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Dr Leonardo Bastos

PhD

Research Fellow

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

  • PhD in Statistics (2010) University of Sheffield, UK
    (Supervised by Prof. Tony O'Hagan and Prof. Jeremy Oakley)
  • MSc in Statistics (2003) Universidade Federal do Rio de Janeiro, Brazil
    (Supervised by Prof. Dani Gamerman)
  • BSc in Statistics (2002) Universidade Federal de Minas Gerais, Brazil

Affiliations

Faculty of Epidemiology and Population Health
Department of Infectious Disease Epidemiology

Centres

Mathematical Modelling of Infectious Diseases

Research

I am an applied Bayesian statistician interested in infectious deseases modelling. I have been working primarly in two areas:

  1. Hierarchical and spatio-temporal modelling of vector-borne infectious disease, such as dengue, Zika and Chikungunya.
  2. Modelling infectious sexually disease data from hard-to-reach populations, such as drug users and transgender women.
Research Area
Statistical methods
Bayesian Analysis
Spatial analysis
Modelling
Disease and Health Conditions
HIV/AIDS
Syphilis
Dengue
Hepatitis
Sexually transmitted infection
Vector borne disease
Country
Argentina
Brazil
Ecuador
Vietnam
Region
Latin America & Caribbean (all income levels)

Selected Publications

A modelling approach for correcting reporting delays in disease surveillance data.
Bastos LS; Economou T; Gomes MFC; Villela DAM; Coelho FC; Cruz OG; Stoner O; Bailey T; Codeço CT
2019
Statistics in medicine
The risks of HCV infection among Brazilian crack cocaine users: incorporating diagnostic test uncertainty.
Coutinho C; Bastos LS; da Mota JC; Toledo L; Costa K; Bertoni N; Bastos FI
2019
Scientific Reports
HIV, HCV, HBV, and syphilis among transgender women from Brazil: Assessing different methods to adjust infection rates of a hard-to-reach, sparse population.
Bastos FI; Bastos LS; Coutinho C; Toledo L; Mota JC; Velasco-de-Castro CA; Sperandei S; Brignol S; Travassos TS; Dos Santos CM
2018
MEDICINE
Dynamic quantile linear models: a Bayesian approach
Gonçalves KCM; Migon HS; Bastos LS
2018
arXiv
Assessing respondent-driven sampling: A simulation study across different networks
Sperandei S; Bastos LS; Ribeiro-Alves M; Bastos FI
2018
Social Networks
Zika in Rio de Janeiro: Assessment of basic reproduction number and comparison with dengue outbreaks.
Villela DAM; Bastos LS; DE Carvalho LM; Cruz OG; Gomes MFC; Durovni B; Lemos MC; Saraceni V; Coelho FC; Codeço CT
2017
Epidemiology and infection
Higher incidence of Zika in adult women than adult men in Rio de Janeiro suggests a significant contribution of sexual transmission from men to women.
Coelho FC; Durovni B; Saraceni V; Lemos C; Codeco CT; Camargo S; de Carvalho LM; Bastos L; Arduini D; Villela DAM
2016
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
Unrecorded alcohol in Rio de Janeiro: assessing its misusers through Respondent Driven Sampling.
De Boni RB; Bertoni N; Bastos LS; Bastos FI
2014
Drug and alcohol dependence
Binary regression analysis with network structure of respondent-driven
sampling data
Bastos LS; Pinho AA; Codeço C; Bastos FI
See more Publications