Spatial-Temporal Clustering Characteristics of Dengue in the Northern Region of Sri Lanka, 2010-2013
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.
[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.
[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.
@article{"International Journal of Earth, Energy and Environmental Sciences:69651", author = "Sumiko Anno and Keiji Imaoka and Takeo Tadono and Tamotsu Igarashi and Subramaniam Sivaganesh and Selvam Kannathasan and Vaithehi Kumaran and Sinnathamby Noble Surendran", title = "Spatial-Temporal Clustering Characteristics of Dengue in the Northern Region of Sri Lanka, 2010-2013", 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.", volume = "9", number = "5", pages = "430-4", }
