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Communication

Developing Complexity-Informed COVID-19 Responses to Optimize Community Well-Being: A Systems Thinking Approach

1
Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
2
Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Leandro Garcia, Ruth Hunter and Jason Thompson
Systems 2021, 9(3), 68; https://doi.org/10.3390/systems9030068
Received: 5 July 2021 / Revised: 1 September 2021 / Accepted: 7 September 2021 / Published: 11 September 2021
(This article belongs to the Special Issue Systems Practice in Public Health)
Despite a range of federal and state interventions to slow the spread of COVID-19, the US has seen millions of infections and hundreds of thousands of deaths. Top-down mandates have been ineffective because the community spread of the pandemic has been influenced by complex local dynamics that have evolved over time. Systems thinking approaches, specifically causal loop diagrams, and leverage points, are important techniques for representing complexity at the local level and identifying responsive systems change opportunities. This commentary presents a causal loop diagram highlighting the progressive effects of prolonged state-level COVID-19 mandates at the community level. We also identify potential system leverage points that address these effects and present an imagined future state causal loop diagram in which these solutions are implemented. Our future system demonstrates the importance of collaborations to enable community-driven, bottom-up approaches to public health crises, such as the COVID-19 pandemic, that are adaptive and responsive to local needs. View Full-Text
Keywords: COVID-19; systems thinking; causal loop diagram; leverage points COVID-19; systems thinking; causal loop diagram; leverage points
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MDPI and ACS Style

Bogdewic, S.; Ramaswamy, R. Developing Complexity-Informed COVID-19 Responses to Optimize Community Well-Being: A Systems Thinking Approach. Systems 2021, 9, 68. https://doi.org/10.3390/systems9030068

AMA Style

Bogdewic S, Ramaswamy R. Developing Complexity-Informed COVID-19 Responses to Optimize Community Well-Being: A Systems Thinking Approach. Systems. 2021; 9(3):68. https://doi.org/10.3390/systems9030068

Chicago/Turabian Style

Bogdewic, Stephanie, and Rohit Ramaswamy. 2021. "Developing Complexity-Informed COVID-19 Responses to Optimize Community Well-Being: A Systems Thinking Approach" Systems 9, no. 3: 68. https://doi.org/10.3390/systems9030068

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