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Investigating Spatio- Temporal trends of dengue infections on Curaçao from 1995-2016

Roelofs, B.J. (2020) Investigating Spatio- Temporal trends of dengue infections on Curaçao from 1995-2016. Master thesis.

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Abstract

The dengue virus is a major cause of disease around the world, with over 390 million infections annually and over 40% of the world population being at risk at this moment. Curaçao has seen different pandemics over the last 25 years, which are investigated in this study. This study aims to contribute knowledge on the effect of geographical and temporal processes on the number of dengue cases, which may contribute to preventing dengue cases in the future. Data on 6572 cases of dengue infections on Curaçao from the period of 1995 until 2016 were used. Statistical analysis of the distribution of cases using Moran’s I identified the presence of spatial autocorrelation, with the Moran’s statistic of 0,06 (p<0,01) for the total study period. The majority of cases was recorded in highly populated areas and there was a relationship found between population density and dengue cases. Temporal analysis discovered that cases mostly occurred from October to January, which is the rainy season. Additionally, lower average temperatures, more precipitation and a lower sea surface temperature appeared to be related with more dengue cases. This effect has a direct relationship to La Niña, which is the cooling phase of El Niño Southern Oscillation.

Item Type: Thesis (Master)
Degree programme: Spatial Sciences (Research)
Supervisor: Vos, D. and Vincenti Gonzalez, M.F.
Date Deposited: 18 Aug 2020 19:59
Last Modified: 18 Aug 2020 19:59
URI: https://frw.studenttheses.ub.rug.nl/id/eprint/3322

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