In a study of the simultaneous occurence of pulmonary tubercu-10sis and leprosy it was found that 13.4% of leprosy patients were also suffering from tuberculosis on admission to hospital. This fi gure is considered to accurately reflect the prevalence of the association of these two diseases in South Africa. Tuberculosis occurred throughout the 1eprosy spectrum and in general responded well when appropriate therapy was added to standard 1eprosy treatment. There is potentia1 danger in that ri fampicin resistant strains of M. tuberculosis may be se1ected for if the clinician fails to recognize the simu1taneous condition.
Endemic regions for Puumala virus (PUUV) are located in the most affected federal state Baden-Wuerttemberg, South-West Germany, where high numbers of notified human hantavirus disease cases have been occurring for a long time. The distribution of human cases in Baden-Wuerttemberg is, however, heterogeneous, with a high number of cases recorded during 2012 in four districts (H districts) but a low number or even no cases recorded in four other districts (L districts). Bank vole monitoring during 2012, following a beech (Fagus sylvatica) mast year, resulted in the trapping of 499 bank voles, the host of PUUV. Analyses indicated PUUV prevalences of 7-50% (serological) and 1.8-27.5% (molecular) in seven of eight districts, but an absence of PUUV in one L district. The PUUV prevalence differed significantly between bank voles in H and L districts. In the following year 2013, 161 bank voles were trapped, with reduced bank vole abundance in almost all investigated districts except one. In 2013, no PUUV infections were detected in voles from seven of eight districts. In conclusion, the linear modelling approach indicated that the heterogeneous distribution of human PUUV cases in South-West Germany was caused by different factors including the abundance of PUUV RNA-positive bank voles, as well as by the interaction of beech mast and the proportional coverage of beech and oak (Quercus spec.) forest per district. These results can aid developing local public health risk management measures and early warning models.
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