Spatial-Temporal Clustering Characteristics of Dengue in the Northern Region of Sri Lanka, 2010-2013

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

Abstract:

Dengue outbreaks are affected by biological, ecological, socio-economic and demographic factors that vary over time and space. These factors have been examined separately and still require systematic clarification. The present study aimed to investigate the spatial-temporal clustering relationships between these factors and dengue outbreaks in the northern region of Sri Lanka. Remote sensing (RS) data gathered from a plurality of satellites were used to develop an index comprising rainfall, humidity and temperature data. RS data gathered by ALOS/AVNIR-2 were used to detect urbanization, 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 analyzed RS data and databases were integrated into geographic information systems, enabling temporal analysis, spatial statistical analysis and space-time clustering analysis. Our present results showed that increases in the number of the combination of ecological factor and socio-economic and demographic factors with above the average or the presence contribute to significantly high rates of space-time dengue clusters.

Keywords: ALOS/AVNIR-2, Dengue, Space-time clustering analysis, Sri Lanka.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1100480

References:

[1] N. Kanakaratne, W. M. Wahala, W. B.Messer, H. A.Tissera, A. Shahani, N. Abeysinghe, A. M. de-Silva, and M. Gunasekera, “Severe Dengue Epidemics in Sri Lanka, 2003–2006,” Emerging Infectious Diseases, vol. 15, pp. 192–199, 2009.
[2] WHO South East Asia Regional Office, Comprehensive Guidelines for Prevention and Control of Dengue and Dengue Haemorrhagic Fever – Revised and Expanded Edition, New Delhi, 2011.
[3] C. C. Tam, H. Tissera, A. M. de Silva, A. D. De Silva, H. S. Margolis, and A. Amarasinge, “Estimates of Dengue Force of Infection in Children in Colombo, Sri Lanka,” PLOS Neglected Tropical Diseases, vol. 7, pp. 1–7, 2013.
[4] D. V. Canyon, J. L. Hii, and R. Müller, “Adaptation of Aedes aegypti (Diptera: Culicidae) oviposition behavior in response to humidity and diet,” Journal of Insect Physiology, vol. 45, pp. 959–964, 1999.
[5] D. J. Gubler, “Dengue and Dengue Hemorrhagic Fever: Its History and Resurgence as a Global Public Health Problem,” In: Gubler DJ, and Kuno G, eds., Dengue and Dengue Hemorrhagic Fever, CAB International, Wallingford, United Kingdom, pp. 1–22. 1997.
[6] F. Rodhain and L. Rosen, “Mosquito vectors and dengue virus-vector relationships,” In: Gubler DJ, and Kuno G, eds., Dengue and Dengue Hemorrhagic Fever. CAB International, Wallingford, United Kingdom, pp. 45–60, 1997.
[7] C. W. Lian, C. M. Seng, and W. Y. Chai, “Spatial, environmental and entomological risk factor analysis on a rural dengue outbreak in Lundu District in Sarawak, Malaysia,” Tropical Biomedicine, vol. 23, pp. 85–96, 2006.
[8] E. E. Ooi and D. J. Gubler, “Dengue in Southeast Asia: epidemiological characteristics and strategic challenges in disease prevention,” Cadernos de Saúde Pública, vol. 25, pp. 115–124, 2008.
[9] H. P. Tran, J. Adams, J. A. Jeffery, Y. T. Nguyen, N. S. Vu, S. C. Kutcher, B. H. Kay, and P. A. Ryan, “Householder perspectives and preferences on water storage and use, with references to dengue, in the Mekong Delta, southern Vietnam,” International Health, vol. 2, pp. 136–142, 2010.
[10] D. J. Gubler, “Dengue, Urbanization and Globalization: The Unholy Trinity of the 21st Century,” Tropical Medicine and Health, vol. 39, pp. 3–11, 2011.
[11] WHO, “Dengue and Severe Dengue,” Fact Sheet, Nu117, 2012.
[12] K. D. Sharma, R. S. Mahabir, K. M. Curtin, J. M. Sutherland, J. B. Agard, D. D. Chadee, “Exploratory space-time analysis of dengue incidence in Trinidad: a retrospective study using travel hubs as dispersal points, 1998-2004,” Parasites & Vectors, vol. 7, pp. 1–11, 2014.
[13] D. J. Gubler, “Dengue and dengue hemorrhagic fever,” Clinical Microbiology Reviews, vol. 11, pp. 480–496, 1998.
[14] JAXA, JAXA Global Rainfall Watch, 2014. Available: http://sharaku.eorc.jaxa.jp/GSMaP/index.htm
[15] RESTEC, Global Satellite Mapping of Precipitation (GSMaP), 2014. Available: https://www.restec.or.jp/.
[16] JAXA, JAXA Satellite Monitoring for Environmental Studies (JASMES), 2014. Available: http://kuroshio.eorc.jaxa.jp/JASMES/index.html
[17] ISCGM, 2014. International Steering Committee for Global Mapping. Available: https://www.iscgm.org/gmd/
[18] M. Kulldorff, SaTScanTM User Guide for version 9.3, In: Institute NC, editor. 2014, pp. 106.
[19] K. Alemu, A. Worku, Y. Berhane, “Malaria infection has spatial, temporal, and spatiotemporal heterogeneity in unstable malaria transmission areas in northwest Ethiopia,” PLoS One, vol. 8, no. 11, e79966, 2013.