Analytical simulation methodology for nonlinear spatiotemporal models: Spatial salience in Covid-19 contagion-Reference-Cited by-同舟云学术

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Analytical simulation methodology for nonlinear spatiotemporal models: Spatial salience in Covid-19 contagion

Published:2024-08 Issue: Volume:62 Page:100844
ISSN:2211-6753
Container-title:Spatial Statistics
language:en
Short-container-title:Spatial Statistics

Author:

Beenstock Michael,Cohen Yoel,Felsenstein Daniel^ORCID

Publisher

Elsevier BV

Reference25 articles.

1. Freedom of information and personal confidentiality in spatial Covid-19 data;Beenstock;J. Off. Stat.,2021

2. Spatial econometric analysis of spatial general equilibrium;Beenstock;Spat. Econ. Anal.,2018

3. The joint determination of morbidity and vaccination in the spatiotemporal epidemiology of Covid-19;Beenstock;Spat. SpatiotempOral Epidemiol.,2023

4. Modelling Systemic COVID-19 Impacts in Cities;Beevers;NPJ Urban Sustainability,2022

5. Endemic-epidemic models to understand COVID-19 spatio-temporal evolution;Celani;Spat. Stat.,2022

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