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COVID-19 pandemics has challenged emergency response systems worldwide, with widespread reports of essential services breakdown and collapse of health care structure. A critical element involves essential workforce management since current…

Other Quantitative Biology · Quantitative Biology 2020-05-21 Eduardo Avila , Marcio Dorn , Clarice Sampaio Alho , Alessandro Kahmann

The COVID-19 pandemic has had devastating effects on the well-being of the global population. The pandemic has been so prominent partly due to the high infection rate of the virus and its variants. In response, one of the most effective…

Image and Video Processing · Electrical Eng. & Systems 2021-05-06 Jianxing Zhang , Pengcheng Xi , Ashkan Ebadi , Hilda Azimi , Stephane Tremblay , Alexander Wong

In this paper, we estimate the seroprevalence against COVID-19 by country and derive the seroprevalence over the world. To estimate seroprevalence, we use serological surveys (also called the serosurveys) conducted within each country. When…

Applications · Statistics 2022-02-01 Kwangmin Lee , Seongmin Kim , Seongil Jo , Jaeyong Lee

COVID-19 is an infectious disease that causes respiratory problems similar to those caused by SARS-CoV (2003). Currently, swab samples are being used for its diagnosis. The most common testing method used is the RT-PCR method, which has…

Image and Video Processing · Electrical Eng. & Systems 2020-06-25 Rohit Lokwani , Ashrika Gaikwad , Viraj Kulkarni , Aniruddha Pant , Amit Kharat

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), is a threat to the global healthcare system and economic security. As of July 2020, no specific drugs or vaccines are…

In this work, we developed a deep learning model-based approach to forecast the spreading trend of SARS-CoV-2 in the United States. We implemented the designed model using the United States to confirm cases and state demographic data and…

Computers and Society · Computer Science 2020-08-14 Tong Yang , Long Sha , Justin Li , Pengyu Hong

Background: Chest computed tomography (CT) is recognized as an important tool for COVID-19 severity assessment. As the number of affected patients increase rapidly, manual severity assessment becomes a labor-intensive task, and may lead to…

Image and Video Processing · Electrical Eng. & Systems 2020-03-28 Zhenyu Tang , Wei Zhao , Xingzhi Xie , Zheng Zhong , Feng Shi , Jun Liu , Dinggang Shen

Coronavirus disease (COVID-19) is a contagious infection caused by severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) and it has infected and killed millions of people across the globe. In the absence of specific drugs or vaccines…

Image and Video Processing · Electrical Eng. & Systems 2022-07-12 Wajid Arshad Abbasi , Syed Ali Abbas , Saiqa Andleeb

With the fast development of COVID-19 into a global pandemic, scientists around the globe are desperately searching for effective antiviral therapeutic agents. Bridging systems biology and drug discovery, we propose a deep learning…

Quantitative Methods · Quantitative Biology 2020-11-24 Jannis Born , Matteo Manica , Joris Cadow , Greta Markert , Nil Adell Mill , Modestas Filipavicius , María Rodríguez Martínez

The new coronavirus 2019, also known as COVID19, is a very serious epidemic that has killed thousands or even millions of people since December 2019. It was defined as a pandemic by the world health organization in March 2020. It is stated…

Image and Video Processing · Electrical Eng. & Systems 2020-12-11 Ali Narin , Ziynet Pamuk

The widely used gene quantisation technique, Lateral Flow Device (LFD), is now commonly used to detect the presence of SARS-CoV-2. It is enabling the control and prevention of the spread of the virus. Depending on the viral load, LFD have…

Machine Learning · Computer Science 2022-05-27 Neeraj Vashistha

There are many sources of data giving information about the number of SARS-CoV-2 infections in the population, but all have major drawbacks, including biases and delayed reporting. For example, the number of confirmed cases largely…

Applications · Statistics 2022-06-08 Nicholas J. Irons , Adrian E. Raftery

COVID-19 is a devastating respiratory and inflammatory illness caused by a new coronavirus that is rapidly spreading throughout the human population. Over the past 6 months, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the…

Currently, Coronavirus disease (COVID-19), one of the most infectious diseases in the 21st century, is diagnosed using RT-PCR testing, CT scans and/or Chest X-Ray (CXR) images. CT (Computed Tomography) scanners and RT-PCR testing are not…

Introduction: For COVID-19 patients accurate prediction of disease severity and mortality risk would greatly improve care delivery and resource allocation. There are many patient-related factors, such as pre-existing comorbidities that…

An analytical study of the disease COVID-19 in Colombia was carried out using mathematical models such as Susceptible-Exposed-Infectious-Removed (SEIR), Logistic Regression (LR), and a machine learning method called Polynomial Regression…

Effective property prediction methods can help accelerate the search for COVID-19 antivirals either through accurate in-silico screens or by effectively guiding on-going at-scale experimental efforts. However, existing prediction tools have…

Quantitative Methods · Quantitative Biology 2020-05-08 Wengong Jin , Regina Barzilay , Tommi Jaakkola

In the context of continued spread of coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 and the emergence of new variants, the demand for rapid, accurate, and frequent detection is increasing. Besides, the new predominant strain,…

Coronavirus (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The spread of COVID-19 seems to have a detrimental effect on the global economy and health. A positive chest X-ray of infected…

Image and Video Processing · Electrical Eng. & Systems 2021-03-10 Abdul Waheed , Muskan Goyal , Deepak Gupta , Ashish Khanna , Fadi Al-Turjman , Placido Rogerio Pinheiro

The black-box nature of machine learning models hinders the deployment of some high-accuracy models in medical diagnosis. It is risky to put one's life in the hands of models that medical researchers do not fully understand. However,…

Machine Learning · Computer Science 2021-10-22 Han Wu , Wenjie Ruan , Jiangtao Wang , Dingchang Zheng , Bei Liu , Yayuan Gen , Xiangfei Chai , Jian Chen , Kunwei Li , Shaolin Li , Sumi Helal
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