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    Sabrina Esteves Mattos Almeida

    Amazonian biodiversity is increasingly threatened due to the weakening of policies for combating deforestation, especially in Brazil. Loss of animal and plant species, many not yet known to science, is just one among many negative... more
    Amazonian biodiversity is increasingly threatened due to the weakening of policies for combating deforestation, especially in Brazil. Loss of animal and plant species, many not yet known to science, is just one among many negative consequences of Amazon deforestation. Deforestation affects indigenous communities, riverside as well as urban populations, and even planetary health. Amazonia has a prominent role in regulating the Earth's climate, with forest loss contributing to rising regional and global temperatures and intensification of extreme weather events. These climatic conditions are important drivers of emerging infectious diseases, and activities associated with deforestation contribute to the spread of disease vectors. This review presents the main impacts of Amazon deforestation on infectious-disease dynamics and public health from a One Health perspective. Because Brazil holds the largest area of Amazon rainforest, emphasis is given to the Brazilian scenario. Finally, potential solutions to mitigate deforestation and emerging infectious diseases are presented from the perspectives of researchers in different fields.
    Population data of 15 short tandem repeat loci of the AmpFlSTR® next generation multiplex (NGM)™ were obtained from a sample of 835 individuals. The loci are the ten short tandem repeats (STRs) in the SGM Plus® Kit plus the EDNAP- and... more
    Population data of 15 short tandem repeat loci of the AmpFlSTR® next generation multiplex (NGM)™ were obtained from a sample of 835 individuals. The loci are the ten short tandem repeats (STRs) in the SGM Plus® Kit plus the EDNAP- and ENSFI-recommended STRs D10S1248, D22S1045, D2S441, D1S1656, and D12S391. Allele frequency and other forensically relevant statistics data were generated for the NGM loci into five current country macroregions of Brazil (North, Northeast, Central West, Southeast, and South). All the analyzed loci meet Hardy-Weinberg equilibrium expectations and no linkage disequilibrium in all pairs of loci. The observed and expected heterozygosity, power of discrimination, polymorphic information content, and the other population-genetic indices were calculated. The overall power of discrimination was greater than 0.99999999999999999996 and the combined power of exclusion was greater than 0.9999998 in all Brazilian populations. Comparative analysis between populations from different Brazilian macroregions as well as between Brazil and Caucasian, African Americans, and Hispanic US populations are presented.