942 10 20655 https://www.socictopen.socict.org/files/original/7823483d323587a02caf6acc78c6ca76.pdf 02d0aaebe6315cfcd9a62f46507d371f 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 Comparative study of machine learning methods for COVID-19 transmission forecasting. Creator An entity primarily responsible for making the resource Abdelkader Dairi, Fouzi Harrou, Abdelhafid Zeroual, Mohamad Mazen Hittawe, Ying Sun Description An account of the resource Within the recent pandemic, scientists and clinicians are engaged in seeking new technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning, as an essential aspect of artificial intelligence, on past epidemics offers a new line to tackle the novel Coronavirus outbreak. Accurate short-term forecasting of COVID-19 spread plays an essential role in improving the management of the overcrowding problem in hospitals and enables appropriate optimization of the available resources (i.e., materials and staff).This paper presents a comparative study of machine learning methods for COVID-19 transmission forecasting. We investigated the performances of deep learning methods, including the hybrid convolutional neural networks-Long short-term memory (LSTM-CNN), the hybrid gated recurrent unit-convolutional neural networks (GAN-GRU), GAN, CNN, LSTM, and Restricted Boltzmann Machine (RBM), as well as baseline machine learning methods, namely logistic regression (LR) and support vector regression (SVR). The employment of hybrid models (i.e., LSTM-CNN and GAN-GRU) is expected to eventually improve the forecasting accuracy of COVID-19 future trends. The performance of the investigated deep learning and machine learning models was tested using confirmed and recovered COVID-19 cases time-series data from seven impacted countries: Brazil, France, India, Mexico, Russia, Saudi Arabia, and the US. The results reveal that hybrid deep learning models can efficiently forecast COVID-19 cases. Also, results confirmed the superior performance of deep learning models compared to the two considered baseline machine learning models. Furthermore, results showed that LSTM-CNN achieved improved performances with an averaged mean absolute percentage error of 3.718%, among others. 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, hybrid deep learning, short-term forecasting, GAN-GRU, LSTM-CNN Identifier An unambiguous reference to the resource within a given context 10.1016/j.jbi.2021.103791 Source A related resource from which the described resource is derived Journal of biomedical informatics https://www.socictopen.socict.org/files/original/69e88717a66b69a7e1a524352fa04306.pdf c33c82b1c1d7be9999230eeea29f31eb 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 Promising phytochemicals of traditional Himalayan medicinal plants against putative replication and transmission targets of SARS-CoV-2 by computational investigation. Creator An entity primarily responsible for making the resource Jagadish Natesh, Priya Mondal, Abdul Ajees Abdul Salam, Syed Musthapa Meeran, Bhavjot Kaur, Srikaa Kasilingam Description An account of the resource Identification and repurposing of therapeutic and preventive strategies against COVID-19 are rapidly undergoing. Several medicinal plants from the Himalayan region have been traditionally used to treat various human disorders. Thus, in our current study, we intended to explore the potential ability of Himalayan medicinal plant (HMP) bioactives against COVID-19 using computational investigations. Molecular docking was performed against six crucial targets involved in the replication and transmission of SARS-CoV-2. About forty-two HMP bioactives were analyzed against these targets for their binding energy, molecular interactions, inhibition constant, and biological pathway enrichment analysis. Pharmacological properties and potential biological functions of HMP bioactives were predicted using the ADMETlab and PASS webserver respectively. Our current investigation has demonstrated that the bioactives of HMPs potentially act against COVID-19. Docking results showed that several HMP bioactives had a superior binding affinity with SARS-CoV-2 essential targets like 3CLpro, PLpro, RdRp, helicase, spike protein, and human ACE2. Based on the binding energies, several bioactives were selected and analyzed for pathway enrichment studies. We have found that selected HMP bioactives may have a role in regulating immune and apoptotic pathways. Furthermore, these selected HMP bioactives have shown lower toxicity with pleiotropic biological activities, including anti-viral activities in predicting activity spectra for substances. Current study results can explore the possibility of HMPs as therapeutic agents against 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 molecular docking, covid-19, SARS-CoV-2, Himalayan medicinal plants Identifier An unambiguous reference to the resource within a given context 10.1016/j.compbiomed.2021.104383 Source A related resource from which the described resource is derived Computers in biology and medicine https://www.socictopen.socict.org/files/original/bf18d93b0771a90a38eeb50dfa116be6.pdf b588a4604e45e263e5aa536a77db1651 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 Ultra-fast and recyclable DNA biosensor for point-of-care detection of SARS-CoV-2 (COVID-19). Creator An entity primarily responsible for making the resource Chuljin Hwang, Nakkyun Park, Eun Seong Kim, Miran Kim, Su Dong Kim, Sungjun Park, Nam Young Kim, Joo Hee Kim Description An account of the resource Rapid diagnosis and case isolation are pivotal to controlling the current pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, a label-free DNA capacitive biosensor for the detection of SARS-CoV-2 that demonstrates real-time, low-cost, and high-throughput screening of nucleic acid samples is presented. Our novel biosensor composed of the interdigitated platinum/titanium electrodes on the glass substrate can detect the hybridization of analyte DNA with probe DNA. The hybridization signals of specific DNA sequences were verified through exhaustive physicochemical analytical techniques such as Fourier transform infrared (FT-IR) spectrometry, contact-angle analysis, and capacitance-frequency measurements. For a single-step hybridized reaction, the fabricated kit exhibited significant sensitivity (capacitance change, ΔC = ~2 nF) in detecting the conserved region of the SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) gene with high sensitivity of 0.843 nF/nM. In addition to capacitive measurements, this selective detection was confirmed by the fluorescence image and intensity from a SARS-CoV-2 gene labeled with a fluorescent dye. We also demonstrated that the kits are recyclable by surface ozone treatment using UV irradiation. Thus, these kits could potentially be applied to various types of label-free DNA, thereby acting as rapid, cost-effective biosensors for several diseases. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource SARS-CoV-2, point-of-care diagnostics, Capacitance transducer, Electrochemical DNA detection, Recyclable biosensor Identifier An unambiguous reference to the resource within a given context 10.1016/j.bios.2021.113177 Source A related resource from which the described resource is derived Biosensors & bioelectronics https://www.socictopen.socict.org/files/original/58198bbcdb28585e6a2dcd4c2ddb0bd3.pdf b04b4635b825615276e102609320129e 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 In pursuit of the right tail for the COVID-19 incubation period. Creator An entity primarily responsible for making the resource Nevio Cimolai Description An account of the resource Definition of the incubation period for COVID-19 is critical for implementing quarantine and thus infection control. Whereas the classical definition relies on the time from exposure to time of first symptoms, a more practical working definition is the time from exposure to time of first live virus excretion. For COVID-19, average incubation period times commonly span 5-7 days which are generally longer than for most typical other respiratory viruses. There is considerable variability reported however for the late right-hand statistical distribution. A small but yet epidemiologically important subset of patients may have the late end of the incubation period extend beyond the 14 days that is frequently assumed. Conservative assumptions of the right tail end distribution favor safety, but pragmatic working modifications may be required to accommodate high rates of infection and/or healthcare worker exposures. Despite the advent of effective vaccines, further attention and study in these regards are warranted. It is predictable that vaccine application will be associated with continued confusion over protection and its longevity. Measures for the application of infectivity will continue to be extremely relevant. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource coronavirus, transmission, quarantine, covid-19, incubation period Identifier An unambiguous reference to the resource within a given context 10.1016/j.puhe.2021.03.011 Source A related resource from which the described resource is derived Public health https://www.socictopen.socict.org/files/original/5026022a2ead7cd6451a9406705e6008.pdf e0193ee5cbbca5c9a8e540c67763c004 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 Ebsulfur and Ebselen as highly potent scaffolds for the development of potential SARS-CoV-2 antivirals. Creator An entity primarily responsible for making the resource Le-Yun Sun, Cheng Chen, Jianpeng Su, Jia-Qi Li, Zhihui Jiang, Han Gao, Jia-Zhu Chigan, Huan-Huan Ding, Le Zhai, Ke-Wu Yang Description An account of the resource The emerging COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has raised a global catastrophe. To date, there is no specific antiviral drug available to combat this virus, except the vaccine. In this study, the main protease (Mpro) required for SARS-CoV-2 viral replication was expressed and purified. Thirty-six compounds were tested as inhibitors of SARS-CoV-2 Mpro by fluorescence resonance energy transfer (FRET) technique. The half-maximal inhibitory concentration (IC50) values of Ebselen and Ebsulfur analogs were obtained to be in the range of 0.074-0.91 μM. Notably, the molecules containing furane substituent displayed higher inhibition against Mpro, followed by Ebselen 1i (IC50 = 0.074 μM) and Ebsulfur 2k (IC50 = 0.11 μM). The action mechanism of 1i and 2k were characterized by enzyme kinetics, pre-incubation and jump dilution assays, as well as fluorescent labeling experiments, which suggested that both compounds covalently and irreversibly bind to Mpro, while molecular docking suggested that 2k formed an SS bond with the Cys145 at the enzymatic active site. This study provides two very potent scaffolds Ebsulfur and Ebselen for the development of covalent inhibitors of Mpro 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, inhibitor, SARS-CoV-2, main protease, Ebsulfur Identifier An unambiguous reference to the resource within a given context 10.1016/j.bioorg.2021.104889 Source A related resource from which the described resource is derived Bioorganic chemistry https://www.socictopen.socict.org/files/original/edc0fea895d30d214050508e63fd2678.pdf 86a010e3bb2ea61675d53f742baedd63 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 Elementary effects analysis of factors controlling COVID-19 infections in computational simulation reveals the importance of social distancing and mask usage. Creator An entity primarily responsible for making the resource Kelvin K F Li, Stephen A Jarvis, Fayyaz Minhas Description An account of the resource COVID-19 was declared a pandemic by the World Health Organisation (WHO) on March 11th, 2020. With half of the world's countries in lockdown as of April due to this pandemic, monitoring and understanding the spread of the virus and infection rates and how these factors relate to behavioural and societal parameters is crucial for developing control strategies. This paper aims to investigate the effectiveness of masks, social distancing, lockdown and self-isolation for reducing the spread of SARS-CoV-2 infections. Our findings from an agent-based simulation modelling showed that whilst requiring a lockdown is widely believed to be the most efficient method to quickly reduce infection numbers, the practice of social distancing and the usage of surgical masks can potentially be more effective than requiring a lockdown. Our multivariate analysis of simulation results using the Morris Elementary Effects Method suggests that if a sufficient proportion of the population uses surgical masks and follows social distancing regulations, then SARS-CoV-2 infections can be controlled without requiring a lockdown. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource epidemiology, coronavirus, infectious diseases, isolation, virus, covid-19, SARS-CoV-2, simulation, social distancing, survival, lockdown, Masks, agent-based modelling, NetLogo, stochastic processes, Python, Stochasticity Identifier An unambiguous reference to the resource within a given context 10.1016/j.compbiomed.2021.104369 Source A related resource from which the described resource is derived Computers in biology and medicine https://www.socictopen.socict.org/files/original/fbe3dbb23f22cf99d33633812a329f14.pdf befe440069e6bace89afe4b82affe92d 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 Demand Creation for COVID-19 Vaccination: Overcoming Vaccine Hesitancy through Social Marketing Creator An entity primarily responsible for making the resource William Douglas Evans, Jeff French Description An account of the resource The COVID-19 pandemic has led to millions of deaths and tested the capabilities of the medical and public health systems worldwide. Over the next two years as more approved vaccines are made available and supply meets or exceeds demand, medical and public health professionals will increasingly be faced with the challenge of vaccine hesitancy. There is an urgent need to create demand in groups that are either uninformed, vaccine hesitant, or actively resistant to COVID-19 vaccination. This study reviews theory, evidence, and practice recommendations to develop a vaccine demand creation strategy that has wide applicability. Specifically, we focus on key elements including supply side confidence, vaccine brand promotion strategy, service marketing as it relates to vaccine distribution, and competition strategy. We present evidence that these strategies can make a significant contribution to overcoming COVID-19 hesitancy in a high supply scenario. The paper also makes recommendations about factors that need to be considered in relation to vaccine delivery services and systems that, if done badly, may reduce uptake or result in the creation of more vaccine hesitancy. In summary, there is a need for well researched and tested demand creation strategies that integrate with brand strategy, supply side, and service delivery. 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, Vaccination, health communication, social marketing, Vaccine hesitancy, demand creation Identifier An unambiguous reference to the resource within a given context 10.3390/vaccines9040319 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 https://www.socictopen.socict.org/files/original/bb5a911d6fbbee7c8dac2606b4ce9c46.pdf 98c2b71250564fd44d54b8b5e936ae40 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 Humoral immunogenicity of the seasonal influenza vaccine before and after CAR-T-cell therapy. Creator An entity primarily responsible for making the resource Jesse D Bloom, Carla S Walti, Andrea N Loes, Kiel Shuey, Elizabeth M Krantz, Jim Boonyaratanakornkit, Jacob Keane-Candib, Tillie Loeffelholz, Caitlin R Wolf, Justin J Taylor, Rebecca A Gardner, Damian J Green, Andrew J Cowan, David G Maloney, Cameron J Turtle, Steven A Pergam, Helen Y Chu, Joshua A Hill Description An account of the resource Recipients of chimeric antigen receptor-modified T (CAR-T) cell therapies for B-cell malignancies are immunocompromised and at risk for serious infections. Vaccine immunogenicity is unknown in this population. We conducted a prospective observational study of the humoral immunogenicity of 2019-2020 inactivated influenza vaccines (IIV) in children and adults immediately prior to (n=7) or 13-57 months after (n=15) CD19-, CD20-, or BCMA-targeted CAR-T-cell therapy, as well as controls (n=8). Individuals post-CAR-T-cell therapy were in remission. We tested for antibodies to 4 vaccine strains at baseline and ≥1 time point after IIV using neutralization and hemagglutination inhibition assays. An antibody response was defined as a ≥4-fold titer increase from baseline at the first post-vaccine time point. Baseline A(H1N1) titers in the CAR-T cohorts were significantly lower compared to controls. Antibody responses to ≥1 vaccine strain occurred in 2 (29%) individuals before CAR-T-cell therapy; one individual maintained a response for >3 months post-CAR-T-cell therapy. Antibody responses to ≥1 vaccine strain occurred in 6 (40%) individuals vaccinated after CAR-T-cell therapy. An additional 2 (29%) and 6 (40%) individuals had ≥2-fold increases (at any time) in the pre- and post-CAR-T cohorts, respectively. There were no identified clinical or immunologic predictors of antibody responses. Neither severe hypogammaglobulinemia nor B-cell aplasia precluded antibody responses. These data support consideration for vaccination before and after CAR-T-cell therapy for influenza and other relevant pathogens such as SARS-CoV-2, irrespective of hypogammaglobulinemia or B-cell aplasia. Larger studies are needed to determine correlates of vaccine immunogenicity and durability in CAR-T-cell therapy recipients. Influenza vaccination was immunogenic pre- and post-CAR-T-cell therapy, despite hypogammaglobulinemia and B-cell aplasia.Vaccination with inactivated vaccines can be considered before CAR-T-cell therapy and in individuals with remission after therapy. 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 10.1101/2021.05.10.21256634 Source A related resource from which the described resource is derived medRxiv : the preprint server for health sciences https://www.socictopen.socict.org/files/original/0adc63e8c87bd51c1c8a2a7b47183565.pdf 3cb73109f450b0658a2ab5ab6e4a8452 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 Updated and Validated Pan-Coronavirus PCR Assay to Detect All Coronavirus Genera Creator An entity primarily responsible for making the resource Neeltje van Doremalen, Vincent J. Munster, Myndi G. Holbrook, Simon J. Anthony, Isamara Navarrete-Macias, Theo Bestebroer Description An account of the resource Coronavirus (CoV) spillover events from wildlife reservoirs can result in mild to severe human respiratory illness. These spillover events underlie the importance of detecting known and novel CoVs circulating in reservoir host species and determining CoV prevalence and distribution, allowing improved prediction of spillover events or where a human–reservoir interface should be closely monitored. To increase the likelihood of detecting all circulating genera and strains, we have modified primers published by Watanabe et al. in 2010 to generate a semi-nested pan-CoV PCR assay. Representatives from the four coronavirus genera (α-CoVs, β-CoVs, γ-CoVs and δ-CoVs) were tested and all of the in-house CoVs were detected using this assay. After comparing both assays, we found that the updated assay reliably detected viruses in all genera of CoVs with high sensitivity, whereas the sensitivity of the original assay was lower. Our updated PCR assay is an important tool to detect, monitor and track CoVs to enhance viral surveillance in reservoir hosts. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource coronavirus, reservoir host, PCR, Pandemic, detection, pan-CoV PCR Identifier An unambiguous reference to the resource within a given context 10.3390/v13040599 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 Microbiology https://www.socictopen.socict.org/files/original/430cf49904e6da4030eaa5d73160b869.pdf 680d4d875225588b8443dabfbe3972c3 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 Vaccine Hesitancy among Young Adults in Saudi Arabia: A Cross-Sectional Web-Based Study Creator An entity primarily responsible for making the resource Dalia Almaghaslah, Abdulrhman Alsayari, Geetha Kandasamy, Rajalakshimi Vasudevan Description An account of the resource Ending the COVID-19 pandemic requires achieving herd immunity, either by previous infection or by vaccination. However, concerns about the COVID-19 vaccine are growing around the globe. The current study was conducted to investigate young the adult population’s hesitancy towards the vaccine. The study used a prospective cross-sectional design. Data was collected using an online self-administered questionnaire. A total of 862 Saudi adults participated. Information was gathered on the participants’ perspectives towards the severity and susceptibility of the COVID-19 infection, reasons for their hesitancy to receive the vaccine, perceived benefits, and reasons for action. Just under a quarter (19.6%) of respondents had previously tested positive for COVID-19. A small minority of the participants had already received the vaccine (2.1%), while 20.3% had registered in the Sehaty app (application) to receive the vaccine. Just under half of them (48%) will take the vaccine when mass vaccination is achieved and approximately the same number (46.7%) will only take it if it is made mandatory. Vaccine reluctance is highly prevalent among the general public in Saudi Arabia during the COVID-19 pandemic. While many are aware of a high likelihood of getting the infection, the efficacy and safety of the COVID-19 vaccine were reported as barriers to vaccination. 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, Vaccination hesitancy, Saudi Arbia, vaccine reluctance Identifier An unambiguous reference to the resource within a given context 10.3390/vaccines9040330 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