Analysis of Spatial Geographic Data on The Event of Dengue Hemorrhagic Fever

Radian Nur; Husaini Husaini; Eko Suhartono; Meitria Syahadatina Noor; Erida Wydiamala

doi:10.20527/jbk.v10i2.11148

Analysis of Spatial Geographic Data on The Event of Dengue Hemorrhagic Fever

Radian Nur, Husaini Husaini, Eko Suhartono, Meitria Syahadatina Noor, Erida Wydiamala

Abstract

Dengue fever (DHF) in Indonesia is increasing and spreading. This is due to weak early warning systems and risk factors for disease spread that are influenced by geospatial changes. This study employs a systematic review approach with meta-analysis to ascertain the impact of regional spatial data on dengue incidence. The results showed that rainfall tended to have a large effect on dengue incidence with an ES value of (0.44), temperature had a very small effect on dengue incidence with an ES value of (0.02), humidity had a moderate effect on dengue incidence with an ES value of (0.18), and wind speed tended to have a very large effect on dengue incidence with an ES value of (1.19). Temperature change had a significant influence on the incidence of DHF. Rainfall, temperature change, humidity and wind speed had an I-squared value (OR variation caused by heterogeneity) of 100% while wind speed was 0%. Rainfall, temperature change and humidity tended to have variable results so that they had a strong influence on the results of the meta-analysis, while wind speed tended to be homogeneous, allowing for high research bias.

Keywords

Weather, rainfall, humidity, temperature, dengue fever

Full Text:

PDF

References

Umakanth M, Suganthan N. Unusual Manifestations of Dengue Fever: A Review on Expanded Dengue Syndrome. Cureus. 2020;12(9). https://doi.org/10.7759/cureus.10678

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):1-6.

Abiodun GJ, Maharaj R, Witbooi P, et al. Modelling the influence of temperature and rainfall on the population dynamics of Anopheles arabiensis. Malar J. 2016;15:364. https://doi.org/10.1186/s12936-016-1411-6.

Fitriana B, Yudhastuti R. Hubungan faktor suhu dengan kasus demam berdarah dengue (DBD) di Kecamatan Sawahan Surabaya. Indonesian Journal. 2018.

Setiawan B, Supardi F, Bani VKB. Analisis Spasial Kerentanan Wilayah terhadap Kejadian Demam Berdarah Dengue di Wilayah Kerja Puskesmas Umbulharjo Kota Yogyakarta Tahun 2013. J Vektor Penyakit. 2017;11(2):77-87.

Koesnayani AS, Hidayat AK. Hubungan Antara Pola Curah Hujan dengan Kejadian DBD di Kota Tasikmalaya Tahun 2006-2015 (Kajian Jumlah Curah Hujan dan Hari Hujan). Jurnal Siliwangi. 2018;4(1):14-19.

Wirayoga M. Hubungan kejadian demam berdarah dengue dengan iklim di kota Semarang tahun 2006-2011. Unnes J Public Health. 2013;2(4). ISSN 2252-6528.

Yudhastuti R, Notobroto H. Model of Controlling Dengue Hemorrhagic Fever Based on Climate Factors in Endemic Area (Surabaya City in 2010-2012). Bandung: 47th APACPH Conference; 2015.

Siregar FA. Epidemiologi dan Pemberantasan Demam Berdarah Dengue (DBD) Di Indonesia. Universitas Sumatera Utara, Fakultas Kesehatan Masyarakat; 2016.

Xu Z, Bambrick H, Yakob L, Devine G, Lu J, Frentiu FD, et al. Spatiotemporal patterns and climatic drivers of severe dengue in Thailand. Sci Total Environ. 2019;656:889-901.

Xiang J, Hansen A, Liu Q, Liu X, Tong MX, Sun Y, et al. Association between dengue fever incidence and meteorological factors in Guangzhou, China, 2005–2014. Environ Res. 2017;153:17-26.

Faiz N. Analisis Spasial Penyebaran Penyakit Demam Berdarah Dengue Dengan Indeks Moran Dan Geary’s C (Studi Kasus Di Kota Semarang Tahun 2011). J Gaussian. 2013;2(1).

Chaiphongpachara T, Pimsuka S, Saisanan W, Ayudhaya N, Author C. The Application of Geographic Information System in Dengue Haemorrhagic Fever Risk Assessment. 2017;12(30):53-60.

Hulley SB. Designing Clinical Research. 3rd ed. Lippincott Williams & Wilkins; 2007. p. 32-35.

Cooke A, Smith D, Boot A. Beyond PICO: SPIDER Tool for Quantitative Evidence.

Polwiang S. The time series seasonal patterns of dengue fever and associated weather variables in Bangkok (2003-2017). BMC Infect Dis. 2020;20:208. https://doi.org/10.1186/s12879-020-4902-6.

Akter R, Hu W, Gatton M, Bambrick H, Naish S, Tong S. Different responses of dengue to weather variability across climate zones in Queensland, Australia. Environ Res. 2020;184:109222. https://doi.org/10.1016/j.envres.2020.109222.

Aswi A, Cramb S, Duncan E, Hu W, White G, Mengersen K. Climate variability and dengue fever in Makassar, Indonesia: Bayesian spatio-temporal modelling. Spat Spatiotemporal Epidemiol. 2020;33:100335. https://doi.org/10.1016/j.sste.2020.100335.

Adnan RA, Ramli MF, Othman HF, Asha’ri ZH, Ismail SNS, Zaudi MA, et al. Implication of climatic factors on dengue fever in urban area: Case study in 2012-2016. Environ Asia. 2020;13(3):89-102. https://doi.org/10.14456/ea.2020.45.

Dhewantara PW, Marina R, Puspita T, Ariati Y, Purwanto E, Hananto M, et al. Spatial and temporal variation of dengue incidence in the island of Bali, Indonesia: An ecological study. Travel Med Infect Dis. 2019;32:101437. https://doi.org/10.1016/j.tmaid.2019.06.008.

Yusnita Lalusu E, Herawati, Kodim N. Climate Change and Dengue Hemorrhagic Fever in Banggai Regency. Adv Health Sci Res. 2018;9:148-52. Available from: http://doi.org/10.2991/phico-17.2018.28.

Jayaraj VJ, Avoi R, Gopalakrishnan N, Raja DB, Umasa Y. Developing a dengue prediction model based on climate in Tawau, Malaysia. Acta Trop. 2019;197:105055. https://doi.org/10.1016/j.actatropica.2019.105055.

Lee JS, Carabali M, Lim JK, et al. Early warning signal for dengue outbreaks and identification of high-risk areas for dengue fever in Colombia using climate and non-climate datasets. BMC Infect Dis. 2017;17:480. https://doi.org/10.1186/s12879-017-2577-4.

Sihombing CG, Nugraheni E, Sudarsono W. The relationship between rainfall, air temperature, and wind speed effects dengue hemorrhagic fever case in Bengkulu city at 2009-2014. Diponegoro Med J. 2018;7(1):366-80. https://doi.org/10.14710/dmj.v7i1.19395.

Husnina Z, Clements ACA, Wangdi K. Forest cover and climate as potential drivers for dengue fever in Sumatra and Kalimantan 2006-2016: A spatiotemporal analysis. Trop Med Int Health. 2019;24(7):888-98. https://doi.org/10.1111/tmi.13248.

Lai YH. The climatic factors affecting dengue fever outbreaks in southern Taiwan: An application of symbolic data analysis. Biomed Eng Online. 2018;17(Suppl 2):148. https://doi.org/10.1186/s12938-018-0575-4.

Mala S, Jat MK. Geographic information system based spatio-temporal dengue fever cluster analysis and mapping. Egypt J Remote Sens Space Sci. 2019;22(3):297-304. https://doi.org/10.1016/j.ejrs.2019.08.002.

Hidayati L, Hadi UK, Soviana S. Kejadian demam berdarah dengue di Kota Sukabumi berdasarkan kondisi iklim. Acta Vet Indones. 2017;5(1):22-8. Available from: http://www.journal.ipb.ac.id/indeks.php/actavetindones.

Thi Tuyet-Hanh T, Nhat Cam N, Thi Thanh Huong L, et al. Climate variability and dengue hemorrhagic fever in Hanoi, Vietnam, during 2008 to 2015. Asia Pac J Public Health. 2018;30(6):532-41. https://doi.org/10.1177/1010539518790143.

Widowati M, Faujiyah MEA. Faktor iklim berpengaruh terhadap kejadian demam berdarah dengue di Kota Cimahi tahun 2004-2013. Spirakel. 2018;10(2):86-96.

Arcari P, Tapper N, Pfueller S. Regional variability in relationships between climate and dengue/dengue hemorrhagic fever incidence in Indonesia. Singapore J Trop Geogr. 2007;28(3):251-72. https://doi.org/10.1111/j.1467-9493.2007.00301.x.

Kementerian Kesehatan RI. Peraturan Menteri Kesehatan Nomor 035 Tahun 2012 tentang Pedoman Identifikasi Faktor Risiko Kesehatan Akibat Perubahan Iklim. 2012. Available from: http://www.djpp.kemenkumham.go.id/arsip/bn/2012/bn914-2012lamp.pdf.

Li Y, Dou Q, Lu Y, et al. Effects of ambient temperature and precipitation on the risk of dengue fever: A systematic review and updated meta-analysis. Environ Res. 2020;110043.

Hamman EA, Pappalardo P, Bence JR, Peacor SD, Osenberg CW. Bias in meta-analyses using Hedges' d. Ecosphere. 2018;9(9):e02419.

Nitatpattana N, Singhasivanon P, Honda K, et al. Potential association of dengue hemorrhagic fever incidence and remote sensed land surface temperature, Thailand, 1998. Southeast Asian J Trop Med Public Health. 2007;38(3):427-33.

Xu Z, Bambrick H, Yakob L, et al. Spatiotemporal patterns and climatic drivers of severe dengue in Thailand. Sci Total Environ. 2019;656:889-901.

Xiang J, Hansen A, Liu Q, et al. Association between dengue fever incidence and meteorological factors in Guangzhou, China, 2005–2014. Environ Res. 2017;153:17-26.

DOI: http://dx.doi.org/10.20527/jbk.v10i2.11148