Large Water Management Projects and Schistosomiasis Control, Dongting Lake Region, China

Li, Yuesheng; Raso, Giovanna; Zhao, Zhongwei; He, Yongkang; Ellis, Magda; McManus, Donald P.

doi:10.3201/eid1307.060848

Cited by 78 publications

(78 citation statements)

References 19 publications

(2 reference statements)

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“…Interestingly, the human prevalence rate in the areas where transmission control had not been achieved increased slightly from 4.9% in 1995 to 5.1%, an increase of 3.9%. Several factors have been suggested as underlying causes, such as the unusually severe floods that occurred in 1998 , major demographic and ecological transformations due to waterresource developments and the anti-flooding policy (Xu et al, 2000;Chen, 2002;Jiang et al, 2002;Zheng et al, 2002;Li et al, 2007), the potential impact of climate change (Zhou et al, 2004b;Yang et al, 2005a), health sector reforms Bian et al, 2004), and the termination of the World Bank Loan Project (WBLP) on schistosomiasis control with insufficient attention given to further consolidate achievements made in the 1990s (Yuan et al, 2000;Zhou et al, 2004a).…”

Section: Discussionmentioning

confidence: 99%

“…GIS and RS are suitable tools for the creation of spatially-explicit databases, and the display of relevant data for health policy planning and discussion, guiding interventions and costeffective monitoring at a range of spatial scales (Tatem and Hay, 2004). Schistosomiasis japonica is an important zoonosis in China and The Philippines, whose distribution, prevalence and intensity of infection are particularly sensitive to the climatic and geographical environment (Yang et al, 2005a;Zhou et al, 2005bZhou et al, , 2007bLi et al, 2007;Liang et al, 2007). Table 2.…”

Section: Discussionmentioning

confidence: 99%

“…Sustained control efforts are needed to consolidate the achievements made to date and stepped-up efforts may be necessary to further reduce the number of infections and force of transmission (Bian et al, 2004;Wang et al, 2005;Fenwick and Webster, 2006;Guo et al, 2006;Liang et al, 2006). Transmission of schistosomiasis is closely related to environmental factors (Steinmann et al, 2006;Li et al, 2007;Liang et al, 2007). However, despite a number of recent studies that employed geographical information system (GIS) applications to define transmission factors that relate to control (Bergquist, 2001;Zhou et al, 2001Zhou et al, , 2002Zhou et al, , 2007bYang et al, 2005b;Chen et al, 2007), little is known about the geospatial correlation between human and animal schistosomiasis and their relative contribution to the transmission of the disease.…”

Section: Introductionmentioning

confidence: 99%

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Spatio-temporal correlation between human and bovine schistosomiasis in China: insight from three national sampling surveys

Wang

Utzinger

et al. 2007

Geospat Health

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Abstract. Insight into the spatial and temporal contamination of the environment by bovine faeces in China can provide important information on the significance of bovines in the transmission of human schistosomiasis. This insight will be useful for the new evidence-based strategy of the Chinese national schistosomiasis control programme. To enhance our understanding of the spatio-temporal relationship between the prevalence of human and bovine schistosomiasis, we performed correlation and regression analyses using data from three national sampling surveys on schistosomiasis, carried out in 1989, 1995 and 2004. In addition, we established a geographical information system and performed spatial analyses to identify the high-risk areas of the disease. We found that schistosomiasis is mainly concentrated in the marshlands along the Yangtze River. It was also noted that, although the human prevalence and force of transmission in highly endemic areas has been reduced since 1989, the relative importance of bovine schistosomiasis has increased. This is seen in a declining Spearman correlation coefficient between the infection prevalence in humans and in bovines over time (0.812 in 1989, 0.754 in 1995 and 0.376 in 2004). In parallel, the slope of the linear regression decreased from 0.395 in 1989 to 0.215 in 2004. Our data therefore suggest that future schistosomiasis control efforts in China should more vigorously address the important role of bovines in the transmission of human schistosomiasis, and to reduce the environmental contamination of Schistosoma japonicum eggs by bovines.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatio-temporal correlation between human and bovine schistosomiasis in China: insight from three national sampling surveys

Wang

Utzinger

et al. 2007

Geospat Health

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“…However, local effects such as man-made ecological transformations (e.g. water resources development and management projects; for recent reviews see Steinmann et al 2006 ;Li et al 2007), climate change (Suthers, 2004 ;Yang et al 2005 b ;Zhou et al 2008) or disease control interventions Brooker, 2007) may alter correlation, and hence resulting in non-stationarity.…”

Section: The Issue Of Stationaritymentioning

confidence: 99%

Bayesian geostatistical modelling for mapping schistosomiasis transmission

et al. 2009

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Progress has been made in mapping and predicting the risk of schistosomiasis using Bayesian geostatistical inference. Applications primarily focused on risk profiling of prevalence rather than infection intensity, although the latter is particularly important for morbidity control. In this review, the underlying assumptions used in a study mapping Schistosoma mansoni infection intensity in East Africa are examined. We argue that the assumption of stationarity needs to be relaxed, and that the negative binomial assumption might result in misleading inference because of a high number of excess zeros (individuals without an infection). We developed a Bayesian geostatistical zero-inflated (ZI) regression model that assumes a non-stationary spatial process. Our model is validated with a high-quality georeferenced database from western Côte d'Ivoire, consisting of demographic, environmental, parasitological and socio-economic data. Nearly 40% of the 3818 participating schoolchildren were infected with S. mansoni, and the mean egg count among infected children was 162 eggs per gram of stool (EPG), ranging between 24 and 6768 EPG. Compared to a negative binomial and ZI Poisson and negative binomial models, the Bayesian non-stationary ZI negative binomial model showed a better fit to the data. We conclude that geostatistical ZI models produce more accurate maps of helminth infection intensity than the spatial negative binomial ones.

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“…Invasive water organisms are spreading fast around the globe, damaging agriculture (11). And human activities, such as the Three Gorges Dam construction across the Yangtze River in People's Republic of China, are threatening changes in ecology and setbacks in schistosomiasis control (12).…”

mentioning

confidence: 99%

Rowing on the Schuylkill, Damming on the Yangtze

Potter

2007

Emerg. Infect. Dis.

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Large Water Management Projects and Schistosomiasis Control, Dongting Lake Region, China

Cited by 78 publications

References 19 publications

Spatio-temporal correlation between human and bovine schistosomiasis in China: insight from three national sampling surveys

Spatio-temporal correlation between human and bovine schistosomiasis in China: insight from three national sampling surveys

Bayesian geostatistical modelling for mapping schistosomiasis transmission

Rowing on the Schuylkill, Damming on the Yangtze

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