The use of geographic information system as a tool for schistosomiasis surveillance in the province of Davao del Norte, the Philippines

  • Vicente Y. Belizario | vbelizar@yahoo.com College of Public Health, University of the Philippines Manila, Manila, Philippines.
  • John Paul Caesar R. delos Trinos College of Public Health, University of the Philippines Manila, Manila, the Philippines; School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia.
  • Berne Silawan Davao del Norte Provincial Planning and Development Office, Government Center, Tagum City, Philippines.
  • Chiqui M. De Veyra College of Public Health, University of the Philippines Manila, Manila, Philippines.
  • Agapito Hornido Davao del Norte Provincial Health Office, Government Center, Tagum City, Philippines.
  • Hansel Amoguis Department of Health Regional Office XI, Davao City, Philippines.
  • Dominic Basalo Rural Health Unit, Carmen, Philippines.
  • Cherry Dema-ala Rural Health Unit, Braulio Dujali, Philippines.
  • Irenn Mantilla Department of Health Regional Office XI, Davao City, Philippines.
  • Rosele Layan Davao del Norte Provincial Health Office, Government Center, Tagum City, Philippines.

Abstract

Schistosomiasis (SCH) in The Philippines is caused by Schistosoma japonicum and remains endemic in 28 provinces in 12 regions. Effective SCH control requires describing areas at risk where control efforts may be focused. This study aims at demonstrating the utility of geographical information system (GIS) as a tool for SCH surveillance in the province of Davao del Norte. Qualitative and quantitative data on SCH determinants, obtained from local government offices, partner agencies and institutions, were standardised, formatted and incorporated into a GIS map. Atrisk areas are described in terms of determinants and (variables), which included geography and climate (topography, temperature and flood-prone areas), agriculture (irrigation and land use), poverty (percentage of households with income below the poverty threshold), sanitation level (percentage of households with sanitary toilets), intermediate and reservoir hosts (presence of snail colonies and reservoir hosts) as well as prevalence and treatment coverage. Endemic villages (barangays) were generally found to be located in flood-prone areas in the lowlands near major rivers. New Corella has the highest poverty index among the SCH-endemic areas studied as well as the highest number of confirmed snail colonies. Among known endemic localities in Davao del Norte, Tagum City was found to be the only city meeting the poverty index target of <16.6%. Clustering of SCH cases were reported in six barangays ranging from 0.48% (8 out of 1,655) in Braulio Dujali to 2% (25 out of 1,405) in Asuncion. This study demonstrates the utility of GIS in predicting and assessing SCH risk, which allows prioritisation and allocation of control resources and delivery of services in areas at the highest risk for SCH.

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Published
2017-11-06
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Original Articles
Keywords:
Schistosomiasis, Davao del Norte, The Philippines, Spatial information technologies, Geographic information systems
Statistics
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How to Cite
Belizario, V. Y., delos Trinos, J. P. C. R., Silawan, B., De Veyra, C. M., Hornido, A., Amoguis, H., Basalo, D., Dema-ala, C., Mantilla, I., & Layan, R. (2017). The use of geographic information system as a tool for schistosomiasis surveillance in the province of Davao del Norte, the Philippines. Geospatial Health, 12(2). https://doi.org/10.4081/gh.2017.540