Mapping Time Lags in Epidemics
The COVID-19 pandemic has prompted a surge in research efforts to understand its transmission dynamics and societal
impact. In this study, we focus on Spain, a nation significantly affected by the pandemic, analyzing relationships between daily movement within and between its 52 provinces (Ponce-de-Leon et al 2021) alongside daily counts of COVID-19 active cases. By employing lagged correlation and Granger causality analyses, we aim to unveil the temporal relationships between mobility and disease spread, shedding light on crucial factors influencing the pandemic’s trajectory. Such insights help to inform targeted interventions and public health strategies aimed at curbing the spread of infectious diseases.
- Published in:
Abstracts of the ICA - Type:
Article - Authors:
Andrienko, Gennady; Andrienko, Natalia; Ponce-de-Leon, Miguel - Year:
2024
Citation information
Andrienko, Gennady; Andrienko, Natalia; Ponce-de-Leon, Miguel: Mapping Time Lags in Epidemics, Abstracts of the ICA, 2024, 8, 2, https://ica-abs.copernicus.org/articles/8/2/2024/, Andrienko.etal.2024c,
@Article{Andrienko.etal.2024c,
author={Andrienko, Gennady; Andrienko, Natalia; Ponce-de-Leon, Miguel},
title={Mapping Time Lags in Epidemics},
journal={Abstracts of the ICA},
volume={8},
pages={2},
url={https://ica-abs.copernicus.org/articles/8/2/2024/},
year={2024},
abstract={The COVID-19 pandemic has prompted a surge in research efforts to understand its transmission dynamics and societal
impact. In this study, we focus on Spain, a nation significantly affected by the pandemic, analyzing relationships between daily movement within and between its 52 provinces (Ponce-de-Leon et al 2021) alongside daily counts of COVID-19 active cases. By employing lagged correlation...}}
