ArticleProcess safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B2021
Analysis on the spatio-temporal characteristics of COVID-19 in mainland China.
Article in Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Spatio-Temporal COVID-19 Modeling: A Global Systematic Review of Data Integration, Equity, and Lessons for Pandemic Preparedness.International journal of environmental research and public health · 2026Pooled it
- Evolution of COVID-19 dynamics in Guangdong Province, China: an endemic-epidemic modeling study.Archives of public health = Archives belges de sante publique · 2024Article
- Linkage between Airborne Particulate Matter and Viral Pandemic COVID-19 in Bucharest.Microorganisms · 2023Article
- Spatiotemporal dynamics of confirmed case distribution during the COVID-19 pandemic in China: data comparison between 2020/04-2020/08 and 2021/04-2021/08.Scientific reports · 2023Article
- Cumulative effects of air pollution and climate drivers on COVID-19 multiwaves in Bucharest, Romania.Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B · 2022Article
- Safety, environmental and risk management related to Covid-19.Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B · 2022Article
- Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review.Frontiers in public health · 2022Review
- Assessing the impact of air pollution and climate seasonality on COVID-19 multiwaves in Madrid, Spain.Environmental research · 2022Article
- Deep learning model for forecasting COVID-19 outbreak in Egypt.Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B · 2021Article
- Exploring the linkage between seasonality of environmental factors and COVID-19 waves in Madrid, Spain.Process safety and environmental protection : transactions of the Institution of Chemical Engineers, Part B · 2021Article
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6 authors.
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Abstract
COVID-19 has brought many unfavorable effects on humankind and taken away many lives. Only by understanding it more profoundly and comprehensively can it be soundly defeated. This paper is dedicated to studying the spatial-temporal characteristics of the epidemic development at the provincial-level in mainland China and the civic-level in Hubei Province. Moreover, a correlation analysis on the possible factors that cause the spatial differences in the epidemic's degree is conducted. After completing these works, three different methods are adopted to fit the daily-change tendencies of the number of confirmed cases in mainland China and Hubei Province. The three methods are the Logical Growth Model (LGM), Polynomial fitting, and Fully Connected Neural Network (FCNN). The analysis results on the spatial-temporal differences and their influencing factors show that: (1) The Chinese government has contained the domestic epidemic in early March 2020, indicating that the number of newly diagnosed cases has almost zero increase since then. (2) Throughout the entire mainland of China, effective manual intervention measures such as community isolation and urban isolation have significantly weakened the influence of the subconscious factors that may impact the spatial differences of the epidemic. (3) The classification results based on the number of confirmed cases also prove the effectiveness of the isolation measures adopted by the governments at all levels in China from another aspect. It is reflected in the small monthly grade changes (even no change) in the provinces of mainland China and the cities in Hubei Province during the study period. Based on the experimental results of curve-fitting and considering the time cost and goodness of fit comprehensively, the Polynomial(
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