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相关论文: Data-driven Optimization Model for Global Covid-19…

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Epidemic risk assessment poses inherent challenges, with traditional approaches often failing to balance health outcomes and economic constraints. This paper presents a data-driven decision support tool that models epidemiological dynamics…

应用统计 · 统计学 2025-11-24 Chang Zhai , Ping Chen , Zhuo Jin , David Pitt

Globally, the outbreaks of infectious diseases have exerted an extremely profound and severe influence on health security and the economy. During the critical phases of epidemics, devising effective intervention measures poses a significant…

机器学习 · 计算机科学 2025-05-08 Baida Zhang , Yakai Chen , Huichun Li , Zhenghu Zu

During the COVID-19 pandemic, the scientific community developed predictive models to evaluate potential governmental interventions. However, the analysis of the effects these interventions had is less advanced. Here, we propose a…

种群与进化 · 定量生物学 2020-07-09 Andres Babino , Marcelo O. Magnasco

This study explores the application of Pontryagin's Maximum Principle to derive optimal strategies for controlling the spread of COVID-19, leveraging a novel compartmental model to capture the disease dynamics. We prioritize three key…

There are five different forms of intervention presently realised by the Indonesian government in an effort to end the COVID-19 pandemic: vaccinations, social restrictions, tracings, testings, and treatments. In this paper, we construct an…

动力系统 · 数学 2022-03-31 Benny Yong , Jonathan Hoseana , Livia Owen

The COVID-19 pandemic and the mitigation policies implemented in response to it have resulted in economic losses worldwide. Attempts to understand the relationship between economics and epidemiology has lead to a new generation of…

When the Covid-19 pandemic enters dangerous new phase, whether and when to take aggressive public health interventions to slow down the spread of COVID-19. To develop the artificial intelligence (AI) inspired methods for real-time…

种群与进化 · 定量生物学 2020-03-24 Zixin Hu , Qiyang Ge , Shudi Li , Eric Boerwincle , Li Jin , Momiao Xiong

Currently there are many attempts around the world to use computers, smartphones, tablets and other electronic devices in order to stop the spread of COVID-19. Most of these attempts focus on collecting information about infected people, in…

社会与信息网络 · 计算机科学 2020-04-07 Alexandru Popa

The rapid spread of the Coronavirus SARS-2 is a major challenge that led almost all governments worldwide to take drastic measures to respond to the tragedy. Chief among those measures is the massive lockdown of entire countries and cities,…

The investment of time and resources for better strategies and methodologies to tackle a potential pandemic is key to deal with potential outbreaks of new variants or other viruses in the future. In this work, we recreated the scene of a…

机器学习 · 计算机科学 2021-04-22 Andrés L. Suárez-Cetrulo , Ankit Kumar , Luis Miralles-Pechuán

During an infectious disease outbreak, biases in the data and complexities of the underlying dynamics pose significant challenges in mathematically modelling the outbreak and designing policy. Motivated by the ongoing response to COVID-19,…

Epidemics and pandemics have ravaged human life since time. To combat these, novel ideas have always been created and deployed by humanity, with varying degrees of success. At this very moment, the COVID-19 pandemic is the singular global…

Understanding how to effectively control an epidemic spreading on a network is a problem of paramount importance for the scientific community. The ongoing COVID-19 pandemic has highlighted the need for policies that mitigate the spread,…

种群与进化 · 定量生物学 2021-09-14 Carlo Cenedese , Lorenzo Zino , Michele Cucuzzella , Ming Cao

Whenever countries are threatened by a pandemic, as is the case with the COVID-19 virus, governments should take the right actions to safeguard public health as well as to mitigate the negative effects on the economy. In this regard, there…

机器学习 · 计算机科学 2020-05-18 Luis Miralles-Pechuán , Fernando Jiménez , Hiram Ponce , Lourdes Martínez-Villaseñor

Various non pharmaceutical interventions have been settled to minimise the burden of the COVID-19 outbreak. We build a framework to analyse the dynamics of non pharmaceutical interventions, to distinguish between mitigations measures…

种群与进化 · 定量生物学 2023-01-23 Laurent Evain , Jean-Jacques Loeb

As the COVID19 spreads across the world, prevention measures are becoming the essential weapons to combat the pandemic in the period of crisis. The lockdown measure is the most controversial one as it imposes an overwhelming impact on our…

物理与社会 · 物理学 2021-02-12 Yuting Fu , Haitao Xiang , Hanqing Jin , Ning Wang

Policy responses to COVID-19, particularly those related to non-pharmaceutical interventions, are unprecedented in scale and scope. Epidemiologists are more involved in policy decisions and evidence generation than ever before. However,…

统计方法学 · 统计学 2021-04-20 Noah A Haber , Emma Clarke-Deelder , Joshua A Salomon , Avi Feller , Elizabeth A Stuart

In the context of epidemiology, policies for disease control are often devised through a mixture of intuition and brute-force, whereby the set of logically conceivable policies is narrowed down to a small family described by a few…

种群与进化 · 定量生物学 2021-10-04 Miguel Navascues , Costantino Budroni , Yelena Guryanova

The adoption of containment measures to reduce the amplitude of the epidemic peak is a key aspect in tackling the rapid spread of an epidemic. Classical compartmental models must be modified and studied to correctly describe the effects of…

种群与进化 · 定量生物学 2021-05-18 G. Albi , L. Pareschi , M. Zanella

Restrictions on social and economic activities, as well as vaccinations, have been a key intervention in containing the COVID-19 epidemic. Our work focuses on better understanding the options available to policymakers under the conditions…

最优化与控制 · 数学 2023-09-07 Franco Galante , Chiara Ravazzi , Michele Garetto , Emilio Leonardi