Impact of vaccination and non-pharmacological interventions on COVID-19: a review of simulation modeling studies in Asia

K Thakkar, JR Spinardi, J Yang, MH Kyaw… - Frontiers in Public …, 2023 - frontiersin.org
Introduction Epidemiological modeling is widely used to offer insights into the COVID-19
pandemic situation in Asia. We reviewed published computational (mathematical/simulation) …

Predicting the hate: A Gstm model based on Covid-19 hate speech datasets

XK Wu, TF Zhao, L Lu, WN Chen - Information Processing & Management, 2022 - Elsevier
COVID-19 crisis has been accompanied by copious hate speeches widespread on social
media. It reinforces the fragmentation of the world, resulting in more significant racial …

[HTML][HTML] Iran COVID-19 epidemiology committee: A review of missions, structures, achievements, and challenges

S Amiri, A Haghdoost, E Mostafavi… - Journal of research in …, 2021 - ncbi.nlm.nih.gov
Background: Since the beginning of the coronavirus disease 2019 (COVID-19) epidemic in
Iran, the control and management of the epidemic were headed by the National …

Covid-19 prediction based on infected cases and deaths of bangladesh using deep transfer learning

KM Hasib, S Sakib, J Al Mahmud… - 2022 IEEE World AI …, 2022 - ieeexplore.ieee.org
The severely infectious virus known as “COVID-19” has wreaked havoc on the planet,
trapping to keep the disease from spreading, while billions of people are staying inside …

A data driven analysis and forecast of COVID-19 dynamics during the third wave using SIRD model in Bangladesh

O Faruk, S Kar - Covid, 2021 - mdpi.com
In this study, we developed a compartmental SIRD model to analyze and forecast the
transmission dynamics of the COVID-19 pandemic in Bangladesh during the third wave …

An agile systems modeling framework for bed resource planning during COVID-19 pandemic in Singapore

SSW Lam, AR Pourghaderi, HR Abdullah… - Frontiers in public …, 2022 - frontiersin.org
Background The COVID-19 pandemic has had a major impact on health systems globally.
The sufficiency of hospitals' bed resource is a cornerstone for access to care which can …

Prediction of COVID‐19 Pandemic in Bangladesh: Dual Application of Susceptible‐Infective‐Recovered (SIR) and Machine Learning Approach

I Haq, MI Hossain, AAS Saleheen… - Interdisciplinary …, 2022 - Wiley Online Library
The outbreak of COVID‐19 is a global problem today, and, to reduce infectious cases and
increase recovered cases, it is relevant to estimate the future movement and pattern of the …

The mathematical and machine learning models to forecast the COVID-19 outbreaks in Bangladesh

MA Babu, MM Ahmmed, A Ferdousi… - Journal of …, 2022 - Taylor & Francis
The COVID-19 virus mutates in many different variants after its outbreak. Although several
vaccines have been developed by many countries and implemented worldwide, it is difficult …

Assessing the dynamic outcomes of containment strategies against COVID-19 under different public health governance structures: a comparison between Pakistan …

W Zhang, T Huggins, W Zheng, S Liu, Z Du… - International Journal of …, 2022 - mdpi.com
COVID-19 scenarios were run using an epidemiological mathematical model (system
dynamics model) and counterfactual analysis to simulate the impacts of different control and …

[PDF][PDF] Data Forecasting and Comparative Analysis Using SIR Model for COVID-19 Outbreak in Bangladesh and India

M Zahid, AA Foisal, MM Alam - Scholars Journal of Physics …, 2023 - saspublishers.com
The aim of this paper is to analyze data and forecasting of the novel coronavirus (Covid-19)
using the SIR model in Bangladesh and India. The recovery rate, growth rate, and …