250 10 20655 http://socictopen.socict.org/files/original/7facf8bc7bdc8aee016bf88aa5d6ef03.pdf c7de8810cd8325e0fd540ace9928956d 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 Authors' Reply to Sprengholz and Betsch: Willingness to Pay for a COVID-19 Vaccine"." Creator An entity primarily responsible for making the resource Arcadio A Cerda, Leidy Y García Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1007/s40258-021-00657-1 Source A related resource from which the described resource is derived Applied health economics and health policy http://socictopen.socict.org/files/original/ebfd656748969b83b3e190ff81723a7d.pdf c970a6948e61ff2918e92f2a28f7c3a3 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 Auto-organização Creator An entity primarily responsible for making the resource Rainei Rodrigues Jadejiski, Eric de Oliveira, Alessandra Ribeiro Lima Description An account of the resource Este texto relata a experiência de uma pesquisa desenvolvida no ano de 2015 no Assentamento Boa Esperança, localizado no município de Alto Rio Novo/ES. O estudo objetivou compreender como se dá a produção de conhecimentos na auto-organização que se estabelece como processo educativo mediante saberes e fazeres que atravessam o cotidiano das famílias campesinas. Por meio de uma pesquisa qualitativa com abordagem dialética, três unidades familiares foram investigadas e, a partir da análise dos dados coletados, constatou-se que os processos de auto-organização influenciam nos modos como cada família produz a sua sobrevivência e contribuem para uma formação humanística dos sujeitos envolvidos. As vozes dos sujeitos pesquisados evidenciaram que a auto-organização representa uma possibilidade de educação não escolar, pois ela favorece a produção e a propagação de saberes vivenciados na prática. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Agricultura Familiar, Auto-organização, Trabalho, educação não escolar Identifier An unambiguous reference to the resource within a given context 10.14393/REP-2021-60929 Source A related resource from which the described resource is derived Revista de Educação Popular Publisher An entity responsible for making the resource available Editora da Universidade Federal de Uberlândia Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Social Sciences, Labor in politics. Political activity of the working class Relation A related resource <a href="https://seer.ufu.br/index.php/reveducpop/article/view/60929" target="_blank" rel="noreferrer noopener">https://seer.ufu.br/index.php/reveducpop/article/view/60929</a> http://socictopen.socict.org/files/original/e49c54a90c35f2e4c9020a7e36574d59.pdf 25a67194618a3931c402525e7c348bf4 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 Autoconsumo e segurança alimentar: a agricultura familiar a partir dos saberes e práticas da alimentação Self-consumption and food security: family agriculture based on eating knowledge and practices Creator An entity primarily responsible for making the resource Renata Menasche, Flávia Charão Marques, Cândida Zanetti Description An account of the resource OBJETIVO: Identificar e analisar as classificações e representações da alimentação, bem como as práticas de produção e consumo de alimentos entre agricultores e agricultoras da região do Vale do Taquari (Rio Grande do Sul, Brasil). MÉTODOS: Os dados e as informações foram obtidos a partir de entrevistas e observação participante, orientadas por um esquema metodológico qualitativo. Participaram da pesquisa, realizada em 2004 e 2005, 48 famílias rurais, de três diferentes localidades. Os recursos teórico-analíticos utilizados foram os da antropologia da alimentação e da abordagem da reciprocidade. RESULTADOS: Entre as famílias estudadas é significativa a produção de alimentos para autoconsumo, sendo as mulheres as principais responsáveis por sua obtenção. As práticas alimentares, embora tenham sofrido modificações, em função da modernização da agricultura e da incorporação de produtos industrializados, guardam especificidades locais e estão relacionadas a diversas expressões de sociabilidade, como a circulação de alimentos e a realização de festas comunitárias, que, impregnadas por simbolismos, atualizam um modo de vida e têm garantido segurança alimentar. CONCLUSÃO: As práticas de produção para autoconsumo das famílias estudadas estão associadas à sua segurança alimentar e, desse modo, às suas estratégias de reprodução social. A circulação de alimentos e as escolhas alimentares expressam relações de sociabilidade e de identidade nas comunidades rurais estudadas. Aspectos socioculturais e distintos níveis de relações sociais apresentam-se em transformação, podendo colocar em risco a segurança alimentar das famílias. Tais processos inspiram a realização novos estudos.OBJECTIVE: To identify and to analyze eating classifications and representations as well the food production and consumption practices among farmers from Vale do Taquari (Rio Grande do Sul, Brazil). METHODS: The data and information were collected from interviews and participatory observation, oriented by qualitative methods. The research involved 48 rural families from three different localities in 2004 and 2005. The theoretical and analytical resources were provided by food anthropology and reciprocity approach. RESULTS: The production of food for self-consumption among the studied families is significant and the main producers are women. Food practices have changed as a result of agricultural modernization and increased use of industrialized products, yet they maintain local specificity and are related to several expressions of sociability such as food exchanges and community parties. These are permeated by symbolisms that update the way of living and assure food security. CONCLUSION: The production practices for autoconsumption of the studied families are associated with food security and, in this way, to social reproduction strategies. Food exchanges and food choices express relationships of sociability and identity in the studied rural communities. Social and cultural aspects and different levels of social relationships are undergoing a transformation which may jeopardize the food security of the families. Such processes are inspiring new studies. Date A point or period of time associated with an event in the lifecycle of the resource 2008 Subject The topic of the resource Anthropology, Consumo de Alimentos, Food habits, Hábitos alimentares, Identidade de Gênero, População Rural, Rural Population, Segurança alimentar e nutricional, antropología cultural, cultural, food consumption, food security, gender identity Source A related resource from which the described resource is derived Revista de Nutrição Publisher An entity responsible for making the resource available Pontifícia Universidade Católica de Campinas Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nutrition. Foods and food supply Relation A related resource <a href="http://www.scielo.br/scielo.php?script=sci_arttext&amp;pid=S1415-52732008000700013" target="_blank" rel="noreferrer noopener">http://www.scielo.br/scielo.php?script=sci_arttext&amp;pid=S1415-52732008000700013</a> http://socictopen.socict.org/files/original/c1daaa3e2ce20baefc904217f2d951bf.pdf 62e0f8950d901da641bb3d55c2210d37 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 Autoimmune and Rheumatic Manifestations Associated With COVID-19 in Adults: An Updated Systematic Review Creator An entity primarily responsible for making the resource Der-Yuan Chen, Der-Yuan Chen, Kuo-Tung Tang, Kuo-Tung Tang, Kuo-Tung Tang, Bo-Chueh Hsu, Der-Yuan Chen Description An account of the resource Background: Numerous cases of the coronavirus disease 2019 (COVID-19) with autoimmune and rheumatic manifestations have been reported. Despite the available reviews that summarized its autoimmune/rheumatic manifestations, a systematic approach is still lacking. Therefore, we conducted a comprehensive systematic review in order to give an overview upon these rare but clinically significant manifestations.Methods: We performed a literature search of PubMed and EMBASE as of October 9, 2020. All articles relevant to either systemic or organ-specific autoimmune and rheumatic manifestations potentially associated with COVID-19 were collected. The reviewed literature were limited to adults ≥18 years.Results: Although most of the existing evidence was based on case reports or case series without a long-term follow-up, a variety of autoimmune/rheumatic manifestations were associated with COVID-19. The manifestations that have a consistent association with COVID-19 include autoimmune cytopenia, cutaneous vasculitis, encephalitis, and Guillain-Barre syndrome. Such association is conflicting as regards to antiphospholipid syndrome, hemophagocytic lymphohistiocytosis, and myasthenia gravis.Conclusion: Our systematic review indicated the potential of the COVID-19 virus to trigger a myriad of autoimmune and rheumatic manifestations, which should be considered amid global efforts to combat COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, treatment, SARS-CoV-2, Rheumatic disease, Autoimmune Disease Identifier An unambiguous reference to the resource within a given context 10.3389/fimmu.2021.645013 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 Immunologic diseases. Allergy http://socictopen.socict.org/files/original/0e073d3ec01f3cf421d1308244575d69.pdf 00f4a799fc77f9977ed23d4cf8d26fcb 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 Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks. Creator An entity primarily responsible for making the resource Min Lang, Brent P Little, M D Li, F Deng, K Chang, J Kalpathy-Cramer, D P Mendoza, Nishanth Thumbavanam Arun, Mishka Gidwani, Susanna I Lee, Aileen O'Shea, Anushri Parakh, Praveer Singh Description An account of the resource To develop an automated measure of COVID-19 pulmonary disease severity on chest radiographs (CXRs), for longitudinal disease tracking and outcome prediction. A convolutional Siamese neural network-based algorithm was trained to output a measure of pulmonary disease severity on CXRs (pulmonary x-ray severity (PXS) score), using weakly-supervised pretraining on ∼160,000 anterior-posterior images from CheXpert and transfer learning on 314 frontal CXRs from COVID-19 patients. The algorithm was evaluated on internal and external test sets from different hospitals (154 and 113 CXRs respectively). PXS scores were correlated with radiographic severity scores independently assigned by two thoracic radiologists and one in-training radiologist (Pearson r). For 92 internal test set patients with follow-up CXRs, PXS score change was compared to radiologist assessments of change (Spearman ρ). The association between PXS score and subsequent intubation or death was assessed. Bootstrap 95% confidence intervals (CI) were calculated. PXS scores correlated with radiographic pulmonary disease severity scores assigned to CXRs in the internal and external test sets (r=0.86 (95%CI 0.80-0.90) and r=0.86 (95%CI 0.79-0.90) respectively). The direction of change in PXS score in follow-up CXRs agreed with radiologist assessment (ρ=0.74 (95%CI 0.63-0.81)). In patients not intubated on the admission CXR, the PXS score predicted subsequent intubation or death within three days of hospital admission (area under the receiver operating characteristic curve=0.80 (95%CI 0.75-0.85)). A Siamese neural network-based severity score automatically measures radiographic COVID-19 pulmonary disease severity, which can be used to track disease change and predict subsequent intubation or death. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.1148/ryai.2020200079 Source A related resource from which the described resource is derived Radiology. Artificial intelligence http://socictopen.socict.org/files/original/a0f0b47110da51f4c61f5015282a8037.pdf 6fd796571cf68e36e9eafc97dcd626c5 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 Automated EHR score to predict COVID-19 outcomes at US Department of Veterans Affairs. Creator An entity primarily responsible for making the resource Thomas F Osborne, Zachary P Veigulis, David M Arreola, Eliane Röösli, Catherine M Curtin Description An account of the resource The sudden emergence of COVID-19 has brought significant challenges to the care of Veterans. An improved ability to predict a patient's clinical course would facilitate optimal care decisions, resource allocation, family counseling, and strategies for safely easing distancing restrictions. The Care Assessment Need (CAN) score is an existing risk assessment tool within the Veterans Health Administration (VA), and produces a score from 0 to 99, with a higher score correlating to a greater risk. The model was originally designed for the nonacute outpatient setting and is automatically calculated from structured data variables in the electronic health record. This multisite retrospective study of 6591 Veterans diagnosed with COVID-19 from March 2, 2020 to May 26, 2020 was designed to assess the utility of repurposing the CAN score as objective and automated risk assessment tool to promptly enhance clinical decision making for Veterans diagnosed with COVID-19. We performed bivariate analyses on the dichotomized CAN 1-year mortality score (high vs. low risk) and each patient outcome using Chi-square tests of independence. Logistic regression models using the continuous CAN score were fit to assess its predictive power for outcomes of interest. Results demonstrated that a CAN score greater than 50 was significantly associated with the following outcomes after positive COVID-19 test: hospital admission (OR 4.6), prolonged hospital stay (OR 4.5), ICU admission (3.1), prolonged ICU stay (OR 2.9), mechanical ventilation (OR 2.6), and mortality (OR 7.2). Repurposing the CAN score offers an efficient way to risk-stratify COVID-19 Veterans. As a result of the compelling statistical results, and automation, this tool is well positioned for broad use across the VA to enhance clinical decision-making. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.1371/journal.pone.0236554 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 Science, Medicine http://socictopen.socict.org/files/original/dbe4be77d75beadf6af9c414c9e1f2fc.pdf 5c43d7db2682031a0c400da87cce561d 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 Automated extraction protocol for quantification of SARS-Coronavirus RNA in serum: an evaluation study Creator An entity primarily responsible for making the resource Lui Wing-bong, Chung Grace TY, Jin Yongjie, Chiu Rossa WK, Chan Anthony TC, Lim Wilina, Dennis Lo YM Description An account of the resource Abstract Background We have previously developed a test for the diagnosis and prognostic assessment of the severe acute respiratory syndrome (SARS) based on the detection of the SARS-coronavirus RNA in serum by real-time quantitative reverse transcriptase polymerase chain reaction (RT-PCR). In this study, we evaluated the feasibility of automating the serum RNA extraction procedure in order to increase the throughput of the assay. Methods An automated nucleic acid extraction platform using the MagNA Pure LC instrument (Roche Diagnostics) was evaluated. We developed a modified protocol in compliance with the recommended biosafety guidelines from the World Health Organization based on the use of the MagNA Pure total nucleic acid large volume isolation kit for the extraction of SARS-coronavirus RNA. The modified protocol was compared with a column-based extraction kit (QIAamp viral RNA mini kit, Qiagen) for quantitative performance, analytical sensitivity and precision. Results The newly developed automated protocol was shown to be free from carry-over contamination and have comparable performance with other standard protocols and kits designed for the MagNA Pure LC instrument. However, the automated method was found to be less sensitive, less precise and led to consistently lower serum SARS-coronavirus concentrations when compared with the column-based extraction method. Conclusion As the diagnostic efficiency and prognostic value of the serum SARS-CoV RNA RT-PCR test is critically associated with the analytical sensitivity and quantitative performance contributed both by the RNA extraction and RT-PCR components of the test, we recommend the use of the column-based manual RNA extraction method. Date A point or period of time associated with an event in the lifecycle of the resource 2006 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/1471-2334-6-20 Source A related resource from which the described resource is derived BMC Infectious Diseases 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 Infectious and parasitic diseases Language A language of the resource EN http://socictopen.socict.org/files/original/e1edbfd82b19d138110e4579ef256eff.pdf 4c880e5d346694a54873c5d3c56b34d2 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 Automated Lowcost System for Farmers: Control and monitoring of the thermal environment in swine breeding Creator An entity primarily responsible for making the resource Pedro Hurtado de Mendoza Borges, Zaíra Morais dos Santos Hurtado Mendoza, Pedro Hurtado de Mendoza Morais, Ronei Lopes dos Santos Description An account of the resource The present work aimed to develop an automated system of low cost to monitor and control the thermal environment of pig facilities. Through sensors connected to an Arduino micro-controller, it was possible to drive fans and/or nebulisers to maintain adequate temperature and relative humidity values, depending on the requirements of the animal. These values were established based on the enthalpy inside the shed, recommended by the consulted bibliographical references. For the correct functioning of the system, the flowchart and the corresponding implementation of the computer program in the C language were elaborated, using the development environment of the micro-controller itself. During the tests, the system activated the equipment and stored the data as expected, showing good performance. As a conclusion, the proposed system reduced the consumption of water and energy, proving its efficiency. This research will serve as a useful and viable tool for pig farmers contributing to the reduction of costs and the sustainability of their enterprises. Date A point or period of time associated with an event in the lifecycle of the resource 2018 Subject The topic of the resource Agricultura Familiar, Arduino, conforto animal, pecuária, sustentabilidade Source A related resource from which the described resource is derived Revista Eletrônica Competências Digitais para Agricultura Familiar Publisher An entity responsible for making the resource available Universidade Estadual Paulista Júlio de Mesquita Filho 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) Relation A related resource <a href="http://codaf.tupa.unesp.br:8082/index.php/recodaf/article/view/79" target="_blank" rel="noreferrer noopener">http://codaf.tupa.unesp.br:8082/index.php/recodaf/article/view/79</a> http://socictopen.socict.org/files/original/f32a298d37de74a92c6a9199067b0ab8.pdf ea5ceba3d8e9b08410ab50aa4df04a0a 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 Automated Statistical Methods for Fault Detection in District Heating Customer Installations Creator An entity primarily responsible for making the resource Sara Månsson, Kristin Davidsson, Patrick Lauenburg, Marcus Thern Description An account of the resource In order to develop more sustainable district heating systems, the district heating sector is currently trying to increase the energy efficiency of these systems. One way of doing so is to identify customer installations in the systems that have poor cooling performance. This study aimed to develop an algorithm that was able to detect the poorly performing installations automatically using meter readings from the installations. The algorithm was developed using statistical methods and was tested on a data set consisting of data from 3000 installations located in a district heating system in Sweden. As many as 1273 installations were identified by the algorithm as having poor cooling performance. This clearly shows that it is of major interest to the district heating companies to identify the installations with poor cooling performance rapidly and automatically, in order to rectify them as soon as possible. Date A point or period of time associated with an event in the lifecycle of the resource 2018 Subject The topic of the resource automatic fault detection, district heating, substation performance Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/en12010113 Source A related resource from which the described resource is derived Energies 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 Technology Language A language of the resource EN http://socictopen.socict.org/files/original/d5b9b38155aed1476cba9be1ed5656cf.pdf 3a502e90ccf62f78cd4d2c1a82196571 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 Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and home settings for COVID-19 patients. Creator An entity primarily responsible for making the resource Xiaoyue Ni, Wei Ouyang, Hyoyoung Jeong, Jin-Tae Kim, Andreas Tzaveils, Ali Mirzazadeh, Changsheng Wu, Jong Yoon Lee, Matthew Keller, Chaithanya K Mummidisetty, Manish Patel, Nicholas Shawen, Joy Huang, Hope Chen, Sowmya Ravi, Jan-Kai Chang, KunHyuck Lee, Yixin Wu, Ferrona Lie, Youn J Kang, Jong Uk Kim, Leonardo P Chamorro, Anthony R Banks, Ankit Bharat, Arun Jayaraman, Shuai Xu, John A Rogers Description An account of the resource Capabilities in continuous monitoring of key physiological parameters of disease have never been more important than in the context of the global COVID-19 pandemic. Soft, skin-mounted electronics that incorporate high-bandwidth, miniaturized motion sensors enable digital, wireless measurements of mechanoacoustic (MA) signatures of both core vital signs (heart rate, respiratory rate, and temperature) and underexplored biomarkers (coughing count) with high fidelity and immunity to ambient noises. This paper summarizes an effort that integrates such MA sensors with a cloud data infrastructure and a set of analytics approaches based on digital filtering and convolutional neural networks for monitoring of COVID-19 infections in sick and healthy individuals in the hospital and the home. Unique features are in quantitative measurements of coughing and other vocal events, as indicators of both disease and infectiousness. Systematic imaging studies demonstrate correlations between the time and intensity of coughing, speaking, and laughing and the total droplet production, as an approximate indicator of the probability for disease spread. The sensors, deployed on COVID-19 patients along with healthy controls in both inpatient and home settings, record coughing frequency and intensity continuously, along with a collection of other biometrics. The results indicate a decaying trend of coughing frequency and intensity through the course of disease recovery, but with wide variations across patient populations. The methodology creates opportunities to study patterns in biometrics across individuals and among different demographic groups. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource respiratory disease, covid-19, Biomarkers, Digital health, wearable electronics Identifier An unambiguous reference to the resource within a given context 10.1073/pnas.2026610118 Source A related resource from which the described resource is derived Proceedings of the National Academy of Sciences of the United States of America