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Multi-criteria recommender system model for lockdown decision of Covid-19

Published: 30 July 2021 Publication History

Abstract

A lockdown is an appropriate method to suppress the spread of COVID-19 in a region. However, apart from the spread of COVID-19, it also affects various aspects and sectors. Therefore, a lockdown decision for a region must go through a careful planning before being finalized. There are many criteria to be considered in a lockdown decision, among them are the number of positive cases, health facilities and demographic situation in an area. This article will discuss a recommender system model that may assist the lockdown decision in a region by considering several criteria originating from multiple databases. in this model had two kinds of inputs, namely internal and external databases. In this case, Internal database is reproduction number of covid-19 case in West Java. External Database is elderly age number ratiom health facility number ratio, nurse ratio and medical worker ratio (specialists and general practitioners), beds in health facilities and population density. The outputs of this method were decisions whether to implement lockdown or new normal for a region in accordance of predetermined parameters. The results of this model can be used for the government in formulating strategies to reduce the number of spread of Covid-19 in terms of determining which areas should apply lockdown.

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Cited By

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  • (2024)Text Mining for Recommendation Systems/Expert Systems in Health DomainText Mining Approaches for Biomedical Data10.1007/978-981-97-3962-2_19(403-409)Online publication date: 4-Sep-2024
  • (2023)Outranking Relations based Multi-criteria Recommender System for Analysis of Health Risk using Multi-objective Feature Selection ApproachData & Knowledge Engineering10.1016/j.datak.2023.102144145:COnline publication date: 1-May-2023
  • (2022)Health Recommender Systems Development, Usage, and Evaluation from 2010 to 2022: A Scoping ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph19221511519:22(15115)Online publication date: 16-Nov-2022
  • Show More Cited By

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cover image ACM Other conferences
ICSCA '21: Proceedings of the 2021 10th International Conference on Software and Computer Applications
February 2021
325 pages
ISBN:9781450388825
DOI:10.1145/3457784
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 July 2021

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Author Tags

  1. Recommender system
  2. covid-19
  3. lockdown
  4. multicriteria analysis
  5. multiple databases

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  • Research-article
  • Research
  • Refereed limited

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  • LPDP (Indonesia Endowment Fund for Education), Ministry of Finance, Republic Indonesia

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ICSCA 2021

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Cited By

View all
  • (2024)Text Mining for Recommendation Systems/Expert Systems in Health DomainText Mining Approaches for Biomedical Data10.1007/978-981-97-3962-2_19(403-409)Online publication date: 4-Sep-2024
  • (2023)Outranking Relations based Multi-criteria Recommender System for Analysis of Health Risk using Multi-objective Feature Selection ApproachData & Knowledge Engineering10.1016/j.datak.2023.102144145:COnline publication date: 1-May-2023
  • (2022)Health Recommender Systems Development, Usage, and Evaluation from 2010 to 2022: A Scoping ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph19221511519:22(15115)Online publication date: 16-Nov-2022
  • (2022)Multi-Criteria Ranking: Next Generation of Multi-Criteria Recommendation FrameworkIEEE Access10.1109/ACCESS.2022.320182110(90715-90725)Online publication date: 2022
  • (2021)Minimum threshold determination method based on dataset characteristics in association rule miningJournal of Big Data10.1186/s40537-021-00538-38:1Online publication date: 25-Nov-2021
  • (2021)Adaptive Rule from the Philosophy of Science Viewpoint2021 Sixth International Conference on Informatics and Computing (ICIC)10.1109/ICIC54025.2021.9632962(1-7)Online publication date: 3-Nov-2021

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