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Mapping complex public health problems with causal loop diagrams [PDF]

open access: yesInternational Journal of Epidemiology
Abstract This paper presents causal loop diagrams (CLDs) as tools for studying complex public health problems like health inequality. These problems often involve feedback loops—a characteristic of complex systems not fully integrated into mainstream epidemiology.
Jeroen Uleman   +2 more
exaly   +8 more sources

Diagrams-to-Dynamics (D2D): Exploring causal loop diagram leverage points under uncertainty [PDF]

open access: yesBMC Medicine
Background Causal loop diagrams (CLDs) are widely used in health and environmental research to represent hypothesized causal structures underlying complex problems.
Jeroen F. Uleman   +6 more
doaj   +6 more sources

Causal loop diagrams as a de-escalation technique [PDF]

open access: yesJournal of the Operational Research Society, 2015
Escalation of commitment, the tendency of decision makers to keep on investing in losing courses of action, has been shown to be a costly decision bias that affects many areas of decision making. Even though escalation is a widely studied phenomenon, there has been comparatively little research on how to avoid this bias. The present study focuses on de-
Özge Pala, Dirk J Vriens, Jac AM Vennix
exaly   +6 more sources

A Method for Simplification of Complex Group Causal Loop Diagrams Based on Endogenisation, Encapsulation and Order-Oriented Reduction

open access: yesSystems, 2017
Growing complexity represents an issue that can be identified in various disciplines. In system dynamics, causal loop diagrams are used for capturing dynamic nature of modelled systems.
Vladimír Bureš
doaj   +4 more sources

Using Causal Loop Diagrams to Conceptualize Groundwater as a Social-Ecological System

open access: yesFrontiers in Environmental Science, 2022
Groundwater systems are social-ecological systems (SES) in which human communities, groundwater dependent ecosystems and groundwater resources are linked, and therefore, cannot be studied in isolation.
Louis Bouchet   +2 more
doaj   +3 more sources

Causal Loop Diagrams

open access: yes, 2022
AbstractThis chapter introduces Causal Loop Diagrams. We explore what exactly Causal Loop Diagrams are, describe how you can use them, take a step back to consider common issues and ‘tricks of the trade’, as well as present a brief history of the development of the method. This chapter can be viewed as a companion to Chap.
Peter Barbrook-Johnson   +1 more
exaly   +3 more sources

A systems approach to understanding injury care in LMICs using causal loop diagrams [PDF]

open access: yesBMJ Global Health
Background Around 40% of mortality after injuries is avoidable with access to quality care. Investments in interventions which maximise the number of injured persons who access and receive quality care are paramount, especially in low-resourced settings.
Justine I Davies   +9 more
doaj   +2 more sources

Constructing causal loop diagrams from large interview data sets. [PDF]

open access: yesSyst Dyn Rev, 2023
Abstract “Tackling the Root Causes Upstream of Unhealth Urban Development” is a trans‐disciplinary research project seeking to map and understand urban development decision‐making, visualise stakeholder mental models and codevelop improvement interventions.
Newberry P, Carhart N.
europepmc   +4 more sources

CLD4SDGs: Integrated assessment of progress and impacts on Sustainable Development Goals using Causal Loop Diagrams [PDF]

open access: yesMethodsX, 2022
The United Nations’ 2030 Agenda for sustainable development calls for meeting the global Sustainable Development Goals (SDGs) through local action and integrated approaches.
Andrea S. Downing
doaj   +2 more sources

Using network analysis to identify leverage points based on causal loop diagrams leads to false inference [PDF]

open access: yesScientific Reports, 2023
Network analysis is gaining momentum as an accepted practice to identify which factors in causal loop diagrams (CLDs)—mental models that graphically represent causal relationships between a system’s factors—are most likely to shift system-level behaviour,
Loes Crielaard   +6 more
doaj   +2 more sources

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