Individual-Based Models for Public Health

Roche, Benjamín; Duboz, Raphaël

doi:10.1016/bs.host.2017.08.008

Cited by 5 publications

(3 citation statements)

References 54 publications

(52 reference statements)

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“…Dynamical systems applications provide a fundamental theoretical framework IAH can benefit from, including, for example, perspectives derived from chaos theory or resilience theory (54). Theory of modeling and simulation (55) can be viewed as a foundation for more recent model variants developed in ecology, epidemiology and coupled social and ecological modeling, such as agent- or individual-based models (56–58). This has important implications for IAH development, which can benefit from the conceptual and methodological advances in these mathematical fields.…”

Section: Systems Thinking As a Foundationmentioning

confidence: 99%

Systems Thinking in Practice: Participatory Modeling as a Foundation for Integrated Approaches to Health

Duboz

Echaubard²,

Promburom

et al. 2018

Front. Vet. Sci.

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One Health (OH), EcoHealth (EH), and Planetary Health (PH) share an interest in transdisciplinary efforts that bring together scientists, citizens, government and private sectors to implement contextualized actions that promote adaptive health management across human, animal and ecosystem interfaces. A key operational element underlying these Integrated Approaches to Health (IAH) is use of Systems Thinking as a set of tools for integration. In this paper we discuss the origins and epistemology of systems thinking and argue that participatory modeling, informed by both systems theory and expertise in facilitating engagement and social learning, can help ground IAH theoretically and support its development. Participatory modeling is iterative and adaptive, which is necessary to deal with complexity in practice. Participatory modeling (PM) methods actively involve affected interests and stakeholders to ground the field of inquiry in a specific social-ecological context. Furthermore, PM processes act to reconcile the diverse understandings of the empirical world that stem from divergent discipline and community viewpoints. In this perspective article, we argue that PM can support systems thinking in practice and is essential for IAH implementation. Accordingly we invite PH, OH, and EH practitioners to systematically incorporate specialists in systems science and social engagement and facilitation. This will enable the appropriate contextualization of research practice and interventions, and ensure a balanced representation of the roles and relationships of medical, biological, mathematical, and social disciplines. For completeness, funding schemes supporting IAH need to follow the same iterative, adaptive, and participative processes to accompany IAH projects throughout their implementation.

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Section: Systems Thinking As a Foundationmentioning

confidence: 99%

Systems Thinking in Practice: Participatory Modeling as a Foundation for Integrated Approaches to Health

Duboz

Echaubard²,

Promburom

et al. 2018

Front. Vet. Sci.

Self Cite

View full text Add to dashboard Cite

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“…The choice of an IBM enables the integration of complex interactions between biological epidemic drivers, sexual networks, and interventions such as contact tracing. 26 , 27 Additionally, it can incorporate a high degree of behavioral heterogeneities and examine different “ what if ” scenarios.…”

Section: Methodsmentioning

confidence: 99%

The population-level impact of introducing rapid diagnostic tests on syphilis transmission in Canadian arctic communities – a mathematical modeling study

Xia,

Caya,

Morin

et al. 2024

The Lancet Regional Health - Americas

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“…Agent-based modelling is a modelling approach that is specifically adequate to assess the dynamics of an epidemic in a specific region. 5 Unlike mathematical models that need to be parametrised with empirical factors and rates at the population level see eg, 6 agent-based models simulate how people interact and behave in geographic space. Agent-based modelling thus is especially well suited to explore alternative response strategies in a specific region.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 Intervention Scenarios for a Long-term Disease Management

Wallentin

Kaziyeva

Reibersdorfer-Adelsberger

2020

Int J Health Policy Manag

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Background: The first outbreak of coronavirus disease 2019 (COVID-19) was successfully restrained in many countries around the world by means of a severe lockdown. Now, we are entering the second phase of the pandemics in which the spread of the virus needs to be contained within the limits that national health systems can cope with. This second phase of the epidemics is expected to last until a vaccination is available or herd immunity is reached. Long-term management strategies thus need to be developed. Methods: In this paper we present a new agent-based simulation model "COVID-19 ABM" with which we simulate 4 alternative scenarios for the second "new normality" phase that can help decision-makers to take adequate control and intervention measures. Results: The scenarios resulted in distinctly different outcomes. A continued lockdown could regionally eradicate the virus within a few months, whereas a relaxation back to 80% of former activity-levels was followed by a second outbreak. Contact-tracing as well as adaptive response strategies could keep COVID-19 within limits. Conclusion: The main insights are that low-level voluntary use of tracing apps shows no relevant effects on containing the virus, whereas medium or high-level tracing allows maintaining a considerably higher level of social activity. Adaptive control strategies help in finding the level of least restrictions. A regional approach to adaptive management can further help in fine-tuning the response to regional dynamics and thus minimise negative economic effects.

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Individual-Based Models for Public Health

Cited by 5 publications

References 54 publications

Systems Thinking in Practice: Participatory Modeling as a Foundation for Integrated Approaches to Health

Systems Thinking in Practice: Participatory Modeling as a Foundation for Integrated Approaches to Health

The population-level impact of introducing rapid diagnostic tests on syphilis transmission in Canadian arctic communities – a mathematical modeling study

COVID-19 Intervention Scenarios for a Long-term Disease Management

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