Background Mathematical modeling constitutes an important tool for planning robust responses to epidemics. This study was conducted to guide the Qatari national response to …
S Shankar, SS Mohakuda, A Kumar… - Medical journal armed …, 2021 - Elsevier
Background Various mathematical models were published to predict the epidemiological consequences of the COVID-19 pandemic. This systematic review has studied the initial …
The continuously growing number of COVID-19 cases pressures healthcare services worldwide. Accurate short-term forecasting is thus vital to support country-level policy …
J Luo - SUTD Data-Driven Innovation Lab, 2020 - newsbeast.gr
During the current COVID-19 pandemic, there have been many efforts to forecast the infection cases, deaths and medical or economic indicators, with a variety of statistical or …
The need for improved models that can accurately predict COVID-19 dynamics is vital to managing the pandemic and its consequences. We use machine learning techniques to …
M Cortinovis, N Perico, G Remuzzi - The Lancet, 2021 - thelancet.com
colleagues must be congratulated for developing a comprehensive and well designed score for integrating thrombotic and bleeding risks in patients with ACS. Compared with previous …
COVID-19 cases in India have been steadily increasing since January 30, 2020 and have led to a government-imposed lockdown across the country to curtail community transmission …
M Hassany, W Abdel-Razek, N Asem… - The lancet infectious …, 2020 - thelancet.com
We thank them for their interest in estimating the coronavirus disease 2019 (COVID-19) burden in Egypt. However, their model-based calculations used the number of patients …