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Artificial Intelligence framework for threat assessment and containment for COVID-19 and future epidemics while mitigating the socioeconomic impact to women, children, and underprivileged groups Cover

Artificial Intelligence framework for threat assessment and containment for COVID-19 and future epidemics while mitigating the socioeconomic impact to women, children, and underprivileged groups

Open Access
|Nov 2022

Authors

G. Ilangarathna

ilangarathna.g@eng.pdn.ac.lk

University of Peradeniya

H. Weligampola

harshana.w@eng.pdn.ac.lk

University of Peradeniya

Y. Ranasinghe

e14273@eng.pdn.ac.lk

University of Peradeniya

E. Attygalla

ea01321@surrey.ac.uk

Faculty of Engineering and Physical Sciences, University of Surrey

R. Godaliyaddha

roshangodd@ee.pdn.ac.lk

University of Peradeniya

V. Herath

vijitha@eng.pdn.ac.lk

University of Peradeniya

P. Ekanayake

mpb@ee.pdn.ac.lk

University of Peradeniya

S.Y. Ekanayake

syatigammana@yahoo.com

Faculty of Arts, University of Peradeniya

M. Pinnawela

mallikap@pdn.ac.lk

Faculty of Arts, University of Peradeniya

S. Dharmaratne

samathd@pdn.ac.lk

Faculty of Medicine, University of Peradeniya

G. Tilakaratne

ganga@ips.lk

Institute of Policy Studies, Colombo

J. Ekanayake

ekanayakej@eng.pdn.ac.lk

Faculty of Engineering, University of Peradeniya
Language: English
Page range: 251 - 262
Published on: Nov 10, 2022
Published by: National Science Foundation of Sri Lanka
In partnership with: Paradigm Publishing Services

© 2022 G. Ilangarathna, H. Weligampola, Y. Ranasinghe, E. Attygalla, R. Godaliyaddha, V. Herath, P. Ekanayake, S.Y. Ekanayake, M. Pinnawela, S. Dharmaratne, G. Tilakaratne, J. Ekanayake, published by National Science Foundation of Sri Lanka
This work is licensed under the Creative Commons License.