A Study on the Relationship between the rainy season and Dengue outbreak in the Colombo District of Sri Lanka


  • Kavindya V. K. W. Atapattu Charisma University, Kursk State Medical University
  • Dr.Ghassan Salibi Charisma University
  • Professor Nikolaos Tzenios Charisma University




DENGE, Sri lanka


Introduction – Dengue is a mosquito-borne viral disease considered a global health problem. It is considered one of the major health concerns in Sri Lanka because of being a tropical country. Even though dengue cases are being reported throughout the year, there are some significant differences between incident rates in some months. The highest incident rate is usually reported from the western province.

 Aim – This study aims to understand the relationship between dengue incidences and monsoon seasons in the Colombo District of Sri Lanka, and the effect of the rainy season on spreading the disease. The results of this study are expected to be helpful in the implementation of new dengue prevention methods and in strengthening the existing preventive methods.

Study Design – The study is a statistical analysis using SPSS – 16 version. Graphical analysis is carried out between monthly rainfall and dengue incidences in the Colombo District of Sri Lanka from January 1st of, 2010, till December 31st of, 2019.

Methodology – The number of reported dengue cases in the Colombo district during the mentioned ten-year period is obtained from the Bureau of Health Information, Colombo municipal council. Those obtained data are analyzed using bivalent graphs opposite the months and rainfalls of the relevant months. The discussion will be based on the results of the graphs.


Ali, K., & Ma’rufi, I. (2018). The Relationship between rainfall and dengue hemorrhagic fever incidence during 2009-2013 (Case study at grati and Tutur Sub-district, Pasuruan, Indonesia). IOP Conference Series: Earth and Environmental Science, 200, 012031. https://doi.org/10.1088/1755-1315/200/1/012031

Beebe, N. W., Cooper, R. D., Mottram, P., & Sweeney, A. W. (2009). Australia's dengue risk driven by human adaptation to climate change. PLoS Neglected Tropical Diseases, 3(5). https://doi.org/10.1371/journal.pntd.0000429

Chan, M., & Johansson, M. A. (2012). The incubation periods of dengue viruses. PLoS ONE, 7(11). https://doi.org/10.1371/journal.pone.0050972

Cruz Alves, R., Souza Castro, L., Henrique Francisco Roma, J., Gabriel Guimarães Luz, J., Gabriela Carvalho, A., Silveira Goulart, L., De Araújo, C., & Helena Chávez-Pavoni, J. (2017). Dengue epidemiological profile in southern Mato Grosso, Brazil (2008-2012). Revista De Patologia Tropical, 46(1), 23. https://doi.org/10.5216/rpt.v46i1.46302

Dengue Update. (2022). Retrieved from Epidemiology Unit, Sri Lanka

Department of Meteorology, 2021

Edirisinghe, G. (2017). An investigation into spatial vulnerable factors for dengue epidemics using GIS in the Matara District in Sri Lanka. International Research Journal of Medical Sciences, 5(6).

Edirisinghe, G. (2017). Contribution of Rainfall Patterns for Increased Dengue Epidemic in Sri Lanka. American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS).


Faruk, M.O., Jannat, S.N. & Rahman, M.S. Impact of environmental factors on the spread of dengue fever in Sri Lanka. Int. J. Environ. Sci. Technol. (2022).

Hii, Y. L., Rocklöv, J., Ng, N., Tang, C. S., Pang, F. Y., & Sauerborn, R. (2009). Climate variability and increase in intensity and magnitude of dengue incidence in Singapore. Global Health Action, 2(1), 2036. https://doi.org/10.3402/gha.v2i0.2036

Jayasekara, T., & Diunugala, H. P. (2019). A Model Developed for Household Solid Waste Generation for a Better Waste Management System. Asia International Conference on Multidisciplinary Research, 1, 43–46.


Lazarus NW (2021) Multivariate analysis of the dengue virus in Sri Lanka using the ordination method. GeoJournal 86:281–302.

Malavige, G. N., Jeewandara, C., Ghouse, A., Somathilake, G., & Tissera, H. (2021). Changing epidemiology of dengue in Sri Lanka—Challenges for the future. PLOS - Neglected Tropical Diseases.

Mordecai EA, Cohen JM, Evans MV et al (2017) Detecting the impact of temperature on transmission of Zika, dengue, and chikungunya using mechanistic models. PLoS Negl Trop Dis 11:e0005568

Naish S, Dale P, Mackenzie JS et al (2014) Climate change and dengue: a critical and systematic review of quantitative modelling approaches. BMC Infect Dis 14:1– 14.

Prabodanie, R. A. R., Stone, L., & Schreider, S. (2020). Spatiotemporal patterns of dengue outbreaks in Sri Lanka. Infectious Diseases, 52(5), 350–360.

Rahman, M., Sobur, M., Islam, M., Toniolo, A., & Nazir, K. (2020). Is the COVID-19 pandemic masking dengue epidemic in Bangladesh? Journal of Advanced Veterinary and Animal Research, 7(2), 218. https://doi.org/10.5455/javar.2020.g412

Silva, J. B., Magalhães Alves, D., Bottino-Rojas, V., Pereira, T. N., Sorgine, M. H., Caragata, E. P., & Moreira, L. A. (2017). Wolbachia and dengue virus infection in the Mosquito Aedes fluviatilis (Diptera: Culicidae). PLOS ONE, 12(7). https://doi.org/10.1371/journal.pone.0181678

Sirisena, P. D. N. N., & Noordeen, F. (2013). Evolution of dengue in Sri Lanka—changes in the virus, vector, and climate.

SRI LANKA SITUATION. National Dengue Control Unit, . (n.d.).

Sriprom, M., Chalvet-Monfray, K., Chaimane, T., Vongsawat, K., & Bicout, D. J. (2010). Monthly district level risk of dengue occurrences in Sakon Nakhon Province, Thailand. Science of The Total Environment, 408(22), 5521–5528. https://doi.org/10.1016/j.scitotenv.2010.08.024

Tissera, H., Pannila-Hetti, N., & Samaraweera, P. (2016). Sustainable dengue prevention and control through a comprehensive integrated approach: the Sri Lankan perspective. WHO South-East Asia Journal of Public Health, 5 (‎2)‎.

Tran, B.-L., Tseng, W.-C., Chen, C.-C., & Liao, S.-Y. (2020). Estimating the threshold effects of climate on Dengue: A case study of taiwan. International Journal of Environmental Research and Public Health, 17(4), 1392. https://doi.org/10.3390/ijerph17041392

Udayanga, L., Gunathilaka, N., Iqbal, M. C. M., & Abeyewickreme, W. (2020). Climate change induced vulnerability and adaption for dengue incidence in Colombo and Kandy districts: the detailed investigation in Sri Lanka. Infectious Diseases of Poverty, 9.

Udayanga, L., Gunathilaka, N., Iqbal, M. C., Najim, M. M., Pahalagedara, K., & Abeyewickreme, W. (2018). Empirical optimization of risk thresholds for dengue: An approach towards entomological management of Aedes mosquitoes based on larval indices in the Kandy District of Sri Lanka. Parasites & Vectors, 11(1).

Wagner CE, Hooshyar M, Baker RE et al (2020) Climatological, virological and sociological drivers of current and projected dengue fever outbreak dynamics in Sri Lanka. J R Soc Interface.

World Health Organization. (n.d.). Dengue and severe dengue. World Health Organization.

Zhu G, Liu J, Tan Q, Shi B (2016) Inferring the spatio-temporal patterns of dengue transmission from surveillance data in Guangzhou, China. Plos Negl Trop Dis 10:e0004633.




How to Cite

Atapattu, K. V. K. W., Salibi, G., & Tzenios, P. N. (2023). A Study on the Relationship between the rainy season and Dengue outbreak in the Colombo District of Sri Lanka. Special Journal of the Medical Academy and Other Life Sciences., 1(3). https://doi.org/10.58676/sjmas.v1i3.21

Most read articles by the same author(s)