Tamara García
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Tamara García has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Carolina Goizueta
Mundo Sano Foundation, Buenos Aires, Argentina
1 shared publication - Elvia Nieves
Cátedra de Química Biológica, Facultad de Ciencias Naturales, Universidad Nacional de Salta, Salta A4400, Argentina
1 shared publication - Ernesto Candela Senti
Facultad de Farmacia y Tecnología Farmacéutica y Parasitología, Universidad de Valencia, 46010 Valencia, Spain
1 shared publication - Maria Victoria Periago
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires C1425FQB, Argentina
1 shared publication - Miguel Martínez-Lacalzada
Instituto de Salud Global, 08036 Barcelona, Spain
1 shared publication - Ruben Oscar Cimino
Instituto de Investigaciones de Enfermedades Tropicales (IIET), Facultad Regional Orán, Universidad Nacional de Salta, Salta A4400, Argentina
1 shared publication
Latest Publications
- Open Access
Diagnostic Accuracy of a Commercial ELISA for Detecting Antibodies Against Strongyloides stercoralis in Dried Blood Spots: A Field Study in Puerto Iguazú, Argentina
Background: Strongyloides stercoralis is frequently underdiagnosed due to the limited sensitivity of stool-based methods. Serology improves detection, but venous blood collection and cold-chain requirements complicate field implementation. Dried blood spots (DBS) offer a practical alternative for large-scale surveys. This study aimed to evaluate the diagnostic accuracy of DBS-based serology and compare its performance with conventional ELISA. Methods: A cross-sectional study was conducted in peri-urban communities of Puerto Iguazú, Misiones, Argentina. Stool samples were examined using sedimentation–concentration and Baermann techniques. Venous blood on DBS was analyzed using a commercial ELISA (cELISA) and an in-house NIE-ELISA. Diagnostic accuracy was assessed using a primary reference standard. Agreement between serum and DBS was evaluated using kappa statistics, and ROC curves were generated for paired samples. Results: DBS cELISA showed the highest sensitivity (89.1%), followed by serum cELISA (81.1%) and in-house NIE-ELISA (71.7%). Concordance between sera vs DBS was substantial for cELISA (κ = 0.68) and fair for NIE-ELISA (κ = 0.21). ROC analysis showed comparable AUCs for cELISA using sera (0.85) and DBS (0.83), whereas in-house NIE-ELISA performance declined with DBS (AUC = 0.61). Conclusion: DBS-based cELISA demonstrated high diagnostic accuracy and strong agreement with sera, supporting its use as a field-adapted tool for strongyloidiasis surveillance. DBS serology represents a feasible and reliable alternative for epidemiological studies in resource-limited settings.
Open AccessDiagnostic Accuracy of a Commercial ELISA for Detecting Antibodies Against Strongyloides stercoralis in Dried Blood Spots: A Field Study in Puerto Iguazú, Argentina
Background: Strongyloides stercoralis is frequently underdiagnosed due to the limited sensitivity of stool-based methods. Serology improves detection, but venous blood collection and cold-chain requirements complicate field implementation. Dried blood spots (DBS) offer a practical alternative for large-scale surveys. This study aimed to evaluate the diagnostic accuracy of DBS-based serology and compare its performance with conventional ELISA. Methods: A cross-sectional study was conducted in peri-urban communities of Puerto Iguazú, Misiones, Argentina. Stool samples were examined using sedimentation–concentration and Baermann techniques. Venous blood on DBS was analyzed using a commercial ELISA (cELISA) and an in-house NIE-ELISA. Diagnostic accuracy was assessed using a primary reference standard. Agreement between serum and DBS was evaluated using kappa statistics, and ROC curves were generated for paired samples. Results: DBS cELISA showed the highest sensitivity (89.1%), followed by serum cELISA (81.1%) and in-house NIE-ELISA (71.7%). Concordance between sera vs DBS was substantial for cELISA (κ = 0.68) and fair for NIE-ELISA (κ = 0.21). ROC analysis showed comparable AUCs for cELISA using sera (0.85) and DBS (0.83), whereas in-house NIE-ELISA performance declined with DBS (AUC = 0.61). Conclusion: DBS-based cELISA demonstrated high diagnostic accuracy and strong agreement with sera, supporting its use as a field-adapted tool for strongyloidiasis surveillance. DBS serology represents a feasible and reliable alternative for epidemiological studies in resource-limited settings.