Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study
Abstract In order to study the spatial distribution feature of mosquito vectors (vectors of Japanese B Encephalitis (JBE) and malaria) in the village house of Guangxi province, China. The Yuhuachang village, one key mosquito-borne disease surveillance site for mosquito-borne diseases of Guangxi prov...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Liu, Mei-De [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© African Association of Insect Scientists 2022 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of tropical insect science - [Cham] : Springer International Publishing, 2004, 42(2022), 3 vom: 28. Feb., Seite 2297-2304 |
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| Übergeordnetes Werk: |
volume:42 ; year:2022 ; number:3 ; day:28 ; month:02 ; pages:2297-2304 |
| Links: |
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| DOI / URN: |
10.1007/s42690-022-00752-3 |
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| Katalog-ID: |
SPR047088303 |
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| 245 | 1 | 0 | |a Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study |
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| 520 | |a Abstract In order to study the spatial distribution feature of mosquito vectors (vectors of Japanese B Encephalitis (JBE) and malaria) in the village house of Guangxi province, China. The Yuhuachang village, one key mosquito-borne disease surveillance site for mosquito-borne diseases of Guangxi province, was selected as the study site. Mosquito vectors abundance was firstly assessed by Chinese manufactured light-traps in twenty-five village houses in the study site. Then, 3S(GPS-RS-GIS) analysis was performed to do the environmental factors quantitative Analysis. Finally, spatial statistical analysis and generalized linear regression were applied to analyze the relationship of the spatial distribution of mosquito vectors with environmental factors, using SPSS and Geoda (095i). As the results showed, the distribution of both vectors was not spatially auto-correlated. Additionally, the number of pigsty and pig was positively correlated with the density of mosquito vector of JBE, and the area of mid-season rice was positively correlated with density of malaria vector. Thus, this study not only provides a field basis for the prevention of mosquito-borne disease as well as its vector in the study city but also provides useful guidance for the warning aide on JBE and malaria prevention in Guangxi province, China. | ||
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| 700 | 1 | |a Yi, Mi-You |4 aut | |
| 700 | 1 | |a Zhao, Tong-Yan |4 aut | |
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10.1007/s42690-022-00752-3 doi (DE-627)SPR047088303 (SPR)s42690-022-00752-3-e DE-627 ger DE-627 rakwb eng Liu, Mei-De verfasserin (orcid)0000-0001-9613-4772 aut Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © African Association of Insect Scientists 2022 Abstract In order to study the spatial distribution feature of mosquito vectors (vectors of Japanese B Encephalitis (JBE) and malaria) in the village house of Guangxi province, China. The Yuhuachang village, one key mosquito-borne disease surveillance site for mosquito-borne diseases of Guangxi province, was selected as the study site. Mosquito vectors abundance was firstly assessed by Chinese manufactured light-traps in twenty-five village houses in the study site. Then, 3S(GPS-RS-GIS) analysis was performed to do the environmental factors quantitative Analysis. Finally, spatial statistical analysis and generalized linear regression were applied to analyze the relationship of the spatial distribution of mosquito vectors with environmental factors, using SPSS and Geoda (095i). As the results showed, the distribution of both vectors was not spatially auto-correlated. Additionally, the number of pigsty and pig was positively correlated with the density of mosquito vector of JBE, and the area of mid-season rice was positively correlated with density of malaria vector. Thus, this study not only provides a field basis for the prevention of mosquito-borne disease as well as its vector in the study city but also provides useful guidance for the warning aide on JBE and malaria prevention in Guangxi province, China. Spatial distribution (dpeaa)DE-He213 Environmental factor (dpeaa)DE-He213 Guangxi province (dpeaa)DE-He213 China (dpeaa)DE-He213 Li, Chun-Xiao aut Feng, Xiang-Yang aut Dong, Yan-De aut Yi, Mi-You aut Zhao, Tong-Yan aut Enthalten in International journal of tropical insect science [Cham] : Springer International Publishing, 2004 42(2022), 3 vom: 28. Feb., Seite 2297-2304 (DE-627)470546743 (DE-600)2165935-7 1742-7592 nnns volume:42 year:2022 number:3 day:28 month:02 pages:2297-2304 https://dx.doi.org/10.1007/s42690-022-00752-3 lizenzpflichtig 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_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 42 2022 3 28 02 2297-2304 |
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10.1007/s42690-022-00752-3 doi (DE-627)SPR047088303 (SPR)s42690-022-00752-3-e DE-627 ger DE-627 rakwb eng Liu, Mei-De verfasserin (orcid)0000-0001-9613-4772 aut Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © African Association of Insect Scientists 2022 Abstract In order to study the spatial distribution feature of mosquito vectors (vectors of Japanese B Encephalitis (JBE) and malaria) in the village house of Guangxi province, China. The Yuhuachang village, one key mosquito-borne disease surveillance site for mosquito-borne diseases of Guangxi province, was selected as the study site. Mosquito vectors abundance was firstly assessed by Chinese manufactured light-traps in twenty-five village houses in the study site. Then, 3S(GPS-RS-GIS) analysis was performed to do the environmental factors quantitative Analysis. Finally, spatial statistical analysis and generalized linear regression were applied to analyze the relationship of the spatial distribution of mosquito vectors with environmental factors, using SPSS and Geoda (095i). As the results showed, the distribution of both vectors was not spatially auto-correlated. Additionally, the number of pigsty and pig was positively correlated with the density of mosquito vector of JBE, and the area of mid-season rice was positively correlated with density of malaria vector. Thus, this study not only provides a field basis for the prevention of mosquito-borne disease as well as its vector in the study city but also provides useful guidance for the warning aide on JBE and malaria prevention in Guangxi province, China. Spatial distribution (dpeaa)DE-He213 Environmental factor (dpeaa)DE-He213 Guangxi province (dpeaa)DE-He213 China (dpeaa)DE-He213 Li, Chun-Xiao aut Feng, Xiang-Yang aut Dong, Yan-De aut Yi, Mi-You aut Zhao, Tong-Yan aut Enthalten in International journal of tropical insect science [Cham] : Springer International Publishing, 2004 42(2022), 3 vom: 28. Feb., Seite 2297-2304 (DE-627)470546743 (DE-600)2165935-7 1742-7592 nnns volume:42 year:2022 number:3 day:28 month:02 pages:2297-2304 https://dx.doi.org/10.1007/s42690-022-00752-3 lizenzpflichtig 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_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 42 2022 3 28 02 2297-2304 |
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10.1007/s42690-022-00752-3 doi (DE-627)SPR047088303 (SPR)s42690-022-00752-3-e DE-627 ger DE-627 rakwb eng Liu, Mei-De verfasserin (orcid)0000-0001-9613-4772 aut Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © African Association of Insect Scientists 2022 Abstract In order to study the spatial distribution feature of mosquito vectors (vectors of Japanese B Encephalitis (JBE) and malaria) in the village house of Guangxi province, China. The Yuhuachang village, one key mosquito-borne disease surveillance site for mosquito-borne diseases of Guangxi province, was selected as the study site. Mosquito vectors abundance was firstly assessed by Chinese manufactured light-traps in twenty-five village houses in the study site. Then, 3S(GPS-RS-GIS) analysis was performed to do the environmental factors quantitative Analysis. Finally, spatial statistical analysis and generalized linear regression were applied to analyze the relationship of the spatial distribution of mosquito vectors with environmental factors, using SPSS and Geoda (095i). As the results showed, the distribution of both vectors was not spatially auto-correlated. Additionally, the number of pigsty and pig was positively correlated with the density of mosquito vector of JBE, and the area of mid-season rice was positively correlated with density of malaria vector. Thus, this study not only provides a field basis for the prevention of mosquito-borne disease as well as its vector in the study city but also provides useful guidance for the warning aide on JBE and malaria prevention in Guangxi province, China. Spatial distribution (dpeaa)DE-He213 Environmental factor (dpeaa)DE-He213 Guangxi province (dpeaa)DE-He213 China (dpeaa)DE-He213 Li, Chun-Xiao aut Feng, Xiang-Yang aut Dong, Yan-De aut Yi, Mi-You aut Zhao, Tong-Yan aut Enthalten in International journal of tropical insect science [Cham] : Springer International Publishing, 2004 42(2022), 3 vom: 28. Feb., Seite 2297-2304 (DE-627)470546743 (DE-600)2165935-7 1742-7592 nnns volume:42 year:2022 number:3 day:28 month:02 pages:2297-2304 https://dx.doi.org/10.1007/s42690-022-00752-3 lizenzpflichtig 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_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 42 2022 3 28 02 2297-2304 |
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10.1007/s42690-022-00752-3 doi (DE-627)SPR047088303 (SPR)s42690-022-00752-3-e DE-627 ger DE-627 rakwb eng Liu, Mei-De verfasserin (orcid)0000-0001-9613-4772 aut Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © African Association of Insect Scientists 2022 Abstract In order to study the spatial distribution feature of mosquito vectors (vectors of Japanese B Encephalitis (JBE) and malaria) in the village house of Guangxi province, China. The Yuhuachang village, one key mosquito-borne disease surveillance site for mosquito-borne diseases of Guangxi province, was selected as the study site. Mosquito vectors abundance was firstly assessed by Chinese manufactured light-traps in twenty-five village houses in the study site. Then, 3S(GPS-RS-GIS) analysis was performed to do the environmental factors quantitative Analysis. Finally, spatial statistical analysis and generalized linear regression were applied to analyze the relationship of the spatial distribution of mosquito vectors with environmental factors, using SPSS and Geoda (095i). As the results showed, the distribution of both vectors was not spatially auto-correlated. Additionally, the number of pigsty and pig was positively correlated with the density of mosquito vector of JBE, and the area of mid-season rice was positively correlated with density of malaria vector. Thus, this study not only provides a field basis for the prevention of mosquito-borne disease as well as its vector in the study city but also provides useful guidance for the warning aide on JBE and malaria prevention in Guangxi province, China. Spatial distribution (dpeaa)DE-He213 Environmental factor (dpeaa)DE-He213 Guangxi province (dpeaa)DE-He213 China (dpeaa)DE-He213 Li, Chun-Xiao aut Feng, Xiang-Yang aut Dong, Yan-De aut Yi, Mi-You aut Zhao, Tong-Yan aut Enthalten in International journal of tropical insect science [Cham] : Springer International Publishing, 2004 42(2022), 3 vom: 28. Feb., Seite 2297-2304 (DE-627)470546743 (DE-600)2165935-7 1742-7592 nnns volume:42 year:2022 number:3 day:28 month:02 pages:2297-2304 https://dx.doi.org/10.1007/s42690-022-00752-3 lizenzpflichtig 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_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 42 2022 3 28 02 2297-2304 |
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10.1007/s42690-022-00752-3 doi (DE-627)SPR047088303 (SPR)s42690-022-00752-3-e DE-627 ger DE-627 rakwb eng Liu, Mei-De verfasserin (orcid)0000-0001-9613-4772 aut Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © African Association of Insect Scientists 2022 Abstract In order to study the spatial distribution feature of mosquito vectors (vectors of Japanese B Encephalitis (JBE) and malaria) in the village house of Guangxi province, China. The Yuhuachang village, one key mosquito-borne disease surveillance site for mosquito-borne diseases of Guangxi province, was selected as the study site. Mosquito vectors abundance was firstly assessed by Chinese manufactured light-traps in twenty-five village houses in the study site. Then, 3S(GPS-RS-GIS) analysis was performed to do the environmental factors quantitative Analysis. Finally, spatial statistical analysis and generalized linear regression were applied to analyze the relationship of the spatial distribution of mosquito vectors with environmental factors, using SPSS and Geoda (095i). As the results showed, the distribution of both vectors was not spatially auto-correlated. Additionally, the number of pigsty and pig was positively correlated with the density of mosquito vector of JBE, and the area of mid-season rice was positively correlated with density of malaria vector. Thus, this study not only provides a field basis for the prevention of mosquito-borne disease as well as its vector in the study city but also provides useful guidance for the warning aide on JBE and malaria prevention in Guangxi province, China. Spatial distribution (dpeaa)DE-He213 Environmental factor (dpeaa)DE-He213 Guangxi province (dpeaa)DE-He213 China (dpeaa)DE-He213 Li, Chun-Xiao aut Feng, Xiang-Yang aut Dong, Yan-De aut Yi, Mi-You aut Zhao, Tong-Yan aut Enthalten in International journal of tropical insect science [Cham] : Springer International Publishing, 2004 42(2022), 3 vom: 28. Feb., Seite 2297-2304 (DE-627)470546743 (DE-600)2165935-7 1742-7592 nnns volume:42 year:2022 number:3 day:28 month:02 pages:2297-2304 https://dx.doi.org/10.1007/s42690-022-00752-3 lizenzpflichtig 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_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 42 2022 3 28 02 2297-2304 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR047088303</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519092341.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220524s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s42690-022-00752-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR047088303</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42690-022-00752-3-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Liu, Mei-De</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0001-9613-4772</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© African Association of Insect Scientists 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In order to study the spatial distribution feature of mosquito vectors (vectors of Japanese B Encephalitis (JBE) and malaria) in the village house of Guangxi province, China. The Yuhuachang village, one key mosquito-borne disease surveillance site for mosquito-borne diseases of Guangxi province, was selected as the study site. Mosquito vectors abundance was firstly assessed by Chinese manufactured light-traps in twenty-five village houses in the study site. Then, 3S(GPS-RS-GIS) analysis was performed to do the environmental factors quantitative Analysis. Finally, spatial statistical analysis and generalized linear regression were applied to analyze the relationship of the spatial distribution of mosquito vectors with environmental factors, using SPSS and Geoda (095i). As the results showed, the distribution of both vectors was not spatially auto-correlated. Additionally, the number of pigsty and pig was positively correlated with the density of mosquito vector of JBE, and the area of mid-season rice was positively correlated with density of malaria vector. 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Liu, Mei-De |
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Liu, Mei-De misc Spatial distribution misc Environmental factor misc Guangxi province misc China Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study |
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Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study Spatial distribution (dpeaa)DE-He213 Environmental factor (dpeaa)DE-He213 Guangxi province (dpeaa)DE-He213 China (dpeaa)DE-He213 |
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misc Spatial distribution misc Environmental factor misc Guangxi province misc China |
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Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study |
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Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study |
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Liu, Mei-De Li, Chun-Xiao Feng, Xiang-Yang Dong, Yan-De Yi, Mi-You Zhao, Tong-Yan |
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spatial relationship among the density of culex tritaeniorhynchus, anopheles sinensis, human dwellings and pigsty in guangxi, china: modelling study |
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Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study |
| abstract |
Abstract In order to study the spatial distribution feature of mosquito vectors (vectors of Japanese B Encephalitis (JBE) and malaria) in the village house of Guangxi province, China. The Yuhuachang village, one key mosquito-borne disease surveillance site for mosquito-borne diseases of Guangxi province, was selected as the study site. Mosquito vectors abundance was firstly assessed by Chinese manufactured light-traps in twenty-five village houses in the study site. Then, 3S(GPS-RS-GIS) analysis was performed to do the environmental factors quantitative Analysis. Finally, spatial statistical analysis and generalized linear regression were applied to analyze the relationship of the spatial distribution of mosquito vectors with environmental factors, using SPSS and Geoda (095i). As the results showed, the distribution of both vectors was not spatially auto-correlated. Additionally, the number of pigsty and pig was positively correlated with the density of mosquito vector of JBE, and the area of mid-season rice was positively correlated with density of malaria vector. Thus, this study not only provides a field basis for the prevention of mosquito-borne disease as well as its vector in the study city but also provides useful guidance for the warning aide on JBE and malaria prevention in Guangxi province, China. © African Association of Insect Scientists 2022 |
| abstractGer |
Abstract In order to study the spatial distribution feature of mosquito vectors (vectors of Japanese B Encephalitis (JBE) and malaria) in the village house of Guangxi province, China. The Yuhuachang village, one key mosquito-borne disease surveillance site for mosquito-borne diseases of Guangxi province, was selected as the study site. Mosquito vectors abundance was firstly assessed by Chinese manufactured light-traps in twenty-five village houses in the study site. Then, 3S(GPS-RS-GIS) analysis was performed to do the environmental factors quantitative Analysis. Finally, spatial statistical analysis and generalized linear regression were applied to analyze the relationship of the spatial distribution of mosquito vectors with environmental factors, using SPSS and Geoda (095i). As the results showed, the distribution of both vectors was not spatially auto-correlated. Additionally, the number of pigsty and pig was positively correlated with the density of mosquito vector of JBE, and the area of mid-season rice was positively correlated with density of malaria vector. Thus, this study not only provides a field basis for the prevention of mosquito-borne disease as well as its vector in the study city but also provides useful guidance for the warning aide on JBE and malaria prevention in Guangxi province, China. © African Association of Insect Scientists 2022 |
| abstract_unstemmed |
Abstract In order to study the spatial distribution feature of mosquito vectors (vectors of Japanese B Encephalitis (JBE) and malaria) in the village house of Guangxi province, China. The Yuhuachang village, one key mosquito-borne disease surveillance site for mosquito-borne diseases of Guangxi province, was selected as the study site. Mosquito vectors abundance was firstly assessed by Chinese manufactured light-traps in twenty-five village houses in the study site. Then, 3S(GPS-RS-GIS) analysis was performed to do the environmental factors quantitative Analysis. Finally, spatial statistical analysis and generalized linear regression were applied to analyze the relationship of the spatial distribution of mosquito vectors with environmental factors, using SPSS and Geoda (095i). As the results showed, the distribution of both vectors was not spatially auto-correlated. Additionally, the number of pigsty and pig was positively correlated with the density of mosquito vector of JBE, and the area of mid-season rice was positively correlated with density of malaria vector. Thus, this study not only provides a field basis for the prevention of mosquito-borne disease as well as its vector in the study city but also provides useful guidance for the warning aide on JBE and malaria prevention in Guangxi province, China. © African Association of Insect Scientists 2022 |
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| title_short |
Spatial relationship among the density of Culex tritaeniorhynchus, Anopheles sinensis, human dwellings and pigsty in Guangxi, China: modelling study |
| url |
https://dx.doi.org/10.1007/s42690-022-00752-3 |
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| author2 |
Li, Chun-Xiao Feng, Xiang-Yang Dong, Yan-De Yi, Mi-You Zhao, Tong-Yan |
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Li, Chun-Xiao Feng, Xiang-Yang Dong, Yan-De Yi, Mi-You Zhao, Tong-Yan |
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| doi_str |
10.1007/s42690-022-00752-3 |
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2024-07-04T01:48:37.303Z |
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| score |
7.399787 |