Predictive Index Using Receiver Operating Characteristic and Trend Analysis of Dengue Hemorrhagic Fever Incidence

Authors

DOI:

https://doi.org/10.3889/oamjms.2022.8975

Keywords:

Dengue hemorrhagic fever, Receiver operating characteristics, The host, Agent, Environment

Abstract

BACKGROUND: The city of Bandung is an endemic area of dengue hemorrhagic fever (DHF). Increased cases of DHF in the area have influenced the mortality rate. The number of deaths due to DHF in 2019 was 14 people.

AIM: This study aims to analyze the epidemiological determinants and to observe the trend of analysis to project DHF cases.

MATERIALS AND METHODS: This study used a case-control design. The case population is those who have DFH, while the control population is those who do not have DHF. There were 510 respondents included in this study. Samples were taken using a purposive sampling technique. Epidemiological determinants were analyzed using the Chi-square test and logistic regression, while the trend of the disease was analyzed using exponential smooth analysis.

RESULTS: The result of this study showed that education (p = 0.036), the presence of mosquito larvae (p = 0.000), container materials (p = 0.002), water containers (p = 0.025), mosquito nets (p = 0.010), the presence of solid waste (p = 0.002), mosquito repellent plants (p = 0.041), and mobility (0.004). The most dominant epidemiological determinant was the presence of mosquito larvae (odds ratio = 3.2). The predictive index of DHF can predict people who are sick with DHF among the sick population is 68.6%.

CONCLUSION: This study concluded that the significant epidemiological determinants are education, the presence of mosquito larvae, container materials, water containers, mosquito nets, the presence of solid waste, and mosquito repellent plants. Among those determinants, the presence of mosquito larvae is the most dominant factor. This study also concluded that there will be an increase in DFH cases over the next 5 years. Hence, it is important to increase larvae free index by empowering Kader Juru Pemantau Jentik (JUMANTIK) in Bandung and conducting epidemiological surveillance.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Plum Analytics Artifact Widget Block

References

Sutriyawan A, Aba M, Habibi J. Epidemiological determinants of dengue hemorrhagic fever (DHF) in Urban Areas: Retrospective study. J Nurs Public Health. 2020;8(2):1-9. DOI: https://doi.org/10.37676/jnph.v8i2.1173

Martini M. Incidence of dengue hemorrhagic fever (DHF) in semarang coastal area: Epidemiology descriptive case and bionomic vector. Indonesian J Trop Infect Dis. 2019;7(6):144-9. https://doi.org/10.20473/ijtid.v7i6.10389 DOI: https://doi.org/10.20473/ijtid.v7i6.10389

Yoshikawa MJ, Kusriastuti R, Liew C. An interdisciplinary study: Disseminating information on dengue prevention and control in the world-famous travel destination, Bali, Indonesia. Evol Instit Econ Rev. 2020;17(1):265-93. https://doi.org/10.1007/s40844-019-00138-0 DOI: https://doi.org/10.1007/s40844-019-00138-0

Mistawati M, Yasnani Y, Lestari H. Forecasting prevalence of dengue hemorrhagic fever using ARIMA model in Sulawesi Tenggara Province, Indonesia. Public Health Indonesia. 2021;7(2):75-86. https://doi.org/10.36685/phi.v7i2.411 DOI: https://doi.org/10.36685/phi.v7i2.411

World Health Organization. Dengue and Severe Dengue. Geneva: World Health Organization; 2021. Available from: https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue [Last accessed on 2021 Sep 01]. https://doi.org/10.1079/9781845939649.0168 DOI: https://doi.org/10.1079/9781845939649.0168

World Health Organization. Dengue in the South-East Asia. Geneva: World Health Organization; 2021. Available from: https://www.who.int/southeastasia/health-topics/dengue-and-severe-dengue [Last accessed on 2021 Sep 01]. https://doi.org/10.4103/2224-3151.115830 DOI: https://doi.org/10.4103/2224-3151.115830

Kementerian Kesehatan Republik Indonesia. Indonesia Health Profile 2019. Jakarta: Ministry of Health of the Republic of Indonesia; 2019.

Harapan H, Michie A, Mudatsir M, Sasmono RT, Imrie A. Epidemiology of dengue hemorrhagic fever in Indonesia: Analysis of five decades data from the national disease surveillance. BMC Res Notes. 2019;12(1):350. https://doi.org/10.1186/s13104-019-4379-9 PMid:31221186 DOI: https://doi.org/10.1186/s13104-019-4379-9

Sukri NC, Laras K, Wandra T, Didi S, Larasati RP, Rachdyatmaka JR, et al. Transmission of epidemic dengue hemorrhagic fever in easternmost Indonesia. Am J Trop Med Hyg. 2003;68(5):529-35. https://doi.org/10.4269/ajtmh.2003.68.529 PMid:12812338 DOI: https://doi.org/10.4269/ajtmh.2003.68.529

Respati T, Raksanagara A, Djuhaeni H. Dengue hemorrhagic fever program model, community participation, and basic sanitation in Bandung city. Bandung Med Mag. 2018;50(3):159-66. https://doi.org/10.15395/mkb.v50n3.1239 DOI: https://doi.org/10.15395/mkb.v50n3.1239

Walipah D, Retnawulan R. Mapping of Dengue Hemorrhagic Fever (DHF) in Bandung City using the Poisson Kriging method. Padjajaran University; 2016.

Ernyasih E, Zulfa R, Andriyani A, Fauziah M. Spatial analysis of dengue hemorrhagic fever in South Tangerang city 2016-2019. J Public Health Stud Dev. 2020;1(1):74-98.

Oriwarda E, Hayatie L, Djalalluddin D. Literature review: The relationship of public knowledge and behavior about PSN with the presence of Aedes aegypti larvae. Homeostasis. 2021;4(1):189-202.

Sukendra DM, Indrawati F, Hermawati B. Differences in mother’s knowledge regarding dengue hemorrhagic fever and prevention practices with Suna Trap. J Public Health Res Dev. 2017;1(4):143-53.

Berliano B, Sudiwati NL, Ahmad ZS. The effect of counseling on families’ ability to detect dengue hemorrhagic fever (DHF) in children. Nurs News 2019;4(1):2671.

Nugroho FM, Alimmahiransyah GF, Bandaso HD, Prihadi IA, Subroto DR, Maharani Y, et al. The relationship between the presence of mosquito larvae and the incidence of dengue hemorrhagic fever (DHF) in Sawit district, Boyolali regency. Community Medicine Nexus. 2018;7(1):263.

Apriyani US, Sutomo AH, Umniyati SR. Environmental sanitation and presence of Aedes sp. with the incidence of dengue hemorrhagic fever in Banguntapan Bantul. Community Med News. 2017;33(2):79-84. DOI: https://doi.org/10.22146/bkm.12704

Chandra E, Hamid E. The influence of climate factors, population density and larval free rate (ABJ) on the incidence of dengue hemorrhagic fever (DHF) in Jambi city. J Sustain Dev. 2019;2(1):1-15.

Samsuar E, Listiono H, Sutriyati S. The correlation of clean water container characteristics with the presence of Aedes aegypti mosquito larvae. Babul Ilmi Health Multi Sci Sci J. 2020;12(2):24.

Sari IP, Adrial A, Nofita E. Larva density relationship of Aedes spp. with the incidence of dengue hemorrhagic fever in Lubuk Buaya village, Koto Tangah district, Padang city. Andalas Health J. 2017;6(1):41-8. https://doi.org/10.25077/jka.v6i1.642 DOI: https://doi.org/10.25077/jka.v6i1.642

Indriyani Z, Rahardjo M, Setiani O. Relationship of environmental factors with the distribution of dengue hemorrhagic fever (DHF) in Jepara District, Jepara regency. J Public Health (Undip). 2017;3(3):842-50.

Fentia L. The relationship between physical environmental factors and family behavior on the incidence of dengue hemorrhagic fever (DHF) in the work area of the Payung Sekaki health center Pekanbaru city. Sci Tower. 2017;11(76):5. https://doi.org/10.53579/jitkt.v1i1.5 DOI: https://doi.org/10.53579/jitkt.v1i1.5

Rahmadani BY, Anwar MC. Environmental and behavioral risk factors associated with the incidence of dengue hemorrhagic fever (DHF) in the work area of the South Purwokerto health center, Banyumas regency in 2016. Buletin Keslingmas. 2017;36(4):455-62. https://doi.org/10.31983/keslingmas.v36i4.3126 DOI: https://doi.org/10.31983/keslingmas.v36i4.3126

Wijirahayu S, Sukesi TW. The relationship between physical environmental conditions and the incidence of dengue hemorrhagic fever in the work area of the Kalasan public health center, Sleman Regency. Indonesian J Environ Health. 2019;18(1):19-24. https://doi.org/10.2991/adics-phs-19.2019.11 DOI: https://doi.org/10.2991/adics-phs-19.2019.11

Ishak NI, Kasman K, Hidayah N. The effectiveness of lime kuit (Citrus amblycarpa) skin mat as an electric mosquito repellent against Aedes aegypti Mosquitoes. Window Health. 2021;20:133-43. https://doi.org/10.30597/mkmi.v15i3.6533 DOI: https://doi.org/10.30597/mkmi.v15i3.6533

Yati LM, Prasetijo R, Sumadewi NL. The relationship between environmental sanitation and the presence of Mosquito Larva on the incidence of dengue fever in Kesiman Kertalangu village, East Denpasar district. HIGIENE. 2020;6(1):295-8.

Salawati L, Siregar M, Hasibuan RS. The relationship between Mosquito nest eradication and the presence of Larva in Jaya Baru district, Banda Aceh in 2017. Med Darussalam. 2018;1(1):18-24.

Kurniawati RD, Sutriyawan A, Rahmawati SR. Knowledge and motivation analysis of using ovitrap as an effort to control Aedes aegepty Mosquito Larvae. J Public Health Sci. 2020;9(4):248-53. https://doi.org/10.33221/jikm.v9i04.813 DOI: https://doi.org/10.33221/jikm.v9i04.813

Murwanto B, Trigunarso SI, Purwono P. Social environmental factors, physical environment, and control of the DHF program on the incidence of dengue hemorrhagic fever (DHF). J Health. 2019;10(3):453-8.

Nasriah N. Factors associated with DHF incidence on balang Lompo Island, Pangkep regency. Sulolipu. 2019;17(2):73-81. https://doi.org/10.32382/sulolipu.v17i2.853 DOI: https://doi.org/10.32382/sulolipu.v17i2.853

Poetra RP, Samad MA. Analysis of the relationship between aedis aedis larvae density and community behavior on endemicity levels of dengue hemorrhagic fever in Pallangga District, Gowa regency. Indonesian Pelamonia Health Res J. 2018;1(1):5.

Pamungkas MB, Wibowo A. Application of ARIMA box-jenkins method to predict dengue cases in East Java Province. Indonesian J Public Health. 2019;13(2):183. DOI: https://doi.org/10.20473/ijph.v13i2.2018.183-196

Rompis CL, Sumampouw OJ, Joseph WB. Does rainfall affect the incidence of dengue hemorrhagic fever? Indonesian J Public Health Community Med. 2019;1(1):1-4.

Downloads

Published

2022-05-04

How to Cite

1.
Sutriyawan A, Herdianti H, Cakranegara PA, Lolan YP, Sinaga Y. Predictive Index Using Receiver Operating Characteristic and Trend Analysis of Dengue Hemorrhagic Fever Incidence. Open Access Maced J Med Sci [Internet]. 2022 May 4 [cited 2024 Apr. 24];10(E):681-7. Available from: https://oamjms.eu/index.php/mjms/article/view/8975

Issue

Section

Public Health Epidemiology

Categories