Unknown

Dataset Information

Key epidemiological indicators and spatial autocorrelation patterns across five waves of COVID-19 in Catalonia.


ABSTRACT: This research studies the evolution of COVID-19 crude incident rates, effective reproduction number R(t) and their relationship with incidence spatial autocorrelation patterns in the 19 months following the disease outbreak in Catalonia (Spain). A cross-sectional ecological panel design based on n = 371 health-care geographical units is used. Five general outbreaks are described, systematically preceded by generalized values of R(t) > 1 in the two previous weeks. No clear regularities concerning possible initial focus appear when comparing waves. As for autocorrelation, we identify a wave's baseline pattern in which global Moran's I increases rapidly in the first weeks of the outbreak to descend later. However, some waves significantly depart from the baseline. In the simulations, both bas

SUBMITTER: Belvis F 

PROVIDER: S-EPMC10272129 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature