[HTML][HTML] COVID-19 during pregnancy: an overview of maternal characteristics, clinical symptoms, maternal and neonatal outcomes of 10,996 cases described in 15 …

EA Figueiro-Filho, M Yudin, D Farine - Journal of perinatal medicine, 2020 - degruyter.com
The objective of this review was to identify the most significant studies reporting on COVID-
19 during pregnancy and to provide an overview of SARS-CoV-2 infection in pregnant …

Using simulation modelling and systems science to help contain COVID‐19: A systematic review

W Zhang, S Liu, N Osgood, H Zhu… - Systems research and …, 2023 - Wiley Online Library
This study systematically reviews applications of three simulation approaches, that is,
system dynamics model (SDM), agent‐based model (ABM) and discrete event simulation …

Trend Analysis and Forecasting of COVID-19 outbreak in India

R Gupta, SK Pal - MedRxiv, 2020 - medrxiv.org
COVID-19 is spreading really fast around the world. The current study describes the
situation of the outbreak of this disease in India and predicts the number of cases expected …

[HTML][HTML] The relationship between trends in COVID-19 prevalence and traffic levels in South Korea

H Lee, SJ Park, GR Lee, JE Kim, JH Lee, Y Jung… - International Journal of …, 2020 - Elsevier
Abstract Objective The World Health Organization (WHO) declared a COVID-19 pandemic
on March 12, 2020. Several studies have indicated that densely populated urban …

Time series analysis and predicting COVID-19 affected patients by ARIMA model using machine learning

FA Chyon, MNH Suman, MRI Fahim… - Journal of virological …, 2022 - Elsevier
The spread of a respiratory syndrome known as Coronavirus Disease 2019 (COVID-19)
quickly took on pandemic proportions, affecting over 192 countries. An emergency of the …

[HTML][HTML] Exponentially increasing trend of infected patients with COVID-19 in Iran: a comparison of neural network and ARIMA forecasting models

L Moftakhar, S Mozhgan, MS Safe - Iranian Journal of Public …, 2020 - ncbi.nlm.nih.gov
Background: The outbreak of COVID-19 is rapidly spreading around the world and became
a pandemic disease. For help to better planning of interventions, this study was conducted to …

Random-forest-bagging broad learning system with applications for COVID-19 pandemic

C Zhan, Y Zheng, H Zhang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The rapid geographic spread of COVID-19, to which various factors may have contributed,
has caused a global health crisis. Recently, the analysis and forecast of the COVID-19 …

[HTML][HTML] The efficacy of deep learning based LSTM model in forecasting the outbreak of contagious diseases

N Absar, N Uddin, MU Khandaker, H Ullah - Infectious Disease Modelling, 2022 - Elsevier
The coronavirus disease that outbreak in 2019 has caused various health issues. According
to the WHO, the first positive case was detected in Bangladesh on 7 th March 2020, but …

[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 comprehensive analysis of COVID-19 transmission and mortality rates at the county level in the United States considering socio-demographics, health indicators …

T Bhowmik, SD Tirtha, NC Iraganaboina, N Eluru - Plos one, 2021 - journals.plos.org
Background Several research efforts have evaluated the impact of various factors including
a) socio-demographics,(b) health indicators,(c) mobility trends, and (d) health care …