Modelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices

The COVID-19 pandemic has been particularly threatening to patients with end-stage kidney disease (ESKD) on intermittent hemodialysis and their care providers. Hemodialysis patients who receive life-sustaining medical therapy in healthcare settings, face unique challenges as they need to be at a dia...

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Autores principales:	Mohammadali Tofighi, Ali Asgary, Asad A. Merchant, Mohammad Ali Shafiee, Mahdi M. Najafabadi, Nazanin Nadri, Mehdi Aarabi, Jane Heffernan, Jianhong Wu
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/eb02f4e317bd4d8ab7ce167d9f811c6a
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spelling	oai:doaj.org-article:eb02f4e317bd4d8ab7ce167d9f811c6a2021-11-25T06:19:30ZModelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices1932-6203https://doaj.org/article/eb02f4e317bd4d8ab7ce167d9f811c6a2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604317/?tool=EBIhttps://doaj.org/toc/1932-6203The COVID-19 pandemic has been particularly threatening to patients with end-stage kidney disease (ESKD) on intermittent hemodialysis and their care providers. Hemodialysis patients who receive life-sustaining medical therapy in healthcare settings, face unique challenges as they need to be at a dialysis unit three or more times a week, where they are confined to specific settings and tended to by dialysis nurses and staff with physical interaction and in close proximity. Despite the importance and critical situation of the dialysis units, modelling studies of the SARS-CoV-2 spread in these settings are very limited. In this paper, we have used a combination of discrete event and agent-based simulation models, to study the operations of a typical large dialysis unit and generate contact matrices to examine outbreak scenarios. We present the details of the contact matrix generation process and demonstrate how the simulation calculates a micro-scale contact matrix comprising the number and duration of contacts at a micro-scale time step. We have used the contacts matrix in an agent-based model to predict disease transmission under different scenarios. The results show that micro-simulation can be used to estimate contact matrices, which can be used effectively for disease modelling in dialysis and similar settings.Mohammadali TofighiAli AsgaryAsad A. MerchantMohammad Ali ShafieeMahdi M. NajafabadiNazanin NadriMehdi AarabiJane HeffernanJianhong WuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mohammadali Tofighi Ali Asgary Asad A. Merchant Mohammad Ali Shafiee Mahdi M. Najafabadi Nazanin Nadri Mehdi Aarabi Jane Heffernan Jianhong Wu Modelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices
description	The COVID-19 pandemic has been particularly threatening to patients with end-stage kidney disease (ESKD) on intermittent hemodialysis and their care providers. Hemodialysis patients who receive life-sustaining medical therapy in healthcare settings, face unique challenges as they need to be at a dialysis unit three or more times a week, where they are confined to specific settings and tended to by dialysis nurses and staff with physical interaction and in close proximity. Despite the importance and critical situation of the dialysis units, modelling studies of the SARS-CoV-2 spread in these settings are very limited. In this paper, we have used a combination of discrete event and agent-based simulation models, to study the operations of a typical large dialysis unit and generate contact matrices to examine outbreak scenarios. We present the details of the contact matrix generation process and demonstrate how the simulation calculates a micro-scale contact matrix comprising the number and duration of contacts at a micro-scale time step. We have used the contacts matrix in an agent-based model to predict disease transmission under different scenarios. The results show that micro-simulation can be used to estimate contact matrices, which can be used effectively for disease modelling in dialysis and similar settings.
format	article
author	Mohammadali Tofighi Ali Asgary Asad A. Merchant Mohammad Ali Shafiee Mahdi M. Najafabadi Nazanin Nadri Mehdi Aarabi Jane Heffernan Jianhong Wu
author_facet	Mohammadali Tofighi Ali Asgary Asad A. Merchant Mohammad Ali Shafiee Mahdi M. Najafabadi Nazanin Nadri Mehdi Aarabi Jane Heffernan Jianhong Wu
author_sort	Mohammadali Tofighi
title	Modelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices
title_short	Modelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices
title_full	Modelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices
title_fullStr	Modelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices
title_full_unstemmed	Modelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices
title_sort	modelling covid-19 transmission in a hemodialysis centre using simulation generated contacts matrices
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/eb02f4e317bd4d8ab7ce167d9f811c6a
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Modelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices

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