Temporal Evolution of Dengue Incidence Rate in the Central Region of Peninsular Malaysia
Abstract
Dengue, a globally significant arthropod-borne viral disease that affects humans, is primarily transmitted by the Aedes aegypti mosquito and is caused by four viruses known as DENV-1 to DENV-4, which are classified as flaviviruses. In Malaysia, dengue has been a major public health concern with high incidence rates, particularly in the central region of Peninsular Malaysia. The year 2019 witnessed the highest number of reported cases globally, with severe outbreaks occurring in several Southeast Asian countries, including Malaysia. To better understand the temporal patterns of dengue incidence in the central region of Peninsular Malaysia, this study aimed to assess the temporal evolution of dengue incidence rates. Trend analysis was conducted using Dengue Incidence Rate (DIR) data from EW1-2013 to EW52-2019, calculated based on the number of dengue case notifications per week and district population estimates from the Malaysian census. The findings revealed that the temporal evolution of DIR in the central region exhibited a recurring pattern. The incidence rate tended to peak at the beginning of the year, followed by an increment in May (EW20) and another peak in November (EW45). Additional peaks were also detected in February, July, and December. These findings provide insights into the seasonal dynamics of dengue incidence in the central region of Peninsular Malaysia.
References
[2] L. E. Okoror, E. O. Bankefa, O. M. Ukhureigbe, E. O. Ajayi, S. K. Ojo, and B. Ogeneh, “Misdiagnosis of Dengue Fever and Co-infection With Malaria and Typhoid Fevers in Rural Areas in Southwest Nigeria,” 2021.
[3] L. Wiyono, I. C. N. Rocha, T. D. D. Cedeno, A. V. Miranda, and D. E. L. Prisno, “Dengue and COVID-19 infections in the ASEAN region: A concurrent outbreak of viral diseases,” Epidemiol. Health, vol. 43, pp. 1–5, 2021, doi: 10.4178/epih.e2021070.
[4] F. M. T. Skae, “Dengue fever in penang,” Br. Med. J., vol. 2, no. 2185, pp. 1581–1582, 1902, doi: 10.1136/bmj.2.2185.1581-a.
[5] A. Kolimenakis et al., “The role of urbanisation in the spread of aedes mosquitoes and the diseases they transmit—a systematic review,” PLoS Negl. Trop. Dis., vol. 15, no. 9, pp. 1–21, 2021, doi: 10.1371/journal.pntd.0009631.
[6] N. Che-Him, M. G. Kamardan, M. S. Rusiman, S. Sufahani, M. Mohamad, and N. K. Kamaruddin, “Spatio-temporal modelling of dengue fever incidence in Malaysia,” J. Phys. Conf. Ser., vol. 995, no. 1, 2018, doi: 10.1088/1742-6596/995/1/012003.
[7] N. A. Majid, M. R. Razman, S. Zarina, S. Zakaria, and N. M. Nazi, “Dengue Vector Density Incident and Its Implication to Urban Livability,” 2020, [Online]. Available: https://www.researchsquare.com/article/rs-33464/latest.pdf
[8] C. H. Chew et al., “Rural-urban comparisons of dengue seroprevalence in Malaysia,” BMC Public Health, vol. 16, no. 1, pp. 1–9, 2016, doi: 10.1186/s12889-016-3496-9.
[9] J. P. Messina et al., “The current and future global distribution and population at risk of dengue,” Nat. Microbiol., vol. 4, no. 9, pp. 1508–1515, 2019, doi: 10.1038/s41564-019-0476-8.
[10] D. J. Gubler, “Dengue, Urbanization and globalization: The unholy trinity of the 21 st century,” Trop. Med. Health, vol. 39, no. 4 SUPPL., pp. 3–11, 2011, doi: 10.2149/tmh.2011-S05.
[11] S. AbuBakar et al., “Epidemiology (2012-2019) and costs (2009-2019) of dengue in Malaysia: a systematic literature review,” Int. J. Infect. Dis., vol. 124, pp. 240–247, 2022, doi: 10.1016/j.ijid.2022.09.006.
[12] R. Nani Mudin, “Dengue Incidence and the Prevention and Control Program in Malaysia,” Int. Med. J. Malaysia, vol. 14, no. 1, pp. 5–9, 2015, doi: 10.31436/imjm.v14i1.447.
[13] J. Suppiah et al., “Clinical manifestations of dengue in relation to dengue serotype and genotype in Malaysia: A retrospective observational study,” PLoS Negl. Trop. Dis., vol. 12, no. 9, pp. 1–20, 2018, doi: 10.1371/journal.pntd.0006817.
[14] S. A. Lee, T. Economou, R. de C. Catão, C. Barcellos, and R. Lowe, “The impact of climate suitability, urbanisation, and connectivity on the expansion of dengue in 21st century Brazil,” PLoS Negl. Trop. Dis., vol. 15, no. 12, pp. 1–21, 2021, doi: 10.1371/journal.pntd.0009773.
[15] S. Yip, N. Che Him, N. I. Jamil, D. He, and S. K. Sahu, “Spatio-temporal detection for dengue outbreaks in the Central Region of Malaysia using climatic drivers at mesoscale and synoptic scale,” Clim. Risk Manag., vol. 36, no. November 2021, p. 100429, 2022, doi: 10.1016/j.crm.2022.100429.
[16] N. C. Him, Y. Yusof, and N. A. Samat, “Generalised additive model of dir based on region, monsoon and state in peninsular malaysia,” J. Adv. Res. Dyn. Control Syst., vol. 11, no. 12 Special Issue, pp. 228–234, 2019.
[17] R. Ahmad, I. Suzilah, W. M. A. W. Najdah, O. Topek, I. Mustafakamal, and H. L. Lee, “Factors determining dengue outbreak in Malaysia,” PLoS One, vol. 13, no. 2, pp. 1–13, 2018, doi: 10.1371/journal.pone.0193326.
[18] A. Mohiddin, Z. Jaal, A. M. Lasim, H. Dieng, and W. F. Zuharah, “Assessing dengue outbreak areas using vector surveillance in north east district, Penang Island, Malaysia,” Asian Pacific J. Trop. Dis., vol. 5, no. 11, pp. 869–876, 2015, doi: 10.1016/S2222-1808(15)60947-1.
[19] A. Anyamba et al., “Global Disease Outbreaks Associated with the 2015–2016 El Niño Event,” Sci. Rep., vol. 9, no. 1, pp. 1–14, 2019, doi: 10.1038/s41598-018-38034-z.
[20] N. A. M. Salim et al., “Prediction of dengue outbreak in Selangor Malaysia using machine learning techniques,” Sci. Rep., vol. 11, no. 1, pp. 1–9, 2021, doi: 10.1038/s41598-020-79193-2.
