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. 2024 Oct 23;12:1456043. doi: 10.3389/fpubh.2024.1456043

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Copyright © 2024 Borges, Musah, Dutra, Tunali, Lima, Tunali, da Silva, Aldosery, Moreno, dos Santos, Massoni, Yenigün, Kostkova, da Rocha, Campos and Ambrizzi.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Regression analysis forecasts and results of monthly dengue cases for Recife from 2001 to 2019. (a) Simulation 1 considering as independent variables insolation, precipitation, temperature, days of precipitation, pressure and relative humidity. (b) Simulation 2 considering the same variables as the previous round with the addition of the percentage of DENV-1, DENV-2, DENV-3, and DENV-4 serotypes; (c) Taylor diagram of the time series generated from simulations 1 and 2 compared with observed data.