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相关论文: Non-traditional data in pandemic preparedness and …

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In 2020, the COVID-19 pandemic resulted in a rapid response from governments and researchers worldwide. As of late 2023, over millions have died as a result of COVID-19, with many COVID-19 survivors going on to experience long-term effects…

计算机与社会 · 计算机科学 2023-12-25 Yo Yehudi , Lukas Hughes-Noehrer , Carole Goble , Caroline Jay

This document analyzes the role of data-driven methodologies in Covid-19 pandemic. We provide a SWOT analysis and a roadmap that goes from the access to data sources to the final decision-making step. We aim to review the available…

种群与进化 · 定量生物学 2020-06-11 Teodoro Alamo , D. G. Reina , Pablo Millán

The COVID-19 pandemic has brought forth the importance of epidemic forecasting for decision makers in multiple domains, ranging from public health to the economy as a whole. While forecasting epidemic progression is frequently…

Some of the key questions of interest during the COVID-19 pandemic (and all outbreaks) include: where did the disease start, how is it spreading, who is at risk, and how to control the spread. There are a large number of complex factors…

A pandemic poses particular challenges to decision-making because of the need to continuously adapt decisions to rapidly changing evidence and available data. For example, which countermeasures are appropriate at a particular stage of the…

The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing…

Accessible epidemiological data are of great value for emergency preparedness and response, understanding disease progression through a population, and building statistical and mechanistic disease models that enable forecasting. The status…

COVID-19 has spread all over the world, having an enormous effect on our daily life and work. In response to the epidemic, a lot of important decisions need to be taken to save communities and economies worldwide. Data clearly plays a vital…

社会与信息网络 · 计算机科学 2022-02-24 Shuo Yu , Qing Qing , Chen Zhang , Ahsan Shehzad , Giles Oatley , Feng Xia

Humanitarian challenges, including natural disasters, food insecurity, climate change, racial and gender violence, environmental crises, the COVID-19 coronavirus pandemic, human rights violations, and forced displacements,…

计算机与社会 · 计算机科学 2021-09-08 Snehalkumar , S. Gaikwad , Shankar Iyer , Dalton Lunga , Yu-Ru Lin

Humanitarian challenges, including natural disasters, food insecurity, climate change, racial and gender violence, environmental crises, the COVID-19 coronavirus pandemic, human rights violations, and forced displacements,…

计算机与社会 · 计算机科学 2021-09-08 Snehalkumar , S. Gaikwad , Shankar Iyer , Dalton Lunga , Elizabeth Bondi

This survey analyses the role of data-driven methodologies for pandemic modelling and control. We provide a roadmap from the access to epidemiological data sources to the control of epidemic phenomena. We review the available methodologies…

系统与控制 · 电气工程与系统科学 2021-08-23 Teodoro Alamo , Daniel G. Reina , Pablo Millán Gata , Victor M. Preciado , Giulia Giordano

In the era of big data, standard analysis tools may be inadequate for making inference and there is a growing need for more efficient and innovative ways to collect, process, analyze and interpret the massive and complex data. We provide an…

机器学习 · 计算机科学 2021-11-30 Zhe Fei , Yevgen Ryeznik , Oleksandr Sverdlov , Chee Wei Tan , Weng Kee Wong

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…

This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control the COVID-19 pandemic and in assessing the effectiveness of control measures such as physical…

This report summarizes the discussions and conclusions of a 2-day multidisciplinary workshop that brought together researchers and practitioners in healthcare, computer science, and social sciences to explore what lessons were learned and…

计算机与社会 · 计算机科学 2024-03-04 David Danks , Rada Mihalcea , Katie Siek , Mona Singh , Brian Dixon , Haley Griffin

Digital contact tracing has been deployed as a public health intervention to help suppress the spread of COVID-19 in many jurisdictions. However, most governments have struggled with low uptake and participation rates, limiting the…

计算机与社会 · 计算机科学 2021-07-20 Andrew Tzer-Yeu Chen , Kimberly Thio

The ongoing COVID-19 pandemic highlights the importance of dashboards for providing critical real-time information. In order to enable people to obtain information in time and to understand complex statistical data, many developers have…

人机交互 · 计算机科学 2022-06-02 Xinyan Li , Han Wang , Chunyang Chen , John Grundy

Pandemic control measures like lock-down, restrictions on restaurants and gatherings, social-distancing have shown to be effective in curtailing the spread of COVID-19. However, their sustained enforcement has negative economic effects. To…

Clinical trials disruption has always represented a non negligible part of the ending of interventional studies. While the SARS-CoV-2 (COVID-19) pandemic has led to an impressive and unprecedented initiation of clinical research, it has…

We provide an insight into the open data resources pertinent to the study of the spread of Covid-19 pandemic and its control. We identify the variables required to analyze fundamental aspects like seasonal behaviour, regional mortality…

其他定量生物学 · 定量生物学 2020-05-12 Teodoro Alamo , Daniel G. Reina , Martina Mammarella , Alberto Abella
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