Temporal trend in the incidence of tuberculosis-HIV coinfection in Brazil, by macro-region, Federative Unit, sex and age group, 2010-2021
ABSTRACT Objective To analyze the temporal trend in the incidence of tuberculosis-HIV coinfection in Brazil, by macro-region, Federative Unit, sex and age group, from 2010 to 2021. Methods: This was a time series study using surveillance data to estimate average annual percentage changes (AAPC), a...
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| Format: | Article |
| Language: | English |
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Ministério da Saúde do Brasil
2024-02-01
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| Series: | Epidemiologia e Serviços de Saúde |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2237-96222024000100205&lng=en&tlng=en |
| _version_ | 1827346679500636160 |
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| author | Lucas Vinícius de Lima Gabriel Pavinati Rosana Rosseto de Oliveira Rodrigo de Macedo Couto Kleydson Bonfim Andrade Alves Gabriela Tavares Magnabosco |
| author_facet | Lucas Vinícius de Lima Gabriel Pavinati Rosana Rosseto de Oliveira Rodrigo de Macedo Couto Kleydson Bonfim Andrade Alves Gabriela Tavares Magnabosco |
| author_sort | Lucas Vinícius de Lima |
| collection | DOAJ |
| description | ABSTRACT Objective To analyze the temporal trend in the incidence of tuberculosis-HIV coinfection in Brazil, by macro-region, Federative Unit, sex and age group, from 2010 to 2021. Methods: This was a time series study using surveillance data to estimate average annual percentage changes (AAPC), and 95% confidence intervals (95%CI) via joinpoint regression. Results: 122,211 cases of tuberculosis-HIV coinfection were analyzed; a falling trend was identified for Brazil as a whole (AAPC = -4.3; 95%CI -5.1;-3.7), and in the country’s Southern (AAPC = -6.2; 95%CI -6.9;-5.5) and Southeast (AAPC = -4.6; 95%CI -5.6;-3.8) regions, even more so during the COVID-19 pandemic (2020-2021); the greatest falling trend was seen in Santa Catarina (AAPC = -9.3; 95%CI -10.1;-8.5), while the greatest rising trend was found in Tocantins (AAPC = 4.1; 95%CI 0.1;8.6); there was a rising trend among males, especially in Sergipe (AAPC = 3.9; 95%CI 0.4;7.9), and those aged 18 to 34 years, especially in Amapá (AAPC = 7.9; 95%CI 5.1;11.5). Conclusion The burden and trends of tuberculosis-HIV coinfection were geographically and demographically disparate. |
| first_indexed | 2024-03-07T23:35:08Z |
| format | Article |
| id | doaj.art-1d5c96f263914f1c92702b3ec05882d6 |
| institution | Directory Open Access Journal |
| issn | 2237-9622 |
| language | English |
| last_indexed | 2024-03-07T23:35:08Z |
| publishDate | 2024-02-01 |
| publisher | Ministério da Saúde do Brasil |
| record_format | Article |
| series | Epidemiologia e Serviços de Saúde |
| spelling | doaj.art-1d5c96f263914f1c92702b3ec05882d62024-02-20T07:40:34ZengMinistério da Saúde do BrasilEpidemiologia e Serviços de Saúde2237-96222024-02-013310.1590/s2237-96222024v33e2023522.enTemporal trend in the incidence of tuberculosis-HIV coinfection in Brazil, by macro-region, Federative Unit, sex and age group, 2010-2021Lucas Vinícius de Limahttps://orcid.org/0000-0002-9582-9641Gabriel Pavinatihttps://orcid.org/0000-0002-0289-8219Rosana Rosseto de Oliveirahttps://orcid.org/0000-0003-3373-1654Rodrigo de Macedo Coutohttps://orcid.org/0000-0003-2598-5830Kleydson Bonfim Andrade Alveshttps://orcid.org/0000-0002-0905-3358Gabriela Tavares Magnaboscohttps://orcid.org/0000-0003-3318-6748ABSTRACT Objective To analyze the temporal trend in the incidence of tuberculosis-HIV coinfection in Brazil, by macro-region, Federative Unit, sex and age group, from 2010 to 2021. Methods: This was a time series study using surveillance data to estimate average annual percentage changes (AAPC), and 95% confidence intervals (95%CI) via joinpoint regression. Results: 122,211 cases of tuberculosis-HIV coinfection were analyzed; a falling trend was identified for Brazil as a whole (AAPC = -4.3; 95%CI -5.1;-3.7), and in the country’s Southern (AAPC = -6.2; 95%CI -6.9;-5.5) and Southeast (AAPC = -4.6; 95%CI -5.6;-3.8) regions, even more so during the COVID-19 pandemic (2020-2021); the greatest falling trend was seen in Santa Catarina (AAPC = -9.3; 95%CI -10.1;-8.5), while the greatest rising trend was found in Tocantins (AAPC = 4.1; 95%CI 0.1;8.6); there was a rising trend among males, especially in Sergipe (AAPC = 3.9; 95%CI 0.4;7.9), and those aged 18 to 34 years, especially in Amapá (AAPC = 7.9; 95%CI 5.1;11.5). Conclusion The burden and trends of tuberculosis-HIV coinfection were geographically and demographically disparate.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2237-96222024000100205&lng=en&tlng=enHIVTuberculosisCoinfectionTime Series StudiesRegression Analysis |
| spellingShingle | Lucas Vinícius de Lima Gabriel Pavinati Rosana Rosseto de Oliveira Rodrigo de Macedo Couto Kleydson Bonfim Andrade Alves Gabriela Tavares Magnabosco Temporal trend in the incidence of tuberculosis-HIV coinfection in Brazil, by macro-region, Federative Unit, sex and age group, 2010-2021 Epidemiologia e Serviços de Saúde HIV Tuberculosis Coinfection Time Series Studies Regression Analysis |
| title | Temporal trend in the incidence of tuberculosis-HIV coinfection in Brazil, by macro-region, Federative Unit, sex and age group, 2010-2021 |
| title_full | Temporal trend in the incidence of tuberculosis-HIV coinfection in Brazil, by macro-region, Federative Unit, sex and age group, 2010-2021 |
| title_fullStr | Temporal trend in the incidence of tuberculosis-HIV coinfection in Brazil, by macro-region, Federative Unit, sex and age group, 2010-2021 |
| title_full_unstemmed | Temporal trend in the incidence of tuberculosis-HIV coinfection in Brazil, by macro-region, Federative Unit, sex and age group, 2010-2021 |
| title_short | Temporal trend in the incidence of tuberculosis-HIV coinfection in Brazil, by macro-region, Federative Unit, sex and age group, 2010-2021 |
| title_sort | temporal trend in the incidence of tuberculosis hiv coinfection in brazil by macro region federative unit sex and age group 2010 2021 |
| topic | HIV Tuberculosis Coinfection Time Series Studies Regression Analysis |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2237-96222024000100205&lng=en&tlng=en |
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