Socio-Ecological Framework on Risk of Prolonged Dengue Outbreak in Seremban District: A Qualitative Study

Authors

Keywords:

Dengue, Community participation, Disease Outbreaks, socio-ecological factor

Abstract

Introduction:

A prolonged duration of a dengue outbreak in a locality poses a detrimental risk to the susceptible population. There have been limited studies looking into the socio-ecological factors that can be modified to break the chain of transmission. Therefore, this study aimed to explore and identify the socio-ecological attributes experienced by the health authority in the Seremban district.

Methods:

A qualitative study was performed using an in-depth interview (IDI) technique based on semi-structured questionnaires. Results were thematically analysed when theoretical saturation was achieved.

Results:

A total of 12 respondents participated in this study, representing various backgrounds and involved in dengue control activities. There were nine modifiable socio-ecological themes generated, namely (1) illegal dumpsite, (2) illegal gardens, (3) illegal man-made structures, (4) old unused items, (5) idle damaged vehicles, (6) construction site, (7) drainage system, (8) physical structure, and (9) lack of community engagement. A model framework was conceptualised from the analysis. The health authority identified that these issues require urgent attention and collaborative action by various stakeholders.

Conclusion:

The identified socio-ecological factors have been a challenge for the health authority. Nevertheless, identifying these attributes signifies the key to tackling the prolonged duration of the dengue outbreak. Ultimately, a multi-agency approach and community participation are vital to ensure a sustainable vector control program.

References

World Health Organisation. Dengue and Severe Dengue 2016 [Available from: https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue.

Shepard DS, Undurraga EA, Halasa YA. Economic and Disease Burden of Dengue in Southeast Asia. PLoS Neglected Tropical Diseases. 2013;7(2):e2055.

Donald S. Shepard RL, Chiu Wan Ng, Eduardo A. Undurraga, Yara Halasa, Lucy Lum, Laurent Coudeville. Burden of Dengue in Malaysia. Report from a Collaboration between

Universities and the Ministry of Health of Malaysia*. 2013.

CodeBlue. Malaysia Reports 130,000 Dengue Cases In 2019, Highest Since 2015 2019 [Available from: https://codeblue.galencentre.org/2020/01/03/malaysia-reports-130000-dengue-cases-in-2019-highest-since-2015/.

World Health Organisation. Dengue 2018 [Available from: https://www.who.int/immunization/diseases/dengue/en/.

World Health Organisation. Dengue/Severe dengue frequently asked questions 2020 [Available from: https://www.who.int/denguecontrol/faq/en/index2.html.

M T. Dry season survival of Aedes aegypti eggs in various breeding sites in the Dar es Salaam area, Tanzania: Bull World Health Organisation; 1972 [Available from: https://pmc/articles/PMC2480724/?report=abstract.

Soares-Pinheiro VC, Dasso-Pinheiro W, Trindade-Bezerra JM, Tadei WP. Eggs viability of Aedes aegypti Linnaeus (Diptera, Culicidae) under different environmental and storage conditions in Manaus, Amazonas, Brazil. Brazilian Journal of Biology. 2016;77(2):396-401.

Ahmad R, Suzilah I, Wan Najdah WMA, Topek O, Mustafakamal I, Lee HL. Factors determining dengue outbreak in Malaysia. PLOS ONE. 2018;13(2):e0193326.

Hii YL, Zaki RA, Aghamohammadi N, Rocklöv J. Research on Climate and Dengue in Malaysia: A Systematic Review. Current Environmental Health Reports. 2016;3(1):81-90.

Ching Ho C, Ting C-Y, Baha Raja D. Using Public Open Data to Predict Dengue Epidemic: Assessment of Weather Variability, Population Density, and Land Use As Predictor Variables For Dengue Outbreak Prediction using Support Vector Machine. Indian Journal of Science and Technology. 2018;11(4):1-8.

Dhesi Baha R, Rainier M, Choo Yee T, Fadzilah K, Rohani A, Suzilah I, et al. Artificial Intelligence Model as Predictor for Dengue Outbreaks. Malaysian Journal of Public Health Medicine. 2019;19(2):103-8.

Hsu JC, Hsieh C-L, Lu CY. Trend and geographic analysis of the prevalence of dengue in Taiwan, 2010–2015. International Journal of Infectious Diseases. 2017;54:43-9.

Koyadun S, Butraporn P, Kittayapong P. Ecologic and Sociodemographic Risk Determinants for Dengue Transmission in Urban Areas in Thailand. Interdisciplinary Perspectives on Infectious Diseases. 2012;2012:1-12.

Murphy A, Rajahram GS, Jilip J, Maluda M, William T, Hu W, et al. Incidence and epidemiological features of dengue in Sabah, Malaysia. PLOS Neglected Tropical Diseases. 2020;14(5):e0007504.

Braun V, Clarke V. Using thematic analysis in psychology. Qualitative Research in Psychology. 2006;3(2):77-101.

Attride-Stirling J. Thematic networks: an analytic tool for qualitative research. Qualitative Research. 2001;1(3):385-405.

P. Dutta SAK, A.M. Khan, C.K. Sharma, P.K. Doloi, J. Mahanta,. Solid waste pollution and breeding potential of dengue vectors in an urban and industrial environment of Assam. Journal of Environmental Biology. 1999;20(4):343-5.

Sekti Aminah ISZ, Noordini Binti Che’ Man, Rania Hussien Al-Ashwal, Syafie Shuid. Dengue Risk Prediction in Illegal Dumpsite of Housing Area by Using Geospatial Analysis. Journal of Architecture, Planning & Construction Management. 2019;9(1):112-29.

Mol Marcos Paulo Gomes QJTM, Gomes Júlia, Heller Léo. Adequate solid waste management as a protection factor against dengue casese. Rev Panam Salud Publica/Pan Am J Public Health. 2020:44.

Liu X, Zhang M, Cheng Q, Zhang Y, Ye G, Huang X, et al. Dengue fever transmission between a construction site and its surrounding communities in China. Parasites & Vectors. 2021;14(1):22.

Liang S, Hapuarachchi HC, Rajarethinam J, Koo C, Tang C-S, Chong C-S, et al. Construction sites as an important driver of dengue transmission: implications for disease control. BMC Infectious Diseases. 2018;18(1):382.

Zainon N, Mohd Rahim FA, Roslan D, Abd Samat AH. Prevention Of Aedes Breeding Habitats For Urban High-Rise Building In Malaysia. Planning Malaysia. 2016(5):115-28.

Seidahmed OME, Lu D, Chong CS, Ng LC, Eltahir EAB. Patterns of Urban Housing Shape Dengue Distribution in Singapore at Neighborhood and Country Scales. GeoHealth. 2018;2(1):54-67.

C.D. Chena HLL, S.P. Stella-Wonga, K.W. Laua, M. Sofian-Aziruna. Container survey of mosquito breeding sites in a university campus in Kuala Lumpur, Malaysia. Dengue Bulletin. 2009;33:187-93.

Kumar Vikram BNN, Veena Pande, Aruna Srivastava, Sanjeev K Gupta, Anushrita, V P Singh, Himmat Singh, Rekha Saxena, N R Tuli, N K Yadav,, Richard Paul NV, Olivier Telle. Comparison of Ae. aegypti breeding in localities of different socio-economic groups of Delhi, India. International Journal of Mosquito Research. 2015;2(2):83-8.

Ngugi HN, Mutuku FM, Ndenga BA, Musunzaji PS, Mbakaya JO, Aswani P, et al. Characterization and productivity profiles of Aedes aegypti (L.) breeding habitats across rural and urban landscapes in western and coastal Kenya. Parasites & Vectors. 2017;10(1):331.

Soumyajit Banarjee GA, Goutam K Saha. Household disposables as breeding habitats of dengue vectors: Linking wastes and public health. Waste Management. 2013;33(1):233-9.

Lin H, Liu T, Song T, Lin L, Xiao J, Lin J, et al. Community Involvement in Dengue Outbreak Control: An Integrated Rigorous Intervention Strategy. PLOS Neglected Tropical Diseases. 2016;10(8):e0004919.

Asian Development Bank. Managing Regional Public Goods for Health: Community-Based Dengue Vector Control 2013 [Available from: https://www.adb.org/publications/managing-regional-public-goods-health-community-based-dengue-vector-control.

PORTAL MyHEALTH. The Importance of Community Involvement In COMBI Program 2020 [Available from: http://www.myhealth.gov.my/en/importance-community-involvement-combi-program/.

Ismail A NA, Mohamed A. Communication for behavioural impact (COMBI) program in dengue prevention evaluation: Mixed methods approach. Int Med J. 2015;22(5):367-70.

Downloads

Published

08-10-2025

How to Cite

Mohd ‘Ammar Ihsan Ahmad Zamzuri, Ismail, F. N., Mohd Nazrin Jamhari, Muhamad Hasani, M. H., Noor Khalili Mohd Ali, Hod, R., Rahmat Dapari, & Hassan, M. R. (2025). Socio-Ecological Framework on Risk of Prolonged Dengue Outbreak in Seremban District: A Qualitative Study. International Journal of Public Health Research, 15(2), 2322–2331. Retrieved from https://spaj.ukm.my/ijphr/index.php/ijphr/article/view/569

Most read articles by the same author(s)

1 2 3 4 > >>