Space-time clusters of dengue fever in Bangladesh

Shahera Banu, Wenbiao Hu, Cameron Hurst, Yuming Guo, Mohammad Zahirul Islam, Shilu Tong

Research output: Contribution to journalArticleResearchpeer-review

21 Citations (Scopus)

Abstract

Objective To examine the space-time clustering of dengue fever (DF) transmission in Bangladesh using geographical information system and spatial scan statistics (SaTScan). Methods We obtained data on monthly suspected DF cases and deaths by district in Bangladesh for the period of 2000-2009 from Directorate General of Health Services. Population and district boundary data of each district were collected from national census managed by Bangladesh Bureau of Statistics. To identify the space-time clusters of DF transmission a discrete Poisson model was performed using SaTScan software. Results Space-time distribution of DF transmission was clustered during three periods 2000-2002, 2003-2005 and 2006-2009. Dhaka was the most likely cluster for DF in all three periods. Several other districts were significant secondary clusters. However, the geographical range of DF transmission appears to have declined in Bangladesh over the last decade. Conclusion There were significant space-time clusters of DF in Bangladesh over the last decade. Our results would prompt future studies to explore how social and ecological factors may affect DF transmission and would also be useful for improving DF control and prevention programs in Bangladesh.

Original languageEnglish
Pages (from-to)1086-1091
Number of pages6
JournalTropical Medicine and International Health
Volume17
Issue number9
DOIs
Publication statusPublished - Sep 2012
Externally publishedYes

Keywords

  • Bangladesh
  • Dengue fever
  • Scan statistic
  • Space-time cluster

Cite this

Banu, Shahera ; Hu, Wenbiao ; Hurst, Cameron ; Guo, Yuming ; Islam, Mohammad Zahirul ; Tong, Shilu. / Space-time clusters of dengue fever in Bangladesh. In: Tropical Medicine and International Health. 2012 ; Vol. 17, No. 9. pp. 1086-1091.
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Space-time clusters of dengue fever in Bangladesh. / Banu, Shahera; Hu, Wenbiao; Hurst, Cameron; Guo, Yuming; Islam, Mohammad Zahirul; Tong, Shilu.

In: Tropical Medicine and International Health, Vol. 17, No. 9, 09.2012, p. 1086-1091.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Banu, Shahera

AU - Hu, Wenbiao

AU - Hurst, Cameron

AU - Guo, Yuming

AU - Islam, Mohammad Zahirul

AU - Tong, Shilu

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N2 - Objective To examine the space-time clustering of dengue fever (DF) transmission in Bangladesh using geographical information system and spatial scan statistics (SaTScan). Methods We obtained data on monthly suspected DF cases and deaths by district in Bangladesh for the period of 2000-2009 from Directorate General of Health Services. Population and district boundary data of each district were collected from national census managed by Bangladesh Bureau of Statistics. To identify the space-time clusters of DF transmission a discrete Poisson model was performed using SaTScan software. Results Space-time distribution of DF transmission was clustered during three periods 2000-2002, 2003-2005 and 2006-2009. Dhaka was the most likely cluster for DF in all three periods. Several other districts were significant secondary clusters. However, the geographical range of DF transmission appears to have declined in Bangladesh over the last decade. Conclusion There were significant space-time clusters of DF in Bangladesh over the last decade. Our results would prompt future studies to explore how social and ecological factors may affect DF transmission and would also be useful for improving DF control and prevention programs in Bangladesh.

AB - Objective To examine the space-time clustering of dengue fever (DF) transmission in Bangladesh using geographical information system and spatial scan statistics (SaTScan). Methods We obtained data on monthly suspected DF cases and deaths by district in Bangladesh for the period of 2000-2009 from Directorate General of Health Services. Population and district boundary data of each district were collected from national census managed by Bangladesh Bureau of Statistics. To identify the space-time clusters of DF transmission a discrete Poisson model was performed using SaTScan software. Results Space-time distribution of DF transmission was clustered during three periods 2000-2002, 2003-2005 and 2006-2009. Dhaka was the most likely cluster for DF in all three periods. Several other districts were significant secondary clusters. However, the geographical range of DF transmission appears to have declined in Bangladesh over the last decade. Conclusion There were significant space-time clusters of DF in Bangladesh over the last decade. Our results would prompt future studies to explore how social and ecological factors may affect DF transmission and would also be useful for improving DF control and prevention programs in Bangladesh.

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