Dengue Spatial and Temporal Patterns, French Guiana, 2001
To study a 2001 dengue fever outbreak in Iracoubo, French Guiana, we recorded the location of all patients’ homes and the date when symptoms were first observed. A geographic information system was used to integrate the patient-related information. The Knox test, a classic space-time analysis techni...
Ausführliche Beschreibung
Autor*in: |
Annelise Tran [verfasserIn] Xavier Deparis [verfasserIn] Philippe Dussart [verfasserIn] Jacques Morvan [verfasserIn] Patrick Rabarison [verfasserIn] Franck Remy [verfasserIn] Laurent Polidori [verfasserIn] Jacques Gardon [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2004 |
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Übergeordnetes Werk: |
In: Emerging Infectious Diseases - Centers for Disease Control and Prevention, 2003, 10(2004), 4, Seite 615-621 |
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Übergeordnetes Werk: |
volume:10 ; year:2004 ; number:4 ; pages:615-621 |
Links: |
Link aufrufen |
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DOI / URN: |
10.3201/eid1004.030186 |
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Katalog-ID: |
DOAJ06825265X |
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520 | |a To study a 2001 dengue fever outbreak in Iracoubo, French Guiana, we recorded the location of all patients’ homes and the date when symptoms were first observed. A geographic information system was used to integrate the patient-related information. The Knox test, a classic space-time analysis technique, was used to detect spatiotemporal clustering. Analysis of the relative-risk (RR) variations when space and time distances vary, highlighted the maximum space and time extent of a dengue transmission focus. The results show that heterogeneity in the RR variations in space and time corresponds to known entomologic and epidemiologic factors, such as the mosquito feeding cycle and host-seeking behavior. This finding demonstrates the relevance and potential of the use of GIS and spatial statistics for elaborating a dengue fever surveillance strategy. | ||
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10.3201/eid1004.030186 doi (DE-627)DOAJ06825265X (DE-599)DOAJb126e4cc573e47af94160032966271a1 DE-627 ger DE-627 rakwb eng RC109-216 Annelise Tran verfasserin aut Dengue Spatial and Temporal Patterns, French Guiana, 2001 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To study a 2001 dengue fever outbreak in Iracoubo, French Guiana, we recorded the location of all patients’ homes and the date when symptoms were first observed. A geographic information system was used to integrate the patient-related information. The Knox test, a classic space-time analysis technique, was used to detect spatiotemporal clustering. Analysis of the relative-risk (RR) variations when space and time distances vary, highlighted the maximum space and time extent of a dengue transmission focus. The results show that heterogeneity in the RR variations in space and time corresponds to known entomologic and epidemiologic factors, such as the mosquito feeding cycle and host-seeking behavior. This finding demonstrates the relevance and potential of the use of GIS and spatial statistics for elaborating a dengue fever surveillance strategy. Epidemic dengue fever Geographic Information System space-time analysis control strategy French Guiana Medicine R Infectious and parasitic diseases Xavier Deparis verfasserin aut Philippe Dussart verfasserin aut Jacques Morvan verfasserin aut Patrick Rabarison verfasserin aut Franck Remy verfasserin aut Laurent Polidori verfasserin aut Jacques Gardon verfasserin aut In Emerging Infectious Diseases Centers for Disease Control and Prevention, 2003 10(2004), 4, Seite 615-621 (DE-627)320436217 (DE-600)2004375-2 10806059 nnns volume:10 year:2004 number:4 pages:615-621 https://doi.org/10.3201/eid1004.030186 kostenfrei https://doaj.org/article/b126e4cc573e47af94160032966271a1 kostenfrei https://wwwnc.cdc.gov/eid/article/10/4/03-0186_article kostenfrei https://doaj.org/toc/1080-6040 Journal toc kostenfrei https://doaj.org/toc/1080-6059 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_252 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_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_2147 GBV_ILN_2148 GBV_ILN_2153 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 10 2004 4 615-621 |
spelling |
10.3201/eid1004.030186 doi (DE-627)DOAJ06825265X (DE-599)DOAJb126e4cc573e47af94160032966271a1 DE-627 ger DE-627 rakwb eng RC109-216 Annelise Tran verfasserin aut Dengue Spatial and Temporal Patterns, French Guiana, 2001 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To study a 2001 dengue fever outbreak in Iracoubo, French Guiana, we recorded the location of all patients’ homes and the date when symptoms were first observed. A geographic information system was used to integrate the patient-related information. The Knox test, a classic space-time analysis technique, was used to detect spatiotemporal clustering. Analysis of the relative-risk (RR) variations when space and time distances vary, highlighted the maximum space and time extent of a dengue transmission focus. The results show that heterogeneity in the RR variations in space and time corresponds to known entomologic and epidemiologic factors, such as the mosquito feeding cycle and host-seeking behavior. This finding demonstrates the relevance and potential of the use of GIS and spatial statistics for elaborating a dengue fever surveillance strategy. Epidemic dengue fever Geographic Information System space-time analysis control strategy French Guiana Medicine R Infectious and parasitic diseases Xavier Deparis verfasserin aut Philippe Dussart verfasserin aut Jacques Morvan verfasserin aut Patrick Rabarison verfasserin aut Franck Remy verfasserin aut Laurent Polidori verfasserin aut Jacques Gardon verfasserin aut In Emerging Infectious Diseases Centers for Disease Control and Prevention, 2003 10(2004), 4, Seite 615-621 (DE-627)320436217 (DE-600)2004375-2 10806059 nnns volume:10 year:2004 number:4 pages:615-621 https://doi.org/10.3201/eid1004.030186 kostenfrei https://doaj.org/article/b126e4cc573e47af94160032966271a1 kostenfrei https://wwwnc.cdc.gov/eid/article/10/4/03-0186_article kostenfrei https://doaj.org/toc/1080-6040 Journal toc kostenfrei https://doaj.org/toc/1080-6059 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_252 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_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_2147 GBV_ILN_2148 GBV_ILN_2153 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 10 2004 4 615-621 |
allfields_unstemmed |
10.3201/eid1004.030186 doi (DE-627)DOAJ06825265X (DE-599)DOAJb126e4cc573e47af94160032966271a1 DE-627 ger DE-627 rakwb eng RC109-216 Annelise Tran verfasserin aut Dengue Spatial and Temporal Patterns, French Guiana, 2001 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To study a 2001 dengue fever outbreak in Iracoubo, French Guiana, we recorded the location of all patients’ homes and the date when symptoms were first observed. A geographic information system was used to integrate the patient-related information. The Knox test, a classic space-time analysis technique, was used to detect spatiotemporal clustering. Analysis of the relative-risk (RR) variations when space and time distances vary, highlighted the maximum space and time extent of a dengue transmission focus. The results show that heterogeneity in the RR variations in space and time corresponds to known entomologic and epidemiologic factors, such as the mosquito feeding cycle and host-seeking behavior. This finding demonstrates the relevance and potential of the use of GIS and spatial statistics for elaborating a dengue fever surveillance strategy. Epidemic dengue fever Geographic Information System space-time analysis control strategy French Guiana Medicine R Infectious and parasitic diseases Xavier Deparis verfasserin aut Philippe Dussart verfasserin aut Jacques Morvan verfasserin aut Patrick Rabarison verfasserin aut Franck Remy verfasserin aut Laurent Polidori verfasserin aut Jacques Gardon verfasserin aut In Emerging Infectious Diseases Centers for Disease Control and Prevention, 2003 10(2004), 4, Seite 615-621 (DE-627)320436217 (DE-600)2004375-2 10806059 nnns volume:10 year:2004 number:4 pages:615-621 https://doi.org/10.3201/eid1004.030186 kostenfrei https://doaj.org/article/b126e4cc573e47af94160032966271a1 kostenfrei https://wwwnc.cdc.gov/eid/article/10/4/03-0186_article kostenfrei https://doaj.org/toc/1080-6040 Journal toc kostenfrei https://doaj.org/toc/1080-6059 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_252 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_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_2147 GBV_ILN_2148 GBV_ILN_2153 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 10 2004 4 615-621 |
allfieldsGer |
10.3201/eid1004.030186 doi (DE-627)DOAJ06825265X (DE-599)DOAJb126e4cc573e47af94160032966271a1 DE-627 ger DE-627 rakwb eng RC109-216 Annelise Tran verfasserin aut Dengue Spatial and Temporal Patterns, French Guiana, 2001 2004 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To study a 2001 dengue fever outbreak in Iracoubo, French Guiana, we recorded the location of all patients’ homes and the date when symptoms were first observed. A geographic information system was used to integrate the patient-related information. The Knox test, a classic space-time analysis technique, was used to detect spatiotemporal clustering. Analysis of the relative-risk (RR) variations when space and time distances vary, highlighted the maximum space and time extent of a dengue transmission focus. The results show that heterogeneity in the RR variations in space and time corresponds to known entomologic and epidemiologic factors, such as the mosquito feeding cycle and host-seeking behavior. This finding demonstrates the relevance and potential of the use of GIS and spatial statistics for elaborating a dengue fever surveillance strategy. Epidemic dengue fever Geographic Information System space-time analysis control strategy French Guiana Medicine R Infectious and parasitic diseases Xavier Deparis verfasserin aut Philippe Dussart verfasserin aut Jacques Morvan verfasserin aut Patrick Rabarison verfasserin aut Franck Remy verfasserin aut Laurent Polidori verfasserin aut Jacques Gardon verfasserin aut In Emerging Infectious Diseases Centers for Disease Control and Prevention, 2003 10(2004), 4, Seite 615-621 (DE-627)320436217 (DE-600)2004375-2 10806059 nnns volume:10 year:2004 number:4 pages:615-621 https://doi.org/10.3201/eid1004.030186 kostenfrei https://doaj.org/article/b126e4cc573e47af94160032966271a1 kostenfrei https://wwwnc.cdc.gov/eid/article/10/4/03-0186_article kostenfrei https://doaj.org/toc/1080-6040 Journal toc kostenfrei https://doaj.org/toc/1080-6059 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_252 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_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_2147 GBV_ILN_2148 GBV_ILN_2153 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 10 2004 4 615-621 |
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Dengue Spatial and Temporal Patterns, French Guiana, 2001 |
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Dengue Spatial and Temporal Patterns, French Guiana, 2001 |
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Annelise Tran Xavier Deparis Philippe Dussart Jacques Morvan Patrick Rabarison Franck Remy Laurent Polidori Jacques Gardon |
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Dengue Spatial and Temporal Patterns, French Guiana, 2001 |
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To study a 2001 dengue fever outbreak in Iracoubo, French Guiana, we recorded the location of all patients’ homes and the date when symptoms were first observed. A geographic information system was used to integrate the patient-related information. The Knox test, a classic space-time analysis technique, was used to detect spatiotemporal clustering. Analysis of the relative-risk (RR) variations when space and time distances vary, highlighted the maximum space and time extent of a dengue transmission focus. The results show that heterogeneity in the RR variations in space and time corresponds to known entomologic and epidemiologic factors, such as the mosquito feeding cycle and host-seeking behavior. This finding demonstrates the relevance and potential of the use of GIS and spatial statistics for elaborating a dengue fever surveillance strategy. |
abstractGer |
To study a 2001 dengue fever outbreak in Iracoubo, French Guiana, we recorded the location of all patients’ homes and the date when symptoms were first observed. A geographic information system was used to integrate the patient-related information. The Knox test, a classic space-time analysis technique, was used to detect spatiotemporal clustering. Analysis of the relative-risk (RR) variations when space and time distances vary, highlighted the maximum space and time extent of a dengue transmission focus. The results show that heterogeneity in the RR variations in space and time corresponds to known entomologic and epidemiologic factors, such as the mosquito feeding cycle and host-seeking behavior. This finding demonstrates the relevance and potential of the use of GIS and spatial statistics for elaborating a dengue fever surveillance strategy. |
abstract_unstemmed |
To study a 2001 dengue fever outbreak in Iracoubo, French Guiana, we recorded the location of all patients’ homes and the date when symptoms were first observed. A geographic information system was used to integrate the patient-related information. The Knox test, a classic space-time analysis technique, was used to detect spatiotemporal clustering. Analysis of the relative-risk (RR) variations when space and time distances vary, highlighted the maximum space and time extent of a dengue transmission focus. The results show that heterogeneity in the RR variations in space and time corresponds to known entomologic and epidemiologic factors, such as the mosquito feeding cycle and host-seeking behavior. This finding demonstrates the relevance and potential of the use of GIS and spatial statistics for elaborating a dengue fever surveillance strategy. |
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Dengue Spatial and Temporal Patterns, French Guiana, 2001 |
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