382 10 20655 https://www.socictopen.socict.org/files/original/0212d6c3e7331c759d1f9395bc4b53c7.pdf 61172f057d52c418b5e470627337feeb 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 A Guide for Oncologic Patient Management during Covid-19 Pandemic: The Initial Experience of an Italian Oncologic Hub with Exemplificative Focus on Uro-Oncologic Patients Creator An entity primarily responsible for making the resource Matteo Ferro, Ottavio De Cobelli, Gennaro Musi, Fabrizio Mastrilli, Stefano Luzzago, Francesco A. Mistretta, Luigi Orlando Molendini, Enza Dossena Description An account of the resource The recent exponential increase in the number of COVID-19 patients in Italy led to the adoption of specific extraordinary measures, such as the need to convey treatment of all non-deferrable cancer patients to specialized centres (hubs). We reported a comprehensive summary of guidelines to create and run an oncologic hub during the COVID-19 pandemic. Oncologic hubs must fulfil some specific requirements such as a high experience in oncologic patient treatment, strict strategies applied to remain a “COVID-19-free” centre, and the creation of a dedicated multidisciplinary “hub team”. Cancer treatment of patients who belong to external centres, namely spoke centres, could be organized in different pathways according to the grade of involvement and/or availability of the medical team of the spoke centre. Moreover, dedicated areas should be created for the management and treatment of patients who developed COVID-19 symptoms after hospitalization (i.e., dedicated wards, operation rooms and intensive care beds). Lastly, hospital staff must be highly trained for both preventing COVID-19 contagion and treating patients who develop the infection. We provided a simplified, but complete and easily applicable guide. We believe that this guide could help those clinicians who have to treat oncologic patients during the COVID-19 pandemic. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Surgical Oncology, Medical oncology, Oncology Service, SARS-CoV-2, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/cancers12061513 Source A related resource from which the described resource is derived Cancers Publisher An entity responsible for making the resource available MDPI AG 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/a89ffc387eb3edff4d392ef789cdafaa.pdf 588f1adb1714cb6a86b6616e714d4ef0 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 The spatial and temporal pattern of COVID-19 and its effect on humans’ development in China Creator An entity primarily responsible for making the resource S. Liu, X. Xie, Q. Yi, E. Naminse Description An account of the resource The coronavirus disease 2019 (COVID-19) has been identified as the main cause of the outbreak of the respiratory disease in Wuhan, Hubei Province of China in December 2019. Since then, the epidemic has spread rapidly throughout China and many other countries in the world. This study, therefore, examines the spatiotemporal distribution of the confirmed cases of COVID-19 and its effect on human development in China, and suggested social and non-pharmaceutical preventive interventions to help curb the further spread of the disease. The public open data available from January to February 2020, from the National Health Commission of the People’s Republic of China and a medical knowledge sharing website were used, and spatial analysis was performed to visualize the spatial distribution pattern of COVID-19 in China. The results showed among others that COVID-19 had entered a dispersed spatial pattern, resulting in increased pressure to control the spread of the disease. In early March, there was a significant reduction in the existing number of cases, and the number of deaths also decreased. At the provincial level, the spatial distribution of the number of cumulative confirmed cases in China was divided into four patterns: Hubei was the initial core region; the eastern provinces adjacent to Hubei formed the second concentrated pattern; the western provinces adjacent to Hubei and the northeastern and southeastern provinces which were separated from Hubei by one province belonged to the third distribution pattern; while the rest of the provinces in the north, south and west showing sporadic distribution patterns formed the fourth. It has been estimated that about 80% of students’ online learning at all schools were not effective due to lack of access to reliable and uninterrupted internet services especially in the rural areas of China. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource China, Human development, Spatial analysis, Wuhan, spatio-temporal pattern, coronavirus disease (covid-2019) Identifier An unambiguous reference to the resource within a given context DOI: 10.22034/GJESM.2019.06.SI.10 Source A related resource from which the described resource is derived Global Journal of Environmental Science and Management Publisher An entity responsible for making the resource available Global Journal of Environmental Science and Management Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Environmental sciences https://www.socictopen.socict.org/files/original/b4efcaa6670cd40cbf38172ce3b1003a.pdf 5bf9036c3c9726550746264aad3ad747 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 Statistical and Network-Based Analysis of Italian COVID-19 Data: Communities Detection and Temporal Evolution Creator An entity primarily responsible for making the resource Mario Cannataro, Marianna Milano Description An account of the resource The coronavirus disease (COVID-19) outbreak started in Wuhan, China, and it has rapidly spread across the world. Italy is one of the European countries most affected by COVID-19, and it has registered high COVID-19 death rates and the death toll. In this article, we analyzed different Italian COVID-19 data at the regional level for the period 24 February to 29 March 2020. The analysis pipeline includes the following steps. After individuating groups of similar or dissimilar regions with respect to the ten types of available COVID-19 data using statistical test, we built several similarity matrices. Then, we mapped those similarity matrices into networks where nodes represent Italian regions and edges represent similarity relationships (edge length is inversely proportional to similarity). Then, network-based analysis was performed mainly discovering communities of regions that show similar behavior. In particular, network-based analysis was performed by running several community detection algorithms on those networks and by underlying communities of regions that show similar behavior. The network-based analysis of Italian COVID-19 data is able to elegantly show how regions form communities, i.e., how they join and leave them, along time and how community consistency changes along time and with respect to the different available data. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource network analysis, community detection, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17124182 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health Publisher An entity responsible for making the resource available MDPI AG 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 https://www.socictopen.socict.org/files/original/2e1a31b2d950883d6e82ed0fff94f59b.pdf 85992f05557af49f3d431b3db19d8fd3 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 The COVID-19 global challenge and its implications for the environment – what we are learning Creator An entity primarily responsible for making the resource Francesco Aletta, Daniel Osborn 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 DOI: 10.14324/111.444/ucloe.000008 Source A related resource from which the described resource is derived UCL Open Environment Publisher An entity responsible for making the resource available UCL Press Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Environmental sciences, Environmental technology. Sanitary engineering https://www.socictopen.socict.org/files/original/349ed49bc6977924bea29dc603373661.pdf 4fa60fc0a38f0b60fb7e984adb2919be 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 Statistical analysis and characteristics of hospital medical waste under novel Coronavirus outbreak Creator An entity primarily responsible for making the resource H.A. Abu-Qdais, M.A. Al-Ghazo, E.M. Al-Ghazo Description An account of the resource One of thesources of infection as a result of coronavirus disease treatment is the medical waste generated during the health care activities. Since the registration of the first infected case of coronavirus in Jordan the daily number of patients fluctuated from as low as zero to as high as 40 with a recovery ratio and case fatality risk of 39% and 1.7%, respectively. The main objective of the present study is to carry out statistical analysis and assess the generation rates and the composition of the medical waste generated during the treatment of coronavirus pandemic with reference to a major tertiary care hospital in Jordan. Data onthe daily generated waste, number of the admitted patients and on the amounts of consumables like various personal protective equipment, testing kits, and disinfectant used during the treatment of coronavirus disease was obtained. Data was subjected to descriptive statistical analysis to find the average generation rates, 3 days moving average, as well as the frequency distribution of the generated amounts. During 25 days' period, King Abdullah University Hospital has admitted 95 infected patients by coronavirus. The amount of the average rate of the medical waste generated as a result of coronavirus treatment was found to be 14.16 kg/patient/day and 3.95 kg/bed/day, which are more than tenfold higher than the average generation rate during the regular operational days of the hospital. Frequency analysis of the data revealed that the medical waste generation follows log normal distribution with correlation coefficient of 0.89.  The distribution is distorted to the right and flatter than the normal distribution curve as judged by the skewness and kurtosis coefficients, respectively, which indicates deviation from normality. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Jordan, Descriptive Statistics, Medical waste, coronavirus covid-19, average generation rate, king abdullah university hospital (kauh) Identifier An unambiguous reference to the resource within a given context DOI: 10.22034/GJESM.2019.06.SI.03 Source A related resource from which the described resource is derived Global Journal of Environmental Science and Management Publisher An entity responsible for making the resource available Global Journal of Environmental Science and Management Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Environmental sciences https://www.socictopen.socict.org/files/original/bd9eb82647e7bc115ebe7b9ee193cd7b.pdf 1fc2a68fd599ffa83ebe7acbb644a828 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 Impact of COVID-19 large scale restriction on environment and economy in Indonesia Creator An entity primarily responsible for making the resource Y. Lee, R.E. Caraka, R. Kurniawan, R. Herliansyah, P.A. Kaban, B.I. Nasution, P.U. Gio, R.C. Chen, T. Toharudin, B. Pardamean Description An account of the resource COVID-19 has a severe and widespread impact, especially in Indonesia. COVID-19 was first reported in Indonesia on March 03, 2020 then rapidly spread to all 34  provinces by April 09, 2020.  Since then, COVID-19 is declared a state of national disaster and health emergency. This research analyzes the difference of CO, HCHO, NO2, and SO2 density in Jakarta, West Java, Central Java, and South Sulawesi  before and during the pandemic. Also, this study assesses the effect of large scale restrictions on the economic growth during COVID-19 pandemic in Indonesia. In a nutshell, the results on Wilcoxon and Fisher test by significance level α=5% as well as odds ratio showed that there are significant differences of CO density in all regions with highest odds ratio in East Java (OR=9.07), significant differences of HCHO density in DKI Jakarta, East Java, and South Sulawesi. There are significant differences of NO2 density before and during public activities limitation in DKI Jakarta, West Java, East Java, and South Sulawesi. However, the results show that there are no significant differences of SO2 density in all regions. In addition, this research shows that there are significant differences of retail, grocery and pharmacy, and residental mobility  before and during the COVID-19 pandemic in Indonesia.  This research also shows that during the COVID-19 pandemic there are severe economic losses, industry, companies, and real disruptions are severe for all levels of life due to large scale restrictions. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource environment, Indonesia, economy, odds ratio, Wilcoxon, coronavirus disease (covid-19) Identifier An unambiguous reference to the resource within a given context DOI: 10.22034/GJESM.2019.06.SI.07 Source A related resource from which the described resource is derived Global Journal of Environmental Science and Management Publisher An entity responsible for making the resource available Global Journal of Environmental Science and Management Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Environmental sciences https://www.socictopen.socict.org/files/original/1d43764e40cb29beaf7ec7608a00817d.pdf 09b41f3c2c3e8a0e2677baf85f9e2140 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 The system dynamic model of the labor migrant policy in economic growth affected by COVID-19 Creator An entity primarily responsible for making the resource S. Kozlovskyi, R. Lavrov, M. Kuzheliev, D. Bilenko, V. Kozlovskyi, H. Mazur, A. Taranych Description An account of the resource At the end of 2019, the new virus called Coronavirus Disease (Covid-19) spread widely from China all over the world. In March 2020 the World Health Organization declared a new virus outbreak as “a global pandemic”, and recommended social distancing and quarantine. Most countries in Europe have been quarantined. The social aspect of this issue is complicated by the fact that Europe nowadays hosts 82 million international migrants. If migrant workers leave the host country, it reduces the Covid-19 spread. Nevertheless, if migrant workers do not return, it will worsen the situation with the economic crisis. The subject of the study is the instrumental and mathematical aspects of impact simulation of labor migrants’ policy on the economic growth of the host country affected by COVID-19 pandemic. The aim of the work is to develop the system dynamics model for assessing labor migrants’ policy impact on the economic growth of the host country during COVID-19 pandemic. It examined through hypotheses of different scenarios of labor migrants policy impact on the host country economic growth in Covid-19 pandemic. The proposed model combines epidemiological and the economic growth models and relies upon real statistical data. The analysis was carried out in four European countries. The results of the study enabled to state that without migrant workers the gross domestic product may fall to 43% in Italy, 45% in Netherlands, 37% in Spain and 200% in Switzerland in 2020. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Economic growth, Migrant Worker, Gross Domestic Product, system dynamics model, Epidemiological model, covid-19 (coronavirus) pandemic Identifier An unambiguous reference to the resource within a given context DOI: 10.22034/GJESM.2019.06.SI.09 Source A related resource from which the described resource is derived Global Journal of Environmental Science and Management Publisher An entity responsible for making the resource available Global Journal of Environmental Science and Management Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Environmental sciences https://www.socictopen.socict.org/files/original/9aa9a098d2e70ede6bc4e9f532b351a1.pdf 23e30c21eb0d846a1e55dffad8259ee4 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 COVID-19 in the UK- Experience from The Frontline Creator An entity primarily responsible for making the resource Kamal Aryal Description An account of the resource Start of the pandemic At the end of February, I was undertaking a mini fellowship on Trans-anal Total Meso-rectal Excision (TaTME) in Switzerland. The number of cases infected with corona virus disease (COVID-19) and deaths were rising exponentially in Italy. As the virus hit the UK, I was still able to complete ‘Non-Technical Skills for Surgeons (NOTSS) for trainees’ course at the deanery office at Fulbourn, Cambridge on the 13th of March 2020. Effect on personal life - self isolation I had operating list on the 17th of March where an 81-year-old male having laparoscopic right hemicolectomy for cancer was listed. This patient was readmitted a week after being discharged from the hospital with collapse and it had become apparent that he acquired COVID-19 in the surgical ward. Fortunately, he recovered from this and remains well till date. The same day, my son had fever with some cough. I needed to self- isolate according to UK government guideline for two weeks as there was no facility for testing whether my son had contracted coronavirus or not. There were a lot of problems in getting food from the supermarket on the way back home as the shelves were empty, online food order was impossible but somehow, we managed with our friends delivering food for us at our front door. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Frontline, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.22502/jlmc.v8i1.372 Source A related resource from which the described resource is derived Journal of Lumbini Medical College Publisher An entity responsible for making the resource available Lumbini Medical College 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/3594f192e3c9fea69ccbb7f71e7df554.pdf 38150f6cfd4863d2bf6937c7053447a3 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 Influence of Topography on Sustainable Land Management: An Analysis of Socioeconomic and Ecodemographic Conditions of Nepal Creator An entity primarily responsible for making the resource Keshav Bhattarai, Mahmoud Yousef, Alice Greife, S.C. Sravanthi Naraharisetti Description An account of the resource Around 6 to 8 million young Nepali, working abroad as migrant laborers, are contributing remittances of about 28% of the annual gross domestic product of Nepal. However, due to the recent COVID-19 pandemic, Nepal is not only going to lose a significant portion of remittances but will also face the Herculean task of creating employment for the workforce who may return to Nepal. This paper discusses sustainable options for the Nepali government to help create employment for its citizens in Nepal through the revitalization of fallow lands and other potential agricultural areas, which are below a 15° slope. The land-use and land-cover data for the 1980s, 1990s, 2000s, and 2010s are derived from the classification of satellite images. These classified and resampled 30 m × 30 m images along with the 30 × 30 m elevation data are brought to the Kibana Platform within the Amazon Web Service (AWS) to analyze the status of land-use and -cover conditions for the 1980 to 2010 period within nine different slope classes at an interval of 5° slope. Our findings suggest there have been massive conversions of forested areas for agricultural land at lower slope areas between 1980 and 2000, but the trend began to reverse from 2000 to 2010 as trees started coming back to the fallow agricultural lands. This happened mainly because, during the countrywide Maoist insurgency period (1996–2006), many youth first took shelter in various urban centers away from their natal homes and then emigrated to foreign countries for remittance purposes. As a result, many farmlands became fallow and barren, and agricultural productivity decreased. Consequently, Nepal, an exporter of rice and pulses until the late 1980s, started importing food grain each year. The major goals of this research are to explore: (a) if Nepal can self-sustain in agricultural products by utilizing potential agricultural lands below a 15° slope in various geographic regions; (b) the means for productively engaging the youth returning to the country; and (c) methods of reinvigorating the ecosystem services of Nepal to support sustainable development. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Political Parties, Nepal, economy, mountains, insurgency, Tarai Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/agriculture10060224 Source A related resource from which the described resource is derived Agriculture Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Agriculture (General) https://www.socictopen.socict.org/files/original/95e6cfefcff43c9b03d8eb003875515a.pdf cfc12ce2c0d1e29412773737dddaa9d3 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 Azole-Resistant COVID-19-Associated Pulmonary Aspergillosis in an Immunocompetent Host: A Case Report Creator An entity primarily responsible for making the resource Jacques F. Meis, Jochem B. Buil, Eelco F. J. Meijer, Anton S. M. Dofferhoff, Oscar Hoiting Description An account of the resource COVID-19-associated pulmonary aspergillosis (CAPA) is a recently described disease entity affecting patients with severe pulmonary abnormalities treated in intensive care units. Delays in diagnosis contribute to a delayed start of antifungal therapy. In addition, the emergence of resistance to triazole antifungal agents puts emphasis on early surveillance for azole-resistant Aspergillus species. We present a patient with putative CAPA due to Aspergillus fumigatus with identification of a triazole-resistant isolate during therapy. We underline the challenges faced in the management of these cases, the importance of early diagnosis and need for surveillance given the emergence of triazole resistance. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource co-infection, Pulmonary aspergillosis, ICU, <i>Aspergillus fumigatus</i>, SARS-CoV-2, azole-resistant <i>Aspergillus</i> Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/jof6020079 Source A related resource from which the described resource is derived Journal of Fungi Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General)