Nuno Sepúlveda
Biographic Data
| ID | 8338905 |
|---|---|
| NAME | Nuno Sepúlveda |
| GIVEN NAMES | Nuno |
| FAMILY NAME | Sepúlveda |
| SIGNATURE | SEPÚLVEDA N |
| AFFILIATIONS | Universidade Aberta |
| ORCID | 0000-0002-8542-1706 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
The importance of estimating prevalence of ME/CFS in future epidemiological studies of long Covid
Anna D. Grabowska, Francisco Westermeier, Luís Nacul, Eliana Lacerda and Nuno Sepulveda
Comparison of Commercial Elisa Kits to Confirm the Absence of Transmission in Malaria Elimination Settings
Background Antimalarial antibody measurements are useful because they reflect historical and recent exposure to malaria. As such, they may provide additional information to assess ongoing transmission in low endemic or pre-elimination settings where cases are rare. In addition, the absence of antibody responses in certain individuals can indicate the cessation of transmission. Commercial malaria enzyme-linked immunosorbent assays (ELISA) detect a…
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Comparison of Commercial Elisa Kits to Confirm the Absence of Transmission in Malaria Elimination Settings
Background Antimalarial antibody measurements are useful because they reflect historical and recent exposure to malaria. As such, they may provide additional information to assess ongoing transmission in low endemic or pre-elimination settings where cases are rare. In addition, the absence of antibody responses in certain individuals can indicate the cessation of transmission. Commercial malaria enzyme-linked immunosorbent assays (ELISA) detect a…
The importance of estimating prevalence of ME/CFS in future epidemiological studies of long Covid
Anna D. Grabowska, Francisco Westermeier, Luís Nacul, Eliana Lacerda and Nuno Sepulveda
Environmental health (2 works) · Medicine (2 works) · Virology (2 works) · 2019-20 coronavirus outbreak (1 work) · Computational Drug Discovery Methods (1 work) · Computer Science (1 work) · COVID-19 and Mental Health (1 work) · Disease (1 work) · Epidemiology (1 work) · Immunology (1 work)