10 results on '"Xiangyanyu Xu"'
Search Results
2. Assessing the impact of interventions on the major Omicron BA.2 outbreak in spring 2022 in Shanghai
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Hengcong Liu, Jun Cai, Jiaxin Zhou, Xiangyanyu Xu, Marco Ajelli, and Hongjie Yu
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Infectious and parasitic diseases ,RC109-216 - Abstract
Background: Shanghai experienced a significant surge in Omicron BA.2 infections from March to June 2022. In addition to the standard interventions in place at that time, additional interventions were implemented in response to the outbreak. However, the impact of these interventions on BA.2 transmission remains unclear. Methods: We systematically collected data on the daily number of newly reported infections during this wave and utilized a Bayesian approach to estimate the daily effective reproduction number. Data on public health responses were retrieved from the Oxford COVID-19 Government Response Tracker and served as a proxy for the interventions implemented during this outbreak. Using a log-linear regression model, we assessed the impact of these interventions on the reproduction number. Furthermore, we developed a mathematical model of BA.2 transmission. By combining the estimated effect of the interventions from the regression model and the transmission model, we estimated the number of infections and deaths averted by the implemented interventions. Results: We found a negative association (−0.0069, 95% CI: 0.0096 to −0.0045) between the level of interventions and the number of infections. If interventions did not ramp up during the outbreak, we estimated that the number of infections and deaths would have increased by 22.6% (95% CI: 22.4–22.8%), leading to a total of 768,576 (95% CI: 768,021-769,107) infections and 722 (95% CI: 722–723) deaths. If no interventions were deployed during the outbreak, we estimated that the number of infections and deaths would have increased by 46.0% (95% CI: 45.8–46.2%), leading to a total of 915,099 (95% CI: 914,639-915,518) infections and 860 (95% CI: 860–861) deaths. Conclusion: Our findings suggest that the interventions adopted during the Omicron BA.2 outbreak in spring 2022 in Shanghai were effective in reducing SARS-CoV-2 transmission and disease burden. Our findings emphasize the importance of non-pharmacological interventions in controlling quick surges of cases during epidemic outbreaks.
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- 2024
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3. Counterfactual analysis of the 2023 Omicron XBB wave in China
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Hengcong Liu, Xiangyanyu Xu, Xiaowei Deng, Zexin Hu, Ruijia Sun, Junyi Zou, Jiayi Dong, Qianhui Wu, Xinhua Chen, Lan Yi, Jun Cai, Juanjuan Zhang, Marco Ajelli, and Hongjie Yu
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Infectious and parasitic diseases ,RC109-216 - Abstract
Background: China has experienced a COVID-19 wave caused by Omicron XBB variant starting in April 2023. Our aim is to conduct a retrospective analysis exploring the dynamics of the outbreak under counterfactual scenarios that combine the use of vaccines, antiviral drugs, and nonpharmaceutical interventions. Methods: We developed a mathematical model of XBB transmission in China, which has been calibrated using SARS-CoV-2 positive rates per week. Intrinsic age-specific infection-hospitalization risk, infection-ICU risk, and infection-fatality risk were used to estimate disease burdens, characterized as number of hospital admissions, ICU admissions, and deaths. Results: We estimated that in absence of behavioral change, the XBB outbreak in spring 2023 would have resulted in 0.86 billion infections (∼61% of the total population). Our counterfactual analysis shows that the synergetic effect of vaccination (70% vaccination coverage), antiviral treatment (20% receiving antiviral treatment), and moderate nonpharmaceutical interventions (20% isolation and L1 PHSMs) could reduce the number of deaths to levels close to seasonal influenza (1.17 vs. 0.65 per 10,000 individuals and 5.85 vs. 3.85 per 10,000 individuals aged 60+, respectively). The maximum peak prevalence of hospital and ICU admissions are estimated to be lower than the corresponding capacities (8.6 vs. 10.4 per 10,000 individuals and 1.2 vs. 2.1 per 10,000 individuals, respectively). Conclusion: Our findings suggest that the capacity of the Chinese healthcare system was adequate to face the Omicron XBB wave in spring 2023 but, at the same time, supports the importance of administering highly effective vaccine with long-lasting immune response, and the use of antiviral treatments.
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- 2024
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4. Assessing changes in incubation period, serial interval, and generation time of SARS-CoV-2 variants of concern: a systematic review and meta-analysis
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Xiangyanyu Xu, Yanpeng Wu, Allisandra G. Kummer, Yuchen Zhao, Zexin Hu, Yan Wang, Hengcong Liu, Marco Ajelli, and Hongjie Yu
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COVID-19 ,Variants of concern ,Incubation period ,Serial interval ,Realized generation time ,Intrinsic generation time ,Medicine - Abstract
Abstract Background After the first COVID-19 wave caused by the ancestral lineage, the pandemic has been fueled from the continuous emergence of new SARS-CoV-2 variants. Understanding key time-to-event periods for each emerging variant of concern is critical as it can provide insights into the future trajectory of the virus and help inform outbreak preparedness and response planning. Here, we aim to examine how the incubation period, serial interval, and generation time have changed from the ancestral SARS-CoV-2 lineage to different variants of concern. Methods We conducted a systematic review and meta-analysis that synthesized the estimates of incubation period, serial interval, and generation time (both realized and intrinsic) for the ancestral lineage, Alpha, Beta, and Omicron variants of SARS-CoV-2. Results Our study included 280 records obtained from 147 household studies, contact tracing studies, or studies where epidemiological links were known. With each emerging variant, we found a progressive shortening of each of the analyzed key time-to-event periods, although we did not find statistically significant differences between the Omicron subvariants. We found that Omicron BA.1 had the shortest pooled estimates for the incubation period (3.49 days, 95% CI: 3.13–4.86 days), Omicron BA.5 for the serial interval (2.37 days, 95% CI: 1.71–3.04 days), and Omicron BA.1 for the realized generation time (2.99 days, 95% CI: 2.48–3.49 days). Only one estimate for the intrinsic generation time was available for Omicron subvariants: 6.84 days (95% CrI: 5.72–8.60 days) for Omicron BA.1. The ancestral lineage had the highest pooled estimates for each investigated key time-to-event period. We also observed shorter pooled estimates for the serial interval compared to the incubation period across the virus lineages. When pooling the estimates across different virus lineages, we found considerable heterogeneities (I 2 > 80%; I 2 refers to the percentage of total variation across studies that is due to heterogeneity rather than chance), possibly resulting from heterogeneities between the different study populations (e.g., deployed interventions, social behavior, demographic characteristics). Conclusions Our study supports the importance of conducting contact tracing and epidemiological investigations to monitor changes in SARS-CoV-2 transmission patterns. Our findings highlight a progressive shortening of the incubation period, serial interval, and generation time, which can lead to epidemics that spread faster, with larger peak incidence, and harder to control. We also consistently found a shorter serial interval than incubation period, suggesting that a key feature of SARS-CoV-2 is the potential for pre-symptomatic transmission. These observations are instrumental to plan for future COVID-19 waves.
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- 2023
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5. Epidemiological characteristics and transmission dynamics of the outbreak caused by the SARS-CoV-2 Omicron variant in Shanghai, China: A descriptive study
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Zhiyuan Chen, Xiaowei Deng, Liqun Fang, Kaiyuan Sun, Yanpeng Wu, Tianle Che, Junyi Zou, Jun Cai, Hengcong Liu, Yan Wang, Tao Wang, Yuyang Tian, Nan Zheng, Xuemei Yan, Ruijia Sun, Xiangyanyu Xu, Xiaoyu Zhou, Shijia Ge, Yuxia Liang, Lan Yi, Juan Yang, Juanjuan Zhang, Marco Ajelli, and Hongjie Yu
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SARS-CoV-2 ,Omicron ,Shanghai outbreak ,Non-pharmaceutical intervention ,Transmission dynamics ,Public aspects of medicine ,RA1-1270 - Abstract
Summary: Background: In early March 2022, a major outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant spread rapidly throughout Shanghai, China. Here we aimed to provide a description of the epidemiological characteristics and spatiotemporal transmission dynamics of the Omicron outbreak under the population-based screening and lockdown policies implemented in Shanghai. Methods: We extracted individual information on SARS-CoV-2 infections reported between January 1 and May 31, 2022, and on the timeline of the adopted non-pharmaceutical interventions. The epidemic was divided into three phases: i) sporadic infections (January 1–February 28), ii) local transmission (March 1–March 31), and iii) city-wide lockdown (April 1 to May 31). We described the epidemic spread during these three phases and the subdistrict-level spatiotemporal distribution of the infections. To evaluate the impact on the transmission of SARS-CoV-2 of the adopted targeted interventions in Phase 2 and city-wide lockdown in Phase 3, we estimated the dynamics of the net reproduction number (Rt). Findings: A surge in imported infections in Phase 1 triggered cryptic local transmission of the Omicron variant in early March, resulting in the largest outbreak in mainland China since the original wave. A total of 626,000 SARS-CoV-2 infections were reported in 99.5% (215/216) of the subdistricts of Shanghai until the end of May. The spatial distribution of the infections was highly heterogeneous, with 37% of the subdistricts accounting for 80% of all infections. A clear trend from the city center towards adjacent suburban and rural areas was observed, with a progressive slowdown of the epidemic spread (from 463 to 244 meters/day) prior to the citywide lockdown. During Phase 2, Rt remained well above 1 despite the implementation of multiple targeted interventions. The citywide lockdown imposed on April 1 led to a marked decrease in transmission, bringing Rt below the epidemic threshold in the entire city on April 14 and ultimately leading to containment of the outbreak. Interpretation: Our results highlight the risk of widespread outbreaks in mainland China, particularly under the heightened pressure of imported infections. The targeted interventions adopted in March 2022 were not capable of halting transmission, and the implementation of a strict, prolonged city-wide lockdown was needed to successfully contain the outbreak, highlighting the challenges for containing Omicron outbreaks. Funding: Key Program of the National Natural Science Foundation of China (82130093); Shanghai Rising-Star Program (22QA1402300).
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- 2022
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6. Heterogeneous changes in mobility in response to the SARS-CoV-2 Omicron BA.2 outbreak in Shanghai
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Juanjuan Zhang, Suoyi Tan, Cheng Peng, Xiangyanyu Xu, Mengning Wang, Wanying Lu, Yanpeng Wu, Bin Sai, Mengsi Cai, Allisandra G. Kummer, Zhiyuan Chen, Junyi Zou, Wenxin Li, Wen Zheng, Yuxia Liang, Yuchen Zhao, Alessandro Vespignani, Marco Ajelli, Xin Lu, and Hongjie Yu
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The coronavirus disease 2019 (COVID-19) pandemic and the measures taken by authorities to control its spread had altered human behavior and mobility patterns in an unprecedented way. However, it remains unclear whether the population response to a COVID-19 outbreak varies within a city or among demographic groups. Here we utilized passively recorded cellular signaling data at a spatial resolution of 1km × 1km for over 5 million users and epidemiological surveillance data collected during the SARS-CoV-2 Omicron BA.2 outbreak from February to June 2022 in Shanghai, China, to investigate the heterogeneous response of different segments of the population at the within-city level and examine its relationship with the actual risk of infection. Changes in behavior were spatially heterogenous within the city and population groups, and associated with both the infection incidence and adopted interventions. We also found that males and individuals aged 30-59 years old traveled more frequently, traveled longer distances, and their communities were more connected; the same groups were also associated with the highest SARS-CoV-2 incidence. Our results highlight the heterogeneous behavioral change of the Shanghai population to the SARS-CoV-2 Omicron BA.2 outbreak and the its effect on the heterogenous spread of COVID-19, both spatially and demographically. These findings could be instrumental for the design of targeted interventions for the control and mitigation of future outbreaks of COVID-19 and, more broadly, of respiratory pathogens.Significance StatementOur study utilized passively recorded cellular signaling data and epidemiological surveillance data to investigate the changes human mobility to a COVID-19 outbreak at an unprecedented within-city level and examine its relationship with the actual risk of infection. Our findings highlight the heterogeneous behavioral change of the Shanghai population to the 2022 SARS-CoV-2 Omicron BA.2 outbreak and its heterogenous effect on the SARS-CoV-2 spread, both spatially and demographically. The implications of our findings could be instrumental to inform spatially targeted interventions at the within-city scale to mitigate possible new surges of COVID-19 cases as well as fostering preparedness for future respiratory infections disease outbreaks.
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- 2023
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7. Projecting the potential impact of an Omicron XBB.1.5 wave in Shanghai, China
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Hengcong Liu, Xiangyanyu Xu, Xiaowei Deng, Zexin Hu, Ruijia Sun, Junyi Zou, Jiayi Dong, Qianhui Wu, Xinhua Chen, Lan Yi, Jun Cai, Juanjuan Zhang, Marco Ajelli, and Hongjie Yu
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China experienced a major nationwide wave of SARS-CoV-2 infections in December 2022, immediately after lifting strict interventions, despite the majority of the population having already received inactivated COVID-19 vaccines. Due to the rapid waning of protection and the emergence of Omicron XBB.1.5, the risk of another COVID-19 wave remains high. It is still unclear whether the health care system will be able to manage the demand during this potential XBB.1.5 wave and if the number of associated deaths can be reduced to a level comparable to that of seasonal influenza. Thus, we developed a mathematical model of XBB.1.5 transmission using Shanghai as a case study. We found that a potential XBB.1.5 wave is less likely to overwhelm the health care system and would result in a death toll comparable to that of seasonal influenza, albeit still larger, especially among elderly individuals. Our analyses show that a combination of vaccines and antiviral drugs can effectively mitigate an XBB.1.5 epidemic, with a projected number of deaths of 2.08 per 10,000 individuals.This figure corresponds to a 70–80% decrease compared to the previous Omicron wave and is comparable to the level of seasonal influenza. The peak prevalence of hospital admissions and ICU admissions are projected at 28.89 and 2.28 per 10,000 individuals, respectively, suggesting the need for a moderate increase in the capacity of the health care system. Our findings emphasize the importance of improving vaccination coverage, particularly among the older population, and the use of antiviral treatments.
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- 2023
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8. Global landscape of SARS-CoV-2 genomic surveillance and data sharing
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Zhiyuan Chen, Andrew S. Azman, Xinhua Chen, Junyi Zou, Yuyang Tian, Ruijia Sun, Xiangyanyu Xu, Yani Wu, Wanying Lu, Shijia Ge, Zeyao Zhao, Juan Yang, Daniel T. Leung, Daryl B. Domman, and Hongjie Yu
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Genetics - Abstract
Genomic surveillance has shaped our understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants. We performed a global landscape analysis on SARS-CoV-2 genomic surveillance and genomic data using a collection of country-specific data. Here, we characterize increasing circulation of the Alpha variant in early 2021, subsequently replaced by the Delta variant around May 2021. SARS-CoV-2 genomic surveillance and sequencing availability varied markedly across countries, with 45 countries performing a high level of routine genomic surveillance and 96 countries with a high availability of SARS-CoV-2 sequencing. We also observed a marked heterogeneity of sequencing percentage, sequencing technologies, turnaround time and completeness of released metadata across regions and income groups. A total of 37% of countries with explicit reporting on variants shared less than half of their sequences of variants of concern (VOCs) in public repositories. Our findings indicate an urgent need to increase timely and full sharing of sequences, the standardization of metadata files and support for countries with limited sequencing and bioinformatics capacity.
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- 2022
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9. Global landscape of SARS-CoV-2 genomic surveillance, public availability extent of genomic data, and epidemic shaped by variants
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Daniel T. Leung, Juan Yang, Yani Wu, Shijia Ge, Andrew S. Azman, Wanying Lu, Xinhua Chen, Xiangyanyu Xu, Junyi Zou, Yuyang Tian, Zhiyuan Chen, Daryl Domman, Hongjie Yu, Zeyao Zhao, and Ruijia Sun
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2019-20 coronavirus outbreak ,variants ,Coronavirus disease 2019 (COVID-19) ,SARS-CoV-2 ,Information Dissemination ,Genomic data ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,COVID-19 ,Computational biology ,Genomics ,Article ,Metadata ,genomic surveillance ,Geography ,High availability ,Marked heterogeneity ,Humans ,genomic data - Abstract
Genomic surveillance has shaped our understanding of SARS-CoV-2 variants, which have proliferated globally in 2021.We collected country-specific data on SARS-CoV-2 genomic surveillance, sequencing capabilities, public genomic data from multiple public repositories, and aggregated publicly available variant data. Then, different proxies were used to estimate the sequencing coverage and public availability extent of genomic data, in addition to describing the global dissemination of variants. We found that the COVID-19 global epidemic clearly featured increasing circulation of Alpha since the start of 2021, which was rapidly replaced by the Delta variant starting around May 2021. SARS-CoV-2 genomic surveillance and sequencing availability varied markedly across countries, with 63 countries performing routine genomic surveillance and 79 countries with high availability of SARS-CoV-2 sequencing. We also observed a marked heterogeneity of sequenced coverage across regions and countries. Across different variants, 21-46% of countries with explicit reporting on variants shared less than half of their variant sequences in public repositories. Our findings indicated an urgent need to expand sequencing capacity of virus isolates, enhance the sharing of sequences, the standardization of metadata files, and supportive networks for countries with no sequencing capability.
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- 2021
10. Landscape of SARS-CoV-2 genomic surveillance, public availability extent of genomic data, and epidemic shaped by variants: a global descriptive study
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Ruijia Sun, Yuyang Tian, Juan Yang, Yani Wu, Wanying Lu, Daniel T. Leung, Daryl Domman, Xiangyanyu Xu, Zeyao Zhao, Hongjie Yu, Junyi Zou, Shijia Ge, Andrew S. Azman, Zhiyuan Chen, and Xinhua Chen
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Metadata ,Geography ,Coronavirus disease 2019 (COVID-19) ,Genomic data ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,High availability ,Pandemic ,Context (language use) ,Computational biology ,Descriptive research - Abstract
BackgroundGenomic surveillance has shaped our understanding of SARS-CoV-2 variants, which have proliferated globally in 2021. Characterizing global genomic surveillance, sequencing coverage, the extent of publicly available genomic data coupled with traditional epidemiologic data can provide evidence to inform SARS-CoV-2 surveillance and control strategies.MethodsWe collected country-specific data on SARS-CoV-2 genomic surveillance, sequencing capabilities, public genomic data, and aggregated publicly available variant data. We divided countries into three levels of genomic surveillance and sequencing availability based on predefined criteria. We downloaded the merged and deduplicated SARS-CoV-2 sequences from multiple public repositories, and used different proxies to estimate the sequencing coverage and public availability extent of genomic data, in addition to describing the global dissemination of variants.FindingsSince the start of 2021, the COVID-19 global epidemic clearly featured increasing circulation of Alpha, which was rapidly replaced by the Delta variant starting around May 2021 and reaching a global prevalence of 96.6% at the end of July 2021. SARS-CoV-2 genomic surveillance and sequencing availability varied markedly across countries, with 63 countries performing routine genomic surveillance and 79 countries with high availability of SARS-CoV-2 sequencing. Less than 3.5% of confirmed SARS-CoV-2 infections were sequenced globally since September 2020, with the lowest sequencing coverage in the WHO regions of Eastern Mediterranean, South East Asia, and Africa. Across different variants, 28-52% of countries with explicit reporting on variants shared less than half of their variant sequences in public repositories. More than 60% of demographic and 95% of clinical data were absent in GISAID metadata accompanying sequences.InterpretationOur findings indicated an urgent need to expand sequencing capacity of virus isolates, enhance the sharing of sequences, the standardization of metadata files, and supportive networks for countries with no sequencing capability.Research in contextEvidence before this studyOn September 3, 2021, we searched PubMed for articles in any language published after January 1, 2020, using the following search terms: (“COVID-19” OR “SARS-CoV-2”) AND (“Global” OR “Region”) AND (“genomic surveillance” OR “sequencing” OR “spread”). Among 43 papers identified, few papers discussed the global diversity in genomic surveillance, sequencing, public availability of genomic data, as well as the global spread of SARS-CoV-2 variants. A paper from Furuse employed the publicly GISAID data to evaluate the SARS-CoV-2 sequencing effort by country from the perspectives of “fraction”, “timeliness”, and “openness”. Another viewpoint paper by Case Western Reserve University’s team discussed the impediments of genomic surveillance in several countries during the COVID-19 pandemic. The paper as reported by Campbell and colleagues used the GISAID data to present the global spread and estimated transmissibility of recently emerged SARS-CoV-2 variants. We also found several studies that reported the country-level genomic surveillance and spread of variants. To our knowledge, no research has quantitatively depicted the global SARS-CoV-2 genomic surveillance, sequencing ability, and public availability extent of genomic data.Added value of this studyThis study collected country-specific data on SARS-CoV-2 genomic surveillance, sequencing capabilities, public genomic data, and aggregated publicly available variant data as of 20 August 2021. We found that genomic surveillance strategies and sequencing availability is globally diverse. Less than 3.5% of confirmed SARS-CoV-2 infections were sequenced globally since September 2020. Our analysis of publicly deposited SARS-CoV-2 sequences and officially reported number of variants implied that the public availability extent of genomic data is low in some countries, and more than 60% of demographic and 95% of clinical data were absent in GISAID metadata accompanying sequences. We also described the pandemic dynamics shaped by VOCs.Implications of all the available evidenceOur study provides a landscape for global sequencing coverage and public availability extent of sequences, as well as the evidence for rapid spread of SRAS-CoV-2 variants. The pervasive spread of Alpha and Delta variants further highlights the threat of SARS-CoV-2 mutations despite the availability of vaccines in many countries. It raised an urgent need to do more work on defining the ideal sampling schemes for different purposes (e.g., identifying new variants) with an additional call to share these data in public repositories to allow for further rapid scientific discovery.
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- 2021
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