High schistosomiasis-related mortality in Northeast Brazil: trends and spatial patterns
ABSTRACT Background: We analyzed the trends and spatial patterns of schistosomiasis-related mortality in Northeast Brazil in 2000-2019. Methods: A mixed population-based ecological study was conducted, using information on the underlying or associated causes of death. We used Joinpoint regressio...
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Medicina Tropical (SBMT)
2022-06-01
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| Series: | Revista da Sociedade Brasileira de Medicina Tropical |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822022000100316&lng=en&tlng=en |
| _version_ | 1818547242138599424 |
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| author | Bárbara Morgana da Silva Anderson Fuentes Ferreira José Alexandre Menezes da Silva Rebeca Gomes de Amorim Ana Lúcia Coutinho Domingues Marta Cristhiany Cunha Pinheiro Fernando Schemelzer de Moares Bezerra Jorg Heukelbach Alberto Novaes Ramos Jr |
| author_facet | Bárbara Morgana da Silva Anderson Fuentes Ferreira José Alexandre Menezes da Silva Rebeca Gomes de Amorim Ana Lúcia Coutinho Domingues Marta Cristhiany Cunha Pinheiro Fernando Schemelzer de Moares Bezerra Jorg Heukelbach Alberto Novaes Ramos Jr |
| author_sort | Bárbara Morgana da Silva |
| collection | DOAJ |
| description | ABSTRACT Background: We analyzed the trends and spatial patterns of schistosomiasis-related mortality in Northeast Brazil in 2000-2019. Methods: A mixed population-based ecological study was conducted, using information on the underlying or associated causes of death. We used Joinpoint regression analysis to calculate the trends. The spatial analysis included rates, spatial moving averages, and standardized mortality rates. The spatial dependence analysis was based on Getis-Ord's G and Gi* indices (Gi star) and local Moran’s index to check for autocorrelation. Results: A total of 5,814,268 deaths were recorded, of which 9,276 (0.16%) were schistosomiasis-related; 51.0% (n=4,732, adjusted rate 0.90/100,000 inhabitants [95% confidence interval (CI) 0.88-0.93]) were males; 40.0% (n=3,715, adjusted rate 7.40/100.000 inhabitants [95%CI: 7.16-7.64]) were ≥70 years old; 54.8% (n=5,087, crude rate 0.80/100,000 inhabitants) were of mixed/Pardo-Brazilian ethnicity; and 77.9% (n=7,229, adjusted rate 0.86/100,000 inhabitants [95%CI: 0.84-0.88]) lived outside state capitals. The highest proportion of deaths was in the state of Pernambuco (53.9%, n=4,996, adjusted rate 2.72/100,000 inhabitants [95%CI: 2.64-2.79]). Increasing mortality rate was verified in the state of Sergipe. On the coast of the state of Rio Grande do Norte and Bahia, there was spatial dependence of spatio-temporal risk patterns with clusters. Throughout the study period, we found positive spatial autocorrelation and cluster formation. Conclusions: In Northeast Brazil, schistosomiasis persists with a high mortality rate, especially in the coastal region, with heterogeneous spatial and temporal patterns. To eliminate schistosomiasis by 2030, it is necessary to strengthen the financing and management of the unified health system (SUS). |
| first_indexed | 2024-12-12T08:04:09Z |
| format | Article |
| id | doaj.art-db651210247f4ad6affbc18f76e902ad |
| institution | Directory Open Access Journal |
| issn | 1678-9849 |
| language | English |
| last_indexed | 2024-12-12T08:04:09Z |
| publishDate | 2022-06-01 |
| publisher | Sociedade Brasileira de Medicina Tropical (SBMT) |
| record_format | Article |
| series | Revista da Sociedade Brasileira de Medicina Tropical |
| spelling | doaj.art-db651210247f4ad6affbc18f76e902ad2022-12-22T00:32:02ZengSociedade Brasileira de Medicina Tropical (SBMT)Revista da Sociedade Brasileira de Medicina Tropical1678-98492022-06-015510.1590/0037-8682-0431-2021High schistosomiasis-related mortality in Northeast Brazil: trends and spatial patternsBárbara Morgana da Silvahttps://orcid.org/0000-0002-3522-6427Anderson Fuentes Ferreirahttps://orcid.org/0000-0002-1816-9459José Alexandre Menezes da Silvahttps://orcid.org/0000-0003-4603-978XRebeca Gomes de Amorimhttps://orcid.org/0000-0002-5779-0344Ana Lúcia Coutinho Domingueshttps://orcid.org/0000-0002-1824-7090Marta Cristhiany Cunha Pinheirohttps://orcid.org/0000-0002-0511-6964Fernando Schemelzer de Moares Bezerrahttps://orcid.org/0000-0003-4920-7718Jorg Heukelbachhttps://orcid.org/0000-0002-7845-5510Alberto Novaes Ramos Jrhttps://orcid.org/0000-0001-7982-1757ABSTRACT Background: We analyzed the trends and spatial patterns of schistosomiasis-related mortality in Northeast Brazil in 2000-2019. Methods: A mixed population-based ecological study was conducted, using information on the underlying or associated causes of death. We used Joinpoint regression analysis to calculate the trends. The spatial analysis included rates, spatial moving averages, and standardized mortality rates. The spatial dependence analysis was based on Getis-Ord's G and Gi* indices (Gi star) and local Moran’s index to check for autocorrelation. Results: A total of 5,814,268 deaths were recorded, of which 9,276 (0.16%) were schistosomiasis-related; 51.0% (n=4,732, adjusted rate 0.90/100,000 inhabitants [95% confidence interval (CI) 0.88-0.93]) were males; 40.0% (n=3,715, adjusted rate 7.40/100.000 inhabitants [95%CI: 7.16-7.64]) were ≥70 years old; 54.8% (n=5,087, crude rate 0.80/100,000 inhabitants) were of mixed/Pardo-Brazilian ethnicity; and 77.9% (n=7,229, adjusted rate 0.86/100,000 inhabitants [95%CI: 0.84-0.88]) lived outside state capitals. The highest proportion of deaths was in the state of Pernambuco (53.9%, n=4,996, adjusted rate 2.72/100,000 inhabitants [95%CI: 2.64-2.79]). Increasing mortality rate was verified in the state of Sergipe. On the coast of the state of Rio Grande do Norte and Bahia, there was spatial dependence of spatio-temporal risk patterns with clusters. Throughout the study period, we found positive spatial autocorrelation and cluster formation. Conclusions: In Northeast Brazil, schistosomiasis persists with a high mortality rate, especially in the coastal region, with heterogeneous spatial and temporal patterns. To eliminate schistosomiasis by 2030, it is necessary to strengthen the financing and management of the unified health system (SUS).http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822022000100316&lng=en&tlng=enSchistosomiasisEpidemiologyMortalityTime series studyBrazil |
| spellingShingle | Bárbara Morgana da Silva Anderson Fuentes Ferreira José Alexandre Menezes da Silva Rebeca Gomes de Amorim Ana Lúcia Coutinho Domingues Marta Cristhiany Cunha Pinheiro Fernando Schemelzer de Moares Bezerra Jorg Heukelbach Alberto Novaes Ramos Jr High schistosomiasis-related mortality in Northeast Brazil: trends and spatial patterns Revista da Sociedade Brasileira de Medicina Tropical Schistosomiasis Epidemiology Mortality Time series study Brazil |
| title | High schistosomiasis-related mortality in Northeast Brazil: trends and spatial patterns |
| title_full | High schistosomiasis-related mortality in Northeast Brazil: trends and spatial patterns |
| title_fullStr | High schistosomiasis-related mortality in Northeast Brazil: trends and spatial patterns |
| title_full_unstemmed | High schistosomiasis-related mortality in Northeast Brazil: trends and spatial patterns |
| title_short | High schistosomiasis-related mortality in Northeast Brazil: trends and spatial patterns |
| title_sort | high schistosomiasis related mortality in northeast brazil trends and spatial patterns |
| topic | Schistosomiasis Epidemiology Mortality Time series study Brazil |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822022000100316&lng=en&tlng=en |
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