual and potential distribution of the black-footed colilargo
title_sort	distribution of the hantavirus reservoir oligoryzomys nigripes in argentina: choosing spatial models for the actual and potential distribution of the black-footed colilargo
url	http://hdl.handle.net/20.500.12110/paper_00251461_v73_n4_p313_Carbajo
work_keys_str_mv	AT carbajoae distributionofthehantavirusreservoiroligoryzomysnigripesinargentinachoosingspatialmodelsfortheactualandpotentialdistributionoftheblackfootedcolilargo AT tetap distributionofthehantavirusreservoiroligoryzomysnigripesinargentinachoosingspatialmodelsfortheactualandpotentialdistributionoftheblackfootedcolilargo
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Distribution of the hantavirus reservoir Oligoryzomys nigripes in Argentina: Choosing spatial models for the actual and potential distribution of the black-footed colilargo

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