Volume 12, Issue 1 (2024)
Health Educ Health Promot 2024, 12(1): 37-42 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Fahri S, Suhermanto S. Enhancing Student Knowledge in Dengue Hemorrhagic Fever Control Through Educational Modeling. Health Educ Health Promot 2024; 12 (1) :37-42
URL: http://hehp.modares.ac.ir/article-5-72065-en.html
URL: http://hehp.modares.ac.ir/article-5-72065-en.html
1- Environmental Health Department, Health Polytechnic of Jambi, Jambi, Indonesia
Abstract: (1440 Views)
Aims: Dengue fever lacks a vaccine and cure, with annual occurrences consistently documented. Continuous investigation and monitoring of infectious diseases serve to elucidate the disease's patterns, requiring a comprehensive historical analysis and fundamental data for effective disease control and management, specifically regarding Aedes spp. mosquitoes as the carriers. This study aimed to analyze the impact of educational interventions on the control of dengue hemorrhagic fever among students in Jambi City.
Materials & Methods: This experimental study was conducted with a non-equivalent control group design between July and October 2022, encompassing nine junior high schools in Jambi City, Indonesia. A total of 225 students who met the inclusion criteria were randomly selected to participate. For data analysis, the non-parametric Wilcoxon test was used.
Findings: Research findings revealed a monthly larval-free rate of 95.5, accompanied by a persistent monthly dengue fever incidence from July to October, averaging 7.7 cases. Post-modeling, a noticeable improvement in student knowledge regarding dengue hemorrhagic fever control was observed, attributed to the implementation of the 3M approach (p<0.05).
Conclusion: Educational modeling, implemented across nine junior high schools in Jambi City, effectively enhances students' knowledge in controlling dengue hemorrhagic fever through the application of the 3M strategy in Jambi City.
Materials & Methods: This experimental study was conducted with a non-equivalent control group design between July and October 2022, encompassing nine junior high schools in Jambi City, Indonesia. A total of 225 students who met the inclusion criteria were randomly selected to participate. For data analysis, the non-parametric Wilcoxon test was used.
Findings: Research findings revealed a monthly larval-free rate of 95.5, accompanied by a persistent monthly dengue fever incidence from July to October, averaging 7.7 cases. Post-modeling, a noticeable improvement in student knowledge regarding dengue hemorrhagic fever control was observed, attributed to the implementation of the 3M approach (p<0.05).
Conclusion: Educational modeling, implemented across nine junior high schools in Jambi City, effectively enhances students' knowledge in controlling dengue hemorrhagic fever through the application of the 3M strategy in Jambi City.
Article Type: Original Research |
Subject:
Health Education and Health Behavior
Received: 2023/10/10 | Accepted: 2023/11/13 | Published: 2024/01/5
Received: 2023/10/10 | Accepted: 2023/11/13 | Published: 2024/01/5
References
1. Wong LP, AbuBakar S, Chinna K. Community knowledge, health beliefs, practices and experiences related to dengue fever and its association with IgG seropositivity. PLoS Negl Trop Dis. 2014;8(5):e2789. [Link] [DOI:10.1371/journal.pntd.0002789]
2. Wong LP, AbuBakar S. Health beliefs and practices related to dengue fever: A focus group study. PLoS Negl Trop Dis. 2013;7(7):e2310. [Link] [DOI:10.1371/journal.pntd.0002310]
3. Tosepu R, Susilawaty A, Asis MA. Relationship between Surveillance data and Google trends data for dengue hemorrhagic fever in Southeast Sulawesi, Indonesia. Higiene. 2023;9(1):51-7. [Indonesian] [Link]
4. Thomas BH, Ciliska D, Dobbins M, Micucci S. A process for systematically reviewing the literature: providing the research evidence for public health nursing interventions. Worldviews Evid Based Nurs. 2004;1(3):176-84. [Link] [DOI:10.1111/j.1524-475X.2004.04006.x]
5. Dinkes Kota Jambi. Jambi City Health Profile [Internet]. Jambi: Dinkes Kota Jambi; 2021- [cited 2022 Jul 19]. Available from: http://dinkes.jambiprov.go.id/all_profil_kesehatan. [Indonesian] [Link]
6. Ajlan BA, Alafif MM, Alawi MM, Akbar NA, Aldigs EK, Madani TA. Assessment of the new World Health Organization's dengue classification for predicting severity of illness and level of healthcare required. PLoS Negl Trop Dis. 2019;13(8):e0007144. [Link] [DOI:10.1371/journal.pntd.0007144]
7. Al-Raddadi R, Alwafi O, Shabouni O, Akbar N, Alkhalawi M, Ibrahim A, et al. Seroprevalence of dengue fever and the associated sociodemographic, clinical, and environmental factors in Makkah, Madinah, Jeddah, and Jizan, Kingdom of Saudi Arabia. Acta Trop. 2019;189:54-64. [Link] [DOI:10.1016/j.actatropica.2018.09.009]
8. nAbd El-Ghany GM, Mahmoud SF. Effect of educational sessions about dengue fever on nurse's knowledge and attitude at Zagazig Fever hospital. Egypt Nurs J. 2018;15(3):281. [Link] [DOI:10.4103/ENJ.ENJ_18_18]
9. Adnyana I, Surya A. Strategy to control and eradicate dengue hemorrhagic fever vectors in Bali. Int J Public Heal Sci. 2023;12(1):196-202. [Link] [DOI:10.11591/ijphs.v12i1.22201]
10. Chaikoolvatana A, Singhasivanon P, Haddawy P. The development of an intelligent self-learning program in dengue mosquito and hemorrhagic fever surveillance. J Sci Technol Ubal Rajthani Univ. 2014;12(4):2553. [Link]
11. Chandra E, Zunidra Z, Ariyadi B, Ahyanti M. Trigger method in an effort to improve the culture of eradicating mosquito nests in the community. J Ilmiah Ilmu Kebidanan Kandungan. 2023;15(3):618-29. [Indonesian] [Link]
12. Arsin AA, Amiruddin R, Marzuki DS, Elisafitri R, Mallongi A, Yani A. Community empowerment with independent larva monitor in reducing the dengue hemorrhagic fever incidence, in Sidrap Regency. Pharmacognosy J. 2023;15(4):622-5. [Link] [DOI:10.5530/pj.2023.15.129]
13. Bakar AA, Kefli Z, Abdullah S, Sahani M. Predictive models for dengue outbreak using multiple rulebase classifiers. Proceedings of the 2011 International Conference on Electrical Engineering and Informatics; 2011 Jul 17-19. Bandung: IEEE; 2011. [Link] [DOI:10.1109/ICEEI.2011.6021830]
14. Desjardins MR, Casas I, Victoria AM, Carbonell D, Dávalos DM, Delmelle EM. Knowledge, attitudes, and practices regarding dengue, chikungunya, and Zika in Cali, Colombia. Health Place. 2020;63:102339. [Link] [DOI:10.1016/j.healthplace.2020.102339]
15. Díaz-González EE, Danis-Lozano R, Peñaloza G. Schools as centers for health educational initiatives, health behavior research and risk behavior for dengue infection in school children and community members: A systematic review. Health Educ Res. 2020;35(5):376-95. [Link] [DOI:10.1093/her/cyaa019]
16. Diaz-Quijano FA, Martínez-Vega RA, Rodriguez-Morales AJ, Rojas-Calero RA, Luna-González ML, Díaz-Quijano RG. Association between the level of education and knowledge, attitudes and practices regarding dengue in the Caribbean region of Colombia. BMC Public Health. 2018;18(1):143. [Link] [DOI:10.1186/s12889-018-5055-z]
17. El-Bahnasawy MMM, Megahed LA, Saleh HAA, Morsy TA. Training program for the nursing staff regarding the viral hemorrhagic fevers (VHFs) in a Fever Hospital. J Egypt Soc Parasitol. 2015;45(2):249-72. [Link] [DOI:10.21608/jesp.2015.89812]
18. Eldigail MH, Adam GK, Babiker RA, Khalid F, Adam IA, Omer OH, et al. Prevalence of dengue fever virus antibodies and associated risk factors among residents of El-Gadarif state, Sudan. BMC Public Health. 2018;18(1):921. [Link] [DOI:10.1186/s12889-018-5853-3]
19. Espinoza-Gómez F, Hernández-Suárez CM, Coll-Cárdenas R. Educational campaign versus malathion spraying for the control of Aedes aegypti in Colima, Mexico. J Epidemiol Community Health. 2002;56(2):148-52. [Link] [DOI:10.1136/jech.56.2.148]
20. Hsu JC, Hsieh CL, Lu CY. Trend and geographic analysis of the prevalence of dengue in Taiwan, 2010-2015. Int J InfectDis. 2017;54:43-9. [Link] [DOI:10.1016/j.ijid.2016.11.008]
21. Gamil MA, Eisa ZM, Eifan SA, Al-Sum BA. Prevalence of dengue fever in Jizan area, Saudi Arabia. J Pure Appl Microbiol. 2014;8(1):225-31. [Link]
22. Ibrahim NK, Abalkhail B, Rady M, Al Bar H. An educational programme on dengue fever prevention and control for females in Jeddah high schools. East Mediterr Health J. 2009;15(5):1058-67. [Link] [DOI:10.26719/2009.15.5.1058]
23. Huthmaker JW. Improving Dengue fever knowledge, attitude, and practices in primary school children in Florida through animation [Dissertation]. Minnesota: Capella University; 2015. [Link]
24. Fernandez S, Thomas SJ, De La Barrera R, Im-Erbsin R, Jarman RG, Baras B, et al. An adjuvanted, tetravalent dengue virus purified inactivated vaccine candidate induces long-lasting and protective antibody responses against dengue challenge in rhesus macaques. Am J Trop Med Hyg. 2015;92(4):698. [Link] [DOI:10.4269/ajtmh.14-0268]
25. Krishnan P. A review of the non-equivalent control group post-test-only design. Nurse Res. 2023;31(1). [Link]
26. Denny M, Denieffe S, Pajnkihar M. Using a non-equivalent control group design in educational research. California: SAGE Publications Ltd; 2017. [Link] [DOI:10.4135/9781526419156]
27. Imas Masturoh SKM, Imas Masturoh SKM, Nauri Anggita T, Nauri Anggita T. Health Research Methodology. Jakarta: Rineka Cipta: Ministry of Health of the Republic of Indonesia; 2018. [Indonesian] [Link]
28. Y, Abebe L, Alemayehu G, Sudhakar M, Birhanu Z. School-based social and behavior change communication (SBCC) advances community exposure to malaria messages, acceptance, and preventive practices in Ethiopia: a pre-posttest study. PLoS One. 2020;15(6):e0235189. [Link] [DOI:10.1371/journal.pone.0235189]
29. Khormi HM, Kumar L. Modeling dengue fever risk based on socioeconomic parameters, nationality and age groups: GIS and remote sensing based case study. Sci Total Environ. 2011;409(22):4713-9. [Link] [DOI:10.1016/j.scitotenv.2011.08.028]
30. Lennon JL, Coombs D. The utility of a board game for dengue hemorrhagic fever health education. Health Educ. 2001;107(3). [Link] [DOI:10.1108/09654280710742582]
31. Rahman MM, Khan SJ, Tanni KN, Roy T, Chisty MA, Islam MR, et al. Knowledge, attitude, and practices towards dengue fever among university students of Dhaka City, Bangladesh. Int J Environ Res Public Health. 2022;19(7):4023. [Link] [DOI:10.3390/ijerph19074023]
32. - Rahman MS, Karamehic-Muratovic A, Baghbanzadeh M, Amrin M, Zafar S, Rahman NN, et al. Climate change and dengue fever knowledge, attitudes and practices in Bangladesh: A social media-based cross-sectional survey. Trans R Soc Trop Med Hyg. 2021;115(1):85-93. [Link] [DOI:10.1093/trstmh/traa093]
33. Sultana A, Hasan S, Hossain M, Alim A, Al Mamun M, Bashar K. Larval breeding habitats and ecological factors influence the species composition of mosquito (Diptera: Culicidae) in the parks of Dhaka city, Bangladesh. Bangladesh J Zool. 2017;45(2):111-22. [Link] [DOI:10.3329/bjz.v45i2.35706]
34. Pratama IP, Handayani W, Setyono JS, Prayoga N. Community capacity building through an alternative approach based on participation in handling dengue hemorrhagic fever (DHF) in Semarang. J Reg City Plan. 2017;28(1):52-69. [Link] [DOI:10.5614/jrcp.2017.28.1.4]
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |