The influence of weather conditions on the COVID-19 epidemic: Evidence from 279 prefecture-level panel data in China

R Lin, X Wang, J Huang - Environmental Research, 2022 - Elsevier
Studying the influence of weather conditions on the COVID-19 epidemic is an emerging
field. However, existing studies in this area tend to utilize time-series data, which have …

Using weather factors and google data to predict COVID-19 transmission in Melbourne, Australia: A time-series predictive model

H McClymont, X Si, W Hu - Heliyon, 2023 - cell.com
Background Forecast models have been essential in understanding COVID-19 transmission
and guiding public health responses throughout the pandemic. This study aims to assess …

[HTML][HTML] Future perspectives of emerging infectious diseases control: a One Health approach

H McClymont, H Bambrick, X Si, S Vardoulakis, W Hu - One Health, 2022 - Elsevier
Since the beginning of the COVID-19 pandemic in early 2020, global efforts to respond to
and control COVID-19 have varied widely with some countries, including Australia …

Early prediction of SARS-CoV-2 reproductive number from environmental, atmospheric and mobility data: A supervised machine learning approach

PF Caruso, G Angelotti, M Greco, G Guzzetta… - International journal of …, 2022 - Elsevier
Introduction SARS-CoV-2 was declared a pandemic by the WHO on March 11th, 2020.
Public protective measures were enforced in every country to limit the diffusion of SARS …

Do Weather Conditions Still Have an Impact on the COVID-19 Pandemic? An Observation of the Mid-2022 COVID-19 Peak in Taiwan

WY Lin, HH Lin, SA Chang, TC Chen Wang, JC Chen… - Microorganisms, 2024 - mdpi.com
Since the onset of the COVID-19 pandemic in 2019, the role of weather conditions in
influencing transmission has been unclear, with results varying across different studies …

[HTML][HTML] Comparisons of different statistical models for analyzing the effects of meteorological factors on COVID-19

Y Zheng, Z Guo, Z Wu, J Wen, H Hou - Frigid Zone Medicine, 2023 - degruyter.com
Objective This general non-systematic review aimed to gather information on reported
statistical models examing the effects of meteorological factors on coronavirus disease 2019 …

Application of Machine Learning Techniques in COVID-19 Epidemiology: A Glimpse

R Chaurasia, U Ghose - Machine Learning and Artificial …, 2023 - api.taylorfrancis.com
Since the beginning of the novel coronavirus epidemic in Wuhan, China around December
2019, the world has been shaken by the amplitude of this infectious outbreak we now call …

Forecasting analysis of COVID-19 patient recovery using RF-DT model

AK Awasthi, M Sharma, AK Garov - AIP Conference Proceedings, 2023 - pubs.aip.org
This paper is to analyse and to foretell the effect of COVID-19. This virus constantly changes
due to mutation and hence there are many variants like Delta, Omicron, Alpha, Beta, and …

Do weather conditions affect COVID-19 epidemic? evidence based on panel data of Prefecture-level administrative regions in China

R Lin, X Wang, J Huang - 2021 - researchsquare.com
Background: Similar to other infectious diseases, weather conditions may affect the COVID-
19 epidemic through changes to transmission dynamics, host susceptibility, and virus …

[PDF][PDF] 3 Application of Machine Learning Techniques in COVID-19 Epidemiology: A Glimpse

R Chaurasia, U Ghose - Machine Learning and Artificial Intelligence … - medfac.mans.edu.eg
Since the beginning of the novel coronavirus epidemic in Wuhan, China around December
2019, the world has been shaken by the amplitude of this infectious outbreak we now call …