Impacts of COVID-19 and anti-pandemic policies on urban transport—an empirical study in China
H Zhou, Y Wang, JR Huscroft, K Bai - Transport policy, 2021 - Elsevier
The COVID-19 pandemic that began in the last quarter of 2019 seriously impacted the
transportation industry. Countries around the world adopted various restrictions and policies …
transportation industry. Countries around the world adopted various restrictions and policies …
[HTML][HTML] Analysis, modeling and simulation of a fractional-order influenza model
The primary goal of this study is to provide a novel mathematical model for Influenza using
the Atangana–Baleanu Caputo fractional-order derivative operator (ABC-Operator) in place …
the Atangana–Baleanu Caputo fractional-order derivative operator (ABC-Operator) in place …
[HTML][HTML] A comparative study of SIR Model, Linear Regression, Logistic Function and ARIMA Model for forecasting COVID-19 cases
S Abolmaali, S Shirzaei - AIMS public health, 2021 - ncbi.nlm.nih.gov
Abstract Starting February 2020, COVID-19 was confirmed in 11,946 people worldwide, with
a mortality rate of almost 2%. A significant number of epidemic diseases consisting of human …
a mortality rate of almost 2%. A significant number of epidemic diseases consisting of human …
A bidirectional long short-term memory model algorithm for predicting COVID-19 in gulf countries
THH Aldhyani, H Alkahtani - Life, 2021 - mdpi.com
Accurate prediction models have become the first goal for aiding pandemic-related
decisions. Modeling and predicting the number of new active cases and deaths are …
decisions. Modeling and predicting the number of new active cases and deaths are …
A deep learning BiLSTM encoding-decoding model for COVID-19 pandemic spread forecasting
AI Shahin, S Almotairi - Fractal and Fractional, 2021 - mdpi.com
The COVID-19 pandemic has widely spread with an increasing infection rate through more
than 200 countries. The governments of the world need to record the confirmed infectious …
than 200 countries. The governments of the world need to record the confirmed infectious …
Empirical evaluation of alternative time-series models for covid-19 forecasting in Saudi Arabia
COVID-19 is a disease-causing coronavirus strain that emerged in December 2019 that led
to an ongoing global pandemic. The ability to anticipate the pandemic's path is critical. This …
to an ongoing global pandemic. The ability to anticipate the pandemic's path is critical. This …
[PDF][PDF] A numerical confirmation of a fractional seitr for influenza model efficiency
The main idea of this study is to reduce the number of susceptible to infections so that ill
patients can receive prompt hospitalization. Fractional SEITR was introduced for this …
patients can receive prompt hospitalization. Fractional SEITR was introduced for this …
[HTML][HTML] Applications of time series analysis in epidemiology: Literature review and our experience during COVID-19 pandemic
Time series analysis is a valuable tool in epidemiology that complements the classical
epidemiological models in two different ways: Prediction and forecast. Prediction is related …
epidemiological models in two different ways: Prediction and forecast. Prediction is related …
Modeling and Simulation: A Study on Predicting the Outbreak of COVID‐19 in Saudi Arabia
The novel coronavirus disease (COVID‐19) has resulted in an ongoing pandemic affecting
the health system and economy of more than 200 countries worldwide. Mathematical …
the health system and economy of more than 200 countries worldwide. Mathematical …
A stratified review of COVID-19 infection forecasting and an efficient methodology using multiple domain-based transfer learning
The initial outbreak of COVID-19 was reported in December 2019, China. The pandemic has
led to unforeseen challenges, causing unimaginable devastation of the economic and social …
led to unforeseen challenges, causing unimaginable devastation of the economic and social …