A mixed-method approach to determining contact matrices in the Cox’s Bazar refugee settlement

Author:

Walker Joseph12ORCID,Aylett-Bullock Joseph13ORCID,Shi Difu14,Kahindo Maina Allen Gidraf5,Samir Evers Egmond6,Harlass Sandra7,Krauss Frank12ORCID

Affiliation:

1. Institute for Data Science, Durham, UK

2. Institute for Particle Physics Phenomenology, Durham, UK

3. United Nations Global Pulse, New York, NY, USA

4. Institute for Computational Cosmology, Durham, UK

5. UNHCR Public Health Unit, Cox’s Bazar, Bangladesh

6. WHO Headquarters, Geneva, Switzerland

7. UNHCR Public Health Unit, Geneva, Switzerland

Abstract

Contact matrices are an important ingredient in age-structured epidemic models to inform the simulated spread of the disease between subgroups of the population. These matrices are generally derived using resource-intensive diary-based surveys and few exist in the Global South or tailored to vulnerable populations. In particular, no contact matrices exist for refugee settlements—locations under-served by epidemic models in general. In this paper, we present a novel, mixed-method approach for deriving contact matrices in populations, which combines a lightweight, rapidly deployable survey with an agent-based model of the population informed by census and behavioural data. We use this method to derive the first set of contact matrices for the Cox’s Bazar refugee settlement in Bangladesh. To validate our approach, we apply it to the UK population and compare our derived matrices with well-known contact matrices collected using traditional methods. Our findings demonstrate that our mixed-method approach successfully addresses some of the challenges faced by traditional and agent-based approaches to deriving contact matrices. It also shows potential for implementation in resource-constrained environments. This work therefore contributes to a broader aim of developing new methods and mechanisms of data collection for modelling disease spread in refugee and internally displaced person (IDP) settlements and better serving these vulnerable communities.

Funder

Wolfson Foundation

Science and Technology Facilities Council

EPSRC IAA

Publisher

The Royal Society

Subject

Multidisciplinary

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