Dr Leonardo Bastos
- 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
Faculty of Epidemiology and Population Health
Department of Infectious Disease Epidemiology
Mathematical Modelling of Infectious Diseases
I am an applied Bayesian statistician interested in infectious deseases modelling. I have been working primarly in two areas:
- Hierarchical and spatio-temporal modelling of vector-borne infectious disease, such as dengue, Zika and Chikungunya.
- Modelling infectious sexually disease data from hard-to-reach populations, such as drug users and transgender women.
Disease and Health Conditions
Sexually transmitted infection
Vector borne disease
Latin America & Caribbean (all income levels)
A modelling approach for correcting reporting delays in disease surveillance data.
Statistics in medicine
Assessing respondent-driven sampling: A simulation study across different networks
Criminal justice involvement of crack cocaine users in the city of Rio de Janeiro and Greater Metropolitan Area: Implications for public health and the public security agenda.
The International journal on drug policy
Zika in Rio de Janeiro: Assessment of basic reproduction number and comparison with dengue outbreaks.
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.
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.
Drug and alcohol dependence
Binary regression analysis with network structure of respondent-driven