As termas de Tróia: documentação escrita e materiais do Museu Nacional de Arqueologia

Tese de mestrado, Arqueologia, Universidade de Lisboa, Faculdade de Letras, 2010As termas do sítio arqueológico de Tróia foram identificadas no século XIX, durante trabalhos de campo levados a cabo pela Sociedade Archeologica Lusitana. A sua escavação decorreu em 1956 por determinação Junta Nacional de Educação, dirigidas e coordenadas pelo Museu Etnológico, sob a direcção científica do director do mesmo, Manuel Heleno. Desta escavação ficou-nos detalhado Diário de Campo da autoria de Bandeira Ferreira. O Museu Nacional de Arqueologia alberga uma vasta colecção de materiais provenientes de Tróia, de entre os quais os das termas. Propomo-nos tentar estabelecer a necessária conexão entre os materiais e respectivos contextos registados em inventário pelo Museu Nacional de Arqueologia, e aqueles que são documentados e descritos pelo Diário de Campo de 1956.The baths of the roman archeological site of Tróia where identified in the 19th century, during field-work handled by the Sociedade Archeologica Lusitana. Excavation took place in 1956 by determination of the Junta Nacional de Educação, being directed and co-ordinated by the Museu Etnológico under the scientific survey of his director, Manuel Heleno. From this excavation remained a detailed Field Journal elaborated by Bandeira Ferreira. The Museu Nacional de Arqueologia lodges a numerous collection of materials from Tróia, among them, the ones from the baths. It is our goal to try to establish the connection between material remains and the contexts registered in the inventory by the Museu Nacional de Arqueologia, and those documented and described by the Field Journal from 1956

SARS-CoV-2 introductions and early dynamics of the epidemic in Portugal

Genomic surveillance of SARS-CoV-2 in Portugal was rapidly implemented by the National Institute of Health in the early stages of the COVID-19 epidemic, in collaboration with more than 50 laboratories distributed nationwide. Methods By applying recent phylodynamic models that allow integration of individual-based travel history, we reconstructed and characterized the spatio-temporal dynamics of SARSCoV-2 introductions and early dissemination in Portugal. Results We detected at least 277 independent SARS-CoV-2 introductions, mostly from European countries (namely the United Kingdom, Spain, France, Italy, and Switzerland), which were consistent with the countries with the highest connectivity with Portugal. Although most introductions were estimated to have occurred during early March 2020, it is likely that SARS-CoV-2 was silently circulating in Portugal throughout February, before the first cases were confirmed. Conclusions Here we conclude that the earlier implementation of measures could have minimized the number of introductions and subsequent virus expansion in Portugal. This study lays the foundation for genomic epidemiology of SARS-CoV-2 in Portugal, and highlights the need for systematic and geographically-representative genomic surveillance.We gratefully acknowledge to Sara Hill and Nuno Faria (University of Oxford) and Joshua Quick and Nick Loman (University of Birmingham) for kindly providing us with the initial sets of Artic Network primers for NGS; Rafael Mamede (MRamirez team, IMM, Lisbon) for developing and sharing a bioinformatics script for sequence curation (https://github.com/rfm-targa/BioinfUtils); Philippe Lemey (KU Leuven) for providing guidance on the implementation of the phylodynamic models; Joshua L. Cherry (National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health) for providing guidance with the subsampling strategies; and all authors, originating and submitting laboratories who have contributed genome data on GISAID (https://www.gisaid.org/) on which part of this research is based. The opinions expressed in this article are those of the authors and do not reflect the view of the National Institutes of Health, the Department of Health and Human Services, or the United States government. This study is co-funded by Fundação para a Ciência e Tecnologia and Agência de Investigação Clínica e Inovação Biomédica (234_596874175) on behalf of the Research 4 COVID-19 call. Some infrastructural resources used in this study come from the GenomePT project (POCI-01-0145-FEDER-022184), supported by COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation (POCI), Lisboa Portugal Regional Operational Programme (Lisboa2020), Algarve Portugal Regional Operational Programme (CRESC Algarve2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF), and by Fundação para a Ciência e a Tecnologia (FCT).info:eu-repo/semantics/publishedVersio