Hospitalisations for mycoses as an indicator of socio-environmental vulnerability in the Brazilian Amazon-Savanna transition region
| Autor: | Amanda Graziela Gonçalves Mendes, Rodrigo Assuncao Holanda, Jessflan Rafael Nascimento Santos, Rita de Cássia Mendonça de Miranda, Julliana Ribeiro Alves Santos, Daniel Assis Santos, Lorena Vívien Neves de Oliveira, Mayara de Araújo, Fabrício Brito Silva, Letícia Chagas da Silva |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Climate Rain 030106 microbiology Population Vulnerability Dermatology Statistics Nonparametric Climatic data 030207 dermatology & venereal diseases 03 medical and health sciences 0302 clinical medicine Spatio-Temporal Analysis Environmental health Prevalence Humans Human Development Index Sanitation education Demography education.field_of_study Maximum temperature Amazon rainforest Incidence General Medicine Hospitalization Infectious Diseases Geography Mycoses Socioeconomic Factors Socio environmental High incidence Seasons Delivery of Health Care Brazil |
| Zdroj: | MycosesREFERENCES. 63(2) |
| ISSN: | 1439-0507 |
| Popis: | 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 Maranhao, 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text