Study on the Effectiveness of Prevention Strategies for the COVID-۱۹ pandemic: A Case Study in Ezhou, China

Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 77

This Paper With 12 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_HDQ-7-4_005

تاریخ نمایه سازی: 27 آذر 1402

Abstract:

Background: Today, with the coronavirus disease ۲۰۱۹ (COVID-۱۹) pandemic, the governments and international institutions are taking various approaches to control the infections. This study aims to propose an improved susceptible-exposed-infectious-removed (SEIR) model to predict the future trend of pandemic and assess the effectiveness of prevention and control strategies. Materials and Methods: A new SEIR model was developed by adding two Q۱ and Q۲ isolation parameters (at home and hospital) named “SEIR-Q۱Q۲” to predict the future trend of pandemic, and assess the effectiveness of prevention and control strategies in Ezhou, Hubei province, China. The stimulation was conducted in Python by evaluating the effects of pandemic knowledge dissemination, medical supply, and both. Results: due to the lack of knowledge of the disease risk, there was no strong tendency towards self-isolation, and the outbreak time coincided with the start of the Spring Festival, China’s major holiday, when many Chinse people are gathered and have close contact with each other. Therefore, it was not possible to disseminate the knowledge of pandemic, which let the virus kill many people. Conclusion: The SEIR-Q۱Q۲ model can be used to predict the future trend of the COVID-۱۹ pandemic by proposing the dissemination of the pandemic knowledge and increasing the supply of medical resources.

Authors

Wang Qian

School of Safety Science and Emergency Management ,Wuhan University of Technology, China.

Zhuang Yue

School of Safety Science and Emergency Management ,Wuhan University of Technology, China.

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :