Publications by authors named "Veronica Andreo"

The global spread of Aedes aegypti and the associated public health risk have stimulated the development of several mathematical models to predict population dynamics in response to biological or environmental changes in real, future, or simulated scenarios. The aim of this study is to identify published articles on differential equation-based population dynamics models of Aedes aegypti, highlight their differences and commonalities, and examine their application in surveillance and control programs. Following the PRISMA guidelines, a systematic review was conducted in seven electronic databases (Scopus, PUBMED, IEEE Xplore, Science Direct, DOAJ, Scielo, and Google Scholar), with the last update on 8 February 2023.

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  • - The evolutionary history and distribution of the Córdoba vesper mouse (Calomys venustus) in southern South America have not been thoroughly researched, particularly in regard to Quaternary climatic changes and their impact on genetic variation.
  • - This study used mitochondrial DNA sequencing and ecological niche modeling to investigate the phylogeography and potential distribution of C. venustus, revealing that the Espinal region was likely its area of origin that expanded during the last glacial period.
  • - Findings indicate a strong connection between the Espinal and the Mountain Chaco, supporting the idea that the Espinal has significant biogeographic importance in the region's evolutionary history.
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New approaches to the study of cardiometabolic disease (CMD) distribution include analysis of built environment (BE), with spatial tools as suitable instruments. We aimed to characterize the spatial dissemination of CMD and the associated risk factors considering the BE for people attending the Non-Invasive Cardiology Service of Hospital Nacional de Clinicas in Córdoba City, Argentina during the period 2015-2020. We carried out an observational, descriptive, cross-sectional study performing non-probabilistic convenience sampling.

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Strategies for the prevention of arboviral diseases transmitted by have traditionally focused on vector control. This remains the same to this day, despite a lack of documented evidence on its efficacy due to a lack of coverage and sustainability. The continuous growth of urban areas and generally unplanned urbanization, which favor the presence of , demand resources, both material and human, as well as logistics to effectively lower the population's risk of infection.

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In this work we assessed the environmental factors associated with the spatial distribution of a cutaneous leishmaniasis (CL) outbreak during 2015-2016 in north-eastern Argentina to understand its typical or atypical eco-epidemiological pattern. We combined locations of human CL cases with relevant predictors derived from analysis of remote sensing imagery in the framework of ecological niche modelling and trained MaxEnt models with cross-validation for predictors estimated at different buffer areas relevant to CL vectors (50 and 250 m radii). To account for the timing of biological phenomena, we considered environmental changes occurring in two periods, 2014-2015 and 2015-2016.

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, the mosquito species transmitting dengue, zika, chikungunya and yellow fever viruses, is fully adapted to thrive in urban areas. The temporal activity of this mosquito, however, varies within urban areas which might imply different transmission risk. In this work, we hypothesize that temporal differences in mosquito activity patterns are determined by local environmental conditions.

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  • Rapid urbanization in Sub-Saharan Africa is leading to increased malaria burden in cities like Kampala and Dar es Salaam, as socio-economic inequalities grow amid the shift of populations from rural to urban areas.
  • This study utilizes high-resolution satellite data and machine learning (Random Forest regressor) to analyze the spatial distribution of malaria prevalence (PfPR) in urban settings, focusing on factors like land use and population density.
  • Findings reveal significant variability in PfPR linked to informal settlements, with higher prevalence near breeding sites and urban agriculture, demonstrating clear risk disparities between poorer and wealthier neighborhoods.
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  • Tick-borne diseases in Europe, caused by various pathogens, have been increasing, highlighting the need for better understanding of their spread.
  • This study modeled nymph tick density and infection rates in five European countries, analyzing how land use and climatic factors affect tick populations.
  • Findings reveal that while tick abundance is influenced by climate, the density of infected ticks varies based on the specific pathogen and land usage, emphasizing the importance of ecological studies on tick-host interactions.
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We use a Species Distribution Modeling (SDM) approach along with Geographic Information Systems (GIS) techniques to examine the potential distribution of hantavirus pulmonary syndrome (HPS) caused by Andes virus (ANDV) in southern Argentina and, more precisely, define and estimate the area with the highest infection probability for humans, through the combination with the distribution map for the competent rodent host (Oligoryzomys longicaudatus). Sites with confirmed cases of HPS in the period 1995-2009 were mostly concentrated in a narrow strip (~90 km × 900 km) along the Andes range from northern Neuquén to central Chubut province. This area is characterized by high mean annual precipitation (~1,000 mm on average), but dry summers (less than 100 mm), very low percentages of bare soil (~10% on average) and low temperatures in the coldest month (minimum average temperature -1.

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We constructed a model to predict the potential distribution of Oligoryzomys longicaudatus, the reservoir of Andes virus (Genus: Hantavirus), in Argentina. We developed an extensive database of occurrence records from published studies and our own surveys and compared two methods to model the probability of O. longicaudatus presence; logistic regression and MaxEnt algorithm.

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