1999 10 20655 https://www.socictopen.socict.org/files/original/368d052ae52f87a6db0d1e7f93984507.pdf 38a435ce749c5cba631e1da91812f048 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 An Extensive Search Trends-Based Analysis of Public Attention on Social Media in the Early Outbreak of COVID-19 in China Creator An entity primarily responsible for making the resource Xie T, Tan T, Li J Description An account of the resource Tiantian Xie,1 Tao Tan,2 Jun Li3,4 1Centre De Recherche Sur Les Liens Sociaux (CERLIS), Paris Descartes University, Paris, France; 2Institute of New Rural Development, South China Agricultural University, Guangzhou, People’s Republic of China; 3School of International Relations, Sun Yat-Sen University, Guangzhou, People’s Republic of China; 4School of Management, Curtin University, Perth, WA, AustraliaCorrespondence: Tiantian Xie Tel +33-651-837-168Email tiantian.xie@etu.parisdescartes.frBackground: A novel coronavirus (COVID-19) caused pneumonia broke out at the end of 2019 in Wuhan, China. Many cases were subsequently reported in other cities, which has aroused strong reverberations on the Internet and social media around the world.Objective: The aim of this study was to investigate the reaction of global Internet users to the outbreak of COVID-19 by evaluating the possibility of using Internet monitoring as an instrument in handling communicable diseases and responding to public health emergencies.Methods: The disease-related data were retrieved from China’s National Health Commission (CNHC) and World Health Organization (WHO) from January 10 to February 29, 2020. Daily Google Trends (GT) and daily Baidu Attention Index (BAI) for the keyword “Coronavirus” were collected from their official websites. Rumors which occurred in the course of this outbreak were mined from Chinese National Platform to Refute Rumors (CNPRR) and Tencent Platform to Refute Rumors (TPRR). Kendall’s Tau-B rank test was applied to check the bivariate correlation among the two indexes mentioned above, epidemic trends, and rumors.Results: After the outbreak of COVID-19, both daily BAI and daily GT increased rapidly and remained at a high level, this process lasted about 10 days. When major events occurred, daily BAI, daily GT, and the number of rumors simultaneously reached new peaks. Our study indicates that these indexes and rumors are statistically related to disease-related indicators. Information symmetry was also found to help significantly eliminate the false news and to prevent rumors from spreading across social media through the epidemic outbreak.Conclusion: Compared to traditional methods, Internet monitoring could be particularly efficient and economical in the prevention and control of epidemic and rumors by reflecting public attention and attitude, especially in the early period of an outbreak.Keywords: public attention, COVID-19, internet monitoring, search index Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, public attention, internet monitoring, search index 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 Public aspects of medicine https://www.socictopen.socict.org/files/original/40901e8025565cadebfff4c71b74a85d.pdf 17f5b1ab2d8982e995fb040f2c8b04c2 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 Phylogeography of MERS-CoV in Hospital Outbreak-Associated Cases Compared to Sporadic Cases in Saudi Arabia Creator An entity primarily responsible for making the resource Xin Chen, Abrar Ahmad Chughtai, Chandini Raina MacIntyre, Matthew Scotch, Sacha Stelzer-Braid, Dillon Charles Adam Description An account of the resource This study compared the phylogeography of MERS-CoV between hospital outbreak-associated cases and sporadic cases in Saudi Arabia. We collected complete genome sequences from human samples in Saudi Arabia and data on the multiple risk factors of human MERS-CoV in Saudi Arabia reported from 2012 to 2018. By matching each sequence to human cases, we identified isolates as hospital outbreak-associated cases or sporadic cases. We used Bayesian phylogenetic methods including temporal, discrete trait analysis and phylogeography to uncover transmission routes of MERS-CoV isolates between hospital outbreaks and sporadic cases. Of the 120 sequences collected between 19 June 2012 and 23 January 2017, there were 64 isolates from hospital outbreak-associated cases and 56 from sporadic cases. Overall, MERS-CoV is fast evolving at 7.43 × 10−4 substitutions per site per year. Isolates from hospital outbreaks showed unusually fast evolutionary speed in a shorter time-frame than sporadic cases. Multiple introductions of different MERS-CoV strains occurred in three separate hospital outbreaks. MERS-CoV appears to be mutating in humans. The impact of mutations on viruses transmissibility in humans is unknown. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Epidemiology, Phylogeography, phylogenetics, nosocomial, MERS-CoV, hospital outbreaks Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/v12050540 Source A related resource from which the described resource is derived Viruses 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 Microbiology https://www.socictopen.socict.org/files/original/d141bd0e45546a30d4b26daed43332e1.pdf 1fa5d0a51b60c912fc9ab9a6ba5fd328 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 CircMarker: a fast and accurate algorithm for circular RNA detection Creator An entity primarily responsible for making the resource Xin Li, Chong Chu, Jingwen Pei, Ion Mandoiu, Yu-Feng Wu Description An account of the resource Abstract Background While RNA is often created from linear splicing during transcription, recent studies have found that non-canonical splicing sometimes occurs. Non-canonical splicing joins 3’ and 5’ and forms the so-called circular RNA. It is now believed that circular RNA plays important biological roles such as affecting susceptibility of some diseases. During the past several years, multiple experimental methods have been developed to enrich circular RNA while degrade linear RNA. Although several useful software tools for circular RNA detection have been developed as well, these tools are based on reads mapping may miss many circular RNA. Also, existing tools are slow for large data due to their dependence on reads mapping. Method In this paper, we present a new computational approach, named CircMarker, based on k-mers rather than reads mapping for circular RNA detection. CircMarker takes advantage of transcriptome annotation files to create the k-mer table for circular RNA detection. Results Empirical results show that CircMarker outperforms existing tools in circular RNA detection on accuracy and efficiency in many simulated and real datasets. Conclusions We develop a new circular RNA detection method called CircMarker based on k-mer analysis. Our results on both simulation data and real data demonstrate that CircMarker runs much faster and can find more circular RNA with higher consensus-based sensitivity and high accuracy ratio compared with existing tools. Date A point or period of time associated with an event in the lifecycle of the resource 2018 Subject The topic of the resource circular RNA, high-throughput sequencing, Genomics, RNA-Seq Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12864-018-4926-0 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/d096a7e728ecc14ebcc46b5ac8d166de.pdf 851971b6e7233062914f14ff0c295404 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 Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment Creator An entity primarily responsible for making the resource Xin Li, Harish Garg, Meng Qi, Zao-li Yang Description An account of the resource With the rapid outbreak of COVID-19, most people are facing antivirus mask shortages. Therefore, it is necessary to reasonably select antivirus masks and optimize the use of them for everyone. However, the uncertainty of the effects of COVID-19 and limits of human cognition add to the difficulty for decision makers to perfectly realize the purpose. To maximize the utility of the antivirus mask, we proposed a decision support algorithm based on the novel concept of the spherical normal fuzzy (SpNoF) set. In it, firstly, we analyzed the new score and accuracy function, improved operational rules, and their properties. Then, in line with these operations, we developed the SpNoF Bonferroni mean operator and the weighted Bonferroni mean operator, some properties of which are also examined. Furthermore, we established a multi-criteria decision-making method, based on the proposed operators, with SpNoF information. Finally, a numerical example on antivirus mask selection over the COVID-19 pandemic was given to verify the practicability of the proposed method, which the sensitive and comparative analysis was based on and was conducted to demonstrate the availability and superiority of our method. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource multicriteria decision making, COVID-19, Bonferroni mean operator, antivirus mask selection, spherical normal fuzzy set Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17103407 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/c868abd3de9dfdb381102985f0fa8f15.pdf bb4c918189b6a308d3fe616fcd808b7a 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 Preliminary Recommendations for Lung Surgery during 2019 Novel Coronavirus Disease (COVID-19) Epidemic Period Creator An entity primarily responsible for making the resource Xin Li, Minghui LIU, Qingchun Zhao, Renwang LIU, Hongbing Zhang, Ming Dong, Song XU, Honglin Zhao, Sen WEI, Zuoqing Song, Gang Chen, Jun Chen Description An account of the resource In December 2019, China diagnosed the first patient with 2019 novel coronavirus disease (COVID-19), and the following development of the epidemic had a huge impact on China and the whole world. For patients with lung occupying lesions, the whole process of diagnosis and treatment can not be carried out as usual due to the epidemic. For thoracic surgeons, the timing of surgical intervention should be very carefully considered. All thoracic surgeons in China should work together to develop the proper procedures for the diagnosis and treatment in this special situation, and continuously update the recommendations based on epidemic changes and further understanding of COVID-19. Here, we only offer some preliminary suggestions based on our own knowledge for further reference and discussion. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource 2019 novel coronavirus disease (covid-19), lung occupying lesions, surgical treatment Identifier An unambiguous reference to the resource within a given context DOI: 10.3779/j.issn.1009-3419.2020.03.01 Source A related resource from which the described resource is derived Chinese Journal of Lung Cancer Publisher An entity responsible for making the resource available Chinese Anti-Cancer Association; Chinese Antituberculosis 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 Neoplasms. Tumors. Oncology. Including cancer and carcinogens Language A language of the resource ZH https://www.socictopen.socict.org/files/original/bb5808f24a988194f7e27323e8752489.pdf bb4c918189b6a308d3fe616fcd808b7a 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 Preliminary Recommendations for Lung Surgery during 2019 Novel Coronavirus Disease (COVID-19) Epidemic Period Creator An entity primarily responsible for making the resource Xin Li, Minghui LIU, Qingchun Zhao, Renwang LIU, Hongbing Zhang, Ming Dong, Song XU, Honglin Zhao, Sen WEI, Zuoqing Song, Gang Chen, Jun Chen Description An account of the resource In December 2019, China diagnosed the first patient with 2019 novel coronavirus disease (COVID-19), and the following development of the epidemic had a huge impact on China and the whole world. For patients with lung occupying lesions, the whole process of diagnosis and treatment can not be carried out as usual due to the epidemic. For thoracic surgeons, the timing of surgical intervention should be very carefully considered. All thoracic surgeons in China should work together to develop the proper procedures for the diagnosis and treatment in this special situation, and continuously update the recommendations based on epidemic changes and further understanding of COVID-19. Here, we only offer some preliminary suggestions based on our own knowledge for further reference and discussion. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource 2019 novel coronavirus disease (covid-19), lung occupying lesions, surgical treatment Identifier An unambiguous reference to the resource within a given context DOI: 10.3779/j.issn.1009-3419.2020.03.01 Source A related resource from which the described resource is derived Chinese Journal of Lung Cancer Publisher An entity responsible for making the resource available Chinese Anti-Cancer Association; Chinese Antituberculosis 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 Neoplasms. Tumors. Oncology. Including cancer and carcinogens Language A language of the resource ZH https://www.socictopen.socict.org/files/original/6c4b03c308675b3cb4e95b0f061b6b45.pdf bb4c918189b6a308d3fe616fcd808b7a 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 Preliminary Recommendations for Lung Surgery during 2019 Novel Coronavirus Disease (COVID-19) Epidemic Period Creator An entity primarily responsible for making the resource Xin Li, Minghui LIU, Qingchun Zhao, Renwang LIU, Hongbing Zhang, Ming Dong, Song XU, Honglin Zhao, Sen WEI, Zuoqing Song, Gang Chen, Jun Chen Description An account of the resource In December 2019, China diagnosed the first patient with 2019 novel coronavirus disease (COVID-19), and the following development of the epidemic had a huge impact on China and the whole world. For patients with lung occupying lesions, the whole process of diagnosis and treatment can not be carried out as usual due to the epidemic. For thoracic surgeons, the timing of surgical intervention should be very carefully considered. All thoracic surgeons in China should work together to develop the proper procedures for the diagnosis and treatment in this special situation, and continuously update the recommendations based on epidemic changes and further understanding of COVID-19. Here, we only offer some preliminary suggestions based on our own knowledge for further reference and discussion. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource 2019 novel coronavirus disease (covid-19), lung occupying lesions, surgical treatment Identifier An unambiguous reference to the resource within a given context DOI: 10.3779/j.issn.1009-3419.2020.03.01 Source A related resource from which the described resource is derived Chinese Journal of Lung Cancer Publisher An entity responsible for making the resource available Chinese Anti-Cancer Association; Chinese Antituberculosis 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 Neoplasms. Tumors. Oncology. Including cancer and carcinogens Language A language of the resource ZH https://www.socictopen.socict.org/files/original/1579cf229f40e224589fc4a50e590503.pdf bb4c918189b6a308d3fe616fcd808b7a 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 Preliminary Recommendations for Lung Surgery during 2019 Novel Coronavirus Disease (COVID-19) Epidemic Period Creator An entity primarily responsible for making the resource Xin Li, Minghui LIU, Qingchun Zhao, Renwang LIU, Hongbing Zhang, Ming Dong, Song XU, Honglin Zhao, Sen WEI, Zuoqing Song, Gang Chen, Jun Chen Description An account of the resource In December 2019, China diagnosed the first patient with 2019 novel coronavirus disease (COVID-19), and the following development of the epidemic had a huge impact on China and the whole world. For patients with lung occupying lesions, the whole process of diagnosis and treatment can not be carried out as usual due to the epidemic. For thoracic surgeons, the timing of surgical intervention should be very carefully considered. All thoracic surgeons in China should work together to develop the proper procedures for the diagnosis and treatment in this special situation, and continuously update the recommendations based on epidemic changes and further understanding of COVID-19. Here, we only offer some preliminary suggestions based on our own knowledge for further reference and discussion. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource 2019 novel coronavirus disease (covid-19), lung occupying lesions, surgical treatment Identifier An unambiguous reference to the resource within a given context DOI: 10.3779/j.issn.1009-3419.2020.03.01 Source A related resource from which the described resource is derived Chinese Journal of Lung Cancer Publisher An entity responsible for making the resource available Chinese Anti-Cancer Association; Chinese Antituberculosis 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 Neoplasms. Tumors. Oncology. Including cancer and carcinogens Language A language of the resource ZH https://www.socictopen.socict.org/files/original/34b4d04660d29638055f322c77e21cd1.pdf bb4c918189b6a308d3fe616fcd808b7a 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 Preliminary Recommendations for Lung Surgery during 2019 Novel Coronavirus Disease (COVID-19) Epidemic Period Creator An entity primarily responsible for making the resource Xin Li, Minghui LIU, Qingchun Zhao, Renwang LIU, Hongbing Zhang, Ming Dong, Song XU, Honglin Zhao, Sen WEI, Zuoqing Song, Gang Chen, Jun Chen Description An account of the resource In December 2019, China diagnosed the first patient with 2019 novel coronavirus disease (COVID-19), and the following development of the epidemic had a huge impact on China and the whole world. For patients with lung occupying lesions, the whole process of diagnosis and treatment can not be carried out as usual due to the epidemic. For thoracic surgeons, the timing of surgical intervention should be very carefully considered. All thoracic surgeons in China should work together to develop the proper procedures for the diagnosis and treatment in this special situation, and continuously update the recommendations based on epidemic changes and further understanding of COVID-19. Here, we only offer some preliminary suggestions based on our own knowledge for further reference and discussion. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource 2019 novel coronavirus disease (covid-19), lung occupying lesions, surgical treatment Identifier An unambiguous reference to the resource within a given context DOI: 10.3779/j.issn.1009-3419.2020.03.01 Source A related resource from which the described resource is derived Chinese Journal of Lung Cancer Publisher An entity responsible for making the resource available Chinese Anti-Cancer Association; Chinese Antituberculosis 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 Neoplasms. Tumors. Oncology. Including cancer and carcinogens Language A language of the resource ZH https://www.socictopen.socict.org/files/original/1dcf4e1421275b5c0a104f64a3662c1c.pdf 625d89a619b4f004179453284ab46681 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 Knowledge System Analysis on Emergency Management of Public Health Emergencies Creator An entity primarily responsible for making the resource Xin Miao, Yanhong Tang, Guoming Du, Rui Yang, Ziwei Duan, Mengjin Du Description An account of the resource The Coronavirus Disease 2019 (COVID-19) infectious pneumonia pandemic highlights the importance of emergency management of public health emergencies (EMPHE). This paper addresses the challenge of building a knowledge system for EMPHE research that may contribute to understand the spatial and temporal characteristics of knowledge distribution, research status, cutting-edge research and development trends, and helps to identify promising research topics and guide research and practice of EMPHE. Based on the Web of Science, this paper retrieves 1467 articles about EMPHE published from 2010 to date. Then, based on high-frequency keywords, we use CiteSpace to analyze their knowledge co-occurrence network, clustering network and knowledge evolution. Furthermore, we summarize the features and gaps in EMPHE research, providing references for future research directions. Based on the above analysis, this work constructs a knowledge system about EMPHE research, providing a comprehensive visual summary of the existing research in the field of EMPHE, with the aim to guide future research and practice. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource public health emergencies, emergency management, citespace, knowledge system Identifier An unambiguous reference to the resource within a given context 10.3390/su12114410 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 Environmental effects of industries and plants, Renewable energy sources, Environmental sciences