A new population model for urban infestations
Impacto
Scholar |
Otros documentos de la autoría: Calatayud, Julia; Jornet, Marc; Mateu, Jorge; Pinto, Carla M. A.
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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INVESTIGACIONMetadatos
Título
A new population model for urban infestationsFecha de publicación
2023-10-10Editor
ElsevierISSN
0960-0779Cita bibliográfica
Julia Calatayud, Marc Jornet, Jorge Mateu, Carla M.A. Pinto, A new population model for urban infestations, Chaos, Solitons & Fractals, Volume 175, Part 1, 2023, 113939.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S0960077923008408#d1e797Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Cockroaches and rats sightings | Continuous dynamical system | Ecological modeling | Parameter estimation | Differential equations | Dynamical system | Health risks | Parameter estimation | Uncertainty analysis | Ecological modeling | Environmental threats | Health economics | Intervention strategy | Parameters estimation | Population model | Social and environmental
Resumen
The spread of rodents and insects in cities, in particular in summer periods, poses significant health, economic, social and environmental threats. The analysis of incidence and identification of seasonal and weather ... [+]
The spread of rodents and insects in cities, in particular in summer periods, poses significant health, economic, social and environmental threats. The analysis of incidence and identification of seasonal and weather determinants are crucial for addressing intervention strategies. In this context, we investigate the occurrence of rats and cockroaches infestations in the city of Madrid, Spain, with differential equation models. Birth–death fluxes, sine–cosine waves and temperature conform the mechanistic nature of the models. Available data on citizen-reported sightings from 2010 until 2013 are fitted by parameter calibration and uncertain-error measurement. Numerical simulations show that the time series are adequately explained by the proposed models. This strongly suggests that the models can be used to predict future infestation dynamics, which can guide health policy measures. [-]
Publicado en
Chaos, Solitons & Fractals Volume 175, Part 1, October 2023Entidad financiadora
Fundação para a Ciência e a Tecnologia | Generalitat Valenciana | Ministerio de Ciencia e Innovación | Centro de Matemática Universidade do Porto | Agencia Estatal de Investigación
Código del proyecto o subvención
UIDB/00144/2020 | AICO/2019/198 | MCIN/AEI/10.13039/501100011033, PID2019-107392RB-I00
Derechos de acceso
© 2023 Elsevier Ltd
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info:eu-repo/semantics/embargoedAccess
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Aparece en las colecciones
- MAT_Articles [761]