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

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.