Tuberculosis inequalities and socio-economic deprivation in Portugal.

OBJECTIVE: To analyse the geographical distribution of tuberculosis (TB) in Portugal and estimate the association between TB and socio-economic deprivation. METHODS: An ecological study at the municipality level using TB notifications for 2010-2014 was conducted. Spatial Bayesian models were used to calculate smoothed standardised notification rates, identify high- and low-risk areas and estimate the association between TB notification and the European Deprivation Index (EDI) for Portugal and its component variables. RESULTS: Standardised notification rates ranged from 4.41 to 76.44 notifications per 100 000 population. Forty-one high-risk and 156 low-risk municipalities were identified. There was no statistically significant association between TB notification rate and the EDI, but some of its variables, such as the proportion of manual workers and the percentage unemployed, were significantly and directly associated with TB notification, whereas the variable 'proportion of residents with low education level' showed an inverse relationship. CONCLUSION: Wide inequalities in TB notification rates were observed, and some areas continued to exhibit high TB notification rates. We found significant associations between TB and some socio-economic factors of the EDI.

Spatial Pattern of Trees Affected by Black Spot in Citrus Groves in Brazil.

Citrus black spot (CBS), caused by Guignardia citricarpa, is the most important fungal disease of orange trees in Brazil. The spatial pattern of CBS-symptomatic trees was evaluated using the binomial dispersion index (D), Ripley's K function (K), and a Monte Carlo test for minimum mean distance (d) to understand the distribution of the pathogen. Disease was monitored in 7,790 citrus trees from four commercial groves. In one grove, disease incidence was assessed from 1999 to 2001 and, in the others, disease assessments were conducted only in 2002. Infected trees were aggregated based on the three statistical analyses used (D, K, and d) regardless of the CBS incidence. The binomial index of dispersion (D) indicated aggregation of CBS-affected trees for all groves and for various quadrat sizes (2 by 2, 3 by 3, 4 by 4… up to 10 by 10). According to Ripley's K function, the dependence among symptomatic trees comprised two to three neighboring trees. Disease dispersion occurred at distances below 24.7 m according to the test for d. This suggests that the dispersion of inoculum is highly important over short distances. As a consequence, the required sample size to achieve a level of accuracy of C = 20% increases exponentially with the decrease in incidence of CBS below 15% infected plants.