Data-driven modeling and forecasting of COVID-19 outbreak for public policy making

A Hasan, ERM Putri, H Susanto, N Nuraini - ISA transactions, 2022 - Elsevier
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 …

Data-driven decision making for modelling covid-19 and its implications: A cross-country study

G Sariyer, SK Mangla, Y Kazancoglu, V Jain… - … Forecasting and Social …, 2023 - Elsevier
Grounded in big data analytics capabilities, this study aims to model the COVID-19 spread
globally by considering various factors such as demographic, cultural, health system …

Data-based analysis, modelling and forecasting of the COVID-19 outbreak

C Anastassopoulou, L Russo, A Tsakris, C Siettos - PloS one, 2020 - journals.plos.org
Since the first suspected case of coronavirus disease-2019 (COVID-19) on December 1st,
2019, in Wuhan, Hubei Province, China, a total of 40,235 confirmed cases and 909 deaths …

Data-driven modeling for different stages of pandemic response

A Adiga, J Chen, M Marathe, H Mortveit… - Journal of the Indian …, 2020 - Springer
Some of the key questions of interest during the COVID-19 pandemic (and all outbreaks)
include: where did the disease start, how is it spreading, who are at risk, and how to control …

[HTML][HTML] Short-term forecasts and long-term mitigation evaluations for the COVID-19 epidemic in Hubei Province, China

Q Yang, C Yi, A Vajdi, LW Cohnstaedt, H Wu… - Infectious Disease …, 2020 - Elsevier
As an emerging infectious disease, the 2019 coronavirus disease (COVID-19) has
developed into a global pandemic. During the initial spreading of the virus in China, we …

COVID-19: modeling, prediction, and control

A Bani Younes, Z Hasan - Applied Sciences, 2020 - mdpi.com
The newly emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also
known as COVID-19, has been recognized as a pandemic by the World Health Organization …

Modeling and predicting the spread of COVID-19: a continental analysis

BA Ojokoh, OA Sarumi, KV Salako, AJ Gabriel… - Data Science for COVID …, 2022 - Elsevier
The world is currently overwhelmed with the perils of the outbreak of the coronavirus
disease 2019 (COVID-19) pandemic. As of May 18, 2020, there were 4,819,102 confirmed …

A bayesian updating scheme for pandemics: estimating the infection dynamics of covid-19

S Wang, X Yang, L Li, P Nadler… - IEEE Computational …, 2020 - ieeexplore.ieee.org
Epidemic models play a key role in understanding and responding to the emerging COVID-
19 pandemic. Widely used compartmental models are static and are of limited use to …

COVID-19 non-pharmaceutical intervention portfolio effectiveness and risk communication predominance

LYH Chan, B Yuan, M Convertino - Scientific reports, 2021 - nature.com
Non-pharmaceutical interventions (NPIs) including resource allocation, risk communication,
social distancing and travel restriction, are mainstream actions to control the spreading of …

Understanding the covid19 outbreak: A comparative data analytics and study

A Koubaa - arXiv preprint arXiv:2003.14150, 2020 - arxiv.org
The Coronavirus, also known as the COVID-19 virus, has emerged in Wuhan China since
late November 2019. Since that time, it has been spreading at large-scale until today all …