Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka

Sumiko Anno, Keiji Imaoka, Takeo Tadono, Tamotsu Igarashi, Subramaniam Sivaganesh, Selvam Kannathasan, Vaithehi Kumaran, Sinnathamby Noble Surendran

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The aim of the present study was to identify geographical areas and time periods of potential clusters of dengue cases based on ecological, socio-economic and demographic factors in northern Sri Lanka from January 2010 to December 2013. Remote sensing (RS) was used to develop an index comprising rainfall, humidity and temperature data. Remote sensing data gathered by the AVNIR-2 instrument onboard the ALOS satellite were used to detect urbanisation, and a digital land cover map was used to extract land cover information. Other data on relevant factors and dengue outbreaks were collected through institutions and extant databases. The analysed RS data and databases were integrated into a geographical information system (GIS) enabling space-time clustering analysis. Our results indicate that increases in the number of combinations of ecological, socio-economic and demographic factors that are present or above the average contribute to significantly high rates of space-time dengue clusters. The spatio-temporal association that consolidates the two kinds of associations into one can ensure a more stable model for forecasting. An integrated spatiotemporal prediction model at a smaller level using ecological, socioeconomic and demographic factors could lead to substantial improvements in dengue control and prevention by allocating the right resources to the appropriate places at the right time.

Original languageEnglish
Pages (from-to)376
Number of pages1
JournalGeospatial health
Volume10
Issue number2
DOIs
Publication statusPublished - 2015

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demographic factors
Sri Lanka
economic factors
remote sensing
land cover
AVNIR
ALOS
socioeconomic factors
environmental factors
urbanization
Geographical Information System
humidity
GIS
rainfall
time
socioeconomics
resource
prediction
resources
temperature

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Anno, S., Imaoka, K., Tadono, T., Igarashi, T., Sivaganesh, S., Kannathasan, S., ... Noble Surendran, S. (2015). Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka. Geospatial health, 10(2), 376. https://doi.org/10.4081/gh.2015.376

Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka. / Anno, Sumiko; Imaoka, Keiji; Tadono, Takeo; Igarashi, Tamotsu; Sivaganesh, Subramaniam; Kannathasan, Selvam; Kumaran, Vaithehi; Noble Surendran, Sinnathamby.

In: Geospatial health, Vol. 10, No. 2, 2015, p. 376.

Research output: Contribution to journalArticle

Anno, S, Imaoka, K, Tadono, T, Igarashi, T, Sivaganesh, S, Kannathasan, S, Kumaran, V & Noble Surendran, S 2015, 'Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka', Geospatial health, vol. 10, no. 2, pp. 376. https://doi.org/10.4081/gh.2015.376
Anno, Sumiko ; Imaoka, Keiji ; Tadono, Takeo ; Igarashi, Tamotsu ; Sivaganesh, Subramaniam ; Kannathasan, Selvam ; Kumaran, Vaithehi ; Noble Surendran, Sinnathamby. / Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka. In: Geospatial health. 2015 ; Vol. 10, No. 2. pp. 376.
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