HOT SPOT DETECTION AND SPATIO-TEMPORAL DYNAMICS OF DENGUE IN QUEENSLAND, AUSTRALIA

被引:14
|
作者
Naish, S. [1 ]
Tong, S. [1 ]
机构
[1] Queensland Univ Technol, Inst Hlth & Biomed Innovat, Sch Publ Hlth & Social Work, Brisbane, Qld 4001, Australia
来源
ISPRS TECHNICAL COMMISSION VIII SYMPOSIUM | 2014年 / 40-8卷
关键词
Clusters; Dengue; Geographical information systems; Spatiotemporal; Spatial autocorrelation; AEDES-AEGYPTI; CLIMATE-CHANGE; DISEASE; ASSOCIATION; ALBOPICTUS; KNOWLEDGE; VARIABLES; CLUSTERS; VECTORS; FUTURE;
D O I
10.5194/isprsarchives-XL-8-197-2014
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Dengue has been a major public health concern in Australia since it re-emerged in Queensland in 1992-1993. This study explored spatio-temporal distribution and clustering of locally-acquired dengue cases in Queensland State, Australia and identified target areas for effective interventions. A computerised locally-acquired dengue case dataset was collected from Queensland Health for Queensland from 1993 to 2012. Descriptive spatial and temporal analyses were conducted using geographic information system tools and geostatistical techniques. Dengue hot spots were detected using SatScan method. Descriptive spatial analysis showed that a total of 2,398 locally-acquired dengue cases were recorded in central and northern regions of tropical Queensland. A seasonal pattern was observed with most of the cases occurring in autumn. Spatial and temporal variation of dengue cases was observed in the geographic areas affected by dengue over time. Tropical areas are potential high-risk areas for mosquito-borne diseases such as dengue. This study demonstrated that the locally-acquired dengue cases have exhibited a spatial and temporal variation over the past twenty years in tropical Queensland, Australia. There is a clear evidence for the existence of statistically significant clusters of dengue and these clusters varied over time. These findings enabled us to detect and target dengue clusters suggesting that the use of geospatial information can assist the health authority in planning dengue control activities and it would allow for better design and implementation of dengue management programs.
引用
收藏
页码:197 / 204
页数:8
相关论文
共 50 条
  • [11] Bayesian temporal, spatial and spatio-temporal models of dengue in a small area with INLA
    Sani, Asrul
    Abapihi, Bahriddin
    Mukhsar
    Tosepu, Ramadhan
    Usman, Ida
    Rahman, Gusti Arviani
    INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION, 2023, 43 (06) : 939 - 951
  • [12] Assessing the social and environmental determinants of pertussis epidemics in Queensland, Australia: a Bayesian spatio-temporal analysis
    Huang, X.
    Lambert, S.
    Lau, C.
    Magalhaes, R. J. Soares
    Marquess, J.
    Rajmokan, M.
    Milinovich, G.
    Hu, W.
    EPIDEMIOLOGY AND INFECTION, 2017, 145 (06) : 1221 - 1230
  • [13] Spatio-temporal relative survival of breast and colorectal cancer in Queensland, Australia 2001-2011
    Cramb, Susanna M.
    Mengersen, Kerrie L.
    Baade, Peter D.
    SPATIAL AND SPATIO-TEMPORAL EPIDEMIOLOGY, 2016, 19 : 103 - 114
  • [14] Spatio-temporal variability in the transmission of dengue in Buenos Aires City.
    Carbajo, AE
    Gomez, SM
    Curto, SI
    Schweigmann, NJ
    MEDICINA-BUENOS AIRES, 2004, 64 (03) : 231 - 234
  • [15] Impact of deforestation and climate on spatio-temporal spread of dengue fever in Mexico
    Galeana-Pizana, Jose Mauricio
    Cruz-Bello, Gustavo Manuel
    Caudillo-Cos, Camilo Alberto
    Jimenez-Ortega, Aldo Daniel
    SPATIAL AND SPATIO-TEMPORAL EPIDEMIOLOGY, 2024, 50
  • [16] Spatio-Temporal Determinants of Dengue Epidemics in the Central Region of Burkina Faso
    Ouattara, Cheick Ahmed
    Traore, Tiandiogo Isidore
    Ouedraogo, Boukary
    Sylla, Bry
    Traore, Seydou
    Meda, Clement Ziemle
    Sangare, Ibrahim
    Savadogo, Leon Blaise G.
    TROPICAL MEDICINE AND INFECTIOUS DISEASE, 2023, 8 (11)
  • [17] Spatio-temporal correlation networks of dengue in the state of Bahia
    Saba, Hugo
    Vale, Vera C.
    Moret, Marcelo A.
    Miranda, Jose Garcia V.
    BMC PUBLIC HEALTH, 2014, 14
  • [18] Spatio-temporal correlation networks of dengue in the state of Bahia
    Hugo Saba
    Vera C Vale
    Marcelo A Moret
    José Garcia V Miranda
    BMC Public Health, 14
  • [19] Spatio-temporal analysis of fire occurrence in Australia
    Valente, Fernanda
    Laurini, Marcio
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2021, 35 (09) : 1759 - 1770
  • [20] Spatio-temporal detection for dengue outbreaks in the Central Region of Malaysia using climatic drivers at mesoscale and synoptic scale
    Yip, Stan
    Him, Norziha Che
    Jamil, Nur Izzah
    He, Daihai
    Sahu, Sujit K.
    CLIMATE RISK MANAGEMENT, 2022, 36