Zeimes Caroline

Caroline ZeimesName: Zeimes Caroline

Email: caroline.zeimes@uclouvain.be

EDENext Group membership: Modelling group (MBD)

Supervisor or Team Leader: Vanwambeke Sophie

Institution: UCL (Université Catholique de Louvain)

Member of project since: mid-August 2011

Short description of project activities:

In progress:

  • Hantavirus in Sweden: spatial modelling of the environmental factors that affect the human disease cases on a landscape scale (binomial logistic regression, Boyce method, MaxEnt); data provided by Olsson Gert

  • Aedes albopictus in Rome: spatial modelling of the distribution of mosquitoes on the campus of Lasapienza; partnership with Cianci Daniela (PhD from the University of Utrecht)

  • Hantavirus in Europe: identifying similarities and differences in risk factors across Europe (production of maps)

Main skills:

GIS: ArcGis, SAGA

Statistical and ecological modelling: R, MaxEnt, NetLogo, SAS

Landscape structure analysis: Fragstat

Are you willing to help other colleagues in EDENext, and if so in what fields or activities:

Yes

Modelling zoonotic diseases in humans: comparison of methods for hantavirus in Sweden

Submitted by SpatialDataSite... on

Because their distribution usually depends on the presence of more than one species, modelling zoonotic diseases in humans differs from modelling individual species distribution even though the data are similar in nature. Three approaches can be used to model spatial distributions recorded by points: based on presence/absence, presence/available or presence data. Here, we compared one or two of several existing methods for each of these approaches. Human cases of hantavirus infection reported by place of infection between 1991 and 1998 in Sweden were used as a case study.

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