Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 22
Filter
1.
Infomat ; 2023.
Article in English | Web of Science | ID: covidwho-2173013

ABSTRACT

As the COVID-19 pandemic evolves and new variants emerge, the development of more efficient identification approaches of variants is urgent to prevent continuous outbreaks of SARS-CoV-2. Field-effect transistors (FETs) with two-dimensional (2D) materials are viable platforms for the detection of virus nucleic acids (NAs) but cannot yet provide accurate information on NA variations. Herein, 2D Indium selenide (InSe) FETs were used to identify SARS-CoV-2 variants. The device's mobility and stability were ensured by atomic layer deposition (ALD) of Al2O3. The resulting FETs exhibited sub-fM detection limits ranging from 10(-14) M to 10(-)(8) M. The recognition of single-nucleotide variations was achieved within 15 min to enable the fast and direct identification of two core mutations (L452R, R203M) in Delta genomes (p < .01). Such capability originated from the trap states in oxidized InSe (InSe1-xOx) after ALD, resulting in traps-involved carrier transport responsive to the negative charges of NAs. In sum, the proposed approach might highly provide epidemiological information for timely surveillance of the COVID pandemic.

2.
European Journal of Clinical Investigation ; : e13955, 2023.
Article in English | MEDLINE | ID: covidwho-2192546

ABSTRACT

BACKGROUND: According to current studies, more than 20% of all patients diagnosed with COVID-19 globally have diabetes. Further, the mortality rate of these patients is 7.3%. Compared with non-diabetic COVID-19 patients, diabetic COVID-19 patients have higher rates of mortality and severe infection, suggesting that diabetes is associated with the severity of COVID-19 infection. This study aimed to analyze the relationship and susceptibility factors between COVID-19 and T2DM.

3.
Sci Rep ; 13(1):774, 2023.
Article in English | PubMed | ID: covidwho-2186078

ABSTRACT

Treatment of COVID-19 with a soluble version of ACE2 that binds to SARS-CoV-2 virions before they enter host cells is a promising approach, however it needs to be optimized and adapted to emerging viral variants. The computational workflow presented here consists of molecular dynamics simulations for spike RBD-hACE2 binding affinity assessments of multiple spike RBD/hACE2 variants and a novel convolutional neural network architecture working on pairs of voxelized force-fields for efficient search-space reduction. We identified hACE2-Fc K31W and multi-mutation variants as high-affinity candidates, which we validated in vitro with virus neutralization assays. We evaluated binding affinities of these ACE2 variants with the RBDs of Omicron BA.3, Omicron BA.4/BA.5, and Omicron BA.2.75 in silico. In addition, candidates produced in Nicotiana benthamiana, an expression organism for potential large-scale production, showed a 4.6-fold reduction in half-maximal inhibitory concentration (IC(50)) compared with the same variant produced in CHO cells and an almost six-fold IC(50) reduction compared with wild-type hACE2-Fc.

4.
Advances in Radiation Oncology ; 8(1), 2023.
Article in English | Web of Science | ID: covidwho-2121741

ABSTRACT

Purpose: Herein we report the clinical and dosimetric experience for patients with metastases treated with palliative simulation-free radiation therapy (SFRT) at a single institution. Methods and Materials: SFRT was performed at a single institution. Multiple fractionation regimens were used. Diagnostic imaging was used for treatment planning. Patient characteristics as well as planning and treatment time points were collected. A matched cohort of patients with conventional computed tomography simulation radiation therapy (CTRT) was acquired to evaluate for differences in planning and treatment time. SFRT dosimetry was evaluated to determine the fidelity of SFRT. Descriptive statistics were calculated on all variables and statistical significance was evaluated using the Wilcoxon signed rank test and t test methods. Results: Thirty sessions of SFRT were performed and matched with 30 sessions of CTRT. Seventy percent of SFRT and 63% of CTRT treatments were single fraction. The median time to plan generation was 0.88 days (0.19-1.47) for SFRT and 1.90 days (0.39-5.23) for CTRT (P = .02). The total treatment time was 41 minutes (28-64) for SFRT and 30 minutes (21-45) for CTRT (P = .02). In the SFRT courses, the maximum and mean deviations in the actual delivered dose from the approved plans for the maximum dose were 4.1% and 0.07%, respectively. All deliveries were within a 5% threshold and deemed clinically acceptable. Conclusions: Palliative SFRT is an emerging technique that allowed for a statistically significant lower time to plan generation and was dosimetrically acceptable. This benefit must be weighed against increased total treatment time for patients receiving SFRT compared (c) 2022 The Author(s). Published by Elsevier Inc. on behalf of American Society for Radiation Oncology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

5.
Sustainability ; 14(14):18, 2022.
Article in English | Web of Science | ID: covidwho-1979361

ABSTRACT

Vaccine hesitancy plays a key role in vaccine delay and refusal, but its measurement is still a challenge due to multiple intricacies and uncertainties in factors. This paper attempts to tackle this problem through fuzzy cognitive inference techniques. Firstly, we formulate a vaccine hesitancy determinants matrix containing multi-level factors. Relations between factors are formulated through group decision-making of domain experts, which results in a fuzzy cognitive map. The subjective uncertainty of linguistic variables is expressed by fuzzy numbers. A double-weighted method is designed to integrate the distinguished decisions, in which the subjective hesitancy is considered for each decision. Next, three typical scenarios are constructed to identify key and sensitive factors under different experimental conditions. The experimental results are further discussed, which enrich the approaches of vaccine hesitancy estimation for the post-pandemic global recovery.

6.
Journal of Chromatographic Science ; 01:01, 2022.
Article in English | MEDLINE | ID: covidwho-1973113

ABSTRACT

Jinhongtang granule (JHT) is a traditional Chinese medicine formula used for treatment of infection diseases including severe COVID-19. However, pharmacokinetics of JHT was unknown, especially in infection condition. A liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed to simultaneously quantify ten active components form JHT in rat plasma. MS detection was performed by MRM scanning operating in the negative ionization mode. The method showed good linearity (r > 0.997). The accuracy, precision, matrix effect, recovery and stability were all satisfactory with current criterion. The method was successfully applied to compare the pharmacokinetic difference between normal and sepsis rats. The pharmacokinetic behaviors of analytes in sepsis rats were significantly different from those in normal rats. Cmax and AUC of rhein, emodin, aloe emodin, rhein-8-glucoside, aloe emodin 8-glucoside, protocatechuic acid, epicatechin and salidroside, were significantly increased in sepsis rats, except for 4-hydroxycinnamic acid and ferulic acid. In vitro intestinal absorption study using everted intestinal sac preparations indicated that the intestinal permeability was altered under sepsis. In conclusion, pharmacokinetic difference of JHT between normal and sepsis rats were evaluated for the first time, which provided useful information for the clinical application of JHT as an integrative therapy for severe and critical COVID-19.

7.
FRONTIERS IN ENVIRONMENTAL SCIENCE ; 10, 2022.
Article in English | Web of Science | ID: covidwho-1911031

ABSTRACT

After the COVID-19 pandemic began in 2020, Urumqi, a remote area in northwest China, experienced two lockdowns, in January and July 2020. Based on ground and satellite observations, this study assessed the impacts of these lockdowns on the air quality in Urumqi and the seasonal differences between them. The results showed that, during the wintertime lockdown, PM10, PM2.5, NO2, CO, and SO2 levels decreased by 38, 40, 45, 27, 8%, respectively, whereas O-3 concentrations increased by 113%. During the summer lockdown, PM10, PM2.5, NO2, CO, and SO2 levels decreased by 39, 24, 59, 2, and 13%, respectively, and the O-3 concentrations increased by 21%. During the lockdowns, the NO2 concentrations decreased by 53% in winter and 13% in summer in the urban areas, whereas they increased by 23% in winter and 9% in summer in the suburbs. Moreover, large seasonal differences were observed between winter and summer SO2, CO, and O-3. The lockdown played a vital role in the rapid decline of primary air pollutant concentrations, along with fewer meteorological impacts on air pollution changes in this area. The increase in O-3 concentrations during the COVID-19 lockdowns reflects the complexity of air quality changes during reductions in air pollutant emissions.

8.
The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLIII-B4-2022:195-202, 2022.
Article in English | ProQuest Central | ID: covidwho-1876035

ABSTRACT

The COVID-19 epidemic has posed a grave threat to human life. The stay-at-home quarantine is an effective method of minimizing physical contact and the risk of COVID-19 transmission. However, the supply of living materials (such as meat, vegetables, grain, and oil) has become a great challenge as residents' activities have been restricted. In this paper, we present a spatial analysis framework for the supply of living materials during COVID-19 outbreak by coupling an infectious disease model with geographic information system (GIS). First, a virus spreading spatial simulation model is developed by combining cellular automata (CA) and Susceptible-Exposed-Infected-Recovered-Death (SEIRD) to estimate COVID-19's spreading under various scenarios. Second, the demand and supply of living materials in the impacted residents are calculated. Finally, the imbalance of the supply and demand of the living materials is assessed. We conduct experiments in Shenzhen. The experimental results show that localities with supply-demand mismatches are primarily concentrated in the southwest of Bao'an District, the southern of Longhua District, and Longgang District. Additionally, the spatial distribution of the mismatch level between supply and demand for living materials in Shenzhen exhibits a significant agglomeration effect, manifested as "low-low" and "high-high" agglomeration. The spatial agglomeration effect of material mismatch has increased with the spread of the epidemic. These results support the prevention and control of the COVID-19 spreading.

9.
Journal of Materials Chemistry C ; : 9, 2022.
Article in English | Web of Science | ID: covidwho-1655684

ABSTRACT

The typical mode of interaction between humans and machines in current intelligent equipment and personalized health care systems is mainly contact-type. However, there are severe problems associated with direct contact, such as uncomfortable wear and cross-infection of bacteria or viruses, especially under global pandemic conditions (e.g., COVID-19, MERS-CoV). In this study, a flexible humidity sensor is developed based on alkalized MXenes and polydopamine (PDA). The unique accordion-like hierarchical structure of the alkalized MXenes with large specific surface area and the chemical structure of the abundant water-absorbing functional groups of PDA wrapped on the MXene surface contribute synergistically to the outstanding performance of the sensor, which has high sensitivity, rapid response, and large detection range. The device was successfully used to control a noncontact switch system based on the distance of the fingertip and monitor different breathing patterns of a volunteer from a long range, proving its potential application in future noncontact human-machine interaction and human physiology monitoring.

10.
International Journal of Clinical Pharmacy ; 43(6):1798-1799, 2021.
Article in English | Web of Science | ID: covidwho-1557989
11.
Journal of Physics D-Applied Physics ; 55(9):13, 2022.
Article in English | Web of Science | ID: covidwho-1550510

ABSTRACT

Under the pressures of the current global pandemic, researchers have been working hard to find a reliable way to suppress infection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and prevent the spread of COVID-19. Studies have shown that the recognition and binding of human angiotensin-converting enzyme 2 by the receptor-binding domain (RBD) of the spike protein on the surface of SARS-CoV-2 is a crucial step in viral invasion of human receptor cells, and blocking this process could inhibit the virus from invading normal human cells. Plasma treatment can disrupt the structure of the RBD and effectively block the binding process. However, the mechanism by which plasma blocks recognition and binding is not clear. In this study, the reaction between reactive oxygen species (ROS) in plasma and a molecular model of the RBD was simulated using a reactive molecular dynamics method. The results showed that the destruction of the RBD by ROS was triggered by hydrogen ion reactions: O and OH ed H atoms from the RBD, while the H atoms of H2O2 and HO2 were ed by the RBD. This hydrogen ion resulted in the breakage of C-H, N-H, O-H and C=O bonds and the formation of C=C and C=N bonds. The addition reaction of OH increased the number of O-H bonds and caused the formation of C-O, N-O and O-H bonds. The dissociation of N-H bonds led to the destruction of the original peptide bond structure and amino acid residues, changed the type of amino acid residues and caused the conversion of N-C and N=C and C=O and C-O. The simulation partially elucidated the microscopic mechanism of the interaction between ROS in plasma and the capsid protein of SARS-CoV-2, providing theoretical support for the control of SARS-CoV-2 infection by plasma, a contribution to overcoming the global pandemic.

12.
Annals of Clinical & Laboratory Science ; 51(5):686-693, 2021.
Article in English | MEDLINE | ID: covidwho-1481764

ABSTRACT

OBJECTIVE: To investigate the role of Sirtuin 3 (SIRT3) in COVID-19 patients. METHODS: This retrospective study included 97 patients with COVID-19 who were admitted to the Second People's Hospital of Xiangzhou District in Xiangyang City, Hubei Province, China from January 29, 2020 to March 15, 2020. The blood samples of the patients were obtained within 24 hours of admission. The serum levels of SIRT3 were measured by enzyme linked immunosorbent assay (ELISA). Patients received a routine whole blood test, blood gas assay, electrolyte analysis, and coagulation analysis, and all data were recorded and collected. The clinical characteristics and outcomes of all patients were collected, including age, BMI, sex, medical history, complications, temperature, and imaging results. RESULTS: The severe COVID-19 patients showed significantly higher mean temperature, hospitalization duration, CT score, and ratio of cough, fatigue, dyspnea, and ground glass lesions on CT, as well as significantly higher levels of C reactive protein (CRP), procalcitonin (PCT), activated partial thromboplastin time (APTT), and D-dimer. SIRT3 levels were markedly lower in the severe patients compared with the mild/moderate patients and were negatively correlated with the levels of CRP and PCT. Patients with lower SIRT3 showed significantly higher temperature, duration, ratio of ground glass lesion on CT, and CT score, as well as higher expression of CRP and APTT. The ROC curve showed that SIRT3 had the potential for the prediction of different severities of COVID-19. The binary regression analysis showed that temperature, hospitalization, CT score, CRP, PCT, APTT, and D-dimer were independent risk factors for severe COVID-19. CONCLUSION: Serum SIRT3 levels were associated with the clinical outcome and prognosis of COVID-19 patients. However, SIRT3 is not an independent risk factor for severe COVID-19.

13.
Huanjing Kexue Xuebao/Acta Scientiae Circumstantiae ; 41(9):3709-3716, 2021.
Article in Chinese | Scopus | ID: covidwho-1478500

ABSTRACT

Using air quality monitoring data, surface meteorological observational data, meteorological environment assessment index (EMI-index) products, National Centers for Environmental Prediction (NCEP) reanalysis data and output of the Weather Research and Forecasting model coupled to Chemistry (WRF-Chem) from 2015 to 2020 in Shenyang, we analyzed the variation of criteria air pollutants and meteorological elements in Shenyang during the epidemic of COVID-19 and evaluated the response of air quality to emission reduction and meteorological conditions. The results showed that mass concentrations of PM2.5, PM10, and NO2 in Shenyang during the epidemic of COVID-19 decreased, while O3 concentration slightly increased. PM2.5 and NO2 were more sensitive to anthropogenic emission reduction. PM2.5 concentration decreased by 16.37% due to meteorological conditions and by 22.96% due to the prevention and control measures. Under the background of prevention and control measures, adverse meteorological conditions and sudden enhancement in pollutant emissions caused heavy pollution periods, among which adverse meteorological conditions played a more important role. Meanwhile, the emission reduction measures significantly weakened the peak of pollutant concentration in heavy pollution events. © 2021, Science Press. All right reserved.

14.
Zhonghua Liu Xing Bing Xue Za Zhi ; 42(8): 1371-1375, 2021 Aug 10.
Article in Chinese | MEDLINE | ID: covidwho-1468526

ABSTRACT

Human challenge trial (HCT) is a test in which human volunteers are intentionally infected with pathogens in order to evaluate the efficacy of candidate preventive or therapeutic drugs. During the COVID-19 pandemic, the HCT of vaccines has aroused people's attention due to its significant advantages over clinical trial. This paper introduces the concept, development and application of HCT, the advantages and limitations of HCT for vaccine evaluation, and the consideration of future HCT of COVID-19 vaccine in China.


Subject(s)
COVID-19 , Vaccines , COVID-19 Vaccines , Humans , Pandemics , SARS-CoV-2
15.
Sage Open ; 11(3):16, 2021.
Article in English | Web of Science | ID: covidwho-1390479

ABSTRACT

Conformity consumer behavior refers to a preference of using the behaviors or expectations of others as a guideline for one's own consumption patterns. Significant characteristics of conformity consumer behavior have been observed during the COVID-19 pandemic, and it has greatly hindered resource allocation and pandemic management. Nonetheless, the reasons why a public health emergency, exemplified by COVID-19, triggers conformity consumer behavior remain unclear. This study proposes and tests a theoretical framework to explore the psychological mechanisms of conformity consumer behavior during the COVID-19 pandemic. Results indicate that pandemic severity positively affect conformity consumer behavior, sense of fear plays a mediating role between pandemic severity and conformity consumer behavior, and sense of control does not play a moderating role. This implies that fear drives conformity consumer behavior and people may tend to consume in this way when they perceive a strong sense of fear no matter how strong their sense of control is. The conclusion will help managers to guide consumer behavior during social crisis and emergencies.

16.
Urban Climate ; 38, 2021.
Article in English | Scopus | ID: covidwho-1316651

ABSTRACT

Quantifying the variations of atmospheric aerosols and trace gas concentrations with the impact of lockdown due to the Coronavirus disease of 2019 (COVID-19) pandemic is crucial in understanding urban air quality. For this purpose, we utilized the multi-instrumental approach of satellite remote sensing and reanalysis model data to examine the spatial and temporal patterns of major air pollutants during December 2019–June 2020 in South Asia. The lockdown has to lead to a considerable decrease in aerosol optical thickness (AOT) over South China (−18.92%) and Indo-Gangetic Plain (IGP;−24.29%) compared to its ordinary level for a couple of weeks. Noticeable reductions in tropospheric NO2 are observed over the Pearl River Delta (PRD;−0.3/cm2) followed by Central China (CC) with −0.21/cm2and IGP (−0.085/cm2), and the lowest (−0.0008/cm2) in the Tibetan Plateau (TP) region. The changes observed in PM2.5 and SO2 levels (from −58.56% to - 63.64%) are attributed to the decrease in anthropogenic emissions, vehicular exhaust, and industrial activities. However, the BC concentrations are reduced by approximately halved of its ordinary levels in the IGP (−2.28 μg/m3) followed by YRD (−1.56 μg/m3), CC (−1.5 μg/m3), NCP (−1.29 μg/m3), and PRD (−0.78 μg/m3) regions. The total column O3 predominantly increased from 262.68 to 285.53DU, 323.00 to 343.00DU, and 245.00 to 265.00DU in the YRD, NCP, and IGP areas. This is mainly associated with solar radiation, meteorological factors, and an unprecedented reduction in NOx during the lockdown period. © 2021 Elsevier B.V.

17.
Empirical Studies of Translation and Interpreting: The Post-Structuralist Approach ; : 259-279, 2021.
Article in English | Scopus | ID: covidwho-1306273
18.
Aerosol and Air Quality Research ; 21(6):18, 2021.
Article in English | Web of Science | ID: covidwho-1266827

ABSTRACT

The present study utilized multi-sensory gridded and reanalysis data in conjunction with the meteorological variables to evaluate the impact of lockdown due to the Coronavirus disease of 2019 (COVID-19) pandemic on the changes of concentration of atmospheric pollutants in Pakistan. We focused on assessing the significant changes of pollutant concentrations during March-May for the years 2019 and 2020 utilizing the satellite datasets observed from the Moderate Resolution Imaging Spectroradiometer (MODIS), Ozone Monitoring Instrument (OMI), Atmospheric Infrared Sounder (AIRS), and Modern-Era Retrospective analysis for Research and Applications (MERRA-2) reanalysis data. Low pollution levels were observed throughout the COVID-19 (March 25-May 31, 2020) compared to a similar period in 2019. The association of meteorology with air pollutants found that the periods of enhanced temperature and relative humidity likely contributed to a cleaner environment over the Indus Basin Region (IBR) and Balochistan Plateau (BP). The decrease in the mean planetary boundary layer Sulphur dioxide (SO2) during the lockdown period of 2020 (DLP-2020) was evident by -36% in BP, -34% in Khyber Pakhtunkhwa (KPK), and -15.15% in IBR when compared to before the lockdown period of 2019 (BLP-2019). This is attributed to the limited transportation and control action plans of industrial activities including combustion sources taken by the Government of Pakistan for the DLP-2020 phase. During DLP-2020, a variable and least significant decline in surface particulate matter of size 2.5 mu m (PM2.5) concentration was observed in the urban regions of KPK (-19.17%) followed by IBR (-0.82%) and BP (-0.26%). Overall, a considerable reductions in Carbon monoxide (CO) and black carbon (BC) concentrations were smaller in rural and suburban areas of BP (-3.61%, -8.57%) followed by KPK (-0.79%, -11.39%) and IBR (-3.30%, -11.39%), respectively. This is due to the reduction in local emissions related to the lockdown measures taken in the control of pandemic. However, the ozone (O-3) concentrations witnessed an increase to a lower extent as 11.39%, 5.78%, and 4.74% in KPK, BP, and IBR, respectively attributed to rising in solar radiation intensity and temperature in hot summers, and decrease in NOx levels during the study period.

19.
Topics in Antiviral Medicine ; 29(1):28, 2021.
Article in English | EMBASE | ID: covidwho-1249933

ABSTRACT

Background: Home delivery and monitoring of antiretroviral therapy (ART) is convenient, overcomes logistic barriers, and could increase ART adherence and viral suppression particularly among men who engage less in clinic-based HIV care than women. If clients pay for this service and the benefits are sufficient, it could be a scalable strategy. Methods: We conducted a randomized trial, the Deliver Health Study, of a fee for home delivery and monitoring of ART compared to clinic ART delivery in Pietermaritzburg, KwaZulu Natal, South Africa. People living with HIV on ART or willing to initiate ART in the community were recruited through communitybased testing or from facilities and randomized to: 1) fee for home delivery and monitoring of ART;or 2) clinic-based ART (standard of care). The one-time fee for home delivery was tiered based on participant income (ZAR 30, 60, and 90;equivalent to $2, 4, 6). The outcomes were payment of the fee for home delivery;acceptability of the delivery service;and viral suppression, assessed using loglinear regression adjusting for gender and age. Results: From October 2019-January 2020, 400 persons were screened;of the 180 persons living with HIV, 162 were enrolled - 82 randomized to the fee for home delivery group and 80 to the standard of care group. Overall, 87 participants (54%) were men, 22% were <30 years, 101 (62%) were on ART, and 98 (60%) were unemployed. Among participants in the fee for home delivery group, 40 (49%), 32 (40%), and 9 (11%) were in the ZAR 30, 60, and 90 fee groups, respectively. Median follow-up was 47 weeks (IQR 43-50 weeks) spanning COVID-19 restrictions. Retention at exit was 96%. In the fee payment group, 98% of participants paid the full user fee and acceptability was high with 100% reporting willingness to continue to pay a fee. Compared to standard clinic care, in the intent-to-treat analysis, fee for home delivery of ART significantly increased viral suppression from 74% to 88% (RR=1.21, 95% CI: 1.02-1.42) with a RR of 1.31 among men;fee group (84%, RR=1.31, 95% CI: 1.01-1.71) compared to standard of care (64%). Conclusion: Among South African adults living with HIV on ART or initiating ART, a fee for home delivery and monitoring of ART significantly increased viral suppression compared to clinic-based ART. Client payment of a fee for home delivery and monitoring of ART was highly acceptable in the context of low income and high unemployment, and improved health outcomes as a result.

20.
Proceedings of the Vldb Endowment ; 13(12):2841-2844, 2020.
Article in English | Web of Science | ID: covidwho-1031191

ABSTRACT

Spatio-temporal data analysis is very important in many time-critical applications. We take Coronavirus disease (COVID-19) as an example, and the key questions that everyone will ask every day are: how does Coronavirus spread? where are the high-risk areas? where have confirmed cases around me? Interactive data analytics, which allows general users to easily monitor and explore such events, plays a key role. However, some emerging cases, such as COVID-19, bring many new challenges: (C1) New information may come with different formats: basic structured data such as confirmed/suspected/serious/death/recovered cases, unstructured data from newspapers for travel history of confirmed cases, and so on. (C2) Discovering new insights: data visualization is widely used for storytelling;however, the challenge here is how to automatically find "interesting stories", which might be different from day to day. We propose DEEPTRACK, a system that monitors spatio-temporal data, using the case of COVID-19. For (C1), we describe (a) how we integrate and clean data from different sources by existing modules. For (C2), we discuss (b) how to build new modules for ad-hoc data sources and requirements, (c) what are the basic (or static) charts used;and (d) how to generate recommended (or dynamic) charts that are based on new incoming data. The attendees can use DeepTrack to interactively explore various COVID-19 cases.

SELECTION OF CITATIONS
SEARCH DETAIL