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- Title
Spatial analysis of probable cases of dengue fever, chikungunya fever and zika virus infections in Maranhao State, Brazil.
- Authors
da Silva Brito Costa, Silmery; dos Remédios Freitas Carvalho Branco, MARIA; Aquino Junior, José; Ribeiro Rodrigues, Zulimar Márita; Christine de Sousa Queiroz, Rejane; Soraya Araujo, Adriana; Barros Câmara, Ana Patrícia; Sousa dos Santos, Polyana; Amorim Pereira, Emile Danielly; do Socorro da Silva, Maria; Vieira da Costa, Flávia Regina; Damasceno dos Santos, Amanda Valéria; Lima Medeiros, Maria Nilza; Alcântara Júnior, José Odval; Vieira Vasconcelos, Vitor; Miranda dos Santos, Alcione; Moura da Silva, Antônio Augusto
- 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.
- Publication
Revista do Instituto de Medicina Tropical de São Paulo, 2018, Vol 60, p1
- ISSN
0036-4665
- Publication type
Article
- DOI
10.1590/S1678-9946201860062