Modeling epidemic recovery: An expert elicitation on issues and approaches

Schoch-Spana, Monica; Ravi, Sanjana; Martín, Elena

doi:10.1016/j.socscimed.2021.114554

Cited by 4 publications

(2 citation statements)

References 40 publications

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“…Moreover, SLR can be applied to provide in-depth answers to specific questions from a multi-disciplinary perspective [ 30 , 31 ]. PCA is commonly used to reduce the dimensionality of data by introducing uncorrelated variables to separate the mostly correlated variables into further dimensions, with the principal component explaining the most variance [ 32 , 33 ]. It can effectively investigate the underlying relationship among the influencing factors [ 1 , 34 ].…”

Section: Methodsmentioning

confidence: 99%

Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China

Cui

Liu

et al. 2022

IJERPH

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COVID-19 has posed a significantly severe impact on both people’s lives and the global economic development. Increasing the community epidemic resilience will considerably improve the national public health emergency response capacity from bottom to top. This study identifies the influencing factors of community epidemic resilience through systematic literature review under the 4R framework, then obtains the relationships of influencing factors through Interpretive structural model, and finally assesses the performance of epidemic resilience using PROMETHEE II method through empirical cases in Nanjing, China. The results show that: (1) Eight factors influencing the epidemic resilience of community are identified, and the economic level plays the root role; (2) Community epidemic resilience can be improved from robustness, rapidity, redundancy and resourcefulness aspects; (3) Through the empirical analysis, the epidemic resilience ranking of community can be displayed (Community D > T > S > F); (4) Additionally, the performance and sensitivity analysis of influencing factors in each community can be demonstrated. (5) Finally, four implications are proposed, namely, allocating public resources rationally, significantly increasing the economic level, ensuring the accuracy of information delivery and conducting disaster learning.

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Section: Methodsmentioning

confidence: 99%

Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China

Cui

Liu

et al. 2022

IJERPH

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“…To identify key CEPC factors, some scholars have studied the quantitative or qualitative relationship between influencing factors and the capacity of community resilience. For example, through Grounded Theory, identifying the factors as a result of which urban residents fail to respond to the governance of the community epidemic in a timely manner and the mechanism of action between them [ 33 ], or recognizing the influencing factors (political, economic, socio-cultural, infrastructure and human health) of community epidemic recovery [ 34 ]; validating the relationship model between community awareness, community resilience and mental health through Structural Equation Modeling [ 35 ]; using the Pearson Correlation Coefficient to characterize the correlation between the number of confirmed cases of COVID-19 in Wuhan and socioeconomic factors such as community characteristics and distance variables [ 36 ]; the impact of the level of urban governance on CEPC and the mental health risk of residents is analyzed by Ordinary Least Squares [ 37 , 38 , 39 ]; using Multiple Linear Regression to analyze the main influencing factors and influence degree of community resilience during the epidemic [ 5 ]; establishing a Relative Importance Matrix to analyze the relationship between community residents’ satisfaction and local government performance during the COVID-19 epidemic [ 40 ]; using Sensitivity Analysis to evaluate the impact of key influencing factors on the epidemic contribution of disaster response capability [ 41 ].…”

Section: Research Progressmentioning

confidence: 99%

Research Progress and Improvement Ideas of Anti-Epidemic Resilience in China’s Urban Communities

Cui

Zou

et al. 2022

IJERPH

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In the post-epidemic era, China’s urban communities are at the forefront of implementing the whole chain of accurate epidemic prevention and control. However, the uncertainty of COVID-19, the loopholes in community management and people’s overly optimistic judgment of the epidemic have led to the frequent rebound of the epidemic and serious consequences. Existing studies have not yet formed a panoramic framework of community anti-epidemic work under the concept of resilience. Therefore, this article first summarizes the current research progress of resilient communities from three perspectives, including ideas and perspectives, theories and frameworks and methods and means, and summarizes the gap of the current research. Then, an innovative idea on the epidemic resilience of urban communities in China is put forward: (1) the evolution mechanism of community anti-epidemic resilience is described through the change law of dynamic networks; (2) the anti-epidemic resilience of urban communities is evaluated or predicted through the measurement criteria; (3) a simulation platform based on Multi-Agent and dynamic Bayesian networks simulates the interactive relationship between “epidemic disturbance–cost constraint-–epidemic resilience”; (4) the anti-epidemic strategies are output intelligently to provide community managers with decision-making opinions on community epidemic prevention and control.

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Recovery for Development: A Multi-Dimensional, Practice-Oriented Framework for Transformative Change Post-Disaster

Mcclelland

Shaw

O’Grady

et al. 2022

The Journal of Development Studies

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Modeling epidemic recovery: An expert elicitation on issues and approaches

Cited by 4 publications

References 40 publications

Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China

Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China

Research Progress and Improvement Ideas of Anti-Epidemic Resilience in China’s Urban Communities

Recovery for Development: A Multi-Dimensional, Practice-Oriented Framework for Transformative Change Post-Disaster

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