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Related papers: COVID-19 Hospitalizations Forecasts Using Internet…

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This research paper proposes a COVID-19 monitoring and response system to identify the surge in the volume of patients at hospitals and shortage of critical equipment like ventilators in South-east Asian countries, to understand the burden…

Just like your phone can detect what song is playing in crowded spaces, we show that Artificial Intelligence transfer learning algorithms trained on cough phone recordings results in diagnostic tests for COVID-19. To gain adoption by the…

The US COVID-19 Forecast Hub, a repository of COVID-19 forecasts from over 50 independent research groups, is used by the Centers for Disease Control and Prevention (CDC) for their official COVID-19 communications. As such, the Forecast Hub…

Applications · Statistics 2025-02-20 Saad Mohammad Abrar , Naman Awasthi , Daniel Smolyak , Vanessa Frias-Martinez

While image analysis of chest computed tomography (CT) for COVID-19 diagnosis has been intensively studied, little work has been performed for image-based patient outcome prediction. Management of high-risk patients with early intervention…

The global spread of COVID-19 had severe consequences for public health and the world economy. The quick onset of the pandemic highlighted the potential benefits of cheap and deployable pre-screening methods to monitor the prevalence of the…

Sound · Computer Science 2023-09-12 Andrej Jovanović , Mario Mihaly , Lennon Donaldson

The recent outbreak of COVID-19 has affected millions of individuals around the world and has posed a significant challenge to global healthcare. From the early days of the pandemic, it became clear that it is highly contagious and that…

Social and Information Networks · Computer Science 2021-04-13 George Panagopoulos , Giannis Nikolentzos , Michalis Vazirgiannis

Recent work has shown the potential of using audio data (eg, cough, breathing, and voice) in the screening for COVID-19. However, these approaches only focus on one-off detection and detect the infection given the current audio sample, but…

The availability of intensive care beds during the Covid-19 epidemic is crucial to guarantee the best possible treatment to severely affected patients. In this work we show a simple strategy for short-term prediction of Covid-19 ICU beds,…

The coronavirus disease 2019 (COVID-19) pandemic has been ongoing for around 3 years, and has infected over 750 million people and caused over 6 million deaths worldwide at the time of writing. Throughout the pandemic, several strategies…

Artificial Intelligence · Computer Science 2023-08-17 Mohamed Harmanani

The outburst of COVID-19 in late 2019 was the start of a health crisis that shook the world and took millions of lives in the ensuing years. Many governments and health officials failed to arrest the rapid circulation of infection in their…

Machine Learning · Computer Science 2022-12-20 Mehrdad Fazli , Heman Shakeri

The COVID-19 pandemic has affected the world unevenly; while industrial economies have been able to produce the tests necessary to track the spread of the virus and mostly avoided complete lockdowns, developing countries have faced issues…

Sound · Computer Science 2021-01-01 Björn W. Schuller , Harry Coppock , Alexander Gaskell

Background: Seasonal influenza causes a substantial burden on healthcare services over the winter period when these systems are already under pressure. Policies during the COVID-19 pandemic supressed the transmission of season influenza,…

Due to the large accumulation of patients requiring hospitalization, the COVID-19 pandemic disease caused a high overload of health systems, even in developed countries. Deep learning techniques based on medical imaging data can help in the…

The rapid spread of COVID-19 in the United States has imposed a major threat to public health, the real economy, and human well-being. With the absence of effective vaccines, the preventive actions of social distancing and travel reduction…

Physics and Society · Physics 2020-06-02 Chao Fan , Sanghyeon Lee , Yang Yang , Bora Oztekin , Qingchun Li , Ali Mostafavi

BACKGROUND An alternative to epidemiological models for transmission dynamics of Covid-19 in China, we propose the artificial intelligence (AI)-inspired methods for real-time forecasting of Covid-19 to estimate the size, lengths and ending…

Other Quantitative Biology · Quantitative Biology 2020-03-03 Zixin Hu , Qiyang Ge , Shudi Li , Li Jin , Momiao Xiong

Since the outbreak of Coronavirus Disease 2019 (COVID-19), most of the impacted patients have been diagnosed with high fever, dry cough, and soar throat leading to severe pneumonia. Hence, to date, the diagnosis of COVID-19 from lung…

Image and Video Processing · Electrical Eng. & Systems 2021-12-28 Abbas Raza Ali , Marcin Budka

COVID-19 is a respiratory disease that caused a global pandemic in 2019. It is highly infectious and has the following symptoms: fever or chills, cough, shortness of breath, fatigue, muscle or body aches, headache, the new loss of taste or…

Machine Learning · Computer Science 2025-11-20 Zachariah Farahany , Jiawei Wu , K M Sajjadul Islam , Praveen Madiraju

The COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, raising the need to develop novel tools to provide rapid and cost-effective screening and diagnosis. Clinical reports indicated that COVID-19 infection…

Image and Video Processing · Electrical Eng. & Systems 2023-01-11 Thao Nguyen , Hieu H. Pham , Huy Khiem Le , Anh Tu Nguyen , Ngoc Tien Thanh , Cuong Do

COVID-19 is extremely contagious and its rapid growth has drawn attention towards its early diagnosis. Early diagnosis of COVID-19 enables healthcare professionals and government authorities to break the chain of transition and flatten the…

Image and Video Processing · Electrical Eng. & Systems 2024-11-19 Sumera Rounaq , Shahid Munir Shah , Mahmoud Aljawarneh

The COVID-19 pandemic has posed a heavy burden to the healthcare system worldwide and caused huge social disruption and economic loss. Many deep learning models have been proposed to conduct clinical predictive tasks such as mortality…

Machine Learning · Computer Science 2024-01-24 Junyi Gao , Yinghao Zhu , Wenqing Wang , Yasha Wang , Wen Tang , Ewen M. Harrison , Liantao Ma