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Face-to-Face Interactions Estimated Using Mobile Phone Data to Support Contact Tracing Operations
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geoinformatics. Eduardo Mondlane Univ, Dept Math & Informat, Div Geog Informat Sci, Julius Nyerere St, Maputo 3453, Mozambique..ORCID iD: 0000-0001-7218-9082
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geoinformatics.ORCID iD: 0000-0003-1164-8403
Univ Aberta, Dept Sci & Technol, P-1269001 Lisbon, Portugal.;Inst Nacl Comunicacoes Mocamb INCM, Dept Serv Qual, Praca 16 Junho, Maputo 848, Mozambique..
Inst Nacl Comunicacoes Mocamb INCM, Dept Serv Qual, Praca 16 Junho, Maputo 848, Mozambique..
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2025 (English)In: Big data and cognitive computing, ISSN 2504-2289, Vol. 9, no 1, article id 4Article in journal (Refereed) Published
Abstract [en]

Understanding people's face-to-face interactions is crucial for effective infectious disease management. Traditional contact tracing, often relying on interviews or smartphone applications, faces limitations such as incomplete recall, low adoption rates, and privacy concerns. This study proposes utilizing anonymized Call Detail Records (CDRs) as a substitute for in-person meetings. We assume that when two individuals engage in a phone call connected to the same cell tower, they are likely to meet shortly thereafter. Testing this assumption, we evaluated two hypotheses. The first hypothesis-that such co-located interactions occur in a workplace setting-achieved 83% agreement, which is considered a strong indication of reliability. The second hypothesis-that calls made during these co-location events are shorter than usual-achieved 86% agreement, suggesting an almost perfect reliability level. These results demonstrate that CDR-based co-location events can serve as a reliable substitute for in-person interactions and thus hold significant potential for enhancing contact tracing and supporting public health efforts.

Place, publisher, year, edition, pages
MDPI AG , 2025. Vol. 9, no 1, article id 4
Keywords [en]
Call Detail Records (CDRs), co-location, face-to-face meetings, contact tracing, Mozambique
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-359983DOI: 10.3390/bdcc9010004ISI: 001404635700001Scopus ID: 2-s2.0-85216007291OAI: oai:DiVA.org:kth-359983DiVA, id: diva2:1938215
Note

QC 20250217

Available from: 2025-02-17 Created: 2025-02-17 Last updated: 2025-02-17Bibliographically approved

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Cumbane, Silvino PedroGidofalvi, Gyözö

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