Skip to main content Skip to main navigation menu Skip to site footer

Mapping the prevalence of dengue fever in sragen regency Indonesia



Abstract

Introduction: Dengue fever is a disease that is transmitted by vectors. The intermediary vector for dengue fever transmission is the Aedes Aegepty mosquito. Dengue fever cases occur in almost all districts in Indonesia, including the Sragen regency. From 2016 to 2019, the incidence of dengue fever was higher than the previous year. This unusual condition needs to be further monitored and studied. This study's purpose was to map the prevalence of dengue fever in the Sragen regency.

Methods: A retrospective research design was performed using secondary data provided by the regency health office and the Central Bureau of statistics from the government of Sragen regency. A free and open-source software, namely Quantum Geographic Information System (QGIS), was utilized to produce maps and spatial figures. The results of this study are presented by map and prevalence.

Results: The incidence of dengue fever in the Sragen regency in 2017-2019 fluctuated between 15.83 per 100,000 population and 33.54 per 100,000 population. The dengue fever case in Gemolong district is the highest in 2018 and 2019.

Conclusion: The conclusion for this research is mapping the dengue fever prevalence helping to figure up the spatial pattern of the disease in Sragen regency.

Keywords: dengue fever information system mapping spatial surveillance

References

  1. Guzman MG, Harris E. Dengue. Lancet. 2015;385(9966):453–65. Available from: http://dx.doi.org/10.1016/s0140-6736(14)60572-9
  2. Khetarpal N, Khanna I. Dengue Fever: Causes, Complications, and Vaccine Strategies. J Immunol Res. 2016/07/20. 2016;2016:6803098. Available from: https://pubmed.ncbi.nlm.nih.gov/27525287
  3. Moi ML, Takasaki T. [Dengue Fever]. Rinsho Byori. 2016;64(9):1033–43.
  4. Rahman KM, Sharker Y, Rumi RA, Khan M-UI, Shomik MS, Rahman MW, et al. An Association between Rainy Days with Clinical Dengue Fever in Dhaka, Bangladesh: Findings from a Hospital Based Study. Int J Environ Res Public Health. 2020;17(24):9506. Available from: https://pubmed.ncbi.nlm.nih.gov/33353025
  5. Nadjib M, Setiawan E, Putri S, Nealon J, Beucher S, Hadinegoro SR, et al. Economic burden of dengue in Indonesia. PLoS Negl Trop Dis. 2019;13(1):e0007038–e0007038. Available from: https://pubmed.ncbi.nlm.nih.gov/30629593
  6. Zambrano LI, Rodriguez E, Espinoza-Salvado IA, Fuentes-Barahona IC, Lyra de Oliveira T, Luciano da Veiga G, et al. Spatial distribution of dengue in Honduras during 2016–2019 using a geographic information systems (GIS)–Dengue epidemic implications for public health and travel medicine. Travel Med Infect Dis. 2019;32:101517. Available from: http://dx.doi.org/10.1016/j.tmaid.2019.101517
  7. Hamer D, Lichtveld M. Spatial Distribution of Epidemiological Cases of Dengue Fever in Suriname, 2001-2012. West Indian Med J. 2015/05/01. 2015;64(4):344–50. Available from: https://pubmed.ncbi.nlm.nih.gov/26624585
  8. Shaw N, McGuire S. Understanding the use of geographical information systems (GIS) in health informatics research: A review. J Innov Heal Informatics. 2017;24(2):228. Available from: http://dx.doi.org/10.14236/jhi.v24i2.940
  9. Kaewpitoon SJ, Rujirakul R, Joosiri A, Jantakate S, Sangkudloa A, Kaewthani S, et al. GIS Database and Google Map of the Population at Risk of Cholangiocarcinoma in Mueang Yang District, Nakhon Ratchasima Province of Thailand. Asian Pacific J Cancer Prev. 2016;17(3):1293–7. Available from: http://dx.doi.org/10.7314/apjcp.2016.17.3.1293
  10. Paiva Júnior EF de, Vaz T da S, Rosa M, Garcia ILBE. Automatic stratification of priority areas for Dengue control using the QGIS Model Builder in multicriteria analysis. Epidemiol e Serv saude Rev do Sist Unico Saude do Bras. 2020;29(2):e2019028.
  11. Romero Canal M, da Silva Ferreira ER, Estofolete CF, Martiniano Dias A, Tukasan C, Bertoque AC, et al. Spatiotemporal-based clusters as a method for dengue surveillance. Rev Panam Salud Publica. 2017;41:e162–e162. Available from: https://pubmed.ncbi.nlm.nih.gov/31384275
  12. Astuti EP, Dhewantara PW, Prasetyowati H, Ipa M, Herawati C, Hendrayana K. Paediatric dengue infection in Cirebon, Indonesia: a temporal and spatial analysis of notified dengue incidence to inform surveillance. Parasit Vectors. 2019;12(1):186. Available from: https://pubmed.ncbi.nlm.nih.gov/31036062
  13. Raafat N, Blacksell SD, Maude RJ. A review of dengue diagnostics and implications for surveillance and control. Trans R Soc Trop Med Hyg. 2019;113(11):653–60. Available from: https://pubmed.ncbi.nlm.nih.gov/31365115
  14. Phanitchat T, Zhao B, Haque U, Pientong C, Ekalaksananan T, Aromseree S, et al. Spatial and temporal patterns of dengue incidence in northeastern Thailand 2006-2016. BMC Infect Dis. 2019;19(1):743. Available from: https://pubmed.ncbi.nlm.nih.gov/31443630
  15. Livina A, Rotty LWA, Panda L. Hubungan Trombositopenia Dan Hematokrit Dengan Manifestasi Perdarahan Pada Penderita Demam Dengue Dan Demam Berdarah Dengue. e-CliniC. 2014;2(1):1–8.
  16. Yue Y, Liu X, Ren D, Wu H, Liu Q. Spatial Dynamics of Dengue Fever in Mainland China, 2019. Int J Environ Res Public Health. 2021;18(6):2855. Available from: https://pubmed.ncbi.nlm.nih.gov/33799640
  17. Shafique M, Lopes S, Doum D, Keo V, Sokha L, Sam B, et al. Implementation of guppy fish (Poecilia reticulata), and a novel larvicide (Pyriproxyfen) product (Sumilarv 2MR) for dengue control in Cambodia: A qualitative study of acceptability, sustainability and community engagement. PLoS Negl Trop Dis. 2019;13(11):e0007907–e0007907. Available from: https://pubmed.ncbi.nlm.nih.gov/31738759
  18. Jain R, Sontisirikit S, Iamsirithaworn S, Prendinger H. Prediction of dengue outbreaks based on disease surveillance, meteorological and socio-economic data. BMC Infect Dis. 2019;19(1):272. Available from: https://pubmed.ncbi.nlm.nih.gov/30898092

How to Cite

Sudaryanto, A., Ainnurriza, U. S., Supratman, S., & Dewi, S. K. (2021). Mapping the prevalence of dengue fever in sragen regency Indonesia. Bali Medical Journal, 10(3), 1107–1110. https://doi.org/10.15562/bmj.v10i3.2821
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver
Download Citation
Endnote/Zotero/Mendeley (RIS) BibTeX

HTML
3

Total
67

Share

Search Panel

Agus Sudaryanto
Google Scholar
Pubmed
BMJ Journal

Ulfiana Savira Ainnurriza
Google Scholar
Pubmed
BMJ Journal

Supratman Supratman
Google Scholar
Pubmed
BMJ Journal

Shinta Kurnia Dewi
Google Scholar
Pubmed
BMJ Journal