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Dengue

Universidad Javeriana model

Lead modeller:  Zulma Cucunubá

Link to all modelling group members

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Institution(s): Universidad Javeriana

Brief description of model:

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This model is currently in development. The model will support the development and implementation of i) data collation and analytics on vector-borne infections in Latin America and ii) development and implementation of R code to automatically import case data from public websites and epidemiological analysis and reports including the development of various R packages such as seforoi, sivirep development of catalytic models to analyse high-resolution dengue case-notification data from across Colombia and serological data against arboviruses using refined and computationally efficient Bayesian inferential methods and vaccineff.

Key publication(s)

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Charniga K, Cucunubá ZM, Mercado M, Prieto F, Ospina M, Nouvellet P, Donnelly CA. Spatial and temporal invasion dynamics of the 2014-2017 Zika and chikungunya epidemics in Colombia. PLoS Comput Biol. 2021 ​

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Charniga K, Cucunubá ZM, Walteros DM, Mercado M, Prieto F, Ospina M, Nouvellet P, Donnelly CA. Estimating Zika virus attack rates and risk of Zika virus-associated neurological complications in Colombian capital cities with a Bayesian model. Pub Med. 2022

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Caicedo EY, Charniga K, Rueda A, Dorigatti I, Mendez Y, Hamlet A, Carrera JP, Cucunubá ZM. The epidemiology of Mayaro virus in the Americas: A systematic review and key parameter estimates for outbreak modelling. PLoS Negl Trop Dis. 2021

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Ledien J, Cucunubá ZM, Parra-Henao G, Rodríguez-Monguí E, Dobson AP, Basáñez MG, Nouvellet P. Spatiotemporal variations in exposure: Chagas disease in Colombia as a case study. BMC Med Res Methodol. 2022 

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Model code (where available):

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Imperial dengue model

Lead modeller:  Ilaria Dorigatti

Link to all modelling group members

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Institution(s): Imperial College London

Brief description of model:

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To be updated.

Key publication(s)

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Model code (where available):

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