Modelagem geoestatística dos casos de dengue e da variação termopluviométrica em João Pessoa, Brasil

Silva, Alexandro Medeiros; Silva, Richarde Marques da; Almeida, Caio Américo Pereira de; Chaves, José Jeferson da Silva

doi:10.1590/1982-451320150111

Cited by 23 publications

(16 citation statements)

References 15 publications

(5 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Os resultados indicam que, em Porto Alegre, RS, a precipitação não influencia significativamente o número de fêmeas coletadas (p = 0,3505). A relação da precipitação com o número de fêmeas é bem clara em regiões do país onde as estações climáticas não são bem definidas, por exemplo, estudos apontam associação entre os casos de dengue com a precipitação em unidades geográficas da Paraíba (Silva et. al., 2015, Almeida e Silva, 2017.…”

Section: Resultsunclassified

Aspectos da paisagem e fatores socioeconômicos nos casos de dengue na cidade de Porto Alegre, RS (Landscape aspects and socioeconomic factors in the cases of Dengue in the city of Porto Alegre, RS)

Penso-Campos¹,

Fraga²,

Caldas³

et al. 2018

Rev. Bras. Geog. Fis.

View full text Add to dashboard Cite

A dengue é uma doença causada por um arbovírus transmitido pelo mosquito Aedes aegypti. Nas áreas urbanas, a falta de planejamento ambiental e a desigualdade das condições socioeconômicas favoreceram o aumento dos casos da doença, mesmo em locais com clima mais variável, como o sul do Brasil. Em 2001, houve a introdução de A. aegypti na cidade de Porto Alegre, RS. Objetivou-se correlacionar casos de dengue autóctones com variáveis socioeconômicas e ambientais em Porto Alegre. No período de janeiro a julho de 2013 monitoraram-se 712 armadilhas para mosquitos adultos, em 22 bairros da cidade. Para análise de variáveis ambientais, recorreu-se aos dados de cobertura e uso do solo para cada bairro amostrado, conforme as seguintes classes: cobertura vegetal (árvores, arbustos e herbáceos), água e uso humano (outros usos). Utilizaram-se como variáveis, a cobertura e uso do solo, precipitação, temperatura, renda média e a densidade populacional por bairro. Aplicou-se a análise de regressão múltipla para avaliar a importância de cada fator em relação ao número de fêmea e casos relatados. Os resultados indicam que a precipitação não influenciou significativamente o número de fêmeas coletadas, mas a temperatura tem uma relação significativa. O número de fêmeas coletadas eleva-se com o aumento da temperatura. A análise de regressão múltipla indica que a variável dependente (número de casos) foi significativamente influenciada pelo número de fêmeas (p = 0,0420), a cobertura vegetal (p = 0,0005) e o uso antrópico (p = 0,0003). Palavras-chave: Cobertura e uso da terra; ArcGis; geoprocessamento; processamento de imagens; vigilância ambiental em saúde.

show abstract

Section: Resultsunclassified

Aspectos da paisagem e fatores socioeconômicos nos casos de dengue na cidade de Porto Alegre, RS (Landscape aspects and socioeconomic factors in the cases of Dengue in the city of Porto Alegre, RS)

Penso-Campos¹,

Fraga²,

Caldas³

et al. 2018

Rev. Bras. Geog. Fis.

View full text Add to dashboard Cite

show abstract

“…The relationship between the levels of this variable and dengue cases changes according to the place of study. In Boa Vista, RO, the correlation between the number of reported cases and the meteorological variables was not found, presenting a different pattern each year, highlighting the existence of case peaks in both the rainy and dry periods [21], in João Pessoa, PB, between 2007 and 2011, there was a greater number of records in the period in which there are higher precipitation values, corresponding to 85% of the notified cases [73], as well as, between 2007 and 2012, in Recife, PE, 1,844 cases of dengue were confirmed correlated to a pluviometric accumulation [74].…”

Section: Societal Response and Human Factormentioning

confidence: 93%

Impact of Climate Change on Human Infectious Diseases: Dengue

Souza

Abreu

Júnior

2021

Braz. arch. biol. technol.

View full text Add to dashboard Cite

Climate is considered an important factor in the temporal and spatial distribution of vector-borne diseases. Dengue transmission involves many factors: although it is not yet fully understood, climate is a critical factor as it facilitates risk analysis of epidemics. This study analyzed the effect of seasonal factors and the relationship between climate variables and dengue risk in the municipality of Campo Grande, from 2008 to 2018. Generalized linear models with negative binomial and Poisson distribution were used. The most appropriate model was the one with "minimum temperature" and "precipitation", both lagged by one month, controlled by "year". In this model, a 1°C rise in the minimum temperature of one month led to an increase in dengue cases the following month, while a 10 mm increase in precipitation led to an increase in dengue cases the following month.

show abstract

“…Some research in Brazil has shown the humidity variable as being relevant for the development of the denguecarrying mosquito and the incidence in the number of cases of the disease (Custódio et al, 2019;Correia, 2017;Degener et al, 2014;Silva et al, 2015). The degree of correlation of the NCPPDS and RHCA showed in Tab.4 reveals humidity as the variable with the greatest direct association with dengue, followed by precipitation, both showed a strong degree of relationship with each other since rainier days tend to be wetter.…”

Section: Bivariate Correlation Between Ncppds and Climate Variablesmentioning

confidence: 94%

Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil

Morais

Farias

2021

RSD

View full text Add to dashboard Cite

Dengue is a worldwide public health problem; studies show a correlation between dengue and climatic variables. Thus, this research aimed to investigate the correlation of the number of cases of patients with primary dengue symptoms (NCPPDS) with the compensated average temperature (TCA), average precipitation (PA) and compensated average relative humidity (RHCA) for the state of Ceará (2013-2018), in addition to identifying the municipalities most affected by the disease. For this analysis, institutional databases were collected and the data were compiled and processed through Statistical Package for the Social Science software. The association between climatic variables and NCPPDS was made using Pearson's correlation. It was noted that the city of Fortaleza was the municipality most affected by the disease, followed by its metropolitan region. Pearson's correlation was significant and inversely proportional between the NCPPDS and TCA in the years studied. In the NCPPDS analysis and PA, a directly proportional significant correlation was observed in the years 2013, 2017 and 2018. Regarding RHCA during the years 2013, 2015, 2017 and 2018, a directly proportional significant correlation to dengue cases was also observed. These results showed that precipitation and humidity directly influenced the number of dengue cases in the state of Ceará, and in accordance with studies in other Brazilian regions, these findings represent a general picture for dengue spreading.

show abstract

Modelagem geoestatística dos casos de dengue e da variação termopluviométrica em João Pessoa, Brasil

Cited by 23 publications

References 15 publications

Aspectos da paisagem e fatores socioeconômicos nos casos de dengue na cidade de Porto Alegre, RS (Landscape aspects and socioeconomic factors in the cases of Dengue in the city of Porto Alegre, RS)

Aspectos da paisagem e fatores socioeconômicos nos casos de dengue na cidade de Porto Alegre, RS (Landscape aspects and socioeconomic factors in the cases of Dengue in the city of Porto Alegre, RS)

Impact of Climate Change on Human Infectious Diseases: Dengue

Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil

Contact Info

Product

Resources

About