Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda

Background A retrospective case-control study was undertaken to examine the spatial risk factors for human brucellosis in Kampala, Uganda. Methods Information on age, sex and month of diagnosis was derived from records from plate agglutination tests undertaken at Mulago Hospital, Kampala. Informatio...
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Autor*in:	Makita, Kohei [verfasserIn] Fèvre, Eric M Waiswa, Charles Kaboyo, Winyi Eisler, Mark C Welburn, Susan C

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2011

Schlagwörter:	Brucellosis Slum Area Disease Cluster Human Brucellosis Mulago Hospital

Anmerkung:	© Makita et al; licensee BioMed Central Ltd. 2011

Übergeordnetes Werk:	Enthalten in: International journal of health geographics - London : BioMed Central, 2002, 10(2011), 1 vom: 01. Okt.
Übergeordnetes Werk:	volume:10 ; year:2011 ; number:1 ; day:01 ; month:10

Links:	Volltext

DOI / URN:	10.1186/1476-072X-10-52

Katalog-ID:	SPR028807944

Internformat


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100	1		\|a Makita, Kohei \|e verfasserin \|4 aut
245	1	0	\|a Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda
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520			\|a Background A retrospective case-control study was undertaken to examine the spatial risk factors for human brucellosis in Kampala, Uganda. Methods Information on age, sex and month of diagnosis was derived from records from plate agglutination tests undertaken at Mulago Hospital, Kampala. Information on Parishes (LC2s) where patients reside was sourced from the outpatient registration book. In-patient fracture cases were selected for use as controls using 1:1 matching based on the age, sex and month of diagnosis. The locations of cases and controls were obtained by calculating Cartesian coordinates of the centroids of Parish level (LC2) polygons and a spatial scan statistic was applied to test for disease clustering. Parishes were classified according to the level of urbanization as urban, peri-urban or rural. Results Significantly more females than males were found to show sero-positivity for brucellosis when compared with the sex ratio of total outpatients, in addition female brucellosis patients were found to be significantly older than the male patients. Spatial clustering of brucellosis cases was observed including around Mulago Hospital (radius = 6.8 km, p = 0.001). The influence of proximity to the hospital that was observed for brucellosis cases was not significantly different from that observed in the controls. The disease cluster was confounded by the different catchment areas between cases and controls. The level of urbanization was not associated with the incidence of brucellosis but living in a slum area was a significant risk factor among urban dwellers (odds ratio 1.97, 95% CI: 1.10-3.61). Conclusions Being female was observed to be a risk factor for brucellosis sero-positvity and among urban dwellers, living in slum areas was also a risk factor although the overall risk was not different among urban, peri-urban and rural areas of the Kampala economic zone.
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allfields	10.1186/1476-072X-10-52 doi (DE-627)SPR028807944 (SPR)1476-072X-10-52-e DE-627 ger DE-627 rakwb eng Makita, Kohei verfasserin aut Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Makita et al; licensee BioMed Central Ltd. 2011 Background A retrospective case-control study was undertaken to examine the spatial risk factors for human brucellosis in Kampala, Uganda. Methods Information on age, sex and month of diagnosis was derived from records from plate agglutination tests undertaken at Mulago Hospital, Kampala. Information on Parishes (LC2s) where patients reside was sourced from the outpatient registration book. In-patient fracture cases were selected for use as controls using 1:1 matching based on the age, sex and month of diagnosis. The locations of cases and controls were obtained by calculating Cartesian coordinates of the centroids of Parish level (LC2) polygons and a spatial scan statistic was applied to test for disease clustering. Parishes were classified according to the level of urbanization as urban, peri-urban or rural. Results Significantly more females than males were found to show sero-positivity for brucellosis when compared with the sex ratio of total outpatients, in addition female brucellosis patients were found to be significantly older than the male patients. Spatial clustering of brucellosis cases was observed including around Mulago Hospital (radius = 6.8 km, p = 0.001). The influence of proximity to the hospital that was observed for brucellosis cases was not significantly different from that observed in the controls. The disease cluster was confounded by the different catchment areas between cases and controls. The level of urbanization was not associated with the incidence of brucellosis but living in a slum area was a significant risk factor among urban dwellers (odds ratio 1.97, 95% CI: 1.10-3.61). Conclusions Being female was observed to be a risk factor for brucellosis sero-positvity and among urban dwellers, living in slum areas was also a risk factor although the overall risk was not different among urban, peri-urban and rural areas of the Kampala economic zone. Brucellosis (dpeaa)DE-He213 Slum Area (dpeaa)DE-He213 Disease Cluster (dpeaa)DE-He213 Human Brucellosis (dpeaa)DE-He213 Mulago Hospital (dpeaa)DE-He213 Fèvre, Eric M aut Waiswa, Charles aut Kaboyo, Winyi aut Eisler, Mark C aut Welburn, Susan C aut Enthalten in International journal of health geographics London : BioMed Central, 2002 10(2011), 1 vom: 01. Okt. (DE-627)355989514 (DE-600)2091613-9 1476-072X nnns volume:10 year:2011 number:1 day:01 month:10 https://dx.doi.org/10.1186/1476-072X-10-52 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_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_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 10 2011 1 01 10
spelling	10.1186/1476-072X-10-52 doi (DE-627)SPR028807944 (SPR)1476-072X-10-52-e DE-627 ger DE-627 rakwb eng Makita, Kohei verfasserin aut Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Makita et al; licensee BioMed Central Ltd. 2011 Background A retrospective case-control study was undertaken to examine the spatial risk factors for human brucellosis in Kampala, Uganda. Methods Information on age, sex and month of diagnosis was derived from records from plate agglutination tests undertaken at Mulago Hospital, Kampala. Information on Parishes (LC2s) where patients reside was sourced from the outpatient registration book. In-patient fracture cases were selected for use as controls using 1:1 matching based on the age, sex and month of diagnosis. The locations of cases and controls were obtained by calculating Cartesian coordinates of the centroids of Parish level (LC2) polygons and a spatial scan statistic was applied to test for disease clustering. Parishes were classified according to the level of urbanization as urban, peri-urban or rural. Results Significantly more females than males were found to show sero-positivity for brucellosis when compared with the sex ratio of total outpatients, in addition female brucellosis patients were found to be significantly older than the male patients. Spatial clustering of brucellosis cases was observed including around Mulago Hospital (radius = 6.8 km, p = 0.001). The influence of proximity to the hospital that was observed for brucellosis cases was not significantly different from that observed in the controls. The disease cluster was confounded by the different catchment areas between cases and controls. The level of urbanization was not associated with the incidence of brucellosis but living in a slum area was a significant risk factor among urban dwellers (odds ratio 1.97, 95% CI: 1.10-3.61). Conclusions Being female was observed to be a risk factor for brucellosis sero-positvity and among urban dwellers, living in slum areas was also a risk factor although the overall risk was not different among urban, peri-urban and rural areas of the Kampala economic zone. Brucellosis (dpeaa)DE-He213 Slum Area (dpeaa)DE-He213 Disease Cluster (dpeaa)DE-He213 Human Brucellosis (dpeaa)DE-He213 Mulago Hospital (dpeaa)DE-He213 Fèvre, Eric M aut Waiswa, Charles aut Kaboyo, Winyi aut Eisler, Mark C aut Welburn, Susan C aut Enthalten in International journal of health geographics London : BioMed Central, 2002 10(2011), 1 vom: 01. Okt. (DE-627)355989514 (DE-600)2091613-9 1476-072X nnns volume:10 year:2011 number:1 day:01 month:10 https://dx.doi.org/10.1186/1476-072X-10-52 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_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_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 10 2011 1 01 10
allfields_unstemmed	10.1186/1476-072X-10-52 doi (DE-627)SPR028807944 (SPR)1476-072X-10-52-e DE-627 ger DE-627 rakwb eng Makita, Kohei verfasserin aut Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Makita et al; licensee BioMed Central Ltd. 2011 Background A retrospective case-control study was undertaken to examine the spatial risk factors for human brucellosis in Kampala, Uganda. Methods Information on age, sex and month of diagnosis was derived from records from plate agglutination tests undertaken at Mulago Hospital, Kampala. Information on Parishes (LC2s) where patients reside was sourced from the outpatient registration book. In-patient fracture cases were selected for use as controls using 1:1 matching based on the age, sex and month of diagnosis. The locations of cases and controls were obtained by calculating Cartesian coordinates of the centroids of Parish level (LC2) polygons and a spatial scan statistic was applied to test for disease clustering. Parishes were classified according to the level of urbanization as urban, peri-urban or rural. Results Significantly more females than males were found to show sero-positivity for brucellosis when compared with the sex ratio of total outpatients, in addition female brucellosis patients were found to be significantly older than the male patients. Spatial clustering of brucellosis cases was observed including around Mulago Hospital (radius = 6.8 km, p = 0.001). The influence of proximity to the hospital that was observed for brucellosis cases was not significantly different from that observed in the controls. The disease cluster was confounded by the different catchment areas between cases and controls. The level of urbanization was not associated with the incidence of brucellosis but living in a slum area was a significant risk factor among urban dwellers (odds ratio 1.97, 95% CI: 1.10-3.61). Conclusions Being female was observed to be a risk factor for brucellosis sero-positvity and among urban dwellers, living in slum areas was also a risk factor although the overall risk was not different among urban, peri-urban and rural areas of the Kampala economic zone. Brucellosis (dpeaa)DE-He213 Slum Area (dpeaa)DE-He213 Disease Cluster (dpeaa)DE-He213 Human Brucellosis (dpeaa)DE-He213 Mulago Hospital (dpeaa)DE-He213 Fèvre, Eric M aut Waiswa, Charles aut Kaboyo, Winyi aut Eisler, Mark C aut Welburn, Susan C aut Enthalten in International journal of health geographics London : BioMed Central, 2002 10(2011), 1 vom: 01. Okt. (DE-627)355989514 (DE-600)2091613-9 1476-072X nnns volume:10 year:2011 number:1 day:01 month:10 https://dx.doi.org/10.1186/1476-072X-10-52 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_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_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 10 2011 1 01 10
allfieldsGer	10.1186/1476-072X-10-52 doi (DE-627)SPR028807944 (SPR)1476-072X-10-52-e DE-627 ger DE-627 rakwb eng Makita, Kohei verfasserin aut Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Makita et al; licensee BioMed Central Ltd. 2011 Background A retrospective case-control study was undertaken to examine the spatial risk factors for human brucellosis in Kampala, Uganda. Methods Information on age, sex and month of diagnosis was derived from records from plate agglutination tests undertaken at Mulago Hospital, Kampala. Information on Parishes (LC2s) where patients reside was sourced from the outpatient registration book. In-patient fracture cases were selected for use as controls using 1:1 matching based on the age, sex and month of diagnosis. The locations of cases and controls were obtained by calculating Cartesian coordinates of the centroids of Parish level (LC2) polygons and a spatial scan statistic was applied to test for disease clustering. Parishes were classified according to the level of urbanization as urban, peri-urban or rural. Results Significantly more females than males were found to show sero-positivity for brucellosis when compared with the sex ratio of total outpatients, in addition female brucellosis patients were found to be significantly older than the male patients. Spatial clustering of brucellosis cases was observed including around Mulago Hospital (radius = 6.8 km, p = 0.001). The influence of proximity to the hospital that was observed for brucellosis cases was not significantly different from that observed in the controls. The disease cluster was confounded by the different catchment areas between cases and controls. The level of urbanization was not associated with the incidence of brucellosis but living in a slum area was a significant risk factor among urban dwellers (odds ratio 1.97, 95% CI: 1.10-3.61). Conclusions Being female was observed to be a risk factor for brucellosis sero-positvity and among urban dwellers, living in slum areas was also a risk factor although the overall risk was not different among urban, peri-urban and rural areas of the Kampala economic zone. Brucellosis (dpeaa)DE-He213 Slum Area (dpeaa)DE-He213 Disease Cluster (dpeaa)DE-He213 Human Brucellosis (dpeaa)DE-He213 Mulago Hospital (dpeaa)DE-He213 Fèvre, Eric M aut Waiswa, Charles aut Kaboyo, Winyi aut Eisler, Mark C aut Welburn, Susan C aut Enthalten in International journal of health geographics London : BioMed Central, 2002 10(2011), 1 vom: 01. Okt. (DE-627)355989514 (DE-600)2091613-9 1476-072X nnns volume:10 year:2011 number:1 day:01 month:10 https://dx.doi.org/10.1186/1476-072X-10-52 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_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_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 10 2011 1 01 10
allfieldsSound	10.1186/1476-072X-10-52 doi (DE-627)SPR028807944 (SPR)1476-072X-10-52-e DE-627 ger DE-627 rakwb eng Makita, Kohei verfasserin aut Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Makita et al; licensee BioMed Central Ltd. 2011 Background A retrospective case-control study was undertaken to examine the spatial risk factors for human brucellosis in Kampala, Uganda. Methods Information on age, sex and month of diagnosis was derived from records from plate agglutination tests undertaken at Mulago Hospital, Kampala. Information on Parishes (LC2s) where patients reside was sourced from the outpatient registration book. In-patient fracture cases were selected for use as controls using 1:1 matching based on the age, sex and month of diagnosis. The locations of cases and controls were obtained by calculating Cartesian coordinates of the centroids of Parish level (LC2) polygons and a spatial scan statistic was applied to test for disease clustering. Parishes were classified according to the level of urbanization as urban, peri-urban or rural. Results Significantly more females than males were found to show sero-positivity for brucellosis when compared with the sex ratio of total outpatients, in addition female brucellosis patients were found to be significantly older than the male patients. Spatial clustering of brucellosis cases was observed including around Mulago Hospital (radius = 6.8 km, p = 0.001). The influence of proximity to the hospital that was observed for brucellosis cases was not significantly different from that observed in the controls. The disease cluster was confounded by the different catchment areas between cases and controls. The level of urbanization was not associated with the incidence of brucellosis but living in a slum area was a significant risk factor among urban dwellers (odds ratio 1.97, 95% CI: 1.10-3.61). Conclusions Being female was observed to be a risk factor for brucellosis sero-positvity and among urban dwellers, living in slum areas was also a risk factor although the overall risk was not different among urban, peri-urban and rural areas of the Kampala economic zone. Brucellosis (dpeaa)DE-He213 Slum Area (dpeaa)DE-He213 Disease Cluster (dpeaa)DE-He213 Human Brucellosis (dpeaa)DE-He213 Mulago Hospital (dpeaa)DE-He213 Fèvre, Eric M aut Waiswa, Charles aut Kaboyo, Winyi aut Eisler, Mark C aut Welburn, Susan C aut Enthalten in International journal of health geographics London : BioMed Central, 2002 10(2011), 1 vom: 01. Okt. (DE-627)355989514 (DE-600)2091613-9 1476-072X nnns volume:10 year:2011 number:1 day:01 month:10 https://dx.doi.org/10.1186/1476-072X-10-52 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_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_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 10 2011 1 01 10
language	English
source	Enthalten in International journal of health geographics 10(2011), 1 vom: 01. Okt. volume:10 year:2011 number:1 day:01 month:10
sourceStr	Enthalten in International journal of health geographics 10(2011), 1 vom: 01. Okt. volume:10 year:2011 number:1 day:01 month:10
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Brucellosis Slum Area Disease Cluster Human Brucellosis Mulago Hospital
isfreeaccess_bool	true
container_title	International journal of health geographics
authorswithroles_txt_mv	Makita, Kohei @@aut@@ Fèvre, Eric M @@aut@@ Waiswa, Charles @@aut@@ Kaboyo, Winyi @@aut@@ Eisler, Mark C @@aut@@ Welburn, Susan C @@aut@@
publishDateDaySort_date	2011-10-01T00:00:00Z
hierarchy_top_id	355989514
id	SPR028807944
language_de	englisch
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Methods Information on age, sex and month of diagnosis was derived from records from plate agglutination tests undertaken at Mulago Hospital, Kampala. Information on Parishes (LC2s) where patients reside was sourced from the outpatient registration book. In-patient fracture cases were selected for use as controls using 1:1 matching based on the age, sex and month of diagnosis. The locations of cases and controls were obtained by calculating Cartesian coordinates of the centroids of Parish level (LC2) polygons and a spatial scan statistic was applied to test for disease clustering. Parishes were classified according to the level of urbanization as urban, peri-urban or rural. Results Significantly more females than males were found to show sero-positivity for brucellosis when compared with the sex ratio of total outpatients, in addition female brucellosis patients were found to be significantly older than the male patients. Spatial clustering of brucellosis cases was observed including around Mulago Hospital (radius = 6.8 km, p = 0.001). The influence of proximity to the hospital that was observed for brucellosis cases was not significantly different from that observed in the controls. The disease cluster was confounded by the different catchment areas between cases and controls. The level of urbanization was not associated with the incidence of brucellosis but living in a slum area was a significant risk factor among urban dwellers (odds ratio 1.97, 95% CI: 1.10-3.61). Conclusions Being female was observed to be a risk factor for brucellosis sero-positvity and among urban dwellers, living in slum areas was also a risk factor although the overall risk was not different among urban, peri-urban and rural areas of the Kampala economic zone.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Brucellosis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Slum Area</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Disease Cluster</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Human Brucellosis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mulago Hospital</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fèvre, Eric M</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Waiswa, Charles</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kaboyo, Winyi</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Eisler, Mark C</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Welburn, Susan C</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of health geographics</subfield><subfield code="d">London : BioMed Central, 2002</subfield><subfield code="g">10(2011), 1 vom: 01. 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author	Makita, Kohei
spellingShingle	Makita, Kohei misc Brucellosis misc Slum Area misc Disease Cluster misc Human Brucellosis misc Mulago Hospital Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda
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topic_title	Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda Brucellosis (dpeaa)DE-He213 Slum Area (dpeaa)DE-He213 Disease Cluster (dpeaa)DE-He213 Human Brucellosis (dpeaa)DE-He213 Mulago Hospital (dpeaa)DE-He213
topic	misc Brucellosis misc Slum Area misc Disease Cluster misc Human Brucellosis misc Mulago Hospital
topic_unstemmed	misc Brucellosis misc Slum Area misc Disease Cluster misc Human Brucellosis misc Mulago Hospital
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title	Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda
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title_full	Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda
author_sort	Makita, Kohei
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author_browse	Makita, Kohei Fèvre, Eric M Waiswa, Charles Kaboyo, Winyi Eisler, Mark C Welburn, Susan C
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title_sort	spatial epidemiology of hospital-diagnosed brucellosis in kampala, uganda
title_auth	Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda
abstract	Background A retrospective case-control study was undertaken to examine the spatial risk factors for human brucellosis in Kampala, Uganda. Methods Information on age, sex and month of diagnosis was derived from records from plate agglutination tests undertaken at Mulago Hospital, Kampala. Information on Parishes (LC2s) where patients reside was sourced from the outpatient registration book. In-patient fracture cases were selected for use as controls using 1:1 matching based on the age, sex and month of diagnosis. The locations of cases and controls were obtained by calculating Cartesian coordinates of the centroids of Parish level (LC2) polygons and a spatial scan statistic was applied to test for disease clustering. Parishes were classified according to the level of urbanization as urban, peri-urban or rural. Results Significantly more females than males were found to show sero-positivity for brucellosis when compared with the sex ratio of total outpatients, in addition female brucellosis patients were found to be significantly older than the male patients. Spatial clustering of brucellosis cases was observed including around Mulago Hospital (radius = 6.8 km, p = 0.001). The influence of proximity to the hospital that was observed for brucellosis cases was not significantly different from that observed in the controls. The disease cluster was confounded by the different catchment areas between cases and controls. The level of urbanization was not associated with the incidence of brucellosis but living in a slum area was a significant risk factor among urban dwellers (odds ratio 1.97, 95% CI: 1.10-3.61). Conclusions Being female was observed to be a risk factor for brucellosis sero-positvity and among urban dwellers, living in slum areas was also a risk factor although the overall risk was not different among urban, peri-urban and rural areas of the Kampala economic zone. © Makita et al; licensee BioMed Central Ltd. 2011
abstractGer	Background A retrospective case-control study was undertaken to examine the spatial risk factors for human brucellosis in Kampala, Uganda. Methods Information on age, sex and month of diagnosis was derived from records from plate agglutination tests undertaken at Mulago Hospital, Kampala. Information on Parishes (LC2s) where patients reside was sourced from the outpatient registration book. In-patient fracture cases were selected for use as controls using 1:1 matching based on the age, sex and month of diagnosis. The locations of cases and controls were obtained by calculating Cartesian coordinates of the centroids of Parish level (LC2) polygons and a spatial scan statistic was applied to test for disease clustering. Parishes were classified according to the level of urbanization as urban, peri-urban or rural. Results Significantly more females than males were found to show sero-positivity for brucellosis when compared with the sex ratio of total outpatients, in addition female brucellosis patients were found to be significantly older than the male patients. Spatial clustering of brucellosis cases was observed including around Mulago Hospital (radius = 6.8 km, p = 0.001). The influence of proximity to the hospital that was observed for brucellosis cases was not significantly different from that observed in the controls. The disease cluster was confounded by the different catchment areas between cases and controls. The level of urbanization was not associated with the incidence of brucellosis but living in a slum area was a significant risk factor among urban dwellers (odds ratio 1.97, 95% CI: 1.10-3.61). Conclusions Being female was observed to be a risk factor for brucellosis sero-positvity and among urban dwellers, living in slum areas was also a risk factor although the overall risk was not different among urban, peri-urban and rural areas of the Kampala economic zone. © Makita et al; licensee BioMed Central Ltd. 2011
abstract_unstemmed	Background A retrospective case-control study was undertaken to examine the spatial risk factors for human brucellosis in Kampala, Uganda. Methods Information on age, sex and month of diagnosis was derived from records from plate agglutination tests undertaken at Mulago Hospital, Kampala. Information on Parishes (LC2s) where patients reside was sourced from the outpatient registration book. In-patient fracture cases were selected for use as controls using 1:1 matching based on the age, sex and month of diagnosis. The locations of cases and controls were obtained by calculating Cartesian coordinates of the centroids of Parish level (LC2) polygons and a spatial scan statistic was applied to test for disease clustering. Parishes were classified according to the level of urbanization as urban, peri-urban or rural. Results Significantly more females than males were found to show sero-positivity for brucellosis when compared with the sex ratio of total outpatients, in addition female brucellosis patients were found to be significantly older than the male patients. Spatial clustering of brucellosis cases was observed including around Mulago Hospital (radius = 6.8 km, p = 0.001). The influence of proximity to the hospital that was observed for brucellosis cases was not significantly different from that observed in the controls. The disease cluster was confounded by the different catchment areas between cases and controls. The level of urbanization was not associated with the incidence of brucellosis but living in a slum area was a significant risk factor among urban dwellers (odds ratio 1.97, 95% CI: 1.10-3.61). Conclusions Being female was observed to be a risk factor for brucellosis sero-positvity and among urban dwellers, living in slum areas was also a risk factor although the overall risk was not different among urban, peri-urban and rural areas of the Kampala economic zone. © Makita et al; licensee BioMed Central Ltd. 2011
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title_short	Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda
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Spatial clustering of brucellosis cases was observed including around Mulago Hospital (radius = 6.8 km, p = 0.001). The influence of proximity to the hospital that was observed for brucellosis cases was not significantly different from that observed in the controls. The disease cluster was confounded by the different catchment areas between cases and controls. The level of urbanization was not associated with the incidence of brucellosis but living in a slum area was a significant risk factor among urban dwellers (odds ratio 1.97, 95% CI: 1.10-3.61). 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Spatial epidemiology of hospital-diagnosed brucellosis in Kampala, Uganda

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