Análise da distribuição espaço-temporal de dengue e da infestação larvária no município de Tupã, Estado de São Paulo

Barbosa, Gerson Laurindo; Lourenço, Roberto Wágner

doi:10.1590/s0037-86822010000200008

Cited by 33 publications

(31 citation statements)

References 19 publications

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“…Larval density and the number of dengue cases increased during the first four months of each year (period of high rainfall levels) and decreased between June and September (lower rainfall levels). These results were also found in studies conducted in São José do Rio Preto (SP) 23 , Maranhão (MA) 24 , Vila das Pedrinhas (SP) 25 and Tupã (SP) 32 .…”

Section: Rainfallsupporting

confidence: 74%

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

Viana

Ignotti

2013

Rev. bras. epidemiol.

116

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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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Section: Rainfallsupporting

confidence: 74%

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

Viana

Ignotti

2013

Rev. bras. epidemiol.

116

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“…If the biology of Ae. aegypti and the dengue virus, and the time taken until positive cases are registered in the information system is used to justify the period association with time lag 11,13,14 , then the results suggested that there was a higher positive correlation between BII and dengue fever when there was a two month time lag. This result agrees with Barbosa & Lourenço 14 , who concluded that the larval indicator shows the presence of adult mosquitoes in the municipality, although it is not the best indicator for measuring the risk of dengue occurrence.…”

Section: Continuementioning

confidence: 99%

Building Infestation Index for Aedes aegypti and occurrence of dengue fever in the municipality of Foz do Iguaçu, Paraná, Brazil, from 2001 to 2016

Rivas¹,

Defante²,

Delai

et al. 2018

Rev. Soc. Bras. Med. Trop.

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“…No que tange a estudos sobre a dengue, Flauzino et al 37 verificou que os setores censitários mostram heterogeneidade espacial em relação às condições de vida, que, dentro de alguns setores, há diferenciais na distribuição espacial e temporal do risco de ocorrência da dengue e que a parcela economicamente ativa foi a mais atingida na área de estudo. A identificação dos locais que albergaram aglomerados de casos de dengue e sua caracterização demográfica e socioeconômica fornecem informações relevantes acerca do comportamento espacial dessa enfermidade, especialmente em ambientes urbanos diversos 38,39 . Estudo de revisão realizado por Flausino et al com propósito de avaliar o comportamento da doença identificou que, pelo fato de a dengue estar relacionada às características ecológicas do ambiente, os estudos devem utilizar não somente a geotecnologia (agregados de unidades espaciais), mas também associar esse recurso às características ambientais locais e a indicadores sociodemográficos para ampliar o entendimento da epidemia da dengue 37 .…”

Section: Aplicação Do Geoprocessamento Na Saúdeunclassified

Geoprocessamento em Saúde Pública: fundamentos e aplicações

Nardi

Paschoal

Pedro

et al. 2013

Rev. Inst. Adolfo Lutz

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RESUMONeste trabalho foi averiguado o uso do geoprocessamento como ferramenta para realizar pesquisa e como subsídio para efetuar planejamento de ações em saúde pública. Diversos investigadores têm citado a construção de sistema de vigilância da saúde orientado por um modelo de análise de situações de risco, em substituição ao modelo de risco individual. Esta alternativa, que utiliza o espaço como referência, tem potencialmente mostrado maior poder explicativo por expressar diferentes acessos aos bens e aos serviços de infraestrutura urbana. Com o sistema de geoprocessamento, torna-se possível observar os fatores socioeconômicos, assim como a utilização e as formas de ocupação de áreas. Além disso, podem ser obtidos dados relevantes para efetuar o controle da vigilância em relação à saúde e ao meio ambiente construído e habitado. O uso do geoprocessamento constitui uma importante ferramenta para realizar a identificação, a localização e o acompanhamento de populações, principalmente nas periferias dos grandes centros urbanos. Este sistema contribui, ainda, para desenvolver os estudos de transmissão, de disseminação e, ainda, das ações de controle das doenças e dos agravos de saúde de uma determinada área de abrangência. Palavras-chave. saúde pública, distribuição espacial da população, vigilância epidemiológica, epidemiologia, geoprocessamento em saúde. ABSTRACTIn the present study is described the importance of the geographic information system (GIS) as a tool for performing research and as a subsidy for action planning in public health. Many investigators have described the construction of a health surveillance system based on a model to analyze the risk situations, aiming at replacing the individual risk model. This option employs the space as a reference, which potentially holds greater explanatory power for expressing different approaches to the profits and services for urban infrastructure. The geo-processing allows to observe the socioeconomic factors, the ways and the use of occupying the inhabited areas, to acquire relevant data for monitoring the sanitary surveillance, and also built and inhabited environment. The geo-processing works as an important tool for performing the identification, location and follow-up of populations. Therefore, the geo-processing contributes to the study on transmission, distribution and actions directed to the diseases and health problems control in a given scope area.

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Análise da distribuição espaço-temporal de dengue e da infestação larvária no município de Tupã, Estado de São Paulo

Cited by 33 publications

References 19 publications

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

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

Building Infestation Index for Aedes aegypti and occurrence of dengue fever in the municipality of Foz do Iguaçu, Paraná, Brazil, from 2001 to 2016

Geoprocessamento em Saúde Pública: fundamentos e aplicações

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