A Rapid Monitoring and Evaluation Method of Schistosomiasis Based on Spatial Information Technology
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Data Sources
2.3. Overall Process
2.3.1. Extraction of Environmental Factors
2.3.2. Estimation of the Density of Oncomelania Snails
2.3.3. Schistosomiasis Risk Assessment
2.4. Selection of Schistosomiasis-Related Environmental Factors
2.4.1. Extracting Water Distribution
2.4.2. Ground Temperature Calculation
2.4.3. Ground Vegetation Index Calculation
2.4.4. Ground Moisture Calculation
2.5. Establishing/Verifying the Snail Density Model
2.6. Evaluation of Schistosomiasis Risk Area
3. Results and Discussion
3.1. Result of Extraction of Environmental Element
3.2. Results of Snail Density Calculation and Relative Risk Evaluation of Schitosomiasis
Level | Area | Density of Breeding Snails (One/0.11 m2) |
---|---|---|
1 | 2.93 km2 | >27 |
2 | 3.12 km2 | 18~27 |
3 | 1.06 km2 | 9~18 |
4 | 0.94 km2 | 1~9 |
5 | 1.81 km2 | <1 |
3.3. Discussion
3.3.1. Extraction of Environmental Elements
3.3.2. Comprehensive Assessment
3.3.3. Key Factors
4. Conclusions
Supplementary Files
Supplementary File 1Acknowledgments
Author Contributions
Conflicts of Interest
References
- Chen, M. Schistosomiasis in the world and its control progress. Chin. J. Schist. Con. 2002, 14, 81–83. [Google Scholar]
- Engels, D.; Chitsulo, L.; Montresor, A.; Savioli, L. The global epidemiological situation of schistosomiasis and new approaches to control and research. Acta Tropica 2002, 82, 139–146. [Google Scholar] [CrossRef]
- Jiang, M.; Liu, R.; Zhao, Q.; Dong, H.; Guo, Y. Social epidemiological thinking about schistosomiasis. Chin. J. Schist. Con. 2010, 22, 201–205. [Google Scholar]
- Fang, J.; Wu, Z. Prevention and Control of Schistosomiasis in Hunan Province; Hunan People’s Publishing House: Changsha, China, 2000; pp. 128–132. [Google Scholar]
- Zhou, X.N.; Xu, J.; Chen, H.G.; Wang, T.P.; Huang, X.B.; Lin, D.D.; Wang, Q.Z.; Tang, L.; Guo, J.G.; Wu, X.H.; et al. Tools to support policy decisions related to treatment strategies and surveillance of Schistosomiasis Japonica towards elimination. PLoS Negl. Trop. Dis. 2011, 5. [Google Scholar] [CrossRef] [PubMed]
- Tambo, E.; Ugwu, E.C.; Ngogang, J.Y. Need of surveillance response systems to combat Ebola outbreaks and other emerging infectious diseases in African countries. Infect. Dis. Poverty 2014, 3, 1–8. [Google Scholar] [CrossRef] [PubMed]
- Chen, H.; Xie, S.; Zeng, X.; Huang, X.; Wang, T.; Li, Y.; Liang, Y.; Zhou, X. Current endemic situation and control strategy of schistosomiasis in lake and marshland regions in China. Chin. J. Schist. Con. 2011, 23, 5–9. [Google Scholar]
- Levitz, S.; Standley, C.J.; Adriko, M.; Kabatereine, N.B.; Stothard, J.R. Environmental epidemiology of intestinal schistosomiasis and genetic diversity of Schistosomamansoni infections in snails at Bugoigo village, Lake Albert. Actatropica 2013, 128, 284–291. [Google Scholar]
- Yang, G.J.; Vounatsou, P.; Zhou, X.N.; Tanner, M.; Utzinger, J. A Bayesian-based approach for spatio- temporal modeling of county level prevalence of Schistosoma japonicum infection in Jiangsu province, China. Int. J. Parasitol. 2005, 35, 155–162. [Google Scholar] [CrossRef] [PubMed]
- Weng, Q.H. Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. J. Environ. Manage. 2002, 64, 273–284. [Google Scholar] [CrossRef] [PubMed]
- Guo, J.G.; Vounatsou, P.; Cao, C.L.; Utzinger, J.; Zhu, H.Q.; Anderegg, D.; Zhu, R.; He, Z.Y.; Li, D.; Hu, F. A geographic information and remote sensing based model for prediction of oncomelania hupensis habitats in the Poyang Lake area, China. Acta Tropica 2005, 96, 213–222. [Google Scholar] [CrossRef] [PubMed]
- Zhou, X.N.; Guo, J.G.; Wu, X.H. Epidemiology of schistosomiasis in the People’s Republic of China, 2004. Emerg. Infect. Dis. 2007, 13, 1470–1476. [Google Scholar] [CrossRef] [PubMed]
- York, A.M.; Shrestha, M.; Boone, C.G.; Zhang, S.A.; Harrington, J.A.; Prebyl, T.J.; Swann, A.; Agar, M.; Antolin, M.F.; Nolen, B.; et al. Land fragmentation under rapid urbanization: A cross-site analysis of Southwestern cities. Urban Ecosys. 2011, 14, 429–455. [Google Scholar] [CrossRef]
- Odiere, M.R.; Rawago, F.O.; Ombok, M.; Secor, W.E.; Karanja, D.M.S.; Mwinzi, P.N.M.; Lammie, P.J.; Won, K. High prevalence of schistosomiasis in Mbita and its adjacent islands of Lake Victoria, western Kenya. Parasites Vectors 2012, 5. [Google Scholar] [CrossRef] [PubMed]
- Hui, F.M.; Xu, B.; Huang, H.B.; Yu, Q.; Gong, P. Modelling spatial-temporal change of Poyang Lake using multitemporal Landsat imagery. Int. J. Remote Sens. 2008, 29, 5767–5784. [Google Scholar] [CrossRef]
- He, C.Y.; Tian, J.; Shi, P.J.; Hu, D. Simulation of the spatial stress due to urban expansion on the wetlands in Beijing, China using a GIS-based assessment model. Landscape Urban Plan. 2011, 101, 269–277. [Google Scholar] [CrossRef]
- Aljoufie, M.; Zuidgeest, M.; Brussel, M.; Maarseveen, V.M. Spatial-temporal analysis of urban growth and transportation in Jeddah City, Saudi Arabia. Cities 2013, 31, 57–68. [Google Scholar] [CrossRef]
- Clarke, K.C.; McLafferty, S.L.; Tempalski, B.J. On epidemiology and geographic information systems: A review and discussion of future directions. Emerg. Infect. Dis. 1996, 2, 85–92. [Google Scholar] [CrossRef] [PubMed]
- Qiu, J.; Li, R.D.; Xu, X.J. Characteristics analysis of Onocomelaniahupensis’s geographical distribution in Bubei province. Resour. Environ. Yangtze Basin 2012, 21, 100–104. [Google Scholar]
- Tu, M.; Wang, Q. Identifiaction of the distribution area of Oncomelania hupensis by remote sensing. Res. Environ Yangtze Valley 1995, 4, 81–85. [Google Scholar]
- Maszle, D.R.; Whitehead, P.G.; Johnson, R.C. Hydrological studies of schistosomiasis transport in Sichuan Province, China. Sci. Total Environ. 1998, 216, 193–203. [Google Scholar] [CrossRef]
- Seto, E.Y.W.; Wu, W.P.; Qiu, D.C. Impact of soil chemistry on the distribution of Oncomelania hupensis (Gastropoda:Pomatiopsidae) in China. Malacologia 2002, 44, 259–272. [Google Scholar]
- Yang, G.J.; Vounatsou, P.; Zhou, X.N.; Utzinger, J.; Tanner, M. A review of geographic information system and remote sensing with applications to the epidemiology and control of schistosomiasis in China. Actatropica 2005, 96, 117–129. [Google Scholar] [CrossRef] [PubMed]
- Wang, X.H.; Wu, X.H.; Zhou, X.H. Bayesian estimation of community prevalences of Schistosoma japonicum infection in China. Int. J. Parasitol. 2006, 36, 895–902. [Google Scholar] [CrossRef] [PubMed]
- Cross, E.R.; Perrine, R.; Sheffield, C. Predicting areas endemic for schistosomiasis using weather variables and a landsat database. Military Med. 1984, 149, 542–544. [Google Scholar]
- Bavia, M.E.; Hale, L.F.; Malone, J.B. Geographic Information Systems and the Environmental Risk of Schistosomiasis in Bahia, Brazil. Am. J. Trop. Med. Hyg. 1999, 60, 566–572. [Google Scholar] [PubMed]
- Hassan, A.N.; Beck, L.R.; Dister, S. Prediction of villages at risk for filariasis transmission in the Nile Delta using remote sensing and geographic information system technologies. J. Egypt SocParasitol. 1998, 28, 75–87. [Google Scholar]
- Chen, S.P. The change in North China. Remote Sens. Infor. 1991, 3, 13–15. [Google Scholar]
- Zhou, X.N.; Hu, X.S.; Sun, N.S. The possibility of geographic information system applications and the application of monitoring predictive models of schistosomiasis. Chin. J. Schist. Con. 1998, 10, 321–324. [Google Scholar]
- Kun, Y. Construction of Landscape Pattern and Bayesian Combined Model of Schistosomiasis. Ph.D. Thesis, Chinese Center for Disease Control and Prevention, Beijing, China, 2008. [Google Scholar]
- Zhao, F.; Zhang, Z.J.; Wang, H.Y.; Zhou, Y.B.; Peng, W.X.; Jiang, Q.W. Dynamic analysis of distribution of oncomelania hupensis in mountainous regions. Chin. J. Schist. Con. 2010, 22, 35–39. [Google Scholar]
- Wu, X.H.; Zhang, S.Q.; Xu, X.J.; Huang, Y.X.; Steinmann, P.; Utzinger, J.; Wang, T.P.; Xu, J.; Zheng, J.; Zhou, X.N. Effect of floods on the transmission of schistosomiasis in the Yangtze River valley, People’s Republic of China. Parasitol. Int. 2008, 57, 271–276. [Google Scholar] [CrossRef] [PubMed]
- Zhou, X.N. Surveillance and forecast of schistosomiasis transmission in China. Chin. J. Schist. Con. 2009, 21, 341–344. [Google Scholar]
- China Meteorological Science Data Sharing Service. Available online: http://www.escience.gov.cn//metdata/page/index.html (accessed on 10 December 2015).
- Standley, C.J.; Vounatsou, P.; Gosoniu, L.; Mckeon, C.; Adriko, M.; Kabatereine, N.B.; Stothard, J.R. Micro-scale investigation of intestinal schistosomiasis transmission on Ngamba and Kimi islands, Lake Victoria, Uganda. Actatropica 2013, 128, 353–364. [Google Scholar] [CrossRef] [PubMed]
- Gonzalez, R.C.; Wintz, P. Digital Image Processing; Addison Wesley: New Jersey, America, 1977. [Google Scholar]
- Frazier, P.S.; Page, K.J. Water body detection and delineation with Landsat TM data. Photogramm. Eng. Rem. S. 2000, 66, 1461–1467. [Google Scholar]
- Zhang, M. Extracting water-body information with improved model of spectal relationship in a Higher Mountain Area. Geo. Geo. Info. Sci. 2008, 24, 14–16. [Google Scholar]
- Mcfeeters, S.K. The use of normalized difference water index (NDWI) in the delineation of open water features. Int. J. Remote Sens. 1996, 17, 1425–1432. [Google Scholar] [CrossRef]
- Xiong, J.; Wang, S.; Zhou, Y. A sensitivity analysis and accuracy assessment of different water extraction index models based on Alos AVNIR-2 data. Remote Sens. Land Res. 2010, 87, 46–50. [Google Scholar]
- Hinton, J.C. Application of Eigen vector analysis to remote sensing of coastal water quality. Int. J. Remote Sens. 1991, 12, 1441–1460. [Google Scholar] [CrossRef]
- Kloiber, S.M.; Brezonik, P.L.; Bauer, M.E. Application of Landsat imagery to regional scale assessment of lake clarity. Water Res. 2002, 36, 4330–4340. [Google Scholar] [CrossRef]
- Charles, I.; Arnon, K. A review of mixture modeling techniques for sub-pixel land cover estimation. Remote Sens. Rev. 1996, 13, 161–186. [Google Scholar]
- Takahaschi, T.; Mori, K.; Kiseichugaku, Z. Phototactic, thermotactic and geotactic responses of miracidia of Schistosoma japonicum. Japan. J. Parasit. 1961, 10, 686–691. [Google Scholar]
- Qin, Z.; Zhang, M.; Arnon, K.; Pedro, B. Mono-window algorithm for retrieving land surface temperature from Landsat TM6 data. Acta Geographica Sinica. 2001, 56, 456–466. [Google Scholar]
- Zhang, Z.; He, G.; Xiao, R.; Wang, W.; Ouyang, Z. Land surface temperature retrieval based on MODIS and TM data. J. Image. Graph. 2007, 12, 366–370. [Google Scholar]
- Wang, Q.; Tan, Z.; Wang, F. Mono-window algorithm for retrieving land surface temperature based on multi-source remote sensing data. Geo. Geo. Info. Sci. 2012, 28, 24–26. [Google Scholar]
- Tucker, C.J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 1979, 8, 127–150. [Google Scholar] [CrossRef]
- Abdel-Rahman, M.S.; El-Bahy, M.M.; Malone, J.B. Development and validation of a satellites based geographic information system (GIS) model for epidemiology of Schistomiasis risk assessment on snail level in Kafr EI-Sheikh Governorate. J. Egypt. Soc. Parasitol. 1997, 27, 299–316. [Google Scholar] [PubMed]
- De Oliveira, E.C.; dos Santos, E.S.; Zeilhofer, P.; Souza-Santos, R.; Atanaka-Santos, M. Spatial patterns of malaria in a land reform colonization project, Juruena municipality, Mato Grosso, Brazil. Malaria J. 2011, 10. [Google Scholar] [CrossRef] [PubMed]
- Zhang, Z.; Zhou, W.; Zhang, B.; Zhou, Y.; Zhou, X.; Liu, S.; Gong, Z.; Xu, D. Application of remote sensing data from Landsat ETM+ in predicting the schistosomiasis-transmitted-snail’s distribution in marshlands of Jiangning County. J. Fourth Mil. Med. Univ. 2004, 25, 730–733. [Google Scholar]
- Huang, X.Y.; Xie, B.C. Statistics: Methods and Applications; China Renmin University Press: Beijing, China, 2009. [Google Scholar]
- Kleinman, K.P.; Abrams, A.M.; Kulldorff, M.; Platt, R. A model-adjusted space-time scan statistic with an application to syndromic surveillance. Epidemiol. Infect. 2005, 133, 409–419. [Google Scholar] [CrossRef] [PubMed]
- Bergquist, R.; Whittaker, M. Control of neglected tropical diseases in Asia Pacific: Implications for health information priorities. Infect. Dis. Poverty 2012, 1. [Google Scholar] [CrossRef] [PubMed]
- Tambo, E.; Ai, L.; Zhou, X.; Chen, J.H.; Hu, W.; Bergquist, R. Surveillance-response systems: The key to elimination of tropical diseases. Infect. Dis. Poverty 2014, 3, 1–11. [Google Scholar] [CrossRef] [PubMed]
- Zhou, X.N.; Bergquist, R.; Tanner, M. Elimination of tropical disease through surveillance and response. Infect. Dis. Poverty 2013, 2. [Google Scholar] [CrossRef] [PubMed]
- Ming, Y. Study on the Epidemic History of Schistosomiasis in Dongting Lake of Hunan Province. Master’s Thesis, Hunan University of Science and Technology, Hunan, China, 2010. [Google Scholar]
© 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Wang, Y.; Zhuang, D. A Rapid Monitoring and Evaluation Method of Schistosomiasis Based on Spatial Information Technology. Int. J. Environ. Res. Public Health 2015, 12, 15843-15859. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph121215025
Wang Y, Zhuang D. A Rapid Monitoring and Evaluation Method of Schistosomiasis Based on Spatial Information Technology. International Journal of Environmental Research and Public Health. 2015; 12(12):15843-15859. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph121215025
Chicago/Turabian StyleWang, Yong, and Dafang Zhuang. 2015. "A Rapid Monitoring and Evaluation Method of Schistosomiasis Based on Spatial Information Technology" International Journal of Environmental Research and Public Health 12, no. 12: 15843-15859. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph121215025