# Systematic Nomination of COVID-19 Quarantine Facilities
###### Abstract  
This short communication explains the need for a clear method for the selection of COVID-19 quarantine hotels. It also lists available systematic methods that are usable for this aim. quarantine hotels; selection criteria; decision-making +
Footnote †: journal: Applied Stat. Immun. **Nonination of COVID-19 Quarantine Facilities**  
As of 4:18 p.m. CEST on 16 September 2021, there had been 226,236,577 confirmed cases of COVID-19 reported to the World Health Organization, with 4,654,548 deaths [1]. Still, quarantine is a means to limit infection transmission [2, 3]. If individuals suspect to have the disease or have recently returned from a risk area, they should stay in quarantine to limit the spread of the virus [4]. However, [PERSON] et al. [5] is alarming the global lack of enough skills to establish successful national quarantine facilities during the COVID-19 pandemic. In the time of the outbreak, people have reduced their travels, whether obligatory or voluntary, but still, some visits cannot be fully stopped due to the importance and/or urgency of the traveling motives. [PERSON] et al. [5] provide a checklist for quarantine decisions for these inbound travelers, as well as individuals in the community with a probable or verified disease but without a self-isolation possibility, though they missed providing a systematic way for the selection and nomination of these quarantine facilities. To the best of the author's knowledge, very few alternative scientific documents on this topic have been published. Quarantine facility is a new practice, mostly government-authorized hotels. They are mandatory places for those who need to stop over for a couple of days before they are allowed to enter the public, though their existence may also be attributable to other direct or indirect objectives, such as research-related concerns. The accommodation charge, if any, should be affordable for all users, also their offered services should be flexible in a considerable domain to satisfy different classes of users. Additionally, since these facilities host people with a likelihood of COVID-19 infection, they need to have essential medical aids plus fast and easy access to hospitals. Their hygiene, isolation, and layout are also important, so the cross-infection becomes minimal. Different countries may have a few other criteria to nominate these places, though very few authorities, if any, have explained their selecting methodology. It can be due to political, economic, and other concerns that some countries kept their COVID-19 quarantine selection process private. The selection of COVID-19 quarantine hotels is a very new concept, and it is still difficult to find relevant empirical studies exploring or even suggesting possible methodologies. Nonetheless, because the hospitality-related industries are in such a state as a result of the COVID-19 pandemic, being recognized as a quarantine hotel is a sure way to revitalize the business. Undoubtedly, in a lack of clear systematic methodologies, there are considerable risks of ineffectiveness, frauds, misuses, and unfairness. Thus, this letter tries to suggest a systematic approach for this listing goal. A mathematical prioritization capable of dealing with conflicting criteria is a solution. In operations research, alternative selection with multi-criteria is the chief aim of Multi-Criteria Decision-Making (MCDM) methods [6]. They are designed for listing, selection, or filtering sub-standard alternativeswith consideration of multiple decision criteria to reach multiple decision objectives [7]. MCDM is concerned with a broad class of issues, including a variety of attributes, criteria, and objectives, as presented with Figure 1 for the case of quarantine facilities selection and with \(x\) decision objectives, \(y\) decision criteria, and \(z\) decision options. While comparable in their ultimate goal of aiding with the final decision-making process, multiple criteria, multiple attribute, and multiple objective analyses diverge in their procedure.