Background On 7 February 2020, French Health authorities were informed of a confirmed case of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in an Englishman infected in Singapore who had recently stayed in a chalet in the French Alps. We conducted an investigation to identify secondary cases and interrupt transmission. Methods We defined as a confirmed case a person linked to the chalet with a positive reverse-transcription polymerase chain reaction sample for SARS-CoV-2. Results The index case stayed 4 days in the chalet with 10 English tourists and a family of 5 French residents; SARS-CoV-2 was detected in 5 individuals in France, 6 in England (including the index case), and 1 in Spain (overall attack rate in the chalet: 75%). One pediatric case, with picornavirus and influenza A coinfection, visited 3 different schools while symptomatic. One case was asymptomatic, with similar viral load as that of a symptomatic case. Seven days after the first cases were diagnosed, 1 tertiary case was detected in a symptomatic patient with from the chalet a positive endotracheal aspirate; all previous and concurrent nasopharyngeal specimens were negative. Additionally, 172 contacts were monitored; all contacts tested for SARS-CoV-2 (N = 73) were negative. Conclusions The occurrence in this cluster of 1 asymptomatic case with similar viral load as a symptomatic patient suggests transmission potential of asymptomatic individuals. The fact that an infected child did not transmit the disease despite close interactions within schools suggests potential different transmission dynamics in children. Finally, the dissociation between upper and lower respiratory tract results underscores the need for close monitoring of the clinical evolution of suspected cases of coronavirus disease 2019.

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This article describes a machine translation system based on an automatic post-editing strategy: initially translate the input text into the target-language using a rule-based MT system, then automatically post-edit the output using a statistical phrase-based system. An implementation of this approach based on the SYSTRAN and PORTAGE MT systems was used in the shared task of the Second Workshop on Statistical Machine Translation. Experimental results on the test data of the previous campaign are presented.

Objective. Erdheim-Chester disease (ECD) is a rare form of non-Langerhans' cell histiocytosis that may present with pulmonary involvement. We undertook the current study to evaluate the characteristic features of pulmonary involvement in ECD, in the largest single-center series of patients reported to date.Methods. We performed a retrospective study of the characteristics of 34 consecutive patients with biopsy-proven ECD who were referred to the internal medicine department of Pitié-Salpêtrière Hospital between 1981 and November 2008.Results. Data were obtained from 23 men and 11 women. The median age at the time of diagnosis was 53.7 years (range 16-73 years), and the median followup was 3.5 years (1.4-5.3 years). Eight patients (24%) had pulmonary symptoms. High-resolution computed tomography (HRCT) scans of the chest revealed involvement of lung parenchyma in 18 patients (53%) and of the pleura in 14 patients (41%). Bronchoalveolar lavage fluid analysis revealed the presence of an opalescent aspirate in all the patients studied. Treatment with corticosteroids and/or interferon-␣ (IFN␣) resulted in a marked improvement of the pulmonary lesions in only a single patient. Comparison of the survival between patients with and those without pulmonary involvement yielded no significant difference between the groups (P ‫؍‬ 0.82).Conclusion. Pulmonary involvement in ECD has been overlooked in previous studies. HRCT reveals typical lesions in most patients. There is no clear response of these lesions to corticosteroids and IFN␣. The overall prognosis of the disease is poor, but pulmonary involvement does not appear to be a major prognostic factor in ECD.

Neural machine translation represents an exciting leap forward in translation quality. But what longstanding weaknesses does it resolve, and which remain? We address these questions with a challenge set approach to translation evaluation and error analysis. A challenge set consists of a small set of sentences, each hand-designed to probe a system's capacity to bridge a particular structural divergence between languages. To exemplify this approach, we present an English-French challenge set, and use it to analyze phrase-based and neural systems. The resulting analysis provides not only a more fine-grained picture of the strengths of neural systems, but also insight into which linguistic phenomena remain out of reach.