Using SIR Model and Recurrence Formula to Predict the Spread of COVID-19 in Sambalpur: A Mathematical Study

S. Kapoor, Roushnee Naik
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Abstract

Corona Virus has spread across the globe and is creating havoc. Lockdown is being imposed worldwide depending on the number of cases. Everyone are advised to wear masks, follow social distancing, and use hand sanitizers to keep them safe. But all these precautions are not enough to curb the spread of the disease. People are still getting infected even after taking proper precautions and obeying the lockdown rule. We need to know in advance the approximate number of infected people so that we can devise better precautionary measures to curb the spread of the virus. So we use a simple SIR Model and solve it using basic differentiation and integration techniques and then use recurrence formula approach to predict the spread of COVID-19 in the city of Sambalpur of Odisha state. We compare the outcome of the model with the real time data and we arrive at the conclusion that the model is efficient in predicting the spread using the recurrence formula till the date 05/06/2021.
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用SIR模型和递归公式预测新冠肺炎在桑巴尔普尔传播的数学研究
冠状病毒已在全球蔓延,并正在造成严重破坏。根据病例数量,全球范围内正在实施封锁。建议每个人都戴口罩,保持社交距离,并使用洗手液来保证自己的安全。但所有这些预防措施都不足以遏制这种疾病的传播。即使采取了适当的预防措施并遵守了封锁规定,仍然有人被感染。我们需要事先知道受感染人数的大致数字,以便我们能够制定更好的预防措施,遏制病毒的传播。因此,我们使用一个简单的SIR模型,并使用基本的微分和积分技术对其进行求解,然后使用递归公式方法预测2019冠状病毒病在奥里萨邦桑巴尔普尔市的传播。我们将模型的结果与实时数据进行比较,得出的结论是,该模型可以有效地使用递归公式预测到2021年6月5日的价差。
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