Bacillary Dysentery

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Chengdong Xu - One of the best experts on this subject based on the ideXlab platform.

  • spatiotemporal risk of Bacillary Dysentery and sensitivity to meteorological factors in hunan province china
    International Journal of Environmental Research and Public Health, 2017
    Co-Authors: Chengdong Xu, Gexin Xiao, Jinfeng Wang, Xiangxue Zhang, Jinjun Liang
    Abstract:

    Bacillary Dysentery remains a public health concern in the world. Hunan Province is one of the provinces having the highest risk of Bacillary Dysentery in China, however, the spatial-temporal distribution, variation of Bacillary Dysentery and sensitivity to meteorological factors in there are unclear. In this paper, a Bayesian space-time hierarchical model (BSTHM) was used to detect space-time variation, and effects of meteorological factors between 2010 and 2015. The risk of Bacillary Dysentery showed apparent spatial-temporal heterogeneity. The highest risk occurred in the summer season. Economically undeveloped mountainous areas in the west and south of the province had the highest incidence rates. Twenty three (18.9%) and 20 (16.4%) counties were identified as hot and cold spots, respectively. Among the hotspots, 11 counties (47.8%) exhibited a rapidly decreasing trend, suggesting they may become low-risk areas in the future. Of the cold spot counties, six (30%) showed a slowly decreasing trend, and may have a higher risk in the future. Among meteorological factors, air temperature, relative humidity, and wind speed all played a significant role in the spatial-temporal distribution of Bacillary Dysentery risk. These findings can contribute to the implementation of an early warning system for controlling and preventing Bacillary Dysentery.

  • spatial temporal detection of risk factors for Bacillary Dysentery in beijing tianjin and hebei china
    BMC Public Health, 2017
    Co-Authors: Chengdong Xu, Jinfeng Wang, Yuanyuan Li, Gexin Xiao
    Abstract:

    Background Bacillary Dysentery is the third leading notifiable disease and remains a major public health concern in China. The Beijing–Tianjin–Hebei urban region is the biggest urban agglomeration in northern China, and it is one of the areas in the country that is most heavily infected with Bacillary Dysentery. The objective of the study was to analyze the spatial-temporal pattern and to determine any contributory risk factors on the Bacillary Dysentery.

  • spatial temporal pattern and risk factor analysis of Bacillary Dysentery in the beijing tianjin tangshan urban region of china
    BMC Public Health, 2014
    Co-Authors: Gexin Xiao, Chengdong Xu, Jinfeng Wang, Dongyang Yang, Li Wang
    Abstract:

    Background Bacillary Dysentery remains a major public health concern in China. The Beijing–Tianjin–Tangshan urban region is one of the most heavily infected areas in the country. This study aimed to analyze epidemiological features of Bacillary Dysentery, detect spatial-temporal clusters of the disease, and analyze risk factors that may affect Bacillary Dysentery incidence in the region.

Gexin Xiao - One of the best experts on this subject based on the ideXlab platform.

  • spatiotemporal risk of Bacillary Dysentery and sensitivity to meteorological factors in hunan province china
    International Journal of Environmental Research and Public Health, 2017
    Co-Authors: Chengdong Xu, Gexin Xiao, Jinfeng Wang, Xiangxue Zhang, Jinjun Liang
    Abstract:

    Bacillary Dysentery remains a public health concern in the world. Hunan Province is one of the provinces having the highest risk of Bacillary Dysentery in China, however, the spatial-temporal distribution, variation of Bacillary Dysentery and sensitivity to meteorological factors in there are unclear. In this paper, a Bayesian space-time hierarchical model (BSTHM) was used to detect space-time variation, and effects of meteorological factors between 2010 and 2015. The risk of Bacillary Dysentery showed apparent spatial-temporal heterogeneity. The highest risk occurred in the summer season. Economically undeveloped mountainous areas in the west and south of the province had the highest incidence rates. Twenty three (18.9%) and 20 (16.4%) counties were identified as hot and cold spots, respectively. Among the hotspots, 11 counties (47.8%) exhibited a rapidly decreasing trend, suggesting they may become low-risk areas in the future. Of the cold spot counties, six (30%) showed a slowly decreasing trend, and may have a higher risk in the future. Among meteorological factors, air temperature, relative humidity, and wind speed all played a significant role in the spatial-temporal distribution of Bacillary Dysentery risk. These findings can contribute to the implementation of an early warning system for controlling and preventing Bacillary Dysentery.

  • spatial temporal detection of risk factors for Bacillary Dysentery in beijing tianjin and hebei china
    BMC Public Health, 2017
    Co-Authors: Chengdong Xu, Jinfeng Wang, Yuanyuan Li, Gexin Xiao
    Abstract:

    Background Bacillary Dysentery is the third leading notifiable disease and remains a major public health concern in China. The Beijing–Tianjin–Hebei urban region is the biggest urban agglomeration in northern China, and it is one of the areas in the country that is most heavily infected with Bacillary Dysentery. The objective of the study was to analyze the spatial-temporal pattern and to determine any contributory risk factors on the Bacillary Dysentery.

  • spatial temporal pattern and risk factor analysis of Bacillary Dysentery in the beijing tianjin tangshan urban region of china
    BMC Public Health, 2014
    Co-Authors: Gexin Xiao, Chengdong Xu, Jinfeng Wang, Dongyang Yang, Li Wang
    Abstract:

    Background Bacillary Dysentery remains a major public health concern in China. The Beijing–Tianjin–Tangshan urban region is one of the most heavily infected areas in the country. This study aimed to analyze epidemiological features of Bacillary Dysentery, detect spatial-temporal clusters of the disease, and analyze risk factors that may affect Bacillary Dysentery incidence in the region.

Jinfeng Wang - One of the best experts on this subject based on the ideXlab platform.

  • spatiotemporal risk of Bacillary Dysentery and sensitivity to meteorological factors in hunan province china
    International Journal of Environmental Research and Public Health, 2017
    Co-Authors: Chengdong Xu, Gexin Xiao, Jinfeng Wang, Xiangxue Zhang, Jinjun Liang
    Abstract:

    Bacillary Dysentery remains a public health concern in the world. Hunan Province is one of the provinces having the highest risk of Bacillary Dysentery in China, however, the spatial-temporal distribution, variation of Bacillary Dysentery and sensitivity to meteorological factors in there are unclear. In this paper, a Bayesian space-time hierarchical model (BSTHM) was used to detect space-time variation, and effects of meteorological factors between 2010 and 2015. The risk of Bacillary Dysentery showed apparent spatial-temporal heterogeneity. The highest risk occurred in the summer season. Economically undeveloped mountainous areas in the west and south of the province had the highest incidence rates. Twenty three (18.9%) and 20 (16.4%) counties were identified as hot and cold spots, respectively. Among the hotspots, 11 counties (47.8%) exhibited a rapidly decreasing trend, suggesting they may become low-risk areas in the future. Of the cold spot counties, six (30%) showed a slowly decreasing trend, and may have a higher risk in the future. Among meteorological factors, air temperature, relative humidity, and wind speed all played a significant role in the spatial-temporal distribution of Bacillary Dysentery risk. These findings can contribute to the implementation of an early warning system for controlling and preventing Bacillary Dysentery.

  • spatial temporal detection of risk factors for Bacillary Dysentery in beijing tianjin and hebei china
    BMC Public Health, 2017
    Co-Authors: Chengdong Xu, Jinfeng Wang, Yuanyuan Li, Gexin Xiao
    Abstract:

    Background Bacillary Dysentery is the third leading notifiable disease and remains a major public health concern in China. The Beijing–Tianjin–Hebei urban region is the biggest urban agglomeration in northern China, and it is one of the areas in the country that is most heavily infected with Bacillary Dysentery. The objective of the study was to analyze the spatial-temporal pattern and to determine any contributory risk factors on the Bacillary Dysentery.

  • spatial temporal pattern and risk factor analysis of Bacillary Dysentery in the beijing tianjin tangshan urban region of china
    BMC Public Health, 2014
    Co-Authors: Gexin Xiao, Chengdong Xu, Jinfeng Wang, Dongyang Yang, Li Wang
    Abstract:

    Background Bacillary Dysentery remains a major public health concern in China. The Beijing–Tianjin–Tangshan urban region is one of the most heavily infected areas in the country. This study aimed to analyze epidemiological features of Bacillary Dysentery, detect spatial-temporal clusters of the disease, and analyze risk factors that may affect Bacillary Dysentery incidence in the region.

Li Wang - One of the best experts on this subject based on the ideXlab platform.

Baofa Jiang - One of the best experts on this subject based on the ideXlab platform.

  • projected burden of disease for Bacillary Dysentery due to flood events in guangxi china
    Science of The Total Environment, 2017
    Co-Authors: Guoyong Ding, Baofa Jiang
    Abstract:

    Many researchers have been studying the influence of floods on intestinal infection in recent years. This study aimed to project the future disease burden of Bacillary Dysentery associated with floods in Guangxi, China. Relying on the longitudinal data, a generalized additive mixed model was applied to quantify the relationship between the monthly morbidity of Bacillary Dysentery and floods with two severity levels from 2004 to 2010, controlling for other meteorological variables. Years Lived with Disability (YLDs) was used as the measure of the burden of Bacillary Dysentery in the future of Guangxi, China. According to the generalized additive mixed model, the relative risks (RR) of moderate and severe floods on the morbidity of Bacillary Dysentery were 1.17 (95% CI: 1.03–1.33) and 1.39 (95% CI: 1.14–1.70), respectively. The regression analysis also indicated that the flood duration was negatively associated with the morbidity of Bacillary Dysentery (with RR: 0.63, 95% CI: 0.44–0.90). Considering the effects of floods only, compared with the YLDs in 2010, increasing flood events may lead to a 4.0% increase in the YLDs for Bacillary Dysentery by 2020, 2100, 0.0% by 2050, and an 8.0% increase by 2030 in Guangxi, if other factors remain constant. Considering all potential changes include floods, temperature and population size, the YLDs for Bacillary Dysentery may increase by up to 16.0% by 2020, 20.0% by 2030, 2050, and 0.0% by 2100, compared to that in 2010 under the moderate flood scenario; Under the severe flood scenario, the YLDs for Bacillary Dysentery may increase by up to 16.0% by 2020, 20.0% by 2030, 2050, and 4.0% by 2100.

  • quantifying the impact of floods on Bacillary Dysentery in dalian city china from 2004 to 2010
    Disaster Medicine and Public Health Preparedness, 2017
    Co-Authors: Xin Xu, Ying Zhang, Guoyong Ding, Baofa Jiang
    Abstract:

    Objective Studies quantifying relationships between floods and diarrheal diseases have mainly been conducted in low-latitude regions. It’s therefore increasingly important to examine these relationships in midlatitude regions, where they may have significant public health implications. This study aimed to examine the association between floods and Bacillary Dysentery in the city of Dalian, China. Methods A generalized additive mixed model was applied to examine the association between floods and Bacillary Dysentery. The relative risk (RR) of flood impact on Bacillary Dysentery was estimated. Results A total of 18,976 cases of Bacillary Dysentery were reported in Dalian during the study period. Two weeks’ lagged effect was detected from the impact of floods on Bacillary Dysentery. The RR of flood impact on Bacillary Dysentery was 1.17 (95% CI: 1.03-1.33). Conclusions Floods have significantly increased the risk of Bacillary Dysentery in Dalian. More studies should focus on the association between floods and infectious diseases in different regions. Our findings have significant implications for managing the negative health impact of floods in the midlatitude region of China. ( Disaster Med Public Health Preparedness . 2017;11:190–195)

  • the effects of floods on the incidence of Bacillary Dysentery in baise guangxi province china from 2004 to 2012
    International Journal of Environmental Research and Public Health, 2017
    Co-Authors: Ying Zhang, Baofa Jiang
    Abstract:

    Research shows potential effects of floods on intestinal infections. Baise, a city in Guangxi Province (China) had experienced several floods between 2004 and 2012 due to heavy and constant precipitation. This study aimed to examine the relationship between floods and the incidence of Bacillary Dysentery in Baise. A mixed generalized additive model and Spearman correlation were applied to analyze the relationship between monthly incidence of Bacillary Dysentery and 14 flood events with two severity levels. Data collected from 2004 to 2010 were utilized to estimate the parameters, whereas data from 2011 to 2012 were used to validate the model. There were in total 9255 cases of Bacillary Dysentery included in our analyses. According to the mixed generalized additive model, the relative risks (RR) of moderate and severe floods on the incidence of Bacillary Dysentery were 1.40 (95% confidence interval (CI): 1.16–1.69) and 1.78 (95% CI: 1.61–1.97), respectively. The regression analysis also indicated that the flood duration was negatively associated with the incidence of Bacillary Dysentery (with RR: 0.57, 95% CI: 0.40–0.86). Therfore, this research suggests that floods exert a significant part in enhancing the risk of Bacillary Dysentery in Baise. Moreover, severe floods have a higher proportional contribution to the incidence of Bacillary Dysentery than moderate floods. In addition, short-term floods may contribute more to the incidence of Bacillary Dysentery than a long-term flood. The findings from this research will provide more evidence to reduce health risks related to floods.

  • distributed lag effects and vulnerable groups of floods on Bacillary Dysentery in huaihua china
    Scientific Reports, 2016
    Co-Authors: Jing Li, Ying Zhang, Guoyong Ding, Xin Xu, Baofa Jiang
    Abstract:

    Understanding the potential links between floods and Bacillary Dysentery in China is important to develop appropriate intervention programs after floods. This study aimed to explore the distributed lag effects of floods on Bacillary Dysentery and to identify the vulnerable groups in Huaihua, China. Weekly number of Bacillary Dysentery cases from 2005–2011 were obtained during flood season. Flood data and meteorological data over the same period were obtained from the China Meteorological Data Sharing Service System. To examine the distributed lag effects, a generalized linear mixed model combined with a distributed lag non-linear model were developed to assess the relationship between floods and Bacillary Dysentery. A total of 3,709 cases of Bacillary Dysentery were notified over the study period. The effects of floods on Bacillary Dysentery continued for approximately 3 weeks with a cumulative risk ratio equal to 1.52 (95% CI: 1.08–2.12). The risks of Bacillary Dysentery were higher in females, farmers and people aged 15–64 years old. This study suggests floods have increased the risk of Bacillary Dysentery with 3 weeks’ effects, especially for the vulnerable groups identified. Public health programs should be taken to prevent and control a potential risk of Bacillary Dysentery after floods.

  • Study on influence of floods on Bacillary Dysentery incidence in Liaoning province, 2004 -2010
    Chinese journal of epidemiology, 2016
    Co-Authors: Xin Xu, Han Db, Xu Yq, Baofa Jiang
    Abstract:

    Objective To understand the influence of floods on Bacillary Dysentery in Liaoning province. Methods The monthly surveillance data of Bacillary Dysentery, floods, meteorological and demographic data in Liaoning from 2004 to 2010 were collected. Panel Poisson regression analysis was conducted to evaluate the influence of floods on the incidence of Bacillary Dysentery in Liaoning. Results The mean monthly morbidity of Bacillary Dysentery was 2.17 per 100 000 during the study period, the Bacillary Dysentery cases mainly occurred in during July-September. Spearman correlation analysis showed that no lagged effect was detected in the influence of floods on the incidence of Bacillary Dysentery. After adjusting the influence of meteorological factors, panel data analysis showed that the influence of floods on the incidence of Bacillary Dysentery existed and the incidence rate ratio was 1.439 4(95%CI: 1.408 1-1.471 4). Conclusion Floods could significantly increase the risk of Bacillary Dysentery for population in Liaoning. Key words: Bacillary Dysentery; Floods; Panel data

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