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

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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 desc...

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dc.title.none.fl_str_mv Genomic epidemiology of SARS-CoV-2 in Peru from 2020 to 2024
title Genomic epidemiology of SARS-CoV-2 in Peru from 2020 to 2024
spellingShingle Genomic epidemiology of SARS-CoV-2 in Peru from 2020 to 2024
Sobkowiak, Benjamin
Medicina
SARS-CoV-2
http://purl.org/pe-repo/ocde/ford#3.00.00
title_short Genomic epidemiology of SARS-CoV-2 in Peru from 2020 to 2024
title_full Genomic epidemiology of SARS-CoV-2 in Peru from 2020 to 2024
title_fullStr Genomic epidemiology of SARS-CoV-2 in Peru from 2020 to 2024
title_full_unstemmed Genomic epidemiology of SARS-CoV-2 in Peru from 2020 to 2024
title_sort Genomic epidemiology of SARS-CoV-2 in Peru from 2020 to 2024
author Sobkowiak, Benjamin
author_facet Sobkowiak, Benjamin
Langdon, Amy
Romero, Pedro E.
Carrasco-Escobar, Gabriel
Villa, Diego
Cava Miller, Renato
Cornejo Villanueva, Víctor
Dávila-Barclay, Alejandra
Cuicapuza, Diego
Salvatierra, Guillermo
González, Luis
Ayzanoa, Brenda
Huancachoque, Janet
Marcos-Carbajal, Pool
Gómez de la Torre, Juan Carlos
Barletta, Claudia
M. Chenet, Stella
Tapia-Limonchi, Rafael
Ballón, Jorge
Fernández, Patrick
Valderrama, Rosario
Leguía, Mariana
Delgado-Ratto, Christopher
Gotuzzo, Eduardo
Zamudio, Carlos
Lescano, Willy
Cárcamo, César
Hurtado, Verónica
Lope-Pari, Priscila
Padilla-Rojas, Carlos
Jiménez-Vásquez, Víctor
Escalante-Maldonado, Oscar
Araujo-Castillo, Roger V.
Cabezas, César
Colijn, Caroline
Tsukayama, Pablo
author_role author
author2 Langdon, Amy
Romero, Pedro E.
Carrasco-Escobar, Gabriel
Villa, Diego
Cava Miller, Renato
Cornejo Villanueva, Víctor
Dávila-Barclay, Alejandra
Cuicapuza, Diego
Salvatierra, Guillermo
González, Luis
Ayzanoa, Brenda
Huancachoque, Janet
Marcos-Carbajal, Pool
Gómez de la Torre, Juan Carlos
Barletta, Claudia
M. Chenet, Stella
Tapia-Limonchi, Rafael
Ballón, Jorge
Fernández, Patrick
Valderrama, Rosario
Leguía, Mariana
Delgado-Ratto, Christopher
Gotuzzo, Eduardo
Zamudio, Carlos
Lescano, Willy
Cárcamo, César
Hurtado, Verónica
Lope-Pari, Priscila
Padilla-Rojas, Carlos
Jiménez-Vásquez, Víctor
Escalante-Maldonado, Oscar
Araujo-Castillo, Roger V.
Cabezas, César
Colijn, Caroline
Tsukayama, Pablo
author2_role author
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author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
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author
author
author
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author
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author
dc.contributor.author.fl_str_mv Sobkowiak, Benjamin
Langdon, Amy
Romero, Pedro E.
Carrasco-Escobar, Gabriel
Villa, Diego
Cava Miller, Renato
Cornejo Villanueva, Víctor
Dávila-Barclay, Alejandra
Cuicapuza, Diego
Salvatierra, Guillermo
González, Luis
Ayzanoa, Brenda
Huancachoque, Janet
Marcos-Carbajal, Pool
Gómez de la Torre, Juan Carlos
Barletta, Claudia
M. Chenet, Stella
Tapia-Limonchi, Rafael
Ballón, Jorge
Fernández, Patrick
Valderrama, Rosario
Leguía, Mariana
Delgado-Ratto, Christopher
Gotuzzo, Eduardo
Zamudio, Carlos
Lescano, Willy
Cárcamo, César
Hurtado, Verónica
Lope-Pari, Priscila
Padilla-Rojas, Carlos
Jiménez-Vásquez, Víctor
Escalante-Maldonado, Oscar
Araujo-Castillo, Roger V.
Cabezas, César
Colijn, Caroline
Tsukayama, Pablo
dc.subject.none.fl_str_mv Medicina
SARS-CoV-2
topic Medicina
SARS-CoV-2
http://purl.org/pe-repo/ocde/ford#3.00.00
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#3.00.00
description 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 ioinformatics and laboratory capacity, is essential for pandemic preparedness in resource-limited settings.
publishDate 2026
dc.date.accessioned.none.fl_str_mv 2026-03-10T16:58:50Z
dc.date.available.none.fl_str_mv 2026-03-10T16:58:50Z
dc.date.issued.fl_str_mv 2026-01-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12840/9881
url https://hdl.handle.net/20.500.12840/9881
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:2730-664X
dc.relation.uri.none.fl_str_mv https://doi.org/10.1038/s43856-025-01273-z
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Nature Portfolio
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publisher.none.fl_str_mv Nature Portfolio
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instname:Universidad Peruana Unión
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spelling Sobkowiak, BenjaminLangdon, AmyRomero, Pedro E.Carrasco-Escobar, GabrielVilla, DiegoCava Miller, RenatoCornejo Villanueva, VíctorDávila-Barclay, AlejandraCuicapuza, DiegoSalvatierra, GuillermoGonzález, LuisAyzanoa, BrendaHuancachoque, JanetMarcos-Carbajal, PoolGómez de la Torre, Juan CarlosBarletta, ClaudiaM. Chenet, StellaTapia-Limonchi, RafaelBallón, JorgeFernández, PatrickValderrama, RosarioLeguía, MarianaDelgado-Ratto, ChristopherGotuzzo, EduardoZamudio, CarlosLescano, WillyCárcamo, CésarHurtado, VerónicaLope-Pari, PriscilaPadilla-Rojas, CarlosJiménez-Vásquez, VíctorEscalante-Maldonado, OscarAraujo-Castillo, Roger V.Cabezas, CésarColijn, CarolineTsukayama, Pablo2026-03-10T16:58:50Z2026-03-10T16:58:50Z2026-01-09https://hdl.handle.net/20.500.12840/9881Background: 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 ioinformatics and laboratory capacity, is essential for pandemic preparedness in resource-limited settings.Programa Nacional de Investigación Científica y de Estudios Avanzados del Perú (PROCIENCIA \u2013 CONCYTEC) Contrato PE501086419-2024-PROCIENCIAapplication/pdfengNature PortfolioPEurn:issn:2730-664Xhttps://doi.org/10.1038/s43856-025-01273-zinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/MedicinaSARS-CoV-2http://purl.org/pe-repo/ocde/ford#3.00.00Genomic epidemiology of SARS-CoV-2 in Peru from 2020 to 2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:UPEU-Tesisinstname:Universidad Peruana Unióninstacron:UPEUORIGINALGenomic-epidemiolog_2026.pdfGenomic-epidemiolog_2026.pdfapplication/pdf2388246https://repositorio.upeu.edu.pe/bitstreams/b7faebcd-8f73-4ced-9e16-636ae5d3004a/downloadfa8bfdef337d1f58a892affb74fa1af2MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.upeu.edu.pe/bitstreams/0e27c744-644f-4268-bc10-316bd3abfd28/downloadbb9bdc0b3349e4284e09149f943790b4MD5220.500.12840/9881oai:repositorio.upeu.edu.pe:20.500.12840/98812026-03-10 18:03:46.197http://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.upeu.edu.peDSPACE7 UPEUrepositorio@upeu.edu.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