Are spatial patterns of Covid‐19 changing? Spatiotemporal analysis over four waves in the region of Cantabria, Spain

Abstract

This research approaches the empirical study of the pandemic from a social science perspective. The main goal is to reveal spatiotemporal changes in Covid‐19, at regional scale, using GIS technologies and the emerging three‐dimensional bins method. We analyze a case study of the region of Cantabria (northern Spain) based on 29,288 geocoded positive Covid‐19 cases in the four waves from the outset in March 2020 to June 2021. Our results suggest three main spatial processes: a reversal in the spatial trend, spreading first followed by contraction in the third and fourth waves; then the reduction of hot spots that represent problematic areas because of high presence of cases and growing trends; and finally, an increase in cold spots. All this generates relevant knowledge to help policy‐makers from regional governments to design efficient containment and mitigation strategies. Our research is conducted from a geoprevention perspective, based on the application of targeted measures depending on spatial patterns of Covid‐19 in real time. It represents an opportunity to reduce the socioeconomic impact of global containment measures in pandemic management.

Spatiotemporal multiscale diagnosis model to proactively respond to the multi‐country monkeypox virus outbreak in 2022

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Environmental and geographical factors influencing the spread of SARS-CoV-2 over 2 years: a fine-scale spatiotemporal analysis

“…Human mobility, connectivity, and transportation have been identified as key factors facilitating the virus' spread (14,(19)(20)(21)(22). Additionally, other reports have emphasized the importance of socioeconomic conditions, with socioeconomically deprived populations facing higher rates of exposure, incidence, and mortality (7,(23)(24)(25).…”

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