Xiao-ping Dong
Biographic Data
| ID | 9398170 |
|---|---|
| NAME | Xiao-ping Dong |
| GIVEN NAMES | Xiao-ping |
| FAMILY NAME | Dong |
| SIGNATURE | DONG X |
| VERIFIED | No |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Spatiotemporal prevalence of Covid-19 and Sars-CoV-2 variants in Africa
Introduction: The coronavirus disease 2019 (COVID-19) pandemic has caused significant public health and socioeconomic crises across Africa; however, the prevalent patterns of COVID-19 and the circulating characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants in the continent remain insufficiently documented. Methods: In this study, national data on case numbers, infection incidences, mortality rates, the circulat…
Updated global epidemiology atlas of human prion diseases
Introduction Human prion disease (PrD), a group of fatal and transmissible neurodegenerative diseases, consists of Creutzfeldt–Jakob disease (CJD), kuru, fatal familial insomnia (FFI), Gerstmann-Sträussler-Scheinker disease (GSS), and variably protease-sensitive prionopathy (VPSPr). The emergence of bovine spongiform encephalopathy (BSE) in cattle and variant CJD (vCJD) has greatly threatened public health, both in humans and animals. Since the 1…
Covid-19 outbreaks caused by different Sars-CoV-2 variants: A descriptive, comparative study from China
Objectives: To understand the epidemic characteristics of various SARS-CoV-2 variants, we mainly focus on analyzing general epidemic profiles, viral mutation, and evolution of COVID-19 outbreaks caused by different SARS-CoV-2 variants of concern (VOCs) in China as of August 2022. Methods: We systematically sorted out the general epidemic profiles of outbreaks caused by various SARS-CoV-2 VOCs in China, compared the differences of outbreaks caused…
Integrating gated recurrent unit in graph neural network to improve infectious disease prediction: An attempt
Objective: This study focuses on enhancing the precision of epidemic time series data prediction by integrating Gated Recurrent Unit (GRU) into a Graph Neural Network (GNN), forming the GRGNN. The accuracy of the GNN (Graph Neural Network) network with introduced GRU (Gated Recurrent Units) is validated by comparing it with seven commonly used prediction methods. Method: The GRGNN methodology involves multivariate time series prediction using a G…
Nesting the Sirv model with NAR, LSTM and statistical methods to fit and predict Covid-19 epidemic trend in Africa
Nesting the SIRV model with NAR, LSTM, ARIMA methods etc. through functionalizing β respectively could obtain more accurate fitting and predicting results than these models/methods alone for the number of confirmed COVID-19 cases in Africa in which nesting with NAR had the highest accuracy for the 14-day and 21-day predictions. The nested model was of high significance for early understanding of the COVID-19 disease burden and preparedness for th…
Self-collected versus medic-collected sampling for human papillomavirus testing among women in Lagos, Nigeria: A comparative study
Objective To evaluate the feasibility and performance of self-collected vaginal swab samples for HPV screening among women in Lagos, Nigeria. Methods A cross-sectional study was implemented from March to August 2020 among sexually active women. Study participants provided same-day paired vaginal swab samples. Medic-sampling and poster-directed self-sampling methods were used to collect the two samples per participant. A real-time PCR assay detect…
Urine metabolomics study on the liver injury in rats induced by raw and processed Polygonum multiflorum integrated with pattern recognition and pathways analysis
Surveillance for Creutzfeldt-Jakob disease in China from 2006 to 2007
Chinese CJD patients possessed similar epidemiological and clinical characteristics as worldwide
No prominent works on this page.
Surveillance for Creutzfeldt-Jakob disease in China from 2006 to 2007
Chinese CJD patients possessed similar epidemiological and clinical characteristics as worldwide
Urine metabolomics study on the liver injury in rats induced by raw and processed Polygonum multiflorum integrated with pattern recognition and pathways analysis
Self-collected versus medic-collected sampling for human papillomavirus testing among women in Lagos, Nigeria: A comparative study
Objective To evaluate the feasibility and performance of self-collected vaginal swab samples for HPV screening among women in Lagos, Nigeria. Methods A cross-sectional study was implemented from March to August 2020 among sexually active women. Study participants provided same-day paired vaginal swab samples. Medic-sampling and poster-directed self-sampling methods were used to collect the two samples per participant. A real-time PCR assay detect…
Nesting the Sirv model with NAR, LSTM and statistical methods to fit and predict Covid-19 epidemic trend in Africa
Nesting the SIRV model with NAR, LSTM, ARIMA methods etc. through functionalizing β respectively could obtain more accurate fitting and predicting results than these models/methods alone for the number of confirmed COVID-19 cases in Africa in which nesting with NAR had the highest accuracy for the 14-day and 21-day predictions. The nested model was of high significance for early understanding of the COVID-19 disease burden and preparedness for th…
Updated global epidemiology atlas of human prion diseases
Introduction Human prion disease (PrD), a group of fatal and transmissible neurodegenerative diseases, consists of Creutzfeldt–Jakob disease (CJD), kuru, fatal familial insomnia (FFI), Gerstmann-Sträussler-Scheinker disease (GSS), and variably protease-sensitive prionopathy (VPSPr). The emergence of bovine spongiform encephalopathy (BSE) in cattle and variant CJD (vCJD) has greatly threatened public health, both in humans and animals. Since the 1…
Covid-19 outbreaks caused by different Sars-CoV-2 variants: A descriptive, comparative study from China
Objectives: To understand the epidemic characteristics of various SARS-CoV-2 variants, we mainly focus on analyzing general epidemic profiles, viral mutation, and evolution of COVID-19 outbreaks caused by different SARS-CoV-2 variants of concern (VOCs) in China as of August 2022. Methods: We systematically sorted out the general epidemic profiles of outbreaks caused by various SARS-CoV-2 VOCs in China, compared the differences of outbreaks caused…
Integrating gated recurrent unit in graph neural network to improve infectious disease prediction: An attempt
Objective: This study focuses on enhancing the precision of epidemic time series data prediction by integrating Gated Recurrent Unit (GRU) into a Graph Neural Network (GNN), forming the GRGNN. The accuracy of the GNN (Graph Neural Network) network with introduced GRU (Gated Recurrent Units) is validated by comparing it with seven commonly used prediction methods. Method: The GRGNN methodology involves multivariate time series prediction using a G…
Spatiotemporal prevalence of Covid-19 and Sars-CoV-2 variants in Africa
Introduction: The coronavirus disease 2019 (COVID-19) pandemic has caused significant public health and socioeconomic crises across Africa; however, the prevalent patterns of COVID-19 and the circulating characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants in the continent remain insufficiently documented. Methods: In this study, national data on case numbers, infection incidences, mortality rates, the circulat…
Medicine (8 works) · Disease (5 works) · Geography (4 works) · Biology (3 works) · Epidemiology (3 works) · Outbreak (3 works) · Pathology (3 works) · Virology (3 works) · Bovine spongiform encephalopathy (2 works) · China (2 works)