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CORRELATION BETWEEN SANITATION INDICATORS AND TRIPLE ARBOVIROSIS IN THE SÃO FRANCISCANO VALLEY MESOREGION, BAHIA

Authors

  • Vitor Marcos Lima dos Santos Universidade Federal do Vale do São Francisco
  • Raylane Silva de Alcântara Universidade Federal do Vale do São Francisco
  • Isabela Ribeiro Suzano Universidade Federal do Vale do São Francisco
  • Miriam Cleide Cavalcanti de Amorim Universidade Federal do Vale do São Francisco

Keywords:

Regressão múltipla, SNIS, Aedes Aegypti

Abstract

Poorly planned urbanization leads to risks for cities and municipalities, as it relates directly to urban health, generating a special attention to infectious diseases caused by Aedes Aegypti, such as Dengue, Zika virus and Chikungunya fever. The objective was to evaluate the existing correlation between sanitation indicators and the rates of reported cases of triple arboviroses in the municipalities that make up the mesoregion of the São Franciscano Valley, in the state of Bahia between the years 2014 to 2021. This is a quantitative, cross-sectional and analytical study, where initially the collection of information in the databases of DATASUS-TABNET and SNIS was carried out, later the index of annual cases was calculated, and with the data collected, multiple regression was applied. The mesoregion recorded, from 2014 to 2021, a number of 23,497 infections by arboviroses, 79.5% corresponding to cases of Dengue. Analyzing the historical series it is observed a significant increase of 432% observed in 2020 in relation to the previous year, and a subsequent reduction of 48% in 2021. Considering the correlation analysis, it is worth noting that no municipality returned to the multiple regressions with the significance level of 5% for the cases analyzed in all arboviroses. Chikungunya Fever being the variable that presented the highest number of significant correlations. Therefore, it is not possible to limit the number of cases only to the indicators that represent the sanitation conditions of the municipality, and a broader approach is necessary due to its complexity in order to contemplate other indicators.

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Author Biographies

Raylane Silva de Alcântara, Universidade Federal do Vale do São Francisco

Discente do curso de graduação de ciências biológicas e membro do grupo PET-Saneamento Ambiental.

Isabela Ribeiro Suzano, Universidade Federal do Vale do São Francisco

Discente do curso de graduação em ciências biológicas e membro do PET- Saneamento Ambiental.

Miriam Cleide Cavalcanti de Amorim, Universidade Federal do Vale do São Francisco

Docente do curso de gradução em Engenharia Agrícola e Ambiental e Tutora do PET - Saneamento Ambiental 

Published

2023-03-25 — Updated on 2023-03-28

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