Sébastien Ballesteros

ORCID: 0000-0002-2223-4735
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Influenza Virus Research Studies
  • COVID-19 epidemiological studies
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Evolution and Genetic Dynamics
  • Respiratory viral infections research
  • Artificial Immune Systems Applications
  • Data-Driven Disease Surveillance
  • Genetics, Bioinformatics, and Biomedical Research
  • Machine Learning and Algorithms
  • Animal Disease Management and Epidemiology
  • HIV Research and Treatment
  • Time Series Analysis and Forecasting
  • Scientific Computing and Data Management
  • Markov Chains and Monte Carlo Methods
  • Distributed Sensor Networks and Detection Algorithms
  • Computational Physics and Python Applications
  • Digestive system and related health
  • Complex Systems and Time Series Analysis
  • Parasitic Infections and Diagnostics
  • Advanced Battery Technologies Research
  • Mathematical Biology Tumor Growth
  • Ecosystem dynamics and resilience
  • Advanced Statistical Methods and Models
  • Energy Load and Power Forecasting
  • Zoonotic diseases and public health

The University of Melbourne
2024

Ecologie & Evolution
2008-2014

Princeton University
2013-2014

Fundação para a Ciência e Tecnologia
2010-2012

University of Lisbon
2010-2012

Vrije Universiteit Amsterdam
2011

Sorbonne Université
2009-2011

AgroParisTech
2011

Centre National de la Recherche Scientifique
2011

Universidade Nova de Lisboa
2010

The 2009 H1N1 influenza pandemic provides a unique opportunity for detailed examination of the spatial dynamics an emerging pathogen. In US, was characterized by substantial geographical heterogeneity: spring wave limited mainly to northeastern cities while larger fall affected whole country. Here we use finely resolved and temporal disease data based on electronic medical claims explore spread across 271 US associated suburban areas. We document clear pattern in timing onset wave, starting...

10.1371/journal.pcbi.1003635 article EN cc-by PLoS Computational Biology 2014-06-12

Fine-grained influenza surveillance data are lacking in the US, hampering our ability to monitor disease spread at a local scale. Here we evaluate performances of high-volume electronic medical claims assess and regional activity.We used compiled by IMS Health 480 US locations create weekly influenza-like-illness (ILI) time series during 2003-2010. captured 62% outpatient visits 2009. We studied IMS-ILI indicators against reference datasets, including CDC-ILI laboratory-confirmed data....

10.1371/journal.pone.0102429 article EN cc-by PLoS ONE 2014-07-29

Influenza usually spreads through the human population in multiple-wave outbreaks. Successive reinfection of individuals over a short time interval has been explicitly reported during past pandemics. However, causes rapid and role driving outbreaks remain poorly understood. To investigate these issues, we focus on two-wave influenza A/H3N2 epidemic that occurred remote island Tristan da Cunha 1971. Over 59 days, 273 (96%) 284 islanders experienced at least one attack 92 (32%) two attacks. We...

10.1098/rspb.2011.0300 article EN Proceedings of the Royal Society B Biological Sciences 2011-04-27

We revisit the parameter estimation framework for population biological dynamical systems, and apply it to calibrate various models in epidemiology with empirical time series, namely influenza dengue fever. When comes more complex such as multi-strain dynamics describe virus–host interaction fever, even most recently developed techniques, maximum likelihood iterated filtering, reach their computational limits. However, first results of data on fever from Thailand indicate a subtle interplay...

10.1098/rsfs.2011.0103 article EN Interface Focus 2012-02-01

We analyze the impact of birth seasonality (seasonal oscillations in rate) on dynamics acute, immunizing childhood infectious diseases. Previous research has explored effect human disease using parameters appropriate for developed world. build this work by including our analysis an extended range baseline rates and amplitudes, which correspond to developing world settings. Additionally, accounts seasonal forcing both births contact rates. focus particular measles. In absence transmission or...

10.1371/journal.pone.0075806 article EN cc-by PLoS ONE 2013-10-18

Norovirus (NoV) transmission may be impacted by changes in symptom intensity. Sudden onset of vomiting, which cause an initial period hyper-infectiousness, often marks the beginning symptoms. This is followed by: a 1-3 day milder symptoms, environmental contamination following and post-symptomatic shedding that result at progressively lower rates. Existing models have not included time-varying infectiousness, though representing these features could add utility to NoV transmission.

10.1371/journal.pone.0068413 article EN cc-by PLoS ONE 2013-07-24

The recurrence of influenza A epidemics has originally been explained by a "continuous antigenic drift" scenario. Recently, it shown that if genetic drift is gradual, the evolution main antigen, haemagglutinin, punctuated. As consequence, suggested dynamics at population level should be approximated serial model. Here, simple models are used to test whether model requires gradual within groups strains with same properties (antigenic clusters). We compare effect status based and history...

10.1371/journal.pone.0007426 article EN cc-by PLoS ONE 2009-10-19

Background Mother-to-child transmission (MTCT) is responsible for most pediatric HIV-1 infections worldwide. It can occur during pregnancy, labor, or breastfeeding. Numerous studies have used coalescent and molecular clock methods to understand the epidemic history of HIV-1, but timing vertical has not been studied using these methods. Taking advantage constant accumulation HIV genetic variation over time longitudinally sampled viral sequences, we a approach investigate MTCT. Materials...

10.1371/journal.pone.0090421 article EN cc-by PLoS ONE 2014-04-09

The main motivation behind the open source library SSM is to reduce technical friction that prevents modellers from sharing their work, quickly iterating in crisis situations, and making work directly usable by public authorities serve decision-making.

10.48550/arxiv.1307.5626 preprint EN other-oa arXiv (Cornell University) 2013-01-01

1. The disparity of the spatial domains used by predators and prey is a common feature many terrestrial avian mammalian predatory interactions, as are typically more mobile have larger home ranges than their prey. 2. Incorporating these realistic behavioural features requires formulating predator-prey models having local mortality due to predation its aggregation, in order generate numerical response at timescales longer consumption. Coupling population dynamics occurring different scales...

10.1111/j.1365-2656.2008.01419.x article EN Journal of Animal Ecology 2008-06-06

Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation Maíra Aguiar, Sebastien Ballesteros, Nico Stollenwerk; Two Strain Dengue Model with Temporary Cross Immunity Seasonality. AIP Conf. Proc. 30 September 2010; 1281 (1): 732–735. https://doi.org/10.1063/1.3498585 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote...

10.1063/1.3498585 article EN AIP conference proceedings 2010-01-01

We revisit the parameter estimation framework for population biological dynamical systems, and apply it to calibrate various models in epidemiology with empirical time series, namely influenza dengue fever. When comes more complex like multi‐strain dynamics describe virus‐host interaction fever, even most recently developed techniques, maximum likelihood iterated filtering, come their computational limits. However, first results of data on fever from Thailand indicate a subtle interplay...

10.1063/1.3637843 article EN AIP conference proceedings 2011-01-01

Chytridiomycosis is a devastating disease and key cause of amphibian population declines around the world. Despite active research on this system for over 2 decades, we still do not have treatment methods that are safe can be broadly used across species. Here, show evidence voriconazole successful method 1 species in captivity could offer benefits other options like heat or itraconazole, which able to all life stages. We conducted treatments chytridiomycosis using voriconazole. The was...

10.3354/dao03795 article EN Diseases of Aquatic Organisms 2024-05-14

Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation Sebastien Ballesteros, Jaime Combadao; Evolutionary Outcomes of Human Infectious Diseases. AIP Conf. Proc. 30 September 2010; 1281 (1): 741–742. https://doi.org/10.1063/1.3498587 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search...

10.1063/1.3498587 article EN AIP conference proceedings 2010-01-01
Coming Soon ...