Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of

Joseph Aylett-Bullock1,2, Carolina Cuesta-Lazaro2, Arnau Quera-Bofarull2

  • 1United Nations Global Pulse, New York, New York, United States of America.

Insights

Agent-based modeling shows self-isolation for mild COVID-19 cases and indoor mask-wearing effectively reduce disease spread in refugee settlements. Reopening learning centers is feasible with layered mitigation strategies.

Area of Science:

  • Epidemiology
  • Computational modeling
  • Public health

Background:

  • Infectious disease outbreaks like COVID-19 disproportionately affect vulnerable populations, including those in refugee and internally displaced person (IDP) settlements.
  • High population density and limited infrastructure in settlements increase susceptibility to rapid disease transmission.

Purpose of the Study:

  • To develop and apply an agent-based model simulating disease spread in refugee settlements.
  • To evaluate the effectiveness of various non-pharmaceutical intervention (NPI) strategies in mitigating infectious disease transmission.

Main Methods:

  • Utilized an agent-based modeling approach based on the open-source June framework.
  • Incorporated real-world data on geography, demographics, comorbidities, and infrastructure for the Cox's Bazar settlement, aiming for generalizability.

Main Results:

  • Self-isolating symptomatic individuals at home, rather than in dedicated centers, does not increase secondary infections and allows centers for severe cases.
  • Indoor mask-wearing effectively dampens viral spread, even with low compliance and efficacy.
  • Reopening learning centers is viable with mask mandates, reduced attendance, and improved ventilation, nearly eliminating increased infection risk.

Conclusions:

  • NPIs can be tailored to settlement contexts, optimizing resource allocation and protecting vulnerable populations.
  • Modeling provides crucial data for informing public health policies and planning in informal settlements during outbreaks.
  • Further research in similar settings is recommended to refine strategies and safeguard at-risk communities.

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