Corrigendum: Assessment of the accuracy of 11 different diagnostic tests for the detection of in individuals from a Brazilian area of low endemicity using latent class analysis.

[This corrects the article DOI: 10.3389/fmicb.2022.

Assessment of the accuracy of 11 different diagnostic tests for the detection of in individuals from a Brazilian area of low endemicity using latent class analysis.

Background: Schistosomiasis is a parasitic disease associated with poverty. It is estimated that 7.1 million people are infected with in Latin America, with 95% of them living in Brazil.

Schistosoma tegument proteins in vaccine and diagnosis development: an update.

The development of a vaccine against schistosomiasis and also the availability of a more sensitive diagnosis test are important tools to help chemotherapy in controlling disease transmission. Bioinformatics tools, together with the access to parasite genome, published recently, should help generate new knowledge on parasite biology and search for new vaccines or therapeutic targets and antigens to be used in the disease diagnosis. Parasite surface proteins, especially those expressed in schistosomula tegument, represent interesting targets to be used in vaccine formulations and in the diagnosis of early infections, since the tegument represents the interface between host and parasite and its molecules are responsible for essential functions to parasite survival.

Identification of Schistosoma mansoni candidate antigens for diagnosis of schistosomiasis.

The development of a more sensitive diagnostic test for schistosomiasis is needed to overcome the limitations of the use of stool examination in low endemic areas. Using parasite antigens in enzyme linked immunosorbent assay is a promising strategy, however a more rational selection of parasite antigens is necessary. In this study we performed in silico analysis of the Schistosoma mansoni genome, using SchistoDB database and bioinformatic tools for screening immunogenic antigens.