ArticleGondwana research : international geoscience journal2023
The dynamics of early-stage transmission of COVID-19: A novel quantification of the role of global temperature.
Article in Gondwana research : international geoscience journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The coming Omicron waves and factors affecting its spread after China reopening borders.BMC medical informatics and decision making · 2023Article
- Study on the spatial decomposition of the infection probability of COVID-19.Scientific reports · 2023Article
- Analysis on the energy efficiency, thermal performance and infection intervention characteristics of interactive cascade ventilation (ICV).Journal of building engineering · 2023Article
- Modelling the reopen strategy from dynamic zero-COVID in China considering the sequela and reinfection.Scientific reports · 2023Article
- Does atmospheric dimethyldiselenide play a role in reducing COVID-19 mortality?Gondwana research : international geoscience journal · 2023Article
- Mortality in Catalonia during the summer of 2022 and its relation with high temperatures and COVID-19 cases.Frontiers in public health · 2023Article
- Analysis of COVID-19 outbreak in Hubei province based on Tencent's location big data.Frontiers in public health · 2023Article
- Study on the mechanism of public attention to a major event: The outbreak of COVID-19 in China.Sustainable cities and society · 2022Article
- Mapping climate change's impact on cholera infection risk in Bangladesh.PLOS global public health · 2022Article
Corrections and comments
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Authors and funding
1 author.
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Abstract
The global outbreak of COVID-19 has emerged as one of the most devastating and challenging threats to humanity. As many frontline workers are fighting against this disease, researchers are struggling to obtain a better understanding of the pathways and challenges of this pandemic. This paper evaluates the concept that the transmission of COVID-19 is intrinsically linked to temperature. Some complex nonlinear functional forms, such as the cubic function, are introduced to the empirical models to understand the interaction between temperature and the "growth" in the number of infected cases. An accurate quantitative interaction between temperature and the confirmed COVID-19 cases is obtained as log
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