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Bayesian spatio-temporal modeling of severe acute respiratory syndrome in Brazil: A comparative analysis across pre-, during, and post-COVID-19 eras.

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Title: Bayesian spatio-temporal modeling of severe acute respiratory syndrome in Brazil: A comparative analysis across pre-, during, and post-COVID-19 eras.
Authors: de Souza Bulhões, Rodrigo1,2 rbulhoes@ufba.br, Pimentel, Jonatha Sousa3 jsppimentel9@gmail.com, Rodrigues, Paulo Canas1,4 paulocanas@gmail.com
Source: Infectious Disease Modelling (2468-2152). Jun2025, Vol. 10 Issue 2, p466-476. 11p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Infectious+Disease+Modelling+%282468-2152%29%22">Infectious Disease Modelling (2468-2152)</searchLink>. Jun2025, Vol. 10 Issue 2, p466-476. 11p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.idm.2024.12.010
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      – Code: eng
        Text: English
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      – TitleFull: Bayesian spatio-temporal modeling of severe acute respiratory syndrome in Brazil: A comparative analysis across pre-, during, and post-COVID-19 eras.
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              Text: Jun2025
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