Spatial analysis of probable cases of dengue fever, chikungunya fever and zika virus infections in Maranhao State, Brazil
Costa, Silmery da Silva Brito, Branco, Maria dos Remédios Freitas Carvalho, Aquino Junior, José, Rodrigues, Zulimar Márita Ribeiro, Queiroz, Rejane Christine de Sousa, Araujo, Adriana Soraya, Câmara, Ana Patrícia Barros, Santos, Polyana Sousa dos, Pereira, Emile Danielly Amorim, Silva, Maria do Socorro da, Costa, Flávia Regina Vieira da, Santos, Amanda Valéria Damasceno dos, Medeiros, Maria Nilza Lima, Alcântara Júnior, José Odval, Vasconcelos, Vitor Vieira, Santos, Alcione Miranda dos, Silva, Antônio Augusto Moura da
Rev. Inst. Med. trop. S. Paulo
DATA DE PUBLICAÇÃO
ABSTRACT Dengue fever, chikungunya fever, and zika virus infections are increasing public health problems in the world, the last two diseases having recently emerged in Brazil. This ecological study employed spatial analysis of probable cases of dengue fever, chikungunya fever, and zika virus infections reported to the National Mandatory Reporting System (SINAN) in Maranhao State from 2015 to 2016. The software GeoDa version 1.10 was used for calculating global and local Moran indices. The global Moran index identified a significant autocorrelation of incidence rates of dengue (I=0.10; p=0.009) and zika (I=0.07; p=0.03). The study found a positive spatial correlation between dengue and the population density (I=0.31; p<0.001) and a negative correlation with the Performance Index of Unified Health System (PIUHS) by basic care coverage (I=-0.08; p=0.01). Regarding chikungunya fever, there were positive spatial correlations with the population density (I=0.06; p=0.03) and the Municipal Human Development Index (MHDI) (I=0.10; p=0.002), and a negative correlation with the Gini index (I=-0.01; p<0.001) and the PIUHS by basic care coverage (I=-0.18; p<0.001). Lastly, we found positive spatial correlations between Zika virus infections and the population density (I=0.13; p=0.005) and the MHDI (I=0.12; p<0.001), as well as a negative correlation with the Gini index (I=-0.11; p<0.001) and the PIUHS by basic care coverage (I=-0.05; p=0.03). Our results suggest that several socio-demographic factors influenced the occurrence of dengue fever, chikungunya fever, and zika virus infections in Maranhao State.
- ERRATUM: Spatial analysis of probable cases of dengue fever, chikungunya fever and zika virus infections in Maranhao State, Brazil
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