Using Spatial Interaction Models to Track and Model the Spatial and Temporal Distribution of COVID-19: Case Studies from Central and East Europe (CEE) in the Third Year of the Pandemic-Reference-Cited by-同舟云学术

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Using Spatial Interaction Models to Track and Model the Spatial and Temporal Distribution of COVID-19: Case Studies from Central and East Europe (CEE) in the Third Year of the Pandemic

Published:2024 Issue: Volume: Page:439-465
ISSN:
Container-title:Geo-information for Disaster Monitoring and Management
language:en
Short-container-title:

Author:

Werner Piotr A.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-51053-3_20

Reference29 articles.

1. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Automat Contr 19:716–723. https://doi.org/10.1109/TAC.1974.1100705

2. Brauer F (2017) Mathematical epidemiology: past, present, and future. Infect Dis Modell 2:113–127. https://doi.org/10.1016/j.idm.2017.02.001

3. Brauer F, Castillo-Chavez C (2012) Mathematical models in population biology and epidemiology, texts in applied mathematics. Springer, New York

4. COVID-19 (2022) Open data explorer. https://open-covid-19.github.io/explorer/. Accessed 7 Sept 2022

5. Dangermond J, Vito CD, Pesaresi C (2020) Using GIS in the time of the COVID-19 crisis, casting a glance at the future: a joint discussion. J Read J Res Didat Geogr 1:195–205

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