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Genomic epidemiology of SARS-CoV-2 in Peru from 2020 to 2024

  • Benjamin Sobkowiak
  • , Amy Langdon
  • , Pedro E. Romero
  • , Gabriel Carrasco-Escobar
  • , Diego Villa
  • , Renato Cava Miller
  • , Víctor Cornejo Villanueva
  • , Alejandra Dávila-Barclay
  • , Diego Cuicapuza
  • , Guillermo Salvatierra
  • , Luis González
  • , Brenda Ayzanoa
  • , Janet Huancachoque
  • , Pool Marcos-Carbajal
  • , Juan Carlos Gómez de la Torre
  • , Claudia Barletta
  • , Stella M. Chenet
  • , Rafael Tapia-Limonchi
  • , Jorge Ballón
  • , Patrick Fernández
  • Rosario Valderrama, Mariana Leguía, Christopher Delgado-Ratto, Eduardo Gotuzzo, Carlos Zamudio, Willy Lescano, César Cárcamo, Verónica Hurtado, Priscila Lope-Pari, Carlos Padilla-Rojas, Víctor Jiménez-Vásquez, Oscar Escalante-Maldonado, Roger V. Araujo-Castillo, César Cabezas, Caroline Colijn, Pablo Tsukayama
  • Simon Fraser University
  • University College London
  • Universidad Nacional Mayor de San Marcos
  • Universidad Peruana Cayetano Heredia
  • Universidad Peruana Unión
  • Sequence Reference Lab
  • Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas
  • Universidad Nacional San Agustín de Arequipa
  • Pontificia Universidad Católica del Perú
  • University of Antwerp
  • Instituto Nacional de Salud, Lima
  • Wellcome Sanger Institute

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Peru recorded one of the world’s highest COVID-19 mortality rates, with nearly 4.5 million reported cases and 220,000 deaths by March 2024. Understanding the emergence and spread of SARS-CoV-2 variants in this context is key to informing effective public health responses. This study describes the genomic diversity, transmission dynamics, and geographic spread of SARS-CoV-2 in Peru from 2020 to 2024. Methods: We analyzed nearly 50,000 high-quality public SARS-CoV-2 genome sequences collected nationwide between March 2020 and March 2024. Phylogeographic and mutational analyses were performed to identify variant lineages, trace their origins, and map viral movements within and beyond Peru. Results: We show that Peru’s epidemic waves were shaped by the emergence of locally evolved variants, including Lambda (C.37), Gamma (P.1.12), and Omicron (XBB.2.6 and DJ.1) sub-lineages. The city of Lima acted as the primary hub for inter-regional spread, accounting for 47.3% of inferred viral movements to other departments, notably Ancash, Cusco, and Piura. Peru was the source of various lineages that spread internationally, primarily to Chile, the USA, and Europe. Mutational analysis highlighted critical mutations in the spike protein, including L452Q and F490S in Lambda, associated with immune evasion and increased transmissibility. Conclusions: This work demonstrates the capacity of genomic surveillance in Peru to detect and track emerging SARS-CoV-2 variants, providing insights into regional and global transmission dynamics in a high-transmission, middle-income country setting. Sustained, cost-effective genomic monitoring, combined with strengthened bioinformatics and laboratory capacity, is essential for pandemic preparedness in resource-limited settings.

Original languageEnglish
Article number22
JournalCommunications Medicine
Volume6
Issue number1
DOIs
StatePublished - Dec 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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