Yuanrong Wang
A5079237967- COVID-19 epidemiological studies
- Complex Systems and Time Series Analysis
- COVID-19 Pandemic Impacts
- Stochastic processes and financial applications
- Viral Infections and Outbreaks Research
- COVID-19 Clinical Research Studies
- COVID-19 and Mental Health
- Financial Risk and Volatility Modeling
- Stock Market Forecasting Methods
- SARS-CoV-2 and COVID-19 Research
- Energy Load and Power Forecasting
- Vaccine Coverage and Hesitancy
- Advanced Graph Neural Networks
- Financial Markets and Investment Strategies
- COVID-19 and healthcare impacts
- COVID-19 Digital Contact Tracing
- Distributed Control Multi-Agent Systems
- Market Dynamics and Volatility
- Traffic Prediction and Management Techniques
- Robotic Path Planning Algorithms
- Topological and Geometric Data Analysis
- Influenza Virus Research Studies
- SARS-CoV-2 detection and testing
- Electric Power System Optimization
- Cerebrovascular and genetic disorders
First Affiliated Hospital of Fujian Medical University
2025
Fujian Medical University
2025
Shanghai Ocean University
2024
University College London
2022-2023
Imperial College London
2020-2022
London Centre for Neglected Tropical Disease Research
2020-2021
London School of Hygiene & Tropical Medicine
2020
Medical Research Council
2020
Institut de Recherche Vaccinale
2020
Brown University
2020
BackgroundIn the face of rapidly changing data, a range case fatality ratio estimates for coronavirus disease 2019 (COVID-19) have been produced that differ substantially in magnitude. We aimed to provide robust estimates, accounting censoring and ascertainment biases.MethodsWe collected individual-case data patients who died from COVID-19 Hubei, mainland China (reported by national provincial health commissions Feb 8, 2020), cases outside (from government or ministry websites media reports...
Global prospects for COVID-19 control Lower-income countries have recognized the potential impact of coronavirus disease 2019 (COVID-19) from observing ongoing epidemics. Many intervened quickly and early with measures to slow viral transmission, which may partly explain low rates observed so far in these countries. Walker et al. calibrated a global model country-specific data (see Perspective by Metcalf ). Despite potentially protective effects younger demographics, closer intergenerational...
SummaryBackgroundCOVID-19 has the potential to cause substantial disruptions health services, due cases overburdening system or response measures limiting usual programmatic activities. We aimed quantify extent which services for HIV, tuberculosis, and malaria in low-income middle-income countries with high burdens of these diseases could lead additional loss life over next 5 years.MethodsAssuming a basic reproduction number 3·0, we constructed four scenarios possible responses COVID-19...
Summary Background A range of case fatality ratio (CFR) estimates for COVID-19 have been produced that differ substantially in magnitude. Methods We used individual-case data from mainland China and cases detected outside to estimate the time between onset symptoms outcome (death or discharge hospital). next obtained age-stratified CFR by relating aggregate distribution dates observed cumulative deaths China, assuming a constant attack rate age adjusting demography population, age-...
WHO has called for increased testing in response to the COVID-19 pandemic, but countries have taken different approaches and effectiveness of alternative strategies is unknown. We aimed investigate potential impact isolation on transmission severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
<ns4:p><ns4:bold>Background</ns4:bold>: The COVID-19 epidemic was declared a Global Pandemic by WHO on 11 March 2020. By 24 2020, over 440,000 cases and almost 20,000 deaths had been reported worldwide. In response to the fast-growing epidemic, which began in Chinese city of Wuhan, Hubei, China imposed strict social distancing Wuhan 23 January 2020 followed closely similar measures other provinces. These interventions have impacted economic productivity China, ability economy resume without...
<ns4:p><ns4:bold>Background</ns4:bold>: The COVID-19 epidemic was declared a Global Pandemic by WHO on 11 March 2020. By 24 2020, over 440,000 cases and almost 20,000 deaths had been reported worldwide. In response to the fast-growing epidemic, which began in Chinese city of Wuhan, Hubei, China imposed strict social distancing Wuhan 23 January 2020 followed closely similar measures other provinces. These interventions have impacted economic productivity China, ability economy resume without...
Italy was the first European country to experience sustained local transmission of COVID-19. As 1st May 2020, Italian health authorities reported 28,238 deaths nationally. To control epidemic, government implemented a suite non-pharmaceutical interventions (NPIs), including school and university closures, social distancing full lockdown involving banning public gatherings non essential movement. In this report, we model effect NPIs on using data average mobility. We estimate that...
Market conditions change continuously. However, in portfolio investment strategies, it is hard to account for this intrinsic non-stationarity. In paper, we propose address issue by using the Inverse Covariance Clustering (ICC) method identify inherent market states and then integrate such into a dynamic optimization process. Extensive experiments across three different markets, NASDAQ, FTSE HS300, over period of ten years, demonstrate advantages our proposed algorithm, termed...
1 Abstract Brazil is currently reporting the second highest number of COVID-19 deaths in world. Here we characterise initial dynamics across country and assess impact non-pharmaceutical interventions (NPIs) that were implemented using a semi-mechanistic Bayesian hierarchical modelling approach. Our results highlight significant these NPIs had states, reducing an average R t > 3 to 1.5 by 9-May-2020, but failed reduce < 1, congruent with worsening epidemic has experienced since. We...
ABSTRACT Background Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common hereditary cerebral small vessel disease (CSVD). Intracerebral hemorrhage (ICH) reported to be increasing in CADASIL patients from areas where p.R544C mutation prevalent (e.g., Jeju Chinese Taiwan) but rare Caucasians. We attempted determine potentially genetic, clinical, and/or neuroimaging risk factors for ICH patients. Methods This retrospective...
ObjectivesIn this data collation study, we aimed to provide a comprehensive database describing the epidemic trends and responses during first wave of coronavirus disease 2019 (COVID-19) throughout main provinces in China.MethodsFrom mid-January March 2020, extracted publicly available regarding spread control COVID-19 from 31 provincial health authorities major media outlets mainland China. Based on these data, conducted descriptive analyses six most-affected provinces.ResultsSchool...
The deluge of genomics data is incurring prohibitively high computational costs. As an important building block for genomic processing algorithms, FM-index search occupies most execution time in sequence alignment. Due to massive random streaming memory references relative only small amount computations, algorithm exhibits extremely low efficiency on conventional architectures. This paper proposes Niubility, accelerator Based our algorithm-architecture co-design analysis, we found that...
We estimated SARS-CoV-2 infection prevalence in cohorts of repatriated citizens from Wuhan to be 0.44% (95% CI: 0.19%-1.03%). Although not representative the wider population we believe these estimates are helpful providing a conservative estimate City, China, absence large-scale testing early epidemic.
<ns3:p><ns3:bold>Background:</ns3:bold> Since the start of COVID-19 epidemic in late 2019, there have been more than 152 affected regions and countries with over 110,000 confirmed cases outside mainland China.</ns3:p><ns3:p> <ns3:bold>Methods: </ns3:bold>We analysed among travellers from China to different countries, comparing region- country-specific rates detected per flight volume estimate relative sensitivity surveillance countries.</ns3:p><ns3:p> <ns3:bold>Results: </ns3:bold>Although...
The COVID-19 pandemic has caused severe public health consequences in the United States. In this study, we use a hierarchical Bayesian model to estimate age-specific attributable deaths over time is specified by novel non-parametric spatial approach and age, low-rank Gaussian Process (GP) projected regularised B-splines. We show that projection defines GP with attractive smoothness computational efficiency properties, derive its kernel function, discuss penalty terms induced GP. Simulation...
<ns4:p><ns4:bold>Background:</ns4:bold> As of August 2021, every region the world has been affected by COVID-19 pandemic, with more than 196,000,000 cases worldwide.</ns4:p><ns4:p> <ns4:bold>Methods: </ns4:bold>We analysed among travellers from mainland China to different regions and countries, comparing region- country-specific rates detected confirmed per flight volume estimate relative sensitivity surveillance in countries.</ns4:p><ns4:p> <ns4:bold>Results: </ns4:bold>Although travel...
We propose an architecture for multivariate time-series prediction that integrates a spatial-temporal graph neural network with filtering module which filters the inverse correlation matrix into sparse structure. In contrast existing sparsification methods adopted in networks, our model explicitly leverages to overcome low signal-to-noise ratio typical of complex systems data. present set experiments, where we predict future sales volume from synthetic dataset. The proposed displays superior...
<title>Abstract</title> This paper explores the challenges of multiple unmanned surface vehicles (USVs) to maintain formation and effectively avoid obstacles in unknown complex marine environments. To this end, a novel control strategy based on improved VSAPF method is proposed paper. The core concept apply dynamic window approach (DWA) algorithm at reference point. First, DWA improved. includes revision velocity three existing evaluation functions, while new function introduced. expands...
<title>Abstract</title> This paper explores the challenges of multiple unmanned surface vehicles (USVs) to maintain formation and effectively avoid obstacles in unknown complex marine environments. To this end, a novel control obstacle avoidance strategy based on virtual structure artificial potential field (VSAPF) approach is proposed paper. The core concept apply improved dynamic window (IDWA) algorithm at reference Vessel(VRUSV).We name IDWA-VSAPF.First, DWA improved. includes revision...
In this paper, we discuss the Dutch power market, which is comprised of a day-ahead market and an intraday balancing that operates like auction. Due to fluctuations in supply demand, there often imbalance leads different prices two markets, providing opportunity for arbitrage. To address issue, restructure problem propose collaborative dual-agent reinforcement learning approach bi-level simulation optimization European arbitrage trading. We also introduce new implementations designed...
The increasing adoption of Digital Assets (DAs), such as Bitcoin (BTC), raises the need for accurate option pricing models. Yet, existing methodologies fail to cope with volatile nature emerging DAs. Many models have been proposed address unorthodox market dynamics and frequent disruptions in microstructure caused by non-stationarity, peculiar statistics, DA markets. However, they are either prone curse dimensionality, additional complexity is required employ traditional theories, or overfit...