374
10
20655
-
https://www.socictopen.socict.org/files/original/02f32b93065bab49c1b0c7699632c361.pdf
259ceccb7e0f7604cf4aef1cdf87465b
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
Considerations for Basic Income as a Covid-19 Response
Creator
An entity primarily responsible for making the resource
David Green, Rhys Kesselman, Lindsey Tedds
Description
An account of the resource
When the federal government created the Canada Emergency Response Benefit(CERB) to help Canadians who had lost their jobs in the COVID-19 lockdown, itsparked renewed interest in the idea of a basic income. However, many policyquestions need to be discussed and resolved in order to assess a basic incomeand compare it to alternative forms of social support. Careful and thoroughconsideration of these matters is vital in deciding whether a basic income shouldbe implemented, and if so, how it should be done and indeed what form itshould take.
Date
A point or period of time associated with an event in the lifecycle of the resource
2020
Subject
The topic of the resource
policy implementation, Policy design, basic income, COVID-19
Identifier
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DOI:
Source
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The School of Public Policy Publications
Publisher
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University of Calgary
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Political institutions and public administration (General)
-
https://www.socictopen.socict.org/files/original/4423d80aea969688cd7185025448617a.pdf
c3f95962c2514914fbdc20c067359f91
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
Characteristics of COVID-19 Clinical Trials in China Based on the Registration Data on ChiCTR and ClinicalTrials.gov
Creator
An entity primarily responsible for making the resource
Yang J, He Y., Huang J, Su Q
Description
An account of the resource
Jihan Huang,1,* Yingchun He,1,* Qianmin Su,2 Juan Yang1 1Center for Drug Clinical Research, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, People’s Republic of China; 2Department of Computer in College of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jihan Huang; Juan YangCenter for Drug Clinical Research, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, #1200 Cailun Road, Pudong New District, Shanghai 201203, People’s Republic of ChinaTel +86 21 51322420Email huangjihan@shutcm.edu.cn; janeyang5006@163.comObjective: This study aimed to evaluate the fundamental characteristics of coronavirus disease (COVID-19) clinical trials registered in China.Methods: COVID-19 clinical trials registered in China were analyzed from databases on ChiCTR and ClinicalTrials.gov. The study designs, samples, primary end points, and intervention measures were evaluated.Results: In total, 262 intervention clinical trials were retrieved on March 10, 2020. Overall, 181 (69.1%) trials involved two groups, 200 (76.3%) trials were randomized parallel trials, 24 (9.2%) trials were double blind, and 60.3% of trials included ≤ 100 participants. Sixty (22.9%) trials considered symptom improvement as the primary endpoint and 43 (16.4%) trials considered the rate or time at which the subjects became virus-free as the primary endpoint. Of 262 intervention studies, chemical drugs and biological products were studied in 105 (40.1%) intervention studies, of which antiviral drugs accounted for 15.3% and malaria drugs accounted for 8.4% of the studies. Among all trials, 27.9% of the studies used traditional Chinese medicine (TCM), 10.3% used cell therapy, and 5.0% used plasma therapy.Conclusion: This study is the first snapshot of the landscape of COVID-19 clinical trials registered in China and provided the basic features of clinical trial designs for the treatment and prevention of COVID-19 to offer useful information to guide future clinical trials on COVID-19 in other countries.Keywords: COVID-19, clinical trial, interventional, randomized, blinding
Date
A point or period of time associated with an event in the lifecycle of the resource
2020
Subject
The topic of the resource
clinical trial, randomized, interventional, Blinding, COVID-19
Identifier
An unambiguous reference to the resource within a given context
DOI:
Source
A related resource from which the described resource is derived
Drug Design, Development and Therapy
Publisher
An entity responsible for making the resource available
Dove Medical Press
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Therapeutics. Pharmacology
-
https://www.socictopen.socict.org/files/original/ccd273b76cbd91170d5e699acde6cf91.pdf
9966e530118d21a5c2483d4fdfd4f3cc
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
Related Health Factors of Psychological Distress During the COVID-19 Pandemic in Spain
Creator
An entity primarily responsible for making the resource
Carlos Ruiz-Frutos, Juan Gómez-Salgado, Montserrat Andrés-Villas, Sara Domínguez-Salas, Diego Díaz-Milanés
Description
An account of the resource
Measures to prevent and contain the COVID-19 health crisis include population confinement, with the consequent isolation and interruption of their usual activities. The aim of the study is to analyse psychological distress during the COVID-19 pandemic. For this, a cross-sectional observational study with a sample of 4180 people over the age of 18 during quarantine was developed. Variables considered were sociodemographic variables, physical symptoms, health conditions, COVID-19 contact history and psychological adjustment. The data were collected through a self-developed questionnaire and the General Health Questionnaire (GHQ-12). Bivariate analyses were performed, including Chi-Squared test and Student’s T-test. Predictive ability was calculated through logistic regression. Results obtained showed a high level of psychological distress (72.0%), with a higher percentage in women and people of lower middle age. Statistically significant differences were found in the variable working situation (χ² = 63.139, p ≤ 0.001, V = 0.123) and living with children under the age of 16 (χ² = 7.393, p = 0.007, V = 0.042). The predictive variables with the highest weight were sex (OR = 1.952, 95% IC = (1.667, 2.286)), presence of symptoms (OR = 1.130, 95% CI = (1.074, 1.190)), and having had close contact with an individual with confirmed COVID-19 (OR = 1.241, 95% CI = (1.026, 1.500)). These results could enrich prevention interventions in public health and, in particular, in mental health in similar pandemic situations.
Date
A point or period of time associated with an event in the lifecycle of the resource
2020
Subject
The topic of the resource
Mental health, Public Health, psychological distress, Pandemic, quarantine, COVID-19
Identifier
An unambiguous reference to the resource within a given context
DOI: 10.3390/ijerph17113947
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/1b3f80405a6d965b349023498521ed27.pdf
3ce6766aec81bd2cb05e0a9da2a11cab
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
Bariatric Surgery During COVID-19 Pandemic from Patients’ Point of View—The Results of a National Survey
Creator
An entity primarily responsible for making the resource
Piotr Major, Michał Wysocki, Michał Pędziwiatr, Jacek Szeliga, Tomasz Stefura, Maciej Walędziak, Anna Różańska-Walędziak, Monika Proczko-Stepaniak
Description
An account of the resource
Introduction: The aim of the study was to investigate the impact of the COVID-19 pandemic on bariatric care from the patients’ point of view. The COVID-19 pandemic has perturbed the functioning of healthcare systems around the world and led to changes in elective surgical care, with bariatric procedures being postponed until the end of pandemic. There is no data in the literature about the effect of a new epidemiological situation on bariatric patients. Methods: The study was designed as an online survey containing multiple open questions about bariatric care during the COVID-19 pandemic. The survey was conducted among pre- and postoperative bariatric patients. Results: Out of 800 respondents, 74.53% felt anxiety about their health in regard to the present epidemiologic state. Some (72.25%) were aware of the fact that obesity was an important risk factor that could impair the course of the COVID-19 disease. Almost 30% of respondents admitted having put on weight, significantly more in the group of preoperative patients (43.8% vs 22.69%; p < 0.001). Only 20.92% of patients had a possibility of continuing direct bariatric care; 67.3% of patients had an opportunity of remote contact with a bariatric specialist, including online consultations, teleconsultations and social media meetings. Conclusions: Limited access to medical care and quarantine lockdown may result in a deterioration of long-time operation outcomes and lower weight losses. Patients should be encouraged to profit from online consultations with specialists and telemedicine to reduce the negative effects of the pandemic on their health.
Date
A point or period of time associated with an event in the lifecycle of the resource
2020
Subject
The topic of the resource
Bariatric surgery, COVID
Identifier
An unambiguous reference to the resource within a given context
DOI: 10.3390/jcm9061697
Source
A related resource from which the described resource is derived
Journal of Clinical Medicine
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/89c65811017d3426f0a81c7bcf7ecab0.pdf
fc67b9121bed2f8d2cf6b1a2f4e8755a
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Coronavirus
Description
An account of the resource
Dominio científico: Coronavirus
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach
Creator
An entity primarily responsible for making the resource
Amir Mosavi, Pedram Ghamisi, Richard Gloaguen, Imre Felde, Gergo Pinter
Description
An account of the resource
Several epidemiological models are being used around the world to project the number of infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate prediction models is of utmost importance to take proper actions. Due to the lack of essential data and uncertainty, the epidemiological models have been challenged regarding the delivery of higher accuracy for long-term prediction. As an alternative to the susceptible-infected-resistant (SIR)-based models, this study proposes a hybrid machine learning approach to predict the COVID-19, and we exemplify its potential using data from Hungary. The hybrid machine learning methods of adaptive network-based fuzzy inference system (ANFIS) and multi-layered perceptron-imperialist competitive algorithm (MLP-ICA) are proposed to predict time series of infected individuals and mortality rate. The models predict that by late May, the outbreak and the total morality will drop substantially. The validation is performed for 9 days with promising results, which confirms the model accuracy. It is expected that the model maintains its accuracy as long as no significant interruption occurs. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future research.
Date
A point or period of time associated with an event in the lifecycle of the resource
2020
Subject
The topic of the resource
machine learning, Prediction model, COVID-19
Identifier
An unambiguous reference to the resource within a given context
DOI: 10.3390/math8060890
Source
A related resource from which the described resource is derived
Mathematics
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
Mathematics
-
https://www.socictopen.socict.org/files/original/5ced959a43c83dcfb7546b714b66d05e.pdf
4a87b326d8e928c46f3a2f245c27eff0
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
Anti-Infectious Plants of The Thai Karen: A Meta-Analysis
Creator
An entity primarily responsible for making the resource
Henrik Balslev, Methee Phumthum
Description
An account of the resource
Pharmacology has developed many drugs to treat infections, but many people, especially in developing countries, cannot afford to purchase them, and still depend on traditional knowledge and local medicinal plants to fight off infections. In addition, numerous microbes have developed resistance to the pharmaceutical drugs developed to fight them, and for many, such as Covid-19, effective drugs remain to be found. Ethnomedicinal knowledge is useful, not only for local people as a source of medicine for primary health care, but also for new pharmacological discoveries. This study aimed to identify the plants that the Karen, the largest hill-tribe ethnic minority in northern and western Thailand, use for treatments of infectious diseases. We present a meta-analysis of data from 16 ethnobotanical studies of 25 Karen villages with the aim of understanding traditional knowledge and treatments and point to potential plants for further pharmacological development. The Karen used 127 plant species from 59 plant families to treat infections and infectious diseases. The Cultural Important Index (CI) showed that the Leguminosae, Euphorbiaceae, Asteraceae, Lauraceae, Apocynaceae, Menispermaceae, and Lamiaceae were the most commonly used families. As for species, Cleidion javanicum, Tinospora crispa, Litsea cubeba, Aesculus assamica, Tadehagi triquetrum, Senna alata, Tithonia diversifolia, Embelia sessiliflora, and Combretum indicum were the most commonly used in treatments of infectious diseases. We suggest that these plant species should be the first to be pharmacologically tested for possible development of medicines, and the remaining species registered should subsequently undergo testing.
Date
A point or period of time associated with an event in the lifecycle of the resource
2020
Subject
The topic of the resource
Anti-microbial, bacterial, Ethnobotany, infectious diseases, fungal, ethnomedicinal plants
Identifier
An unambiguous reference to the resource within a given context
DOI: 10.3390/antibiotics9060298
Source
A related resource from which the described resource is derived
Antibiotics
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
Therapeutics. Pharmacology
-
https://www.socictopen.socict.org/files/original/97d2a7d6ca982df3637843e25fbf2763.pdf
34302b49eb3f3dd217de2e12dcd76508
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
Lessons learned from SARS-CoV and MERS-CoV: FDA-approved Abelson tyrosine-protein kinase 2 inhibitors may help us combat SARS-CoV-2
Creator
An entity primarily responsible for making the resource
Solomon Habtemariam, Ioana Berindan-Neagoe, Maciej Banach, Mahdi Bagheri, Morteza Izadi, Emilio Clementi, Mahsa Rasekhian, Mohammad Bagheri, Seyed Nabavi, Cosmin Cismaru
Date
A point or period of time associated with an event in the lifecycle of the resource
2020
Identifier
An unambiguous reference to the resource within a given context
DOI: 10.5114/aoms.2020.94504
Source
A related resource from which the described resource is derived
Archives of Medical Science
Publisher
An entity responsible for making the resource available
Termedia Publishing House
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/e3faade5dff9aa52d3c6acc88c532f75.pdf
69cf06bdbc15868eb6d377bbb1eb7537
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 Need for a Mental Health Technology Revolution in the COVID-19 Pandemic
Creator
An entity primarily responsible for making the resource
Caroline A. Figueroa, Adrián Aguilera
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 mental health, tele-mental health, mobile health (mHealth), Psychological therapies, COVID-19, apps and smartphones
Identifier
An unambiguous reference to the resource within a given context
DOI: 10.3389/fpsyt.2020.00523
Source
A related resource from which the described resource is derived
Frontiers in Psychiatry
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
Psychiatry
-
https://www.socictopen.socict.org/files/original/424b42d774ce850d411f369f5f09a72a.pdf
2db31b4cfbe411544fae5f7016d8024d
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
Recommendations for Dental Care during COVID-19 Pandemic
Creator
An entity primarily responsible for making the resource
Kathrin Becker, Giulia Brunello, Frank Schwarz, Agata Gurzawska, Katarzyna Gurzawska-Comis
Description
An account of the resource
Dental clinics were suspected to be a hotspot for nosocomial transmission of coronavirus disease 19 (COVID-19), yet there has been no clear recommendation about emergency dental care and appropriate personal protective equipment during pandemics. In this paper, we aim to summarize recommendations for (i) patient risk assessment, (ii) patient triage, and (iii) measures to prevent infection of health professionals and nosocomial transmission in dental clinics. The available evidence was collected by performing searches on PubMed, Embase, and Cochrane databases. We reviewed papers on COVID-19, severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), influenza, and related respiratory viral diseases. Legal and ethical frameworks, as well as international (e.g., World Health Organization (WHO)) and national (e.g., public health institutes, dental associations) guidelines were screened to summarize recommendations related to dental emergency care. To assess the patient risk, a questionnaire was developed to classify patients at unknown, high, and very high risk. Patient triage recommendations were summarized in a flow chart that graded the emergency level of treatments (i.e., urgent, as soon as possible, and postpone). Measures to prevent disease transmission based on current evidence were grouped for dental health professionals, dental clinics, and patients. The present recommendations may support health professionals implement preventative measures during the pandemic.
Date
A point or period of time associated with an event in the lifecycle of the resource
2020
Subject
The topic of the resource
coronavirus, Patient Questionnaire, SARS-CoV-2, COVID-19, Patient triage, dental emergency treatment
Identifier
An unambiguous reference to the resource within a given context
DOI: 10.3390/jcm9061833
Source
A related resource from which the described resource is derived
Journal of Clinical Medicine
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/d65050f344835ae344abc59248871069.pdf
5eadaea5526c25e022f9838fe54f730e
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
Artificial Neural Network Modeling of Novel Coronavirus (COVID-19) Incidence Rates across the Continental United States
Creator
An entity primarily responsible for making the resource
Abolfazl Mollalo, Kiara M. Rivera, Behzad Vahedi
Description
An account of the resource
Prediction of the COVID-19 incidence rate is a matter of global importance, particularly in the United States. As of 4 June 2020, more than 1.8 million confirmed cases and over 108 thousand deaths have been reported in this country. Few studies have examined nationwide modeling of COVID-19 incidence in the United States particularly using machine-learning algorithms. Thus, we collected and prepared a database of 57 candidate explanatory variables to examine the performance of multilayer perceptron (MLP) neural network in predicting the cumulative COVID-19 incidence rates across the continental United States. Our results indicated that a single-hidden-layer MLP could explain almost 65% of the correlation with ground truth for the holdout samples. Sensitivity analysis conducted on this model showed that the age-adjusted mortality rates of ischemic heart disease, pancreatic cancer, and leukemia, together with two socioeconomic and environmental factors (median household income and total precipitation), are among the most substantial factors for predicting COVID-19 incidence rates. Moreover, results of the logistic regression model indicated that these variables could explain the presence/absence of the hotspots of disease incidence that were identified by Getis-Ord Gi* (p < 0.05) in a geographic information system environment. The findings may provide useful insights for public health decision makers regarding the influence of potential risk factors associated with the COVID-19 incidence at the county level.
Date
A point or period of time associated with an event in the lifecycle of the resource
2020
Subject
The topic of the resource
GIS, artificial neural networks, United States, Multi-layer perceptron, covid-19 coronavirus
Identifier
An unambiguous reference to the resource within a given context
DOI: 10.3390/ijerph17124204
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