Sari Sri Yusnita Irda, Adelwin Yessika, Rinawan Fedri Ruluwedrata
Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung 40161, Indonesia.
Trop Med Infect Dis. 2020 May 2;5(2):70. doi: 10.3390/tropicalmed5020070.
Dengue Hemorrhagic Fever (DHF) in Indonesia has increased steadily with Bandung as a hyper-endemic area holding a high number of cases for years. This study aimed to identify cluster areas and their correlation with land use changes which was indicated by changes of Normalized Difference Vegetation Index (NDVI). Hospital surveillance of 28,327 cases during 2008-2013 was geo-coded into sub-district levels and analyzed to find cluster areas over time and space using SaTScan and ArcGIS. Spearman correlation was used to analyze NDVI with Incidence Rate (IR) in each area. IR of DHF cases tended to increase over 6 years during high precipitation period. Cases were concentrated in several cluster areas in 2009 then moved to eastern part of the city in 2013. NDVI had negative correlation with IR in 2008 (r = -0.258; p = 0.001) and positive correlation in 2012 (r = 0.193; p = 0.017). Clear geographical pattern by cluster identification overtime is beneficial for targeting appropriate vector-control program.
印度尼西亚的登革出血热（DHF）病例数一直在稳步上升，万隆作为一个高度流行地区，多年来病例数居高不下。本研究旨在确定聚集区及其与土地利用变化的相关性，土地利用变化通过归一化植被指数（NDVI）的变化来体现。对2008年至2013年期间28327例病例的医院监测数据进行地理编码至街道级别，并使用SaTScan和ArcGIS分析以找出随时间和空间变化的聚集区。采用Spearman相关性分析各区域NDVI与发病率（IR）的关系。在高降水期，登革出血热病例的发病率在6年中呈上升趋势。2009年病例集中在几个聚集区，然后在2013年转移到城市东部。2008年NDVI与发病率呈负相关（r = -0.258；p = 0.001），2012年呈正相关（r = 0.193；p = 0.017）。通过随时间推移识别聚集区得出的清晰地理模式，有利于制定合适的病媒控制计划。
