Abstract:
This paper discusses about predicting Dengue outbreaks
in Sri Lanka using heterogeneous data sets: Mobile
Network Big data and epidemiological data. Up to now, Dengue
epidemiological prediction was largely done using the past Dengue
cases and weather data. However, very recently it was discovered
that infection can propagate through humans, where an infected
human travels to a vulnerable area and mosquitoes of that area
will bite him, and contract and spread the virus. Hence this
research explores the potential of incorporating human mobility,
derived through mobile network data in predicting Dengue
propagation. This paper presents the various data sources, how
the data fusion was conducted and how the fused data was fed
into the model and the results obtained and a discussion thereof,
including the potential of extending the research.
Citation:
M. P. A. R. Abeyrathna et al., "Dengue propagation prediction using human mobility," 2016 Moratuwa Engineering Research Conference (MERCon), 2016, pp. 156-161, doi: 10.1109/MERCon.2016.7480132.