Geospatial analysis applied to epidemiological studies of dengue: a systematic review

Oliveira, Maria Aparecida de; Ribeiro, Helena; Castillo‐Salgado, Carlos

doi:10.1590/s1415-790x2013000400011

Cited by 20 publications

(23 citation statements)

References 41 publications

(102 reference statements)

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“…The presence and density of the Aedes mosquitoes are addressed through prior knowledge on vector bio-ecology and remotely-sensed environmental data: (i) the classical index NDVI is used as a proxy of the vegetation, and is positively associated to dengue cases in two of the three studies (ids: 10, 42, 50), (ii) urban surface temperature was not significant (id: 42). At larger administrative levels, authors considered the influence of altitude, which is negatively correlated to dengue occurrences (ids: 21,34,44,64). This result illustrates the influence of the temperature gradient on Aedes ecology.…”

Section: Relationships At Administrative Unitsmentioning

confidence: 95%

“…In the case of vectorial diseases, space may be seen as (i) an actor through the numerous spatially-dependent determinants (environmental, socio-economic, climatic) that influence the spread of the pathogen, and (ii) a medium where humans, reservoirs and vector populations interact and allow the circulation of the pathogen [19]. Although most dengue risk factors are likely to exhibit spatial dependence [13,20], few articles have applied spatial analysis methods in dengue studies [21]. Of the 263 articles on dengue outbreaks reviewed in the literature by Guo et al [22] over the 1990-2015 period, around twenty deal with spatialized and environmental risk factors.…”

Section: Introductionmentioning

confidence: 99%

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A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires

Marti

Catry

et al. 2020

Remote Sensing

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To date, there is no effective treatment to cure dengue fever, a mosquito-borne disease which has a major impact on human populations in tropical and sub-tropical regions. Although the characteristics of dengue infection are well known, factors associated with landscape are highly scale dependent in time and space, and therefore difficult to monitor. We propose here a mapping review based on 78 articles that study the relationships between landscape factors and urban dengue cases considering household, neighborhood and administrative levels. Landscape factors were retrieved from survey questionnaires, Geographic Information Systems (GIS), and remote sensing (RS) techniques. We structured these into groups composed of land cover, land use, and housing type and characteristics, as well as subgroups referring to construction material, urban typology, and infrastructure level. We mapped the co-occurrence networks associated with these factors, and analyzed their relevance according to a three-valued interpretation (positive, negative, non significant). From a methodological perspective, coupling RS and GIS techniques with field surveys including entomological observations should be systematically considered, as none digital land use or land cover variables appears to be an univocal determinant of dengue occurrences. Remote sensing urban mapping is however of interest to provide a geographical frame to distribute human population and movement in relation to their activities in the city, and as spatialized input variables for epidemiological and entomological models.

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Section: Relationships At Administrative Unitsmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires

Marti

Catry

et al. 2020

Remote Sensing

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“…Previous studies have used global Moran's I and LISA statistics to test the spatial distribution of dengue transmission (Oliveira, Ribeiro, & Castillo-Salgado, 2013), including in Ecuador , allowing for comparison between studies.…”

Section: Spatial Analysesmentioning

confidence: 99%

The social and spatial ecology of dengue presence and burden during an outbreak in Guayaquil, Ecuador, 2012

Lippi

Stewart-Ibarra

Muñoz

et al. 2017

Preprint

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Highlights• In 2012, Guayaquil, Ecuador had a large outbreak of dengue cases • Dengue case presence and burden exhibited spatial heterogeneity at the census block level • Social-ecological drivers of case presence and burden differed in this outbreak, highlighting the need to model both types of epidemiological data • Access to municipal resources such as garbage collection and piped water had counterintuitive relationships with dengue presence, but poor housing, garbage collection and remittances correlated to dengue burden. • Our findings inform risk mapping and vector control and surveillance allocation, relevant to this and other concurrent emergent epidemics such as chikungunya and zika AbstractDengue fever, a mosquito-borne viral disease, is an ongoing public health problem in Ecuador and throughout the tropics, yet we have a limited understanding of the disease transmission dynamics in these regions. The objective of this study was to characterize the spatial dynamics and social-ecological risk factors associated with a recent dengue outbreak in Guayaquil,Ecuador. We examined georeferenced dengue cases (n = 4,248) and block-level census data variables to identify potential social-ecological variables associated with the presence and burden of dengue fever in Guayaquil in 2012. We applied LISA and Moran's I tests to analyze hotspots of dengue cases and used multimodel selection in R computing language to identify covariates associated with dengue incidence at the census zone level. Significant hotspots of dengue transmission were found near the North Central and Southern portions of Guayaquil. Significant risk factors for presence of dengue included poor housing conditions (e.g., poor condition of ceiling, floors, and walls), access to paved roads, and receipt of remittances. Counterintuitive positive correlations with dengue presence were observed with several municipal services such as garbage collection and access to piped water. Risk factors for the increased burden of dengue included poor housing conditions, garbage collection, receipt of remittances, and sharing a property with more than one household. Social factors such as education and household demographics were negatively correlated with increased dengue burden. Our findings elucidate underlying differences with dengue presence and burden and indicate the potential to develop dengue vulnerability and risk maps to inform disease prevention and control -information that is also relevant for emerging epidemics of chikungunya and zika.

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“…Geographic information systems and a solid laboratory network infrastructure help characterizing and confirming cases (PanAmerican Health Organization 2014b; Hernandez-Avila et Oliveira et al 2013;Badurdeen et al 2013). A successful example of these tools was established in Mexico in 2008.…”

Section: Dengue Situation In the Twenty-first-century Latin America Amentioning

confidence: 99%

Neglected Tropical Diseases - Latin America and the Caribbean

Franco‐Paredes¹,

Santos-Preciado²

2015

Neglected Tropical Diseases

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Geospatial analysis applied to epidemiological studies of dengue: a systematic review

Cited by 20 publications

References 41 publications

A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires

A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires

The social and spatial ecology of dengue presence and burden during an outbreak in Guayaquil, Ecuador, 2012

Neglected Tropical Diseases - Latin America and the Caribbean

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