Scientific Assessment and Sorting of Topological Parameters Affecting Time in Recovering from COVID-19

Prem Chand Vashist; Rahul Vashist; Ashish Tripathi

doi:10.52756/ijerr.2023.v30.033

Prem Chand Vashist Department of Information Technology, G. L. Bajaj Institute of Technology and Management, Greater Noida, India https://orcid.org/0000-0002-5350-4064
Rahul Vashist Department of Electronics and Communication, NSIT, New Delhi, India https://orcid.org/0000-0002-5350-4064
Ashish Tripathi Department of Information Technology, G. L. Bajaj Institute of Technology and Management, Greater Noida, India https://orcid.org/0000-0002-1988-4702

DOI: https://doi.org/10.52756/ijerr.2023.v30.033

Keywords: Coronavirus, Recovery rate, SARS - COV-2, Topological Parameters, Viruses

Abstract

Coronavirus disease 2019 is a new infectious respiratory disease as named by the World Health Organization. This virus is affecting different individuals in diverse manners. Consequently, studies are going on to identify the factors and parameters disturbing predominantly. According to various studies, the immunity of a person determines the effect of the virus on that individual's health. Thus, immunity is determined by multiple factors like climate, population, geographical location, sanitation facilities. In existing studies, the effect of various climatic factors, such as temperature, relative humidity of diverse countries and areas, on COVID-19 spread is taken. To extend these studies, this paper is an effort to consider almost all the topological parameters of significant countries and different states of India for analysing their effects on the recovery rate due to COVID-19. Finally, these parameters are ranked /sorted as per their impact on recovery rates.

References

Alimohamadi, Y., Sepandi, M., Taghdir, M., & Hosamirudsari, H. (2020). Determine the most common clinical symptoms in COVID-19 patients: a systematic review and meta-analysis. Journal of Preventive Medicine and Hygiene, 61(3), E304. https://doi.org/10.15167/2421-4248/jpmh2020.61.3.1530.

Arias-Reyes, C., Zubieta-DeUrioste, N., Poma-Machicao, L., Aliaga-Raduan, F., Carvajal-Rodriguez, F., Dutschmann, M., Schneider-Gasser, E.M., Zubieta-Calleja, G., & Soliz, J., (2020). Does the pathogenesis of SARS-CoV-2 virus decrease at high-altitude? Respiratory Physiology & Neurobiology, 277, 103443. https://doi.org/10.1016/j.resp.2020.103443.

Borak, J. (2020). Airborne transmission of COVID-19. Occupational Medicine, 70(5), 297-299. https://doi.org/10.1093/occmed/kqaa080.

Calvo, M.S. (2020). High-altitude living and vitamin D: factors associated with viral risk? The American Journal of Clinical Nutrition, 112(4), 915-916. https://doi.org/10.1093/ajcn/nqaa250.

Castagnetto, J.M., Segovia-Juarez, J., & Gonzales, G.F. (2020). COVID-19 infections do not change with increasing altitudes from 1,000 to 4,700 m. High Altitude Medicine & Biology, 21(4), 428-430. https://doi.org/10.1089/ham.2020.0173.

Gupta, A., Banerjee, S., & Das, S. (2020a). Significance of geographical factors to the COVID-19 outbreak in India. Modeling Earth Systems and Environment, 6, 2645-2653. https://doi.org/10.1007/s40808-020-00838-2.

Gupta, A., Banerjee, S., & Das, S. (2020b). Significance of geographical factors (climatic, topographic and social) to the COVID-19 outbreak in India. https://doi.org/10.31219/osf.io/9gqpm.

Huamaní, C., Velásquez, L., Montes, S., & Miranda-Solis, F. (2020). Propagation by COVID-19 at high altitude: Cusco case. Respiratory Physiology & Neurobiology, 279, 103448. https://doi.org/10.1016/j.resp.2020.103448.

Jayaweera, M., Perera, H., Gunawardana, B., & Manatunge, J. (2020). Transmission of COVID-19 virus by droplets and aerosols: A critical review on the unresolved dichotomy. Environmental Research, 188, 109819. https://doi.org/10.1016/j.envres.2020.109819.

Jeanne, L., Bourdin, S., Nadou, F., & Noiret, G. (2023). Economic globalization and the COVID-19 pandemic: global spread and inequalities. GeoJournal, 88(1), 1181-1188.

Jha, S., Goyal, M.K., Gupta, B., & Gupta, A.K. (2021). A novel analysis of COVID 19 risk in India incorporating climatic and socioeconomic Factors. Technological Forecasting and Social Change, 167, 120679. https://doi.org/10.1016/j.techfore.2021.120679.

Joshi, R., Tamang, N.D., Sambhav, K., Mehra, C., Bisht, B.S., & Singh, S.P. (2023). Temperature Lapse Rate in Climatically Different Himalayan Treeline Environments: Regional Analysis of Patterns, Seasonality, and Variability. Singapore: Springer Nature Singapore. In Ecology of Himalayan Treeline Ecotone. pp. 51-73. https://doi.org/10.1007/978-981-19-4476-5_3.

Karia, R., Gupta, I., Khandait, H., Yadav, A., &Yadav, A. (2020). COVID-19 and its modes of transmission. SN Comprehensive Clinical Medicine, 2, 1798-1801. https://doi.org/10.1007/s42399-020-00498-4.

Lai, C.C., Liu, Y.H., Wang, C.Y., Wang, Y.H., Hsueh, S.C., Yen, M.Y., Ko, W.C., & Hsueh, P.R. (2020). Asymptomatic carrier state, acute respiratory disease, and pneumonia due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): Facts and myths. Journal of Microbiology, Immunology and Infection, 53(3), 404-412. https://doi.org/10.1016/j.jmii.2020.02.012.

Li, Y. (2021). Basic routes of transmission of respiratory pathogens—A new proposal for transmission categorization based on respiratory spray, inhalation, and touch. Indoor Air., 31(1), 3. https://doi.org/10.1111/ina.12786.

Medicine, T.L.R. (2020). COVID-19 transmission—up in the air. The Lancet. Respiratory Medicine, 8(12), 1159. https://doi.org/10.1016/S2213-2600(20)30514-2.

Mondal, S., De, N., & Pal, A. (2022). Topological indices of some chemical structures applied for the treatment of COVID-19 patients. Polycyclic Aromatic Compounds, 42(4), 1220-1234. https://doi.org/10.1080/10406638.2020.1770306.

Nalbandian, A., Desai, A.D., & Wan, E.Y. (2023). Post-COVID-19 condition. Annual Review of Medicine, 74, 55-64. https://doi.org/10.1146/annurev-med-043021-030635.

Nath, A.J., Kumar, R., Devi, N.B., Rocky, P., Giri, K., Sahoo, U.K., Bajpai, R.K., Sahu, N. and Pandey, R., 2021. Agroforestry land suitability analysis in the Eastern Indian Himalayan region. Environmental Challenges, 4, 100199. https://doi.org/10.1016/j.envc.2021.100199.

Pun, M., Turner, R., Strapazzon, G., Brugger, H., & Swenson, E.R. (2020). Lower incidence of COVID-19 at high altitude: facts and confounders. High altitude medicine & Biology, 21(3), 217-222. https://doi.org/10.1089/ham.2020.0114.

Samaddar, A., Gadepalli, R., Nag, V.L. and Misra, S. (2020). The enigma of low COVID-19 fatality rate in India. Frontiers in Genetics, 11, 854. https://doi.org/10.3389/fgene.2020.00854.

Segovia-Juarez, J., Castagnetto, J.M., & Gonzales, G.F., 2020. High altitude reduces infection rate of COVID-19 but not case-fatality rate. Respiratory Physiology & Neurobiology, 281, 103494, https://doi.org/10.1016/j.resp.2020.103494.

Singh, O., Bhardwaj, P., & Kumar, D. (2021). Association between climatic variables and COVID-19 pandemic in National Capital Territory of Delhi, India. Environment, Development and Sustainability, 23(6), 9514-9528. https://doi.org/10.1007/s10668-020-01003-6.

Skutsch, M., Dobler, C., McCall, M.B., Ghilardi, A., Salinas, M., McCall, M.K., & Fenner Sanchez, G. (2020). The association of UV with rates of COVID-19 transmission and deaths in Mexico: the possible mediating role of vitamin D. MedRxiv, 2020-05. https://doi.org/10.1101/2020.05.25.20112805.

Tang, J.W., Marr, L.C., Tellier, R., & Dancer, S.J. (2023). Airborne transmission of respiratory viruses including severe acute respiratory syndrome coronavirus 2. Current Opinion in Pulmonary Medicine, 29(3), 191-196. https://doi.org/10.1097/MCP.0000000000000947.

Tripathi, A., Jain, A., Mishra, K.K., Pandey, A.B. and Vashist, P.C. (2020). MCNN: A Deep Learning Based Rapid Diagnosis Method for COVID-19 from the X-ray Images. Rev. d'Intelligence Artif., 34(6), 673-682. https://doi.org/10.18280/ria.340601.

Wang, T., Du, Z., Zhu, F., Cao, Z., An, Y., Gao, Y., & Jiang, B. (2020). Comorbidities and multi-organ injuries in the treatment of COVID-19. The Lancet, 395(10228), e52. https://doi.org/10.1016/S0140-6736(20)30558-4.

Wilson, N., Corbett, S., & Tovey, E., (2020). Airborne transmission of covid-19. BMJ., 370. https://doi.org/10.1136/bmj.m3206.

World Health Organization. (2023). COVID-19 weekly epidemiological update, edition 134, 16 March 2023. https://apps.who.int/iris/bitstream/handle/10665/366534/nCoV-weekly-sitrep16Mar23-eng.pdf?sequence=1.

Yilmazkuday, H. (2023). COVID-19 effects on the S&P 500 index. Applied Economics Letters, 30(1), 7-13. https://doi.org/10.1080/13504851.2021.1971607.