Lockdown design: which features of lockdowns are most important to COVID-19 experts?

Wesselbaum, Dennis; Hansen, Paul

doi:10.1080/03036758.2022.2048675

Cited by 4 publications

(3 citation statements)

References 21 publications

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“…Preference studies are surveys that ask respondents to make trade-offs between different choices, through which participants 'state their preferences'. At various points during the pandemic, Discrete Choice Experiments have been designed, focussing on the health impacts of different COVID-19 policies in the United Kingdom, 23 features of lockdowns [24][25][26] and social distancing strategies. 27,28 These generate important information, for example, the measures of harms or restrictions considered worthwhile to reduce infection risk.…”

Section: Covid-19 Public Preferences and Perspectivesmentioning

confidence: 99%

From polarity to plurality: Perceptions of COVID‐19 and policy measures in England and Scotland

Rendall,

McHugh,

Baker

et al. 2024

Health Expectations

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AimThe aim of this study was to uncover perspectives on the COVID‐19 pandemic and the responses implemented by the UK and Scottish Governments to help control the spread of infection. Such understanding could help to inform future responses to pandemics at individual, community and national levels.MethodQ methodology was used to elicit perspectives from people in England and Scotland with different experiences of the pandemic including public health officials, key workers, those on furlough, those who were unvaccinated or vaccinated to different levels, those who were ‘shielding’ because they were at higher risk and people with different scientific expertise. Participants rank‐ordered phrases about different aspects of COVID‐19 according to their viewpoint. Factor analysis was then conducted in conjunction with interview material from the same respondents.ResultsA four‐factor solution was statistically supported and was interpretable alongside the qualitative accounts of participants loading on these factors. These four perspectives are titled Dangerous and Unaccountable Leadership, Fear and Anger at Policy and Public responses, Governing Through a Crisis and Injustices Exposed.ConclusionThe four perspectives demonstrate plurality and nuance in views on COVID‐19 and the associated policies and restrictions, going beyond a binary narrative that has been apparent in popular and social media. The four perspectives include some areas of common ground, as well as disagreement. We argue that understanding the detail of different perspectives might be used to build cohesion around policy initiatives in future.Patient or Public ContributionThe development of the statement set, which is rank‐ordered by participants in a Q study, and factor interpretations were informed by views of the general public. The statement set was initially developed using existing publicly available material based on members of the general public experiencing the pandemic first hand. It was then piloted with members of the public experiencing different challenges as a result of COVID‐19 and the subsequent lockdown and updated based on feedback. Finally, interpretations of the identified factors were presented publicly and edited according to their feedback.

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Section: Covid-19 Public Preferences and Perspectivesmentioning

confidence: 99%

From polarity to plurality: Perceptions of COVID‐19 and policy measures in England and Scotland

Rendall,

McHugh,

Baker

et al. 2024

Health Expectations

View full text Add to dashboard Cite

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“…It restricts mobility or operations in a society while letting only those organizations operate regularly that provide essential goods and services. The extent of enforcement required in the implementation of lockdown can vary depending on necessity [73]. A lengthy lockdown may have highly negative effects on the economy.…”

Section: Effect Of Lockdownsmentioning

confidence: 99%

Modeling Consequences of COVID-19 and Assessing Its Epidemiological Parameters: A System Dynamics Approach

et al. 2023

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In 2020, coronavirus (COVID-19) was declared a global pandemic and it remains prevalent today. A necessity to model the transmission of the virus has emerged as a result of COVID-19’s exceedingly contagious characteristics and its rapid propagation throughout the world. Assessing the incidence of infection could enable policymakers to identify measures to halt the pandemic and gauge the required capacity of healthcare centers. Therefore, modeling the susceptibility, exposure, infection, and recovery in relation to the COVID-19 pandemic is crucial for the adoption of interventions by regulatory authorities. Fundamental factors, such as the infection rate, mortality rate, and recovery rate, must be considered in order to accurately represent the behavior of the pandemic using mathematical models. The difficulty in creating a mathematical model is in identifying the real model variables. Parameters might vary significantly across models, which can result in variations in the simulation results because projections primarily rely on a particular dataset. The purpose of this work was to establish a susceptible–exposed–infected–recovered (SEIR) model describing the propagation of the COVID-19 outbreak throughout the Kingdom of Saudi Arabia (KSA). The goal of this study was to derive the essential COVID-19 epidemiological factors from actual data. System dynamics modeling and design of experiment approaches were used to determine the most appropriate combination of epidemiological parameters and the influence of COVID-19. This study investigates how epidemiological variables such as seasonal amplitude, social awareness impact, and waning time can be adapted to correctly estimate COVID-19 scenarios such as the number of infected persons on a daily basis in KSA. This model can also be utilized to ascertain how stress (or hospital capacity) affects the percentage of hospitalizations and the number of deaths. Additionally, the results of this study can be used to establish policies or strategies for monitoring or restricting COVID-19 in Saudi Arabia.

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“…The trade-off questions are repeated with different pairs of criteria and outcome scenarios. Each time the decision-maker answers a trade-off question, all other scenario pairs that can be pairwise ranked by applying the logical property of 'transitivity' are identified and eliminated ( Wesselbaum, 2022 ). Simulations have shown that if the decision-maker explicitly ranks undominated pairs defined on just two criteria at-a-time, the overall ranking of alternatives produced by the value model is very highly correlated with the true ranking of all possible trade-offs ( Hansen & Ombler, 2008 ).…”

Section: Determining the Weights For The Different Decision-making Cr...mentioning

confidence: 99%

Assessing options for cannabis law reform: A Multi-Criteria Decision Analysis (MCDA) with stakeholders in New Zealand

Wilkins

Rychert

Queirolo

et al. 2022

International Journal of Drug Policy

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Lockdown design: which features of lockdowns are most important to COVID-19 experts?

Cited by 4 publications

References 21 publications

From polarity to plurality: Perceptions of COVID‐19 and policy measures in England and Scotland

From polarity to plurality: Perceptions of COVID‐19 and policy measures in England and Scotland

Modeling Consequences of COVID-19 and Assessing Its Epidemiological Parameters: A System Dynamics Approach

Assessing options for cannabis law reform: A Multi-Criteria Decision Analysis (MCDA) with stakeholders in New Zealand

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