System dynamics for social good

Gonçalves, Paulo

doi:10.1590/0103-6513.20190062

Cited by 2 publications

(3 citation statements)

References 7 publications

(11 reference statements)

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“…In particular, they illustrate how system dynamics can effectively capture key elements of complex dynamic systems. Then, it allows managers to understand the behavior of such environments and make better decisions over time (Gonçalves 2019) The combination of the overall modeling results taking into account the diversity of ecological and social aspects in this study showed that efforts to control leptospirosis can be done efficiently so as to reduce the incidence of cases for the next few years. Social aspects that need to be considered, not only the importance of communication and education across sectors and communities, but also need to continuously maintain a fast reporting system and flow by considering the potential of each region.…”

Section: Discussionmentioning

confidence: 82%

Short Communication: Leptospirosis control based on eco-social factors: Modeling combination in Demak, Central Java, Indonesia

Djati¹,

Kusnoputranto

Utomo

et al. 2020

Biodiversitas

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Abstract. Djati RRAP, Kusnoputanto H, Utomo SW, Sakundarno M, Dewabrata PW, Duad HAH, Wicaksono MA. 2020. Short Communication: Leptospirosis control based on eco-social factors: Modeling combination in Demak, Central Java, Indonesia. Biodiversitas 21: 5818-5828. Ecological habitats and niches of leptospirosis as one of the environmental-based diseases need to be explored in an in-depth study based on eco-social analysis. The objective of this study was to develop an integrated leptospirosis control model based on eco-social factors. The location of the study was in Demak districts, Indonesia. Geographic coordinate data of cases during 2008-2018 were determined from the survey results of District Health Offices. Climatic and environmental data were obtained from Indonesian Meteorological, Climatological, Geophysical and Geospatial Information Agencies. Data on social factors were obtained by interviewing diseased persons using in-depth interview. Recorded cases and corresponding point location environmental data were then analyzed using ArcGIS and MaxEnt programs. Social network analysis was used to describe the factors involved in efforts to control leptospirosis and the relationship. The model predicted that the intervention was biological control, which had the highest leverage to reduce the morbidity rate. Health workers played an important role in efforts to control leptospirosis, although they were supported by self-supporting roles of the community. Management and control of natural and socio-environmental risk factors are very important. Combination model based on eco-social approach would be a useful tool to design and implement appropriate leptospirosis control.

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Section: Discussionmentioning

confidence: 82%

Short Communication: Leptospirosis control based on eco-social factors: Modeling combination in Demak, Central Java, Indonesia

Djati¹,

Kusnoputranto

Utomo

et al. 2020

Biodiversitas

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“…Gonçalves (2011) noted the relationship between these operations and SD, considering it a typical complex system consisting of feedback, delays, stocks and flows and nonlinearity. SD can also provide insight into and inform long-term policy in complex social systems (Gonçalves, 2019). Besiou and Van Wassenhove (2021) extended and updated the previous work by reviewing all issues of the Journal of Humanitarian Logistics and Supply Chain Management from 2011 to 2021 to grasp how SD has been used in humanitarian operations.…”

Section: Literature Reviewmentioning

confidence: 91%

Section: Literature Reviewmentioning

confidence: 99%

Venezuelan migration in Northern Brazil: a system dynamics approach for the internalization program

Ribeiro

Brito

Yoshizaki

et al. 2023

JHLSCM

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Purpose This paper aims to present the internalization process by which Venezuelan migrants and refugees are resettled. Using system dynamics, the authors model a Brazilian humanitarian operation (“Acolhida” – Welcome), simulate the internalization process, propose policies and provide lessons learned for future migratory operations. Design/methodology/approach Using system dynamics simulation, the authors use Acolhida Operation’s historical data to recreate the reception and resettlement process of Venezuelan migrants and refugees. The authors identify the main bottlenecks in the system and propose policies to respond to scenarios according to the number of internalization vacancies, that is, available places in Brazil where migrants and refugees can be resettled. Finally, based on interviews with former decision-makers, the model represents a first attempt to convert the pressure of public opinion on authorities into temporary shelters as a way of reducing the number of unassisted people. Findings The results confirm that internalization vacancies are the main constraint when resettling Venezuelan migrants and refugees. Had the internalization program been promoted since the operation’s beginning, there would have been fewer unassisted people in Roraima and fewer shelters. The pressure-converting mechanism presented in this study, although incipient, constitutes a first attempt to support decision-makers in determining when to build temporary shelters. Practical implications This study can be useful to public authorities and humanitarian organizations when developing policies to enhance resettlement in migratory crises. In Acolhida’s case, the internalization program should continue to be the operation’s priority and can be enhanced by investing more resources to create internalization vacancies while maintaining logistical capacities. Social implications The authors suggest policies to improve the Acolhida internalization program: give more people the choice to relocate in other cities, increase turnover in shelters and provide a more efficient and effective response to Venezuelan migration in Roraima. Originality/value Although a number of studies have applied system dynamics to humanitarian operations, few models have focused on migratory emergencies, such as those occurring in northern Brazil. The model is applied to the largest humanitarian operation carried out in the Brazilian territory and provides decision-makers with valuable insights and alternatives for better implementation in the future. Furthermore, this study narrows the gap between the social sciences and modeling and simulation techniques by proposing ways of predicting migratory implications in the construction of shelters and resettlement policies.

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System dynamics for social good

Cited by 2 publications

References 7 publications

Short Communication: Leptospirosis control based on eco-social factors: Modeling combination in Demak, Central Java, Indonesia

Short Communication: Leptospirosis control based on eco-social factors: Modeling combination in Demak, Central Java, Indonesia

Venezuelan migration in Northern Brazil: a system dynamics approach for the internalization program

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