Research Article Treatment of COVID-19 Patients Using Some New Topological Indices Shahid Amin , 1 M. A. Rehman , 1 Amir Naseem , 1 Ilyas Khan , 2 and Mulugeta Andualem 3 1 Department of Mathematics, University of Management and Technology, Lahore 54770, Pakistan 2 Department of Mathematics, College of Science Al-Zulfi, Majmaah University, Al-Majmaah, Majmaah, 11952, Saudi Arabia 3 Department of Mathematics, Bonga University, Bonga, Ethiopia Correspondence should be addressed to Amir Naseem; amir.kasuri89@gmail.com and Mulugeta Andualem; mulugetaandualem4@gmail.com Received 9 February 2022; Revised 9 March 2022; Accepted 25 March 2022; Published 9 May 2022 Academic Editor: Haidar Ali Copyright © 2022 Shahid Amin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. COVID-19 is causing havoc to human health and the world economy right now. It is a single standard positive-sense RNA virus which is transferred by inhalation of a viral droplet. Its genome forms four structural proteins such as nucleocapsid protein, membrane protein, spike protein, and envelop protein. The capsid of coronavirus is a protein shell within which a positive strand of RNA is present which enables the virus to control the machinery of human cells. It has several variants, e.g., SARS, MERS, and now a new variant identified in 2019, which is a novel coronavirus that causes novel coronavirus disease (COVID- 19). COVID-19 is a novel coronavirus disease that originally arose in Wuhan, China, and quickly spread around the world. Clinically, we identified the virus presence by a PCR-based test. Preventive measures and vaccination are the only treatment against coronavirus. Some of these include Remdesivir (GS-5734), Chloroquine, Hydroxychloroquine, and Theaflavin. A topological index (TI) is a mathematical function that assigns a numerical value to a (molecular) graph and predicts many physical, chemical, biological, thermodynamical, and structural features of that network. In this work, we will calculate a new topological index, namely, the first and second Gourava and Hyper-Gourava indices for the molecular graph of Remdesivir (GS-5734), Chloroquine, Hydroxychloroquine, and Theaflavin. We also plotted our computed results to examine how they were affected by the parameters involved. These findings could contribute in the development of new COVID-19 therapy options. 1. Introduction Coronavirus is a family of viruses that cause upper respira- tory infection in humans. Their incident rate is higher in winter or in moderate temperature. Historically, epidemics of various infectious diseases have killed millions of people in the last several centuries. The plague, flu, and cholera created the most frightening pandemics. It began in a seafood market in Wuhan and has been expanded throughout China and abroad [1]. There were 433,139,235 confirmed cases as of March 01, 2022, with 5,939,137 deaths globally (as per the WHO report). The new corona virus (COVID-19) is a beta coronavirus with the same genetic sequence and viral structure as the corona- viruses that cause SARS and MERS-CoV (Figure 1). A useful drug discovery experiment is to see if existing antiviral drugs are effective in treating similar viral infec- tions. In vitro testing revealed that certain existing antiviral medicines were successful in preventing infection of 2019- nCoV. [2–6]. Remdesivir (GS5734), Chloroquine, Hydroxy- chloroquine, and Theaflavin are some of these antiviral drugs. Remdesivir is a broad-spectrum nucleotide analogue medication developed to prevent Ebola virus infection [7–9]. In vitro, it is also very effective at preventing 2019- nCoV [5]. The clinical trial is now taking place at many hospitals, and efficacy testing is pending. Chloroquine is a broad-spectrum antiviral medication that can be used to treat malaria and autoimmune diseases [10, 11]. A number of random controlled trials have looked into the usefulness Hindawi Journal of Chemistry Volume 2022, Article ID 7309788, 10 pages https://doi.org/10.1155/2022/7309788