The COVID-19 epidemic and evaluating the corresponding responses to crisis management in refugees: a system dynamic approach

Abstract

Purpose

The COVID-19 pandemic is a new crisis in the world that caused many restrictions, from personal life to social and business. In this situation, the most vulnerable groups such as refugees who are living in the camps are faced with more serious problems. Therefore, a system dynamic approach has been developed to evaluate the effect of applying different scenarios to find out the best response to COVID-19 to improve refugees’ health and education.

Design/methodology/approach

The interaction of several health and education factors during an epidemic crisis among refugees leads to behavioral responses that consequently make the crisis control a complex problem. This research has developed an SD model based on the SIER model that responds to the public health and education system of Syrian refugees in Turkey affected by the COVID-19 virus and considered three policies of isolation, social distance/hygiene behavior and financial aid using the available data from various references.

Findings

The findings from the SD simulation results of applying three different policies identify that public health and education systems can increase much more by implementing the policy of social distance/hygiene behavior, and it has a significant impact on the control of the epidemic in comparison with the other two responses.

Originality/value

This paper contributes to humanitarian organizations, governments and refugees by discussing useful insights. Implementing the policy of social distance and hygiene behavior policies would help in a sharp reduction of death in refugees group. and public financial support has improved distance education during this pandemic.

Citation

Allahi, F., Fateh, A., Revetria, R. and Cianci, R. (2021), "The COVID-19 epidemic and evaluating the corresponding responses to crisis management in refugees: a system dynamic approach", Journal of Humanitarian Logistics and Supply Chain Management, Vol. 11 No. 2, pp. 347-366. https://doi.org/10.1108/JHLSCM-09-2020-0077