Dissertação

Análise epidemiologica espacial, temporal e suas relações com as variáveis ambientais sobre a incidência da malária no período de 2003 a 2009 em 4 municípios do estado do Amazonas, Brasil

The objective this work to conduct an epidemiological analysis of spatial, temporal and statistics on the incidence of malaria in four municipalities of Amazonas state: Coari Codajás, Manacapuru and Manaus. The study focuses on the relationship of malaria with environmental variables such as tempera...

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Autor principal: Couto, Bruna Raquel Wolfarth
Grau: Dissertação
Idioma: por
Publicado em: Instituto Nacional de Pesquisas da Amazônia - INPA 2020
Assuntos:
Acesso em linha: https://repositorio.inpa.gov.br/handle/1/12607
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4717208D5
Resumo:
The objective this work to conduct an epidemiological analysis of spatial, temporal and statistics on the incidence of malaria in four municipalities of Amazonas state: Coari Codajás, Manacapuru and Manaus. The study focuses on the relationship of malaria with environmental variables such as temperature, rainfall, water level and repiquete in order to identify significant relationships to increase or decrease in malaria cases.We used a series of seven years (2003-2009) of data for study. Applied in statistical analysis Spearman correlation to examine the relationship between environmental variables and malaria cases. Epidemiological evidence of malaria exhibit a heterogeneous distribution among municipalities and vary over the years into high and low transmission, even in years influenced by weather events. The municipalities that had higher risk of acquiring malaria were Manacapuru and Coari, respectively. Was observe an increased reporting of cases of disease during the dry season, mainly from the month of august, with records concentrated in the dry season rainfall. Seasonal peaks of malaria in the municipality of Coari, Codajás Manacapuru presents a average of 1 to 2 months before the annual maximum temperature, and Manaus to an average of 2 to 3 months before the annual maximum temperature. The number of malaria cases display their seasonal peaks in an average of 1 to 2 months after the floods of rivers. In hydrological data is observed hydrologic phenomena known as repiquete. The total duration of repiquete can vary from 9 to 56 days. There repiquetes less than 30 days, equal or more than 30 days and less than 60 days. Assumed that repiquetes with duration greater than 30 days bearing in anomalous cases of malaria. Supposedly there's only occurrence of anomalous peaks from malaria ranging repiquete more than 20 days (time between maximum level repiquete to the minimum level of repiquete). The anomalous peak of malaria is presented, on average, 1 to 1,5 months after the repiquete. The statistical results show a statistically significant correlation between malaria cases and the temperature, rainfall, water level. Positive correlations between the monthly temperature and malaria cases with p values between 0.0008 to 0.05. Negative correlations between rainfall and malaria cases with p values between <0.0001 to 0.05. Positive correlations between water level and malaria cases with p values between 0.0003 to 0.04. Of all the variables studied, the temperature seems to be the weakest influence on malaria, and precipitation the most important factor, especially for the municipality of Coari. The water level also has important influence on the cases of malaria as evidenced in Manacapuru. Each municipality has its particularity and preference as to the relationship between environmental variables and malaria, as observed for Coari and Manacapuru. Actions to control malaria should be differentiated and shaped according to the requirement of each endemic municipality.