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Quantitative assessment of olfactory dysfunction accurately detects asymptomatic COVID-19 carriers
Background: COVID-19 threatens the global community because a large fraction of infected people are
asymptomatic, yet can effectively transmit SARS-CoV-2. Finding and isolating these silent carriers is a crucial
step in ...
Targeting asymptomatic malaria: assessment of community-based active case detection in the Peruvian Amazon
(Universidad Peruana Cayetano Heredia, 2019)
Background: Faced with the resurgence of malaria in the Peruvian Amazon since 2012, malaria surveillance was enhanced by adding a local active case detection (ACD) strategy to the routine passive case detection (PCD) as a ...
Novel Recombinant Multiepitope Proteins for the Diagnosis of Asymptomatic Leishmania infantum-Infected Dogs
(Public Library of Science, 2016)
Novel Recombinant Multiepitope Proteins for the Diagnosis of Asymptomatic Leishmania infantum-Infected Dogs
(Public Library of Science, 2022)
Molecular method confirms canine leishmania infection detected by serological methods in non-endemic area of Brazil
(2018-02-01)
In Brazil, visceral leishmaniasis (VL) is expanding and becoming urbanized, especially in non-endemic areas such as the State of Rio Grande do Sul. Considering that infected dogs are the main reservoir for zoonotic VL, ...
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks
(2010-05-06)
Abstract
Background
Accurate malaria diagnosis is mandatory for the treatment and management of severe cases. Moreover, individuals with asymptomatic malaria are not usually ...
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks
(2010-01)
Abstract
Background
Accurate malaria diagnosis is mandatory for the treatment and management of severe cases. Moreover, individuals with asymptomatic malaria are not usually screened by health care facilities, which ...
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks
(2010-05-06)
Abstract
Background
Accurate malaria diagnosis is mandatory for the treatment and management of severe cases. Moreover, individuals with asymptomatic malaria are not usually ...
Research Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks
(2010)
Background: Accurate malaria diagnosis is mandatory for the treatment and management of severe cases. Moreover,
individuals with asymptomatic malaria are not usually screened by health care facilities, which further ...
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks
(2010)
Background: Accurate malaria diagnosis is mandatory for the treatment and management of severe cases. Moreover, individuals with asymptomatic malaria are not usually screened by health care facilities, which further ...