Spatio-temporal model to investigate COVID-19 spread accounting for the mobility amongst municipalities.

Spat Spatiotemporal Epidemiol

Interuniversity Institute for Biostatistics and statistical Bioinformatics, Data Science Institute, Hasselt University, Belgium. Electronic address:

Published: June 2023

The rapid spread of COVID-19 worldwide led to the implementation of various non-pharmaceutical interventions to limit transmission and hence reduce the number of infections. Using telecom-operator-based mobility data and a spatio-temporal dynamic model, the impact of mobility on the evolution of the pandemic at the level of the 581 Belgian municipalities is investigated. By decomposing incidence, particularly into within- and between-municipality components, we noted that the global epidemic component is relatively more important in larger municipalities (e.g., cities), while the local component is more relevant in smaller (rural) municipalities. Investigation of the effect of mobility on the pandemic spread showed that reduction of mobility has a significant impact in reducing the number of new infections.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904848PMC
http://dx.doi.org/10.1016/j.sste.2023.100568DOI Listing

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