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Uso de genomas de Sars-CoV-2 para la estimación del número reproductivo efectivo (Rt) en Perú durante marzo y abril del 2020

Bibliographic Data

ID15533376
AuthorsPedro Romero (0000-0001-9947-3868, corresponding author), Milagros Sánchez-Yupari (0000-0003-2113-0253, Universidad Peruana Cayetano Heredia), Stephanie Montero (0000-0002-8147-8318, Universidad Peruana Cayetano Heredia), Pablo Tsukayama (0000-0002-1669-2553, Universidad Peruana Cayetano Heredia)
Year2021
Volume38
Issue2
Pages267-71
Publication date2021-03-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista Peruana de Medicina Experimental y Salud Pública (JOURNAL)
Journal identifiersISSN: 1726-4634 • E-ISSN: 1726-4642
PublisherNational Institute of Health of Peru (PUBLISHER • PE)
DOI10.17843/rpmesp.2021.382.6417
PMID34468574
OpenAlexW3154185171
LanguageES
References cited1

The understanding of COVID-19, caused by the SARS-CoV-2, is essential to improve evidence-based public health policies. The effective reproductive number (Rt) in Peru was estimated using information from 113 complete genomes sequenced by the Instituto Nacional de Salud del Perú (INS), available in the GISAID public database. The Rt trend during March and April of 2020 was found to be similar to results from other epidemiological reports. The Rt decreased during the first two weeks of March. Its lowest value was reported during the week after the quarantine began. The Rt increased moderately after the second week of April. The implication of early decisions taken to mitigate the transmission are discussed. Genomic surveillance will be necessary to understand the transmission and evolution of SARS-CoV-2 in Peru, and will complement the epidemiological information

Biology · Humanities · COVID-19 epidemiological studies · COVID-19 Impact on Reproduction · Philosophy · SARS-CoV-2 and COVID-19 Research · Molecular Biology

  • Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR

    Open Access•Victor M Corman, Olfert Landt et al.•Eurosurveillance•2020

Citation velocityhistorical
Highly citedNo

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