Home | Education | Publications | Research | Presentations | In the Media | Contact details

<aside> <img src="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/41f4d2c9-7029-4321-93ed-7f025ef74a8f/480px-Google_Scholar_logo.png" alt="https://s3-us-west-2.amazonaws.com/secure.notion-static.com/41f4d2c9-7029-4321-93ed-7f025ef74a8f/480px-Google_Scholar_logo.png" width="40px" /> Google Scholar

</aside>

<aside> <img src="https://theme.zdassets.com/theme_assets/11199769/02b935144b9a19c226cc526d6a8c452493d2bca1.png" alt="https://theme.zdassets.com/theme_assets/11199769/02b935144b9a19c226cc526d6a8c452493d2bca1.png" width="40px" /> ResearchGate

</aside>

<aside> đŸ‡§đŸ‡· Lattes CV

</aside>

Go to:

<aside> <img src="/icons/push-pin_lightgray.svg" alt="/icons/push-pin_lightgray.svg" width="40px" />

First-author publications are highlighted.

</aside>

Published Journal Articles

  1. Portella TP, Picinini Freitas L, Resende PC, Gomes MFC, Bastos LS. “Highly Atypical 2025 Influenza A Season in Brazil”. Influenza and Other Respiratory Viruses, 20:e70262 (2026). https://doi.org/10.1111/irv.70262
  2. daCosta Oliveira TN, Moreira RC, Carvalho LM, Coelho FC, Gomes MFC, Bastos LS, Picinini Freitas L, Pacheco AG. “Mortality trends for diabetes mellitus, hypertension and cardiovascular disease among people living with and without HIV in Brazil during the COVID-19 pandemic, 2020–2022”. HIV Medicine, 1-12 (2026). https://doi.org/10.1111/hiv.70240
  3. Araujo EC, Carvalho LM, Ganem F, Vacaro LB, Bastos LS, Freitas LP, de Almeida IF, Bastos M, Alencar R, Bianchi L, CapellĂĄn R, Chen X, Cruz O, Cunha A, Das HK, Fletcher C, Lana RM, Lowe R, LĂŒhrsen D, Moirano G, Moraga P, Stolerman LM, Valente F, Codeço CT, Coelho FC. “Leveraging probabilistic forecasts for dengue preparedness and control: The 2024 Dengue Forecasting Sprint in Brazil”. PNAS, 123(7):e2508989123 (2026). https://doi.org/10.1073/pnas.2508989123
  4. Douwes-Schultz D, Schmidt AM, Freitas LP, Carvalho MS. “Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases". Biostatistics, 20(1):kxaf034 (2025). https://doi.org/10.1093/biostatistics/kxaf034
  5. Barkhad A, de Almeida Santos G, Campos SRC, Braz LMA, Picinini Freitas L, Zinszer K, de Souza R, Waldron I, Loeb M, Luna E, Mbuagbaw L. “Knowledge, Attitudes, Practices and Perceptions of the Eco‐Bio‐Social Determinants of Dengue Transmission in São Paulo, Brazil: A Mixed‐Methods Study”. Tropical Medicine & International Health, 31:58–79 (2025). https://doi.org/10.1111/tmi.70050
  6. Salazar-Flórez J, Restrepo BN, Freitas LP, Carabali M, Jaramillo-Ramirez GI, García-Balaguera C, Monsalve BA, Zinszer K. “Spatio-temporal analysis of the distribution and co-circulation of dengue, chikungunya, and Zika in Medellín, Colombia, from 2013 to 2021”. PLOS Negl Trop Dis 19(9): e0013470 (2025). https://doi.org/10.1371/journal.pntd.0013470
  7. Picinini Freitas L, Ferreira DAC, Lana RM, Cñmara DCP, Portella TP, Carvalho MS, Gouveia AS, Almeida IF, Araujo EC, Vacaro LB, Ganem F, Cruz OG, Coelho FC, Codeço CT, Carvalho LM, Bastos LS. “A statistical model for forecasting probabilistic epidemic bands for dengue cases in Brazil”. Infectious Diseases Modelling, 10(4):1479-1487 (2025). https://doi.org/10.1016/j.idm.2025.07.014
  8. da Cruz Ferreira DA, Freitas LP, Lowe R, Souza GD, Fujiwara RT, Martins Lana R. “Introduction, establishment, and distribution of Aedes aegypti and dengue in a temperate capital of Brazil: a retrospective surveillance-based study”. The Lancet Regional Health - Americas, 48:101153 (2025). https://doi.org/10.1016/j.lana.2025.101153
  9. Araujo EC, Codeço CT, Loch S, Vacaro L, Freitas LP, Lana RM, Bastos LS, Almeida IF, Valente F, Carvalo LM, Coelho FC. “Large-scale Epidemiological modeling: Scanning for Mosquito-Borne Diseases”. Royal Society Open, 12:241261 (2025). https://doi.org/10.1098/rsos.241261
  10. Picinini Freitas L, Carabali M, Schmidt AM, Salazar-Flórez JE, Ávila-Monsalve B, García-Balaguera C, Restrepo BN, Jaramillo-Ramirez GI, Zinszer K. “A nationwide joint spatial modelling of simultaneous epidemics of dengue, chikungunya, and Zika in Colombia, 2014-2016”. BMC Infectious Diseases, 25:406 (2025). https://doi.org/10.1186/s12879-025-10782-0
  11. Michal V, Schmidt AM, Freitas LP, Cruz OG. “A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects”. Statistical Methods in Medical Research, 34(2):307-321 (2024). https://doi.org/10.1177/09622802241293776
  12. Freitas LP, Codeço CT, Bastos LS, Villela DAM, Cruz OG, Pacheco AG, Coelho FC, Lana RM, Carvalho LMF, Niquini RP, Almeida WAF, Silva DA, Carvalho FC, Gomes MFC. “Evaluation of the design of the influenza-like illness sentinel surveillance system in Brazil”. Reports in Public Health [Cadernos de SaĂșde PĂșblica], 40(6):e00028823 (2024). https://doi.org/10.1590/0102-311XEN028823
  13. Moreira RC, Bastos LS, Carvalho LM, Freitas LP, Pacheco AG. “Persistent high mortality rates for Diabetes Mellitus and Hypertension after excluding deaths associated with COVID-19 in Brazil, 2020–2022”. PLOS Global Public Health 4(5): e0002576 (2024). https://doi.org/10.1371/journal.pgph.0002576
  14. Picinini Freitas L, Douwes-Schultz D, Schmidt A, Monsalve BA, Salazar-Flórez JE, García-Balaguera C, Restrepo BN, Jaramillo-Ramirez GI, Carabali M, Zinszer K. “Zika emergence, persistence, and transmission rate in Colombia: a nationwide application of a space-time Markov switching model”. Scientific Reports, 14:10003 (2024). https://doi.org/10.1038/s41598-024-59976-7