M. V. G. d. Lacerda

This study evaluates how genetic diversity in Plasmodium vivax antigens affects serological markers for malaria exposure and finds that using multiple antigens can improve detection accuracy.

The paper examines how different forest edge landscapes affect mosquito communities and pathogen emergence risk in the Amazon rainforest.

The paper develops a molecular barcode and online tool to identify and map imported Plasmodium vivax infections using SNP analysis and machine learning.

The paper identifies and validates a panel of 8 P. vivax proteins whose IgG antibody responses can detect recent exposure to P. vivax infections within the prior 9 months with 80% sensitivity and specificity.