Spatial-temporal variations of Schistosoma japonicum distribution after an integrated national control strategy: a cohort in a marshland area of China
Background Schistosomiasis transmission is typically focal. Understanding spatial variations of Schistosoma infections and their associated factors is important to help to invent site-specific intervention strategies. Methods A five-year longitudinal study was carried out prospectively in 12 natural...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhou, Yi-Biao [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
Geographical information system |
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| Anmerkung: |
© Zhou et al.; licensee BioMed Central Ltd. 2013 |
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| Übergeordnetes Werk: |
Enthalten in: BMC public health - London : BioMed Central, 2001, 13(2013), 1 vom: 04. Apr. |
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| Übergeordnetes Werk: |
volume:13 ; year:2013 ; number:1 ; day:04 ; month:04 |
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| DOI / URN: |
10.1186/1471-2458-13-297 |
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| Katalog-ID: |
SPR027879380 |
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| 520 | |a Background Schistosomiasis transmission is typically focal. Understanding spatial variations of Schistosoma infections and their associated factors is important to help to invent site-specific intervention strategies. Methods A five-year longitudinal study was carried out prospectively in 12 natural villages, Guichi district of Anhui province. A GIS-based spatial analysis was conducted to identify geographic distribution patterns of schistosomiasis infections at the household scale. Results The results of the spatial autocorrelation analysis for 2005 showed that there were significant spatial clusters of human infections at the household level, and these results were in agreement with that of the spatial scan statistic. As prevalence of infections in humans decreased over the course of control, the spatial distribution of these infections became less heterogeneous. Conclusions The findings imply that it may be necessary to re-assess risk factors of S. japonicum transmission over the course of control and to adjust accordingly control measures in the communities. | ||
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| 650 | 4 | |a Spatial scan statistic |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a He, Zong-Gui |4 aut | |
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10.1186/1471-2458-13-297 doi (DE-627)SPR027879380 (SPR)1471-2458-13-297-e DE-627 ger DE-627 rakwb eng Zhou, Yi-Biao verfasserin aut Spatial-temporal variations of Schistosoma japonicum distribution after an integrated national control strategy: a cohort in a marshland area of China 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Zhou et al.; licensee BioMed Central Ltd. 2013 Background Schistosomiasis transmission is typically focal. Understanding spatial variations of Schistosoma infections and their associated factors is important to help to invent site-specific intervention strategies. Methods A five-year longitudinal study was carried out prospectively in 12 natural villages, Guichi district of Anhui province. A GIS-based spatial analysis was conducted to identify geographic distribution patterns of schistosomiasis infections at the household scale. Results The results of the spatial autocorrelation analysis for 2005 showed that there were significant spatial clusters of human infections at the household level, and these results were in agreement with that of the spatial scan statistic. As prevalence of infections in humans decreased over the course of control, the spatial distribution of these infections became less heterogeneous. Conclusions The findings imply that it may be necessary to re-assess risk factors of S. japonicum transmission over the course of control and to adjust accordingly control measures in the communities. Schistosomiasis (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Geographical information system (dpeaa)DE-He213 Spatial-temporal distribution (dpeaa)DE-He213 Spatial autocorrelation analysis (dpeaa)DE-He213 Spatial scan statistic (dpeaa)DE-He213 Liang, Song aut Chen, Geng-Xin aut Rea, Chris aut Han, Shi-Min aut He, Zong-Gui aut Li, Yuan-Pei aut Wei, Jian-Guo aut Zhao, Gen-Ming aut Jiang, Qing-Wu aut Enthalten in BMC public health London : BioMed Central, 2001 13(2013), 1 vom: 04. Apr. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:13 year:2013 number:1 day:04 month:04 https://dx.doi.org/10.1186/1471-2458-13-297 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 1 04 04 |
| spelling |
10.1186/1471-2458-13-297 doi (DE-627)SPR027879380 (SPR)1471-2458-13-297-e DE-627 ger DE-627 rakwb eng Zhou, Yi-Biao verfasserin aut Spatial-temporal variations of Schistosoma japonicum distribution after an integrated national control strategy: a cohort in a marshland area of China 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Zhou et al.; licensee BioMed Central Ltd. 2013 Background Schistosomiasis transmission is typically focal. Understanding spatial variations of Schistosoma infections and their associated factors is important to help to invent site-specific intervention strategies. Methods A five-year longitudinal study was carried out prospectively in 12 natural villages, Guichi district of Anhui province. A GIS-based spatial analysis was conducted to identify geographic distribution patterns of schistosomiasis infections at the household scale. Results The results of the spatial autocorrelation analysis for 2005 showed that there were significant spatial clusters of human infections at the household level, and these results were in agreement with that of the spatial scan statistic. As prevalence of infections in humans decreased over the course of control, the spatial distribution of these infections became less heterogeneous. Conclusions The findings imply that it may be necessary to re-assess risk factors of S. japonicum transmission over the course of control and to adjust accordingly control measures in the communities. Schistosomiasis (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Geographical information system (dpeaa)DE-He213 Spatial-temporal distribution (dpeaa)DE-He213 Spatial autocorrelation analysis (dpeaa)DE-He213 Spatial scan statistic (dpeaa)DE-He213 Liang, Song aut Chen, Geng-Xin aut Rea, Chris aut Han, Shi-Min aut He, Zong-Gui aut Li, Yuan-Pei aut Wei, Jian-Guo aut Zhao, Gen-Ming aut Jiang, Qing-Wu aut Enthalten in BMC public health London : BioMed Central, 2001 13(2013), 1 vom: 04. Apr. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:13 year:2013 number:1 day:04 month:04 https://dx.doi.org/10.1186/1471-2458-13-297 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 1 04 04 |
| allfields_unstemmed |
10.1186/1471-2458-13-297 doi (DE-627)SPR027879380 (SPR)1471-2458-13-297-e DE-627 ger DE-627 rakwb eng Zhou, Yi-Biao verfasserin aut Spatial-temporal variations of Schistosoma japonicum distribution after an integrated national control strategy: a cohort in a marshland area of China 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Zhou et al.; licensee BioMed Central Ltd. 2013 Background Schistosomiasis transmission is typically focal. Understanding spatial variations of Schistosoma infections and their associated factors is important to help to invent site-specific intervention strategies. Methods A five-year longitudinal study was carried out prospectively in 12 natural villages, Guichi district of Anhui province. A GIS-based spatial analysis was conducted to identify geographic distribution patterns of schistosomiasis infections at the household scale. Results The results of the spatial autocorrelation analysis for 2005 showed that there were significant spatial clusters of human infections at the household level, and these results were in agreement with that of the spatial scan statistic. As prevalence of infections in humans decreased over the course of control, the spatial distribution of these infections became less heterogeneous. Conclusions The findings imply that it may be necessary to re-assess risk factors of S. japonicum transmission over the course of control and to adjust accordingly control measures in the communities. Schistosomiasis (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Geographical information system (dpeaa)DE-He213 Spatial-temporal distribution (dpeaa)DE-He213 Spatial autocorrelation analysis (dpeaa)DE-He213 Spatial scan statistic (dpeaa)DE-He213 Liang, Song aut Chen, Geng-Xin aut Rea, Chris aut Han, Shi-Min aut He, Zong-Gui aut Li, Yuan-Pei aut Wei, Jian-Guo aut Zhao, Gen-Ming aut Jiang, Qing-Wu aut Enthalten in BMC public health London : BioMed Central, 2001 13(2013), 1 vom: 04. Apr. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:13 year:2013 number:1 day:04 month:04 https://dx.doi.org/10.1186/1471-2458-13-297 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 1 04 04 |
| allfieldsGer |
10.1186/1471-2458-13-297 doi (DE-627)SPR027879380 (SPR)1471-2458-13-297-e DE-627 ger DE-627 rakwb eng Zhou, Yi-Biao verfasserin aut Spatial-temporal variations of Schistosoma japonicum distribution after an integrated national control strategy: a cohort in a marshland area of China 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Zhou et al.; licensee BioMed Central Ltd. 2013 Background Schistosomiasis transmission is typically focal. Understanding spatial variations of Schistosoma infections and their associated factors is important to help to invent site-specific intervention strategies. Methods A five-year longitudinal study was carried out prospectively in 12 natural villages, Guichi district of Anhui province. A GIS-based spatial analysis was conducted to identify geographic distribution patterns of schistosomiasis infections at the household scale. Results The results of the spatial autocorrelation analysis for 2005 showed that there were significant spatial clusters of human infections at the household level, and these results were in agreement with that of the spatial scan statistic. As prevalence of infections in humans decreased over the course of control, the spatial distribution of these infections became less heterogeneous. Conclusions The findings imply that it may be necessary to re-assess risk factors of S. japonicum transmission over the course of control and to adjust accordingly control measures in the communities. Schistosomiasis (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Geographical information system (dpeaa)DE-He213 Spatial-temporal distribution (dpeaa)DE-He213 Spatial autocorrelation analysis (dpeaa)DE-He213 Spatial scan statistic (dpeaa)DE-He213 Liang, Song aut Chen, Geng-Xin aut Rea, Chris aut Han, Shi-Min aut He, Zong-Gui aut Li, Yuan-Pei aut Wei, Jian-Guo aut Zhao, Gen-Ming aut Jiang, Qing-Wu aut Enthalten in BMC public health London : BioMed Central, 2001 13(2013), 1 vom: 04. Apr. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:13 year:2013 number:1 day:04 month:04 https://dx.doi.org/10.1186/1471-2458-13-297 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 1 04 04 |
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10.1186/1471-2458-13-297 doi (DE-627)SPR027879380 (SPR)1471-2458-13-297-e DE-627 ger DE-627 rakwb eng Zhou, Yi-Biao verfasserin aut Spatial-temporal variations of Schistosoma japonicum distribution after an integrated national control strategy: a cohort in a marshland area of China 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Zhou et al.; licensee BioMed Central Ltd. 2013 Background Schistosomiasis transmission is typically focal. Understanding spatial variations of Schistosoma infections and their associated factors is important to help to invent site-specific intervention strategies. Methods A five-year longitudinal study was carried out prospectively in 12 natural villages, Guichi district of Anhui province. A GIS-based spatial analysis was conducted to identify geographic distribution patterns of schistosomiasis infections at the household scale. Results The results of the spatial autocorrelation analysis for 2005 showed that there were significant spatial clusters of human infections at the household level, and these results were in agreement with that of the spatial scan statistic. As prevalence of infections in humans decreased over the course of control, the spatial distribution of these infections became less heterogeneous. Conclusions The findings imply that it may be necessary to re-assess risk factors of S. japonicum transmission over the course of control and to adjust accordingly control measures in the communities. Schistosomiasis (dpeaa)DE-He213 Intervention (dpeaa)DE-He213 Geographical information system (dpeaa)DE-He213 Spatial-temporal distribution (dpeaa)DE-He213 Spatial autocorrelation analysis (dpeaa)DE-He213 Spatial scan statistic (dpeaa)DE-He213 Liang, Song aut Chen, Geng-Xin aut Rea, Chris aut Han, Shi-Min aut He, Zong-Gui aut Li, Yuan-Pei aut Wei, Jian-Guo aut Zhao, Gen-Ming aut Jiang, Qing-Wu aut Enthalten in BMC public health London : BioMed Central, 2001 13(2013), 1 vom: 04. Apr. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:13 year:2013 number:1 day:04 month:04 https://dx.doi.org/10.1186/1471-2458-13-297 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 1 04 04 |
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Zhou, Yi-Biao Liang, Song Chen, Geng-Xin Rea, Chris Han, Shi-Min He, Zong-Gui Li, Yuan-Pei Wei, Jian-Guo Zhao, Gen-Ming Jiang, Qing-Wu |
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spatial-temporal variations of schistosoma japonicum distribution after an integrated national control strategy: a cohort in a marshland area of china |
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Spatial-temporal variations of Schistosoma japonicum distribution after an integrated national control strategy: a cohort in a marshland area of China |
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Background Schistosomiasis transmission is typically focal. Understanding spatial variations of Schistosoma infections and their associated factors is important to help to invent site-specific intervention strategies. Methods A five-year longitudinal study was carried out prospectively in 12 natural villages, Guichi district of Anhui province. A GIS-based spatial analysis was conducted to identify geographic distribution patterns of schistosomiasis infections at the household scale. Results The results of the spatial autocorrelation analysis for 2005 showed that there were significant spatial clusters of human infections at the household level, and these results were in agreement with that of the spatial scan statistic. As prevalence of infections in humans decreased over the course of control, the spatial distribution of these infections became less heterogeneous. Conclusions The findings imply that it may be necessary to re-assess risk factors of S. japonicum transmission over the course of control and to adjust accordingly control measures in the communities. © Zhou et al.; licensee BioMed Central Ltd. 2013 |
| abstractGer |
Background Schistosomiasis transmission is typically focal. Understanding spatial variations of Schistosoma infections and their associated factors is important to help to invent site-specific intervention strategies. Methods A five-year longitudinal study was carried out prospectively in 12 natural villages, Guichi district of Anhui province. A GIS-based spatial analysis was conducted to identify geographic distribution patterns of schistosomiasis infections at the household scale. Results The results of the spatial autocorrelation analysis for 2005 showed that there were significant spatial clusters of human infections at the household level, and these results were in agreement with that of the spatial scan statistic. As prevalence of infections in humans decreased over the course of control, the spatial distribution of these infections became less heterogeneous. Conclusions The findings imply that it may be necessary to re-assess risk factors of S. japonicum transmission over the course of control and to adjust accordingly control measures in the communities. © Zhou et al.; licensee BioMed Central Ltd. 2013 |
| abstract_unstemmed |
Background Schistosomiasis transmission is typically focal. Understanding spatial variations of Schistosoma infections and their associated factors is important to help to invent site-specific intervention strategies. Methods A five-year longitudinal study was carried out prospectively in 12 natural villages, Guichi district of Anhui province. A GIS-based spatial analysis was conducted to identify geographic distribution patterns of schistosomiasis infections at the household scale. Results The results of the spatial autocorrelation analysis for 2005 showed that there were significant spatial clusters of human infections at the household level, and these results were in agreement with that of the spatial scan statistic. As prevalence of infections in humans decreased over the course of control, the spatial distribution of these infections became less heterogeneous. Conclusions The findings imply that it may be necessary to re-assess risk factors of S. japonicum transmission over the course of control and to adjust accordingly control measures in the communities. © Zhou et al.; licensee BioMed Central Ltd. 2013 |
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Spatial-temporal variations of Schistosoma japonicum distribution after an integrated national control strategy: a cohort in a marshland area of China |
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