Health systems simulation modelling to support decision-making in Covid-19 prevention and control in care homes

Le Khanh Ngan Nguyen; Susan Howick; Itamar Megiddo

doi:10.36819/SW23.021

Health systems simulation modelling to support decision-making in Covid-19 prevention and control in care homes

Le Khanh Ngan Nguyen, Susan Howick, Itamar Megiddo

Management Science

Research output: Contribution to conference › Proceeding › peer-review

33 Downloads (Pure)

Abstract

The COVID-19 pandemic has highlighted care homes’ vulnerability to infectious disease outbreaks and the lack of context-specific best practice infection prevention and control (IPC) guidance for this setting. Care homes, where the majority of residents are elderly and have complex medical and care needs, have suffered devastating outcomes. Suspension of visiting due to COVID-19 outbreaks has also caused substantial unintended harms to the health and wellbeing of residents.

Since April 2020, we have collaborated with decision-makers from Health and Social Care Lanarkshire (HSCL) in Scotland, the Scottish Government, and the UK Government Department of Health and Social Care to provide evidence to support them in mitigating the impact of COVID-19 in care homes. We developed novel systems simulation models, which included agent-based models (ABM) and hybrid System Dynamics (SD) – ABM models, to help address the gaps in IPC knowledge
and practice in this setting.

Original language	English
Pages	182-183
Number of pages	2
DOIs	https://doi.org/10.36819/SW23.021
Publication status	Published - 27 Mar 2023
Event	The Operational Research Society Simulation Workshop 2023 - National Oceanography Centre, Southampton, United Kingdom Duration: 27 Mar 2023 → 29 Mar 2023 https://www.theorsociety.com/events/simulation-workshop/

Conference

Conference	The Operational Research Society Simulation Workshop 2023
Abbreviated title	SW23
Country/Territory	United Kingdom
City	Southampton
Period	27/03/23 → 29/03/23
Internet address	https://www.theorsociety.com/events/simulation-workshop/

Keywords

health systems
simulation
modelling
decision-making
Covid-19
prevention
control
care homes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.36819/SW23.021Licence: CC BY 3.0

Nguyen-etal-SW-2023-Health-systems-simulation-modelling-to-support-decision-making-in-Covid-19-preventionFinal published version, 775 KBLicence: CC BY 3.0

1 Participation in conference
1 Policy Outreach
1 Invited talk
1 Oral presentation

Future Organisation: Social Care Futures
Itamar Megiddo (Speaker), Le Khanh Ngan Nguyen (Speaker) & Robert van der Meer (Speaker)
11 May 2023
Activity: Talk or presentation types › Invited talk
The Operational Research Society Simulation Workshop 2023
Le Khanh Ngan Nguyen (Participant)
27 Mar 2023 → 29 Mar 2023
Activity: Participating in or organising an event types › Participation in conference
Mitigating the spread of COVID-19 in care homes: working with homes and modelling to assess the effectiveness of interventions
Itamar Megiddo (Speaker)
9 May 2022
Activity: Talk or presentation types › Oral presentation

Cite this

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title = "Health systems simulation modelling to support decision-making in Covid-19 prevention and control in care homes",

abstract = "The COVID-19 pandemic has highlighted care homes{\textquoteright} vulnerability to infectious disease outbreaks and the lack of context-specific best practice infection prevention and control (IPC) guidance for this setting. Care homes, where the majority of residents are elderly and have complex medical and care needs, have suffered devastating outcomes. Suspension of visiting due to COVID-19 outbreaks has also caused substantial unintended harms to the health and wellbeing of residents.Since April 2020, we have collaborated with decision-makers from Health and Social Care Lanarkshire (HSCL) in Scotland, the Scottish Government, and the UK Government Department of Health and Social Care to provide evidence to support them in mitigating the impact of COVID-19 in care homes. We developed novel systems simulation models, which included agent-based models (ABM) and hybrid System Dynamics (SD) – ABM models, to help address the gaps in IPC knowledgeand practice in this setting. ",

keywords = "health systems, simulation, modelling, decision-making, Covid-19, prevention, control, care homes",

author = "Nguyen, {Le Khanh Ngan} and Susan Howick and Itamar Megiddo",

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doi = "10.36819/SW23.021",

language = "English",

pages = "182--183",

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T1 - Health systems simulation modelling to support decision-making in Covid-19 prevention and control in care homes

AU - Nguyen, Le Khanh Ngan

AU - Howick, Susan

AU - Megiddo, Itamar

PY - 2023/3/27

Y1 - 2023/3/27

N2 - The COVID-19 pandemic has highlighted care homes’ vulnerability to infectious disease outbreaks and the lack of context-specific best practice infection prevention and control (IPC) guidance for this setting. Care homes, where the majority of residents are elderly and have complex medical and care needs, have suffered devastating outcomes. Suspension of visiting due to COVID-19 outbreaks has also caused substantial unintended harms to the health and wellbeing of residents.Since April 2020, we have collaborated with decision-makers from Health and Social Care Lanarkshire (HSCL) in Scotland, the Scottish Government, and the UK Government Department of Health and Social Care to provide evidence to support them in mitigating the impact of COVID-19 in care homes. We developed novel systems simulation models, which included agent-based models (ABM) and hybrid System Dynamics (SD) – ABM models, to help address the gaps in IPC knowledgeand practice in this setting.

AB - The COVID-19 pandemic has highlighted care homes’ vulnerability to infectious disease outbreaks and the lack of context-specific best practice infection prevention and control (IPC) guidance for this setting. Care homes, where the majority of residents are elderly and have complex medical and care needs, have suffered devastating outcomes. Suspension of visiting due to COVID-19 outbreaks has also caused substantial unintended harms to the health and wellbeing of residents.Since April 2020, we have collaborated with decision-makers from Health and Social Care Lanarkshire (HSCL) in Scotland, the Scottish Government, and the UK Government Department of Health and Social Care to provide evidence to support them in mitigating the impact of COVID-19 in care homes. We developed novel systems simulation models, which included agent-based models (ABM) and hybrid System Dynamics (SD) – ABM models, to help address the gaps in IPC knowledgeand practice in this setting.

KW - health systems

KW - simulation

KW - modelling

KW - decision-making

KW - Covid-19

KW - prevention

KW - control

KW - care homes

U2 - 10.36819/SW23.021

DO - 10.36819/SW23.021

M3 - Proceeding

SP - 182

EP - 183

T2 - The Operational Research Society Simulation Workshop 2023

Y2 - 27 March 2023 through 29 March 2023

ER -

Health systems simulation modelling to support decision-making in Covid-19 prevention and control in care homes

Abstract

Conference

Keywords

UN SDGs

Access to Document

Fingerprint

Activities

Future Organisation: Social Care Futures

The Operational Research Society Simulation Workshop 2023

Mitigating the spread of COVID-19 in care homes: working with homes and modelling to assess the effectiveness of interventions

Cite this