Associação entre incidência de dengue e variáveis climáticas

Ribeiro, Alberto F.; Marques, Gisela Rita Alvarenga Monteiro; Voltolini, Júlio César; Condino, Maria Lúcia Fadel

doi:10.1590/s0034-89102006000500017

Cited by 108 publications

(127 citation statements)

References 8 publications

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“…4,9,20 Regarding the models' residues, spatial auto-correlation was expected in the linear regression model, as it does not presuppose the adjustment of the spatial dependence among them. However, when the spatial regression model is used, it is possible to note inverse spatial autocorrelation, when it was expected not to fi nd spatial auto-correlation in the residues.…”

Section: Discussionmentioning

confidence: 99%

Análise espacial da dengue e o contexto socioeconômico no município do Rio de Janeiro, RJ

2009

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OBJECTIVE:To analyze the dengue epidemic in relation to the socioeconomic context according to geographical areas. METHODS:An ecological study was conducted in the municipality of Rio de Janeiro (Southeastern Brazil), in areas delimited as neighborhoods, based on information about notifi ed dengue cases concerning residents in the municipality. The average incidence rate of dengue was calculated between the epidemiological weeks: 48 th of 2001 and 20 th of 2002. The occurrence of dengue was correlated with socioeconomic variables through Pearsons' correlation coeffi cient. Moran's global and local indexes were used to assess the spatial auto-correlation between dengue and the variables that signifi cantly correlated with the disease. The multiple linear regression model and the conditional auto-regression spatial model were used to analyze the relationship between dengue and socioeconomic context. RESULTS:The neighborhoods located in the west zone of the municipality presented high rates of average dengue incidence. The variables presenting signifi cant correlation were: percentage of households connected with the general sanitary network, households with washing machines, and population density per urban area. Moran's spatial auto-correlation index revealed spatial dependence between dengue and the selected variables. The utilized models indicated percentage of households connected with the general sanitary network as the sole variable signifi cantly associated with the disease. The residual fi gures in both models revealed signifi cant spatial auto-correlation, with a positive Moran Index (p<0.001) for linear regression model, and a negative one (p=0.005) for the conditional auto-regression one. CONCLUSIONS:Problems related to basic sanitation contribute decisively to increase the risk of the disease.

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Section: Discussionmentioning

confidence: 99%

Análise espacial da dengue e o contexto socioeconômico no município do Rio de Janeiro, RJ

2009

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“…Distribuição mensal da densidade dos ovos de Aedes aegypti, capturados através da armadilha ovitrampa, nas 13 As associações entre os índices de positividade de ovitrampa e os valores mensais dos fatores abióticos foram significativas somente para os valores médios mensais de temperatura mínima, com um valor de coeficiente de correlação de Spearman de 0,626. Não foi detectada associação entre o índice de densidade de ovos e os fatores abióticos mensais.…”

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Monitoramento do mosquito Aedes aegypti (Linnaeus, 1762) (Diptera: Culicidae), por meio de ovitrampas no Campus da Universidade Federal de Mato Grosso, Cuiabá, Estado de Mato Grosso

Miyazaki

Ribeiro

Pignatti

et al. 2009

Rev. Soc. Bras. Med. Trop.

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A dengue é considerada como uma das mais importantes arbovirose que afeta o homem e constitui um sério problema de saúde pública no mundo, especialmente nos países tropicais, onde as condições ambientais principalmente a temperatura, a precipitação, além da umidade relativa, velocidade do vento, Monitoramento do mosquito ABSTRACTTDengue is one of the most important arboviruses affecting man and is a serious health problem in tropical areas where climatic conditions are favorable for occurrences of foci of Aedes aegypti. Oviposition traps with added hay infusion were installed at 19 points on the campus of the Federal University of Mato Grosso with the objective of investigating the monthly levels of infestation with the dengue vector and the influence of abiotic factors. The results obtained were compared with the following monthly abiotic data: temperature, relative air humidity and precipitation; and with the number of days for which the traps remained in the field. Rain was the only abiotic factor that influenced the level of infestation of the dengue vector at this location. There were significant differences between the quantities of Aedes aegypti eggs found at different sites within the same study area. The numbers of eggs found at each site over the year did not follow a single distribution pattern.

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“…The countries located in these regions are more susceptible due to diverse conditioning factors, such as: global changes, climate changes, weather variability, land use, water storage and irrigation, human population growth and urbanization 6 . Such factors, among others, significantly contribute to the proliferation and development of the Aedes aegypti mosquito -the virus vector [7][8][9] . Climate changes contribute to increase the number of people exposed to dengue to more than 2 billion and the projections for 2085 suggest that approximately 5 to 6 billion people (50 to 60% of the world's population) will be at risk regarding the disease transmission 10 .…”

Section: Introductionmentioning

confidence: 99%

“…The seasonal dynamics of the dengue vector is commonly associated with climate changes and fluctuations 9,11 , which include: temperature increase and variations in rainfall and relative air humidity, conditions that favor a higher number of available breeding sites and, consequently, the development of the vector. The latter presents two distinct stages: aquatic, with the development phases of egg, larva and pupa, and terrestrial, which corresponds to the adult mosquito.…”

Section: Introductionmentioning

confidence: 99%

A ocorrência da dengue e variações meteorológicas no Brasil: revisão sistemática

Viana

Ignotti

2013

Rev. bras. epidemiol.

100

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Introduction: Dengue is configures in recent decades as an important cause of morbidity and mortality in Brazil and around the world reaching the tropical and subtropical areas. Objective: To review the scientific literature on the occurrence of dengue in Brazil and its relationship with meteorological variables. Method: A systematic review of studies published in databases (SciELO, PubMed, MEDLINE, Lilacs) using descriptors related to weather variations and dengue fever in Brazil, published between 1991 to 2010. It was selected 31 articles that had the study area nationwide. Results: Most epidemiological studies use ecological design, the studies make use of entomological trapping, are common also series of studies of the disease and spatial analysis. It is evident relationship between dengue incidence with temperature and rainfall, the association is more significant from the second to fourth months of the year. Comparative studies of drought and rain show seasonal behavior of the disease. There are difficulties in establishing unique pattern of seasonality of disease incidence and weather variables for the country. Conclusion: Dengue is strongly related to meteorological variables. The seasonal variation in temperature and rainfall influences the dynamics of the vector and the incidence of the disease throughout the country, regardless of the climate category. The number of cases of classic dengue and of dengue hemorrhagic fever has been increasing on an annual basis. It is estimated that 550 thousand hospitalizations with 20 thousand deaths occur per year among a total of approximately 2.5 billion exposed people 4,5 , and an average of 80 million new cases are reported every year 2 . KeywordsAs a reemerging endemic or pandemic disease, it occurs practically in all the tropical and subtropical regions of the planet 1 . The countries located in these regions are more susceptible due to diverse conditioning factors, such as: global changes, climate changes, weather variability, land use, water storage and irrigation, human population growth and urbanization 6 . Such factors, among others, significantly contribute to the proliferation and development of the Aedes aegypti mosquito -the virus vector 7-9 . Climate changes contribute to increase the number of people exposed to dengue to more than 2 billion and the projections for 2085 suggest that approximately 5 to 6 billion people (50 to 60% of the world's population) will be at risk regarding the disease transmission 10 .The seasonal dynamics of the dengue vector is commonly associated with climate changes and fluctuations 9,11 , which include: temperature increase and variations in rainfall and relative air humidity, conditions that favor a higher number of available breeding sites and, consequently, the development of the vector. The latter presents two distinct stages: aquatic, with the development phases of egg, larva and pupa, and terrestrial, which corresponds to the adult mosquito. Both stages are subject to environmental and climate changes 12,13 ...

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Associação entre incidência de dengue e variáveis climáticas

Cited by 108 publications

References 8 publications

Análise espacial da dengue e o contexto socioeconômico no município do Rio de Janeiro, RJ

Análise espacial da dengue e o contexto socioeconômico no município do Rio de Janeiro, RJ

Monitoramento do mosquito Aedes aegypti (Linnaeus, 1762) (Diptera: Culicidae), por meio de ovitrampas no Campus da Universidade Federal de Mato Grosso, Cuiabá, Estado de Mato Grosso

A ocorrência da dengue e variações meteorológicas no Brasil: revisão sistemática

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