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Hospitalisations for mycoses as an indicator of socio‐environmental vulnerability in the Brazilian Amazon‐Savanna transition region
Author(s) -
Silva Letícia Chagas,
Oliveira Lorena Vívien Neves,
Silva Fabrício Brito,
Santos Jessflan Rafael Nascimento,
Araújo Mayara Lucyanne Santos,
Mendes Amanda Graziela Gonçalves,
Miranda Rita de Cássia Mendonça de,
Santos Daniel Assis,
Holanda Rodrigo Assuncao,
Santos Julliana Ribeiro Alves
Publication year - 2020
Publication title -
mycoses
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.13
H-Index - 69
eISSN - 1439-0507
pISSN - 0933-7407
DOI - 10.1111/myc.13036
Subject(s) - geography , amazon rainforest , vulnerability (computing) , socioeconomics , sanitation , environmental health , population , index (typography) , ecological study , demography , environmental protection , ecology , medicine , biology , computer security , pathology , sociology , computer science , world wide web
Background The infections caused by fungi represent a global concern and an important cause of hospital admissions in endemic areas. The influence of socio‐environmental factors in infectious diseases has been documented; however, this phenomenon remains unclear regarding mycoses. Objectives This study aimed to analyse the spatio‐temporal dynamics of hospitalisations for mycoses (HM) and the association with socio‐economic and climate data in the Amazon‐Savanna Transition Region in the state of Maranhão, Brazil. Methods In this study, Spearman's correlation was applied to determine the correlation between HM, socio‐economic and climatic data obtained from national databases in the period from 1998 to 2016. Hospitalisations for mycoses data were spatialised and analysed using the local Moran's index. Results Our data revealed a negative and significant correlation between HM and socio‐economic data regarding population, demographic density, human development index, health facilities and sanitary sewage. Significant correlations were observed between HM and precipitation, maximum temperature and minimum temperature. The main modulating climatic variable was the minimum temperature. The spatial autocorrelation analysis showed the dynamics of HM in municipalities belonging to the different regions of the state influenced by socio‐economic conditions. We observed the presence of municipalities with high incidence of HM surrounded by others with low HM cases and vice versa. Conclusions Our results indicate that hospitalisations for mycoses represent an important indicator of socio‐environmental vulnerability in the Amazon‐Savanna transition region in Brazil. We encourage the adoption of measures to mitigate social and environmental impact on these diseases, especially in municipalities with low socio‐economic status.