Non-parametric tests and multivariate analysis applied to reported dengue cases in Brazil

Oliveira‐Júnior, José Francisco de; Góis, Givanildo de; Silva, Elania Barros da; Teodoro, Paulo Eduardo; Johann, Jerry Adriani; Silva, Carlos Antônio da

doi:10.1007/s10661-019-7583-0

Cited by 21 publications

(24 citation statements)

References 35 publications

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“…Thus, human population exposure to dengue will increase as temperate weather zones become more receptive to dengue and other vector-borne diseases (Hales, de Wet et al 2002, Sutherst 2004. Dengue outbreaks across the globe have been associated with climate change (Barclay 2008, Williams, Mincham et al 2014, Lowe, Stewartibarra et al 2017, de Oliveira-Junior, Gois et al 2019. Although many studies have examined the association between the risk of dengue epidemics and climate variability, the complex effects of climatic factors on dengue are uncertain.…”

Section: Introductionmentioning

confidence: 99%

Climate factors and the East Asian summer monsoon may drive large outbreaks of dengue in China

Liu¹,

Hou

Ren

et al. 2020

Environmental Research

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Section: Introductionmentioning

confidence: 99%

Climate factors and the East Asian summer monsoon may drive large outbreaks of dengue in China

Liu¹,

Hou

Ren

et al. 2020

Environmental Research

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“…The CA technique was efficient in determining similar clusters in the state of MS, which can benefit the state in terms of public policies and actions to reduce the circulation of the virus and to mitigate the effects of the pandemic in the state. Since the technique was applied in other populous countries and with continental extensions (Holh et al, 2020))17) and even continents (Shariati et al, 2020) (29) with satisfactory results.…”

Section: Resultsmentioning

confidence: 99%

“…The hierarchical method of Ward (Ward, 1963) (28) was used for agglomeration, due to the success of this method in studies that aim to obtain similar groups, mainly in biometeorological and collective health studies (Oliveira Júnior et al, 2019 ; Holh et al, 2020; Shariati et al, 2020)(29, 17, 30).…”

Section: Methodsmentioning

confidence: 99%

Spatio-temporal analysis between the incidence of COVID-19 and human development in Mato Grosso do Sul, Brazil

Souza

Abreu

Oliveira‐Júnior

2021

Preprint

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ObjetiveTo analyze the spatial distribution of the Covid-19 incidence and its correlation with the municipal human development index (IDHM) in the state of Mato Grosso do Sul (MS), Brazil.MethodsThis is an ecological, exploratory and analytical study whose units of analysis were the 79 municipalities that make up the state of MS. Covid-19 incidence coefficients, death numbers, lethality rate, mortality rate and Human Development Index for municipalities (IDHM) in the period from March 2020 to December 31, 2020 were used. spatial correlations between the variables mentioned above.ResultsThe incidence of Covid-19 has spatial dependence with moderate positive correlation and formation of clusters located in the Metropolitan Region of Campo Grande (RMCG) and municipalities in the region.ConclusionThe uneven mapping of Covid-19 and its relationship with IDHM in the Ministry of Health can contribute to actions to address the regional pandemic.

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“…Assim, os gestores públicos falham na implantação de sistemas que possam fornecer a representatividade espaço-temporal da chuva e na disponibilidade de dados em tempo real (Santos et al, 2019). Esses dados podem auxiliar no monitoramento de estiagens prolongadas que nas últimas décadas tem causado crises hídricas frequentes e nas chuvas extremas que dão origem as enchentes, as inundações repentinas, os deslizamentos de terra (Marengo et al, 2018;Terassi et al, 2020), seguido do aumento das doenças de veiculação hídrica, principalmente a dengue e a leptospirose (Oliveira Júnior et al, 2019).…”

Section: Climatology Of Rainfall In Maceió: Climatic and Environmental Aspects Abstractunclassified

Climatologia da Chuva em Maceió: Aspectos Climáticos e Ambientais

Júnior

Souza

et al. 2021

Rev. Bras. Geog. Fis.

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The objectives of the study are: i) to evaluate the climatology of rain in Maceió based on observed data, with emphasis on climatic and environmental aspects and ii) to validate the precipitation product for the municipality. Data from 1979 to 2013 of the precipitation product CHELSA (Climatologies at High Resolution for the Earth's Land Surface Areas) were validated by rainfall data from the National Water Agency (NWA) from 1960 to 2016. Statistical indicators showed a high coefficient of determination and linear correlation between CHELSA and observed data (R2 = 0.80; r = 0.89) and the smallest errors (SEE = 6.58 mm and RMSE = 18.76 mm), therefore the CHELSA product can be applied in the region. The time series presented a period 1 (P1) - (1960 to 1989) with rainfall above the historical average and a period 2 (P2) - (1990 to 2016) with a significant reduction in rainfall. Observed data versus climatological normals showed a significant decrease in normal 1 (1961-1990) in the rainy season, while in relation to normal 2 (1981-2010) there was an increase in the months of February, March and April (between 10 to 20%) and October and December (between 5 to 15%). The spatial distribution of monthly rainfall via the CHELSA product showed the formation of a pluviometric gradient between the coast and the upper part of Maceió. The topography influences the rainfall regime in neighborhoods belonging to the administrative regions (AR) - (R4, R5 and R6) with the highest rainfall records. The ENOS phases are directly responsible for the variability of interannual rain, while the decadal variability corresponded to the PDO phase change and changes in land use and occupation in Maceió.

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Non-parametric tests and multivariate analysis applied to reported dengue cases in Brazil

Cited by 21 publications

References 35 publications

Climate factors and the East Asian summer monsoon may drive large outbreaks of dengue in China

Climate factors and the East Asian summer monsoon may drive large outbreaks of dengue in China

Spatio-temporal analysis between the incidence of COVID-19 and human development in Mato Grosso do Sul, Brazil

Climatologia da Chuva em Maceió: Aspectos Climáticos e Ambientais

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