1042 10 20655 https://www.socictopen.socict.org/files/original/f78d917eb4cb671da430f84530730295.pdf dafd1f8e5b8a71fa049a41790d52d81e 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 Identifications of conserved 7-mers in 3'-UTRs and microRNAs in <it>Drosophila</it> Creator An entity primarily responsible for making the resource Zhang Xuegong, Fu Hu, Gu Jin, Li Yanda Description An account of the resource Abstract Background MicroRNAs (miRNAs) are a class of endogenous regulatory small RNAs which play an important role in posttranscriptional regulations by targeting mRNAs for cleavage or translational repression. The base-pairing between the 5'-end of miRNA and the target mRNA 3'-UTRs is essential for the miRNA:mRNA recognition. Recent studies show that many seed matches in 3'-UTRs, which are fully complementary to miRNA 5'-ends, are highly conserved. Based on these features, a two-stage strategy can be implemented to achieve the de novo identification of miRNAs by requiring the complete base-pairing between the 5'-end of miRNA candidates and the potential seed matches in 3'-UTRs. Results We presented a new method, which combined multiple pairwise conservation information, to identify the frequently-occurred and conserved 7-mers in 3'-UTRs. A pairwise conservation score (PCS) was introduced to describe the conservation of all 7-mers in 3'-UTRs between any two Drosophila species. Using PCSs computed from 6 pairs of flies, we developed a support vector machine (SVM) classifier ensemble, named Cons-SVM and identified 689 conserved 7-mers including 63 seed matches covering 32 out of 38 known miRNA families in the reference dataset. In the second stage, we searched for 90 nt conserved stem-loop regions containing the complementary sequences to the identified 7-mers and used the previously published miRNA prediction software to analyze these stem-loops. We predicted 47 miRNA candidates in the genome-wide screen. Conclusion Cons-SVM takes advantage of the independent evolutionary information from the 6 pairs of flies and shows high sensitivity in identifying seed matches in 3'-UTRs. Combining the multiple pairwise conservation information by the machine learning approach, we finally identified 47 miRNA candidates in D. melanogaster. Date A point or period of time associated with an event in the lifecycle of the resource 2007 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/1471-2105-8-432 Source A related resource from which the described resource is derived BMC Bioinformatics 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 Biology (General), Computer applications to medicine. Medical informatics Language A language of the resource EN https://www.socictopen.socict.org/files/original/cdde86a4ff960a3a4da8d2c19d9ba16b.pdf a2aea30131fb912cd3bea502a93b103a 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 Identifikasi Praktik dan Hambatan Guru dalam Asesmen Kognitif Matematika di Masa Pandemi COVID-19 Creator An entity primarily responsible for making the resource Hajra Yansa, Heri Retnawati Description An account of the resource This study aims to identify teachers' practices and barriers in carrying out a cognitive mathematics assessment during the COVID-19 pandemic. The type of research used is an online survey using a google form, which is spread over ten days via WhatsApp. This survey uses a qualitative approach. The research instrument was constructed from a pocketbook of periodic diagnostic assessment. A total of 78 primary to secondary school teachers from various regions in Indonesia participated. Data analysis was done descriptively, while data from open questions were analyzed using Atlasti 9. The study results present the practice of cognitive assessment regularly carried out by online-based mathematics teachers in high-grade elementary schools to secondary schools. In contrast, low-grade elementary schools are conducted by home visit. In practice, teachers experience several obstacles: the validity of the answers, limited time in the assessment, barriers from students themselves, and facilities. These obstacles cause the assessment results not to describe the cognitive level in-depth or provide valid and reliable information regarding students' achievement. 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, cognitive, Mathematics Education, Mathematics assessment 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 Mathematics https://www.socictopen.socict.org/files/original/7f66e23efeffcb6d3d51b3e768b2d1f5.pdf 479d29f32c2457016656d7bf23f3a521 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 Identify the Risk Factors of COVID-19-Related Acute Kidney Injury: A Single-Center, Retrospective Cohort Study Creator An entity primarily responsible for making the resource Yunpeng Zhu, Jing Wang, Zhixian Wang, Haichao Li, Xiaoning Yuan, Xiaoning Wang, Yuxi Wang, Jinqian Hu, Chunxiang Feng, Chang Liu, Chang Liu, Shiliang Liu, Kai Yu, Xing Li, Xiaoyong Zeng Description An account of the resource Background: The kidney is a target organ that could be infected by SARS-CoV-2, and acute kidney injury (AKI) was associated with a higher risk of COVID-19 patients' in-hospital death. However, no published works discussed about the risk factors of COVID-19 related AKI.Methods: We conducted a retrospective cohort study, recruiting COVID-19 inpatients from the Sino-French branch of Tongji Hospital. Demographic, clinical, treatment, and laboratory data were collected and compared. We used univariable and multivariable logistic regression methods to identify the risk factors of COVID-19-related AKI.Results: Of the 116 patients in our study, 12 (10.3%) were recognized as AKI, including 5 (4.3%) in-hospital AKI. Multivariable regression showed increasing odds of COVID-19-related AKI associated with COVID-19 clinical classification (OR = 8.155, 95% CI = 1.848–35.983, ref = non-critical, p = 0.06), procalcitonin more than 0.1 ng/mL (OR = 4.822, 95% CI = 1.095–21.228, p = 0.037), and estimated glomerular filtration rate (eGFR) &lt;60 mL/min/1.73 m2 (OR = 13.451, 95% CI = 1.617–111.891, p = 0.016).Conclusions: COVID-19-related AKI was likely to be related to multiorgan failure rather than the kidney tropism of SARS-CoV-2. The potential risk factors of COVID-19 clinical classification, procalcitonin more than 0.1 ng/mL, and eGFR &lt;60 mL/min/1.73 m2 could help clinicians to identify patients with kidney injury at an early stage. 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, acute kidney injury, risk factor, procalcitonin, glomerular filtration rate, Retrospective cohort study Identifier An unambiguous reference to the resource within a given context 10.3389/fmed.2020.00436 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 Medicine (General) https://www.socictopen.socict.org/files/original/e070c6ee41d15343fe86368f013a82fa.pdf 1b80c68809a3c43f67c2312e6d57df0e 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 Identify-Isolate-Inform: A Modified Tool for Initial Detection and Management of Middle East Respiratory Syndrome Patients in the Emergency Department Creator An entity primarily responsible for making the resource Kristi L. Koenig Description An account of the resource Middle East respiratory syndrome (MERS) is a novel infectious disease caused by a coronavirus(MERS-CoV) first reported in Saudi Arabia in September 2012. MERS later spread to other countriesin the Arabian Peninsula, followed by an outbreak in South Korea in 2015. At least 26 countrieshave reported MERS cases, and these numbers may increase over time. Due to internationaltravel opportunities, all countries are at risk of imported cases of MERS, even if outbreaks do notspread globally. Therefore, it is essential for emergency department (ED) personnel to be able torapidly assess MERS risk and take immediate actions if indicated. The Identify-Isolate-Inform (3I)tool, originally conceived for initial detection and management of Ebola virus disease patients in theED and later adjusted for measles, can be adapted for real-time use for any emerging infectiousdisease. This paper reports a modification of the 3I tool for use in initial detection and managementof patients under investigation for MERS. Following an assessment of epidemiologic risk factors,including travel to countries with current MERS transmission and contact with patients with confirmedMERS within 14 days, patients are risk stratified by type of exposure coupled with symptoms of feverand respiratory illness. If criteria are met, patients must be immediately placed into airborne infectionisolation (or a private room until this type of isolation is available) and the emergency practitionermust alert the hospital infection prevention and control team and the local public health department.The 3I tool will facilitate rapid categorization and triggering of appropriate time-sensitive actions forpatients presenting to the ED at risk for MERS. Date A point or period of time associated with an event in the lifecycle of the resource 2015 Identifier An unambiguous reference to the resource within a given context DOI: 10.5811/westjem.2015.7.27915 Source A related resource from which the described resource is derived Western Journal of Emergency Medicine Publisher An entity responsible for making the resource available eScholarship Publishing, University of California 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, Medical emergencies. Critical care. Intensive care. First aid Language A language of the resource EN https://www.socictopen.socict.org/files/original/149fab5feaa426bd79f57464db629a02.pdf 2b60cb7c69f08a7c6e08a18bc0455343 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 Identify-Isolate-Inform: A Tool for Initial Detection and Management of Zika Virus Patients in the Emergency Department Creator An entity primarily responsible for making the resource Kristi L. Koenig, Abdulmajeed Almadhyan, Michael J. Burns Description An account of the resource First isolated in 1947 from a monkey in the Zika forest in Uganda, and from mosquitoes in the same forest the following year, Zika virus has gained international attention due to concerns for infection in pregnant women potentially causing fetal microcephaly. More than one million people have been infected since the appearance of the virus in Brazil in 2015. Approximately 80% of infected patients are asymptomatic. An association with microcephaly and other birth defects as well as Guillain-Barre Syndrome has led to a World Health Organization declaration of Zika virus as a Public Health Emergency of International Concern in February 2016. Zika virus is a vector-borne disease transmitted primarily by the Aedes aegypti mosquito. Male to female sexual transmission has been reported and there is potential for transmission via blood transfusions. After an incubation period of 2-7 days, symptomatic patients develop rapid onset fever, maculopapular rash, arthralgia, and conjunctivitis, often associated with headache and myalgias. Emergency department (ED) personnel must be prepared to address concerns from patients presenting with symptoms consistent with acute Zika virus infection, especially those who are pregnant or planning travel to Zika-endemic regions, as well as those women planning to become pregnant and their partners. The identify-isolate-inform (3I) tool, originally conceived for initial detection and management of Ebola virus disease patients in the ED, and later adjusted for measles and Middle East Respiratory Syndrome, can be adapted for real-time use for any emerging infectious disease. This paper reports a modification of the 3I tool for initial detection and management of patients under investigation for Zika virus. Following an assessment of epidemiologic risk, including travel to countries with mosquitoes that transmit Zika virus, patients are further investigated if clinically indicated. If after a rapid evaluation, Zika or other arthropod-borne diseases are the only concern, isolation (contact, droplet, airborne) is unnecessary. Zika is a reportable disease and thus appropriate health authorities must be notified. The modified 3I tool will facilitate rapid analysis and triggering of appropriate actions for patients presenting to the ED at risk for Zika. Date A point or period of time associated with an event in the lifecycle of the resource 2016 Subject The topic of the resource Zika virus Identifier An unambiguous reference to the resource within a given context DOI: 10.5811/westjem.2016.3.30188 Source A related resource from which the described resource is derived Western Journal of Emergency Medicine Publisher An entity responsible for making the resource available eScholarship Publishing, University of California 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, Medical emergencies. Critical care. Intensive care. First aid Language A language of the resource EN https://www.socictopen.socict.org/files/original/c81e09a1a91d605f08e1876a0ab565b4.pdf 27be6d7d129d8efaec1ec148d930ac42 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 Identifying and Interrupting Superspreading Events—Implications for Control of Severe Acute Respiratory Syndrome Coronavirus 2 Creator An entity primarily responsible for making the resource Thomas R. Frieden, Christopher T. Lee Description An account of the resource It appears inevitable that severe acute respiratory syndrome coronavirus 2 will continue to spread. Although we still have limited information on the epidemiology of this virus, there have been multiple reports of superspreading events (SSEs), which are associated with both explosive growth early in an outbreak and sustained transmission in later stages. Although SSEs appear to be difficult to predict and therefore difficult to prevent, core public health actions can prevent and reduce the number and impact of SSEs. To prevent and control of SSEs, speed is essential. Prevention and mitigation of SSEs depends, first and foremost, on quickly recognizing and understanding these events, particularly within healthcare settings. Better understanding transmission dynamics associated with SSEs, identifying and mitigating high-risk settings, strict adherence to healthcare infection prevention and control measures, and timely implementation of nonpharmaceutical interventions can help prevent and control severe acute respiratory syndrome coronavirus 2, as well as future infectious disease outbreaks. 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, Viruses, SARS-CoV-2, severe acute respiratory syndrome coronavirus 2, superspreading events, SSEs Identifier An unambiguous reference to the resource within a given context 10.3201/eid2606.200495 Source A related resource from which the described resource is derived Emerging Infectious Diseases Publisher An entity responsible for making the resource available Centers for Disease Control and Prevention 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, Infectious and parasitic diseases https://www.socictopen.socict.org/files/original/518c9abad5faa86c77abd56fa81157e3.pdf c29d0cb9650d6cf93468e55ec9281652 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 Identifying Facemask-Wearing Condition Using Image Super-Resolution with Classification Network to Prevent COVID-19 Creator An entity primarily responsible for making the resource Bosheng Qin, Dongxiao Li Description An account of the resource The rapid worldwide spread of Coronavirus Disease 2019 (COVID-19) has resulted in a global pandemic. Correct facemask wearing is valuable for infectious disease control, but the effectiveness of facemasks has been diminished, mostly due to improper wearing. However, there have not been any published reports on the automatic identification of facemask-wearing conditions. In this study, we develop a new facemask-wearing condition identification method by combining image super-resolution and classification networks (SRCNet), which quantifies a three-category classification problem based on unconstrained 2D facial images. The proposed algorithm contains four main steps: Image pre-processing, facial detection and cropping, image super-resolution, and facemask-wearing condition identification. Our method was trained and evaluated on the public dataset Medical Masks Dataset containing 3835 images with 671 images of no facemask-wearing, 134 images of incorrect facemask-wearing, and 3030 images of correct facemask-wearing. Finally, the proposed SRCNet achieved 98.70% accuracy and outperformed traditional end-to-end image classification methods using deep learning without image super-resolution by over 1.5% in kappa. Our findings indicate that the proposed SRCNet can achieve high-accuracy identification of facemask-wearing conditions, thus having potential applications in epidemic prevention involving COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource deep learning, convolutional neural network, Facial recognition, image super-resolution, facemask-wearing condition, SRCNet Identifier An unambiguous reference to the resource within a given context 10.3390/s20185236 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 Chemical technology https://www.socictopen.socict.org/files/original/24f361de1e4b652c2ad0f89fe19c42d4.pdf e1b3d9d2e379cf7c61b396a57a157092 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 Identifying Group-Specific Sequences for Microbial Communities Using Long k-mer Sequence Signatures Creator An entity primarily responsible for making the resource Ying Wang, Lei Fu, Jie Ren, Zhaoxia Yu, Ting Chen, Fengzhu Sun Description An account of the resource Comparing metagenomic samples is crucial for understanding microbial communities. For different groups of microbial communities, such as human gut metagenomic samples from patients with a certain disease and healthy controls, identifying group-specific sequences offers essential information for potential biomarker discovery. A sequence that is present, or rich, in one group, but absent, or scarce, in another group is considered “group-specific” in our study. Our main purpose is to discover group-specific sequence regions between control and case groups as disease-associated markers. We developed a long k-mer (k ≥ 30 bps)-based computational pipeline to detect group-specific sequences at strain resolution free from reference sequences, sequence alignments, and metagenome-wide de novo assembly. We called our method MetaGO: Group-specific oligonucleotide analysis for metagenomic samples. An open-source pipeline on Apache Spark was developed with parallel computing. We applied MetaGO to one simulated and three real metagenomic datasets to evaluate the discriminative capability of identified group-specific markers. In the simulated dataset, 99.11% of group-specific logical 40-mers covered 98.89% disease-specific regions from the disease-associated strain. In addition, 97.90% of group-specific numerical 40-mers covered 99.61 and 96.39% of differentially abundant genome and regions between two groups, respectively. For a large-scale metagenomic liver cirrhosis (LC)-associated dataset, we identified 37,647 group-specific 40-mer features. Any one of the features can predict disease status of the training samples with the average of sensitivity and specificity higher than 0.8. The random forests classification using the top 10 group-specific features yielded a higher AUC (from ∼0.8 to ∼0.9) than that of previous studies. All group-specific 40-mers were present in LC patients, but not healthy controls. All the assembled 11 LC-specific sequences can be mapped to two strains of Veillonella parvula: UTDB1-3 and DSM2008. The experiments on the other two real datasets related to Inflammatory Bowel Disease and Type 2 Diabetes in Women consistently demonstrated that MetaGO achieved better prediction accuracy with fewer features compared to previous studies. The experiments showed that MetaGO is a powerful tool for identifying group-specific k-mers, which would be clinically applicable for disease prediction. MetaGO is available at https://github.com/VVsmileyx/MetaGO. Date A point or period of time associated with an event in the lifecycle of the resource 2018 Subject The topic of the resource long k-mer, classification, group-specific sequence, metagenomics, microbial community, Disease prediction Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fmicb.2018.00872 Source A related resource from which the described resource is derived Frontiers in Microbiology Publisher An entity responsible for making the resource available Frontiers Media S.A. 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 Language A language of the resource EN https://www.socictopen.socict.org/files/original/2dcf0c59a0eea2bd8e7e5cf34285eeeb.pdf dca3011100f59f0372a339c21722038e 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 Identifying Locations with Possible Undetected Imported Severe Acute Respiratory Syndrome Coronavirus 2 Cases by Using Importation Predictions. Creator An entity primarily responsible for making the resource Pablo Martinez de Salazar, Rene Niehus, Marc Lipsitch, Aimee Taylor, Caroline O'Flaherty Buckee Description An account of the resource Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection exported from mainland China could lead to self-sustained outbreaks in other countries. By February 2020, several countries were reporting imported SARS-CoV-2 cases. To contain the virus, early detection of imported SARS-CoV-2 cases is critical. We used air travel volume estimates from Wuhan, China, to international destinations and a generalized linear regression model to identify locations that could have undetected imported cases. Our model can be adjusted to account for exportation of cases from other locations as the virus spreads and more information on importations and transmission becomes available. Early detection and appropriate control measures can reduce the risk for transmission in all locations. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Outbreak, Pneumonia, Respiratory Infections, Viruses, Zoonoses, coronavirus, Travelers' health, SARS-CoV-2, COVID-19, Severe Acute Respiratory Syndrome Coronavirus 2, 2019 novel coronavirus disease Identifier An unambiguous reference to the resource within a given context DOI: 10.3201/eid2607.200250 Source A related resource from which the described resource is derived Emerging Infectious Diseases Publisher An entity responsible for making the resource available Centers for Disease Control and Prevention https://www.socictopen.socict.org/files/original/1f1602d9f3e7f6cc55d6bd79d1c460b8.pdf 92b711b376316612da98b02b8aabd36a 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 IDENTIFYING RESEARCH AREAS ON CARBON AND NITROGEN DINAMYC IN COFFEE AGROFORESTRY SYSTEMS IN MEXICO Creator An entity primarily responsible for making the resource Rufo Sánchez Hernández, Alejandro Ismael Monterroso Rivas, Diana Ayala-Montejo, Julio Baca Del Moral, Esteban Escamilla Prado, Joél Pérez Nieto, Indumathi Rajagopal, Julio César Alegre Orihuela, Eduardo Valdes Velarde Description An account of the resource Background. Current research advances related to carbon and nitrogen dynamic and the environmental problems, that impact on the socioeconomic functions of agroforestry systems, and the importance of their floristic diversity, have not yet been analyzed in an integrated way for coffee agroforestry systems in Mexico. Objective. It consisted to identify the areas in need of research on carbon and nitrogen dynamic in coffee agroforestry systems in Mexico. Methodology. Publications were compiled until 2018, on the potential of agroforestry systems to keep carbon and nitrogen reserves, which influence in the carbon and nitrogen biogeochemical cycles, and greenhouse gas emissions, as well as socioeconomic importance, productive diversification, and the problems faced by small producers with their ability to adapt to climatic variations. This information was organized and subjected to a cluster analysis with the NVivo12 program, which allowed evaluating the frequency of research for each topic and the relationship between them. Results. 43% of publications are related to carbon storage and 13% on nitrogen dynamic in agroforestry systems, while 37 and 35% evidenced their environmental importance and ability to adapt to climatic variations, respectively. The socioeconomic characteristics show that there is a productive diversity, a floristic composition in multi-strata and traditional management, which affects on carbon and nitrogen dynamic, since the quality of organic matter depends on the diversity of the floristic composition of the system and the type of management applied by the producer. Implications. At present this analysis contributes to detect the advances of investigations on carbon and nitrogen dynamic to generate integrated research according to the Mexican national reality. Conclusions. Researchs should focus on: (1) the productive diversification and carbon and nitrogen dynamic; (2) effect of socioeconomic variations on carbon and nitrogen dynamic; (3) degree of sensitivity of carbon and nitrogen dynamic to climatic variations; (4) identification of adaptive capacities, that allows carbon and nitrogen dynamic to be maintained. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource ciclos biogeoquímico. emisiones de gases de efecto invernadero. cambio climático. capacidad de adaptación. diversificación productiva Source A related resource from which the described resource is derived Tropical and Subtropical Agroecosystems Publisher An entity responsible for making the resource available Universidad Autónoma de Yucatán 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), Agriculture Relation A related resource <a href="https://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3403" target="_blank" rel="noreferrer noopener">https://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3403</a>