Validation of three geolocation strategies for health-facility attendees for research and public health surveillance in a rural setting in western Kenya.
Understanding the spatial distribution of disease is critical for effective disease control. Where formal address networks do not exist, tracking spatial patterns of clinical disease is difficult. Geolocation strategies were tested at rural health facilities in western Kenya. Methods included geocoding residence by head of compound, participatory mapping and recording the self-reported nearest landmark. Geocoding was able to locate 72·9% [95% confidence interval (CI) 67·7-77·6] of individuals to within 250 m of the true compound location. The participatory mapping exercise was able to correctly locate 82·0% of compounds (95% CI 78·9-84·8) to a 2 × 2·5 km area with a 500 m buffer. The self-reported nearest landmark was able to locate 78·1% (95% CI 73·8-82·1) of compounds to the correct catchment area. These strategies tested provide options for quickly obtaining spatial information on individuals presenting at health facilities.
Department of Immunology & Infection, Faculty of Infectious & Tropical Diseases,London School of Hygiene & Tropical Medicine,London,UK.
G H
GH
Stresman
Department of Disease Control, Faculty of Infectious & Tropical Diseases,London School of Hygiene & Tropical Medicine, London,UK.
J C
JC
Stevenson
Kenya Medical Research Institute,Centre for Global Health Research, Kisumu,Kenya.
C
C
Owaga
Kenya Medical Research Institute,Centre for Global Health Research, Kisumu,Kenya.
E
E
Marube
Kenya Medical Research Institute,Centre for Global Health Research, Kisumu,Kenya.
C
C
Anyango
Department of Immunology & Infection, Faculty of Infectious & Tropical Diseases,London School of Hygiene & Tropical Medicine,London,UK.
C
C
Drakeley
Department of Immunology & Infection, Faculty of Infectious & Tropical Diseases,London School of Hygiene & Tropical Medicine,London,UK.
T
T
Bousema
Department of Disease Control, Faculty of Infectious & Tropical Diseases,London School of Hygiene & Tropical Medicine, London,UK.
J
J
Cox
D003710:Demography; D040362:Geographic Information Systems; D006297:Health Services Accessibility / Q000706:statistics & numerical data*; D006302:Health Services Research / Q000379:methods*; D006801:Humans; D007630:Kenya / Q000453:epidemiology; D011635:Public Health Administration / Q000379:methods*; D012111:Residence Characteristics / Q000706:statistics & numerical data; D019035:Rural Health Services / Q000706:statistics & numerical data; D012424:Rural Population