Fuzzy Modelling of Clinical and Epidemiological Factors for COVID-19

Poonam Mittal, Monika Mangla, Nonita Sharma, Reena, Suneeta Satpathy, Sachi Nandan Mohanty

Source Title: International Journal of System Dynamics Applications (IJSDA)11(1)

ISSN: 2160-9772|EISSN: 2160-9799|EISBN13: 9781683182702|DOI: 10.4018/IJSDA.307566

MLA

Mittal, Poonam, et al. "Fuzzy Modelling of Clinical and Epidemiological Factors for COVID-19." IJSDA vol.11, no.1 2022: pp.1-16. http://doi.org/10.4018/IJSDA.307566

APA

Mittal, P., Mangla, M., Sharma, N., Reena, Satpathy, S., & Mohanty, S. N. (2022). Fuzzy Modelling of Clinical and Epidemiological Factors for COVID-19. International Journal of System Dynamics Applications (IJSDA), 11(1), 1-16. http://doi.org/10.4018/IJSDA.307566

Chicago

Mittal, Poonam, et al. "Fuzzy Modelling of Clinical and Epidemiological Factors for COVID-19," International Journal of System Dynamics Applications (IJSDA) 11, no.1: 1-16. http://doi.org/10.4018/IJSDA.307566

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Abstract

During this pandemic outbreak of COVID-19, the whole world is getting severely affected in respect of population health and economy. This novel virus has brought the whole world including the most developed countries to a standstill in a very short span like never before. The prime reason for this unexpected outburst of COVID-19 is lack of effective medicine and lack of proper understanding of the influencing factors. Here, the authors aim to find the effect of epidemiological factors that influence its spread using a fuzzy approach. For the same, a total of nine factors have been considered which are classified into risk and preventive factors. This fuzzy model supports to understand and evaluate the impact of these factors on the spread of COVID-19. Also, the model establishes a basis for understanding the effect of risk factors on preventive factors and vice versa. It is worth mentioning that this is the first attempt to analyze the effect of clinical and epidemiological factors with respect to COVID-19 using a fuzzy approach.