Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions
K Nikolopoulos, S Punia, A Schäfers… - European journal of …, 2021 - Elsevier
Policymakers during COVID-19 operate in uncharted territory and must make tough
decisions. Operational Research–the ubiquitous 'science of better'–plays a vital role in …
decisions. Operational Research–the ubiquitous 'science of better'–plays a vital role in …
Healthcare operations and black swan event for COVID-19 pandemic: A predictive analytics
JP Devarajan, A Manimuthu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
COVID-19 pandemic has questioned the way healthcare operations take place globally as
the healthcare professionals face an unprecedented task of controlling and treating the …
the healthcare professionals face an unprecedented task of controlling and treating the …
[HTML][HTML] Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec
S Khalilpourazari, H Hashemi Doulabi - Annals of Operations Research, 2022 - Springer
Abstract World Health Organization (WHO) stated COVID-19 as a pandemic in March 2020.
Since then, 26,795,847 cases have been reported worldwide, and 878,963 lost their lives …
Since then, 26,795,847 cases have been reported worldwide, and 878,963 lost their lives …
Data-driven modeling and forecasting of COVID-19 outbreak for public policy making
This paper presents a data-driven approach for COVID-19 modeling and forecasting, which
can be used by public policy and decision makers to control the outbreak through Non …
can be used by public policy and decision makers to control the outbreak through Non …
[HTML][HTML] COVID-19 prediction models: a systematic literature review
SM Shakeel, NS Kumar, PP Madalli… - Osong public health …, 2021 - ncbi.nlm.nih.gov
As the world grapples with the problem of the coronavirus disease 2019 (COVID-19)
pandemic and its devastating effects, scientific groups are working towards solutions to …
pandemic and its devastating effects, scientific groups are working towards solutions to …
[HTML][HTML] COVID-19-the role of artificial intelligence, machine learning, and deep learning: a newfangled
DN Vinod, SRS Prabaharan - Archives of Computational Methods in …, 2023 - Springer
The absolute previously infected novel coronavirus (COVID-19) was found in Wuhan, China,
in December 2019. The COVID-19 epidemic has spread to more than 220 nations and …
in December 2019. The COVID-19 epidemic has spread to more than 220 nations and …
Comparative study of a mathematical epidemic model, statistical modeling, and deep learning for COVID-19 forecasting and management
The COVID-19 pandemic has caused a global crisis with 47,209,305 confirmed cases and
1,209,505 confirmed deaths worldwide as of November 2, 2020. Forecasting confirmed …
1,209,505 confirmed deaths worldwide as of November 2, 2020. Forecasting confirmed …
[PDF][PDF] When will COVID-19 end? Data-driven prediction
J Luo - Data-Driven Innovation Lab, 2020 - sunday.com.pk
On April 18, 2020, we launched a webpage (https://ddi. sutd. edu. sg/when-will-covid-19-
end/)(screenshot in Figure 1) to share data-driven predictions of next developments and end …
end/)(screenshot in Figure 1) to share data-driven predictions of next developments and end …
The role of healthcare supply chain management in the wake of COVID-19 pandemic: hot off the press
Purpose The study aims to examine the role of health-care supply chain management
during the COVID-19 pandemic in a cross-section of 42 selected sub-Saharan African (SSA) …
during the COVID-19 pandemic in a cross-section of 42 selected sub-Saharan African (SSA) …
[HTML][HTML] Forecasting the spread of COVID-19 using LSTM network
Background The novel coronavirus (COVID-19) is caused by severe acute respiratory
syndrome coronavirus 2, and within a few months, it has become a global pandemic. This …
syndrome coronavirus 2, and within a few months, it has become a global pandemic. This …