English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

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.

mammalia

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