The use of satellite data in modeling population dynamics and prevalence of infection in the rodent reservoir of Junin virus

Porcasi, Ximena; Calderón, Gladys; Lamfri, Mario; Gardenal, Noemi C.; Polop, Jaime; Sabattini, Marta S.; Scavuzzo, Carlos Marcelo

doi:10.1016/j.ecolmodel.2005.01.005

Cited by 19 publications

(16 citation statements)

References 29 publications

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“…The endemic area of AHF currently encompasses more than 150.000 Km 2 (Enría and Pinheiro 2000;Polop et al 2007). However, it includes only a small portion of the known and potential total distributional ranges of C. musculinus (Mills and Childs 1998;Porcasi et al 2005;Polop et al 2007). AHF transmission risk may therefore expand, or at least modify substantially, in the future.…”

Section: Introductionmentioning

confidence: 99%

Environmental determinants of the small mammal assemblage in an agroecosystem of central Argentina: The role of Calomys musculinus

et al. 2010

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Agricultural intensification in the central region of Argentina has been accompanied by rodent assemblage changes, involving an increase in Calomys species densities. In particular, Calomys musculinus, the main reservoir of Junín virus (etiological agent of the Argentine Haemorrhagic Fever, AHF) selects field borders over crop-fields. Borders represent relatively-stable habitats within agroecosystems, otherwise highly human modified landscapes. In this article, we assessed the effect of environmental variables on rodent species occurrence and assemblage in the field borders of a pampean agroecosystem. Small rodent occurrence was examined for variation according to vegetation species composition, structure and productivity, using canonical ordination techniques. In a total of 72 crop-field borders of Có rdoba province, in spring, summer and autumn (2005)(2006), we captured 1041 rodents of 8 different species. Akodon azarae, Calomys venustus and C. musculinus were the dominant species of the assemblage, with the first two associated one another, while C. musculinus tended to be related to different environmental variables. We showed that rodent species associations were mediated by resources that changed seasonally, such as vegetation cover. Also, the strength and ''sign'' of the association between species seemed to be a consequence of different habitat preferences and activity patterns. Finally, the intra-annual population cycle seemed to influence the relation between species and habitat structure and, possibly, inter-specific competition for resources. Therefore, we suggest that less generalist species of the rodent assemblage, well adapted to linear habitats, may limit C. musculinus occurrence throughout the agroecosystem by habitat and spatial competition. Any action aimed to control AHF, and therefore C. musculinus population density, should exclude negative effects on coexisting species.

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Section: Introductionmentioning

confidence: 99%

Environmental determinants of the small mammal assemblage in an agroecosystem of central Argentina: The role of Calomys musculinus

et al. 2010

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“…Thus, hosts become infected at a rate bXY and die at a rate mY/t, where m is the ratio by which infection shortens life span (Kirchner and Roy 1999;Porcasi et al 2005). Laboratory studies have shown that Junin virus does not exhibit apparent signs of lethality on C. musculinus, regardless of the animals' age, inoculation route or dose (Sabattini et al 1977).…”

Section: Model Outline and Formmentioning

confidence: 96%

“…The model structure presented here is based on the models proposed by Kirchner and Roy (1999) and Porcasi et al (2005). These models considered the temporal dynamics of a single and genetically uniform host population infected by a single pathogen.…”

Section: Model Outline and Formmentioning

confidence: 99%

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Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model

Piacenza

Gomez

Simone

et al. 2011

International Journal of Pest Management

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We evaluate several management options for Calomys musculinus populations through the formulation and validation of a cohort structured model. Initially, a basic model was constructed and validated using field population data. Next, the model was altered to allow us to evaluate different management options. In general, basic model results were in agreement with field data, demonstrating that this model would be useful in describing aspects of corn mouse population dynamics. Restricting control measures to when mouse numbers reach high levels would be inadequate, because population numbers tend to increase in size after some years. In contrast, reducing vegetation cover in spring was more effective in reducing field population abundances. Despite some limitations, the model could be useful for evaluating the relationships between population dynamics and some biotic or physical environmental variables, and thus ensure more efficient use of resources in integrated pest management.

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“…Remote sensing has emerged as an important tool in the surveillance and forecasting of zoonotic infectious diseases (Wayant, Maldonado, Rojas de Arias, Cousiño, & Goodin, 2010), with satellite-derived landscape information related to small mammal-borne diseases such as leptospirosis (Herbreteau et al, 2006), junin virus (Porcasi et al, 2005), sin-nombre virus (Boone et al, 2000), and hantavirus (Glass et al, 2000;Goodin et al, 2006). Studies investigating the relationship between Em and landscape using remote sensing techniques in southern Gansu Province, China, have also previously identified strong links between landscape composition and HAE prevalence (Danson et al, 2004, Giraudoux, Raoul, Pleydell, et al, 2013b.…”

Section: Remote Sensing For Landscape-disease Studiesmentioning

confidence: 99%

Vegetation phenology and habitat discrimination: Impacts for E. multilocularis transmission host modelling

Marston

Giraudoux

Armitage

et al. 2016

Remote Sensing of Environment

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International audienceEchinococcus multilocularis (Em), a parasitic tapeworm, is responsible for a significant burden of human disease across continental Asia. Here, we use a time-series of MODIS 16-day 250 m Enhanced Vegetation Index (EVI) satellite data to quantify the seasonal vegetation dynamics across a study area in Serxu County, Sichuan Province, China, in relation to the presence of the Em intermediate host Ochotona curzoniae (plateau pika) and Ochotona cansus (Gansu pika) (here merged to Ochotona spp.). A series of derived phenological metrics are analysed using the random forests statistical method to determine the relative importance of seasonal vegetation characteristics. Results indicate negative relationships between Ochotona spp. presence and EVI showing a preference for low-biomass habitats. However, EVI values during green-up and senescence periods are also shown to be important, potentially resulting from improved detectability of low-biomass grassland habitats at these times. Improved detection of Ochotona spp. preferred habitats via time-series EVI imagery offers better understanding of the distributions of this Em host, and the potential for monitoring the changes in Ochotona spp. optimal habitat distributions resulting from landscape change. This could aid the identification of villages at increased risk of infection, enabling preventive strategies to be adopted

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The use of satellite data in modeling population dynamics and prevalence of infection in the rodent reservoir of Junin virus

Cited by 19 publications

References 29 publications

Environmental determinants of the small mammal assemblage in an agroecosystem of central Argentina: The role of Calomys musculinus

Environmental determinants of the small mammal assemblage in an agroecosystem of central Argentina: The role of Calomys musculinus

Providing management options to control corn mouse (Calomys musculinus) reservoir populations using a cohort structured model

Vegetation phenology and habitat discrimination: Impacts for E. multilocularis transmission host modelling

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