Disentangling associations between vegetation greenness and dengue in a Latin American city: Findings and challenges

Cunha, Maria da Consolação Magalhães; Ju, Yan; Morais, Maria Helena Franco; Dronova, Iryna; Ribeiro, Sérvio Pontes; Bruhn, Fábio Raphael Pascoti; Lima, Larissa Lopes; Sales, Denise Marques; Schultes, Olivia; Rodrı́guez, Daniel A.; Caiaffa, Waleska Teixeira

doi:10.1016/j.landurbplan.2021.104255

Cited by 12 publications

(5 citation statements)

References 68 publications

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“…Our study found a negative association between vegetation factors and dengue incidence rates in general ( Figure 1 (A3–B3) and Figure 2 (A3–B3)). Vegetation factors included NDVI, which is a measure of vegetation that combines the impact of vegetation quantity, including its coverage and biomass, and quality [ 30 ], as well as total vegetation area, forest cover, managed vegetation cover, and grass cover. The negative association between vegetation cover and dengue transmission is consistent with previous studies [ 31 , 32 ] that have shown that variables such as farm, forest, and grassland have significant negative correlations with dengue transmission and can provide a protective barrier against Ae.…”

Section: Discussionmentioning

confidence: 99%

Associations between Dengue Incidence, Ecological Factors, and Anthropogenic Factors in Singapore

Tewari,

Guo,

Dickens

et al. 2023

Viruses

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Singapore experiences endemic dengue. Vector control remains the primary means to reduce transmission due to the lack of available therapeutics. Resource limitations mean that vector-control tools need to be optimized, which can be achieved by studying risk factors related to disease transmission. We developed a statistical modelling framework which can account for a high-resolution and high-dimensional set of covariates to delineate spatio-temporal characteristics that are associated with dengue transmission from 2014 to 2020 in Singapore. We applied the proposed framework to two distinct datasets, stratified based on the primary type of housing within each spatial unit. Generalized additive models reveal non-linear exposure responses between a large range of ecological and anthropogenic factors as well as dengue incidence rates. At values below their mean, lesser mean total daily rainfall (Incidence rate ratio (IRR): 3.75, 95% CI: 1.00–14.05, Mean: 4.40 mm), decreased mean windspeed (IRR: 3.65, 95% CI: 1.87–7.10, Mean: 4.53 km/h), and lower building heights (IRR: 2.62, 95% CI: 1.44–4.77, Mean: 6.5 m) displayed positive associations, while higher than average annual NO2 concentrations (IRR: 0.35, 95% CI: 0.18–0.66, Mean: 13.8 ppb) were estimated to be negatively associated with dengue incidence rates. Our study provides an understanding of associations between ecological and anthropogenic characteristics with dengue transmission. These findings help us understand high-risk areas of dengue transmission, and allows for land-use planning and formulation of vector control policies.

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Section: Discussionmentioning

confidence: 99%

Associations between Dengue Incidence, Ecological Factors, and Anthropogenic Factors in Singapore

Tewari,

Guo,

Dickens

et al. 2023

Viruses

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“…Colocam ainda que os mosquitos urbanos que preferem recipientes artificiais de água para oviposição; e foi encontrado uma relação positiva em ambientes de telhado de amianto e solo exposto (que os mosquitos preferem habitar). No estudo realizado por Cunha et al, (2021b) a associação dengue-verde foi modificada por fatores socioeconômicos, sendo encontrada uma associação positiva entre casos de dengue e vegetação em localidades com maior vulnerabilidade socioeconômica, e uma associação negativa em regiões com menor vulnerabilidade social, o que pode ser confirmado neste estudo.…”

Section: Resultsunclassified

Avaliação da precisão da classificação de cobertura do solo na identificação de áreas potenciais para o aparecimento de criadouros de Aedes aegypt

Ribeiro Rios,

Weyll SantAnna,

Quintanilha

et al. 2024

Rev. Bras. Geog.

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Uma ferramenta bastante utilizada atualmente é a classificação de cobertura do solo, em vários campos da ciência. Com o avanço das técnicas de sensoriamento remoto, pode-se utilizar resoluções melhores de imagens, e com isso a acurácia da classificação melhora. Este trabalho utiliza imagens do satélite World-View 3 para a classificação supervisionada de dois bairros da cidade de Campinas, São Paulo. As classes foram divididas em Árvore, Grama, Asfalto, Sombra, Cimento, Piscina/Água, Solo exposto e Telhados 1, 2 e 3. Foram averiguadas a matriz de erro, o coeficiente Kappa e a acurácia sob três diferentes algoritmos: Mínima Distância, Máxima Verossimilhança e Random Forest. De forma geral, o algoritmo de destaque foi o de Máxima Verossimilhança, tendo acurácias gerais maiores que 90%.

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“…In recent years, a rise in global temperature has been observed, mainly caused by the increase in the emission of gases that produce the greenhouse effect, along with an rampant deforestation in different ecosystems [46,47]. In Belo Horizonte, natural and preserved green areas protect socioeconomically vulnerable communities against the occurrence of dengue fever [13].…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, anthropogenic factors such as deforestation and poor sanitarian conditions also favors the population dynamics of this arbovirus. Aedes aegypti is uncapable to invade native forests, and in cities it adapted to lay eggs and develop in any small pots, taking advantage of garbage and urban untreated trashes [11][12][13]. For instance, Cunha et al [12] identified that preserved native forests close to neighborhoods under great socio-economic vulnerability in a large Brazilian city, functioned as a barrier against the occurrence of dengue.…”

Section: Introductionmentioning

confidence: 99%

Impact of Climate on the Expansion of Dengue Fever in an Endemic Urban Area

Cruz,

Ribeiro,

Duarte

et al. 2023

Preprint

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Dengue is one of the most important arboviruses worldwide, with currently approximately 2.5 billion people at risk of becoming infected, mainly in tropical countries. The present study evaluated the influence of climatic variables on the incidence of dengue fever in an endemic urban area. A time series study of cases was carried out with all confirmed cases of dengue fever in the municipality of Belo Horizonte from 2001 to 2021. The climatic explanatory variables were obtained from the National Institute of Meteorology. The analysis was performed using a generalized linear regression model with three scenarios: a no-lag model, 1-month lag model (1 month earlier) and 2-month lag model (2 months earlier). In the no-lag model, the maximum temperature was associated with an increase in the monthly incidence of dengue (IRR: 1.5). In the 1- and 2-month lag models, the monthly average temperature was associated with an increase in incidence (IRR: 1.9 in both). Our results suggest that temperature contributed to the increase in the incidence of dengue, and an increase of 1 °C could increase the incidence of the disease by approximately 90%. Thus, temperature monitoring can direct efforts towards prevention and control of the disease.

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Disentangling associations between vegetation greenness and dengue in a Latin American city: Findings and challenges

Cited by 12 publications

References 68 publications

Associations between Dengue Incidence, Ecological Factors, and Anthropogenic Factors in Singapore

Associations between Dengue Incidence, Ecological Factors, and Anthropogenic Factors in Singapore

Avaliação da precisão da classificação de cobertura do solo na identificação de áreas potenciais para o aparecimento de criadouros de Aedes aegypt

Impact of Climate on the Expansion of Dengue Fever in an Endemic Urban Area

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