Publications by authors named "Benny Chung Ying Zee"

Objectives: Train an automatic retinal image analysis (ARIA) method to screen glaucomatous optic neuropathy (GON) on non-mydriatic retinal images labelled with the additional results of optical coherence tomography (OCT) and assess different models for the GON classification.

Methods: All the images were obtained from the hospital for training and 10-fold cross-validation. Two methods were used to improve the classification performance: (1) using images labelled with the additional results of OCT as the reference standard and (2) generating models using retinal features from the entire images, the region of interest (ROI) of the optic disc, and the ROI of the macula, and the combination of all the features.

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  • The study aimed to compare macular thickness measurements using two imaging methods (OCT and OCTA) in diabetic patients.
  • Despite similar macular thickness readings in most areas, the OCTA method provided quicker scans with less fixation deviation compared to OCT.
  • Using OCTA may enhance patient comfort and streamline clinical processes by reducing the need for additional scanning methods.
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  • A study in Hong Kong assessed the impact of taxing sugar-sweetened beverages (SSBs) on obesity and type 2 diabetes (T2DM) prevalence through a survey and simulation analysis.
  • The survey involved 1,000 adults who indicated their willingness to pay under different tax scenarios (5%, 10%, 40%, and 50%), leading to projections about SSB purchases and related health outcomes over a decade.
  • Results showed that higher taxation rates led to significant decreases in SSB purchases, with a notable reduction in obesity and T2DM cases, highlighting the potential of SSB taxes for improving public health in Asian contexts.
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  • Vector-borne diseases like dengue fever are spreading quickly due to changing climates, requiring further study on their transmission in South and Southeast Asia.
  • The study analyzed dengue incidence and climate data from Singapore, Sri Lanka, Malaysia, and Thailand between 2012-2020, assessing the impact of temperature and rainfall on disease transmission.
  • Projections indicated that dengue transmission potential varies by location and is most affected by middle-to-high greenhouse gas emission scenarios, highlighting the need for interventions to mitigate global warming and its impact on dengue outbreaks.
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  • The influenza virus constantly evolves to avoid human immunity, requiring annual updates of vaccine strains for effectiveness against seasonal epidemics.* -
  • A new computational method called beth-1 has been developed to forecast virus evolution and select optimal vaccine strains by analyzing mutation fitness and immune response data.* -
  • In tests, beth-1 outperformed existing methods in predicting viral changes and showed better or comparable results in neutralization experiments in mice, making it a valuable tool for selecting influenza vaccine strains.*
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  • This study evaluates how climate change affects dengue fever transmission in Singapore, Colombo, Selangor, and Chiang Mai by analyzing data from 2012 to 2020.
  • Projections indicate a significant rise in dengue cases, with the most drastic increases expected under the high-emission SSP585 scenario, especially in Chiang Mai, where the peak incidence could rise over tenfold by the 2090s.
  • Even moderate emissions (SSP126) forecast notable increases in epidemic size and longer outbreak durations across all locations, underscoring the importance of reducing greenhouse gas emissions to mitigate future dengue risks in these regions.
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  • Multi-population cohorts present a unique chance to study disease risk across diverse samples, but variations in risk factors complicate accurate predictions for complex traits.
  • The proposed Prism Vote (PV) Bayesian framework enables risk predictions by considering genetic data from different subpopulations and allows for personalized risk assessments based on individual ancestry.
  • Simulations and real-world data show that the PV framework significantly boosts prediction accuracy, especially in genetically diverse samples, enhancing the analysis of disease risk and complex traits.
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  • The study investigates how extreme weather conditions, like high temperatures and heavy rainfall, affect the risk of dengue fever in South and Southeast Asia.
  • Data from 35 locations in countries like Singapore, Malaysia, Sri Lanka, and Thailand were analyzed, focusing on weekly dengue cases and daily weather from 2012 to 2020.
  • Results indicated that extremely high temperatures increase dengue risk within a few weeks, while extreme rainfall was linked to a reduced risk; the study emphasizes the need for improved dengue control strategies in light of climate change.
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  • The study investigates how local temperature and green space affect health outcomes in Hong Kong, focusing on small geographic units and their socioeconomic characteristics.
  • A 10% increase in green space density correlates with significant decreases in non-accidental and cardiovascular disease mortality, while local temperature does not notably impact mortality rates.
  • The findings suggest that health disparities in the city are more linked to green space and socioeconomic factors than to local temperature or air pollution, highlighting the importance of the built environment in health outcomes.
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  • Timely evaluation of COVID-19 vaccines is crucial for effective pandemic response, as it helps assess their effectiveness against emerging variants of concern.
  • Analysis of 78 studies found that the genetic distance of circulating SARS-CoV-2 variants from the original vaccine strain significantly predicts vaccine effectiveness (VE), explaining over 86% of the changes in VE.
  • The VE-GD framework allows for real-time predictions of vaccine protection against new variants, helping to inform public health strategies and vaccine distribution.
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  • Coronary heart disease (CHD) is a major global health issue, particularly affecting those with cardiometabolic disorders.
  • A study at Shenzhen Traditional Chinese Medicine Hospital analyzed retinal images of 188 CHD patients and 128 controls to determine if they can predict CHD risk.
  • The results showed high accuracy in risk estimation, especially for patients with diabetes, demonstrating the potential of the ARIA algorithm as a noninvasive assessment tool for CHD risk.
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  • This study explores how local temperature and other factors, such as green space and socioeconomic status, affect mortality rates in distinct areas of Hong Kong.
  • Researchers analyzed data from 2006 to 2016, finding that socioeconomic status significantly influences the relationship between temperature and mortality, revealing a J-shaped association where mortality increases sharply at lower temperatures.
  • Ultimately, the study concludes that daily temperature fluctuations are linked to mortality rates, with geographic location playing a critical role in this relationship.
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  • The study focuses on socioeconomic vulnerability and its impact on health risks in urban areas, specifically looking at Hong Kong.
  • A two-stage method is used to analyze and categorize local geographic areas (Tertiary Planning Units) into subgroups based on their socioeconomic characteristics.
  • The research identifies five key factors related to socioeconomic vulnerability and highlights the need to monitor areas with high grassroots populations and low youth demographics, as these are linked to increased mortality rates.
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Background: Severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and coronavirus disease 2019 (COVID-19) have caused substantial public health burdens and global health threats. Understanding the superspreading potentials of these viruses are important for characterizing transmission patterns and informing strategic decision-making in disease control. This systematic review aimed to summarize the existing evidence on superspreading features and to compare the heterogeneity in transmission within and among various epidemics of SARS, MERS and COVID-19.

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Background: The elderly healthcare voucher (EHCV) scheme is expected to lead to an increase in the number of elderly people selecting private primary healthcare services and reduce reliance on the public sector in Hong Kong. However, studies thus far have reported that this scheme has not received satisfactory responses. In this study, we examined changes in the ratio of visits between public and private doctors in primary care (to measure reliance on the public sector) for different strategic scenarios in the EHCV scheme.

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To investigate the relationship between geometrical changes of retinal vessels and diabetic peripheral neuropathy (DPN), and to determine the effectiveness of retinal vascular geometry analysis and vibration perception threshold (VPT) for DPN assessment. Type 2 diabetes patients (n = 242) were categorized by stage of DPN. VPT and fundus photography was performed to obtain retinal vascular geometry parameters.

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There is limited consensus on whether metastatic patterns are correlated with prognosis and treatment efficacy in pancreatic cancer. A better understanding of clinical implication of the metastatic patterns is pivotal for therapeutic decision-making and drug development. This study included 977 patients with metastatic pancreatic cancer (MPC) in three cohorts.

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The effectiveness of seasonal influenza vaccines varies with the matching of vaccine strains to circulating strains. Based on the genetic distance of hemagglutinin and neuraminidase gene of the influenza viruses to vaccine strains, we statistically quantified the relationship between the genetic mismatch and vaccine effectiveness (VE) for influenza A/H1N1pdm09, A/H3N2 and B. We also proposed a systematic approach to integrate multiple genes and influenza types for overall VE estimation.

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Background: Due to variations in climatic conditions, the effects of meteorological factors and PM on influenza activity, particularly in subtropical regions, vary in existing literature. In this study, we examined the relationship between influenza activity, meteorological parameters, and PM .

Methods: A total of 20 165 laboratory-confirmed influenza cases in Hangzhou, Zhejiang province, were documented in our dataset and aggregated into weekly counts for downstream analysis.

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Owing to the frequent travel connections between Wuhan and Zhejiang, Zhejiang was the third worst-affected province in China with 1,205 cases confirmed before 26 February 2020. The transmissibility of the 2019 novel coronavirus disease was monitored in Zhejiang, accounting for the transmissions from imported cases. Even though Zhejiang was one of the worst-affected provinces, an interruption of disease transmission (i.

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Background: The incidence rate of measles in China reached a nadir in 2012 after 2 supplementary immunization activities (SIAs) were undertaken in 2009 and 2010. However, the disease began re-emerging in 2013, with a high prevalence rate observed in 2013-2014 in the southern province of Guangdong. In this study, we assessed the changes that occurred in measles epidemiology during 2009-2016, particularly between 2009 and 2011 (when the influence of the SIAs were in full effect) and between 2012 and 2016 (when this influence subsided).

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Background: With the increasing amount of high-throughput genomic sequencing data, there is a growing demand for a robust and flexible tool to perform interaction analysis. The identification of SNP-SNP, SNP-CpG, and higher order interactions helps explain the genetic etiology of human diseases, yet genome-wide analysis for interactions has been very challenging, due to the computational burden and a lack of statistical power in most datasets.

Results: The wtest R package performs association testing for main effects, pairwise and high order interactions in genome-wide association study data, and cis-regulation of SNP and CpG sites in genome-wide and epigenome-wide data.

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  • The 2009 and 2010 immunization efforts in Guangdong initially reduced measles cases, but a resurgence occurred in 2013-2014, prompting this study to investigate the role of migrant infections.
  • Analysis of over 22,000 measles cases showed no significant link between migrant infections and the epidemic's resurgence, although increased infections were noted in children under 8 months and unvaccinated individuals.
  • The findings suggest that the resurgence was primarily driven by infections in these vulnerable groups, highlighting the need for targeted vaccination strategies and improved surveillance for vaccine coverage among these populations.
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Background: To date, published systematic reviews concerning the effects of Kinesio Taping (KT) on muscle strength have not analysed facilitatory and inhibitory applications separately. As a result, their results could be substantially affected by clinical heterogeneity. This meta-analysis was conducted to determine the effectiveness of using a facilitatory application of KT for lower limb muscle strength and functional performance (distance in a single-leg hop and vertical jump height) in individuals without disabilities and in those with musculoskeletal conditions (muscle fatigue, chronic musculoskeletal diseases, and post-operative orthopaedic conditions).

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Hong Kong is a high-income city with intermediate tuberculosis (TB) burden primarily driven by endogenous reactivations. A high proportion of remote latently infected people, particularly elderly, hinders the effectiveness of current strategies focusing on passive TB detection. In this study, we developed a mathematical model to evaluate the impact of treating latent TB infection (LTBI) in the elderly in addition to current TB control strategies.

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