Importance of Public Transport Networks for Reconciling the Spatial Distribution of Dengue and the Association of Socio-Economic Factors with Dengue Risk in Bangkok, Thailand

被引:8
|
作者
Lefebvre, Bertrand [1 ]
Karki, Rojina [2 ]
Misslin, Renaud [3 ]
Nakhapakorn, Kanchana [4 ]
Daude, Eric [5 ]
Paul, Richard E. [6 ]
机构
[1] French Inst Pondicherry, UMIFRE CNRS MEAE 21, Pondicherry 605001, India
[2] Univ Rennes, EHESP, CNRS, ARENES UMR 6051, F-35000 Rennes, France
[3] INRAE, F-68000 Colmar, France
[4] Mahidol Univ, Fac Environm & Resource Studies, Salaya 73170, Nakhon Pathom, Thailand
[5] CNRS, UMR 6266, IDEES, 7 Rue Thomas Becket, F-76821 Rouen, France
[6] Univ Paris, Inst Pasteur, Unite Genet Fonct Malad Infect, CNRS,UMR 2000, F-75015 Paris, France
关键词
dengue; socio-economic risk; spatial clusters; mobility; transport system; Bangkok; TEMPERATURE-FLUCTUATIONS; HEMORRHAGIC-FEVER; CLIMATE-CHANGE; AEDES-AEGYPTI; TRANSMISSION; IMPACT;
D O I
10.3390/ijerph191610123
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Dengue is the most widespread mosquito-borne viral disease of man and spreading at an alarming rate. Socio-economic inequality has long been thought to contribute to providing an environment for viral propagation. However, identifying socio-economic (SE) risk factors is confounded by intra-urban daily human mobility, with virus being ferried across cities. This study aimed to identify SE variables associated with dengue at a subdistrict level in Bangkok, analyse how they explain observed dengue hotspots and assess the impact of mobility networks on such associations. Using meteorological, dengue case, national statistics, and transport databases from the Bangkok authorities, we applied statistical association and spatial analyses to identify SE variables associated with dengue and spatial hotspots and the extent to which incorporating transport data impacts the observed associations. We identified three SE risk factors at the subdistrict level: lack of education, % of houses being cement/brick, and number of houses as being associated with increased risk of dengue. Spatial hotspots of dengue were found to occur consistently in the centre of the city, but which did not entirely have the socio-economic risk factor characteristics. Incorporation of the intra-urban transport network, however, much improved the overall statistical association of the socio-economic variables with dengue incidence and reconciled the incongruous difference between the spatial hotspots and the SE risk factors. Our study suggests that incorporating transport networks enables a more real-world analysis within urban areas and should enable improvements in the identification of risk factors.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] Climatic and socio-economic factors supporting the co-circulation of dengue, Zika and chikungunya in three different ecosystems in Colombia
    Morgan, Jasmine
    Strode, Clare
    Salcedo-Sora, J. Enrique
    PLOS NEGLECTED TROPICAL DISEASES, 2021, 15 (03):
  • [22] Socio-Economic and Demographic Factors Associated with the Spatial Distribution of COVID-19 in Africa
    Asiyeh Abdollahi
    Saeed Behzadi
    Journal of Racial and Ethnic Health Disparities, 2023, 10 : 2762 - 2774
  • [23] Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka
    Anno, Sumiko
    Imaoka, Keiji
    Tadono, Takeo
    Igarashi, Tamotsu
    Sivaganesh, Subramaniam
    Kannathasan, Selvam
    Kumaran, Vaithehi
    Surendran, Sinnathamby Noble
    GEOSPATIAL HEALTH, 2015, 10 (02) : 215 - 222
  • [24] Spatio-temporal modelling of dengue fever cases in Saudi Arabia using socio-economic, climatic and environmental factors
    Siddiq, Ali
    Shukla, Nagesh
    Pradhan, Biswajeet
    GEOCARTO INTERNATIONAL, 2022, 37 (26) : 12867 - 12891
  • [25] Spatial analysis of dengue fever and exploration of its environmental and socio-economic risk factors using ordinary least squares: A case study in five districts of Guangzhou City, China, 2014
    Yue, Yujuan
    Sun, Jimin
    Liu, Xiaobo
    Ren, Dongsheng
    Liu, Qiyong
    Xiao, Xiangming
    Lu, Liang
    INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2018, 75 : 39 - 48
  • [26] Perinatal mortality in an English health region: geographical distribution and association with socio-economic factors
    Martuzzi, M
    Grundy, C
    Elliott, P
    PAEDIATRIC AND PERINATAL EPIDEMIOLOGY, 1998, 12 (03) : 263 - 276
  • [27] Association between vehicular emissions and cardiorespiratory disease risk in Brazil and its variation by spatial clustering of socio-economic factors
    Requia, Weeberb J.
    Koutrakis, Petros
    Roig, Henrique L.
    Adams, Matthew D.
    Santos, Cleide M.
    ENVIRONMENTAL RESEARCH, 2016, 150 : 452 - 460
  • [28] GEOGRAPHIC, ECONOMIC AND SOCIO-CULTURAL FACTORS WHICH DEFINING THE RISK OF DENGUE TRANSMISSION IN KELANIYA, SRI LANKA
    Nadeeka, P. V. J.
    Gunathilaka, P. A. D. H. N.
    Amarasinghe, L. D.
    JOURNAL OF EXPERIMENTAL BIOLOGY AND AGRICULTURAL SCIENCES, 2014, 2 (02): : 157 - 164
  • [29] Impact of Socio-Economic factors on Consumption Expenditure through Public Distribution System in rural India
    Mukesh
    Srivastava N.
    Journal of Quantitative Economics, 2017, 15 (2) : 291 - 305
  • [30] Mapping chicken production and distribution networks in Vietnam: An analysis of socio-economic factors and their epidemiological significances
    Dien, Nguyen Thi
    Khue, Nguyen Thi Minh
    Ebata, Ayako
    Fournie, Guillaume
    Huyen, Le Thi Thanh
    Van Dai, Nguyen
    Tuan, Han Anh
    Van Duc, Do
    Hoa, Pham Thi Thanh
    Van Duy, Nguyen
    Ton, Vu Dinh
    Alarcon, Pablo
    PREVENTIVE VETERINARY MEDICINE, 2023, 214