A5059828885- COVID-19 epidemiological studies
- SARS-CoV-2 and COVID-19 Research
- Influenza Virus Research Studies
- Data-Driven Disease Surveillance
- COVID-19 Pandemic Impacts
- Complex Network Analysis Techniques
- COVID-19 and Mental Health
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Human Mobility and Location-Based Analysis
- Viral Infections and Outbreaks Research
- Respiratory viral infections research
- Vaccine Coverage and Hesitancy
- COVID-19 and healthcare impacts
- Opportunistic and Delay-Tolerant Networks
- Poxvirus research and outbreaks
- Misinformation and Its Impacts
- COVID-19 Impact on Reproduction
- Advanced Computational Techniques and Applications
- Transportation Planning and Optimization
- Opinion Dynamics and Social Influence
- Bacillus and Francisella bacterial research
- Spectroscopy and Chemometric Analyses
- Viral Infections and Vectors
- Metaheuristic Optimization Algorithms Research
University of Hong Kong
2020-2025
Laboratory of Data Discovery for Health
2021-2024
Hong Kong Science and Technology Parks Corporation
2021-2024
The University of Texas at Austin
2017-2023
City University of Hong Kong, Shenzhen Research Institute
2022
Ministry of Natural Resources
2020-2022
HKU-Pasteur Research Pole
2022
Dalian Neusoft University of Information
2022
Shenzhen University
2022
Wuhan University
2022
Abstract We estimate the distribution of serial intervals for 468 confirmed cases coronavirus disease reported in China as February 8, 2020. The mean interval was 3.96 days (95% CI 3.53–4.39 days), SD 4.75 4.46–5.07 days); 12.6% case reports indicated presymptomatic transmission.
Abstract On January 23, 2020, China quarantined Wuhan to contain coronavirus disease (COVID-19). We estimated the probability of transportation COVID-19 from 369 other cities in before quarantine. Expected risk is >50% 130 (95% CI 89–190) and >99% 4 largest metropolitan areas.
From cough to splutter In epidemiology, serial intervals are measured from when one infected person starts show symptoms the next becomes symptomatic. For any specific infection, interval is assumed be a fixed characteristic. Using valuable transmission pair data for coronavirus disease (COVID-19) in mainland China, Ali et al. noticed that average changed as nonpharmaceutical interventions were introduced. mid-January 2020, on 7.8 days, whereas early February they decreased an of 2.2 days....
SummaryBackgroundTo mitigate the COVID-19 pandemic, countries worldwide have enacted unprecedented movement restrictions, physical distancing measures, and face mask requirements. Until safe efficacious vaccines or antiviral drugs become widely available, viral testing remains primary mitigation measure for rapid identification isolation of infected individuals. We aimed to assess economic trade-offs expanding accelerating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) across...
Short Abstract We estimate the distribution of serial intervals for 468 confirmed cases COVID-19 reported in 93 Chinese cities by February 8, 2020. The mean and standard deviation are 3.96 (95% CI 3.53-4.39) 4.75 4.46-5.07) days, respectively, with 12.6% reports indicating pre-symptomatic transmission. One sentence summary
Knowledge on the epidemiological features and transmission patterns of novel coronavirus disease (COVID-19) is accumulating. Detailed line-list data with household settings can advance understanding COVID-19 dynamics.A unique database detailed demographic characteristics, travel history, social relationships, timelines for 1407 pairs that formed 643 clusters in mainland China was reconstructed from 9120 confirmed cases reported during 15 January-29 February 2020. Statistical model fittings...
Abstract Social distancing orders have been enacted worldwide to slow the coronavirus disease (COVID-19) pandemic, reduce strain on healthcare systems, and prevent deaths. To estimate impact of timing intensity such measures, we built a mathematical model COVID-19 transmission that incorporates age-stratified risks contact patterns projects numbers hospitalizations, patients in intensive care units, ventilator needs, deaths within US cities. Focusing Austin metropolitan area Texas, found...
Multiple candidates of COVID-19 vaccines have entered Phase III clinical trials in the United States (US). There is growing optimism that social distancing restrictions and face mask requirements could be eased with widespread vaccine adoption soon.We developed a dynamic compartmental model transmission for four most severely affected states (New York, Texas, Florida, California). We evaluated effectiveness coverage required to suppress epidemic scenarios when contact was return pre-pandemic...
Forecasting the burden of COVID-19 has been impeded by limitations in data, with case reporting biased testing practices, death counts lagging far behind infections, and hospital census reflecting time-varying patient access, admission criteria, demographics. Here, we show that admissions coupled mobility data can reliably predict severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission rates healthcare demand. Using a forecasting model guided mitigation policies Austin, TX,...
The Delta and Omicron variants have the pooled estimates of serial interval as 3.4 days (95% CI: 3.0, 3.7) 3.1 2.9, 3.2), respectively; incubation periods 4.8 3.9, 5.6) 3.6 2.3, 4.9), respectively.
China announced a slight easing of its zero-COVID rules on November 11, 2022, and then major relaxation December 7, 2022. We estimate that the ensuing wave SARS-CoV-2 infections caused 1.41 million deaths in during 2022-February 2023, substantially higher than reported through official channels.
We evaluated the population-level benefits of expanding treatment with antiviral drug Paxlovid (nirmatrelvir/ritonavir) in United States for SARS-CoV-2 Omicron variant infections. Using a multiscale mathematical model, we found that treating 20% symptomatic case-patients over period 300 days beginning January 2022 resulted life and cost savings. In low-transmission scenario (effective reproduction number 1.2), this approach could avert 0.28 million (95% CI 0.03-0.59 million) hospitalizations...
Cities across China implemented stringent social distancing measures in early 2020 to curb coronavirus disease outbreaks. We estimated the speed with which these contained transmission cities. A 1-day delay implementing resulted a containment of 2.41 (95% CI 0.97-3.86) days.
Significance How can we best mitigate future pandemic waves while limiting collateral economic damage? As COVID-19 social distancing measures are relaxed across the United States, temporary shelter-in-place orders triggered by monitoring local hospital admissions minimize number of days disruption preventing overwhelming healthcare surges. We develop a mathematical optimization model on top an SEIR-style simulation with age group, risk and temporal fidelity. This work has been in response to...
Community mitigation strategies to combat COVID-19, ranging from healthy hygiene shelter-in-place orders, exact substantial socioeconomic costs. Judicious implementation and relaxation of restrictions amplify their public health benefits while reducing We derive optimal for toggling between stages using daily COVID-19 hospital admissions. With compliance, the policy triggers ensure adequate intensive care unit capacity with high probability minimizing duration strict measures. In comparison,...
Hong Kong has implemented stringent public health and social measures (PHSMs) to curb each of the four COVID-19 epidemic waves since January 2020. The third wave between July September 2020 was brought under control within 2 m, while fourth starting from end October taken longer bring lasted at least 5 mo. Here, we report pandemic fatigue as one potential reasons for reduced impact PHSMs on transmission in wave. We contacted either 500 or 1,000 local residents through weekly random-digit...
Given global Coronavirus Disease 2019 (COVID-19) vaccine shortages and inequity of distributions, fractionation doses might be an effective strategy for reducing public health economic burden, notwithstanding the emergence new variants concern. In this study, we developed a multi-scale model incorporating population-level transmission individual-level vaccination to estimate costs hospitalization benefits COVID-19 deaths due dose-fractionation strategies in India. We used large-scale survey...
Paxlovid, a SARS-CoV-2 antiviral, not only prevents severe illness but also curtails viral shedding, lowering transmission risks from treated patients. By fitting mathematical model of within-host Omicron dynamics to electronic health records data 208 hospitalized patients in Hong Kong, we estimate that Paxlovid can inhibit over 90% replication. However, its effectiveness critically depends on the timing treatment. If treatment is initiated three days after symptoms first appear, 17% chance...