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Souza, E.M. de, Sodré, D. , Noma, I.H.Y. , Tanoshi, C.A. e Pedroso, R.B. 2022. Trend change estimation for interrupted time series with heteroscedastic and autocorrelated errors: application in syphilis occurrences in Brazil. Acta Scientiarum. Technology. 44, 1 (maio 2022), e59513. DOI:https://doi.org/10.4025/actascitechnol.v44i1.59513.