BSc, MSc, PhD
Lecturer
- School/Department
- School of Medicine, Medical Sciences and Nutrition
Biography
I am a mathematical modeller with a Doctorate in Physics from the Institute of Theoretical Physics - Sao Paulo State University, and Masters and Bachelor degrees in Physics from the Sao Carlos Institute of Physics - University of Sao Paulo.
After being awarded with my Doctoral degree in 2022, I worked as a Postdoctoral Researcher and Teaching Fellow in Modelling for Global Health within the Nuffield Department of Medicine, University of Oxford. During this period, I also had experiences as an expert modelling consultant in projects commissioned by the World Health Organization, The Global Fund and the UK Health Security Agency.
In 2023, I have joined the University of Aberdeen as a Lecturer in the Institute of Applied Health Sciences (IAHS) in the School of Medicine, Medical Sciences and Nutrition. Within the IAHS, I am a member of the Biostatistics and Health Data Science group, and the programme lead for the MSc in Health Data Science (online and on-campus).
Memberships and Affiliations
Impact Committe, Health Data Research UK
Organising Committee, MSc in Modelling for Global Health, University of Oxford
Latest Publications
COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys
Bajaj, S., Chen, S., Creswell, R., Naidoo, R., Tsui, J. L., Kolade, O., Nicholson, G., Lehmann, B., Hay, J. A., Kraemer, M. U. G., Aguas, R., Donnelly, C. A., Fowler, T., Hopkins, S., Cantrell, L., Dahal, P., White, L. J., Stepniewska, K., Voysey, M., Lambert, B., Amswych, M., Andersen-Waine, B., Bimpong, K., Bodley, A., Dickinson, S., Dittrich, S., Evans, T., Ferguson-Lewis, A., Franco, C., Gao, B., Hounsell, R., Kasim, M., Keene, C., Mahmood, U., Mills, M., Moldokmatova, A., Molyneux, S., Ngwafor Anye, R., Norman, J., Pan-Ngum, W., Pokharel, S., Polner, A., Rowe, E., Saralamba, S., Shretta, R., Silal, S., L-H Tsui, J., Wanat, M., EY-Oxford Health Analytics ConsortiumThe Lancet Digital Health, vol. 6, no. 11, pp. e778-e790Contributions to Journals: ArticlesAn evaluation of the national testing response during the COVID-19 pandemic in England: a multistage mixed-methods study protocol
Naidoo, R., Lambert, B., Voysey, M., Shretta, R., Keene, C. M., Wanat, M., Andersen-Waine, B., Dahal, P., Stepniewska, K., Hounsell, R., Molyneux, S., Pinto-Duschinsky, S., Rowe, E., Yenidogan, G., Fowler, T., White, L., EY-Oxford Health Analytics Consortium, Franco, C.BMJ Open, vol. 14, no. 6, e077271Contributions to Journals: ArticlesDecision to self-isolate during the COVID-19 pandemic in the UK: a rapid scoping review
Keene, C. M., Dickinson, S. (ed.), Naidoo, R. (ed.), Andersen-Waine, B. (ed.), Ferguson-Lewis, A. (ed.), Polner, A., Amswych, M., White, L. J. (ed.), Molyneux, S. (ed.), Wanat, M. (ed.), Consortium, a. E. H. A. (ed.), Moldokmatova, A. (ed.), Polner, A. (ed.), Ferguson-Lewis, A. (ed.), Andersen-Waine, B. (ed.), Gao, B. (ed.), Franco, C. (ed.), Keene, C. (ed.), Rowe, E. (ed.), Norman, J. (ed.), Stepniewska, K. (ed.), Bimpong, K. (ed.), Cantrell, L. (ed.), White, L. J. (ed.), Tsui, J. L. (ed.), Amswych, M. (ed.), Wanat, M. (ed.), Mills, M. C. (ed.), Voysey, M. (ed.), Kasim, M. (ed.), Dahal, P. (ed.), Hounsell, R. (ed.), Naidoo, R. (ed.), Lewis, R. (ed.), Shretta, R. (ed.), Anye, R. N. (ed.), Aguas, R. (ed.), Creswell, R. (ed.), Dittrich, S. (ed.), Molyneux, S. (ed.), Chen, S. (ed.), Silal, S. (ed.), Saralamba, S. (ed.), Dickinson, S. (ed.), Bajaj, S. (ed.), Pokharel, S. (ed.), Evans, T. (ed.), Mahmood, U. (ed.), Pan-ngum, W. (ed.), Lambert, B. (ed.), EY-Oxford Health Analytics ConsortiumBMJ Open, vol. 14, no. 3, 12Contributions to Journals: ArticlesModelling the impact of school reopening and contact tracing strategies on Covid-19 dynamics in different epidemiologic settings in Brazil
Borges, M., Ferreira, L., Poloni, S., Bagattini, A., Franco, C., da Rosa, M., Simon, L., Camey, S., Kuchenbecker, R., Prado, P., Diniz-Filho, J., Kraenkel, R., Coutinho, R., Toscano, C.Global Epidemiology, vol. 4, 100094Contributions to Journals: ArticlesPercolation across households in mechanistic models of non-pharmaceutical interventions in SARS-CoV-2 disease dynamics
Franco, C., Ferreira, L. S., Sudbrack, V., Borges, M. E., Poloni, S., Prado, P. I., White, L. J., Águas, R., Kraenkel, R. A., Coutinho, R. M.Epidemics, vol. 39, 100551Contributions to Journals: Articles
Prizes and Awards
2020 Best Applied BioMath Poster prize, Annual Meeting of the Society for Mathematical Biology - eSMB2020.
2020 Best PhD student Oral Presentation award, XLII Congresso Paulo Leal Ferreira de Física. Sao Paulo State University.
2020 PhD Research Internship Abroad, Sao Paulo Funding Agency, Brazil. University of Oxford.
2018 Doctoral Fellowship, Sao Paulo Funding Agency, Brazil. Sao Paulo State University.
2017 NDM Summer Studentship Programme, University of Oxford.
2016 Master’s Fellowship, Sao Paulo Funding Agency, Brazil. University of Sao Paulo.
2015 Undergraduate Research Bursary, Sao Paulo Funding Agency, Brazil. University of Sao Paulo.
2014 BSc Studentship Abroad, Science Without Borders Programme, Brazil. University of Liverpool.
2013 Undergraduate Research Bursary, National Council for Scientific and Technological Development, Brazil. University of Sao Paulo.
2012 BSc studentship abroad, Santander Universidades, Brazil. University of Porto.
Research Overview
I am interested in the use of mathematical models to simulate infectious disease dynamics, aiming primarily to inform health policy making and promote equitable access to health modelling skills.
During the COVID-19 health crisis, I have actively collaborated with the Observatório COVID-19 BR and the COVID-19 Modelling (CoMo) Consortium to develop mathematical models to inform policy making in Brazil and other countries. Recently, I was involved in a UKHSA commission with the aim to evaluate the UK COVID-19 testing response and prepare for future pandemics.
Currently, I am developing collaborations with local and global health organisations to support disease control and elimination, as well as working on basic research to develop better population-based models which incorporate heterogeneities observed at individual-level.
Research Areas
Accepting PhDs
I am currently accepting PhDs in Applied Health Sciences.
Please get in touch if you would like to discuss your research ideas further.
Applied Health Sciences
Accepting PhDsResearch Specialisms
- Mathematical Modelling
- Applied Mathematics
- Health Informatics
- Epidemiology
- Environmental and Public Health
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.
Programmes
- Postgraduate, 3 stage, September start
The MSc in Health Data Science is an interdisciplinary degree offered part-time online and full-time on-campus. In this degree you’ll study health research, statistics, and computing sciences to develop your health data science skills.
Page 1 of 2 Results 1 to 10 of 14
COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys
Bajaj, S., Chen, S., Creswell, R., Naidoo, R., Tsui, J. L., Kolade, O., Nicholson, G., Lehmann, B., Hay, J. A., Kraemer, M. U. G., Aguas, R., Donnelly, C. A., Fowler, T., Hopkins, S., Cantrell, L., Dahal, P., White, L. J., Stepniewska, K., Voysey, M., Lambert, B., Amswych, M., Andersen-Waine, B., Bimpong, K., Bodley, A., Dickinson, S., Dittrich, S., Evans, T., Ferguson-Lewis, A., Franco, C., Gao, B., Hounsell, R., Kasim, M., Keene, C., Mahmood, U., Mills, M., Moldokmatova, A., Molyneux, S., Ngwafor Anye, R., Norman, J., Pan-Ngum, W., Pokharel, S., Polner, A., Rowe, E., Saralamba, S., Shretta, R., Silal, S., L-H Tsui, J., Wanat, M., EY-Oxford Health Analytics ConsortiumThe Lancet Digital Health, vol. 6, no. 11, pp. e778-e790Contributions to Journals: ArticlesAn evaluation of the national testing response during the COVID-19 pandemic in England: a multistage mixed-methods study protocol
Naidoo, R., Lambert, B., Voysey, M., Shretta, R., Keene, C. M., Wanat, M., Andersen-Waine, B., Dahal, P., Stepniewska, K., Hounsell, R., Molyneux, S., Pinto-Duschinsky, S., Rowe, E., Yenidogan, G., Fowler, T., White, L., EY-Oxford Health Analytics Consortium, Franco, C.BMJ Open, vol. 14, no. 6, e077271Contributions to Journals: ArticlesDecision to self-isolate during the COVID-19 pandemic in the UK: a rapid scoping review
Keene, C. M., Dickinson, S. (ed.), Naidoo, R. (ed.), Andersen-Waine, B. (ed.), Ferguson-Lewis, A. (ed.), Polner, A., Amswych, M., White, L. J. (ed.), Molyneux, S. (ed.), Wanat, M. (ed.), Consortium, a. E. H. A. (ed.), Moldokmatova, A. (ed.), Polner, A. (ed.), Ferguson-Lewis, A. (ed.), Andersen-Waine, B. (ed.), Gao, B. (ed.), Franco, C. (ed.), Keene, C. (ed.), Rowe, E. (ed.), Norman, J. (ed.), Stepniewska, K. (ed.), Bimpong, K. (ed.), Cantrell, L. (ed.), White, L. J. (ed.), Tsui, J. L. (ed.), Amswych, M. (ed.), Wanat, M. (ed.), Mills, M. C. (ed.), Voysey, M. (ed.), Kasim, M. (ed.), Dahal, P. (ed.), Hounsell, R. (ed.), Naidoo, R. (ed.), Lewis, R. (ed.), Shretta, R. (ed.), Anye, R. N. (ed.), Aguas, R. (ed.), Creswell, R. (ed.), Dittrich, S. (ed.), Molyneux, S. (ed.), Chen, S. (ed.), Silal, S. (ed.), Saralamba, S. (ed.), Dickinson, S. (ed.), Bajaj, S. (ed.), Pokharel, S. (ed.), Evans, T. (ed.), Mahmood, U. (ed.), Pan-ngum, W. (ed.), Lambert, B. (ed.), EY-Oxford Health Analytics ConsortiumBMJ Open, vol. 14, no. 3, 12Contributions to Journals: ArticlesModelling the impact of school reopening and contact tracing strategies on Covid-19 dynamics in different epidemiologic settings in Brazil
Borges, M., Ferreira, L., Poloni, S., Bagattini, A., Franco, C., da Rosa, M., Simon, L., Camey, S., Kuchenbecker, R., Prado, P., Diniz-Filho, J., Kraenkel, R., Coutinho, R., Toscano, C.Global Epidemiology, vol. 4, 100094Contributions to Journals: ArticlesPercolation across households in mechanistic models of non-pharmaceutical interventions in SARS-CoV-2 disease dynamics
Franco, C., Ferreira, L. S., Sudbrack, V., Borges, M. E., Poloni, S., Prado, P. I., White, L. J., Águas, R., Kraenkel, R. A., Coutinho, R. M.Epidemics, vol. 39, 100551Contributions to Journals: ArticlesAssessing the best time interval between doses in a two-dose vaccination regimen to reduce the number of deaths in an ongoing epidemic of SARS-CoV-2
Ferreira, L. S., Flegg, J. A. (ed.), Canton, O., Silva, R. L. P. d., Poloni, S., Sudbrack, V., Borges, M. E., Franco, C., Marquitti, F. M. D., Moraes, J. C. d., Veras, M. A. d. S. M., Kraenkel, R. A., Coutinho, R. M.PLOS Computational Biology, vol. 18, no. 3, e1009978Contributions to Journals: ArticlesModel-based estimation of transmissibility and reinfection of SARS-CoV-2 P.1 variant
Coutinho, R., Marquitti, F., Ferreira, L., Borges, M., da Silva, R., Canton, O., Portella, T., Poloni, S., Franco, C., Plucinski, M., Lessa, F., da Silva, A., Kraenkel, R., de Sousa Mascena Veras, M., Prado, P.Communications Medicine, vol. 1, 48Contributions to Journals: ArticlesModeling the impact of school reopening and contact tracing strategies on COVID-19 dynamics in different epidemiologic settings in Brazil
Borges, M. E., Ferreira, L. S., Poloni, S., Bagattini, A. M., Franco, C., Rosa, M. Q. M. d., Simon, L. M., Camey, S. A., Kuchenbecker, R. d. S., Prado, P. I., Filho, J. A. F. D., Kraenkel, R. A., Coutinho, R. M., Toscano, C. M.Working Papers: Preprint PapersAssessing optimal time between doses in two-dose vaccination regimen in an ongoing epidemic of SARS-CoV-2
Ferreira, L. S., Canton, O., Silva, R. L. P. d., Poloni, S., Sudbrack, V., Borges, M. E., Franco, C., Marquitti, F. M. D., Moraes, J. C. d., Veras, M. A. d. S. M., Kraenkel, R. A., Coutinho, R. M.Working Papers: Preprint Papers- [ONLINE] DOI: https://doi.org/10.1101/2021.07.28.21261200
Percolation across households in mechanistic models of non-pharmaceutical interventions in SARS-CoV-2 disease dynamics
Franco, C., Ferreira, L. S., Sudbrack, V., Borges, M. E., Poloni, S., Prado, P. I., White, L. J., Águas, R., Kraenkel, R. A., Coutinho, R. M.Working Papers: Preprint Papers- [ONLINE] DOI: https://doi.org/10.1101/2021.06.07.21258403
