Multiscale Analysis and Modelling of Aedes aegyti Population Spatial Dynamics
| Autor: | Lana, Raquel M., Carneiro, Tiago G. S., Honório, Nildimar A., Codeço, Cláudia T. |
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| Přispěvatelé: | CNPq, UFOP |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: | |
| Zdroj: | Journal of Information and Data Management; Vol 2 No 2 (2011): Journal of Information and Data Management; 211 Journal of Information and Data Management; v. 2 n. 2 (2011): Journal of Information and Data Management; 211 Journal of Information and Data Management; v. 2, n. 2 (2011): Journal of Information and Data Management; 211 |
| ISSN: | 2178-7107 |
| Popis: | Population dynamic models requires the evaluation of the best scale of analysis. This work analyses three spatial scales in the context of the mosquito Aedes aegypti, main vector of dengue fever. One scale is the neighborhood, the others scales are the census tract and the lot. A geographical database was developed including point maps with trap locations, number of eggs collected per trap per week, polygons of census tracts, census data, among others. For simulation purposes, a layer of regular cells (10 x 10 meters) was created to store the model’s inputs and outputs. A population dynamic model with temperature as input variable was parameterized and ?tted to the neighborhood and census tract data. For the lot level, an allocation procedure was developed as the spatial resolution was higher than the data resolution. This procedure couples the population dynamic model with a kernel density map. Results indicate that at the neighborhood level, the population model captured well the overall pattern with lower mosquito densityduring the cold season and larger during the warm season. However, in the ?first warm season, two peaks did not ?ot well, suggesting the importance of investigating the role of other variables in the dynamics of Aedes aegypti. At the census tract level, we found no evidence of spatial clustering. At the lot level, the allocation model represented well the overall summer to winter variation in hotspot intensity. The cost of vector surveillance is high and the procedures proposed here can be used to design optimized control strategies and activities. |
| Databáze: | OpenAIRE |
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