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Mathematical Modelling to Assess the Impact of Lockdown on COVID-19 Transmission in India: Model Development and Validation.

评估锁定对印度新型冠状病毒肺炎传播影响的数学建模: 模型开发和验证。

  • 影响因子:0
  • DOI:10.2196/19368
  • 作者列表:"Ambikapathy B","Krishnamurthy K
  • 发表时间:2020-05-07
Abstract

BACKGROUND:The World Health Organization has declared the novel coronavirus disease (COVID-19) to be a public health emergency; at present, India is facing a major threat of community spread. We developed a mathematical model for investigating and predicting the effects of lockdown on future COVID-19 cases with a specific focus on India. OBJECTIVE:The objective of this work was to develop and validate a mathematical model and to assess the impact of various lockdown scenarios on COVID-19 transmission in India. METHODS:A model consisting of a framework of ordinary differential equations was developed by incorporating the actual reported cases in 14 countries. After validation, the model was applied to predict COVID-19 transmission in India for different intervention scenarios in terms of lockdown for 4, 14, 21, 42, and 60 days. We also assessed the situations of enhanced exposure due to aggregation of individuals in transit stations and shopping malls before the lockdown. RESULTS:The developed model is efficient in predicting the number of COVID-19 cases compared to the actual reported cases in 14 countries. For India, the model predicted marked reductions in cases for the intervention periods of 14 and 21 days of lockdown and significant reduction for 42 days of lockdown. Such intervention exceeding 42 days does not result in measurable improvement. Finally, for the scenario of "panic shopping" or situations where there is a sudden increase in the factors leading to higher exposure to infection, the model predicted an exponential transmission, resulting in failure of the considered intervention strategy. CONCLUSIONS:Implementation of a strict lockdown for a period of at least 21 days is expected to reduce the transmission of COVID-19. However, a further extension of up to 42 days is required to significantly reduce the transmission of COVID-19 in India. Any relaxation in the lockdown may lead to exponential transmission, resulting in a heavy burden on the health care system in the country.

摘要

背景: 世界卫生组织已将新型冠状病毒 (新型冠状病毒肺炎) 宣布为突发公共卫生事件,目前印度正面临社区蔓延的重大威胁。我们开发了一个数学模型,用于调查和预测锁定对未来新型冠状病毒肺炎案件的影响,特别关注印度。 目的: 这项工作的目的是开发和验证一个数学模型,并评估各种封锁情景对印度新型冠状病毒肺炎传播的影响。 方法: 通过合并 14 个国家的实际报告病例,开发了一个由常微分方程框架组成的模型。验证后,应用该模型预测印度不同干预方案在锁定 4 、 1 4 、 21 、 4 2 和 60 天的新型冠状病毒肺炎传播。我们还评估了封锁前过境站和购物中心个体聚集导致暴露增强的情况。 结果: 与 14 个国家的实际报告病例相比,该模型能有效地预测新型冠状病毒肺炎病例数。对于印度,该模型预测了 14 天和 21 天锁定干预期的病例显著减少,42 天锁定期的病例显著减少。这种干预超过 42 天不会导致可衡量的改善。最后,对于 “恐慌购物” 的场景或导致更高感染暴露的因素突然增加的情况,该模型预测了指数传播,导致所考虑的干预策略失败。 结论: 实施为期至少 21 天的严格封锁,预计可减少新型冠状病毒肺炎的传播。然而,需要进一步延长至 42 天,以显著减少新型冠状病毒肺炎在印度的传播。封锁中的任何放松都可能导致指数传播,从而给该国的医疗保健系统带来沉重负担。

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呼吸道感染方向

呼吸道感染分为上呼吸道感染与下呼吸道感染。上呼吸道感染是指自鼻腔至喉部之间的急性炎症的总称,是最常见的感染性疾病。下呼吸道感染是最常见的感染性疾患,治疗时必须明确引起感染的病原体以选择有效的抗生素。

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