Computationally efficient parameter estimation for spatial individual-level models of infectious disease transmission-Reference-Cited by-同舟云学术

Computationally efficient parameter estimation for spatial individual-level models of infectious disease transmission

Published:2022-06 Issue: Volume:41 Page:100497
ISSN:1877-5845
Container-title:Spatial and Spatio-temporal Epidemiology
language:en
Short-container-title:Spatial and Spatio-temporal Epidemiology

Author:

Ward Madeline A.^ORCID,Deeth Lorna E.,Deardon Rob

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Infectious Diseases,Geography, Planning and Development,Epidemiology

Reference23 articles.

1. Incorporating contact network uncertainty in individual level models of infectious disease using approximate Bayesian computation;Almutiry;Int. J. Biostat.,2020

2. Adaptive approximate Bayesian computation;Beaumont;Biometrika,2009

3. Approximate Bayesian computation for spatial SEIR(S) epidemic models;Brown;Spat. Spatio Temporal Epidemiol.,2018

4. Inference for individual-level models of infectious diseases in large populations;Deardon;Statist. Sinica,2010

5. Latent conditional individual-level models for infectious disease modeling;Deeth;Int. J. Biostat.,2013

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