Abstract
Climate can modulate human health at large spatial scales, but the influence of global, regional, and local environments remains poorly understood, especially for neglected diseases, such as mycoses. In this work, we present the correlation between climatic variables and hospitalizations for mycoses in Brazilian state capitals, evaluating the period of 2008 to 2016 at different time scales. The results indicate that climate modulates the hospitalizations for mycoses differently at annual and monthly time scales, with minimum temperature as a key climatic variable during periods of high prevalence in the 10 Brazilian capitals with the highest hospitalizations for mycoses rates. The greatest number of hospitalizations coincided with La Niña events, while a reduction was observed during El Niño events, thereby demonstrating the influence of the Pacific Interdecadal Climate Oscillation on the prevalence of mycoses in Brazil. At a regional scale, the mycoses burden in Brazil appears to respond differently to local and global climatic drivers.
Highlights
Climate can modulate human health at large spatial scales, but the influence of global, regional, and local environments remains poorly understood, especially for neglected diseases, such as mycoses
The results show heterogeneity in the spatial distribution of hospitalizations for mycoses (HM), maximum temperature (Fig. 1a), minimum temperature (Fig. 1b), and precipitation (1c) in 26 Brazilian state capitals and Federal District and differing cumulative percentages of HM for each period (Fig. 1d)
Climatic variables differ among the different regions of Brazil
Summary
Climate can modulate human health at large spatial scales, but the influence of global, regional, and local environments remains poorly understood, especially for neglected diseases, such as mycoses. We present the correlation between climatic variables and hospitalizations for mycoses in Brazilian state capitals, evaluating the period of 2008 to 2016 at different time scales. Most of them describe only the global impact of climate change, but lack an evaluation of temporal patterns at different scales[1,2,3,6,7]. In this context, epidemiology is considered an importance science which encourages research about public health issues. The goal of this work was to evaluate the statistical correlations in time series (2008−2016) of climate and hospitalizations for mycoses (HM) in the state capitals of Brazil
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