LIVIVO - Search results -

Search results

Result 1 - 10 of total 298

Search options

Article ; Online: Novel H10N3 avian influenza viruses: a potential threat to public health.

Liu, Kaituo / Qi, Xian / Bao, Changjun / Wang, Xiaoquan / Liu, Xiufan

The Lancet. Microbe

2024

Language	English
Publishing date	2024-01-31
Publishing country	England
Document type	Letter
ISSN	2666-5247
ISSN (online)	2666-5247
DOI	10.1016/S2666-5247(23)00409-3
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Human activity has increasingly affected recent carbon accumulation in Zhanjiang mangrove wetland, South China.

Liu, Ting / Bao, Kunshan / Chen, Minqi / Neupane, Bigyan / Gao, Changjun / Zaccone, Claudio

iScience

2024 Volume 27, Issue 3, Page(s) 109038

Abstract: Mangrove wetlands are an important component of blue carbon (C) ecosystems, although the anthropogenic impact on organic C accumulation rate (OCAR) in mangrove wetlands is not yet clear. Three sediment cores were collected from Zhanjiang Gaoqiao Mangrove ...

Abstract	Mangrove wetlands are an important component of blue carbon (C) ecosystems, although the anthropogenic impact on organic C accumulation rate (OCAR) in mangrove wetlands is not yet clear. Three sediment cores were collected from Zhanjiang Gaoqiao Mangrove Reserve in Southern China, dated by
Language	English
Publishing date	2024-01-26
Publishing country	United States
Document type	Journal Article
ISSN	2589-0042
ISSN (online)	2589-0042
DOI	10.1016/j.isci.2024.109038
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Three thousand years of Hg pollution recorded in mangrove wetland sediments from South China.

Chen, Minqi / Neupane, Bigyan / Zhan, Xuan / Liu, Ting / Lin, Zhanyi / Gao, Changjun / Zaccone, Claudio / Bao, Kunshan

Environmental research

2024 Volume 252, Issue Pt 1, Page(s) 118866

Abstract: Mercury (Hg) is known to affect aquatic, terrestrial ecosystems as well as human health, through biomagnification. Mangrove wetlands are potential Hg sinks because of their low tidal velocity, fast sedimentation rate, strong reducing condition and high ... ...

Abstract	Mercury (Hg) is known to affect aquatic, terrestrial ecosystems as well as human health, through biomagnification. Mangrove wetlands are potential Hg sinks because of their low tidal velocity, fast sedimentation rate, strong reducing condition and high organic matter content. The spatial and temporal distribution of Hg has been a hot topic of recent studies in mangrove wetlands. In this study, we investigated Hg concentration, accumulation rate and isotopes to reconstruct the Hg pollution history and to differentiate its potential sources in the Gaoqiao mangrove wetland (Guangdong province), which is part of the largest mangrove area in China. We reconstructed a first, continuous, high-resolution Hg pollution history over the last 3000 years in South China. Our findings show that mangrove wetland sediments are more enriched in Hg than the adjacent grasslands. The increased Hg concentration and δ
Language	English
Publishing date	2024-04-03
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2024.118866
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 726: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article: Emergence of

Liu, Guoye / Qian, Huimin / Lv, Jingwen / Tian, Benshun / Bao, Changjun / Yan, Hong / Gu, Bing

Frontiers in microbiology

2021 Volume 12, Page(s) 723697

Abstract: Background: ...

Abstract	Background:
Language	English
Publishing date	2021-09-03
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2587354-4
ISSN	1664-302X
ISSN	1664-302X
DOI	10.3389/fmicb.2021.723697
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Changes in prevalence of anxiety and depression among COVID-19 patients during a two-year recovery period: A systematic review and meta-analysis.

Shang, Qingxiang / Xu, Ke / Ji, Hong / Dai, Qigang / Ju, Hao / Huang, Haodi / Hu, Jianli / Bao, Changjun

Journal of psychosomatic research

2024 Volume 178, Page(s) 111602

Abstract: Objective: To analyze the temporal trend of anxiety and depression prevalences up to 2 years of follow-up for COVID-19 patients during the recovery period and to compare regional differences.: Methods: We performed a systematic review from PubMed, ... ...

Abstract	Objective: To analyze the temporal trend of anxiety and depression prevalences up to 2 years of follow-up for COVID-19 patients during the recovery period and to compare regional differences. Methods: We performed a systematic review from PubMed, Embase, Web of Science, CNKI, Wanfang, and VIP using keywords such as "COVID-19", "anxiety", "depression", and "cohort study". Meta-analysis was performed to estimate the pooled prevalence of anxiety and depression at five follow-up time intervals. Subgroup analyses were conducted by different regions. Results: 34 cohort studies were included in the meta-analyses. The pooled anxiety prevalence rates at 0-1 month, 1-3 months, 3-6 months, 6-12 months and 12-24 months were 18% (95% CI: 11% to 28%), 18% (95% CI: 12% to 28%), 22% (95% CI: 16% to 29%), 15% (95% CI: 11% to 21%), and 10% (95% CI: 0.05% to 20%), respectively, and the pooled depression prevalence rates were 22% (95%CI: 15% to 33%), 19% (95% CI: 13% to 29%), 21% (95% CI: 15% to 28%), 15% (95% CI: 11% to 20%), and 9% (95% CI: 0.4% to 21%) respectively. The prevalence of depression in Asian and non-Asian countries was statistically different at 0-1 month (χ Conclusion: The prevalence of anxiety and depression in COVID-19 patients generally tends to decrease after 2 years of recovery, but may temporarily increase at 3-6 months. There are regional differences in the changes in prevalence of anxiety and depression.
MeSH term(s)	Humans ; Depression/epidemiology ; Prevalence ; COVID-19/epidemiology ; Anxiety/epidemiology ; Anxiety Disorders/epidemiology
Language	English
Publishing date	2024-02-02
Publishing country	England
Document type	Meta-Analysis ; Systematic Review ; Journal Article ; Review
ZDB-ID	80166-5
ISSN	1879-1360 ; 0022-3999
ISSN (online)	1879-1360
ISSN	0022-3999
DOI	10.1016/j.jpsychores.2024.111602
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Ui I Zs.233: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Analysis of the spatial-temporal distribution characteristics of hepatitis E in Jiangsu province from 2005 to 2020.

Shi, Yao / Shen, Wenqi / Liu, Wendong / Zhang, Xuefeng / Shang, Qingxiang / Cheng, Xiaoqing / Bao, Changjun

Frontiers in public health

2023 Volume 11, Page(s) 1225261

Abstract: Objective: This study attempts to analyze the spatial clustering and spatial-temporal distribution characteristics of hepatitis E (HE) at the county (city and district) level in Jiangsu province to provide a scientific basis for the prevention and ... ...

Abstract	Objective: This study attempts to analyze the spatial clustering and spatial-temporal distribution characteristics of hepatitis E (HE) at the county (city and district) level in Jiangsu province to provide a scientific basis for the prevention and control of HE. Method: The information on HE cases reported in the Chinese Center for Disease Control and Prevention Information System from 2005 to 2020 was collected for spatial autocorrelation analysis and spatial-temporal clustering analysis. Result: From 2005 to 2020, 48,456 HE cases were reported in Jiangsu province, with an average annual incidence rate of 3.87/100,000. Male cases outnumbered female cases (2.46:1), and the incidence was highest in the 30-70 years of age group (80.50%). Farmers accounted for more than half of all cases (59.86%), and in terms of the average annual incidence, the top three cities were all in Zhenjiang city. Spatial autocorrelation analysis showed that Global Moran's I of HE incidence varied from 0.232 to 0.513 for the years. From 2005 to 2020, 31 counties (cities and districts) had high and statistically significant HE incidence, and two clustering areas were detected by spatial-temporal scanning. Conclusion: HE incidence in Jiangsu province from 2005 to 2020 was stable, with age and gender differences, regional clustering, and spatial-temporal clustering. Further investigation of HE clustering areas is necessary to formulate corresponding targeted prevention and control measures.
MeSH term(s)	Female ; Humans ; Male ; Asian People/statistics & numerical data ; Cities/epidemiology ; Cities/statistics & numerical data ; Cluster Analysis ; Farmers/statistics & numerical data ; Hepatitis E/epidemiology ; Spatio-Temporal Analysis ; China/epidemiology ; Adult ; Middle Aged ; Aged ; Incidence
Language	English
Publishing date	2023-08-08
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2023.1225261
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Spatial distribution of potentially harmful trace elements and ecological risk assessment in Zhanjiang mangrove wetland, South China.

Zhao, Kewei / Bao, Kunshan / Yan, Ying / Neupane, Bigyan / Gao, Changjun

Marine pollution bulletin

2022 Volume 182, Page(s) 114033

Abstract: Global mangrove wetlands face increasing anthropogenic impacts along the coast. The Zhanjiang mangrove wetland is the largest and adjacent to the most developed bay area in China. Surface sediments were collected in different plant transit and used for ... ...

Abstract	Global mangrove wetlands face increasing anthropogenic impacts along the coast. The Zhanjiang mangrove wetland is the largest and adjacent to the most developed bay area in China. Surface sediments were collected in different plant transit and used for potentially harmful trace elements (PHTEs) measurement. Mean contents of Hg, Cr, Ni, Cu, Zn, As, Cd and Pb were 0.01 mg/kg, 56.16 mg/kg, 10.06 mg/kg, 9.61 mg/kg, 43.58 mg/kg, 8.76 mg/kg, 0.25 mg/kg, 28.12 mg/kg. Most of the PHTEs were slightly enriched but the Cd pollution is significant, and the potential ecological risk is moderate. The risk of the mangrove wetland is larger than the grassland and the farmland. The PCA and PMF indicate Hg, Ni, Cu, Zn, As, and Pb mainly originated from local anthropogenic activities, Cr originated from the natural geological process, and Cd mainly originated from atmospheric deposition of regional industrial pollution. In view of the impact of surrounding industry and agriculture and the signs of PHTEs pollution, it is necessary to implement the wetland protection law more strictly to truly realize the construction of ecological civilization. This provides a valid reference for the wetland conservation and management in coastal cities.
MeSH term(s)	Cadmium ; China ; Environmental Monitoring ; Geologic Sediments ; Lead ; Mercury ; Metals, Heavy/analysis ; Risk Assessment ; Trace Elements/analysis ; Wetlands
Chemical Substances	Metals, Heavy ; Trace Elements ; Cadmium (00BH33GNGH) ; Lead (2P299V784P) ; Mercury (FXS1BY2PGL)
Language	English
Publishing date	2022-08-12
Publishing country	England
Document type	Journal Article
ZDB-ID	2001296-2
ISSN	1879-3363 ; 0025-326X
ISSN (online)	1879-3363
ISSN	0025-326X
DOI	10.1016/j.marpolbul.2022.114033
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: A baseline study of polycyclic aromatic hydrocarbons distribution, source and ecological risk in Zhanjiang mangrove wetlands, South China.

Yan, Ying / Bao, Kunshan / Zhao, Kewei / Neupane, Bigyan / Gao, Changjun

Ecotoxicology and environmental safety

2022 Volume 249, Page(s) 114437

Abstract: Polycyclic aromatic hydrocarbons (PAHs) are widespread environmental contaminants and pose a severe threat to human health. Here, 38 surface sediment samples collected from the Gaoqiao mangrove wetland in Zhanjiang, south China, were analyzed to ... ...

Abstract	Polycyclic aromatic hydrocarbons (PAHs) are widespread environmental contaminants and pose a severe threat to human health. Here, 38 surface sediment samples collected from the Gaoqiao mangrove wetland in Zhanjiang, south China, were analyzed to determine 16 Environmental Protection Agency (EPA) priority PAHs. Total PAHs concentrations ranged from 33.5 µg/kg to 404.8 µg/kg with an average of 147.7 ± 77.7 µg/kg, inferring a moderate pollution level. Three and four-ring compounds dominated the PAHs composition patterns. Significant positive correlations were observed between the PAHs and the physicochemical properties of the sediments. According to the characteristic molecular ratio method, PAHs in sediments were mainly derived from combustion sources, including the incomplete combustion of liquid fossil fuels, grass, wood, and coal. The result based on the PMF model indicates that the primary combustion sources of PAHs are coal combustion, diesel-powered vehicles, biomass combustion and gasoline-powered vehicles, with a share of 39.01%, 25.21%, 12.72% and 10.48%, respectively. The petrogenic source contributes 12.58% PAHs to the sediments. The mean effects range median quotient (m-ERM-Q) and toxic equivalent method (TEQ) indicate a low comprehensive ecological risk of PAHs in the study area. Still, the evaluation results of effects range low (ERL) suggest that PAHs in the sediment would occasionally have adverse biological effects. Therefore, this situation demands attention and calls for protection strategies in the processes of urbanization and industrialization in south China.
MeSH term(s)	Humans ; Polycyclic Aromatic Hydrocarbons/analysis ; Wetlands ; Environmental Monitoring/methods ; Risk Assessment ; Coal/analysis ; China ; Geologic Sediments/chemistry ; Water Pollutants, Chemical/analysis
Chemical Substances	Polycyclic Aromatic Hydrocarbons ; Coal ; Water Pollutants, Chemical
Language	English
Publishing date	2022-12-19
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	436536-7
ISSN	1090-2414 ; 0147-6513
ISSN (online)	1090-2414
ISSN	0147-6513
DOI	10.1016/j.ecoenv.2022.114437
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 1418: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article: A dynamic model for individualized prognosis prediction in patients with avian influenza A H7N9.

Zhang, Mingzhi / Xu, Ke / Dai, Qigang / You, Dongfang / Yu, Zhaolei / Bao, Changjun / Zhao, Yang

Annals of translational medicine

2022 Volume 10, Issue 3, Page(s) 149

Abstract: Background: Avian influenza A H7N9 progresses rapidly and has a high case fatality rate. However, few models are available to predict the survival of individual patients with H7N9 infection in real-time. This study set out to construct a dynamic model ... ...

Abstract	Background: Avian influenza A H7N9 progresses rapidly and has a high case fatality rate. However, few models are available to predict the survival of individual patients with H7N9 infection in real-time. This study set out to construct a dynamic model for individual prognosis prediction based on multiple longitudinal measurements taken during hospitalization. Methods: The clinical and laboratory characteristics of 96 patients with H7N9 who were admitted to hospitals in Jiangsu between January 2016 and May 2017 were retrospectively investigated. A random forest model was applied to longitudinal data to select the biomarkers associated with prognostic outcome. Finally, a multivariate joint model was used to describe the time-varying effects of the biomarkers and calculate individual survival probabilities. Results: The random forest selected a set of significant biomarkers that had the lowest classification error rates in the feature selection phase, including C-reactive protein (CRP), blood urea nitrogen (BUN), procalcitonin (PCT), base excess (BE), lymphocyte count (LYMPH), white blood cell count (WBC), and creatine phosphokinase (CPK). The multivariate joint model was used to describe the effects of these biomarkers and characterize the dynamic progression of the prognosis. Combined with the covariates, the joint model displayed a good performance in discriminating survival outcomes in patients within a fixed time window of 3 days. During hospitalization, the areas under the curve were stable at 0.75. Conclusions: Our study has established a novel model that is able to identify significant indicators associated with the prognostic outcomes of patients with H7N9, characterize the time-to-event process, and predict individual-level daily survival probabilities after admission.
Language	English
Publishing date	2022-02-24
Publishing country	China
Document type	Journal Article
ZDB-ID	2893931-1
ISSN	2305-5847 ; 2305-5839
ISSN (online)	2305-5847
ISSN	2305-5839
DOI	10.21037/atm-21-4126
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Predicting incidence of hepatitis E using machine learning in Jiangsu Province, China.

Cheng, Xiaoqing / Liu, Wendong / Zhang, Xuefeng / Wang, Minghao / Bao, Changjun / Wu, Tianxing

Epidemiology and infection

2022 Volume 150, Page(s) e149

Abstract: Hepatitis E is an increasingly serious worldwide public health problem that has attracted extensive attention. It is necessary to accurately predict the incidence of hepatitis E to better plan ahead for future medical care. In this study, we developed a ... ...

Abstract	Hepatitis E is an increasingly serious worldwide public health problem that has attracted extensive attention. It is necessary to accurately predict the incidence of hepatitis E to better plan ahead for future medical care. In this study, we developed a Bi-LSTM model that incorporated meteorological factors to predict the prevalence of hepatitis E. The hepatitis E data used in this study are collected from January 2005 to March 2017 by Jiangsu Provincial Center for Disease Control and Prevention. ARIMA, GBDT, SVM, LSTM and Bi-LSTM models are adopted in this study. The data from January 2009 to September 2014 are used as the training set to fit models, and data from October 2014 to March 2017 are used as the testing set to evaluate the predicting accuracy of different models. Selecting models and evaluating the effectiveness of the models are based on mean absolute per cent error (MAPE), root mean square error (RMSE) and mean absolute error (MAE). A total of 44 923 cases of hepatitis E are detected in Jiangsu Province from January 2005 to March 2017. The average monthly incidence rate is 0.35 per 100 000 persons in Jiangsu Province. Incorporating meteorological factors of temperature, water vapour pressure, and rainfall as a combination into the Bi-LSTM Model achieved the state-of-the-art performance in predicting the monthly incidence of hepatitis E, in which RMSE is 0.044, MAPE is 11.88%, and MAE is 0.0377. The Bi-LSTM model with the meteorological factors of temperature, water vapour pressure, and rainfall can fully extract the linear and non-linear information in the hepatitis E incidence data, and has significantly improved the interpretability, learning ability, generalisability and prediction accuracy.
MeSH term(s)	China/epidemiology ; Hepatitis E/epidemiology ; Humans ; Incidence ; Machine Learning ; Prevalence
Language	English
Publishing date	2022-07-28
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	632982-2
ISSN	1469-4409 ; 0950-2688
ISSN (online)	1469-4409
ISSN	0950-2688
DOI	10.1017/S0950268822001303
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Un I Zs.271: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

To top

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito