Jia-Bing Wu

Jia-Bing Wu


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
21 February 2010 in BMC Infectious Diseases
Verified
Journal Article
Open access
PDF file
NXNijuan Xiang
Nijuan Xiang
YSYing Shi
Ying Shi
JWJia-Bing Wu
Jia-Bing Wu
SZShunxiang Zhang
Shunxiang Zhang
MYMin Ye
Min Ye
HYHongjie Yu
Hongjie Yu
Background: Studies have revealed that visiting poultry markets and direct contact with sick or dead poultry are significant risk factors for H5N1 infection, the practices of which could possibly be influenced by people's knowledge, attitudes and practices (KAPs) associated with avian influenza (AI). To determine the KAPs associated with AI among the Chinese general population, a cross-sectional survey was conducted in China. Methods: We used standardized, structured questionnaires distributed in both an urban area (Shenzhen, Guangdong Province; n = 1,826) and a rural area (Xiuning, Anhui Province; n = 2,572) using the probability proportional to size (PPS) sampling technique. Results: Approximately three-quarters of participants in both groups requested more information about AI. The preferred source of information for both groups was television. Almost three-quarters of all participants were aware of AI as an infectious disease; the urban group was more aware that it could be transmitted through poultry, that it could be prevented, and was more familiar with the relationship between AI and human infection. The villagers in Xiuning were more concerned than Shenzhen residents about human AI viral infection. Regarding preventative measures, a higher percentage of the urban group used soap for hand washing whereas the rural group preferred water only. Almost half of the participants in both groups had continued to eat poultry after being informed about the disease. Conclusions: Our study shows a high degree of awareness of human AI in both urban and rural populations, and could provide scientific support to assist the Chinese government in developing strategies and health-education campaigns to prevent AI infection among the general population.

1 October 2020 in International Journal of Infectious Diseases
Verified
Journal Article
Open access
ZLZhirong Liu
Zhirong Liu
RCRuilin Chu
Ruilin Chu
LGLei Gong
Lei Gong
BSBin Su
Bin Su
JWJia-Bing Wu
Jia-Bing Wu
Few studies aimed on the transmission efficiency of asymptomatic carriers of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. A follow-up study was performed on 147 asymptomatic carriers in Anhui Province. Of 147 asymptomatic carriers, 50.0% were male, 50.3% cases were older than 40 years, and 43.8% were farmers, 68.7% cases were from north of Anhui Province. There were 16 asymptomatic carriers developed illness in the following 14 days isolated observation, and diagnosed as confirmed cases. The possible latent infection period was evaluated ranged from one to five days before onset, and the median time was two days. The second attack rate of 16 confirmed cases whom transferred from asymptomatic carriers was 9.7% (23/236), while 131 asymptomatic carriers caused 2.6% (24/914) close contacts infection, there was a significant difference of second attack rate among two groups (P<0.001). Our study indicated that COVID-19 cases are contagious during the incubation period, and the close contact screening should be covered the incubation period. Furthermore, the transmission efficiency of asymptomatic carriers was lower than that of confirmed cases.

4 September 2019 in The American Journal of Tropical Medicine and Hygiene
Verified
Journal Article
Closed access
PDF file
YHYanbin Hao
Yanbin Hao
NZNa Zhang
Na Zhang
JWJia-Bing Wu
Jia-Bing Wu
BSBin Su
Bin Su
LGLei Gong
Lei Gong
Cunrui HuangCunrui Huang
Cunrui Huang
Infectious diarrhea cases have increased during the past years in the Anhui Province of China, but little is known about its spatial cluster pattern and associated socioeconomic factors. We obtained county-level total cases of infectious diarrhea in 105 counties of Anhui in 2016 and computed age-adjusted rates. Socioeconomic factors were collected from the Statistical Yearbook. Hot spot analysis was used to identify hot and cold spot counties for infectious diarrhea incidence. We then applied binary logistic regression models to determine the association between socioeconomic factors and hot spot or cold spot clustering risk. Hot spot analysis indicated there were both significant hot spot (29 counties) and cold spot (18 counties) clustering areas for infectious diarrhea in Anhui (P < 0.10). Multivariate binary logistic regression results showed that infectious diarrhea hot spots were positively associated with per capita gross domestic product (GDP), with an adjusted odds ratio (AOR): 3.51, 95% CI: 2.09–5.91, whereas cold spots clustering were positively associated with the number of medical staffs (AOR: 1.18, 95% CI: 1.08–1.29) and negatively associated with the number of public health physicians (AOR: 0.27, 95% CI: 0.09–0.86). We identified locations for hot and cold spot clusters of infectious diarrhea incidence in Anhui, and the clustering risks were significantly associated with health workforce resources and the regional economic development. Targeted interventions should be carried out with considerations of regional socioeconomic conditions.

3 September 2019 in BMC Infectious Diseases
Verified
Journal Article
Open access
PDF file
NXNijuan Xiang
Nijuan Xiang
YSYing Song
Ying Song
YWYu Wang
Yu Wang
JWJia-Bing Wu
Jia-Bing Wu
AMAlexander J. Millman
Alexander J. Millman
QLQun Li
Qun Li
We sought to assess reporting in China’s Pneumonia of Unknown Etiology (PUE) passive surveillance system for emerging respiratory infections and to identify ways to improve the PUE surveillance system’s detection of respiratory infections of public health significance. From February 29–May 29, 2016, we actively identified and enrolled patients in two hospitals with acute respiratory infections (ARI) that met all PUE case criteria. We reviewed medical records for documented exposure history associated with respiratory infectious diseases, collected throat samples that were tested for seasonal and avian influenza, and interviewed clinicians regarding reasons for reporting or not reporting PUE cases. We described and analyzed the proportion of PUE cases reported and clinician awareness of and practices related to the PUE system. Of 2619 ARI admissions in two hospitals, 335(13%) met the PUE case definition; none were reported. Of 311 specimens tested, 18(6%) were seasonal influenza virus-positive; none were avian influenza-positive. < 10% PUE case medical records documented whether or not there were exposures to animals or others with respiratory illness. Most commonly cited reasons for not reporting cases were no awareness of the PUE system (76%) and not understanding the case definition (53%). Most clinicians have limited awareness of and are not reporting to the PUE system. Exposures related to respiratory infections are rarely documented in medical records. Increasing clinicians’ awareness of the PUE system and including relevant exposure items in standard medical records may increase reporting.

7 June 2013 in Virology Journal
Verified
Journal Article
Open access
PDF file
HPHao Pan
Hao Pan
JHJiayu Hu
Jiayu Hu
SLShelan Liu
Shelan Liu
HSHong Shen
Hong Shen
YZYiyi Zhu
Yiyi Zhu
ZYZheng’aN Yuan
Zheng’aN Yuan
This paper describes the first case of infection with a recently described novel bunyavirus, severe fever with thrombocytopenia syndrome virus (SFTSV), in Shanghai, China. The case is originally from Chizhou City, Anhui province within an endemic area for SFTSV. We describe the etiology, epidemiological characteristics, clinical diagnosis and treatment of this fatal case. This case is unique because major cause of death was renal failure, whereas other reported cases have been due to hemorrhage. The investigation and response to this case provides meaningful insight for the early and rapid diagnosis, treatment, prevention and control of severe fever with thrombocytopenia syndrome virus in non-endemic regions in China and globally.

28 March 2025 in Biosafety and Health
Verified
Journal Article
Open access
Yanhan WenYanhan Wen
Yanhan Wen
YTYeqing Tong
Yeqing Tong
LGLei Gong
Lei Gong
ALAqian Li
Aqian Li
XHXiaoxia Huang
Xiaoxia Huang
SWShiwen Wang
Shiwen Wang
• Scientific question : The temporal dynamics in cytokine profiles throughout severe fever with thrombocytopenia syndrome (SFTS) progression, their association with clinical severity, and the modifying effects of demographic factors such as age and sex remain insufficiently delineated, necessitating comprehensive longitudinal analyses. • Evidence before this study: Previous studies highlighted cytokine storms in SFTS pathogenesis but were constrained by small samples and cross-sectional designs, lacking longitudinal, multi-center data on cytokine trajectories and their links to disease severity and patient demographics. • New findings: Our multi-center retrospective analysis (2010–2023) of 287 serum samples from high-incidence regions of China revealed that interleukin (IL)-6, interferon (IFN)-α, IL-8, and IFN-γ-induced protein 10 (IP-10) drove hyperinflammation during the acute phase, while IL-10 moderated immune activation and might promote viral persistence, with prolonged elevation of IL-8 and IP-10 in some patients suggesting heterogeneous recovery pathways. Severe cases exhibited significantly higher IL-10, IFN-γ, IL-6, IFN-α, tumor necrosis factor (TNF)-α, IL-8, and IP-10, highlighting their potential as severity biomarkers. At the same time, sex-based differences showed elevated IFN-γ and IL-8 levels in females, and older patients demonstrateed increased IL-10, IFN-γ, and IFN-α. The acute and recovery phases of SFTS demonstrated dynamic variations in immune regulation, and significant changes also occurred in the correlations between cytokines and antibodies. • Significance of the study: Our decade-long multicenter study provides a comprehensive understanding of the immunopathogenesis of SFTS by systematically delineating the temporal dynamics of cytokine profiles throughout the disease. This work establishes a theoretically robust foundation for further investigations into cytokine-targeted therapeutic strategies and the incorporation of predictive biomarkers into clinical practice, ultimately aiming to refine diagnostic methodologies and enhance clinical management.