Evidence map›Paper›PMID 36011755›Full record

ArticleInternational journal of environmental research and public health2022

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, Richard E Paul

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Bertrand LefebvreFrench Institute of Pondicherry, UMIFRE 21 CNRS-MEAE, Pondicherry 605001, India.ORCID 0000-0002-1463-4632
Rojina KarkiCNRS, ARENES-UMR 6051, EHESP, Université de Rennes, 35000 Rennes, France.
Renaud MisslinINRAE, 68000 Colmar, France.ORCID 0000-0001-7735-4198
Kanchana NakhapakornFaculty of Environment and Resource Studies, Mahidol University, Salaya, Nakhon Pathom 73170, Thailand.
Eric DaudéCNRS, UMR 6266 IDEES, 7 rue Thomas Becket, 76821 Rouen, France.ORCID 0000-0001-8656-3346
Richard E PaulInstitut Pasteur, Université de Paris, CNRS, UMR 2000, Unité de Génétique Fonctionnelle des Maladies Infectieuses, 75015 Paris, France.ORCID 0000-0002-0665-5089

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DengueAnimalsCitiesEconomic FactorsHumansMaleRisk FactorsSocioeconomic FactorsThailandBangkokdenguemobilitysocio-economic riskspatial clusterstransport system

Identifiers

PMID36011755
PMCPMC9408777

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.