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

Bertrand Lefebvre (), Rojina Karki, Renaud Misslin, Kanchana Nakhapakorn, Eric Daudé and Richard E. Paul
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Bertrand Lefebvre: French Institute of Pondicherry, UMIFRE 21 CNRS-MEAE, Pondicherry 605001, India
Rojina Karki: CNRS, ARENES—UMR 6051, EHESP, Université de Rennes, 35000 Rennes, France
Renaud Misslin: INRAE, 68000 Colmar, France
Kanchana Nakhapakorn: Faculty of Environment and Resource Studies, Mahidol University, Salaya, Nakhon Pathom 73170, Thailand
Eric Daudé: CNRS, UMR 6266 IDEES, 7 rue Thomas Becket, 76821 Rouen, France
Richard E. Paul: Institut Pasteur, Université de Paris, CNRS, UMR 2000, Unité de Génétique Fonctionnelle des Maladies Infectieuses, 75015 Paris, France

IJERPH, 2022, vol. 19, issue 16, 1-23

Abstract: 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.

Keywords: dengue; socio-economic risk; spatial clusters; mobility; transport system; Bangkok (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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