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Nieuwenhuijse, D. F.

Publications and source records attributed to Nieuwenhuijse, D. F..

6 recordsLinked to original sources

Emergence and Dynamics of Usutu and West Nile Viruses in the Netherlands, 2016-2022

BackgroundMosquito-borne arboviruses, including Usutu virus (USUV) and West Nile virus (WNV), are emerging threats in Europe, with changes in climate, land use, and increased travel and trade influencing their dynamics. Understanding the emergence and establishment of these viruses in new regions is critical for informing targeted mitigation of drivers of emergence and enhancing public and wildlife health preparedness. MethodsSeven years (2016-2022) of interconnected studies were conducted in the Netherlands. Live birds were sampled by volunteer bird ringers, dead birds were referred for sampling by citizen-scientists and zoological institutions, and mosquitoes were trapped. Samples were tested for USUV and WNV using RT-PCR and screened for Orthoflavivirus antibodies using protein microarray and neutralization assays. Sequencing and phylogenetic analyses were performed. FindingsUSUV was first detected in the Netherlands in 2016, caused large outbreaks in birds until 2018, and resurged in 2022. One dominant, enzootic lineage, co-circulated alongside several limited introductions of a second lineage. A localized WNV lineage 2 outbreak occurred in live birds and mosquitoes in 2020, with another positive bird in 2022 and serological evidence of continued circulation. InterpretationWe provide the first comprehensive, multi-year documentation of two emerging arboviruses in the Netherlands. USUV was enzootically maintained over seven years and was associated with substantial bird mortality. WNV is in an early stage of establishment with no bird mortality observed. Our integrated wildlife sampling was crucial in detecting a human WNV outbreak, bringing this emerging threat to public health attention. FundingZonMw, Dutch Research Council (NWO), European Union, Government of the Netherlands

microbiology↗

Mobilisation and analyses of publicly available SARS-CoV-2 data for pandemic responses

The COVID-19 pandemic has seen large-scale pathogen genomic sequencing efforts, becoming part of the toolbox for surveillance and epidemic research. This resulted in an unprecedented level of data sharing to open repositories, which has actively supported the identification of SARS-CoV-2 structure, molecular interactions, mutations and variants, and facilitated vaccine development and drug reuse studies and design. The European COVID-19 Data Platform was launched to support this data sharing, and has resulted in the deposition of several million SARS-CoV-2 raw reads. In this paper we describe (1) open data sharing, (2) tools for submission, analysis, visualisation and data claiming (e.g. ORCiD), (3) the systematic analysis of these datasets, at scale via the SARS-CoV-2 Data Hubs as well as (4) lessons learned. As a component of the Platform, the SARS-CoV-2 Data Hubs enabled the extension and set up of infrastructure that we intend to use more widely in the future for pathogen surveillance and pandemic preparedness.

bioinformatics↗

Adaptation, spread and transmission of SARS-CoV-2 in farmed minks and related humans in the Netherlands

In the first wave of the COVID-19 pandemic (April 2020), SARS-CoV-2 was detected in farmed minks and genomic sequencing was performed on mink farms and farm personnel. Here, we describe the outbreak and use sequence data with Bayesian phylodynamic methods to explore SARS-CoV-2 transmission in minks and related humans on farms. High number of farm infections (68/126) in minks and farm related personnel (>50% of farms) were detected, with limited spread to the general human population. Three of five initial introductions of SARS-CoV-2 lead to subsequent spread between mink farms until November 2020. The largest cluster acquired a mutation in the receptor binding domain of the Spike protein (position 486), evolved faster and spread more widely and longer. Movement of people and distance between farms were statistically significant predictors of virus dispersal between farms. Our study provides novel insights into SARS-CoV-2 transmission between mink farms and highlights the importance of combing genetic information with epidemiological information at the animal-human interface.

microbiology↗

Jumping back and forth: anthropozoonotic and zoonotic transmission of SARS-CoV-2 on mink farms

The zoonotic origin of the SARS-CoV-2 pandemic is still unknown. Animal experiments have shown that non-human primates, cats, ferrets, hamsters, rabbits and bats can be infected by SARS-CoV-2. In addition, SARS-CoV-2 RNA has been detected in felids, mink and dogs in the field. Here, we describe an in-depth investigation of outbreaks on 16 mink farms and humans living or working on these farms, using whole genome sequencing. We conclude that the virus was initially introduced from humans and has evolved, most likely reflecting widespread circulation among mink in the beginning of the infection period several weeks prior to detection. At the moment, despite enhanced biosecurity, early warning surveillance and immediate culling of infected farms, there is ongoing transmission between mink farms with three big transmission clusters with unknown modes of transmission. We also describe the first animal to human transmissions of SARS-CoV-2 in mink farms. One sentence summarySARS-CoV-2 transmission on mink farms.

genomics↗

Rapid SARS-CoV-2 whole genome sequencing for informed public health decision making in the Netherlands

SARS-CoV-2 is a novel coronavirus that has rapidly spread across the globe. In the Netherlands, the first case of SARS-CoV-2 has been notified on the 27th of February. Here, we describe the first three weeks of the SARS-CoV-2 outbreak in the Netherlands, which started with several different introductory events from Italy, Austria, Germany and France followed by local amplification in, and later also, outside the South of the Netherlands. The timely generation of whole genome sequences combined with epidemiological investigations facilitated early decision making in an attempt to control local transmission of SARS-CoV-2 in the Netherlands.

genomics↗

The COMPARE Data Hubs

Data sharing enables research communities to exchange findings and build upon the knowledge that arises from their discoveries. Areas of public and animal health as well as food safety would benefit from rapid data sharing when it comes to emergencies. However, ethical, regulatory, and institutional challenges, as well as lack of suitable platforms which provide an infrastructure for data sharing in structured formats often lead to data not being shared, or at most shared in form of supplementary materials in journal publications. Here, we describe an informatics platform that includes workflows for structured data storage, managing and pre-publication sharing of pathogen sequencing data and its analysis interpretations with relevant stakeholders.

bioinformatics↗