15 results for “Coronavirus Disease 2019”

Set a search alert

Research ArticleOpen accessIn the abstractAsymptomatic COVID-19 Patients: Experience and Lessons from a Developing CountrySylvie Kolani, Houda Alami, El Harch ibtissam et al.The world is facing a pandemic due to the SARS-Coronavirus 2, since late 2019. Many questions remain unanswered regarding the disease course. Key amongst its talking point is the case of asymptomatic patients. This potentially jeopardizes infection control strategy as asymptomatic cases are difficult to identify and hence difficult to isolate. Our study intends to define the clinical and radiological … …American Journal of Infectious Diseases, Vol. 17, Issue 2 · 22 May 2021 · 7,136 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFirst-Degree Polynomial Gradient Approach to Reveal the Severity of COVID-19 Pandemic in Affected CountriesDedy Rahman Wijaya, Anak Agung Gde Agung, Tora Fahrudin, SuryatiningsihCOVID-19 is a new type of Coronavirus (2019-nCoV) which originated from Wuhan in China. Since 11 March 2020, WHO has declared COVID-19 as a pandemic. Currently, it has spread to 175 countries or regions around the world. From day to day, confirmed, recovered and death cases have been reported. This data rapidly changes that indicates an uncertain situation. This uncertain … …Journal of Computer Science, Vol. 17, Issue 2 · 16 Mar 2021 · 7,176 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCovid-19 Global Spread Analyzer: An ML-Based AttemptRana Husni Al Mahmoud, Eman Omar, Khaled Taha et al.The novel Coronavirus 2019 (COVID-19) has caused a pandemic disease over 200 countries, influencing billions of humans. In this consequence, it is very much essential to the identify factors that correlate with the spread of this virus. The detection of coronavirus spread factors open up new challenges to the research community. Artificial Intelligence (AI) driven methods can be useful to … …Journal of Computer Science, Vol. 16, Issue 9 · 2 Oct 2020 · 6,930 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Time Series Forecasting for the Cumulative Confirmed and Critical Cases of the Covid-19 Pandemic in Saudi Arabia using Autoregressive Integrated Moving Average (ARIMA) ModelSamer H. Atawneh, Osamah A.M. Ghaleb, Ahmad MohdAziz Hussein et al.Reviews at present, different machine learning techniques and algorithms have been applied for predicting significant factors of the Coronavirus Disease-2019 (COVID-19) such as the outbreak and diagnosis. In this study, the most accurate time series forecasting model, namely, the Autoregressive Integrated Moving Average (ARIMA) model is used to forecast the expected cumulative number of confirmed and critical cases in Saudi … …Journal of Computer Science, Vol. 16, Issue 9 · 30 Sep 2020 · 7,602 accessesView PDF Cite

Research NotesOpen accessIn the abstractEvaluation of A Rapid IgM-IgG Combined Antibody Test for SARS-CoV-2 Infection: Single Italian Center StudyKatia Margiotti, Marina Cupellaro, Sabrina Emili et al.The need for timely establishment of diagnostic assays of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is demanded in laboratories worldwide. We evaluated the performance of a flow immunoassay which can detect IgM an IgG antibodies simultaneously against SARS-CoV-2 virus in human blood within 15 min. Among the 132 positive novel Coronavirus Disease 19 (COVID-19) cases, 126 tests were consistent … …American Journal of Infectious Diseases, Vol. 16, Issue 2 · 22 Jun 2020 · 7,613 accessesView PDF Cite