ORCID Profile
0000-0003-2828-6090
Current Organisations
The University of Auckland
,
University of Western Australia
,
University of Colombo Faculty of Science
,
University of Colombo
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Publisher: MDPI
Date: 13-06-2023
Publisher: ACM
Date: 29-01-2019
Publisher: Cold Spring Harbor Laboratory
Date: 05-2020
DOI: 10.1101/2020.04.27.20082479
Abstract: In order to bring the new coronavirus pandemic in the country under control, the government of Sri Lanka implemented a set of control strategies including social distancing, quarantine, lockdowns, travel restrictions and isolation of villages. The aim of this study is to investigate the effectiveness of the overall control process with the aid of classical compartment models and network models. Our results indicate that the prevailing control strategies are effective with at least 50% contact rate reduction or with at least 40% isolation of the contact history of infected population.
Publisher: Hindawi Limited
Date: 18-01-2021
DOI: 10.1155/2021/6684271
Abstract: In order to recover the damage to the economy by the ongoing COVID-19 pandemic, many countries consider the transition from strict lockdowns to partial lockdowns through relaxation of preventive measures. In this work, we propose an optimal lockdown relaxation strategy, which is aimed at minimizing the damage to the economy, while confining the COVID-19 incidence to a level endurable by the available healthcare facilities in the country. In order to capture the transmission dynamics, we adopt the compartment models and develop the relevant optimization model, which turns out to be nonlinear. We generate approximate solutions to the problem, whereas our experimentation is based on the data on the COVID-19 outbreak in Sri Lanka.
Publisher: Hindawi Limited
Date: 26-09-2020
DOI: 10.1155/2020/3139867
Abstract: Wiener and Randić indices have long been studied in chemical graph theory as connection strength measures of graphs. Later, these indices were used in different fields such as network analysis. We consider two optimization problems related to these indices, with potential applications to network theory, in particular to epidemiological networks. Given a connected graph and a fixed total edge weight, we investigate how in idual weights must be assigned to edges, minimizing the connection strength of the graph. In order to measure the connection strength, we use the weighted Wiener index and a modified version of the ordinary Randić index. Wiener index optimization is linear, while Randić index optimization turns out to be both nonlinear and nonconvex. Hence, we adopt the technique of separable programming to generate solutions. We present our experimental results by applying relevant algorithms to several graphs.
Publisher: Springer Singapore
Date: 2021
Publisher: Springer Science and Business Media LLC
Date: 02-02-2019
Publisher: IOP Publishing
Date: 24-05-2016
Publisher: AGHU University of Science and Technology Press
Date: 27-09-2020
DOI: 10.7494/CSCI.2020.21.3.3819
Abstract: In this study we develop a multi-criteria model to identify dengue outbreak periods. To validate the model, we perform simulation using dengue transmission related data in the Western Province, Sri Lanka. Our results indicate that the developed model can be used to predict the dengue outbreak situation in a given region upto one month.
Publisher: IOP Publishing
Date: 08-06-2015
Publisher: Cold Spring Harbor Laboratory
Date: 09-06-2020
DOI: 10.1101/2020.06.08.20125583
Abstract: In order to recover the damage to the economy by the ongoing covid–19 pandemic, many countries consider the transition from strict lockdowns to partial lockdowns through relaxation of preventive measures. In this work, we propose an optimal lockdown relaxation strategy, which is aimed at minimizing the damage to the economy, while confining the covid–19 incidence to a level endurable by the available healthcare facilities in the country. In order to capture the transmission dynamics, we adopt the compartment models and develop the relevant optimization model, which turns out to be non–linear. We generate approximate solutions to the problem, whereas our experimentation is based on the data on the covid–19 outbreak in Sri Lanka.
Publisher: IOP Publishing
Date: 24-11-2014
No related grants have been discovered for Anuradha Mahasinghe.