2019年冠状病毒病(COVID-19)
2019-20冠状病毒爆发
计算机科学
反应扩散系统
扩散
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
统计物理学
应用数学
病毒学
数学
物理
医学
数学分析
爆发
病理
传染病(医学专业)
疾病
热力学
作者
Amer M. Salman,Mohd Hafiz Mohd
标识
DOI:10.1080/10255842.2024.2423879
摘要
. Simulations show that without dispersal, reinfection and limited medical resources problems can cause a plateau in cases. Dispersal and spatial heterogeneity intensify localised outbreaks, while integrated control strategies (vaccination and treatment) effectively reduce infection numbers and epidemic duration. The possibility of reinfection demonstrates the need for adaptable health measures. These insights can guide optimised control strategies for enhanced public health preparedness.
科研通智能强力驱动
Strongly Powered by AbleSci AI