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...
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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]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2004

Schlagwörter:	Epidemic dengue fever Geographic Information System space-time analysis control strategy French Guiana

Übergeordnetes Werk:	In: Emerging Infectious Diseases - Centers for Disease Control and Prevention, 2003, 10(2004), 4, Seite 615-621
Übergeordnetes Werk:	volume:10 ; year:2004 ; number:4 ; pages:615-621

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.3201/eid1004.030186

Katalog-ID:	DOAJ06825265X

Internformat


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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.
650		4	\|a Epidemic
650		4	\|a dengue fever
650		4	\|a Geographic Information System
650		4	\|a space-time analysis
650		4	\|a control strategy
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912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
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912			\|a GBV_ILN_65
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912			\|a GBV_ILN_95
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912			\|a GBV_ILN_170
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912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_252
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
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912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2009
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912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 10 \|j 2004 \|e 4 \|h 615-621

Indexfelder

author_variant	a t at x d xd p d pd j m jm p r pr f r fr l p lp j g jg
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hierarchy_sort_str	2004
callnumber-subject-code	RC
publishDate	2004
allfields	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
allfieldsSound	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
language	English
source	In Emerging Infectious Diseases 10(2004), 4, Seite 615-621 volume:10 year:2004 number:4 pages:615-621
sourceStr	In Emerging Infectious Diseases 10(2004), 4, Seite 615-621 volume:10 year:2004 number:4 pages:615-621
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Epidemic dengue fever Geographic Information System space-time analysis control strategy French Guiana Medicine R Infectious and parasitic diseases
isfreeaccess_bool	true
container_title	Emerging Infectious Diseases
authorswithroles_txt_mv	Annelise Tran @@aut@@ Xavier Deparis @@aut@@ Philippe Dussart @@aut@@ Jacques Morvan @@aut@@ Patrick Rabarison @@aut@@ Franck Remy @@aut@@ Laurent Polidori @@aut@@ Jacques Gardon @@aut@@
publishDateDaySort_date	2004-01-01T00:00:00Z
hierarchy_top_id	320436217
id	DOAJ06825265X
language_de	englisch
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callnumber-first	R - Medicine
author	Annelise Tran
spellingShingle	Annelise Tran misc RC109-216 misc Epidemic misc dengue fever misc Geographic Information System misc space-time analysis misc control strategy misc French Guiana misc Medicine misc R misc Infectious and parasitic diseases Dengue Spatial and Temporal Patterns, French Guiana, 2001
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topic_title	RC109-216 Dengue Spatial and Temporal Patterns, French Guiana, 2001 Epidemic dengue fever Geographic Information System space-time analysis control strategy French Guiana
topic	misc RC109-216 misc Epidemic misc dengue fever misc Geographic Information System misc space-time analysis misc control strategy misc French Guiana misc Medicine misc R misc Infectious and parasitic diseases
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title	Dengue Spatial and Temporal Patterns, French Guiana, 2001
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title_full	Dengue Spatial and Temporal Patterns, French Guiana, 2001
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title_sort	dengue spatial and temporal patterns, french guiana, 2001
callnumber	RC109-216
title_auth	Dengue Spatial and Temporal Patterns, French Guiana, 2001
abstract	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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title_short	Dengue Spatial and Temporal Patterns, French Guiana, 2001
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Dengue Spatial and Temporal Patterns, French Guiana, 2001

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