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

