Spatial analysis and factors associated with leptospirosis in Santa Catarina, Brazil, 2001-2015. 2020

Ana Elisa Pereira Silva, and Gleice Margarete de Souza Conceição, and Francisco Chiaravalloti Neto
Universidade de São Paulo, Faculdade de Saúde Pública, Departamento de Epidemiologia, São Paulo, SP, Brasil.

BACKGROUND Leptospirosis is an endemic disease in Brazil that can become an epidemic during the rainy season resulting from floods in areas susceptible to natural disasters. These areas are widespread in Santa Catarina, particularly in the coastal region. Therefore, the objective of this study was to identify environmental, climatic, and demographic factors associated with the incidence of leptospirosis in the municipalities of Santa Catarina from 2001 to 2015, taking into account possible spatial dependence. METHODS This was an ecological study aggregated by municipality. To evaluate the association between the incidence of leptospirosis and the factors under study (temperature, altitude, occurrence of natural disasters, etc.) while taking into account spatial dependence, linear regression models and models with global spatial error were used. RESULTS Lower altitudes, higher temperatures, and areas of natural disaster risk in the municipality contributed the most to explaining the variability in the incidence rate. After taking spatial dependence into account, only the minimum altitude variable remained significant. The regions of lower altitude, where the highest rates of leptospirosis were recorded, corresponded to the eastern portion of the state near the coastal region, where floods, urban floods, and overflows are common occurrences. No associations were found concerning demographic factors. CONCLUSIONS The incidence of leptospirosis in Santa Catarina was associated with environmental factors, particularly low altitude, even when considering the spatial dependence structure present in the data. The spatial error model allowed for adequate modeling of spatial autocorrelation.

UI MeSH Term Description Entries
D007922 Leptospirosis Infections with bacteria of the genus LEPTOSPIRA. Cane-Cutter Fever,Canicola Fever,Leptospira Canicola Infection,Leptospira Infection,Leptospirosis Canicola,Mud Fever,Rice-Field Fever,Stuttgart Disease,Swineherd's Disease,Cane Cutter Fever,Fever, Canicola,Fever, Mud,Fever, Rice-Field,Fevers, Cane-Cutter,Infection, Leptospira,Infection, Leptospira Canicola,Infections, Leptospira,Infections, Leptospira Canicola,Leptospira Canicola Infections,Leptospira Infections,Leptospiroses,Leptospirosis Canicolas,Rice Field Fever,Swineherd's Diseases
D001938 Brazil A country located on the eastern coast of South America, located between Colombia and Peru, that borders the Atlantic Ocean. It is bordered on the north by Venezuela, Guyana, Suriname, and French Guiana, on the south by Uruguay, and on the west by Argentina. The capital is Brasilia.
D004777 Environment The external elements and conditions which surround, influence, and affect the life and development of an organism or population. Environmental Impact,Environmental Impacts,Impact, Environmental,Impacts, Environmental,Environments
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D015994 Incidence The number of new cases of a given disease during a given period in a specified population. It also is used for the rate at which new events occur in a defined population. It is differentiated from PREVALENCE, which refers to all cases in the population at a given time. Attack Rate,Cumulative Incidence,Incidence Proportion,Incidence Rate,Person-time Rate,Secondary Attack Rate,Attack Rate, Secondary,Attack Rates,Cumulative Incidences,Incidence Proportions,Incidence Rates,Incidence, Cumulative,Incidences,Person time Rate,Person-time Rates,Proportion, Incidence,Rate, Attack,Rate, Incidence,Rate, Person-time,Rate, Secondary Attack,Secondary Attack Rates
D062206 Spatial Analysis Investigative techniques which measure the topological, geometric, and or geographic properties of the entities studied. Kernel Density Estimation,Kriging,Spacial Analysis,Spatial Autocorrelation,Spatial Dependency,Spatial Interpolation,Analyses, Spacial,Analyses, Spatial,Analysis, Spacial,Analysis, Spatial,Autocorrelation, Spatial,Autocorrelations, Spatial,Density Estimation, Kernel,Density Estimations, Kernel,Dependencies, Spatial,Dependency, Spatial,Estimation, Kernel Density,Estimations, Kernel Density,Interpolation, Spatial,Interpolations, Spatial,Kernel Density Estimations,Krigings,Spacial Analyses,Spatial Analyses,Spatial Autocorrelations,Spatial Dependencies,Spatial Interpolations

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