1611 10 20655 https://www.socictopen.socict.org/files/original/49022eb094b63fc40e90744435c5f17b.pdf 504399987a03e5b789fd3da0da0aab7b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Racial and Gender-Based Differences in COVID-19 Creator An entity primarily responsible for making the resource Abhilash Perisetti, Hemant Goyal, Mahesh Gajendran, Jonathan Kopel, Ali Roghani, Muhammad Aziz Description An account of the resource The novel coronavirus disease (COVID-19) has become a global health crisis since its first appearance in Wuhan, China. Current epidemiological studies suggest that COVID-19 affects older patients with multiple comorbidities, such as hypertension, obesity, and chronic lung diseases. The differences in the incidence and severity of COVID-19 are likely to be multifaceted, depending on various biological, social, and economical factors. Specifically, the socioeconomic differences and psychological impact of COVID-19 affecting males and females are essential in pandemic mitigation and preparedness. Previous clinical studies have shown that females are less susceptible to acquire viral infections and reduced cytokine production. Female patients have a higher macrophage and neutrophil activity as well as antibody production and response. Furthermore, in-vivo studies of the angiotensin-converting enzyme 2 (ACE2) showed higher expression in the kidneys of male than female patients, which may explain the differences in susceptibility and progression of COVID-19 between male and female patients. However, it remains unknown whether the expression of ACE2 differs in the lungs of male or female patients. Disparities in healthcare access and socioeconomic status between ethnic groups may influence COVID-19 rates. Ethnic groups often have higher levels of medical comorbidities and lower socioeconomic status, which may increase their risk of contracting COVID-19 through weak cell-mediated immunity. In this article, we examine the current literature on the gender and racial differences among COVID-19 patients and further examine the possible biological mechanisms underlying these differences. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource coronavirus, covid-19, Pandemic, SARS-CoV-2, gender, sex Identifier An unambiguous reference to the resource within a given context 10.3389/fpubh.2020.00418 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine https://www.socictopen.socict.org/files/original/2c6fd449222dfd969139dfdeff016d4c.pdf d2fc7cb86b9c5fb8f1faf3929bb0c1e4 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Racial Disparities in COVID-19-related Deaths in Brazil: Black Lives Matter? Creator An entity primarily responsible for making the resource Paulo Ricardo Martins-Filho, Brenda Carla Lima Araújo, Karyna Batista Sposato, Adriano Antunes de Souza Araújo, Lucindo José Quintans-Júnior, Victor Santana Santos Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.2188/jea.JE20200589 Source A related resource from which the described resource is derived Journal of Epidemiology Publisher An entity responsible for making the resource available Japan Epidemiological Association Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine (General) https://www.socictopen.socict.org/files/original/b86256664f41839a9752994ed6849f7a.pdf 80d47e3e7e350ac239ead086c8e85fb1 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Racial disparities in medication use: imperatives for managed care pharmacy. Creator An entity primarily responsible for making the resource Stephen J Kogut Description An account of the resource The COVID-19 pandemic and the social unrest pervading U.S. cities in response to the killings of George Floyd and other Black citizens at the hands of police are historically significant. These events exemplify dismaying truths about race and equality in the United States. Racial health disparities are an inexcusable lesion on the U.S. health care system. Many health disparities involve medications, including antidepressants, anticoagulants, diabetes medications, drugs for dementia, and statins, to name a few. Managed care pharmacy has a role in perpetuating racial disparities in medication use. For example, pharmacy benefit designs are increasingly shifting costs of expensive medications to patients, creating affordability crises for lower income workers, who are disproportionally persons of color. In addition, the quest to maximize rebates serves to inflate list prices paid by the uninsured, among which Black and Hispanic people are overrepresented. While medication cost is a foremost barrier for many patients, other factors also propagate racial disparities in medication use. Even when cost sharing is minimal or zero, medication adherence rates have been documented to be lower among Blacks as compared with Whites. Deeper understandings are needed about how racial disparities in medication use are influenced by factors such as culture, provider bias, and patient trust in medical advice. Managed care pharmacy can address racial disparities in medication use in several ways. First, it should be acknowledged that racial disparities in medication use are pervasive and must be resolved urgently. We must not believe that entrenched health system, societal, and political structures are impermeable to change. Second, the voices of community members and their advocates must be amplified. Coverage policies, program designs, and quality initiatives should be developed in consultation with those directly affected by racial disparities. Third, the industry should commit to dramatically reducing patient cost sharing for essential medication therapies. Federal and state efforts to limit annual out-of-pocket pharmacy spending should be supported, even though increased premiums may be an undesirable (yet more equitable) consequence. Finally, information about race should be incorporated into all internal and external reporting and quality improvement activities. DISCLOSURES: No funding was received for the development of this manuscript. Kogut is partially supported by Institutional Development Award Numbers U54GM115677 and P20GM125507 from the National Institute of General Medical Sciences of the National Institutes of Health, which funds Advance Clinical and Translational Research (Advance-CTR), and the RI Lifespan Center of Biomedical Research Excellence (COBRE) on Opioids and Overdose, respectively. The content is solely the responsibility of the author and does not necessarily represent the official views of the National Institutes of Health. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.18553/jmcp.2020.26.11.1468 Source A related resource from which the described resource is derived Journal of managed care & specialty pharmacy https://www.socictopen.socict.org/files/original/38c65968d3da8c136a4779335213dfab.pdf 4e70b3396fedffa0de20f2a1870d9f1d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Racionalidade de Urbano Industrial: A Única Possível? Creator An entity primarily responsible for making the resource Cleide Lavoratti Description An account of the resource A agricultura familiar, no Brasil, é um setor que, desde a colonização do território, época em que priorizou-se a grande propriedade e a monocultura de exportação, vem enfrentando dificuldades, construídas historicamente, quanto à sua reprodução. As políticas de créditos, incentivos e modernização da agricultura brasileira, também excluíram esse segmento dos “avanços tecnológicos” que possibilitariam o seu desenvolvimento. Consequentemente, em muitas regiões, a agricultura familiar restringiu-se à produção de subsistência. Frente a esse contexto de exclusão, acirrado pelo processo de modernização agrícola, a partir da década de 70, no Brasil, ocorre uma redução significativa de pequenos estabelecimentos agrícolas, que não conseguiam concorrer com a produção mecanizada e especializada das grandes propriedades modernizadas; como também da população ocupada no meio rural, visto a liberação da mão-de-obra trazida pela mecanização agrícola no campo. As análises sobre a pequena produção no país (e não só nele), a partir das transformações capitalistas no campo e, referendadas em categorias de análises dentro de uma racionalidade urbana-industrial, postulavam o desaparecimento desse segmento de agricultores no Brasil. No entanto, mesmo com os bloqueios que, historicamente, dificultaram a reprodução de pequenos agricultores familiares no Brasil, estes, continuam se reproduzindo e enfrentando os obstáculos através de estratégias que, mesmo em um contexto já determinado em certos aspectos, permitem a reprodução familiar e a reprodução da unidade produtiva. O presente trabalho, buscará apontar portanto, algumas discussões que giram em torno da temática “racionalidade”, para que, através delas possamos realizar uma primeira aproximação com uma das categorias essenciais que ajudarão na compreensão do objeto de estudo que refere-se à racionalidade específica do agricultor familiar do distrito rural de Itaicoca - Município de Ponta Grossa (PR), de suas estratégias de reprodução de um modo de vida peculiar, em um contexto em que vários fatores (ambientais, sócio- econômicos, políticos e sociais) aparecem como bloqueios a esta reprodução. PALAVRAS-CHAVE: racionalidade urbano-industrial, agricultura familiar, estratégias de reprodução. Date A point or period of time associated with an event in the lifecycle of the resource 2009 Source A related resource from which the described resource is derived Emancipação Publisher An entity responsible for making the resource available Universidade Estadual de Ponta Grossa Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sociology (General), Social Sciences Relation A related resource <a href="https://revistas2.uepg.br/index.php/emancipacao/article/view/31" target="_blank" rel="noreferrer noopener">https://revistas2.uepg.br/index.php/emancipacao/article/view/31</a> https://www.socictopen.socict.org/files/original/9cfa8c13f24e37db2a4bfe3d0778a00d.pdf 2b4a5b6b9917fcebcf83dd63f508ae4d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource RAD tag sequencing as a source of SNP markers in <it>Cynara cardunculus </it>L Creator An entity primarily responsible for making the resource Scaglione Davide, Acquadro Alberto, Portis Ezio, Tirone Matteo, Knapp Steven J, Lanteri Sergio Description An account of the resource Abstract Background The globe artichoke (Cynara cardunculus L. var. scolymus) genome is relatively poorly explored, especially compared to those of the other major Asteraceae crops sunflower and lettuce. No SNP markers are in the public domain. We have combined the recently developed restriction-site associated DNA (RAD) approach with the Illumina DNA sequencing platform to effect the rapid and mass discovery of SNP markers for C. cardunculus. Results RAD tags were sequenced from the genomic DNA of three C. cardunculus mapping population parents, generating 9.7 million reads, corresponding to ~1 Gbp of sequence. An assembly based on paired ends produced ~6.0 Mbp of genomic sequence, separated into ~19,000 contigs (mean length 312 bp), of which ~21% were fragments of putative coding sequence. The shared sequences allowed for the discovery of ~34,000 SNPs and nearly 800 indels, equivalent to a SNP frequency of 5.6 per 1,000 nt, and an indel frequency of 0.2 per 1,000 nt. A sample of heterozygous SNP loci was mapped by CAPS assays and this exercise provided validation of our mining criteria. The repetitive fraction of the genome had a high representation of retrotransposon sequence, followed by simple repeats, AT-low complexity regions and mobile DNA elements. The genomic k-mers distribution and CpG rate of C. cardunculus, compared with data derived from three whole genome-sequenced dicots species, provided a further evidence of the random representation of the C. cardunculus genome generated by RAD sampling. Conclusion The RAD tag sequencing approach is a cost-effective and rapid method to develop SNP markers in a highly heterozygous species. Our approach permitted to generate a large and robust SNP datasets by the adoption of optimized filtering criteria. Date A point or period of time associated with an event in the lifecycle of the resource 2012 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/1471-2164-13-3 Source A related resource from which the described resource is derived BMC Genomics Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Genetics, Biotechnology Language A language of the resource EN https://www.socictopen.socict.org/files/original/7f81bc598dadd708be4611d1dab30f47.pdf 6546babe073d4f32132958a84b703020 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Radiation oncology physics coverage during the COVID-19 pandemic: Successes and lessons learned. Creator An entity primarily responsible for making the resource Nels C Knutson, James A Kavanaugh, H Harold Li, Jacqueline E Zoberi, Tianyu Zhao, Olga Green, Vivian Rodriguez, Baozhou Sun, Francisco J Reynoso, Alex T Price, Michael T Prusator, Taeho Kim, Bin Cai, Geoffrey D Hugo Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1002/acm2.13225 Source A related resource from which the described resource is derived Journal of applied clinical medical physics https://www.socictopen.socict.org/files/original/6c7beb03e0214c77e17765e37af19f4e.pdf 1d1ec79123ff005edcc34c4556fda853 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Radiation-Induced Pneumonitis in the Era of the COVID-19 Pandemic: Artificial Intelligence for Differential Diagnosis Creator An entity primarily responsible for making the resource Francesco Maria Giordano, Edy Ippolito, Carlo Cosimo Quattrocchi, Carlo Greco, Carlo Augusto Mallio, Bianca Santo, Pasquale D’Alessio, Pierfilippo Crucitti, Michele Fiore, Bruno Beomonte Zobel, Rolando Maria D’Angelillo, Sara Ramella Description An account of the resource (1) Aim: To test the performance of a deep learning algorithm in discriminating radiation therapy-related pneumonitis (RP) from COVID-19 pneumonia. (2) Methods: In this retrospective study, we enrolled three groups of subjects: pneumonia-free (control group), COVID-19 pneumonia and RP patients. CT images were analyzed by mean of an artificial intelligence (AI) algorithm based on a novel deep convolutional neural network structure. The cut-off value of risk probability of COVID-19 was 30%; values higher than 30% were classified as COVID-19 High Risk, and values below 30% as COVID-19 Low Risk. The statistical analysis included the Mann–Whitney U test (significance threshold at p < 0.05) and receiver operating characteristic (ROC) curve, with fitting performed using the maximum likelihood fit of a binormal model. (3) Results: Most patients presenting RP (66.7%) were classified by the algorithm as COVID-19 Low Risk. The algorithm showed high sensitivity but low specificity in the detection of RP against COVID-19 pneumonia (sensitivity = 97.0%, specificity = 2%, area under the curve (AUC = 0.72). The specificity increased when an estimated COVID-19 risk probability cut-off of 30% was applied (sensitivity 76%, specificity 63%, AUC = 0.84). (4) Conclusions: The deep learning algorithm was able to discriminate RP from COVID-19 pneumonia, classifying most RP cases as COVID-19 Low Risk. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, artificial intelligence, deep learning, Chest CT, radiation pneumonitis Identifier An unambiguous reference to the resource within a given context 10.3390/cancers13081960 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Neoplasms. Tumors. Oncology. Including cancer and carcinogens https://www.socictopen.socict.org/files/original/1fdbcb4839c9bc166f84faa6086b3239.pdf 42d1f0ab4ee91a78503a768f5b223cee Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Radio Universidad Nacional de La Plata ante la pandemia decidió sostener el servicio y cuidar al personal Creator An entity primarily responsible for making the resource Carlos Milito, Gabriel Morini Description An account of the resource Durante la vigencia del aislamiento social preventivo y obligatorio dispuesto por el Gobierno Nacional Argentino a raíz de la pandemia, aparecieron nuevas modalidades en los consumos   culturales, no obstante, la radio ha sido consecuente con su rol de informar e interpretar lo que sucede en una sociedad, acosada por el COVID-19. En este marco, las radios universitarias argentinas cumplen al informar con responsabilidad e interpretar lo que sucede. Cada una de las radios que integran ARUNA, la Asociación de Radios universitarias argentinas lo hace con su huella institucional y con la responsabilidad de ser un medio de comunicación Público. Gabriel Morini, explicó que se decidió una programación en vivo, remota desde el hogar de los comunicadores y técnicos. Subrayó que informar con responsabilidad, garantizar el derecho a la comunicación y proteger la salud de los trabajadores de la emisora fueron los valores innegociables de la institución.   Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource pandemia, Radio, RADIOS UNIVERSITARIAS, rutinas de producción, Programación, contenidos Identifier An unambiguous reference to the resource within a given context 10.24215/16696581e375 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Communication. Mass media https://www.socictopen.socict.org/files/original/351419864a921bf18e3a1d01b5178c94.pdf b6aff3af8f568112a3313dbd03b67295 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Radiological and Laboratory Findings of Patients with COVID-19 Infection at the Time of Admission. Creator An entity primarily responsible for making the resource Mehrdad Bakhshayesh Karam, Sara Haseli, Elham Askari, Saeed Mirsadraee, Mihan Pourabrollah Toutkaboni, Mitrasadat Rezaei, Nazanin Sadraee Description An account of the resource Diagnosis of coronavirus disease 2019 (COVID-19) can be challenging, especially when the real-time quantitative reverse transcription polymerase chain reaction (RT-PCR) is not available or it is negative. In this study, we evaluated imaging and laboratory findings in a group of patients with a multidisciplinary diagnosis of COVID-19 pneumonia. A total of 163 patients with a clinical diagnosis of COVID-19 pneumonia admitted to a specialised respiratory centre in Tehran, Iran were enrolled in this study. The distribution and characteristics of presenting radiological and laboratory findings were evaluated and the relationship to the outcome was investigated. RT-PCR was positive in 92 patients. The diagnosis of COVID-19 in RT-PCR negative patients was made on clinical and radiological features (n=71) and 24 (14.7%) patients died of disease. The common computed tomography (CT) scan findings included ground-glass (94%) and consolidating opacification (12%), mainly in the lower lobes (90%). Peripheral and central lung changes were observed in 90% and 52% of patients, respectively. Lymphopenia, positive CRP, and raised LDH were present in 32%, 65%, and 96% of cases, respectively. A raised LDH of >500U/L was the best predictor of death in these patients (R2=0.6623; OR=24.4). Other markers of outcome included male gender, age (>50 years), lymphopenia, and severe CXR changes. Diagnosis of COVID-19 can be challenging, and a multidisciplinary approach is often needed. Whilst RT-PCR is still the standard diagnostic test, a negative test should be interpreted with caution. Blood tests and imaging can be useful in the diagnosis, monitoring, and risk assessment in patients with COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, CT scan, radiology, laboratory findings, chest x-ray Identifier An unambiguous reference to the resource within a given context 10.30699/IJP.2020.128909.2415 Source A related resource from which the described resource is derived Iranian journal of pathology https://www.socictopen.socict.org/files/original/ac4462a6097eaae2b65af17b793ced48.pdf d105e8a31e6e2a99f9b35f36f2297e1a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Radiological findings of COVID-19-related thromboembolic complications Creator An entity primarily responsible for making the resource Suzan Fouad Omar, Rehab Mohammed Habib, Abdelghany Mohammed Motawea Description An account of the resource Abstract Background The ongoing global pandemic of coronavirus disease 2019 (COVID-19) may cause, in addition to lung disease, a wide spectrum of non-respiratory complications. Among these are thromboembolic complications. The theories that explain the mechanism of thromboembolic complications of COVID-19 are accumulating rapidly, and in addition to the role of imaging for assessment of COVID-19 pneumonia, CT may be useful for identification of these complications, such as pulmonary embolism, ischaemic stroke, mesenteric ischaemia, and acro-ischaemia. Results Thromboembolic manifestations were diagnosed in 10% of our patients (124 patients out of the total 1245 COVID-19 patients); 56 patients (45.2%) presented with pulmonary embolism, 32 patients (25.8%) presented with cerebrovascular manifestations, 17 patients (13.7%) presented with limb affection, and 19 patients (15.3%) presented with gastrointestinal thromboembolic complications. Most of our patients had significant comorbidities; diabetes was found in 72 patients (58%), dyslipidemia in 72 patients (58%), smoking in 71 patients (57.3%), hypertension in 63 patients (50.8%), and morbid obesity in 40 patients (32.2%). Thromboembolic events were diagnosed on admission in 41 patients (33.1%), during the first week in 61 patients (49.2%), and after the first week in 22 patients (17.7%). Conclusions The incidence of thromboembolic complications in COVID-19 patients is relatively high resulting in a multisystem thrombotic disease. In addition to the crucial role of imaging for assessment of COVID-19 pneumonia, CT is important for assessment of the thromboembolic complications, such as pulmonary embolism, ischaemic stroke, mesenteric ischaemia, and peripheral ischaemia, especially in patients with elevated d-dimer levels and those with sudden clinical deterioration. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1186/s43055-021-00446-9 Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medical physics. Medical radiology. Nuclear medicine