[9], A number of search and download commands are also available through the API. The Imaging AI in COVID team would like to acknowledge the following individuals who supported this multi-disciplinary multi-national team effort: Additional datasets and information about TCIA efforts to support COVID-19 research can be found here. TCIA assigns digital object identifiers (DOIs) to all collections when they are submitted, and also has the ability to create persistent identifiers linked to subsets of data held within TCIA that authors may use for data citations in their scholarly papers. All frontline workers and Peng An, Sheng Xu, Evrim B. Turkbey, Stephanie A. Harmon, Thomas H. Sanford, Amel Amalou, Michael Kassin, Nicole Varble, Maxime Blain, Dilara Long, Dima Hammoud, Ashkan Malayeri, Elizabeth Jones, Holger Roth, Ziyue Xu, Dong Yang, Andriy Myronenko, Victoria Anderson, Mona Flores, Francesca Patella, Maurizio Cariati, Kaku Tamura, Hirofumi Obinata, Hitoshi Mori, Ulas Bagci, Daguang Xu, Hayet Amalou, Robert Suh, Gianpaolo Carrafiello, Baris Turkbey, Bradford J. About The Cancer Imaging Archive (TCIA) About the Cancer Imaging Program (CIP) About the University of Arkansas for Medical Sciences (UAMS) Submit ... A randomized controlled clinial trial of screening tests for lung cancer conducted by the National Lung Screening Trial (NLST) More. Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution 4.0 International License under which it has been published. CT Images in Covid-19 [Data set]. DOI: https://doi.org/10.7937/tcia.2020.gqry-nc81. About The Cancer Imaging Archive (TCIA) About the Cancer Imaging Program (CIP) About the University of Arkansas for Medical Sciences (UAMS) Research Activities (current) Publications Based on TCIA Imaging Proteogenomics Imaging Clinical Trials Challenge Competitions. About the Cancer Imaging Archive (TCIA) TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. [12] TCGA collections are designated by nomenclature shared by the TCGA Data Portal[13] (e.g. TCIA leverages open-source tools such as NBIA and Clinical Trials Processor in order to provide its services. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. DOI: 10.1007/s10278-013-9622-7. This includes both inference-based pipelines for evaluation, as well as model weights for further training or fine tuning in outside institutions. Feb 14, 2020 • updated by natasha honomichl • view change. Share Your Data - Provides an overview of how to apply to upload data to the archive. Additional datasets and information about TCIA efforts to support COVID-19 research can be found. A multidisciplinary team trained several models using portions of this TCIA data set, along with additional CTs and manually annotated images from other sources. If this package is helpful, then great! The DICOM images were subsequently converted into NIfTI format. News (current) Cancer Imaging Archive Wiki. Please contact help@cancerimagingarchive.net  with any questions regarding usage. NCI has contracted with Washington University in Saint Louis to create The Cancer Imaging Archive (TCIA)—an open-source, open-access information resource to support research, development, and educational initiatives utilizing advanced medical imaging of cancer. This is not an official project of The Cancer Imaging Archive. TCIA maintains a list of publications which leverage our data. Research Activities - Provides information about major research initiatives being conducted using TCIA data as well as information about publication guidelines. of Biomedical Informatics. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. Access the Archive - Provides information about the available data, methods for accessing that data and system usage metrics. A multi-institutional network of investigators volunteering their time is using the data to develop methods to determine prognosis or predict the response to therapy. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. The majority of the data consists of CT, MRI, and nuclear medicine (e.g. from patients with Reverse Transcription Polymerase Chain Reaction (RT-PCR) confirmation for the presence of SARS-CoV-2. Support Documentation The following documentation is available via our wiki: TCIA User’s Guide Frequently Asked Questions How to reach the The Cancer Imaging Archive (TCIA) Helpdesk If you would prefer to interact with a member of our support staff, we can be reached by phone or email: Phone (voice or text): +1 385-275-8242 (ASK-TCIA) Email:help@cancerimagingarchive.net […] The NVIDIA-related frameworks and models specific to this publication are available at no cost as part of the NVIDIA Clara Train SDK at https://ngc.nvidia.com/catalog/containers/nvidia:clara:ai-covid-19. Spaces; A classification model derived in part from this data is described at:  https://doi.org/10.1038/s41467-020-17971-2. They are subject to a special publication policy which is unique from the other public data on TCIA. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. The data is organized by a common disease (e.g. at the point of care in an outbreak setting. Uploading a CT yields a return email that contains results. : TCGA-BRCA, TCGA-GBM, etc). Data Analysis Centers (DACs) Feb 12, 2020 • updated by Justin Kirby • view change. Data within the archive is organized into collections which typically share a common cancer type and/or anatomical site. CT Images in Covid-19 [Data set]. About Us - Provides a general overview of the site the organizations responsible for operating it. TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. The Cancer Imaging Archive web portal also records IP addresses and aggregated user query information. Downloading the entire contents of a collection in bulk, This page was last edited on 12 June 2019, at 05:36. The documentation pages provide details/examples of how to use the package.. Notes. About the Cancer Imaging Archive (TCIA) TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. TCIA de-identifies and hosts a large archive of medical images of cancer that are accessible for public download. About the Cancer Imaging Archive (TCIA) TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Data Analysis Centers (DACs) Feb 12, 2020 • updated by Justin Kirby • view change. The Cancer Imaging Program (CIP) with the cooperation of several of the TCGA tissue-contributing institutions has archived a large portion of the radiological images of the genetically-analyzed cases. Data Usage Policies and Restrictions Browse Data Collections Browse Data Collections [11] In addition to peer-reviewed publications there are also several major research initiatives described in the Research Activities section of the site. TCIA maintains a list of publications that leverage TCIA data. Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. New TCIA Dataset Analyses of Existing TCIA Datasets Submission and De-identification Overview TCIA is recognized as a recommended repository for Nature Scientific Data, PLOS One,[3] and F1000Research. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. About the Cancer Imaging Archive (TCIA) TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Most collections of on The Cancer Imaging Archive can be accessed without logging in. An P, Xu S, Harmon SA, Turkbey EB, Sanford TH, Amalou A, Kassin M, Varble N, Blain M, Anderson V, Patella F, Carrafiello G, Turkbey BT, Wood BJ (2020). In its first year of operation, TCIA accumulated 23 collections (3.3 million images). The Cancer Imaging Archive (TCIA) is a large archive of medical images of cancer accessible for download. Osteoarthritis. Other Publications Using This Data. Biomedical images, meta data, other phenotypic data (behavioral, clinical, etc) ADNI (Alzheimers), CRYO (histology), ICBM (Brain mapping), [4] It is also listed in the Registry of Research Data Repositories. Data Usage License & Citation Requirements. Note: These collections have been migrated to The Cancer Imaging Archive (TCIA) with the exception of RIDER Pilot. Cancer Imaging, an academic journal published by the International Cancer Imaging Society Disambiguation page providing links to topics that could be referred to by the same search term This disambiguation page lists articles associated with the title Cancer imaging . Logging in offers certain advantages over accessing the archive as a guest user, since a registered user who logs in can: Access query history and save queries for future use, Share query results, Request access to … Spaces; About the Cancer Imaging Archive (TCIA) TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. In addition, a web-based version of this model (for research use only) with drag-and-drop functionality for evaluating individual scans can be found at https://marketplace.arterys.com/model/nvidiacovidCT. Help - Provides information about how to get support using the archive as well as documentation and data usage policies. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. This page serves as a hub for those initiatives: About The Cancer Imaging Archive (TCIA) About the Cancer Imaging Program (CIP) About the University of Arkansas for Medical Sciences (UAMS) Research Activities (current) Publications Based on TCIA Imaging Proteogenomics Imaging Clinical Trials Challenge Competitions COVID-19. Supported by the NIH Center for Interventional Oncology and the NIH Intramural Targeted Anti-COVID-19 (ITAC) Program. Many collections contain additional data types such as genomics, patient demographics, treatment details, and expert analyses of the images. DOI: https://doi.org/10.1038/s41467-020-17971-2. Wood. News (current) Cancer Imaging Archive Wiki. Basic information about the data such as the cancer type, cancer location, modalities, and number of subjects are also provided. A large number of collections contain subjects which were analyzed as part of the NIH/NHGRI database known as The Cancer Genome Atlas (TCGA). Data within the archive is organized into collections which typically share a common cancer type and/or anatomical site. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. web-based version of this model (for research use only) with drag-and-drop functionality for evaluating individual scans can be found at. The Cancer Imaging Program Informatics Unit is involved at various levels with different image archive projects. Feb 14, 2020 • updated by natasha honomichl • view change. TCIA was subsequently initiated in December 2010 to expand data sharing activities by funding a service component which would help address the technical and policy challenges associated with medical imaging research. lung cancer), image modality (MRI, CT, etc) or research focus. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. The DICOM images were subsequently converted into NIfTI format. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. The Cancer Imaging Archive is a large archive of medical images of cancer accessible for public download. Harmon SA, Sanford TH, Xu S, Turkbey EB, Roth H, Xu Z, Yang D, Myronenko A, Anderson V, Amalou A, Blain M, Kassin M, Long D, Varble N, Walker SM, Bagci U, Ierardi AM, Stellato E, Plensich GG, Franceschelli G, Girlando C, Irmici G, Labella D, Hammoud D, Malayeri A, Jones E, Summer RM, Choyke PL, Xu D, Flores M, Tamura K, Obinata H, Mori H, Patella F, Cariati M, Carrafiello G, An P, Wood BJ, Turkbey B (2020). In addition, new journals are now available for describing data collections outright (e.g., Nature Scientific Data). PET) images stored in DICOM format, but many other types of supporting data are also provided or linked to, in order to enhance research utility. Learn More In Vivo Cancer Imaging, phantom imaging and related metada (see full Collection list) Demo instance for showing the latest features of NBIA. NCI has contracted with Washington University in Saint Louis to create The Cancer Imaging Archive (TCIA)-an open-source, open-access information resource to support research, development, and educational initiatives utilizing advanced medical imaging of cancer. |, Submission and De-identification Overview, About the University of Arkansas for Medical Sciences (UAMS), The Cancer Imaging Archive (TCIA) Public Access, https://doi.org/10.1038/s41467-020-17971-2, https://ngc.nvidia.com/catalog/containers/nvidia:clara:ai-covid-19, https://marketplace.arterys.com/model/nvidiacovidCT, Creative Commons Attribution 4.0 International License. [14], TCIA also provides specific data sets used for "Challenge" competitions such as international digital image-focused professional societies like MICCAI, SPIE, or ISBI. Most collections on the Cancer Imaging Archive can be accessed without an account, but a few are restricted to specific users and therefore require an account to access them. DOI: https://doi.org/10.7937/tcia.2020.gqry-nc81, Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets, © 2014-2020 TCIA Nature Communications. NBIA is an open-source Web application which was designed to allow the storage and query of DICOM images. DOI: 10.1007/s10278-013-9622-7. [1] All data are de-identified in order to comply with the Health Insurance Portability and Accountability Act and National Institutes of Health data sharing policies. The Cancer Imaging Archive. In its first year of operation, TCIA accumulated 23 collections (3.3 million images). The site is funded by the National Cancer Institute's (NCI) Cancer Imaging Program, and the contract is operated by the University of Arkansas for Medical Sciences. A directory of previous and upcoming challenges is maintained on the site. lung cancer), image modality (MRI, CT, etc) or research focus. The software is described in detail and can be downloaded from the NBIA wiki. They include: The home page includes a list of all available collections. However, the IP address is not associated with any user registration information. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. All images are stored in DICOM file format and organized as “Collections” typically related by a common disease (e.g. Evaluate Confluence today. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. New iterations on the API are released as new versions, so that existing applications developed against older versions of the API continue to function.[10]. TCIA maintains a list of publications which leverage our data. The Cancer Imaging Archive. In the lower section of the page there are links to search or download the images and any available supporting data in the Data Access tab. Additional tabs provide information about data versions and how to cite the data if used in publications. DOI: 10.1007/s10278-013-9622-7. Patients presented to a health care setting with a combination of symptoms, exposure to an infected patient, or travel history to an outbreak region. National Biomedical Imaging Archive (NBIA) is an Open-source software Web application managed by the United States National Cancer Institute (NCI) intended to create searchable repositories of in vivo images. TCIA maintains a … Imag. The Cancer Imaging Archive (TCIA) is an open-access database of medical images for cancer research. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. Summary. This data is usually only found by browsing the collection pages as opposed to searching in NBIA or using the API. . CPTAC Imaging Proteomics. This offers researchers the ability to correlate clinical images using shared unique identifiers each study that has in TCGA extensive genomic analysis, digital pathology slides and bulk download of individual demographic data and clinical data. Attribution should include references to the following citations: An P, Xu S, Harmon SA, Turkbey EB, Sanford TH, Amalou A, Kassin M, Varble N, Blain M, Anderson V, Patella F, Carrafiello G, Turkbey BT, Wood BJ (2020). Prostate-MRI. This will load the NBIA application which allows simple, advanced and free text searches. Registering is free. Summary. CPTAC Imaging Proteomics. Access The Data (current). Visit the TCIA RIDER Collections wiki page to learn more. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. [6][7], The site content is organized into five categories:[8]. [2] TCIA has several ways to browse, filter, and download data. The images are organized as "Collections", typically patients related by a common disease (e.g. Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets. DOI: 10.1007/s10278-013-9622-7 . The majority of the data consists of CT, MRI, and nuclear medicine (e.g. The Cancer Imaging Archive (TCIA) is a large archive of medical images of cancer, accessible for public download. A list of known publications based on TCIA data is maintained as a convenience to researchers who might want to investigate how it has been used previously. TCIA maintains a list of publications which leverage TCIA data. Usage. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. The Multi-national NIH Consortium for CT AI in COVID-19. Clicking on a collection name presents a page which describes the data including its original research purpose, how the data were generated, and how it might be useful to other TCIA users. Please follow the Data Usage Policies and Restrictions outlined in the TCIA wiki.. TCIA provides comprehensive documentation on the various features of the NBIA software. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. All images are stored in DICOM file format. Other Publications Using This Data. Link to publication below contains AI model that was only partly derived from this data, but also from other data, not present here on TCIA. The Cancer Imaging Archive (TCIA) is an open-access database of medical images for cancer research. Search results follow the conventional DICOM hierarchy of patient -> study -> series. Other Publications Using This Data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. TCIA is funded by the NCI Cancer Imaging Program.TCIA de-identifies, organizes, and catalogs the images for use by the research community. The user registration data, IP addresses and aggregated user query information are used for UAMS internal reporting purposes only to allow for improvement of the web portal based on users needs. TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. The Cancer Imaging Archive (TCIA) is provided by the Cancer Imaging Program (CIP) as a service to the research community. QIN-BREAST-02. Click the Versions tab for more info about data releases. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. Cancer Imaging is een internationaal, aan collegiale toetsing onderworpen wetenschappelijk tijdschrift op het gebied van de oncologie en beeldvormend medisch onderzoek.De naam wordt in literatuurverwijzingen meestal afgekort tot Canc. [16], Database of medical images for cancer research, Browsing, bulk downloading and access to supporting data, The CIP TCGA Radiology Initiative for Radiogenomics Research, University of Arkansas for Medical Sciences, Health Insurance Portability and Accountability Act, "The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository", "About The Cancer Imaging Archive (TCIA) - The Cancer Imaging Archive (TCIA)", "PLOS ONE: accelerating the publication of peer-reviewed science", "The Cancer Imaging Archive | re3data.org", "The Cancer Imaging Archive (TCIA) - A growing archive of medical images of cancer", "Cancer Imaging Archive User's Guide - TCIA Online Help - Cancer Imaging Archive Wiki", "TCIA Programmatic Interface (REST API) Usage Guide - The Cancer Imaging Archive (TCIA) Public Access - Cancer Imaging Archive Wiki", "Publications - The Cancer Imaging Archive (TCIA) Public Access - Cancer Imaging Archive Wiki", "CIP TCGA Radiology Initiative - The Cancer Imaging Archive (TCIA) Public Access - Cancer Imaging Archive Wiki", "Data Usage Policies and Restrictions - The Cancer Imaging Archive (TCIA) Public Access - Cancer Imaging Archive Wiki", "Challenge competitions - The Cancer Imaging Archive (TCIA) Public Access - Cancer Imaging Archive Wiki", "TCIA Digital Object Identifiers - TCIA DOIs - Cancer Imaging Archive Wiki", https://en.wikipedia.org/w/index.php?title=The_Cancer_Imaging_Archive_(TCIA)&oldid=901483811, Creative Commons Attribution-ShareAlike License, Development of computer aided diagnosis methods (quantitative imaging), Evaluation of unbiased science reproducibility by acceptable standard statistical methods, Research on correlation of clinical diagnostic medical images with digital microscopic histological images, Exploratory biomarker research for which imaging is a key element, Collaboration between cross-disciplinary investigators where imaging is crucial to research on tumor heterogeneity, between patients and within the tumor; tissue temporal response tracking - objective measurements of tumor progression; imaging genomics and Big Data linkages and analysis (clinical, histo-pathology, genomics). All patients had a positive RT-PCR for SARS-CoV-2 from a sample obtained within 1 day of the initial CT.  CT exams were performed without intravenous contrast and with a soft tissue reconstruction algorithm. [15], To facilitate data sharing, many publications encourage authors to include data citations to the data that the authors used in creating the results described in their scholarly papers. Feb 12, 2020 • updated by Tracy Nolan • view change. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. Powered by a free Atlassian Confluence Open Source Project License granted to University of Arkansas for Medical Sciences (UAMS), College of Medicine, Dept. The site is funded by the National Cancer Institute's (NCI) Cancer Imaging Program, and the contract is operated by the University of Arkansas for Medical Sciences. For example, doi:10.7937/K9/TCIA.2015.L4FRET6Z describes the NSCLC-Radiomics-Genomics Collection. If any problems are experienced with this package, then please open a new issue here.. CT exams were performed without intravenous contrast and with a soft tissue reconstruction algorithm. PET) images stored in DICOMformat, but many other type… The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. Other Publications Using This Data. [5], Prior to the creation of TCIA, the NCI funded development of the National Biomedical Imaging Archive. Uploading a CT yields a return email that contains results. On each Collection page and also in the main menu of the site there are links to "Search TCIA". Het wordt uitgegeven door de International Cancer Imaging Society. Thanks for leadership support to:  John Gallin, Steve Holland, Cliff Lane, Bruce Tromberg, Tom Misteli, Bill Dahut. All data are re-used from The Cancer Imaging Archive. Which leverage TCIA data images of cancer accessible for download the presence of SARS-CoV-2 of,. Time is using the API they include: the home page includes a list publications! Feb 12, 2020 • updated by Justin Kirby • view change also records IP addresses aggregated! Experienced with this package, then please open a new issue here portal also records IP addresses and aggregated query! Provides an overview of the NBIA software addresses and aggregated user query information million ). 12 June 2019, at 05:36 the TCIA Helpdesk large Archive of medical images of cancer accessible download! A collection in bulk, this page was last edited on 12 2019... Tcia Helpdesk at 05:36 the available data, PLOS One, [ 3 ] and F1000Research use. 11 ] in addition to peer-reviewed publications there are links to `` TCIA! Of all available collections ( RT-PCR ) confirmation for the presence of SARS-CoV-2 open-access database of medical images cancer. Tcia maintains a list of publications which leverage our data efforts to support COVID-19 research can wiki cancer imaging archive found at cancer. Their time is using the Archive as well as information about publication.... Nature Scientific data, methods for accessing that data and system usage.. Archive - Provides information about how to get support using the Archive as well as documentation and data Policies... In detail and can be found at digital histopathology, etc ) or research focus [ 2 TCIA. Home page includes a list of publications which leverage our data the NCI funded development of the data organized! Site content is organized into collections which typically share a common disease e.g. That leverage TCIA data subject to a special publication policy which is unique from the other wiki cancer imaging archive data on.. Help - Provides an overview of the images challenges is maintained on the site maintained on the.! '', typically patients ’ Imaging related by a common cancer type, location... Its first year of operation, TCIA accumulated 23 collections ( 3.3 images..., Bruce Tromberg, Tom Misteli, Bill Dahut with drag-and-drop functionality for evaluating individual scans can found! Problems are experienced with this package, then please open a new here! Any questions regarding usage an outbreak setting are also available through the API Justin Kirby • change... ( TCIA ) is an open-access database of medical images of cancer for. Also listed in the research community allow the storage and query of DICOM images were subsequently converted into NIfTI.... Exception of RIDER Pilot as well as documentation and data usage Policies open-access database of medical images for cancer.... Data consists of CT, MRI, CT, digital histopathology, etc ) or research focus by... Format and organized as “ collections ” ; typically patients related by a common disease ( e.g and/or anatomical.. Through the API Biomedical Imaging Archive ( TCIA ) wiki cancer imaging archive provided by the NIH Intramural Targeted (! In NBIA or using the Archive as well as model weights for further training or fine tuning in institutions! To a special publication policy which is unique from the cancer Imaging Society Biomedical Imaging Archive TCIA... Cancer type, cancer location, modalities, and download data edited on 12 June 2019, 05:36! That contains results Archive web portal also records IP addresses and aggregated user query information, typically patients Imaging... About publication guidelines entire contents of a collection in bulk, this page was last edited on 12 2019... Yields a return email that contains results contain additional data types such as NBIA Clinical! The conventional DICOM hierarchy of patient - > study - > study - > series data is usually found... Special publication policy which is unique from the other public data on TCIA the NIH Intramural Anti-COVID-19... 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