Spatial Autocorrelation of Dengue Haemorrhagic Fever (DHF) Cases Using the Moran's Index Method in Muaro Jambi District, Indonesia
Abstract
Dengue incidents in Jambi Province have spread to all districts/cities. Muaro Jambi Regency occupies the second position with the highest cases after Jambi Municipality. This study aims to determine the spatial autocorrelation of DHF cases in Muaro Jambi Regency in 2017–2021. The DHF cases analyzed in this study are case data recorded at the surveillance section of the Muaro Jambi Regency Health Office from 2017-2021. This study analyzed aggregate data from 22 working areas of community health centers in Muaro Jambi Regency. The software GeoDa 1.10 was used for analyzing the Global Moran Index and the Local Indicator for Spatial Autocorrelation (LISA). The results of the global moran's index analysis show that in 2017 (I=-0.400; p=0,001) and 2018 (I=-0,277; P=0,006) the pattern of distribution of DHF cases is spread , while in 2019 to 2021 the results of the analysis show that it is not significant. The results of the analysis using LISA found spatial autocorrelation of DHF cases in the High-High category (hotspots) in 2020 at the Tantan 1 Health Center. Areas with the Low-Low category (cold spots) in 2019 were found at the Kebon IX Health Center, and in 2021 at the Tempino Health Center.
References
Abd Naeeim, N. S., & Abdul Rahman, N. (2021). Spatio-temporal clustering analysis of dengue disease in Peninsular Malaysia. Journal of Public Health (Germany). https://doi.org/10.1007/s10389-020-01448-z
Achmadi, U. F. (2012). Manajemen Penyakit Berbasis Wilayah (Edisi Revi). Rajawali Press.
Alfiyanti, U. N., & Siwiendrayant, A. (2021). Analisis Spasial Dan Temporal Kejadian DBD Di Kota Semarang Tahun 2016-2019. Jurnal Kesehatan Lingkungan, 18(1), 39–48. https://doi.org/10.31964/jkl.v18i1.286
Ali, S., Naqvi, A., Sajjad, M., Waseem, L. A., Khalid, S., Shaikh, S., Jamil, S., & Kazmi, H. (2021). Integrating Spatial Modelling and Space – Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives : A Case of Dengue Fever in Pakistan. Environmental Research and Public Health, 18(12018), 1–30.
Anno, S., Imaoka, K., Tadono, T., Igarashi, T., Sivaganesh, S., Kannathasan, S., Kumaran, V., Surendran, S. N., & Agency, E. (2015). Space-time clustering characteristics of dengue based on ecological , socio-economic and demographic factors in northern Sri Lanka. Geosptial Health, 10, 215–222. https://doi.org/10.4081/gh.2015.376
Astuti, E. P., Dhewantara, P. W., Prasetyowati, H., Ipa, M., Herawati, C., & Hendrayana, K. (2019). Paediatric dengue infection in Cirebon, Indonesia: A temporal and spatial analysis of notified dengue incidence to inform surveillance. Parasites and Vectors, 12(1), 1–12. https://doi.org/10.1186/s13071-019-3446-3
Azevedo, T. S. de, Lorenz, C., & Chiaravalloti-Neto, F. (2020). Spatiotemporal Evolution of Dengue Outbreaks in Brazil. Transsactions of The Royal Society of Tropical Medicine and Hygine, 114(8), 593–602.
Dhewantara, P., Riandi, M., Wahono, P., Mujianto, M., & Hidayat, S. (2020). Geographical and Temporal Dynamic of Dengue Fever in Java Island, Indonesia (2007-2018) : Evidence base to Guide Effective Interventions. International Joirnal of Infectious Disease, 101(1).
Dhewantara, P. W., Ruliansyah, A., Fuadiyah, M. E. A., Astuti, E. P., Widawati, M., & Widawati, M. (2015). Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia. Geospatial Health, 10(2), 255–260. https://doi.org/10.4081/gh.2015.373
Dinkes Muaro Jambi. (2021). Laporan Surveilans Penyakit DBD Di Kabupaten Muaro Jambi.
Dinkes Provinsi Jambi. (2021). Data Kasus DBD Per Bulan Per Kabupaten/Kota Di Provinsi Jambi.
do Carmo, R. F., Silva Júnior, J. V. J., Pastor, A. F., & de Souza, C. D. F. (2020). Spatiotemporal dynamics, risk areas and social determinants of dengue in Northeastern Brazil, 2014–2017: an ecological study. Infectious Diseases of Poverty, 9(1). https://doi.org/10.1186/S40249-020-00772-6
ESRI. (2021). How Spatial Autocorrelation (Global Moran’s I) works—. In ArcGIS Pro. https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/h-how-spatial-autocorrelation-moran-s-i-spatial-st.htm
Fatati, I. F., Wijayanto, H., & Soleh, A. M. (2017). Analisis Regresi Spasial dan Pola Penyebaran Pada Kasus Demam Derdarah Dengue (DBD) Di Provinsi Jawa Tengah. Media Statistika, 10(2), 95–105. https://doi.org/10.14710/medstat.10.2.95-105
Fauzi, I. S., Nuraini, N., Ayu, R. W. S., & Lestari, B. W. (2022). Temporal trend and spatial clustering of the dengue fever prevalence in West Java, Indonesia. Heliyon, 8(8), e10350. https://doi.org/10.1016/J.HELIYON.2022.E10350
Fuadzy, H., Prasetyowati, H., Marliyanih, E. S., Hendra, A., & Dadang, A. M. (2021). Autokorelasi Spasial Demam Berdarah Dengue di Kota Tasikmalaya. ASPIRATOR - Journal of Vector-Borne Disease Studies, 13(2), 113–126. https://doi.org/10.22435/ASP.V13I2.5241
Hernandez-Gaytan, S. I., Dıaz-Vasquez, F. J., Duran-Arenas, L. G., Cervantes, M. L., & Rothenberg, S. J. (2017). 20 Years Spatial-Temporal Analysis of Dengue Fever and Hemorrhagic Fever in Mexico. Archives of Medical Research, 48, 653–662. https://doi.org/10.1016/j.arcmed.2018.01.003
Ishak, H., Mallongi, A., Wahid, I., & Bachtiar, I. (2018). Spatio-Temporal Factors Related to Dengue Hemorrhagic Fever in Makassar City , 2010 – 2014. Indian Journal of Public Health Research & Development, 9(6), 452–456. https://doi.org/10.5958/0976-5506.2018.00596.X
Kemenkes. (2021). Data DBD Indonesia. In Kementerian Kesehatan Republik Indonesia.
Kemenkes RI. (2010). RPJMN 2010-2014.
Kemenkes RI. (2017). Pedoman Pencegahan dan Pengendalian Demam Berdarah Dengue Di Indonesia.
Khairunisa, U., Wahyuningsih, N. E., & Hapsari. (2017). Kepadatan Jentik Nyamuk Aedes sp. (House Index) sebagai Indikator Surveilans Vektor Demam Berdarah Dengue di Kota Semarang. Jurnal Kesehatan Masyarakat, 5(5), 906–910.
Lessler, J., Azman, A. S., McKay, H. S., & Moore, S. M. (2017). What is a Hotspot Anyway? The American Journal of Tropical Medicine and Hygiene, 96(6), 1270. https://doi.org/10.4269/AJTMH.16-0427
Masluhiya, S. A., Kesehatan Masyarakat, F., Halu Oleo, U., Ilmu Kesehatan, F., & Tribhuwana Tunggadewi, U. (2021). Trend Penyakit Demam Berdarah Dengue (DBD) di Sulawesi Tenggara Berbasis Ukuran Epidemiologi. JUMANTIK (Jurnal Ilmiah Penelitian Kesehatan), 6(1), 70–78. https://doi.org/10.30829/JUMANTIK.V6I1.7968
Masrani, A. S., Nik Husain, N. R., Musa, K. I., & Yasin, A. S. (2022). Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia. Journal of Preventive Medicine and Public Health, 55(1), 80. https://doi.org/10.3961/JPMPH.21.461
Maula, A. W., Fuad, A., & Utarini, A. (2018). Ten-years trend of dengue research in Indonesia and South-east Asian countries: a bibliometric analysis. Global Health Action, 11(1). https://doi.org/10.1080/16549716.2018.1504398
Murdaningsih Pangestuty, D., Kalimantan Timur, M., & Juanda, J. (2020). Autocorrelation of Spatial Based Dengue Hemorrhagic Fever Cases in Air Putih Area, Samarinda City. JURNAL KESEHATAN LINGKUNGAN , 12(2), 78–86. https://doi.org/10.20473/JKL.V12I2.2020.78-86
Murugesan, A., & Manoharan, M. (2020). Dengue Virus. Emerging and Reemerging Viral Pathogens, 281. https://doi.org/10.1016/B978-0-12-819400-3.00016-8
Pasaribu, A. P., Tsheten, T., Yamin, M., Maryani, Y., Fahmi, F., Clements, A. C. A., Gray, D. J., & Wangdi, K. (2021). Spatio-temporal patterns of dengue incidence in Medan City, North Sumatera, Indonesia. Tropical Medicine and Infectious Disease, 6(1). https://doi.org/10.3390/tropicalmed6010030
Punyapornwithaya, V., Sansamur, C., & Charoenpanyanet, A. (2020). Epidemiological characteristics and determination of spatio-temporal clusters during the 2013 dengue outbreak in Chiang Mai , Thailand Veterinary Public Health and Food Safety Centre for Asia Pacific , Faculty of Veterinary Medicine , Chiang o m m er al u. Geospatial Health 2020, 15(875), 320–325. https://doi.org/10.4081/gh.2020.857
Rather, I. A., Parray, H. A., Lone, J. B., Paek, W. K., Lim, J., & Park, Y. (2017). Prevention and Control Strategies to Counter Dengue Virus Infection. Cellular and Infection Microbiology, 7(336), 1–8. https://doi.org/10.3389/fcimb.2017.00336
Sitepu, F. Y., Depari, E., & Debataradja, B. (2020). Space Time Cluster of Dengue Fever In Medan Municipality, North Sumatera, Indonesia. Malaysian Journal of Public Health Medicine, 20(2), 37–42.
Thammarat, S., Abdulsalam, F. I., Yimthiang, S., La-up, A., Ditthakit, P., Cheewinsiriwat, P., & Jawjit, W. (2021). Association between climate variables and dengue incidence In Nakhon Si Thammarat Province, Thailand. Geospatial Health 2021, 16(1012). https://doi.org/10.4081/gh.2021.1012
Trihastuti, R., & Hendrati, L. Y. (2021). Spatial Analysis Of Dengue Hemorragic Fever Based On Influencing Factors In Jombang, 2014–2018. Jurnal Berkala Epidemiologi, 9(1), 79–87. https://doi.org/10.20473/jbe.v9i12021.79
Tuiskunen, A., & Lundkvis, A. (2013). Dengue viruses Á an overview ˚. 1, 1–21.
Utama, I. M. S., Lukman, N., Sukmawati, D. D., Alisjahbana, B., Alam, A., Murniati, D., Gede, I. M., Lingga, D., Id, D. P., Id, H. K., Laksono, I., & Id, M. K. (2019). Dengue viral infection in Indonesia : Epidemiology , diagnostic challenges , and mutations from an observational cohort study. PLOS Negleted Tropical Diesease, 1–19. https://doi.org/10.1371/journal.pntd.0007785 October
Wang, W. H., Urbina, A. N., Chang, M. R., Assavalapsakul, W., Lu, P. L., Chen, Y. H., & Wang, S. F. (2020). Dengue hemorrhagic fever – A systemic literature review of current perspectives on pathogenesis, prevention and control. Journal of Microbiology, Immunology and Infection, 53(6), 963–978. https://doi.org/10.1016/J.JMII.2020.03.007
Wangdi, K., Clements, A. C. A., Du, T., & Nery, S. V. (2018). Spatial and temporal patterns of dengue infections in Timor-Leste , 2005 – 2013. Parasites&Vectors, 1–9. https://doi.org/10.1186/s13071-017-2588-4
Waters, N. (2017). Tobler’s First Law of Geography. International Encyclopedia of Geography: People, the Earth, Environment and Technology, 1–13. https://doi.org/10.1002/9781118786352.WBIEG1011
WHO. (2023). Dengue and Severe Dengue. https://doi.org/10.1111/1469-0691.12442
Zhang, Q., Chen, Y., Fu, Y., Liu, T., Zhang, Q., & Guo, P. (2019). Epidemiology of dengue and the effect of seasonal climate variation on its dynamics : a spatio-temporal descriptive analysis in the Chao-Shan area on China ’ s southeastern coast. BMJ Open. https://doi.org/10.1136/bmjopen-2018-024197
Zhu, G., Xiao, J., Liu, T., Zhang, B., Hao, Y., & Ma, W. (2019). Spatiotemporal analysis of the dengue outbreak in Guangdong Province, China. BMC Infectious Diseases, 19(1). https://doi.org/10.1186/S12879-019-4015-2
Copyright (c) 2023 Indonesian Journal of Global Health Research

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.



