Eurosurveillance最新文献

{"title":"Genomic insights into the re-emergence of chikungunya virus on Réunion Island, France, 2024 to 2025.","authors":"Etienne Frumence, Géraldine Piorkowski, Nicolas Traversier, Rayane Amaral, Muriel Vincent, Ambroise Mercier, Nazli Ayhan, Laurent Souply, Laura Pezzi, Clément Lier, Gilda Grard, Guillaume André Durand, Xavier Deparis, Fabian Thouillot, Xavier de Lamballerie, Raphaelle Klitting, Marie-Christine Jaffar-Bandjee","doi":"10.2807/1560-7917.ES.2025.30.22.2500344","DOIUrl":"10.2807/1560-7917.ES.2025.30.22.2500344","url":null,"abstract":"<p><p>Chikungunya virus re-emerged on Réunion Island in August 2024, 18 years after a first major outbreak. Analysis of 173 genomes from the current epidemic reveals a monophyletic clade with mutations linked to adaptation to <i>Aedes albopictus</i> mosquitoes, including E1-A226V. Bayesian inference suggests only brief cryptic circulation before detection. The same lineage was also detected on Mayotte Island in March 2025. Continued spread and confirmed travel-related cases in mainland France and globally highlight the risk of wider regional and international dissemination.</p>","PeriodicalId":12161,"journal":{"name":"Eurosurveillance","volume":"30 22","pages":""},"PeriodicalIF":9.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12143119/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144233620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond patient contact: combined short- and long read sequencing reveals continuous occurrence of genomically related carbapenemase-producing Enterobacterales and plasmid mobility in a hospital, Germany, 2018 to 2021.","authors":"Nora Helke Leder, Monika Cristofolini, Sandra Ehrenberg, Mara Lohde, Christian Brandt, Mathias W Pletz, Frank Kipp, Claudia Stein","doi":"10.2807/1560-7917.ES.2025.30.23.2400590","DOIUrl":"10.2807/1560-7917.ES.2025.30.23.2400590","url":null,"abstract":"<p><p>BACKGROUNDCarbapenemase-producing Enterobacterales (CPE) frequently cause nosocomial outbreaks. To investigate these, tracing focused on patients with related CPE strains and spatiotemporal contact (e.g. contact with each other in a room or on a ward during overlapping periods) has limitations. Moreover, as widely available molecular typing methods cannot detect plasmid-related transmissions, carbapenemase gene transfer across enteric bacteria through plasmids in hospitals remains poorly understood.AIMBecause whole-genome sequencing (WGS), particularly long-read sequencing, can offer insights into bacterial relationships both at core-genome and plasmid levels, we tested its utility, using VIM-CPE as example, to investigate plasmid and CPE spread in a hospital beyond outbreaks.METHODSWe included inpatient episodes from 2018 to 2021 involving <i>bla</i> _VIM-bearing CPE isolates. Short- and long-read WGS data were combined with patient movement information to identify genomically related hospital-acquired VIM-CPE and putative transmission routes.RESULTSAmong 43 included inpatient episodes, 27 isolates were hospital-acquired, with 23 genomically related based on core-genome or plasmid analyses. For 14 of these 23 isolates, patient movement data supported suspected transmission events. Plasmid and core-genome level analyses revealed that most transmission events did not temporally concur, occurring over up to 33 months. Thus, conventional infection tracing methods focusing on concurrent spatiotemporal contact missed a substantial proportion of transmission events.CONCLUSIONWith our findings, we advocate for broader epidemiological investigations of temporal connections if genomic data suggest relatedness. We emphasise considering plasmid transfer alongside analyses of core-genome relatedness of bacteria beyond patient contact events to study CPE and resistance spread, and guide infection control strategies.</p>","PeriodicalId":12161,"journal":{"name":"Eurosurveillance","volume":"30 23","pages":""},"PeriodicalIF":9.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12164281/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144283074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of cell phone data to correct Île-de-France population estimates and SARS-CoV-2 incidence, July to September, 2021: a proof-of-concept exercise.","authors":"Arnaud Tarantola, Mohamed Hamidouche","doi":"10.2807/1560-7917.ES.2025.30.22.2400530","DOIUrl":"10.2807/1560-7917.ES.2025.30.22.2400530","url":null,"abstract":"<p><p>BackgroundDuring the COVID-19 pandemic, Santé publique France (SpF) published incidence (SpF<i>i</i>) rates based on census denominators. Denominators using cell phone connection (CPC) data can better reflect the population present and seasonal mobilities.AimGiven uncertainties regarding the actual number of Île-de-France (IdF) residents present in IdF during summer 2021, we aimed to better approximate true incidence rates from positive SARS-CoV-2 tests in IdF using CPC-derived population denominators.MethodThis longitudinal study used the daily number of positive tests (PCR and Ag) on IdF residents in IdF as the numerator and the estimated resident population present in IdF at midnight as the denominator. We computed the mean corrected incidence rate (MCIR) per moving week between 4 July and 9 September 2021.ResultsThe MCIR showed higher incidence rates than initially estimated, especially during August when residents had left IdF for the holidays. Incidence rates reached a peak on 16 August when the SpF<i>i</i> rate per moving week was 200.9 per 100,000 compared with 315.6 per 100,000 with the MCIR, representing a 57% increase.ConclusionUsing local SARS-CoV-2 testing data and real-time population denominators, we showed that indicators using non-geographically referenced test results and fixed population denominators that ignore seasonal mobility can significantly underestimate incidence rates in IdF. New data sources using CPC data provide the opportunity to calculate more accurate and dynamic incidence rates and to map epidemics more precisely and in real time.</p>","PeriodicalId":12161,"journal":{"name":"Eurosurveillance","volume":"30 22","pages":""},"PeriodicalIF":9.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12143120/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144233623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to the editor: Migrant tuberculosis in low-incidence Japan; introduction of pre-entry screening.","authors":"Mugen Ujiie, Akihiro Ohkado, Tomohiko Ukai, Norio Ohmagari, Seiya Kato","doi":"10.2807/1560-7917.ES.2025.30.25.2500404","DOIUrl":"10.2807/1560-7917.ES.2025.30.25.2500404","url":null,"abstract":"","PeriodicalId":12161,"journal":{"name":"Eurosurveillance","volume":"30 25","pages":""},"PeriodicalIF":9.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12207199/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144505263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Author's correction for Euro Surveill. 2025;30(22).","authors":"","doi":"10.2807/1560-7917.ES.2025.30.23.250612c","DOIUrl":"10.2807/1560-7917.ES.2025.30.23.250612c","url":null,"abstract":"","PeriodicalId":12161,"journal":{"name":"Eurosurveillance","volume":"30 23","pages":""},"PeriodicalIF":9.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12164282/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144283073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Epidemiological changes in <i>Chlamydia pneumoniae</i> molecular detections before, during and after the COVID-19 pandemic in 27 European sites and Taiwan, 2018 to 2023.","authors":"Florian Tagini, Søren Anker Uldum, Carla Berengua, Branislav Ivan, Riccarda Capaul, Sophie Edouard, Adrien Fischer, Jacky Flipse, Diego García Martínez de Artola, Daniel Goldenberger, Edou Heddema, Mirjam Hermans, Frank Imkamp, Darja Keše, Clara Lejarraga, Reto Lienhard, Carola Maffioli, Veerle Matheeussen, Patrick M Meyer Sauteur, Irena Mitrovic, Onya Opota, Christina Orasch, Pavel Drevinek, Olivia Peuchant, Liu Po-Yu, Mirja Puolakkainen, Melissa Remy, Khoa Td Thai, Nadia Wohlwend, Gilbert Greub","doi":"10.2807/1560-7917.ES.2025.30.23.2400682","DOIUrl":"10.2807/1560-7917.ES.2025.30.23.2400682","url":null,"abstract":"<p><p>BackgroundDuring the COVID-19 pandemic, non-pharmaceutical interventions (NPIs) such as social distancing, lockdowns and enhanced hygiene led to a decrease in respiratory pathogens. However, as NPIs were relaxed, a resurgence in several respiratory pathogens was observed including one local <i>Chlamydia pneumoniae</i> outbreak in Switzerland, prompting the need for a better understanding of <i>C. pneumoniae</i> epidemiology.AimTo assess temporal and geographical variations in <i>C. pneumoniae</i> detection before, during and after the COVID-19 pandemic.MethodsData on <i>C. pneumoniae</i> PCR detection ratios (number of positive tests/ total number of tests) across pre-pandemic (2018-2019), pandemic (2020-2022) and post-pandemic (2023) periods were collected via a global survey disseminated through various professional networks.Results<i>C. pneumoniae</i> detection ratios were analysed across 28 sites (27 in Europe, one in Taiwan) in 2023 (Dataset A, n = 172,223 tests) and 20 sites from 2018 to 2023 (Dataset B, n = 693,106 tests). Twenty-seven sites were laboratories (hospital or clinical) and one a surveillance system (Denmark). A significant decrease in detection ratios was observed during the pandemic period (from 1.05% to 0.23%, p < 0.001). In 2023, detection ratios increased to 0.28% (p < 0.002). Notable regional variations were found, with statistically significant increases in detection ratios at six sites located in Switzerland and Slovenia, where ratios ranged from 0.52% to 3.25%.DiscussionThe study highlights how NPIs influenced <i>C. pneumoniae</i> epidemiology, with reduced detection during the pandemic and partial resurgence afterwards. Regional variations suggest differing NPI impacts and underscore the need for continued surveillance.</p>","PeriodicalId":12161,"journal":{"name":"Eurosurveillance","volume":"30 23","pages":""},"PeriodicalIF":9.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12164279/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144283075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hospitalisation trends of respiratory syncytial virus (RSV) infection in adults, six European countries, before and during COVID-19, 2016 to 2023.","authors":"Arantxa Urchueguía-Fornes, Richard Osei-Yeboah, Ombeline Jollivet, Caroline Klint Johannesen, Toni Lehtonen, Michiel van Boven, David Gideonse, Rachel A Cohen, Alejandro Orrico-Sánchez, Rolf Kramer, Thea K Fischer, Terho Heikkinen, Harish Nair, Harry Campbell","doi":"10.2807/1560-7917.ES.2025.30.25.2400624","DOIUrl":"10.2807/1560-7917.ES.2025.30.25.2400624","url":null,"abstract":"<p><p>BACKGROUNDRespiratory syncytial virus (RSV) is a major cause of morbidity in older adults.AIMWe aimed to investigate the epidemiology of RSV in adults in five European countries and one region before and during the COVID-19 era.METHODSWe conducted a retrospective analysis using national hospital admission data from Denmark, England, Finland, the Netherlands, Scotland and regional prospective surveillance data from the Spain-Valencia region. We included patients aged ≥ 18 years hospitalised for respiratory tract infections (RTIs) 2016-2023 and assessed RSV-coded and laboratory-confirmed hospitalisations, intensive care unit (ICU) admissions and mortality.RESULTSHospitalisations associated with RSV varied by country and year but increased with increasing age regardless of the use of RSV-coded or RSV-confirmed data, the country or year. The highest hospitalisation rates were in patients aged ≥ 85 years. We found that RSV-coded hospitalisations underestimated the case numbers when compared with laboratory-confirmed cases by an average of 1.9 (standard deviation (SD): ± 0.9). Admissions to ICU associated with RSV in England and CFR in England and Finland displayed different patterns post-COVID-19 pandemic peak but were not notably higher compared with RTI admissions.CONCLUSIONOur findings reveal a consistency of RSV hospital admission patterns between European countries in the study period, with higher incidence rates among older patients. The differences between the numbers of RSV-coded and laboratory-confirmed cases highlight the critical need for improved surveillance, diagnostic practices and coding guidelines to better assess the incidence. Our findings could be vital for guiding public health strategies, particularly with the introduction of RSV vaccines for older adults.</p>","PeriodicalId":12161,"journal":{"name":"Eurosurveillance","volume":"30 25","pages":""},"PeriodicalIF":9.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12207200/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144505262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Molecular detection of <i>Toxoplasma gondii</i> in ready-to-eat salad mixes: multi-country survey using a validated and harmonised standard operating procedure, Europe, 2021 to 2022.","authors":"Rafael Calero-Bernal, Martha Betson, Iva Slana, Barbora Bartosova, Gianluca Marucci, Alessia Possenti, Gema Álvarez-García, Nadja Bier, Anne Mayer-Scholl, Rebecca P Berg, Umer Chaudhry, Nadia M López-Ureña, Weronika Piotrowska, Jacek Sroka, Gro S Johannessen, Rebecca Davidson, Filip Dámek, Radu Blaga, Sandra Thoumire, Barbora Zalewská, Helga C Waap, Pikka Jokelainen, Marco Lalle","doi":"10.2807/1560-7917.ES.2025.30.22.2400594","DOIUrl":"10.2807/1560-7917.ES.2025.30.22.2400594","url":null,"abstract":"<p><p>BackgroundMost <i>Toxoplasma gondii</i> infections in humans are considered foodborne, but the relative importance of the various routes of infection is largely unknown. Consumption of green produce contaminated with <i>T. gondii</i> oocysts has been identified as a possible source.AimWe aimed to estimate the occurrence and prevalence of <i>T. gondii</i> oocysts in commercially available ready-to-eat (RTE) salad mixes in 10 European countries.MethodsA real-time PCR-based method for oocyst detection was developed and optimised by two laboratories and validated in an interlaboratory test. This detection method and a harmonised sampling strategy were applied in a multi-country study. Multivariable logistic regression was used to investigate risk factors for oocyst contamination of RTE salad.ResultsThe real-time PCR method had a detection limit of 10 oocysts per 30 g of salad. We collected 3,329 RTE salad samples (baby leaf and cut leaf mixes) from October 2021 to September 2022. The prevalence of <i>T. gondii</i> oocyst contamination was 4.1% (95% confidence interval (CI): 3.4-4.8%; n = 3,293). In multivariable regression analysis, winter season, sampling and packaging of salad in Northern Europe and production of salad in Western Europe were associated with detection of <i>T. gondii</i>, with no statistically significant differences between salad types.ConclusionWe estimated the prevalence of <i>T. gondii</i> oocysts in RTE leafy green salads using a validated and standardised procedure to assess the potential risk for human infection; highlighting the need to address this risk at each critical point of the salad production chain.</p>","PeriodicalId":12161,"journal":{"name":"Eurosurveillance","volume":"30 22","pages":""},"PeriodicalIF":9.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12143121/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144233621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-time monitoring of excess mortality under a new endemic regime.","authors":"Sasikiran Kandula, Birgitte F de Blasio, Marissa LeBlanc","doi":"10.2807/1560-7917.ES.2025.30.25.2400753","DOIUrl":"10.2807/1560-7917.ES.2025.30.25.2400753","url":null,"abstract":"<p><p>BACKGROUNDMonitoring of mortality to identify trends and detect deviations from normal levels is an essential part of routine surveillance. In many European countries, disruptions in mortality patterns from the COVID-19 pandemic have required revisions to expected mortality estimates (and models) in the current endemic phase of SARS-CoV-2.AIMTo identify essential characteristics for future mortality surveillance and describe two Bayesian methods that satisfy these criteria while being robust to past periods of high COVID-19 mortality. We demonstrate their application in 19 European countries and subnational estimates in the United States, and report measures of model calibration.METHODSWe used a generalised additive model (GAM) with smoothed spline terms for annual trend and within-year seasonality and a generalised linear model (GLM) with a Serfling component for within-year seasonality and breakpoints to detect trend changes in trend. Both approaches modelled change in population size and group-specific (age and sex) mortality patterns.RESULTSModels were well-calibrated and able to estimate national and group-specific mortality before and during the acute COVID-19 pandemic phase. The effect of inclusion of mortality from the acute pandemic period was primarily an increase in uncertainty in expected mortality over the projection period. The GAM approach had better calibration and less variability in bias among countries.CONCLUSIONModels that can adapt to mortality anomalies seen during the acute COVID-19 pandemic period without a need for adjustments to observational data, or tailoring of model specifications, are feasible. The proposed methods can complement operational national and inter-agency surveillance systems currently used in Europe.</p>","PeriodicalId":12161,"journal":{"name":"Eurosurveillance","volume":"30 25","pages":""},"PeriodicalIF":9.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12207195/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144505265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Swine influenza virus surveillance programme pilot to assess the risk for animal and public health, the Netherlands, 2022 to 2023.","authors":"Erhard van der Vries, Evelien A Germeraad, Annelies Kroneman, Lucía Dieste-Pérez, Dirk Eggink, Eveline Willems, Alexander Mp Byrne, Nicola Lewis, Manon Houben, Ron Fouchier, Adam Meijer, Joke van der Giessen","doi":"10.2807/1560-7917.ES.2025.30.22.2400664","DOIUrl":"10.2807/1560-7917.ES.2025.30.22.2400664","url":null,"abstract":"<p><p>BackgroundSwine influenza has a considerable impact on pig populations and poses a pandemic threat to humans. However, little is known about the influenza A viruses circulating among pigs in the Netherlands.AimWe piloted a surveillance programme aimed at enabling swine influenza A virus (swIAV) surveillance in the Netherlands: investigated prevalence, genomic characteristics and recent evolution of circulating swIAV variants and compared them with relevant human and swine influenza viruses from the Netherlands and other European countries.MethodsWe collected and tested respiratory samples from pigs (2019-2023) for swIAV, characterised the viruses with molecular and virological methods and shared molecular data of swine and relevant human influenza A viruses in a national platform.ResultsWe detected swIAV throughout the year in 342 (42%) of 824 respiratory samples from 90 farms. Complete genome sequencing identified 73 H1N1, 51 H1N2 and one H3N2 viruses. Phylogenetic analyses identified viruses from each of the three H1 swine lineages (1A/B/C) and four subclades. Viruses from the 1A lineage clustered into three subgroups with distinct antigenic properties, which seemed descendent from separate introductions of human seasonal A(H1N1)pdm09 viruses. Phenotypically, no reduced susceptibility to existing antiviral drugs oseltamivir and zanamivir was found.ConclusionWe provided insights into swIAVs in pigs in the Netherlands, including antiviral susceptibility and antigenic differences. It highlighted occasional virus transmission between humans and pigs. Sharing swIAV data at a national level will be continued to reduce influenza burden in swine and support identification and characterisation of emerging swIAVs with zoonotic potential.</p>","PeriodicalId":12161,"journal":{"name":"Eurosurveillance","volume":"30 22","pages":""},"PeriodicalIF":9.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12143122/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144233622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}