A influência das avaliações de fornecedores na rescisão de contratos de serviços de exploração e produção de petróleo e gás no Brasil

The supplier performance assessment literature shows that the prior identification of contracts considered unsatisfactory may prove crucial to the maintenance of a company, especially in sectors with high operational and environmental risk and significant investments, such as the oil and gas exploitation sector. Although considered important, contract termination has been little studied in the Brazilian oil segment, due to the small number of firms operating in the sector and restricted access to information from these companies. This article aims to reduce this gap by analyzing what service assessment criteria most influence contract terminations in the Brazilian sector of oil and gas exploitation and production. Therefore, the assessments of service contracts terminated between 1/1/2006 and 12/31/2014 by a business unit active in oil and gas exploitation and production located in Brazil were analyzed using logit regressions. In the resulting database, 273 contracts were found that include all specialized services in the activity, totaling 19,613 ratings. The results indicate that the Term and Logistics criteria reveal the greatest influence on contract cancelations of the sector activities. In addition, by segregating the analysis by specialty, it was found that different specialties have different requirements and therefore different contractual arrangements. These results empirically corroborate the theoretical discussions in the literature about the importance of compliance with contractual obligations, especially with regard to the negotiated deadlines.A literatura de avaliação de desempenho de fornecedores aponta que a prévia identificação de contratos considerados insatisfatórios pode se revelar crucial para a manutenção de uma empresa, especialmente em setores com alto risco operacional, ambiental e com investimentos significativos, como é o caso do setor de exploração de petróleo e gás. Embora considerada importante, a rescisão contratual tem sido pouco estudada no segmento de petróleo brasileiro, em decorrência do baixo número de firmas que atuam no setor e da restrição de acessos às informações dessas empresas. O presente artigo tem como objetivo diminuir essa lacuna ao analisar quais critérios de avaliação de serviços mais influenciam as rescisões contratuais no setor brasileiro de exploração e produção de petróleo e gás. Para tanto, foram analisadas, via regressões logit, as avaliações dos contratos de serviços encerrados no período de 1/1/2006 a 31/12/2014 por uma unidade de negócio que atua na exploração e produção de petróleo e gás localizada no Brasil. No banco de dados resultante, constaram-se 273 contratos que contemplam todas as especialidades de serviços da atividade, com um total de 19.613 avaliações. Os resultados indicam que os critérios Prazo e Logística são os que apresentam maior influência nas rescisões contratuais das atividades do setor. Além disso, ao segregar-se as análises por especialidades, verificou-se que diferentes especialidades possuem demandas distintas e, por conseguinte, diferentes modelos contratuais. Tais resultados corroboram empiricamente as discussões teóricas presentes na literatura acerca da importância do cumprimento das obrigações contratuais, especialmente com relação aos prazos negociados

A Influência das Avaliações de Fornecedores na Rescisão de Contratos de Serviços de Exploração e Produção de Petróleo e Gás no Brasil

A literatura de avaliação de desempenho de fornecedores aponta que a prévia identificação de contratos considerados insatisfatórios pode se revelar crucial para a manutenção de uma empresa, especialmente em setores com alto risco operacional, ambiental e com investimentos significativos, como é o caso do setor de exploração de petróleo e gás. Embora considerada importante, a rescisão contratual tem sido pouco estudada no segmento de petróleo brasileiro, em decorrência do baixo número de firmas que atuam no setor e da restrição de acessos às informações dessas empresas. O presente artigo tem como objetivo diminuir essa lacuna ao analisar quais critérios de avaliação de serviços mais influenciam as rescisões contratuais no setor brasileiro de exploração e produção de petróleo e gás. Para tanto, foram analisadas, via regressões logit, as avaliações dos contratos de serviços encerrados no período de 1/1/2006 a 31/12/2014 por uma unidade de negócio que atua na exploração e produção de petróleo e gás localizada no Brasil. No banco de dados resultante, constaram-se 273 contratos que contemplam todas as especialidades de serviços da atividade, com um total de 19.613 avaliações. Os resultados indicam que os critérios Prazo e Logística são os que apresentam maior influência nas rescisões contratuais das atividades do setor. Além disso, ao segregar-se as análises por especialidades, verificou-se que diferentes especialidades possuem demandas distintas e, por conseguinte, diferentes modelos contratuais. Tais resultados corroboram empiricamente as discussões teóricas presentes na literatura acerca da importância do cumprimento das obrigações contratuais, especialmente com relação aos prazos negociados

Characterization of the Bujaru, frijoles and Tapara antigenic complexes into the sandfly fever group and two unclassified phleboviruses from Brazil

The genus Phlebovirus includes the sandfly fever viruses and tick-transmitted uukuviruses. Sandfly fever group viruses have been isolated from various vertebrate species and from phlebotomines and occasionally alternative arthropods, e.g. mosquitoes, or ceratopogonids of the genus Culicoides. Uukuniemi serogroup viruses have been isolated from various vertebrate species and from ticks. Despite the public health importance of some viruses of the genus, the genomic diversity of phleboviruses that could be incriminated as causative of human or veterinary diseases remains underestimated. Here we describe the nearly complete sequences and genomic characterization of two phleboviruses belonging to the Bujaru antigenic complex: the prototype species and the Munguba virus. Furthermore, six previously unclassified phleboviruses isolated in Brazil were also sequenced and characterized: Ambe, Anhanga, Joa, Uriurana, Urucuri and Tapara viruses. The results of the phylogenetic analysis indicated that these viruses group with viruses of three antigenic complexes (Bujaru, Tapara and frijoles clades), with two unclassified phleboviruses. We also performed genomic reassortment analysis and confirmed that there were no events for the viruses described in this study, but we found a new potential reassortment in Medjerda Valley virus, which contains S and L segments of Arbia virus, and probably a unique M segment, both viruses circulate in the same geographic region, indicating these two isolates represent two distinct viruses. This study provides insights into the genetic diversity, classification and evolution of phleboviruse

Phylogeography of dengue virus serotype 4, Brazil, 2010-2011.

Dengue virus serotype 4 (DENV-4) reemerged in Roraima State, Brazil, 28 years after it was last detected in the country in 1982. To study the origin and evolution of this reemergence, full-length sequences were obtained for 16 DENV-4 isolates from northern (Roraima, Amazonas, Pará States) and northeastern (Bahia State) Brazil during the 2010 and 2011 dengue virus seasons and for an isolate from the 1982 epidemic in Roraima. Spatiotemporal dynamics of DENV-4 introductions in Brazil were applied to envelope genes and full genomes by using Bayesian phylogeographic analyses. An introduction of genotype I into Brazil from Southeast Asia was confirmed, and full genome phylogeographic analyses revealed multiple introductions of DENV-4 genotype II in Brazil, providing evidence for >3 introductions of this genotype within the last decade: 2 from Venezuela to Roraima and 1 from Colombia to Amazonas. The phylogeographic analysis of full genome data has demonstrated the origins of DENV-4 throughout Brazil

Phylogeography of dengue virus serotype 4, Brazil, 2010-2011

Dengue virus serotype 4 (DENV-4) reemerged in Roraima State, Brazil, 28 years after it was last detected in the country in 1982. To study the origin and evolution of this reemergence, full-length sequences were obtained for 16 DENV-4 isolates from northern (Roraima, Amazonas, Pará States) and northeastern (Bahia State) Brazil during the 2010 and 2011 dengue virus seasons and for an isolate from the 1982 epidemic in Roraima. Spatiotemporal dynamics of DENV-4 introductions in Brazil were applied to envelope genes and full genomes by using Bayesian phylogeographic analyses. An introduction of genotype I into Brazil from Southeast Asia was confirmed, and full genome phylogeographic analyses revealed multiple introductions of DENV-4 genotype II in Brazil, providing evidence for >3 introductions of this genotype within the last decade: 2 from Venezuela to Roraima and 1 from Colombia to Amazonas. The phylogeographic analysis of full genome data has demonstrated the origins of DENV-4 throughout Brazil.status: publishe

Data from: Zika virus in the Americas: early epidemiological and genetic findings

Brazil has experienced an unprecedented epidemic of Zika virus (ZIKV), with ~30,000 cases reported to date. ZIKV was first detected in Brazil in May 2015 and cases of microcephaly potentially associated with ZIKV infection were identified in November 2015. Using next generation sequencing we generated seven Brazilian ZIKV genomes, sampled from four self-limited cases, one blood donor, one fatal adult case, and one newborn with microcephaly and congenital malformations. Phylogenetic and molecular clock analyses show a single introduction of ZIKV into the Americas, estimated to have occurred between May-Dec 2013, more than 12 months prior to the detection of ZIKV in Brazil. The estimated date of origin coincides with an increase in air passengers to Brazil from ZIKV endemic areas, and with reported outbreaks in Pacific Islands. ZIKV genomes from Brazil are phylogenetically interspersed with those from other South American and Caribbean countries. Mapping mutations onto existing structural models revealed the context of viral amino acid changes present in the outbreak lineage; however no shared amino acid changes were found among the three currently available virus genomes from microcephaly cases. Municipality-level incidence data indicate that reports of suspected microcephaly in Brazil best correlate with ZIKV incidence around week 17 of pregnancy, although this does not demonstrate causation. Our genetic description and analysis of ZIKV isolates in Brazil provide a baseline for future studies of the evolution and molecular epidemiology in the Americas of this emerging virus

Zika virus in the Americas: Early epidemiological and genetic findings

Submitted by sandra infurna ([email protected]) on 2016-06-21T16:53:42Z No. of bitstreams: 1 gonzalo2_bello_etal_IOC_2016.pdf: 1066180 bytes, checksum: d43c1cf1b828de79e634ed276cc62178 (MD5)Approved for entry into archive by sandra infurna ([email protected]) on 2016-06-21T17:27:43Z (GMT) No. of bitstreams: 1 gonzalo2_bello_etal_IOC_2016.pdf: 1066180 bytes, checksum: d43c1cf1b828de79e634ed276cc62178 (MD5)Made available in DSpace on 2016-06-21T17:27:43Z (GMT). No. of bitstreams: 1 gonzalo2_bello_etal_IOC_2016.pdf: 1066180 bytes, checksum: d43c1cf1b828de79e634ed276cc62178 (MD5) Previous issue date: 2016Submitted by Angelo Silva ([email protected]) on 2016-07-07T11:16:45Z No. of bitstreams: 3 gonzalo2_bello_etal_IOC_2016.pdf.txt: 51037 bytes, checksum: bebf604bcb5623ddff92fec2bebc02a5 (MD5) gonzalo2_bello_etal_IOC_2016.pdf: 1066180 bytes, checksum: d43c1cf1b828de79e634ed276cc62178 (MD5) license.txt: 2991 bytes, checksum: 5a560609d32a3863062d77ff32785d58 (MD5)Approved for entry into archive by sandra infurna ([email protected]) on 2016-07-07T11:43:23Z (GMT) No. of bitstreams: 3 license.txt: 2991 bytes, checksum: 5a560609d32a3863062d77ff32785d58 (MD5) gonzalo2_bello_etal_IOC_2016.pdf: 1066180 bytes, checksum: d43c1cf1b828de79e634ed276cc62178 (MD5) gonzalo2_bello_etal_IOC_2016.pdf.txt: 51037 bytes, checksum: bebf604bcb5623ddff92fec2bebc02a5 (MD5)Made available in DSpace on 2016-07-07T11:43:23Z (GMT). No. of bitstreams: 3 license.txt: 2991 bytes, checksum: 5a560609d32a3863062d77ff32785d58 (MD5) gonzalo2_bello_etal_IOC_2016.pdf: 1066180 bytes, checksum: d43c1cf1b828de79e634ed276cc62178 (MD5) gonzalo2_bello_etal_IOC_2016.pdf.txt: 51037 bytes, checksum: bebf604bcb5623ddff92fec2bebc02a5 (MD5) Previous issue date: 2016Ministério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, Brasil / University of Oxford. Department of Zoology. Oxford, UK.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.University of Oxford. Department of Zoology. Oxford, UK.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.University of Oxford. Department of Zoology. Oxford, UK.University of Oxford. Department of Zoology. Oxford, UK.University of Oxford. Department of Zoology. Oxford, UK.University of Oxford. Wellcome Trust Centre for Human Genetics. Oxford, UK.University of Oxford. Wellcome Trust Centre for Human Genetics. Oxford, UK.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Universidade de São Paulo. Instituto Adolfo Lutz. São Paulo, SP, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.University of Oxford. Department of Zoology. Oxford, UK / Metabiota. San Francisco, CA 94104, USA.University of Oxford. Department of Zoology. Oxford, UK.University of Oxford. Department of Zoology. Oxford, UK.Fundação Oswaldo Cruz. Salvador, BA, Brasil.Universidade Estadual de Feira de Santana, Feira de Santana. Departamento de Saúde. Centro de Pós-Graduação em Saúde Coletiva. Feira de Santana, BA, Brasil.Fundação Oswaldo Cruz. Salvador, BA, Brasil.University of Washington. Institute for Health Metrics and Evaluation,. Seattle, WA, USA / University of Oxford. Wellcome Trust Centre for Human Genetics. Oxford, UK.Ministério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, Brasil.Ministério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilMinistério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, BrasilFundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ, Brasil.Li Ka Shing Knowledge Institute. St. Michael’s Hospital. Toronto, Canada / University of Toronto. Department of Medicine. Division of Infectious Diseases. Toronto, Canada.University of Toronto.Dalla Lana School of Public Health. Toronto, Canada;Brasil. Ministério da Saúde. Brasília, DF, Brasil.Brasil. Ministério da Saúde. Brasília, DF, Brasil.University of Texas Medical Branch. Department of Pathology. Galveston, TX, USA.University of Oxford. Department of Zoology. Oxford, UK / Metabiota. San Francisco, CA 94104, USA.Ministério da Saúde. Instituto Evandro Chagas, Centro de Inovação tecnológica. Ananindeua, PA, Brasil / University of Texas Medical Branch. Department of Pathology. Galveston, TX, USA.Ministério da Saúde. Instituto Evandro Chagas. Departamento de Arbovirologia e Febres Hemorrágicas. Ananindeua, PA, Brasil.Brazil has experienced an unprecedented epidemic of Zika virus (ZIKV), with ~30,000 cases reported to date. ZIKV was first detected in Brazil in May 2015 and cases of microcephaly potentially associated with ZIKV infection were identified in November 2015. Using next generation sequencing we generated seven Brazilian ZIKV genomes, sampled from four self-limited cases, one blood donor, one fatal adult case, and one newborn with microcephaly and congenital malformations. Phylogenetic and molecular clock analyses show a single introduction of ZIKV into the Americas, estimated to have occurred between May-Dec 2013, more than 12 months prior to the detection of ZIKV in Brazil. The estimated date of origin coincides with an increase in air passengers to Brazil from ZIKV endemic areas, and with reported outbreaks in Pacific Islands. ZIKV genomes from Brazil are phylogenetically interspersed with those from other South American and Caribbean countries. Mapping mutations onto existing structural models revealed the context of viral amino acid changes present in the outbreak lineage; however no shared amino acid changes were found among the three currently available virus genomes from microcephaly cases. Municipality-level incidence data indicate that reports of suspected microcephaly in Brazil best correlate with ZIKV incidence around week 17 of pregnancy, although this does not demonstrate causation. Our genetic description and analysis of ZIKV isolates in Brazil provide a baseline for future studies of the evolution and molecular epidemiology in the Americas of this emerging virus