om as , F e r na n d o G on zález Candelas, SeqCOVID-SPAIN consortium, Tanja Stadler & Richard A. NeherThis is a PDF file of a peer-reviewed paper that has been accepted for publication. Although unedited, the content has been subjected to preliminary formatting. Nature is providing this early version of the typeset paper as a service to our authors and readers. The text and figures will undergo copyediting and a proof review before the paper is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers apply.

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The coronavirus disease 2019 (COVID-19) pandemic has affected the world radically since 2020. Spain was one of the European countries with the highest incidence during the first wave. As a part of a consortium to monitor and study the evolution of the epidemic, we sequenced 2,170 samples, diagnosed mostly before lockdown measures. Here, we identified at least 500 introductions from multiple international sources and documented the early rise of two dominant Spanish epidemic clades (SECs), probably amplified by superspreading events. Both SECs were related closely to the initial Asian variants of SARS-CoV-2 and spread widely across Spain. We inferred a substantial reduction in the effective reproductive number of both SECs due to public-health interventions ( R e < 1), also reflected in the replacement of SECs by a new variant over the summer of 2020. In summary, we reveal a notable difference in the initial genetic makeup of SARS-CoV-2 in Spain compared with other European countries and show evidence to support the effectiveness of lockdown measures in controlling virus spread, even for the most successful genetic variants.

Coinciding with the pandemic wave of the influenza A(H1N1)pdm09 virus, other respiratory viruses have co-circulated in our area and were responsible for many acute respiratory infections and influenza-like illness (ILI). Apart from the pandemic virus that was responsible for most ILI cases, incidence rates of other viruses have varied among geographical areas. In general, human rhinovirus was the most frequent among individuals from the community, and respiratory syncytial virus among hospitalized patients. Detection rates of other respiratory viruses such as human metapneumovirus, adenovirus or parainfluenza viruses have been much lower. On the basis of an interference mechanism, human rhinovirus may contribute to modulate the pandemic wave, although available data are not conclusive to support this hypothesis. In contrast, the epidemic wave of respiratory syncytial virus during 2009-2010 was similar to previous seasons. Overall, incidence rates of respiratory viruses other than influenza did not change significantly during the pandemic season compared to other seasons. No association has been found between coinfection of pandemic influenza and other respiratory viruses with the prognosis of patients with influenza. The involvement of clinical virology laboratories in the etiological diagnosis of ILI cases has improved and has optimized diagnostic procedures.