Prevention of Dengue Fever Based on Dominant Risk Factors within Elementary School Environment in Bandung City
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Keywords

DHF Prevention
Elementary School Environment
3M Plus Nest Eradication
Student

How to Cite

Kurniawati, R. D., Martini, M., Wahyuningsih, N. E., Sutiningsih, D., & Sutriyawan, A. (2024). Prevention of Dengue Fever Based on Dominant Risk Factors within Elementary School Environment in Bandung City. Public Health of Indonesia, 10(2), 214–223. https://doi.org/10.36685/phi.v10i2.802

Abstract

Background: Dengue fever is an environment-based disease that is endemic in Bandung City. Bandung City with an average temperature of 25.86°C has a humid and cool climate which is a favorable environment for Aedes aegypti. The average amount of rain per day is 21.3 days per month with an average rainfall of 200.4 mm. These environmental conditions favor the breeding of Aedes aegypti.

Objective: The study aimed to obtain the dominant variables in the 3M Plus PSN.Penelitian ini merupakan penelitian kuantitatif dengan desain cross sectional.

Method: The population in this study were all elementary school students in Bandung City. Through the Cluster Sampling calculation, 973 minimum samples from 13 elementary schools were obtained. With a minimum sample for each elementary school totaling 76 6th-grade students.

Results: The results of the study showed that a Knowledge P-value of 0.023, Attitude P-value 0.036, Perception P-value of 0.000, and motivation P-value of 0.018 were associated with DHF Prevention through 3M Plus PSN. Exposure to information media on dengue prevention through the 3M Plus PSN is not associated with dengue prevention through the 3M Plus PSN. The variable that most influenced the prevention of Dengue Fever through the 3M Plus PSN was perception with a P-value of 0.000 CI of 2.118 (1.639-2.737).

Conclusion: Knowledge, perception, attitude, and motivation are related to dengue fever prevention through 3M Plus PSN. Perception is the most dominant factor associated with the prevention of dengue fever through the 3M Plus PSN.

https://doi.org/10.36685/phi.v10i2.802
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References

Ahmad, R. et al. (2018). Factors determining dengue outbreak in Malaysia. Plos One Journal, 13. https://doi.org/https://doi.org/10.1371/journal.pone.0193326

Begum, A. S., Alok, S., & Nessa, S. (2021). Larval survey and spatial epidemiological analysis of vector Aedes aegypti to study the risk of dengue outbreak in India. GeoJournal, 86(1), 81–92. https://doi.org/10.1007/s10708-019-10060-y

Carneiro, M. A. F. et al. (2017). Environmental factors can influence dengue reported cases. Rev Assoc Med Bras, 63(11), 957–961. https://doi.org/https://doi.org/10.1590/1806-9282.63.11.957

Direktorat Jenderal Pencegahan dan Pengendalian Penyakit. (2023). Info DBD minggu k 26. Kementrian Kesehatan Republik Indonesia. https://p2pm.kemkes.go.id/publikasi/infografis/info-dbd-hingga-minggu-ke-26

Guad, R. Mac, Wu, Y. S., Aung, Y. N., Sekaran, S. D., Wilke, A. B. B., Low, W. Y., Sim, M. S., Carandang, R. R., Jeffree, M. S., Taherdoost, H., Sunggip, C., Lin, C. L. S., Murugaiah, C., Subramaniyan, V., & Azizan, N. (2021). Different Domains of Dengue Research in Malaysia: A Systematic Review and Meta-Analysis of Questionnaire-Based Studies. International Journal of Environmental Research and Public Health, 18(9). https://doi.org/10.3390/ijerph18094474

Habibullah, Sultana; Ashraf, J. (2013). Perceptions and Practices for the Control of Dengue Fever in Karachi - A School Based Survey. Pakistan Journal of Medical Research, 52, No. 4(Pak. J. Med. Res.).

Handayani, M. T., Raharjo, M., & Joko, T. (2023). Influence of Entomological Index and Distribution of Dengue Fever Cases in Sukoharjo District. Jurnal Kesehatan Lingkungan Indonesia; Vol 22, No 1 (2023): Februari 2023. https://doi.org/10.14710/jkli.22.1.46-54

Hurlock, E. B. (1978). Child Development. McGraw-Hill.

Ibrahim, N. K. . et al. (2009). An educational programme on dengue fever prevention and control for females in Jeddah high schools. Eastern Mediterranean Health Journal, Vol. 15, N(La Revue de Santé de la Méditerranée orientale).

Kementerian Kesehatan Republik Indonesia. (2021). Strategi Nasional Penanggulangan Dengue 2021-2025.

Kurniawati, Ratna Dian; Ekawati, E. (2020). Analysis Of 3m Plus As A Prevention Of Dengue Hemorrhagic Fever Transmission In Margaasih Primary Health Care. Vektora : Jurnal Vektor Dan Reservoir Penyakit, 12(1), 1–10. https://doi.org/https://doi.org/10.22435/vk.v12i1.1813

Kurniawati, R. D. et al. (2022). Relationship between Perception and Motivation with 3M PLUS Mosquito Nest Eradication as an Effort to Prevent Dengue Fever. Jurnal Kesehatan Indonesia, 13(1), 20–27. https://doi.org/10.33657/jurkessia.v13i1.362

Pascapurnama, D., Murakami, A., Chagan-Yasutan, H., Hattori, T., Sasaki, H., & Egawa, S. (2017). Integrated Health Education in Disaster Risk Reduction: Lesson Learned from Disease Outbreak Following Natural Disasters in Indonesia. International Journal of Disaster Risk Reduction, 29. https://doi.org/10.1016/j.ijdrr.2017.07.013

Saleh, F., Kitau, J., Konradsen, F., Kampango, A., Abassi, R., & Schiøler, K. L. (2020). Epidemic risk of arboviral diseases: Determining the habitats, spatial-temporal distribution, and abundance of immature Aedes aegypti in the Urban and Rural areas of Zanzibar, Tanzania. PLOS Neglected Tropical Diseases, 14(12), e0008949. https://doi.org/10.1371/journal.pntd.0008949

Saraswati, L. D. (2014). Elimination Of Breeding Places At School As A Control Of DHF In Semarang. Kesmasindo, 7(1), 22–30. https://jos.unsoed.ac.id/index.php/kesmasindo/article/view/110/99

Sutriyawan, A., Martini, M., Sutiningsih, D., & Adi, M. S. (2023). Climatic variations and the incidence of dengue fever in Bandung, Indonesia: 10.55131/jphd/2023/210317. Journal of Public Health and Development, 21(3 SE-Original Articles), 222–231. https://doi.org/10.55131/jphd/2023/210317

Sutriyawan, A. et al. (2021). Projection and Mapping of Dengue Hemorrhagic Fever (DHF) Cases Based on Geographic Information System (SIG). Jurnal Kesehatan Masyarakat, 6(2). https://doi.org/https://doi.org/10.31943/afiasi.v6i2.153

Sutriyawan, A. et al. (2023). Analysis of entomological indicators and distribution of Aedes aegypti larvae in dengue endemic areas. Journal Of Microbiology, Epidemiology And Immunobiology. https://doi.org/https://doi.org/10.36233/0372-9311-406

Suwanbamrung, C. ; et al. (2021). Developing Risk Assessment Criteria and Predicting High- and Low-Dengue Risk Villages for Strengthening Dengue Prevention Activities: Community Participatory Action Research, Thailand. Journal of Primary Care & Community Health, 12(journals.sagepub.com/home/jpc), 1–14. https://doi.org/DOI: 10.1177/21501327211013298

Suwanbamrung, C. et al. (2013). Risk factors related to dengue infections in primary school students: Exploring students’ basic knowledge of dengue and examining the larval indices in southern Thailand. Journal of Infection and Public Health, 6, 347—357. https://doi.org/http://dx.doi.org/10.1016/j.jiph.2013.04.006

Suwanbamrung, C. (2010). Community capacity for sustainable community-based dengue prevention and control: domain, assessment tool and capacity building model. Asian Pacific Journal of Tropical Medicine, journal homepage:www.elsevier.com/locate/apjtm, 499–504.

Wangroongsarb, Y. (1997). Dengue Control through Schoolchildren in Thailand. Dengue Bulletin, 21, 52–65.

Yang, L., Liu, C., Bi, P., Vardoulakis, S., & Huang, C. (2020). Local actions to health risks of heatwaves and dengue fever under climate change: Strategies and barriers among primary healthcare professionals in southern China. Environmental Research, 187, 109688. https://doi.org/10.1016/j.envres.2020.109688

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Copyright (c) 2024 Ratna Dian Kurniawati, Martini Martini, Nur Endah Wahyuningsih, Dwi Sutiningsih, Agung Sutriyawan

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