•  
  •  
 

Abstract

Malaria is a significant health problem in Indonesia, especially in West Java Province which is at high risk due to its population density and environmental conditions. The incidence of malaria is associated with climate factors (rainfall, humidity, and air temperature). This study aims to study the spatial mapping of malaria cases and their relationship with climate factors. This study used an ecological study design. Secondary data from the West Java Health Office and the West Java Central Statistics Agency in 2019. Univariate and bivariate analysis with the study population covering the entire population of West Java, with a sample of 232 residents who were detected with malaria throughout 2019 and a confidence level of 95%. The results of all data are valid. Univariate and bivariate analysis showed a significant relationship between malaria incidence and rainfall (p=0.001), humidity (p=0.004), and air temperature (p=0.011) in West Java Province in 2019. Spatial mapping using ArcGIS showed that areas with high rainfall and humidity tend to have a greater number of malaria cases. This study confirms that climate factors play an important role in the spread of malaria, thus requiring location-based interventions for more effective disease control.

References

  1. Astuti, EP,et al. (2019) 'Malaria Control Efforts in the Framework of Pre-Elimination in Garut Regency: A Qualitative Study',Health Systems Research Bulletin, 22, (4).
  2. Central Statistics Agency of West Java Province. (2019). Data on Air Temperature, Humidity, Rainfall Rain in West Java Province 2019. Central Bureau of Statistics. https://jabar.bps.go.id.
  3. CDC. (2024)Malaria'sImpactWorldwide.Available https://www.cdc.gov/ malaria/php/impact/index.html(Accessed: October 15, 2024).
  4. Djaafara, BA, Lestari, KD, Fajariyani, SB, Sunandar, E., Makamur, BG, Wopari, B., Mabui, S., Ekawati, LL, Sagara, R. and Lina, RN, (2022). Quantifying spatial heterogeneity of malaria in the endemic Papua region of Indonesia: Analysis of epidemiological surveillance data. The Lancet Regional Health-Southeast Asia, 5.
  5. Hastuty, HSB, and Setyowati, DW (2021) 'Spatial Distribution of Malaria Patients in East Sentani District, Jayapura Regency,Batik, 25(1), doi: 10.46984/sebatik.v25i1.1295
  6. Number of Malaria Cases by Regency/City in West Java (2019) Open West Java Province Data. Available at: https://opendata.jabarprov.go.id/id/ dataset/jumlah-kasus-penyakit-malaria-berdasarka n-kabupatenkota-di-jawa- barat (Accessed: 04 December 2024).
  7. Kusuma, AP, & Sukendra, DM (2016). Spatial analysis of dengue fever incidence. based on population density.Unnes Journal of Public Health,5(1), 48-56.
  8. Malaria (2023)WorldHealthOrganization.Available https://www.who.int/newsa- t:room/fact-sheets/detail/malaria (Accessed: 16 October 2024).
  9. Mbiliyora, A., et al. (2023) 'Spatial Mapping of Malaria and Risk Factors in Sub-district Lamboya, West Sumba Regency',Vocational Health Journal, 8(4), doi: https:// doi.org/10.22146/jkesvo.88985.
  10. Mufara, CN, and Wahyono, TYM (2023) 'Preventive Behavioral Factors Against Incidents Malaria in Papua: Analysis of Riskesdas 2010 - 2018',MPPKI, 6(5).
  11. Nazhid, ARM and Savitri Wulandari (2023) Reviewing Malaria Elimination, APBN Bulletin. Available at: https://berkas.dpr.go.id/pa3kn/buletin-apbn/public-file/buletin-apbn-public-192.pdf (Accessed: 16 October 2024).
  12. Rachman, I., Harahap, PS, & Alanuari, A. (2017). Temperature, Humidity and Use Mosquito Nets Associated with High Malaria Incidence in Durian Luncuk Village. Endurance Journal, 2(2), 194-202.
  13. Rizal, S., & Syaibana, PLD (2022). Analysis of Accessibility and Distribution Patterns State Senior High Schools in Banyuwangi Regency Using Buffering and Nearest Neighbor Analysis in Q-GIS Application. Techno. Com, 21(2), 355-363.
  14. Sari, HN, Umar Zein, Lestari, IC and Ramadhan Bestari (2024) “Patient Profile "Malaria In Three Endemic Villages Of Malaria In Tanjung Beringin District, Serdang Bedagai Regency In 2022", Ibnu Sina: Journal of Medicine and Health - Faculty of Medicine, Islamic University of North Sumatra, 23(2), pp. 227-234. doi: 10.30743/ibnusina.v23i2.657.
  15. Siswanto, S. and Thamrin, SA (2020). Determination of potential factors that influencing the incidence of malaria in Papua Province with spatial epidemiology. Indonesian Journal of Statistics and Its Applications, 4(3), pp.498-509
  16. Sulasmi, S., Setyaningtyas, DE, Rosanji, A., & Rahayu, N. (2017). The Influence of Rainfall, Humidity and Temperature on Malaria Prevalence in Tanah Bumbu Regency, South Kalimantan.J Heal Epidemiol Commun Dis, 3(1), 22-27.
  17. Silalahi, S., Sambuaga, JV, & Sjarkawi, JA (2013). Relationship between Temperature Conditions, Humidity, and Vector Density (MBR) with Malaria Incidence in Tambelang Village, South Touluaan District, Southeast Minahasa Regency.Journal of Environmental Health, 2(2), 1-15.
  18. Syukur, M. and Winarti, E. (2024) 'Analysis Of Community Behavior Factors And The Incidence Of Malaria In Papua: Literature Review', Tambusai Health Journal, 5(1), pp. 1474–1484. World Health Organization (2023).Malaria. [online] World Health Organization. Available at: https://www.who.int/news-room/fact-sheets/detail/malaria.

Bahasa Abstract

Malaria is a significant health problem in Indonesia, especially in West Java Province which is at high risk due to its population density and environmental conditions. The incidence of malaria is associated with climate factors (rainfall, humidity, and air temperature). This study aims to study the spatial mapping of malaria cases and their relationship with climate factors. This study used an ecological study design. Secondary data from the West Java Health Office and the West Java Central Statistics Agency in 2019. Univariate and bivariate analysis with the study population covering the entire population of West Java, with a sample of 232 residents who were detected with malaria throughout 2019 and a confidence level of 95%. The results of all data are valid. Univariate and bivariate analysis showed a significant relationship between malaria incidence and rainfall (p=0.001), humidity (p=0.004), and air temperature (p=0.011) in West Java Province in 2019. Spatial mapping using ArcGIS showed that areas with high rainfall and humidity tend to have a greater number of malaria cases. This study confirms that climate factors play an important role in the spread of malaria, thus requiring location-based interventions for more effective disease control.

Download

Share

COinS