The rapid assessment and early warning models for COVID-19

Z Bai, Y Gong, X Tian, Y Cao, W Liu, J Li - Virologica Sinica, 2020 - Springer
Human beings have experienced a serious public health event as the new pneumonia
(COVID-19), caused by the severe acute respiratory syndrome coronavirus has killed more …

[HTML][HTML] Development of the second version of Global Prediction System for Epidemiological Pandemic

J Huang, L Zhang, B Chen, X Liu, W Yan, Y Zhao… - Fundamental …, 2024 - Elsevier
Abstract Coronavirus disease 2019 (COVID-19) is a severe global public health emergency
that has caused a major crisis in the safety of human life, health, global economy, and social …

[HTML][HTML] Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020

K Roosa, Y Lee, R Luo, A Kirpich, R Rothenberg… - Infectious disease …, 2020 - Elsevier
The initial cluster of severe pneumonia cases that triggered the COVID-19 epidemic was
identified in Wuhan, China in December 2019. While early cases of the disease were linked …

An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China

L Wang, Y Zhou, J He, B Zhu, F Wang, L Tang… - Journal of Data …, 2020 - airitilibrary.com
We develop a health informatics toolbox that enables timely analysis and evaluation of the
time-course dynamics of a range of infectious disease epidemics. As a case study, we …

Modeling of Epidemic Transmission and Predicting the Spread of Infectious Disease.

I Husein, D Noerjoedianto, M Sakti… - … Reviews in Pharmacy, 2020 - search.ebscohost.com
China's Wuhan was the epicenter of coronavirus, reported in December 2019. A month later,
there was an intensive outbreak inception. Indeed, epidemiologists and virologists …

A hybrid approach to forecast the COVID-19 epidemic trend

SA Nawaz, J Li, UA Bhatti, SU Bazai, A Zafar, MA Bhatti… - Plos one, 2021 - journals.plos.org
Studying the progress and trend of the novel coronavirus pneumonia (COVID-19)
transmission mode will help effectively curb its spread. Some commonly used infectious …

Epidemic model guided machine learning for COVID-19 forecasts in the United States

D Zou, L Wang, P Xu, J Chen, W Zhang, Q Gu - MedRxiv, 2020 - medrxiv.org
We propose a new epidemic model (SuEIR) for forecasting the spread of COVID-19,
including numbers of confirmed and fatality cases at national and state levels in the United …

[HTML][HTML] Forecasting COVID-19 epidemic in India and high incidence states using SIR and logistic growth models

B Malavika, S Marimuthu, M Joy, A Nadaraj… - … and Global Health, 2021 - Elsevier
Abstract Background Ever since the Coronavirus disease (COVID-19) outbreak emerged in
China, there has been several attempts to predict the epidemic across the world with varying …

Fitting and forecasting the trend of COVID-19 by SEIR (+ CAQ) dynamic model

YY Wei, ZZ Lu, ZC Du, ZJ Zhang, Y Zhao… - Zhonghua liu xing …, 2020 - europepmc.org
Objectives: Fitting and forecasting the trend of COVID-19 epidemics. Methods: Based on
SEIR dynamic model, considering the COVID-19 transmission mechanism, infection …

Predictive modeling for epidemic outbreaks: A new approach and COVID-19 case study

J Chen, MC Fu, W Zhang, J Zheng - Asia-Pacific Journal of …, 2020 - World Scientific
Since the onset of the COVID-19 outbreak in Wuhan, China, numerous forecasting models
have been proposed to project the trajectory of coronavirus infection cases. Most of these …