Investigating the spatial micro-epidemiology of diseases within a point-prevalence sample: a field applicable method for rapid mapping of households using low-cost GPS-dataloggers
2011

Mapping Tropical Diseases in Uganda Using GPS

Sample size: 126 publication Evidence: moderate

Author Information

Author(s): Stothard J. Russell, Sousa-Figueiredo Jose C., Betson Martha, Seto Edmund Y.W., Kabatereine Narcis B.

Primary Institution: Liverpool School of Tropical Medicine

Hypothesis

Can low-cost GPS data loggers effectively map the spatial distribution of tropical parasitic diseases in households?

Conclusion

The study demonstrates that GPS data loggers can rapidly and effectively identify the spatial distribution of tropical diseases in a Ugandan village.

Supporting Evidence

  • General prevalence of intestinal schistosomiasis, malaria, and hookworm was recorded in mothers and children.
  • Different spatial patterns of disease were identified, reflecting variations in parasite biology and human behavior.
  • GPS data loggers provided accurate household locations for mapping disease prevalence.

Takeaway

Researchers used GPS devices to find out where people with tropical diseases live in a village, helping to understand how these diseases spread.

Methodology

The study involved mothers and their preschool children in Bukoba village, Uganda, using GPS data loggers to map households and assess disease prevalence.

Potential Biases

Potential bias due to the reliance on self-reported data and the limited sample size.

Limitations

The study faced challenges with GPS device malfunctions and the accuracy of household location data.

Participant Demographics

126 mothers (mean age 29 years) and 247 preschool children (mean age 3 years, 51% male) from Bukoba village.

Statistical Information

Confidence Interval

95% CI

Digital Object Identifier (DOI)

10.1016/j.trstmh.2011.05.007

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