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Peer-reviewedCC BYEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil

Schistosomiasis mansoni distribution: a spatial analysis, state of Rio de Janeiro, Brazil, 2011-2023.

  1. 1Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública Sergio Arouca, Rio de Janeiro, RJ, Brazil Fundação Oswaldo Cruz Escola Nacional de Saúde Pública Sergio Arouca Rio de JaneiroRJ Brazil.
  2. 2Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Sensoriamento Remoto, Porto Alegre, RS, Brazil Universidade Federal do Rio Grande do Sul Programa de Pós-Graduação em Sensoriamento Remoto Porto AlegreRS Brazil.
  3. 3Fundação Oswaldo Cruz, Instituto Oswaldo Cruz, Rio de Janeiro, RJ, Brazil Fundação Oswaldo Cruz Instituto Oswaldo Cruz Rio de JaneiroRJ Brazil.

Abstract

Objective

To analyze the spatial distribution of schistosomiasis mansoni in the municipalities of the state of Rio de Janeiro between 2011 and 2023.Methods

Exploratory spatial analysis of confirmed schistosomiasis cases recorded on the Notifiable Health Conditions Information System. Incidence rates were calculated based on annual population estimates. Correlated variables included Brazilian Institute of Geography and Statistics data on the Municipal Human Development Index, the Gini Index, and occupied households with access to piped water and sanitation, as well as the Institute for Applied Economic Research Social Vulnerability Index. Spatial dependence was assessed using Global Moran's I (I) and Local Moran's I (I i ).Results

Between 2011 and 2023, 1,008 cases of schistosomiasis were confirmed in the state of Rio de Janeiro. The highest number of cases was recorded in 2022, with 136 confirmations. In 2023, 97 cases were confirmed. Spatial autocorrelations were found between the Social Vulnerability Index for urban infrastructure (I=-0.10; p-value 0.018), the composite Municipal Human Development Index (MHDI) (I=-0.07; p-value 0.089), and the MHDI for education (I=-0.07; p-value 0.076). I i revealed relevant clusters in the immediate geographic region of Itaperuna, especially in Varre-Sai.Conclusion

Persistence of schistosomiasis mansoni was observed in historically endemic municipalities, covered by the Schistosomiasis Control Program, with higher incidence rates in Porciúncula, Duas Barras and Sumidouro, these being priority areas for intervention. The set of findings showed association with socioeconomic and housing indicators and indicated active surveillance and case tracing as the main control strategies.

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BibTeX
@article{correa2026schistosomiasis,
  title = {{Schistosomiasis mansoni distribution: a spatial analysis, state of Rio de Janeiro, Brazil, 2011-2023.}},
  author = {Brenno Mathias Corrêa and Alice Nardoni Marteli and Cleber Nascimento do Carmo and Daniel Savignon Marinho and Clélia Christina Mello-Silva},
  journal = {Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil},
  year = {2026},
  month = may,
  doi = {10.1590/s2237-96222026v35e20250812.en},
  url = {https://europepmc.org/article/MED/42922979},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Schistosomiasis mansoni distribution: a spatial analysis, state of Rio de Janeiro, Brazil, 2011-2023.
AU  - Brenno Mathias Corrêa
AU  - Alice Nardoni Marteli
AU  - Cleber Nascimento do Carmo
AU  - Daniel Savignon Marinho
AU  - Clélia Christina Mello-Silva
PY  - 2026
DA  - 2026/05/18
JO  - Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil
DO  - 10.1590/s2237-96222026v35e20250812.en
UR  - https://europepmc.org/article/MED/42922979
AB  - Objective  To analyze the spatial distribution of schistosomiasis mansoni in the municipalities of the state of Rio de Janeiro between 2011 and 2023.Methods  Exploratory spatial analysis of confirmed schistosomiasis cases recorded on the Notifiable Health Conditions Information System. Incidence rates were calculated based on annual population estimates. Correlated variables included Brazilian Institute of Geography and Statistics data on the Municipal Human Development Index, the Gini Index, and occupied households with access to piped water and sanitation, as well as the Institute for Applied Economic Research Social Vulnerability Index. Spatial dependence was assessed using Global Moran's I (I) and Local Moran's I (I i ).Results  Between 2011 and 2023, 1,008 cases of schistosomiasis were confirmed in the state of Rio de Janeiro. The highest number of cases was recorded in 2022, with 136 confirmations. In 2023, 97 cases were confirmed. Spatial autocorrelations were found between the Social Vulnerability Index for urban infrastructure (I=-0.10; p-value 0.018), the composite Municipal Human Development Index (MHDI) (I=-0.07; p-value 0.089), and the MHDI for education (I=-0.07; p-value 0.076). I i revealed relevant clusters in the immediate geographic region of Itaperuna, especially in Varre-Sai.Conclusion  Persistence of schistosomiasis mansoni was observed in historically endemic municipalities, covered by the Schistosomiasis Control Program, with higher incidence rates in Porciúncula, Duas Barras and Sumidouro, these being priority areas for intervention. The set of findings showed association with socioeconomic and housing indicators and indicated active surveillance and case tracing as the main control strategies.
SN  - 1679-4974
SN  - 2237-9622
ER  -