Next Article in Journal
Promoting or Inhibiting? The Impact of Environmental Regulation on Corporate Financial Performance—An Empirical Analysis Based on China
Next Article in Special Issue
Impacts of COVID-19 on Trade and Economic Aspects of Food Security: Evidence from 45 Developing Countries
Previous Article in Journal
Perceived Versus Real Swimming Skills of Adolescents under Standard and Challenging Conditions: Exploring Water Competencies as an Approach to Drowning Prevention
Previous Article in Special Issue
The Exponential Phase of the Covid-19 Pandemic in Central Italy: An Integrated Care Pathway
Article

The Spread of the Covid-19 Pandemic in Time and Space

Louvain Institute of Data Analysis and Modelling in Economics and Statistics, Institute of Statistics, Biostatistics and Actuarial Sciences, Université Catholique de Louvain, Voie du Roman Pays, 20, 1348 Louvain-la-Neuve, Belgium
Int. J. Environ. Res. Public Health 2020, 17(11), 3827; https://doi.org/10.3390/ijerph17113827
Received: 11 May 2020 / Revised: 23 May 2020 / Accepted: 25 May 2020 / Published: 28 May 2020
As the COVID-19 pandemic has had a profound impact on public health and global economies in 2020; it is crucial to understand how it developed and spread in time and space. This paper contributes to the growing literature by considering the dynamics of country-wise growth rates of infection numbers. Low-order serial correlation of growth rates is predominantly negative with cycles of two to four days for most countries. The results of fitted spatial autoregressive models suggest that there is high degree of spillover between countries. Forecast variances of many countries, in particular those with a high absolute number of infections, can to a large extent be explained by structural innovations of other countries. A better understanding of the serial and spatial dynamics of the spread of the pandemic may contribute to an improved containment and risk management. View Full-Text
Keywords: corona virus; spatial autoregressions; stochastic cycles; contagion; LASSO; networks corona virus; spatial autoregressions; stochastic cycles; contagion; LASSO; networks
Show Figures

Figure 1

MDPI and ACS Style

Hafner, C.M. The Spread of the Covid-19 Pandemic in Time and Space. Int. J. Environ. Res. Public Health 2020, 17, 3827. https://doi.org/10.3390/ijerph17113827

AMA Style

Hafner CM. The Spread of the Covid-19 Pandemic in Time and Space. International Journal of Environmental Research and Public Health. 2020; 17(11):3827. https://doi.org/10.3390/ijerph17113827

Chicago/Turabian Style

Hafner, Christian M. 2020. "The Spread of the Covid-19 Pandemic in Time and Space" International Journal of Environmental Research and Public Health 17, no. 11: 3827. https://doi.org/10.3390/ijerph17113827

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop