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Spatial analysis of sleeping sickness, southeastern Uganda, 1970-2003.

Berrang-Ford L, Berke O, Abdelrahman L, Waltner-Toews D, McDermott J - Emerging Infect. Dis. (2006)

Bottom Line: It has continued to spread north into new districts, and gaps remain in the understanding of the causes of its spread and distribution.Data were used to develop incidence maps over time, conduct space-time cluster detection analyses, and develop a velocity vector map to visualize spread of sleeping sickness over time in southeastern Uganda.Results show rapid propagation of sleeping sickness from its epicenter in southern Iganga District and its spread north into new districts and foci.

View Article: PubMed Central - PubMed

Affiliation: Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada. berrang1@uoguelph.ca

ABSTRACT
Sleeping sickness re-emerged in southeastern Uganda in the 1970s and remains a public health problem. It has continued to spread north into new districts, and gaps remain in the understanding of the causes of its spread and distribution. We report the distribution and magnitude of sleeping sickness in southeastern Uganda from 1970 to 2003. Data were collected from records of the Ugandan Ministry of Health, individual sleeping sickness treatment centers, and interviews with public health officials. Data were used to develop incidence maps over time, conduct space-time cluster detection analyses, and develop a velocity vector map to visualize spread of sleeping sickness over time in southeastern Uganda. Results show rapid propagation of sleeping sickness from its epicenter in southern Iganga District and its spread north into new districts and foci.

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Related in: MedlinePlus

Sleeping sickness incidence, southeastern Uganda, 1970–1975, by subcounty. Circle indicates a significant space-time cluster at the 95% confidence level, as detected by the space-time scan test. See Table for scan test results.
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Figure 4: Sleeping sickness incidence, southeastern Uganda, 1970–1975, by subcounty. Circle indicates a significant space-time cluster at the 95% confidence level, as detected by the space-time scan test. See Table for scan test results.

Mentions: Figures 4,5, 6,7, and 8 show maps of the average annual sleeping sickness incidence (T. b. rhodesiense) per subcounty in each of the 5 study periods. Legends for the 5 maps are consistent. Each map includes the location of significant (α = 5%) primary and secondary space-time clusters. Results of cluster detection analyses are discussed below for each interval period and are summarized in the Table. Dominant trends in cluster results were insensitive to maximum cluster size.


Spatial analysis of sleeping sickness, southeastern Uganda, 1970-2003.

Berrang-Ford L, Berke O, Abdelrahman L, Waltner-Toews D, McDermott J - Emerging Infect. Dis. (2006)

Sleeping sickness incidence, southeastern Uganda, 1970–1975, by subcounty. Circle indicates a significant space-time cluster at the 95% confidence level, as detected by the space-time scan test. See Table for scan test results.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3293436&req=5

Figure 4: Sleeping sickness incidence, southeastern Uganda, 1970–1975, by subcounty. Circle indicates a significant space-time cluster at the 95% confidence level, as detected by the space-time scan test. See Table for scan test results.
Mentions: Figures 4,5, 6,7, and 8 show maps of the average annual sleeping sickness incidence (T. b. rhodesiense) per subcounty in each of the 5 study periods. Legends for the 5 maps are consistent. Each map includes the location of significant (α = 5%) primary and secondary space-time clusters. Results of cluster detection analyses are discussed below for each interval period and are summarized in the Table. Dominant trends in cluster results were insensitive to maximum cluster size.

Bottom Line: It has continued to spread north into new districts, and gaps remain in the understanding of the causes of its spread and distribution.Data were used to develop incidence maps over time, conduct space-time cluster detection analyses, and develop a velocity vector map to visualize spread of sleeping sickness over time in southeastern Uganda.Results show rapid propagation of sleeping sickness from its epicenter in southern Iganga District and its spread north into new districts and foci.

View Article: PubMed Central - PubMed

Affiliation: Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada. berrang1@uoguelph.ca

ABSTRACT
Sleeping sickness re-emerged in southeastern Uganda in the 1970s and remains a public health problem. It has continued to spread north into new districts, and gaps remain in the understanding of the causes of its spread and distribution. We report the distribution and magnitude of sleeping sickness in southeastern Uganda from 1970 to 2003. Data were collected from records of the Ugandan Ministry of Health, individual sleeping sickness treatment centers, and interviews with public health officials. Data were used to develop incidence maps over time, conduct space-time cluster detection analyses, and develop a velocity vector map to visualize spread of sleeping sickness over time in southeastern Uganda. Results show rapid propagation of sleeping sickness from its epicenter in southern Iganga District and its spread north into new districts and foci.

Show MeSH
Related in: MedlinePlus