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Fig. 7 | Infectious Diseases of Poverty

Fig. 7

From: Driving role of climatic and socioenvironmental factors on human brucellosis in China: machine-learning-based predictive analyses

Fig. 7

Trends in the sunshine and humidity extremes and incidence of brucellosis in a arid and continental, b temperate and tropical climatic zones after copula-processing. We normalized the differences due to order-of-magnitude gaps, which may thus lead to an unclear presentation in the figure; \(rs\) represents the Pearson correlation coefficient for the year-to-year difference between sunshine and the incidence of brucellosis in the corresponding climate zone; \(rh\) represents humidity. The rationale for selecting Pearson for the correlation coefficients is that the data all conform to a normal distribution (see Additional file 1) but have not been tested for statistical significance because the amount of data is too small (n = 6) to qualify for the test

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