Visualizing Malaria Spread Under Climate Variability
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
In order to better control and prevent the infectious diseases, measures of vulnerability and risk to increased infectious disease outbreaks have been explored. Research investigating possible links between variations in climate and transmission of infectious diseases has led to a variety of predictive models for estimating the future impact of infectious disease under projected climate change. Underlying all of these approaches is the connection of multiple data sources and the need for computational models that can capture the spatio-temporal dynamics of emerging infectious diseases and climate variability, especially as the impact of climate variability on the land surface is becoming increasingly critical in predicting the geo-temporal evolution of infectious disease outbreaks. This paper presents an initial visualization prototype that combines data from population and climate simulations as inputs to a patch-based mosquito spread model for analyzing potential disease spread vectors and their relationship to climate variability.
Description
@inproceedings{10.2312:envirvis.20161104,
booktitle = {Workshop on Visualisation in Environmental Sciences (EnvirVis)},
editor = {Karsten Rink and Ariane Middel and Dirk Zeckzer},
title = {{Visualizing Malaria Spread Under Climate Variability}},
author = {Liang, Xing and Aggarwal, Rajat and Cherif, Alhaji and Gumel, Abba and Mascaro, Giuseppe and Maciejewski, Ross},
year = {2016},
publisher = {The Eurographics Association},
ISSN = {-},
ISBN = {978-3-03868-018-5},
DOI = {10.2312/envirvis.20161104}
}