COVID-19 outbreaks analysis in the Valencian Region of Spain in the prelude of the third wave

• Published in: Frontiers in public health Vol. 10; p. 1010124
• Main Authors: Fuente, David, Hervás, David, Rebollo, Miguel, Conejero, J Alberto, Oliver, Nuria
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 17-11-2022
• Subjects: Bayes Theorem; biomedical data science; cluster; COVID-19; COVID-19 - epidemiology; Disease Outbreaks; epidemiological analysis; Humans; outbreak modeling; Pandemics; Public Health; SARS-CoV-2; Spain - epidemiology; Spain; COVID-19; epidemiological analysis; cluster; SARS-CoV-2; Bayesian statistical model; outbreak modeling; biomedical data science
• ISSN: 2296-2565; 2296-2565
• DOI: 10.3389/fpubh.2022.1010124

The COVID-19 pandemic has led to unprecedented social and mobility restrictions on a global scale. Since its start in the spring of 2020, numerous scientific papers have been published on the characteristics of the virus, and the healthcare, economic and social consequences of the pandemic. However, in-depth analyses of the evolution of single coronavirus outbreaks have been rarely reported.
In this paper, we analyze the main properties of all the tracked COVID-19 outbreaks in the Valencian Region between September and December of 2020. Our analysis includes the evaluation of the origin, dynamic evolution, duration, and spatial distribution of the outbreaks.
We find that the duration of the outbreaks follows a power-law distribution: most outbreaks are controlled within 2 weeks of their onset, and only a few last more than 2 months. We do not identify any significant differences in the outbreak properties with respect to the geographical location across the entire region. Finally, we also determine the cluster size distribution of each infection origin through a Bayesian statistical model.
We hope that our work will assist in optimizing and planning the resource assignment for future pandemic tracking efforts.