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Your search keyword '"Cordeiro, Marli T."' showing total 16 results

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16 results on '"Cordeiro, Marli T."'

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1. Follow-Up Household Serosurvey in Northeast Brazil for Zika Virus: Sexual Contacts of Index Patients Have the Highest Risk for Seropositivity.

2. Perinatal analyses of Zika- and dengue virus-specific neutralizing antibodies: A microcephaly case-control study in an area of high dengue endemicity in Brazil.

3. Dengue Virus-Specific Antibodies Enhance Brazilian Zika Virus Infection.

4. Placental Transfer of Dengue Virus (DENV)-Specific Antibodies and Kinetics of DENV Infection-Enhancing Activity in Brazilian Infants.

5. From Re-Emergence to Hyperendemicity: The Natural History of the Dengue Epidemic in Brazil.

6. High Incidence of Zika or Chikungunya Infection among Pregnant Women Hospitalized Due to Obstetrical Complications in Northeastern Brazil—Implications for Laboratory Screening in Arbovirus Endemic Area.

7. Erratum to: Follow-Up Household Serosurvey in Northeast Brazil for Zika Virus: Sexual Contacts of Index Patients Have the Highest Risk for Seropositivity.

8. Two-year Decay of Zika Virus Neutralizing Antibodies in People Living in an Endemic Region in Brazil.

9. The Prevalence of Adenoid Hypertrophy among Children with Zika Related Microcephaly.

10. Perinatal analyses of Zika- and dengue virus-specific neutralizing antibodies: A microcephaly case-control study in an area of high dengue endemicity in Brazil.

12. A two-plasmid strategy for engineering a dengue virus type 3 infectious clone from primary Brazilian isolate.

13. Dengue infection in pregnancy and transplacental transfer of anti-dengue antibodies in Northeast, Brazil.

14. Complement factor H gene (CFH) polymorphisms C-257T, G257A and haplotypes are associated with protection against severe dengue phenotype, possible related with high CFH expression.

15. Association between magnitude of the virus-specific plasmablast response and disease severity in dengue patients.

16. Gene expression profiling during early acute febrile stage of dengue infection can predict the disease outcome.

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