Lasantha Fernando

Lasantha Fernando

Researcher with interests in distributed systems, data-intensive systems, stream processing and data science

Publications

Predicting population-level socio-economic characteristics using Call Detail Records (CDRs) in Sri Lanka

Published in Houston, TX, USA, 2018

Prior work has shown that mobile network big data can be used as a high-frequency alternative data source to derive proxy measures that have strong predictive capacity to estimate census and poverty data in developing countries. Given that the observations from these studies can be dependent on local context and regional characteristics, we replicate this work targeting two regions in Sri Lanka

Recommended citation: Fernando, L., Surendra, A., Lokanathan, S., & Gomez, T. (2018, June). Predicting population-level socio-economic characteristics using Call Detail Records (CDRs) in Sri Lanka. In Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets (p. 1). ACM. http://lasanthafdo.github.io/files/dsmm-socio-economic.pdf

Predictive model for the dengue incidences in Sri Lanka using mobile network big data

Published in Kandy, Sri Lanka, 2017

Multiple studies in recent literature have shown that human mobility has a considerable effect on the importation of dengue to an immunologically dengue ‘naive’ regions. The purpose of this study is to validate whether this fact is applicable to dengue endemic regions as well as assess the impact of human mobility when developing predictive models for dengue incidence of a particular geographical region.

Recommended citation: Dharmawardana, K. G. S., Lokuge, J. N., Dassanayake, P. S. B., Sirisena, M. L., Fernando, M. L., Perera, A. S., & Lokanathan, S. (2017, December). Predictive model for the dengue incidences in Sri Lanka using mobile network big data. In Industrial and Information Systems (ICIIS), 2017 IEEE International Conference on (pp. 1-6). IEEE http://lasanthafdo.github.io/files/iciis-dengue-predictive-models.pdf

Impact of Human Mobility on Spread of Dengue in Sri Lanka

Published in Milan, Italy, 2017

Human mobility plays a significant role in spatio-temporal propagation of infectious diseases. But how much of an impact does human mobility have on propagating a dengue outbreak in a dengue endemic country such as Sri Lanka?

Recommended citation: Fernando, L., Perera, A. S., Lokanathan, S., Ghouse, A., & Tissera, H. (2017). Impact of Human Mobility on Spread of Dengue in Sri Lanka. In Book of Abstracts (Oral) of 5th International Conference on Scientific Analysis of Mobile Phone datasets (NetMob) (pp. 75–77). Milan, Italy http://lasanthafdo.github.io/files/netmob-cdr-dengue.pdf